diff --git a/.buildinfo b/.buildinfo index 17cb1b24529..ee1d4c373a6 100644 --- a/.buildinfo +++ b/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 1f6f0d11edfb90c5f4003df029b4916c +config: dfd6a5c4917205258f274135cb589a79 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/_modules/dpnp/dpnp_array.html b/_modules/dpnp/dpnp_array.html index 9869bdfb56d..d2dfc690953 100644 --- a/_modules/dpnp/dpnp_array.html +++ b/_modules/dpnp/dpnp_array.html @@ -12,7 +12,7 @@ - dpnp.dpnp_array — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_array — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -873,8 +873,29 @@

Source code for dpnp.dpnp_array

 
 

 [docs]
-    def dot(self, other, out=None):
-        return dpnp.dot(self, other, out)

+    def dot(self, b, out=None):
+        """
+        Dot product of two arrays.
+
+        For full documentation refer to :obj:`dpnp.dot`.
+
+        Examples
+        --------
+        >>> import dpnp as np
+        >>> a = np.eye(2)
+        >>> b = np.ones((2, 2)) * 2
+        >>> a.dot(b)
+        array([[2., 2.],
+               [2., 2.]])
+
+        This array method can be conveniently chained:
+
+        >>> a.dot(b).dot(b)
+        array([[8., 8.],
+               [8., 8.]])
+        """
+
+        return dpnp.dot(self, b, out)
@property diff --git a/_modules/dpnp/dpnp_flatiter.html b/_modules/dpnp/dpnp_flatiter.html index 336a153de8d..7155589cf86 100644 --- a/_modules/dpnp/dpnp_flatiter.html +++ b/_modules/dpnp/dpnp_flatiter.html @@ -12,7 +12,7 @@ - dpnp.dpnp_flatiter — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_flatiter — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface.html b/_modules/dpnp/dpnp_iface.html index fa3fe1cd2c3..6598788900e 100644 --- a/_modules/dpnp/dpnp_iface.html +++ b/_modules/dpnp/dpnp_iface.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_arraycreation.html b/_modules/dpnp/dpnp_iface_arraycreation.html index 2cd997bc21c..e371e80eebd 100644 --- a/_modules/dpnp/dpnp_iface_arraycreation.html +++ b/_modules/dpnp/dpnp_iface_arraycreation.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_arraycreation — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_arraycreation — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -204,6 +204,30 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.arange`. + Parameters + ---------- + start : {int, real}, optional + Start of interval. The interval includes this value. The default start value is 0. + stop : {int, real} + End of interval. The interval does not include this value, except in some cases + where `step` is not an integer and floating point round-off affects the length of out. + step : {int, real}, optional + Spacing between values. The default `step` size is 1. If `step` is specified as + a position argument, `start` must also be given. + dtype : dtype, optional + The desired dtype for the array. If not given, a default dtype will be used that can represent + the values (by considering Promotion Type Rule and device capabilities when necessary.) + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {"device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is "device". + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- out : dpnp.ndarray @@ -221,12 +245,26 @@

Source code for dpnp.dpnp_iface_arraycreation

Examples -------- >>> import dpnp as np - >>> [i for i in np.arange(3)] - [0, 1, 2] - >>> [i for i in np.arange(3, 7)] - [3, 4, 5, 6] - >>> [i for i in np.arange(3, 7, 2)] - [3, 5] + >>> np.arange(3) + array([0, 1, 2]) + >>> np.arange(3, 7) + array([3, 4, 5, 6]) + >>> np.arange(3, 7, 2) + array([3, 5]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.arange(3) # default case + >>> x, x.device, x.usm_type + (array([0, 1, 2]), Device(level_zero:gpu:0), 'device') + + >>> y = np.arange(3, device="cpu") + >>> y, y.device, y.usm_type + (array([0, 1, 2]), Device(opencl:cpu:0), 'device') + + >>> z = np.arange(3, usm_type="host") + >>> z, z.device, z.usm_type + (array([0, 1, 2]), Device(level_zero:gpu:0), 'host') """ @@ -267,6 +305,29 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.array`. + Parameters + ---------- + a : array_like + Input data, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + dtype : dtype, optional + The desired dtype for the array. If not given, a default dtype will be used that can represent + the values (by considering Promotion Type Rule and device capabilities when necessary.) + copy : bool, optional + If ``True`` (default), then the object is copied. + order : {"C", "F", "A", "K"}, optional + Memory layout of the newly output array. Default: "K". + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- out : dpnp.ndarray @@ -296,17 +357,31 @@

Source code for dpnp.dpnp_iface_arraycreation

>>> x = np.array([1, 2, 3]) >>> x.ndim, x.size, x.shape (1, 3, (3,)) - >>> print(x) - [1 2 3] + >>> x + array([1, 2, 3]) More than one dimension: >>> x2 = np.array([[1, 2], [3, 4]]) >>> x2.ndim, x2.size, x2.shape (2, 4, (2, 2)) - >>> print(x2) - [[1 2] - [3 4]] + >>> x2 + array([[1, 2], + [3, 4]]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.array([1, 2, 3]) # default case + >>> x, x.device, x.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'device') + + >>> y = np.array([1, 2, 3], device="cpu") + >>> y, y.device, y.usm_type + (array([1, 2, 3]), Device(opencl:cpu:0), 'device') + + >>> z = np.array([1, 2, 3], usm_type="host") + >>> z, z.device, z.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'host') """ @@ -360,6 +435,27 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.asanyarray`. + Parameters + ---------- + a : array_like + Input data, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + dtype : dtype, optional + The desired dtype for the array. If not given, a default dtype will be used that can represent + the values (by considering Promotion Type Rule and device capabilities when necessary.) + order : {"C", "F", "A", "K"}, optional + Memory layout of the newly output array. Default: "K". + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- out : dpnp.ndarray @@ -389,6 +485,20 @@

Source code for dpnp.dpnp_iface_arraycreation

>>> np.asanyarray([1, 2, 3]) array([1, 2, 3]) + Creating an array on a different device or with a specified usm_type + + >>> x = np.asanyarray([1, 2, 3]) # default case + >>> x, x.device, x.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'device') + + >>> y = np.asanyarray([1, 2, 3], device="cpu") + >>> y, y.device, y.usm_type + (array([1, 2, 3]), Device(opencl:cpu:0), 'device') + + >>> z = np.asanyarray([1, 2, 3], usm_type="host") + >>> z, z.device, z.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'host') + """ if like is not None: @@ -424,6 +534,27 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.asarray`. + Parameters + ---------- + a : array_like + Input data, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + dtype : dtype, optional + The desired dtype for the array. If not given, a default dtype will be used that can represent + the values (by considering Promotion Type Rule and device capabilities when necessary.) + order : {"C", "F", "A", "K"}, optional + Memory layout of the newly output array. Default: "K". + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- out : dpnp.ndarray @@ -454,6 +585,20 @@

Source code for dpnp.dpnp_iface_arraycreation

>>> np.asarray([1, 2, 3]) array([1, 2, 3]) + Creating an array on a different device or with a specified usm_type + + >>> x = np.asarray([1, 2, 3]) # default case + >>> x, x.device, x.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'device') + + >>> y = np.asarray([1, 2, 3], device="cpu") + >>> y, y.device, y.usm_type + (array([1, 2, 3]), Device(opencl:cpu:0), 'device') + + >>> z = np.asarray([1, 2, 3], usm_type="host") + >>> z, z.device, z.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'host') + """ if like is not None: @@ -483,6 +628,25 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.ascontiguousarray`. + Parameters + ---------- + a : array_like + Input data, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + dtype : dtype, optional + The desired dtype for the array. If not given, a default dtype will be used that can represent + the values (by considering Promotion Type Rule and device capabilities when necessary.) + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- out : dpnp.ndarray @@ -528,6 +692,21 @@

Source code for dpnp.dpnp_iface_arraycreation

>>> x is y True + Creating an array on a different device or with a specified usm_type + + >>> x0 = np.asarray([1, 2, 3]) + >>> x = np.ascontiguousarray(x0) # default case + >>> x, x.device, x.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'device') + + >>> y = np.ascontiguousarray(x0, device="cpu") + >>> y, y.device, y.usm_type + (array([1, 2, 3]), Device(opencl:cpu:0), 'device') + + >>> z = np.ascontiguousarray(x0, usm_type="host") + >>> z, z.device, z.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'host') + """ if like is not None: @@ -537,7 +716,7 @@

Source code for dpnp.dpnp_iface_arraycreation

) # at least 1-d array has to be returned - if a.ndim == 0: + if dpnp.isscalar(a) or hasattr(a, "ndim") and a.ndim == 0: a = [a] return asarray( @@ -561,6 +740,25 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.asfortranarray`. + Parameters + ---------- + a : array_like + Input data, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + dtype : dtype, optional + The desired dtype for the array. If not given, a default dtype will be used that can represent + the values (by considering Promotion Type Rule and device capabilities when necessary.) + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- out : dpnp.ndarray @@ -608,6 +806,21 @@

Source code for dpnp.dpnp_iface_arraycreation

>>> x is y True + Creating an array on a different device or with a specified usm_type + + >>> x0 = np.asarray([1, 2, 3]) + >>> x = np.asfortranarray(x0) # default case + >>> x, x.device, x.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'device') + + >>> y = np.asfortranarray(x0, device="cpu") + >>> y, y.device, y.usm_type + (array([1, 2, 3]), Device(opencl:cpu:0), 'device') + + >>> z = np.asfortranarray(x0, usm_type="host") + >>> z, z.device, z.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'host') + """ if like is not None: @@ -617,7 +830,7 @@

Source code for dpnp.dpnp_iface_arraycreation

) # at least 1-d array has to be returned - if a.ndim == 0: + if dpnp.isscalar(a) or hasattr(a, "ndim") and a.ndim == 0: a = [a] return asarray( @@ -633,12 +846,32 @@

Source code for dpnp.dpnp_iface_arraycreation

[docs] -def copy(a, order="K", subok=False): +def copy( + a, order="K", subok=False, device=None, usm_type=None, sycl_queue=None +): """ Return an array copy of the given object. For full documentation refer to :obj:`numpy.copy`. + Parameters + ---------- + a : array_like + Input data, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + order : {"C", "F", "A", "K"}, optional + Memory layout of the newly output array. Default: "K". + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Limitations ----------- Parameter `subok` is supported only with default value ``False``. @@ -676,6 +909,21 @@

Source code for dpnp.dpnp_iface_arraycreation

>>> x[0] == z[0] array(False) + Creating an array on a different device or with a specified usm_type + + >>> x0 = np.array([1, 2, 3]) + >>> x = np.copy(x0) # default case + >>> x, x.device, x.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'device') + + >>> y = np.copy(x0, device="cpu") + >>> y, y.device, y.usm_type + (array([1, 2, 3]), Device(opencl:cpu:0), 'device') + + >>> z = np.copy(x0, usm_type="host") + >>> z, z.device, z.usm_type + (array([1, 2, 3]), Device(level_zero:gpu:0), 'host') + """ if subok is not False: @@ -685,9 +933,23 @@

Source code for dpnp.dpnp_iface_arraycreation

) if dpnp.is_supported_array_type(a): - return dpnp_container.copy(a, order=order) + sycl_queue_normalized = dpnp.get_normalized_queue_device( + a, device=device, sycl_queue=sycl_queue + ) + if ( + usm_type is None or usm_type == a.usm_type + ) and sycl_queue_normalized == a.sycl_queue: + return dpnp_container.copy(a, order=order) - return array(a, order=order, subok=subok, copy=True)
+ return array( + a, + order=order, + subok=subok, + copy=True, + device=device, + usm_type=usm_type, + sycl_queue=sycl_queue, + )
@@ -699,16 +961,32 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.diag`. + Parameters + ---------- + v : array_like + Input data, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + If `v` is a 2-D array, return a copy of its k-th diagonal. If `v` is a 1-D array, + return a 2-D array with `v` on the k-th diagonal. + k : int, optional + Diagonal in question. The default is 0. Use k > 0 for diagonals above the main diagonal, + and k < 0 for diagonals below the main diagonal. + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- out : dpnp.ndarray The extracted diagonal or constructed diagonal array. - Limitations - ----------- - Parameter `k` is only supported as integer data type. - Otherwise ``TypeError`` exception will be raised. - See Also -------- :obj:`diagonal` : Return specified diagonals. @@ -720,24 +998,38 @@

Source code for dpnp.dpnp_iface_arraycreation

Examples -------- >>> import dpnp as np - >>> x = np.arange(9).reshape((3,3)) - >>> x + >>> x0 = np.arange(9).reshape((3, 3)) + >>> x0 array([[0, 1, 2], [3, 4, 5], [6, 7, 8]]) - >>> np.diag(x) + >>> np.diag(x0) array([0, 4, 8]) - >>> np.diag(x, k=1) + >>> np.diag(x0, k=1) array([1, 5]) - >>> np.diag(x, k=-1) + >>> np.diag(x0, k=-1) array([3, 7]) - >>> np.diag(np.diag(x)) + >>> np.diag(np.diag(x0)) array([[0, 0, 0], [0, 4, 0], [0, 0, 8]]) + Creating an array on a different device or with a specified usm_type + + >>> x = np.diag(x0) # default case + >>> x, x.device, x.usm_type + (array([0, 4, 8]), Device(level_zero:gpu:0), 'device') + + >>> y = np.diag(x0, device="cpu") + >>> y, y.device, y.usm_type + (array([0, 4, 8]), Device(opencl:cpu:0), 'device') + + >>> z = np.diag(x0, usm_type="host") + >>> z, z.device, z.usm_type + (array([0, 4, 8]), Device(level_zero:gpu:0), 'host') + """ if not isinstance(k, int): @@ -786,6 +1078,26 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.diagflat`. + Parameters + ---------- + v : array_like + Input data, which is flattened and set as the k-th diagonal of the output, + in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + k : int, optional + Diagonal to set; 0, the default, corresponds to the "main" diagonal, + a positive (negative) k giving the number of the diagonal above (below) the main. + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- out : dpnp.ndarray @@ -805,19 +1117,42 @@

Source code for dpnp.dpnp_iface_arraycreation

Examples -------- >>> import dpnp as np - >>> x = np.array([[1,2], [3,4]]) - >>> np.diagflat(x) + >>> x0 = np.array([[1, 2], [3, 4]]) + >>> np.diagflat(x0) array([[1, 0, 0, 0], [0, 2, 0, 0], [0, 0, 3, 0], [0, 0, 0, 4]]) - >>> np.diagflat(x, 1) + >>> np.diagflat(x0, 1) array([[0, 1, 0, 0, 0], - [0, 0, 2, 0, 0], - [0, 0, 0, 3, 0], - [0, 0, 0, 0, 4], - [0, 0, 0, 0, 0]]) + [0, 0, 2, 0, 0], + [0, 0, 0, 3, 0], + [0, 0, 0, 0, 4], + [0, 0, 0, 0, 0]]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.diagflat(x0) # default case + >>> x, x.device, x.usm_type + array([[1, 0, 0, 0], + [0, 2, 0, 0], + [0, 0, 3, 0], + [0, 0, 0, 4]]), Device(level_zero:gpu:0), 'device') + + >>> y = np.diagflat(x0, device="cpu") + >>> y, y.device, y.usm_type + array([[1, 0, 0, 0], + [0, 2, 0, 0], + [0, 0, 3, 0], + [0, 0, 0, 4]]), Device(opencl:cpu:0), 'device') + + >>> z = np.diagflat(x0, usm_type="host") + >>> z, z.device, z.usm_type + array([[1, 0, 0, 0], + [0, 2, 0, 0], + [0, 0, 3, 0], + [0, 0, 0, 4]]), Device(level_zero:gpu:0), 'host') """ @@ -849,9 +1184,33 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.empty`. + Parameters + ---------- + shape : {int, sequence of ints} + Shape of the new array, e.g., (2, 3) or 2. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + order : {"C", "F"}, optional + Memory layout of the newly output array. Default: "C". + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {"device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is "device". + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + + Returns + ------- + out : dpnp.ndarray + Array of uninitialized data of the given shape, dtype, and order. + Limitations ----------- - Parameter `order` is supported only with values ``"C"`` and ``"F"``. Parameter `like` is supported only with default value ``None``. Otherwise the function will be executed sequentially on CPU. @@ -865,9 +1224,22 @@

Source code for dpnp.dpnp_iface_arraycreation

Examples -------- >>> import dpnp as np - >>> x = np.empty(4) - >>> print(x) - [0. 0. 0. 0.] + >>> np.empty(4) + array([9.03088525e-312, 9.03088525e-312, 9.03088525e-312, 9.03088525e-312]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.empty((3, 3)) # default case + >>> x.shape, x.device, x.usm_type + ((3, 3), Device(level_zero:gpu:0), 'device') + + >>> y = np.empty((3, 3), device="cpu") + >>> y.shape, y.device, y.usm_type + ((3, 3), Device(opencl:cpu:0), 'device') + + >>> z = np.empty((3, 3), usm_type="host") + >>> z.shape, z.device, z.usm_type + ((3, 3), Device(level_zero:gpu:0), 'host') """ @@ -892,7 +1264,7 @@

Source code for dpnp.dpnp_iface_arraycreation

[docs] def empty_like( - x1, + a, /, *, dtype=None, @@ -908,10 +1280,35 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.empty_like`. + Parameters + ---------- + a : {dpnp_array, usm_ndarray} + The shape and dtype of `a` define these same attributes of the returned array. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + order : {"C", "F"}, optional + Memory layout of the newly output array. Default: "C". + shape : {int, sequence of ints} + Overrides the shape of the result. + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + + Returns + ------- + out : dpnp.ndarray + Array of uninitialized data with the same shape and type as prototype. + Limitations ----------- - Parameter `x1` is supported as :class:`dpnp.dpnp.ndarray` or :class:`dpctl.tensor.usm_ndarray` - Parameter `order` is supported with values ``"C"`` or ``"F"``. Parameter `subok` is supported only with default value ``False``. Otherwise the function will be executed sequentially on CPU. @@ -926,24 +1323,37 @@

Source code for dpnp.dpnp_iface_arraycreation

-------- >>> import dpnp as np >>> a = np.array([1, 2, 3]) - >>> x = np.empty_like(a) - >>> [i for i in x] - [0, 0, 0] + >>> np.empty_like(a) + array([1, 2, 3]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.empty_like(a) # default case + >>> x.shape, x.device, x.usm_type + ((3, ), Device(level_zero:gpu:0), 'device') + + >>> y = np.empty_like(a, device="cpu") + >>> y.shape, y.device, y.usm_type + ((3, ), Device(opencl:cpu:0), 'device') + + >>> z = np.empty_like(a, usm_type="host") + >>> z.shape, z.device, z.usm_type + ((3, ), Device(level_zero:gpu:0), 'host') """ - if not isinstance(x1, (dpnp.ndarray, dpt.usm_ndarray)): + if not isinstance(a, (dpnp.ndarray, dpt.usm_ndarray)): pass elif order not in ("C", "c", "F", "f", None): pass elif subok is not False: pass else: - _shape = x1.shape if shape is None else shape - _dtype = x1.dtype if dtype is None else dtype - _usm_type = x1.usm_type if usm_type is None else usm_type + _shape = a.shape if shape is None else shape + _dtype = a.dtype if dtype is None else dtype + _usm_type = a.usm_type if usm_type is None else usm_type _sycl_queue = dpnp.get_normalized_queue_device( - x1, sycl_queue=sycl_queue, device=device + a, sycl_queue=sycl_queue, device=device ) return dpnp_container.empty( _shape, @@ -953,7 +1363,7 @@

Source code for dpnp.dpnp_iface_arraycreation

sycl_queue=_sycl_queue, ) - return call_origin(numpy.empty_like, x1, dtype, order, subok, shape)
+ return call_origin(numpy.empty_like, a, dtype, order, subok, shape)
@@ -977,6 +1387,37 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.eye`. + Parameters + ---------- + N : int + Number of rows in the output. + M : int, optional + Number of columns in the output. If None, defaults to `N`. + k : int, optional + Index of the diagonal: 0 (the default) refers to the main diagonal, + a positive value refers to an upper diagonal, and a negative value to a lower diagonal. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + order : {"C", "F"}, optional + Memory layout of the newly output array. Default: "C". + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {"device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is "device". + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + + Returns + ------- + out : dpnp.ndarray + An array where all elements are equal to zero, except for the k-th diagonal, + whose values are equal to one. + Limitations ----------- Parameter `order` is supported only with values ``"C"`` and ``"F"``. @@ -995,6 +1436,23 @@

Source code for dpnp.dpnp_iface_arraycreation

[0., 0., 1.], [0., 0., 0.]]) + Creating an array on a different device or with a specified usm_type + + >>> x = np.eye(2, dtype=int) # default case + >>> x, x.device, x.usm_type + (array([[1, 0], + [0, 1]]), Device(level_zero:gpu:0), 'device') + + >>> y = np.eye(2, dtype=int, device="cpu") + >>> y, y.device, y.usm_type + (array([[1, 0], + [0, 1]]), Device(opencl:cpu:0), 'device') + + >>> z = np.eye(2, dtype=int, usm_type="host") + >>> z, z.device, z.usm_type + (array([[1, 0], + [0, 1]]), Device(level_zero:gpu:0), 'host') + """ if order not in ("C", "c", "F", "f", None): pass @@ -1133,6 +1591,34 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.full`. + Parameters + ---------- + shape : {int, sequence of ints} + Shape of the new array, e.g., (2, 3) or 2. + fill_value : {scalar, array_like} + Fill value, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + order : {"C", "F"}, optional + Memory layout of the newly output array. Default: "C". + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + + Returns + ------- + out : dpnp.ndarray + Array of `fill_value` with the given shape, dtype, and order. + Limitations ----------- Parameter `order` is supported only with values ``"C"`` and ``"F"``. @@ -1149,9 +1635,22 @@

Source code for dpnp.dpnp_iface_arraycreation

Examples -------- >>> import dpnp as np - >>> x = np.full(4, 10) - >>> [i for i in x] - [10, 10, 10, 10] + >>> np.full(4, 10) + array([10, 10, 10, 10]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.full(4, 10) # default case + >>> x, x.device, x.usm_type + (array([10, 10, 10, 10]), Device(level_zero:gpu:0), 'device') + + >>> y = np.full(4, 10, device="cpu") + >>> y, y.device, y.usm_type + (array([10, 10, 10, 10]), Device(opencl:cpu:0), 'device') + + >>> z = np.full(4, 10, usm_type="host") + >>> z, z.device, z.usm_type + (array([10, 10, 10, 10]), Device(level_zero:gpu:0), 'host') """ @@ -1177,7 +1676,7 @@

Source code for dpnp.dpnp_iface_arraycreation

[docs] def full_like( - x1, + a, /, fill_value, *, @@ -1194,9 +1693,38 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.full_like`. + Parameters + ---------- + a : {dpnp_array, usm_ndarray} + The shape and dtype of `a` define these same attributes of the returned array. + fill_value : {scalar, array_like} + Fill value, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + order : {"C", "F"}, optional + Memory layout of the newly output array. Default: "C". + shape : {int, sequence of ints} + Overrides the shape of the result. + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + + Returns + ------- + out : dpnp.ndarray + Array of `fill_value` with the same shape and type as `a`. + Limitations ----------- - Parameter `x1` is supported as :class:`dpnp.dpnp.ndarray` or :class:`dpctl.tensor.usm_ndarray` Parameter `order` is supported only with values ``"C"`` and ``"F"``. Parameter `subok` is supported only with default value ``False``. Otherwise the function will be executed sequentially on CPU. @@ -1212,23 +1740,36 @@

Source code for dpnp.dpnp_iface_arraycreation

-------- >>> import dpnp as np >>> a = np.arange(6) - >>> x = np.full_like(a, 1) - >>> [i for i in x] - [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] + >>> np.full_like(a, 1) + array([1, 1, 1, 1, 1, 1]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.full_like(a, 1) # default case + >>> x, x.device, x.usm_type + (array([1, 1, 1, 1, 1, 1]), Device(level_zero:gpu:0), 'device') + + >>> y = np.full_like(a, 1, device="cpu") + >>> y, y.device, y.usm_type + (array([1, 1, 1, 1, 1, 1]), Device(opencl:cpu:0), 'device') + + >>> z = np.full_like(a, 1, usm_type="host") + >>> z, z.device, z.usm_type + (array([1, 1, 1, 1, 1, 1]), Device(level_zero:gpu:0), 'host') """ - if not isinstance(x1, (dpnp.ndarray, dpt.usm_ndarray)): + if not isinstance(a, (dpnp.ndarray, dpt.usm_ndarray)): pass elif order not in ("C", "c", "F", "f", None): pass elif subok is not False: pass else: - _shape = x1.shape if shape is None else shape - _dtype = x1.dtype if dtype is None else dtype - _usm_type = x1.usm_type if usm_type is None else usm_type + _shape = a.shape if shape is None else shape + _dtype = a.dtype if dtype is None else dtype + _usm_type = a.usm_type if usm_type is None else usm_type _sycl_queue = dpnp.get_normalized_queue_device( - x1, sycl_queue=sycl_queue, device=device + a, sycl_queue=sycl_queue, device=device ) return dpnp_container.full( @@ -1239,7 +1780,7 @@

Source code for dpnp.dpnp_iface_arraycreation

usm_type=_usm_type, sycl_queue=_sycl_queue, ) - return numpy.full_like(x1, fill_value, dtype, order, subok, shape)
+ return numpy.full_like(a, fill_value, dtype, order, subok, shape)
@@ -1249,7 +1790,7 @@

Source code for dpnp.dpnp_iface_arraycreation

start, stop, /, - num, + num=50, *, dtype=None, device=None, @@ -1263,6 +1804,40 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.geomspace`. + Parameters + ---------- + start : array_like + The starting value of the sequence, in any form that can be converted to an array. + This includes scalars, lists, lists of tuples, tuples, tuples of tuples, + tuples of lists, and ndarrays. + stop : array_like + The final value of the sequence, in any form that can be converted to an array. + This includes scalars, lists, lists of tuples, tuples, tuples of tuples, + tuples of lists, and ndarrays. If `endpoint` is ``False`` num + 1 values + are spaced over the interval in log-space, of which all but the last + (a sequence of length num) are returned. + num : int, optional + Number of samples to generate. Default is 50. + dtype : dtype, optional + The desired dtype for the array. If not given, a default dtype will be used that can represent + the values (by considering Promotion Type Rule and device capabilities when necessary.) + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + endpoint : bool, optional + If ``True``, `stop` is the last sample. Otherwise, it is not included. Default is ``True``. + axis : int, optional + The axis in the result to store the samples. Relevant only if start or stop are array-like. + By default (0), the samples will be along a new axis inserted at the beginning. + Use -1 to get an axis at the end. + Returns ------- out : dpnp.ndarray @@ -1299,6 +1874,20 @@

Source code for dpnp.dpnp_iface_arraycreation

>>> np.geomspace(-1000, -1, num=4) array([-1000., -100., -10., -1.]) + Creating an array on a different device or with a specified usm_type + + >>> x = np.geomspace(1000, 1, num=4) # default case + >>> x, x.device, x.usm_type + (array([1000., 100., 10., 1.]), Device(level_zero:gpu:0), 'device') + + >>> y = np.geomspace(1000, 1, num=4, device="cpu") + >>> y, y.device, y.usm_type + (array([1000., 100., 10., 1.]), Device(opencl:cpu:0), 'device') + + >>> z = np.geomspace(1000, 1, num=4, usm_type="host") + >>> z, z.device, z.usm_type + (array([1000., 100., 10., 1.]), Device(level_zero:gpu:0), 'host') + """ return dpnp_geomspace( @@ -1334,6 +1923,24 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.identity`. + Parameters + ---------- + n : int + Number of rows (and columns) in `n` x `n` output. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {"device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is "device". + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- out : dpnp.ndarray @@ -1359,21 +1966,41 @@

Source code for dpnp.dpnp_iface_arraycreation

[0., 1., 0.], [0., 0., 1.]]) + Creating an array on a different device or with a specified usm_type + + >>> x = np.identity(3) # default case + >>> x, x.device, x.usm_type + (array([[1., 0., 0.], + [0., 1., 0.], + [0., 0., 1.]]), Device(level_zero:gpu:0), 'device') + + >>> y = np.identity(3, device="cpu") + >>> y, y.device, y.usm_type + (array([[1., 0., 0.], + [0., 1., 0.], + [0., 0., 1.]]), Device(opencl:cpu:0), 'device') + + >>> z = np.identity(3, usm_type="host") + >>> z, z.device, z.usm_type + (array([[1., 0., 0.], + [0., 1., 0.], + [0., 0., 1.]]), Device(level_zero:gpu:0), 'host') + """ - if not use_origin_backend(): - if like is not None: - pass - elif n < 0: - raise ValueError("negative dimensions are not allowed") - else: - _dtype = dpnp.default_float_type() if dtype is None else dtype - return dpnp.eye( - n, - dtype=_dtype, - device=device, - usm_type=usm_type, - sycl_queue=sycl_queue, - ) + + if like is not None: + pass + elif n < 0: + raise ValueError("negative dimensions are not allowed") + else: + _dtype = dpnp.default_float_type() if dtype is None else dtype + return dpnp.eye( + n, + dtype=_dtype, + device=device, + usm_type=usm_type, + sycl_queue=sycl_queue, + ) return call_origin(numpy.identity, n, dtype=dtype, like=like)
@@ -1399,6 +2026,39 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.linspace`. + Parameters + ---------- + start : array_like + The starting value of the sequence, in any form that can be converted to an array. + This includes scalars, lists, lists of tuples, tuples, tuples of tuples, + tuples of lists, and ndarrays. + stop : array_like + The end value of the sequence, in any form that can be converted to an array. + This includes scalars, lists, lists of tuples, tuples, tuples of tuples, + tuples of lists, and ndarrays. If `endpoint` is set to ``False`` the sequence consists + of all but the last of num + 1 evenly spaced samples, so that `stop` is excluded. + dtype : dtype, optional + The desired dtype for the array. If not given, a default dtype will be used that can represent + the values (by considering Promotion Type Rule and device capabilities when necessary.) + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + endpoint : bool, optional + If ``True``, `stop` is the last sample. Otherwise, it is not included. Default is ``True``. + retstep : bool, optional + If ``True``, return (samples, step), where step is the spacing between samples. + axis : int, optional + The axis in the result to store the samples. Relevant only if start or stop are array-like. + By default (0), the samples will be along a new axis inserted at the beginning. + Use -1 to get an axis at the end. + Returns ------- out : dpnp.ndarray @@ -1430,6 +2090,20 @@

Source code for dpnp.dpnp_iface_arraycreation

>>> np.linspace(2.0, 3.0, num=5, retstep=True) (array([2. , 2.25, 2.5 , 2.75, 3. ]), array(0.25)) + Creating an array on a different device or with a specified usm_type + + >>> x = np.linspace(2.0, 3.0, num=3) # default case + >>> x, x.device, x.usm_type + (array([2. , 2.5, 3. ]), Device(level_zero:gpu:0), 'device') + + >>> y = np.linspace(2.0, 3.0, num=3, device="cpu") + >>> y, y.device, y.usm_type + (array([2. , 2.5, 3. ]), Device(opencl:cpu:0), 'device') + + >>> z = np.linspace(2.0, 3.0, num=3, usm_type="host") + >>> z, z.device, z.usm_type + (array([2. , 2.5, 3. ]), Device(level_zero:gpu:0), 'host') + """ return dpnp_linspace( @@ -1497,6 +2171,47 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.logspace`. + Parameters + ---------- + start : array_like + Input data, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + `base` ** `start` is the starting value of the sequence. + stop : array_like + Input data, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + `base` ** `stop` is the final value of the sequence, unless `endpoint` is ``False``. + In that case, num + 1 values are spaced over the interval in log-space, + of which all but the last (a sequence of length num) are returned. + num : int, optional + Number of samples to generate. Default is 50. + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + endpoint : bool, optional + If ``True``, stop is the last sample. Otherwise, it is not included. Default is ``True``. + base : array_like, optional + Input data, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + The base of the log space, in any form that can be converted to an array.This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + The `step` size between the elements in ln(samples) / ln(base) (or log_base(samples)) + is uniform. Default is 10.0. + dtype : dtype, optional + The desired dtype for the array. If not given, a default dtype will be used that can represent + the values (by considering Promotion Type Rule and device capabilities when necessary.) + axis : int, optional + The axis in the result to store the samples. Relevant only if start, stop, + or base are array-like. By default (0), the samples will be along a new axis inserted + at the beginning. Use -1 to get an axis at the end. + Returns ------- out: dpnp.ndarray @@ -1529,6 +2244,20 @@

Source code for dpnp.dpnp_iface_arraycreation

array([[ 4. , 5.0396842 , 6.34960421, 8. ], [ 9. , 12.98024613, 18.72075441, 27. ]]) + Creating an array on a different device or with a specified usm_type + + >>> x = np.logspace(1.0, 3.0, num=3) # default case + >>> x, x.device, x.usm_type + (array([ 10., 100., 1000.]), Device(level_zero:gpu:0), 'device') + + >>> y = np.logspace(1.0, 3.0, num=3, device="cpu") + >>> y, y.device, y.usm_type + (array([ 10., 100., 1000.]), Device(opencl:cpu:0), 'device') + + >>> z = np.logspace(1.0, 3.0, num=3, usm_type="host") + >>> z, z.device, z.usm_type + (array([ 10., 100., 1000.]), Device(level_zero:gpu:0), 'host') + """ return dpnp_logspace( @@ -1657,7 +2386,7 @@

Source code for dpnp.dpnp_iface_arraycreation

an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by :obj:`dpnp.dpnp_array.dpnp_array.device` property. usm_type : {"device", "shared", "host"}, optional - The type of SYCL USM allocation for the output array. + The type of SYCL USM allocation for the output array. Default is "device". sycl_queue : {None, SyclQueue}, optional A SYCL queue to use for output array allocation and copying. @@ -1681,17 +2410,19 @@

Source code for dpnp.dpnp_iface_arraycreation

[0, 1, 2, 3, 4], [0, 1, 2, 3, 4]]]) - >>> x = np.mgrid[-1:1:5j] - >>> x - array([-1. , -0.5, 0. , 0.5, 1. ]) - >>> x.usm_type - 'device' + Creating an array on a different device or with a specified usm_type - >>> y = np.mgrid(usm_type="host")[-1:1:5j] - >>> y - array([-1. , -0.5, 0. , 0.5, 1. ]) - >>> x.usm_type - 'host' + >>> x = np.mgrid[-1:1:5j] # default case + >>> x, x.device, x.usm_type + (array([-1. , -0.5, 0. , 0.5, 1. ]), Device(level_zero:gpu:0), 'device') + + >>> y = np.mgrid(device="cpu")[-1:1:5j] + >>> y, y.device, y.usm_type + (array([-1. , -0.5, 0. , 0.5, 1. ]), Device(opencl:cpu:0), 'device') + + >>> z = np.mgrid(usm_type="host")[-1:1:5j] + >>> z, z.device, z.usm_type + (array([-1. , -0.5, 0. , 0.5, 1. ]), Device(level_zero:gpu:0), 'host') """ @@ -1725,7 +2456,7 @@

Source code for dpnp.dpnp_iface_arraycreation

an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by :obj:`dpnp.dpnp_array.dpnp_array.device` property. usm_type : {"device", "shared", "host"}, optional - The type of SYCL USM allocation for the output array. + The type of SYCL USM allocation for the output array. Default is "device". sycl_queue : {None, SyclQueue}, optional A SYCL queue to use for output array allocation and copying. @@ -1745,17 +2476,19 @@

Source code for dpnp.dpnp_iface_arraycreation

[3], [4]]), array([[0, 1, 2, 3, 4]])] - >>> x = np.ogrid[-1:1:5j] - >>> x - array([-1. , -0.5, 0. , 0.5, 1. ]) - >>> x.usm_type - 'device' + Creating an array on a different device or with a specified usm_type + + >>> x = np.ogrid[-1:1:5j] # default case + >>> x, x.device, x.usm_type + (array([-1. , -0.5, 0. , 0.5, 1. ]), Device(level_zero:gpu:0), 'device') - >>> y = np.ogrid(usm_type="host")[-1:1:5j] - >>> y - array([-1. , -0.5, 0. , 0.5, 1. ]) - >>> x.usm_type - 'host' + >>> y = np.ogrid(device="cpu")[-1:1:5j] + >>> y, y.device, y.usm_type + (array([-1. , -0.5, 0. , 0.5, 1. ]), Device(opencl:cpu:0), 'device') + + >>> z = np.ogrid(usm_type="host")[-1:1:5j] + >>> z, z.device, z.usm_type + (array([-1. , -0.5, 0. , 0.5, 1. ]), Device(level_zero:gpu:0), 'host') """ @@ -1788,6 +2521,31 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.ones`. + Parameters + ---------- + shape : {int, sequence of ints} + Shape of the new array, e.g., (2, 3) or 2. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + order : {"C", "F"}, optional + Memory layout of the newly output array. Default: "C". + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {"device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is "device". + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + + Returns + ------- + out : dpnp.ndarray + Array of ones with the given shape, dtype, and order. + Limitations ----------- Parameter `order` is supported only with values ``"C"`` and ``"F"``. @@ -1804,13 +2562,28 @@

Source code for dpnp.dpnp_iface_arraycreation

Examples -------- >>> import dpnp as np - >>> [i for i in np.ones(5)] - [1.0, 1.0, 1.0, 1.0, 1.0] + >>> np.ones(5) + array([1., 1., 1., 1., 1.]) >>> x = np.ones((2, 1)) >>> x.ndim, x.size, x.shape (2, 2, (2, 1)) - >>> [i for i in x] - [1.0, 1.0] + >>> x + array([[1.], + [1.]]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.ones(3) # default case + >>> x, x.device, x.usm_type + (array([1., 1., 1.]), Device(level_zero:gpu:0), 'device') + + >>> y = np.ones(3, device="cpu") + >>> y, y.device, y.usm_type + (array([1., 1., 1.]), Device(opencl:cpu:0), 'device') + + >>> z = np.ones(3, usm_type="host") + >>> z, z.device, z.usm_type + (array([1., 1., 1.]), Device(level_zero:gpu:0), 'host') """ @@ -1835,7 +2608,7 @@

Source code for dpnp.dpnp_iface_arraycreation

[docs] def ones_like( - x1, + a, /, *, dtype=None, @@ -1851,10 +2624,35 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.ones_like`. + Parameters + ---------- + a : {dpnp_array, usm_ndarray} + The shape and dtype of `a` define these same attributes of the returned array. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + order : {"C", "F"}, optional + Memory layout of the newly output array. Default: "C". + shape : {int, sequence of ints} + Overrides the shape of the result. + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + + Returns + ------- + out : dpnp.ndarray + Array of ones with the same shape and type as `a`. + Limitations ----------- - Parameter `x1` is supported as :class:`dpnp.dpnp.ndarray` or :class:`dpctl.tensor.usm_ndarray` - Parameter `order` is supported with values ``"C"`` or ``"F"``. Parameter `subok` is supported only with default value ``False``. Otherwise the function will be executed sequentially on CPU. @@ -1868,25 +2666,39 @@

Source code for dpnp.dpnp_iface_arraycreation

Examples -------- >>> import dpnp as np - >>> x = np.arange(6) - >>> [i for i in x] - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0] - >>> [i for i in np.ones_like(x)] - [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] + >>> x0 = np.arange(6) + >>> x0 + array([0, 1, 2, 3, 4, 5]) + >>> np.ones_like(x0) + array([1, 1, 1, 1, 1, 1]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.ones_like(x0) # default case + >>> x, x.device, x.usm_type + (array([1, 1, 1, 1, 1, 1]), Device(level_zero:gpu:0), 'device') + + >>> y = np.ones_like(x0, device="cpu") + >>> y, y.device, y.usm_type + (array([1, 1, 1, 1, 1, 1]), Device(opencl:cpu:0), 'device') + + >>> z = np.ones_like(x0, usm_type="host") + >>> z, z.device, z.usm_type + (array([1, 1, 1, 1, 1, 1]), Device(level_zero:gpu:0), 'host') """ - if not isinstance(x1, (dpnp.ndarray, dpt.usm_ndarray)): + if not isinstance(a, (dpnp.ndarray, dpt.usm_ndarray)): pass elif order not in ("C", "c", "F", "f", None): pass elif subok is not False: pass else: - _shape = x1.shape if shape is None else shape - _dtype = x1.dtype if dtype is None else dtype - _usm_type = x1.usm_type if usm_type is None else usm_type + _shape = a.shape if shape is None else shape + _dtype = a.dtype if dtype is None else dtype + _usm_type = a.usm_type if usm_type is None else usm_type _sycl_queue = dpnp.get_normalized_queue_device( - x1, sycl_queue=sycl_queue, device=device + a, sycl_queue=sycl_queue, device=device ) return dpnp_container.ones( _shape, @@ -1896,7 +2708,7 @@

Source code for dpnp.dpnp_iface_arraycreation

sycl_queue=_sycl_queue, ) - return call_origin(numpy.ones_like, x1, dtype, order, subok, shape)
+ return call_origin(numpy.ones_like, a, dtype, order, subok, shape)
@@ -1954,9 +2766,32 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.tri`. + Parameters + ---------- + N : int + Number of rows in the array. + M : int, optional + Number of columns in the array. By default, `M` is taken equal to `N`. + k : int, optional + The sub-diagonal at and below which the array is filled. k = 0 is the main diagonal, + while k < 0 is below it, and k > 0 is above. The default is 0. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {"device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is "device". + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- - out : ndarray of shape (N, M) + out : dpnp.ndarray of shape (N, M) Array with its lower triangle filled with ones and zeros elsewhere. Limitations @@ -1983,38 +2818,55 @@

Source code for dpnp.dpnp_iface_arraycreation

[1., 0., 0., 0., 0.], [1., 1., 0., 0., 0.]]) + Creating an array on a different device or with a specified usm_type + + >>> x = np.tri(3, 2) # default case + >>> x, x.device, x.usm_type + (array([[1., 0.], + [1., 1.], + [1., 1.]]), Device(level_zero:gpu:0), 'device') + + >>> y = np.tri(3, 2, device="cpu") + >>> y, y.device, y.usm_type + (array([[1., 0.], + [1., 1.], + [1., 1.]]), Device(opencl:cpu:0), 'device') + + >>> z = np.tri(3, 2, usm_type="host") + >>> z, z.device, z.usm_type + (array([[1., 0.], + [1., 1.], + [1., 1.]]), Device(level_zero:gpu:0), 'host') + """ - if not use_origin_backend(): - if len(kwargs) != 0: - pass - elif not isinstance(N, int): - pass - elif N < 0: - pass - elif M is not None and not isinstance(M, int): - pass - elif M is not None and M < 0: - pass - elif not isinstance(k, int): - pass - else: - _dtype = ( - dpnp.default_float_type() - if dtype in (dpnp.float, None) - else dtype - ) - if M is None: - M = N - - m = dpnp.ones( - (N, M), - dtype=_dtype, - device=device, - usm_type=usm_type, - sycl_queue=sycl_queue, - ) - return dpnp.tril(m, k=k) + if len(kwargs) != 0: + pass + elif not isinstance(N, int): + pass + elif N < 0: + pass + elif M is not None and not isinstance(M, int): + pass + elif M is not None and M < 0: + pass + elif not isinstance(k, int): + pass + else: + _dtype = ( + dpnp.default_float_type() if dtype in (dpnp.float, None) else dtype + ) + if M is None: + M = N + + m = dpnp.ones( + (N, M), + dtype=_dtype, + device=device, + usm_type=usm_type, + sycl_queue=sycl_queue, + ) + return dpnp.tril(m, k=k) return call_origin(numpy.tri, N, M, k, dtype, **kwargs)
@@ -2022,7 +2874,7 @@

Source code for dpnp.dpnp_iface_arraycreation

[docs] -def tril(x1, /, *, k=0): +def tril(m, /, *, k=0): """ Lower triangle of an array. @@ -2030,16 +2882,29 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.tril`. + Parameters + ---------- + m : {dpnp_array, usm_ndarray}, shape (…, M, N) + Input array. + k : int, optional + Diagonal above which to zero elements. k = 0 (the default) is the main diagonal, + k < 0 is below it and k > 0 is above. + + Returns + ------- + out : dpnp.ndarray of shape (N, M) + Lower triangle of `m`, of same shape and dtype as `m`. + Limitations ----------- - Parameter `x1` is supported as :class:`dpnp.dpnp.ndarray` or :class:`dpctl.tensor.usm_ndarray` with two or more dimensions. Parameter `k` is supported only of integer data type. Otherwise the function will be executed sequentially on CPU. Examples -------- >>> import dpnp as np - >>> np.tril([[1,2,3],[4,5,6],[7,8,9],[10,11,12]], -1) + >>> m = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]) + >>> np.tril(m, k=-1) array([[ 0, 0, 0], [ 4, 0, 0], [ 7, 8, 0], @@ -2053,22 +2918,22 @@

Source code for dpnp.dpnp_iface_arraycreation

except TypeError: pass - if not isinstance(x1, (dpnp.ndarray, dpt.usm_ndarray)): + if not isinstance(m, (dpnp.ndarray, dpt.usm_ndarray)): pass - elif x1.ndim < 2: + elif m.ndim < 2: pass elif _k is None: pass else: - return dpnp_container.tril(x1, k=_k) + return dpnp_container.tril(m, k=_k) - return call_origin(numpy.tril, x1, k)
+ return call_origin(numpy.tril, m, k)
[docs] -def triu(x1, /, *, k=0): +def triu(m, /, *, k=0): """ Upper triangle of an array. @@ -2077,16 +2942,29 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.triu`. + Parameters + ---------- + m : {dpnp_array, usm_ndarray}, shape (…, M, N) + Input array. + k : int, optional + Diagonal below which to zero elements. k = 0 (the default) is the main diagonal, + k < 0 is below it and k > 0 is above. + + Returns + ------- + out : dpnp.ndarray of shape (N, M) + Upper triangle of `m`, of same shape and dtype as `m`. + Limitations ----------- - Parameter `x1` is supported as :class:`dpnp.dpnp.ndarray` or :class:`dpctl.tensor.usm_ndarray` with two or more dimensions. Parameter `k` is supported only of integer data type. Otherwise the function will be executed sequentially on CPU. Examples -------- >>> import dpnp as np - >>> np.triu([[1,2,3],[4,5,6],[7,8,9],[10,11,12]], -1) + >>> m = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]) + >>> np.triu(m, k=-1) array([[ 1, 2, 3], [ 4, 5, 6], [ 0, 8, 9], @@ -2100,23 +2978,23 @@

Source code for dpnp.dpnp_iface_arraycreation

except TypeError: pass - if not isinstance(x1, (dpnp.ndarray, dpt.usm_ndarray)): + if not isinstance(m, (dpnp.ndarray, dpt.usm_ndarray)): pass - elif x1.ndim < 2: + elif m.ndim < 2: pass elif _k is None: pass else: - return dpnp_container.triu(x1, k=_k) + return dpnp_container.triu(m, k=_k) - return call_origin(numpy.triu, x1, k)
+ return call_origin(numpy.triu, m, k)
[docs] def vander( - x1, + x, /, N=None, increasing=False, @@ -2130,6 +3008,27 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.vander`. + Parameters + ---------- + x : array_like + 1-D input array, in any form that can be converted to an array. This includes scalars, + lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. + N : int, optional + Number of columns in the output. If `N` is not specified, a square array is returned (N = len(x)). + increasing : bool, optional + Order of the powers of the columns. If ``True,`` the powers increase from left to right, + if ``False`` (the default) they are reversed. + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + Returns ------- out : dpnp.ndarray @@ -2143,51 +3042,71 @@

Source code for dpnp.dpnp_iface_arraycreation

Examples -------- >>> import dpnp as np - >>> x = np.array([1, 2, 3, 5]) + >>> x0 = np.array([1, 2, 3, 5]) >>> N = 3 - >>> np.vander(x, N) + >>> np.vander(x0, N) array([[ 1, 1, 1], [ 4, 2, 1], [ 9, 3, 1], [25, 5, 1]]) - >>> x = np.array([1, 2, 3, 5]) - >>> np.vander(x) + >>> np.vander(x0) array([[ 1, 1, 1, 1], [ 8, 4, 2, 1], [ 27, 9, 3, 1], [125, 25, 5, 1]]) - >>> np.vander(x, increasing=True) + >>> np.vander(x0, increasing=True) array([[ 1, 1, 1, 1], [ 1, 2, 4, 8], [ 1, 3, 9, 27], [ 1, 5, 25, 125]]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.vander(x0) # default case + >>> x, x.device, x.usm_type + (array([[ 1, 1, 1, 1], + [ 8, 4, 2, 1], + [ 27, 9, 3, 1], + [125, 25, 5, 1]]), Device(level_zero:gpu:0), 'device') + + >>> y = np.vander(x0, device="cpu") + >>> y, y.device, y.usm_type + (array([[ 1, 1, 1, 1], + [ 8, 4, 2, 1], + [ 27, 9, 3, 1], + [125, 25, 5, 1]]), Device(opencl:cpu:0), 'device') + + >>> z = np.vander(x0, usm_type="host") + >>> z, z.device, z.usm_type + (array([[ 1, 1, 1, 1], + [ 8, 4, 2, 1], + [ 27, 9, 3, 1], + [125, 25, 5, 1]]), Device(level_zero:gpu:0), 'host') """ - x1 = dpnp.asarray( - x1, device=device, usm_type=usm_type, sycl_queue=sycl_queue - ) + x = dpnp.asarray(x, device=device, usm_type=usm_type, sycl_queue=sycl_queue) if N is not None and not isinstance(N, int): raise TypeError("An integer is required, but got {}".format(type(N))) - elif x1.ndim != 1: - raise ValueError("x1 must be a one-dimensional array or sequence.") + elif x.ndim != 1: + raise ValueError("`x` must be a one-dimensional array or sequence.") else: if N is None: - N = x1.size + N = x.size - _dtype = int if x1.dtype == bool else x1.dtype + _dtype = int if x.dtype == bool else x.dtype m = empty( - (x1.size, N), + (x.size, N), dtype=_dtype, - usm_type=x1.usm_type, - sycl_queue=x1.sycl_queue, + usm_type=x.usm_type, + sycl_queue=x.sycl_queue, ) tmp = m[:, ::-1] if not increasing else m dpnp.power( - x1.reshape(-1, 1), - dpnp.arange(N, dtype=_dtype, sycl_queue=x1.sycl_queue), + x.reshape(-1, 1), + dpnp.arange(N, dtype=_dtype, sycl_queue=x.sycl_queue), out=tmp, ) @@ -2212,6 +3131,31 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.zeros`. + Parameters + ---------- + shape : {int, sequence of ints} + Shape of the new array, e.g., (2, 3) or 2. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + order : {"C", "F"}, optional + Memory layout of the newly output array. Default: "C". + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {"device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is "device". + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + + Returns + ------- + out : dpnp.ndarray + Array of zeros with the given shape, dtype, and order. + Limitations ----------- Parameter `order` is supported only with values ``"C"`` and ``"F"``. @@ -2228,13 +3172,28 @@

Source code for dpnp.dpnp_iface_arraycreation

Examples -------- >>> import dpnp as np - >>> [i for i in np.zeros(5)] - [0.0, 0.0, 0.0, 0.0, 0.0] + >>> np.zeros(5) + array([0., 0., 0., 0., 0.]) >>> x = np.zeros((2, 1)) >>> x.ndim, x.size, x.shape (2, 2, (2, 1)) - >>> [i for i in x] - [0.0, 0.0] + >>> x + array([[0.], + [0.]]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.zeros(3) # default case + >>> x, x.device, x.usm_type + (array([0., 0., 0.]), Device(level_zero:gpu:0), 'device') + + >>> y = np.zeros(3, device="cpu") + >>> y, y.device, y.usm_type + (array([0., 0., 0.]), Device(opencl:cpu:0), 'device') + + >>> z = np.zeros(3, usm_type="host") + >>> z, z.device, z.usm_type + (array([0., 0., 0.]), Device(level_zero:gpu:0), 'host') """ if like is not None: @@ -2258,7 +3217,7 @@

Source code for dpnp.dpnp_iface_arraycreation

[docs] def zeros_like( - x1, + a, /, *, dtype=None, @@ -2274,10 +3233,35 @@

Source code for dpnp.dpnp_iface_arraycreation

For full documentation refer to :obj:`numpy.zeros_like`. + Parameters + ---------- + a : {dpnp_array, usm_ndarray} + The shape and dtype of `a` define these same attributes of the returned array. + dtype : dtype, optional + The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point + data type for the device where input array is allocated. + order : {"C", "F"}, optional + Memory layout of the newly output array. Default: "C". + shape : {int, sequence of ints} + Overrides the shape of the result. + device : {None, string, SyclDevice, SyclQueue}, optional + An array API concept of device where the output array is created. + The `device` can be ``None`` (the default), an OneAPI filter selector string, + an instance of :class:`dpctl.SyclDevice` corresponding to a non-partitioned SYCL device, + an instance of :class:`dpctl.SyclQueue`, or a `Device` object returned by + :obj:`dpnp.dpnp_array.dpnp_array.device` property. + usm_type : {None, "device", "shared", "host"}, optional + The type of SYCL USM allocation for the output array. Default is ``None``. + sycl_queue : {None, SyclQueue}, optional + A SYCL queue to use for output array allocation and copying. + + Returns + ------- + out : dpnp.ndarray + Array of zeros with the same shape and type as `a`. + Limitations ----------- - Parameter `x1` is supported as :class:`dpnp.dpnp.ndarray` or :class:`dpctl.tensor.usm_ndarray` - Parameter `order` is supported with values ``"C"`` or ``"F"``. Parameter `subok` is supported only with default value ``False``. Otherwise the function will be executed sequentially on CPU. @@ -2291,25 +3275,39 @@

Source code for dpnp.dpnp_iface_arraycreation

Examples -------- >>> import dpnp as np - >>> x = np.arange(6) - >>> [i for i in x] - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0] - >>> [i for i in np.zeros_like(x)] - [0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + >>> x0 = np.arange(6) + >>> x0 + array([0, 1, 2, 3, 4, 5]) + >>> np.zeros_like(x0) + array([0, 0, 0, 0, 0, 0]) + + Creating an array on a different device or with a specified usm_type + + >>> x = np.zeros_like(x0) # default case + >>> x, x.device, x.usm_type + (array([0, 0, 0, 0, 0, 0]), Device(level_zero:gpu:0), 'device') + + >>> y = np.zeros_like(x0, device="cpu") + >>> y, y.device, y.usm_type + (array([0, 0, 0, 0, 0, 0]), Device(opencl:cpu:0), 'device') + + >>> z = np.zeros_like(x0, usm_type="host") + >>> z, z.device, z.usm_type + (array([0, 0, 0, 0, 0, 0]), Device(level_zero:gpu:0), 'host') """ - if not isinstance(x1, (dpnp.ndarray, dpt.usm_ndarray)): + if not isinstance(a, (dpnp.ndarray, dpt.usm_ndarray)): pass elif order not in ("C", "c", "F", "f", None): pass elif subok is not False: pass else: - _shape = x1.shape if shape is None else shape - _dtype = x1.dtype if dtype is None else dtype - _usm_type = x1.usm_type if usm_type is None else usm_type + _shape = a.shape if shape is None else shape + _dtype = a.dtype if dtype is None else dtype + _usm_type = a.usm_type if usm_type is None else usm_type _sycl_queue = dpnp.get_normalized_queue_device( - x1, sycl_queue=sycl_queue, device=device + a, sycl_queue=sycl_queue, device=device ) return dpnp_container.zeros( _shape, @@ -2319,7 +3317,7 @@

Source code for dpnp.dpnp_iface_arraycreation

sycl_queue=_sycl_queue, ) - return call_origin(numpy.zeros_like, x1, dtype, order, subok, shape)
+ return call_origin(numpy.zeros_like, a, dtype, order, subok, shape)
diff --git a/_modules/dpnp/dpnp_iface_bitwise.html b/_modules/dpnp/dpnp_iface_bitwise.html index adb2bf64a65..83ca290dd21 100644 --- a/_modules/dpnp/dpnp_iface_bitwise.html +++ b/_modules/dpnp/dpnp_iface_bitwise.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_bitwise — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_bitwise — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_counting.html b/_modules/dpnp/dpnp_iface_counting.html index b9ec17bbcac..25daa18fb7e 100644 --- a/_modules/dpnp/dpnp_iface_counting.html +++ b/_modules/dpnp/dpnp_iface_counting.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_counting — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_counting — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_indexing.html b/_modules/dpnp/dpnp_iface_indexing.html index fad720e1f6e..f89a484ed8a 100644 --- a/_modules/dpnp/dpnp_iface_indexing.html +++ b/_modules/dpnp/dpnp_iface_indexing.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_indexing — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_indexing — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_libmath.html b/_modules/dpnp/dpnp_iface_libmath.html index f5c696279cc..606acccc9f2 100644 --- a/_modules/dpnp/dpnp_iface_libmath.html +++ b/_modules/dpnp/dpnp_iface_libmath.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_libmath — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_libmath — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_linearalgebra.html b/_modules/dpnp/dpnp_iface_linearalgebra.html index 307c5c10c07..2e27998566a 100644 --- a/_modules/dpnp/dpnp_iface_linearalgebra.html +++ b/_modules/dpnp/dpnp_iface_linearalgebra.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_linearalgebra — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_linearalgebra — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -128,13 +128,12 @@

Source code for dpnp.dpnp_iface_linearalgebra

""" -import dpctl.tensor as dpt import numpy import dpnp from dpnp.dpnp_algo import * from dpnp.dpnp_utils import * -from dpnp.dpnp_utils.dpnp_utils_linearalgebra import dpnp_matmul +from dpnp.dpnp_utils.dpnp_utils_linearalgebra import dpnp_dot, dpnp_matmul __all__ = [ "dot", @@ -151,87 +150,99 @@

Source code for dpnp.dpnp_iface_linearalgebra

[docs] -def dot(x1, x2, out=None, **kwargs): +def dot(a, b, out=None): """ - Dot product of `x1` and `x2`. + Dot product of `a` and `b`. For full documentation refer to :obj:`numpy.dot`. + Parameters + ---------- + a : {dpnp_array, usm_ndarray, scalar} + First input array. Both inputs `a` and `b` can not be scalars at the same time. + b : {dpnp_array, usm_ndarray, scalar} + Second input array. Both inputs `a` and `b` can not be scalars at the same time. + out : {dpnp.ndarray, usm_ndarray}, optional + Alternative output array in which to place the result. It must have + the same shape and data type as the expected output and should be + C-contiguous. If these conditions are not met, an exception is + raised, instead of attempting to be flexible. + Returns ------- - y : dpnp.ndarray - Returns the dot product of `x1` and `x2`. + out : dpnp.ndarray + Returns the dot product of `a` and `b`. If `out` is given, then it is returned. - Limitations - ----------- - Parameters `x1` and `x2` are supported as either scalar, :class:`dpnp.ndarray` - or :class:`dpctl.tensor.usm_ndarray`, but both `x1` and `x2` can not be scalars at the same time. - Keyword argument ``kwargs`` is currently unsupported. - Otherwise the functions will be executed sequentially on CPU. - Input array data types are limited by supported DPNP :ref:`Data types`. - See Also -------- + :obj:`dpnp.ndarray.dot` : Equivalent method. :obj:`dpnp.tensordot` : Sum products over arbitrary axes. :obj:`dpnp.vdot` : Complex-conjugating dot product. + :obj:`dpnp.einsum` : Einstein summation convention. + :obj:`dpnp.matmul` : Matrix product of two arrays. + :obj:`dpnp.linalg.multi_dot` : Chained dot product. Examples -------- - >>> import dpnp as dp - >>> a = dp.array([1, 2, 3]) - >>> b = dp.array([1, 2, 3]) - >>> dp.dot(a, b) - 14 + >>> import dpnp as np + >>> a = np.array([1, 2, 3]) + >>> b = np.array([1, 2, 3]) + >>> np.dot(a, b) + array(14) + + Neither argument is complex-conjugated: + + >>> np.dot(np.array([2j, 3j]), np.array([2j, 3j])) + array(-13+0j) + + For 2-D arrays it is the matrix product: + + >>> a = np.array([[1, 0], [0, 1]]) + >>> b = np.array([[4, 1], [2, 2]]) + >>> np.dot(a, b) + array([[4, 1], + [2, 2]]) + + >>> a = np.arange(3*4*5*6).reshape((3,4,5,6)) + >>> b = np.arange(3*4*5*6)[::-1].reshape((5,4,6,3)) + >>> np.dot(a, b)[2,3,2,1,2,2] + array(499128) + >>> sum(a[2,3,2,:] * b[1,2,:,2]) + array(499128) """ - if kwargs: - pass - elif dpnp.isscalar(x1) and dpnp.isscalar(x2): - # at least either x1 or x2 has to be an array - pass + dpnp.check_supported_arrays_type(a, scalar_type=True) + dpnp.check_supported_arrays_type(b, scalar_type=True) + + if out is not None: + dpnp.check_supported_arrays_type(out) + if not out.flags.c_contiguous: + raise ValueError("Only C-contiguous array is acceptable.") + + if dpnp.isscalar(a) or dpnp.isscalar(b): + # TODO: investigate usage of axpy (axpy_batch) or scal + # functions from BLAS here instead of dpnp.multiply + return dpnp.multiply(a, b, out=out) + elif a.ndim == 0 or b.ndim == 0: + # TODO: investigate usage of axpy (axpy_batch) or scal + # functions from BLAS here instead of dpnp.multiply + return dpnp.multiply(a, b, out=out) + elif a.ndim == 1 and b.ndim == 1: + return dpnp_dot(a, b, out=out) + elif a.ndim == 2 and b.ndim == 2: + # NumPy does not allow casting even if it is safe + return dpnp.matmul(a, b, out=out, casting="no") + elif a.ndim == 1 or b.ndim == 1: + # NumPy does not allow casting even if it is safe + return dpnp.matmul(a, b, out=out, casting="no") else: - # get USM type and queue to copy scalar from the host memory into a USM allocation - usm_type, queue = ( - get_usm_allocations([x1, x2]) - if dpnp.isscalar(x1) or dpnp.isscalar(x2) - else (None, None) - ) - - x1_desc = dpnp.get_dpnp_descriptor( - x1, - copy_when_strides=False, - copy_when_nondefault_queue=False, - alloc_usm_type=usm_type, - alloc_queue=queue, - ) - x2_desc = dpnp.get_dpnp_descriptor( - x2, - copy_when_strides=False, - copy_when_nondefault_queue=False, - alloc_usm_type=usm_type, - alloc_queue=queue, - ) - if x1_desc and x2_desc: - if out is not None: - if not isinstance(out, (dpnp.ndarray, dpt.usm_ndarray)): - raise TypeError( - "return array must be of supported array type" - ) - out_desc = ( - dpnp.get_dpnp_descriptor( - out, - copy_when_strides=False, - copy_when_nondefault_queue=False, - ) - or None - ) - else: - out_desc = None - return dpnp_dot(x1_desc, x2_desc, out=out_desc).get_pyobj() - - return call_origin(numpy.dot, x1, x2, out=out, **kwargs)
+ # TODO: investigate usage of matmul for some possible + # use cases instead of dpnp.tensordot + result = dpnp.tensordot(a, b, axes=(-1, -2)) + # NumPy does not allow casting even if it is safe + return dpnp.get_result_array(result, out, casting="no")
diff --git a/_modules/dpnp/dpnp_iface_logic.html b/_modules/dpnp/dpnp_iface_logic.html index b72898f294f..010a20ac56c 100644 --- a/_modules/dpnp/dpnp_iface_logic.html +++ b/_modules/dpnp/dpnp_iface_logic.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_logic — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_logic — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_manipulation.html b/_modules/dpnp/dpnp_iface_manipulation.html index d16b04c27cc..675cdfdf28d 100644 --- a/_modules/dpnp/dpnp_iface_manipulation.html +++ b/_modules/dpnp/dpnp_iface_manipulation.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_manipulation — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_manipulation — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_mathematical.html b/_modules/dpnp/dpnp_iface_mathematical.html index c7a002c0d57..2299a6ffe15 100644 --- a/_modules/dpnp/dpnp_iface_mathematical.html +++ b/_modules/dpnp/dpnp_iface_mathematical.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_mathematical — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_mathematical — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_nanfunctions.html b/_modules/dpnp/dpnp_iface_nanfunctions.html index 1b2d85227a0..2074c250557 100644 --- a/_modules/dpnp/dpnp_iface_nanfunctions.html +++ b/_modules/dpnp/dpnp_iface_nanfunctions.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_nanfunctions — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_nanfunctions — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_searching.html b/_modules/dpnp/dpnp_iface_searching.html index 587b4622428..ad3cea7cc9e 100644 --- a/_modules/dpnp/dpnp_iface_searching.html +++ b/_modules/dpnp/dpnp_iface_searching.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_searching — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_searching — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_sorting.html b/_modules/dpnp/dpnp_iface_sorting.html index 55843d0d988..4a836d9c792 100644 --- a/_modules/dpnp/dpnp_iface_sorting.html +++ b/_modules/dpnp/dpnp_iface_sorting.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_sorting — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_sorting — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_statistics.html b/_modules/dpnp/dpnp_iface_statistics.html index c22493a2c2a..e8ac7a58ded 100644 --- a/_modules/dpnp/dpnp_iface_statistics.html +++ b/_modules/dpnp/dpnp_iface_statistics.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_statistics — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_statistics — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_trigonometric.html b/_modules/dpnp/dpnp_iface_trigonometric.html index 6828a43ae7c..585df5cbacf 100644 --- a/_modules/dpnp/dpnp_iface_trigonometric.html +++ b/_modules/dpnp/dpnp_iface_trigonometric.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_trigonometric — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_trigonometric — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/dpnp_iface_types.html b/_modules/dpnp/dpnp_iface_types.html index 8a2cedea546..8df5fc28122 100644 --- a/_modules/dpnp/dpnp_iface_types.html +++ b/_modules/dpnp/dpnp_iface_types.html @@ -12,7 +12,7 @@ - dpnp.dpnp_iface_types — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.dpnp_iface_types — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/fft/dpnp_iface_fft.html b/_modules/dpnp/fft/dpnp_iface_fft.html index 25a2e9a0384..e027c7e2eca 100644 --- a/_modules/dpnp/fft/dpnp_iface_fft.html +++ b/_modules/dpnp/fft/dpnp_iface_fft.html @@ -12,7 +12,7 @@ - dpnp.fft.dpnp_iface_fft — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.dpnp_iface_fft — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/linalg/dpnp_iface_linalg.html b/_modules/dpnp/linalg/dpnp_iface_linalg.html index beeeb84d7a9..65f8d1ef13f 100644 --- a/_modules/dpnp/linalg/dpnp_iface_linalg.html +++ b/_modules/dpnp/linalg/dpnp_iface_linalg.html @@ -12,7 +12,7 @@ - dpnp.linalg.dpnp_iface_linalg — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.dpnp_iface_linalg — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/random/dpnp_iface_random.html b/_modules/dpnp/random/dpnp_iface_random.html index 89f702bb840..f3279939c32 100644 --- a/_modules/dpnp/random/dpnp_iface_random.html +++ b/_modules/dpnp/random/dpnp_iface_random.html @@ -12,7 +12,7 @@ - dpnp.random.dpnp_iface_random — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.random.dpnp_iface_random — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/dpnp/random/dpnp_random_state.html b/_modules/dpnp/random/dpnp_random_state.html index 78d543fd182..4342659ed00 100644 --- a/_modules/dpnp/random/dpnp_random_state.html +++ b/_modules/dpnp/random/dpnp_random_state.html @@ -12,7 +12,7 @@ - dpnp.random.dpnp_random_state — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.random.dpnp_random_state — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_modules/index.html b/_modules/index.html index 0dde1607c26..4090756360a 100644 --- a/_modules/index.html +++ b/_modules/index.html @@ -12,7 +12,7 @@ - Overview: module code — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Overview: module code — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/_static/documentation_options.js b/_static/documentation_options.js index 5cacbe50610..9ba690ec3ff 100644 --- a/_static/documentation_options.js +++ b/_static/documentation_options.js @@ -1,5 +1,5 @@ const DOCUMENTATION_OPTIONS = { - VERSION: '0.11.1+454.ge7f7a7cb', + VERSION: '0.11.1+457.gac1fca74', LANGUAGE: 'en', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/backend_doc/annotated.html b/backend_doc/annotated.html index 57ebf02f959..67112595d6c 100644 --- a/backend_doc/annotated.html +++ b/backend_doc/annotated.html @@ -100,8 +100,10 @@  ▼Next  ►Nblas  ►Ntypes - CGemmBatchTypePairSupportFactoryA factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::gemm_batch<Tab, Tc> function - CGemmTypePairSupportFactoryA factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::gemm<Tab, Tc> function + CDotTypePairSupportFactoryA factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::dot<Tab, Tc> function + CDotuTypePairSupportFactoryA factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::dotu<Tab, Tc> function + CGemmBatchTypePairSupportFactoryA factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::gemm_batch<Tab, Tc> function + CGemmTypePairSupportFactoryA factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::gemm<Tab, Tc> function  ►Nlapack  ►Nhelper  Cvalue_type_of diff --git a/backend_doc/annotated_dup.js b/backend_doc/annotated_dup.js index a407591b11e..e08fa58a9cd 100644 --- a/backend_doc/annotated_dup.js +++ b/backend_doc/annotated_dup.js @@ -5,6 +5,8 @@ var annotated_dup = [ "ext", null, [ [ "blas", null, [ [ "types", null, [ + [ "DotTypePairSupportFactory", "structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dot_type_pair_support_factory.html", null ], + [ "DotuTypePairSupportFactory", "structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dotu_type_pair_support_factory.html", null ], [ "GemmBatchTypePairSupportFactory", "structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_gemm_batch_type_pair_support_factory.html", null ], [ "GemmTypePairSupportFactory", "structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_gemm_type_pair_support_factory.html", null ] ] ] diff --git a/backend_doc/blas_2types__matrix_8hpp_source.html b/backend_doc/blas_2types__matrix_8hpp_source.html index e1377d88102..7290a23c9e7 100644 --- a/backend_doc/blas_2types__matrix_8hpp_source.html +++ b/backend_doc/blas_2types__matrix_8hpp_source.html @@ -99,7 +99,7 @@
1//*****************************************************************************
-
2// Copyright (c) 2023, Intel Corporation
+
2// Copyright (c) 2024, Intel Corporation
3// All rights reserved.
4//
5// Redistribution and use in source and binary forms, with or without
@@ -145,58 +145,91 @@
45{
54template <typename Tab, typename Tc>
-
55struct GemmTypePairSupportFactory
+
55struct DotTypePairSupportFactory
56{
57 static constexpr bool is_defined = std::disjunction<
-
58 dpctl_td_ns::TypePairDefinedEntry<Tab, std::int8_t, Tc, std::int32_t>,
-
59 dpctl_td_ns::TypePairDefinedEntry<Tab, std::int8_t, Tc, float>,
-
60 dpctl_td_ns::TypePairDefinedEntry<Tab, sycl::half, Tc, float>,
-
61 dpctl_td_ns::TypePairDefinedEntry<Tab, sycl::half, Tc, sycl::half>,
-
62 dpctl_td_ns::TypePairDefinedEntry<Tab, float, Tc, float>,
-
63 dpctl_td_ns::TypePairDefinedEntry<Tab, double, Tc, double>,
-
64 dpctl_td_ns::TypePairDefinedEntry<Tab,
-
65 std::complex<float>,
-
66 Tc,
-
67 std::complex<float>>,
-
68 dpctl_td_ns::TypePairDefinedEntry<Tab,
-
69 std::complex<double>,
-
70 Tc,
-
71 std::complex<double>>,
-
72 // fall-through
-
73 dpctl_td_ns::NotDefinedEntry>::is_defined;
-
74};
+
58 dpctl_td_ns::TypePairDefinedEntry<Tab, float, Tc, float>,
+
59 dpctl_td_ns::TypePairDefinedEntry<Tab, float, Tc, double>,
+
60 dpctl_td_ns::TypePairDefinedEntry<Tab, double, Tc, double>,
+
61 // fall-through
+
62 dpctl_td_ns::NotDefinedEntry>::is_defined;
+
63};
-
75
-
84template <typename Tab, typename Tc>
-
-
85struct GemmBatchTypePairSupportFactory
-
86{
-
87 static constexpr bool is_defined = std::disjunction<
-
88 dpctl_td_ns::TypePairDefinedEntry<Tab, std::int8_t, Tc, std::int32_t>,
-
89 dpctl_td_ns::TypePairDefinedEntry<Tab, std::int8_t, Tc, float>,
-
90 dpctl_td_ns::TypePairDefinedEntry<Tab, sycl::half, Tc, float>,
-
91 dpctl_td_ns::TypePairDefinedEntry<Tab, sycl::half, Tc, sycl::half>,
-
92 dpctl_td_ns::TypePairDefinedEntry<Tab, float, Tc, float>,
-
93 dpctl_td_ns::TypePairDefinedEntry<Tab, double, Tc, double>,
-
94 dpctl_td_ns::TypePairDefinedEntry<Tab,
-
95 std::complex<float>,
-
96 Tc,
-
97 std::complex<float>>,
-
98 dpctl_td_ns::TypePairDefinedEntry<Tab,
-
99 std::complex<double>,
-
100 Tc,
-
101 std::complex<double>>,
-
102 // fall-through
-
103 dpctl_td_ns::NotDefinedEntry>::is_defined;
-
104};
+
64
+
73template <typename Tab, typename Tc>
+
+
74struct DotuTypePairSupportFactory
+
75{
+
76 static constexpr bool is_defined = std::disjunction<
+
77 dpctl_td_ns::TypePairDefinedEntry<Tab,
+
78 std::complex<float>,
+
79 Tc,
+
80 std::complex<float>>,
+
81 dpctl_td_ns::TypePairDefinedEntry<Tab,
+
82 std::complex<double>,
+
83 Tc,
+
84 std::complex<double>>,
+
85 // fall-through
+
86 dpctl_td_ns::NotDefinedEntry>::is_defined;
+
87};
-
105} // namespace types
-
106} // namespace blas
-
107} // namespace ext
-
108} // namespace backend
-
109} // namespace dpnp
-
dpnp::backend::ext::blas::types::GemmBatchTypePairSupportFactory
A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::m...
Definition types_matrix.hpp:86
-
dpnp::backend::ext::blas::types::GemmTypePairSupportFactory
A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::m...
Definition types_matrix.hpp:56
+
88
+
97template <typename Tab, typename Tc>
+
+
98struct GemmTypePairSupportFactory
+
99{
+
100 static constexpr bool is_defined = std::disjunction<
+
101 dpctl_td_ns::TypePairDefinedEntry<Tab, std::int8_t, Tc, std::int32_t>,
+
102 dpctl_td_ns::TypePairDefinedEntry<Tab, std::int8_t, Tc, float>,
+
103 dpctl_td_ns::TypePairDefinedEntry<Tab, sycl::half, Tc, float>,
+
104 dpctl_td_ns::TypePairDefinedEntry<Tab, sycl::half, Tc, sycl::half>,
+
105 dpctl_td_ns::TypePairDefinedEntry<Tab, float, Tc, float>,
+
106 dpctl_td_ns::TypePairDefinedEntry<Tab, double, Tc, double>,
+
107 dpctl_td_ns::TypePairDefinedEntry<Tab,
+
108 std::complex<float>,
+
109 Tc,
+
110 std::complex<float>>,
+
111 dpctl_td_ns::TypePairDefinedEntry<Tab,
+
112 std::complex<double>,
+
113 Tc,
+
114 std::complex<double>>,
+
115 // fall-through
+
116 dpctl_td_ns::NotDefinedEntry>::is_defined;
+
117};
+
+
118
+
127template <typename Tab, typename Tc>
+
+
128struct GemmBatchTypePairSupportFactory
+
129{
+
130 static constexpr bool is_defined = std::disjunction<
+
131 dpctl_td_ns::TypePairDefinedEntry<Tab, std::int8_t, Tc, std::int32_t>,
+
132 dpctl_td_ns::TypePairDefinedEntry<Tab, std::int8_t, Tc, float>,
+
133 dpctl_td_ns::TypePairDefinedEntry<Tab, sycl::half, Tc, float>,
+
134 dpctl_td_ns::TypePairDefinedEntry<Tab, sycl::half, Tc, sycl::half>,
+
135 dpctl_td_ns::TypePairDefinedEntry<Tab, float, Tc, float>,
+
136 dpctl_td_ns::TypePairDefinedEntry<Tab, double, Tc, double>,
+
137 dpctl_td_ns::TypePairDefinedEntry<Tab,
+
138 std::complex<float>,
+
139 Tc,
+
140 std::complex<float>>,
+
141 dpctl_td_ns::TypePairDefinedEntry<Tab,
+
142 std::complex<double>,
+
143 Tc,
+
144 std::complex<double>>,
+
145 // fall-through
+
146 dpctl_td_ns::NotDefinedEntry>::is_defined;
+
147};
+
+
148} // namespace types
+
149} // namespace blas
+
150} // namespace ext
+
151} // namespace backend
+
152} // namespace dpnp
+
dpnp::backend::ext::blas::types::DotTypePairSupportFactory
A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::m...
Definition types_matrix.hpp:56
+
dpnp::backend::ext::blas::types::DotuTypePairSupportFactory
A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::m...
Definition types_matrix.hpp:75
+
dpnp::backend::ext::blas::types::GemmBatchTypePairSupportFactory
A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::m...
Definition types_matrix.hpp:129
+
dpnp::backend::ext::blas::types::GemmTypePairSupportFactory
A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::m...
Definition types_matrix.hpp:99
diff --git a/backend_doc/classes.html b/backend_doc/classes.html index 3111983e8f7..2347456945a 100644 --- a/backend_doc/classes.html +++ b/backend_doc/classes.html @@ -106,7 +106,7 @@
cartesian_product (dpnp::backend::ext::sycl_ext)
cartesian_product< std::tuple< std::tuple< FirstTupleArgs... > > > (dpnp::backend::ext::sycl_ext)
cartesian_product< std::tuple< Tuples... > > (dpnp::backend::ext::sycl_ext)
cartesian_product_impl (dpnp::backend::ext::sycl_ext)
cartesian_product_impl< std::tuple< std::tuple< T > >, std::tuple< SecondTupleArgs... > > (dpnp::backend::ext::sycl_ext)
cartesian_product_impl< std::tuple< std::tuple< T >, FirstTupleArgs... >, std::tuple< SecondTupleArgs... > > (dpnp::backend::ext::sycl_ext)
CartesianDispatcher (dpnp::backend::ext::sycl_ext)
CbrtContigFactory (dpnp::backend::ext::vm)
CbrtOutputType (dpnp::backend::ext::vm::types)
CeilContigFactory (dpnp::backend::ext::vm)
CeilOutputType (dpnp::backend::ext::vm::types)
ConjContigFactory (dpnp::backend::ext::vm)
ConjOutputType (dpnp::backend::ext::vm::types)
coord_in_space (dpnp::backend::ext::sycl_ext)
coord_in_space< DispatchT, Matcher, std::tuple< Axises... > > (dpnp::backend::ext::sycl_ext)
coord_in_space< DispatchT, Matcher, std::tuple< CurrentAxis > > (dpnp::backend::ext::sycl_ext)
CosContigFactory (dpnp::backend::ext::vm)
CoshContigFactory (dpnp::backend::ext::vm)
CoshOutputType (dpnp::backend::ext::vm::types)
CosOutputType (dpnp::backend::ext::vm::types)
D
-
DivContigFactory (dpnp::backend::ext::vm)
DivOutputType (dpnp::backend::ext::vm::types)
dpnp_less_comp
DPNP_USM_iterator
DPNPC_id
DPNPC_ptr_adapter
DPNPFuncData
+
DivContigFactory (dpnp::backend::ext::vm)
DivOutputType (dpnp::backend::ext::vm::types)
DotTypePairSupportFactory (dpnp::backend::ext::blas::types)
DotuTypePairSupportFactory (dpnp::backend::ext::blas::types)
dpnp_less_comp
DPNP_USM_iterator
DPNPC_id
DPNPC_ptr_adapter
DPNPFuncData
E
elements_count (dpnp::backend::ext::sycl_ext)
elements_count< std::tuple< T > > (dpnp::backend::ext::sycl_ext)
elements_count< std::tuple< T, Axis... > > (dpnp::backend::ext::sycl_ext)
engine_struct
Exp2ContigFactory (dpnp::backend::ext::vm)
Exp2OutputType (dpnp::backend::ext::vm::types)
ExpContigFactory (dpnp::backend::ext::vm)
Expm1ContigFactory (dpnp::backend::ext::vm)
Expm1OutputType (dpnp::backend::ext::vm::types)
ExpOutputType (dpnp::backend::ext::vm::types)
extend_tuple_type (dpnp::backend::ext::sycl_ext)
extend_tuple_type< std::tuple< Args... >, T > (dpnp::backend::ext::sycl_ext)
diff --git a/backend_doc/dir_719437c54d6b79fb9761845202c39532.html b/backend_doc/dir_719437c54d6b79fb9761845202c39532.html index 1af63b2910a..2ad1b370dfd 100644 --- a/backend_doc/dir_719437c54d6b79fb9761845202c39532.html +++ b/backend_doc/dir_719437c54d6b79fb9761845202c39532.html @@ -105,6 +105,8 @@ + + diff --git a/backend_doc/dir_719437c54d6b79fb9761845202c39532.js b/backend_doc/dir_719437c54d6b79fb9761845202c39532.js index a7966a2c2de..f806483f644 100644 --- a/backend_doc/dir_719437c54d6b79fb9761845202c39532.js +++ b/backend_doc/dir_719437c54d6b79fb9761845202c39532.js @@ -1,5 +1,6 @@ var dir_719437c54d6b79fb9761845202c39532 = [ + [ "dot.hpp", "dot_8hpp_source.html", null ], [ "gemm.hpp", "gemm_8hpp_source.html", null ], [ "types_matrix.hpp", "blas_2types__matrix_8hpp_source.html", null ] ]; \ No newline at end of file diff --git a/backend_doc/dot_8hpp_source.html b/backend_doc/dot_8hpp_source.html new file mode 100644 index 00000000000..4a656d22907 --- /dev/null +++ b/backend_doc/dot_8hpp_source.html @@ -0,0 +1,171 @@ + + + + + + + +DPNP C++ backend kernel library: /github/workspace/dpnp/backend/extensions/blas/dot.hpp Source File + + + + + + + + + + + + + +
+
+

Files

 dot.hpp
 
 gemm.hpp
 
 types_matrix.hpp
+ + + + + +
+
DPNP C++ backend kernel library 0.11.1 +
+
Data Parallel Extension for NumPy*
+
+
+ + + + + + + + +
+
+ +
+
+
+ +
+ +
+
+ + +
+
+
+
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+
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+
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dot.hpp
+
+
+
1//*****************************************************************************
+
2// Copyright (c) 2024, Intel Corporation
+
3// All rights reserved.
+
4//
+
5// Redistribution and use in source and binary forms, with or without
+
6// modification, are permitted provided that the following conditions are met:
+
7// - Redistributions of source code must retain the above copyright notice,
+
8// this list of conditions and the following disclaimer.
+
9// - Redistributions in binary form must reproduce the above copyright notice,
+
10// this list of conditions and the following disclaimer in the documentation
+
11// and/or other materials provided with the distribution.
+
12//
+
13// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+
14// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+
15// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+
16// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
+
17// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+
18// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+
19// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+
20// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+
21// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+
22// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
+
23// THE POSSIBILITY OF SUCH DAMAGE.
+
24//*****************************************************************************
+
25
+
26#pragma once
+
27
+
28#include <CL/sycl.hpp>
+
29#include <oneapi/mkl.hpp>
+
30
+
31#include <dpctl4pybind11.hpp>
+
32
+
33namespace dpnp
+
34{
+
35namespace backend
+
36{
+
37namespace ext
+
38{
+
39namespace blas
+
40{
+
41extern std::pair<sycl::event, sycl::event>
+
42 dot(sycl::queue &exec_q,
+
43 dpctl::tensor::usm_ndarray vectorA,
+
44 dpctl::tensor::usm_ndarray vectorB,
+
45 dpctl::tensor::usm_ndarray result,
+
46 const std::vector<sycl::event> &depends);
+
47
+
48extern std::pair<sycl::event, sycl::event>
+
49 dotu(sycl::queue &exec_q,
+
50 dpctl::tensor::usm_ndarray vectorA,
+
51 dpctl::tensor::usm_ndarray vectorB,
+
52 dpctl::tensor::usm_ndarray result,
+
53 const std::vector<sycl::event> &depends);
+
54
+
55extern void init_dot_dispatch_table(void);
+
56extern void init_dotu_dispatch_table(void);
+
57} // namespace blas
+
58} // namespace ext
+
59} // namespace backend
+
60} // namespace dpnp
+
+
+ + + + diff --git a/backend_doc/files.html b/backend_doc/files.html index 7303dd77a48..68dc0aca4dc 100644 --- a/backend_doc/files.html +++ b/backend_doc/files.html @@ -97,82 +97,83 @@
[detail level 123]
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
 ▼ extensions
 ▼ blas
 gemm.hpp
 types_matrix.hpp
 ▼ lapack
 common_helpers.hpp
 gesv.hpp
 gesvd.hpp
 getrf.hpp
 getri.hpp
 heevd.hpp
 linalg_exceptions.hpp
 potrf.hpp
 syevd.hpp
 types_matrix.hpp
 ▼ sycl_ext
 dispatcher_utils.hpp
 sum_mean.hpp
 ▼ vm
 abs.hpp
 acos.hpp
 acosh.hpp
 add.hpp
 asin.hpp
 asinh.hpp
 atan.hpp
 atan2.hpp
 atanh.hpp
 cbrt.hpp
 ceil.hpp
 common.hpp
 conj.hpp
 cos.hpp
 cosh.hpp
 div.hpp
 exp.hpp
 exp2.hpp
 expm1.hpp
 floor.hpp
 hypot.hpp
 ln.hpp
 log10.hpp
 log1p.hpp
 log2.hpp
 mul.hpp
 pow.hpp
 round.hpp
 sin.hpp
 sinh.hpp
 sqr.hpp
 sqrt.hpp
 sub.hpp
 tan.hpp
 tanh.hpp
 trunc.hpp
 types_matrix.hpp
 ▼ include
 dpnp_gen_1arg_1type_tbl.hpp
 dpnp_gen_1arg_2type_tbl.hpp
 dpnp_gen_2arg_1type_tbl.hpp
 dpnp_gen_2arg_2type_tbl.hpp
 dpnp_gen_2arg_3type_tbl.hpp
 dpnp_iface.hpp
 dpnp_iface_fft.hpp
 dpnp_iface_fptr.hpp
 dpnp_iface_random.hpp
 ▼ src
 constants.hpp
 dpnp_fptr.hpp
 dpnp_iterator.hpp
 dpnp_pstl.hpp
 dpnp_random_state.hpp
 dpnp_utils.hpp
 dpnpc_memory_adapter.hpp
 queue_sycl.hpp
 verbose.hpp
 ▼ tests
 dpnp_test_utils.hpp
 dot.hpp
 gemm.hpp
 types_matrix.hpp
 ▼ lapack
 common_helpers.hpp
 gesv.hpp
 gesvd.hpp
 getrf.hpp
 getri.hpp
 heevd.hpp
 linalg_exceptions.hpp
 potrf.hpp
 syevd.hpp
 types_matrix.hpp
 ▼ sycl_ext
 dispatcher_utils.hpp
 sum_mean.hpp
 ▼ vm
 abs.hpp
 acos.hpp
 acosh.hpp
 add.hpp
 asin.hpp
 asinh.hpp
 atan.hpp
 atan2.hpp
 atanh.hpp
 cbrt.hpp
 ceil.hpp
 common.hpp
 conj.hpp
 cos.hpp
 cosh.hpp
 div.hpp
 exp.hpp
 exp2.hpp
 expm1.hpp
 floor.hpp
 hypot.hpp
 ln.hpp
 log10.hpp
 log1p.hpp
 log2.hpp
 mul.hpp
 pow.hpp
 round.hpp
 sin.hpp
 sinh.hpp
 sqr.hpp
 sqrt.hpp
 sub.hpp
 tan.hpp
 tanh.hpp
 trunc.hpp
 types_matrix.hpp
 ▼ include
 dpnp_gen_1arg_1type_tbl.hpp
 dpnp_gen_1arg_2type_tbl.hpp
 dpnp_gen_2arg_1type_tbl.hpp
 dpnp_gen_2arg_2type_tbl.hpp
 dpnp_gen_2arg_3type_tbl.hpp
 dpnp_iface.hpp
 dpnp_iface_fft.hpp
 dpnp_iface_fptr.hpp
 dpnp_iface_random.hpp
 ▼ src
 constants.hpp
 dpnp_fptr.hpp
 dpnp_iterator.hpp
 dpnp_pstl.hpp
 dpnp_random_state.hpp
 dpnp_utils.hpp
 dpnpc_memory_adapter.hpp
 queue_sycl.hpp
 verbose.hpp
 ▼ tests
 dpnp_test_utils.hpp
diff --git a/backend_doc/gemm_8hpp_source.html b/backend_doc/gemm_8hpp_source.html index c7ad5284ef5..a83f2925621 100644 --- a/backend_doc/gemm_8hpp_source.html +++ b/backend_doc/gemm_8hpp_source.html @@ -99,7 +99,7 @@
1//*****************************************************************************
-
2// Copyright (c) 2023, Intel Corporation
+
2// Copyright (c) 2024, Intel Corporation
3// All rights reserved.
4//
5// Redistribution and use in source and binary forms, with or without
diff --git a/backend_doc/hierarchy.html b/backend_doc/hierarchy.html index 05226f25286..8014dfb70a9 100644 --- a/backend_doc/hierarchy.html +++ b/backend_doc/hierarchy.html @@ -142,104 +142,106 @@  Cis_any< T, Ts >  Cdpnp::backend::ext::vm::DivContigFactory< fnT, T >  Cdpnp::backend::ext::vm::types::DivOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::div<T> function - Cdpnp_less_comp"<" comparison with complex types support - CDPNP_USM_iterator< _Tp >Iterator for DPNPC_id type - CDPNPC_id< _Tp >Type to keep USM array pointers used in kernels - CDPNPC_ptr_adapter< _DataType >Adapter for the memory given by parameters in the DPNPC functions - CDPNPFuncDataContains information about the C++ backend function - Cdpnp::backend::ext::sycl_ext::elements_count< Tuple > - Cdpnp::backend::ext::sycl_ext::elements_count< std::tuple< T > > - Cdpnp::backend::ext::sycl_ext::elements_count< std::tuple< T, Axis... > > - ►Cengine_struct - Cmcg59_struct - Cmt19937_struct - ►Cstd::exception - Cdpnp::backend::ext::lapack::LinAlgError - Cdpnp::backend::ext::vm::Exp2ContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::Exp2OutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::exp2<T> function - Cdpnp::backend::ext::vm::ExpContigFactory< fnT, T > - Cdpnp::backend::ext::vm::Expm1ContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::Expm1OutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::expm1<T> function - Cdpnp::backend::ext::vm::types::ExpOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::exp<T> function - Cdpnp::backend::ext::sycl_ext::extend_tuple_type< Tuple, T > - Cdpnp::backend::ext::sycl_ext::extend_tuple_type< std::tuple< Args... >, T > - Cdpnp::backend::ext::vm::FloorContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::FloorOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::floor<T> function - Cfunc_type_pair_t< FuncType, T > - Cdpnp::backend::ext::blas::types::GemmBatchTypePairSupportFactory< Tab, Tc >A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::gemm_batch<Tab, Tc> function - Cdpnp::backend::ext::blas::types::GemmTypePairSupportFactory< Tab, Tc >A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::gemm<Tab, Tc> function - Cdpnp::backend::ext::lapack::types::GesvdTypePairSupportFactory< T, RealT >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::gesvd<T, RealT> function - Cdpnp::backend::ext::lapack::types::GesvTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::gesv<T> function - Cdpnp::backend::ext::sycl_ext::get_linear_id< Tuple > - Cdpnp::backend::ext::sycl_ext::get_linear_id< std::tuple< T > > - Cdpnp::backend::ext::sycl_ext::get_linear_id< std::tuple< T, Axis... > > - Cdpnp::backend::ext::lapack::types::GetrfBatchTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::getrf_batch<T> function - Cdpnp::backend::ext::lapack::types::GetrfTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::getrf<T> function - Cdpnp::backend::ext::lapack::types::GetriBatchTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::getri_batch<T> function - Cdpnp::backend::ext::lapack::types::HeevdTypePairSupportFactory< T, RealT >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::heevd<T, RealT> function - Cdpnp::backend::ext::vm::HypotContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::HypotOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::hypot<T> function - Cdpnp::backend::ext::sycl_ext::index_on_axis< idx, DispatchT, Matcher, Tuple > - Cdpnp::backend::ext::sycl_ext::index_on_axis< idx, DispatchT, Matcher, std::tuple< AxisData... > > - Cdpnp::backend::ext::sycl_ext::index_on_axis< idx, DispatchT, Matcher, std::tuple< T > > - Cdpnp::backend::ext::vm::LnContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::LnOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::ln<T> function - Cdpnp::backend::ext::vm::Log10ContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::Log10OutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::log10<T> function - Cdpnp::backend::ext::vm::Log1pContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::Log1pOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::log1p<T> function - Cdpnp::backend::ext::vm::Log2ContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::Log2OutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::log2<T> function - Cdpnp::backend::ext::sycl_ext::merge_two_inner_tuple_types< FirstTuple, SecondTuple > - Cdpnp::backend::ext::sycl_ext::merge_two_inner_tuple_types< std::tuple< FirstTupleArgs... >, std::tuple< SecondTupleArgs... > > - Cdpnp::backend::ext::sycl_ext::merge_two_inner_tuple_types< std::tuple< std::tuple< FirstTupleArgs... > >, std::tuple< std::tuple< SecondTupleArgs... > > > - Cdpnp::backend::ext::sycl_ext::merge_two_tuple_types< FirstTuple, SecondTuple > - Cdpnp::backend::ext::sycl_ext::merge_two_tuple_types< std::tuple< FirstTupleArgs... >, std::tuple< SecondTupleArgs... > > - Cdpnp::backend::ext::vm::MulContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::MulOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::mul<T> function - Cdpnp::backend::ext::sycl_ext::pop_tuple_type< Tuple > - Cdpnp::backend::ext::sycl_ext::pop_tuple_type< std::tuple< T, Args... > > - Cdpnp::backend::ext::sycl_ext::populate_table< C, FnT, Tuple > - Cdpnp::backend::ext::sycl_ext::populate_table< C, FnT, std::tuple< Args... > > - Cdpnp::backend::ext::sycl_ext::populate_table< C, FnT, std::tuple< std::tuple< Args... > > > - Cdpnp::backend::ext::lapack::types::PotrfBatchTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::potrf<T> function - Cdpnp::backend::ext::lapack::types::PotrfTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::potrf<T> function - Cdpnp::backend::ext::vm::PowContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::PowOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::pow<T> function - Cpython_constants - Cdpnp::backend::ext::sycl_ext::resolve_type< C, Tuple > - Cdpnp::backend::ext::sycl_ext::resolve_type< C, std::tuple< Args... > > - Cdpnp::backend::ext::vm::RoundContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::RoundOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::rint<T> function - Cdpnp::backend::ext::vm::SinContigFactory< fnT, T > - Cdpnp::backend::ext::vm::SinhContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::SinhOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::sinh<T> function - Cdpnp::backend::ext::vm::types::SinOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::sin<T> function - Cdpnp::backend::ext::vm::SqrContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::SqrOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::sqr<T> function - Cdpnp::backend::ext::vm::SqrtContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::SqrtOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::sqrt<T> function - Cdpnp::backend::ext::vm::SubContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::SubOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::sub<T> function - Cdpnp::backend::ext::sycl_ext::sum_mean< InT, OutT, Mean > - Cdpnp::backend::ext::lapack::types::SyevdTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::syevd<T> function - Cdpnp::backend::ext::vm::TanContigFactory< fnT, T > - Cdpnp::backend::ext::vm::TanhContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::TanhOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::tanh<T> function - Cdpnp::backend::ext::vm::types::TanOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::tan<T> function - Cdpnp::backend::ext::vm::TruncContigFactory< fnT, T > - Cdpnp::backend::ext::vm::types::TruncOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::trunc<T> function - Cdpnp::backend::ext::sycl_ext::tuple_of_n_elements< T, N > - Cdpnp::backend::ext::sycl_ext::tuple_of_n_elements< T, 0 > - Cdpnp::backend::ext::sycl_ext::tuple_of_n_elements< T, 1 > - Cdpnp::backend::ext::sycl_ext::tuple_of_tuples< Args > - Cdpnp::backend::ext::sycl_ext::tuple_of_tuples< std::tuple< Args... > > - Cdpnp::backend::ext::sycl_ext::tuple_of_tuples< std::tuple< T > > - Cdpnp::backend::ext::sycl_ext::UsmArrayMatcher - Cdpnp::backend::ext::lapack::helper::value_type_of< T > - Cdpnp::backend::ext::lapack::helper::value_type_of< std::complex< T > > - ►CPs - Cfunc_type_map_factory_t< Ps > + Cdpnp::backend::ext::blas::types::DotTypePairSupportFactory< Tab, Tc >A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::dot<Tab, Tc> function + Cdpnp::backend::ext::blas::types::DotuTypePairSupportFactory< Tab, Tc >A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::dotu<Tab, Tc> function + Cdpnp_less_comp"<" comparison with complex types support + CDPNP_USM_iterator< _Tp >Iterator for DPNPC_id type + CDPNPC_id< _Tp >Type to keep USM array pointers used in kernels + CDPNPC_ptr_adapter< _DataType >Adapter for the memory given by parameters in the DPNPC functions + CDPNPFuncDataContains information about the C++ backend function + Cdpnp::backend::ext::sycl_ext::elements_count< Tuple > + Cdpnp::backend::ext::sycl_ext::elements_count< std::tuple< T > > + Cdpnp::backend::ext::sycl_ext::elements_count< std::tuple< T, Axis... > > + ►Cengine_struct + Cmcg59_struct + Cmt19937_struct + ►Cstd::exception + Cdpnp::backend::ext::lapack::LinAlgError + Cdpnp::backend::ext::vm::Exp2ContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::Exp2OutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::exp2<T> function + Cdpnp::backend::ext::vm::ExpContigFactory< fnT, T > + Cdpnp::backend::ext::vm::Expm1ContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::Expm1OutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::expm1<T> function + Cdpnp::backend::ext::vm::types::ExpOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::exp<T> function + Cdpnp::backend::ext::sycl_ext::extend_tuple_type< Tuple, T > + Cdpnp::backend::ext::sycl_ext::extend_tuple_type< std::tuple< Args... >, T > + Cdpnp::backend::ext::vm::FloorContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::FloorOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::floor<T> function + Cfunc_type_pair_t< FuncType, T > + Cdpnp::backend::ext::blas::types::GemmBatchTypePairSupportFactory< Tab, Tc >A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::gemm_batch<Tab, Tc> function + Cdpnp::backend::ext::blas::types::GemmTypePairSupportFactory< Tab, Tc >A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::gemm<Tab, Tc> function + Cdpnp::backend::ext::lapack::types::GesvdTypePairSupportFactory< T, RealT >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::gesvd<T, RealT> function + Cdpnp::backend::ext::lapack::types::GesvTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::gesv<T> function + Cdpnp::backend::ext::sycl_ext::get_linear_id< Tuple > + Cdpnp::backend::ext::sycl_ext::get_linear_id< std::tuple< T > > + Cdpnp::backend::ext::sycl_ext::get_linear_id< std::tuple< T, Axis... > > + Cdpnp::backend::ext::lapack::types::GetrfBatchTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::getrf_batch<T> function + Cdpnp::backend::ext::lapack::types::GetrfTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::getrf<T> function + Cdpnp::backend::ext::lapack::types::GetriBatchTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::getri_batch<T> function + Cdpnp::backend::ext::lapack::types::HeevdTypePairSupportFactory< T, RealT >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::heevd<T, RealT> function + Cdpnp::backend::ext::vm::HypotContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::HypotOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::hypot<T> function + Cdpnp::backend::ext::sycl_ext::index_on_axis< idx, DispatchT, Matcher, Tuple > + Cdpnp::backend::ext::sycl_ext::index_on_axis< idx, DispatchT, Matcher, std::tuple< AxisData... > > + Cdpnp::backend::ext::sycl_ext::index_on_axis< idx, DispatchT, Matcher, std::tuple< T > > + Cdpnp::backend::ext::vm::LnContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::LnOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::ln<T> function + Cdpnp::backend::ext::vm::Log10ContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::Log10OutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::log10<T> function + Cdpnp::backend::ext::vm::Log1pContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::Log1pOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::log1p<T> function + Cdpnp::backend::ext::vm::Log2ContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::Log2OutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::log2<T> function + Cdpnp::backend::ext::sycl_ext::merge_two_inner_tuple_types< FirstTuple, SecondTuple > + Cdpnp::backend::ext::sycl_ext::merge_two_inner_tuple_types< std::tuple< FirstTupleArgs... >, std::tuple< SecondTupleArgs... > > + Cdpnp::backend::ext::sycl_ext::merge_two_inner_tuple_types< std::tuple< std::tuple< FirstTupleArgs... > >, std::tuple< std::tuple< SecondTupleArgs... > > > + Cdpnp::backend::ext::sycl_ext::merge_two_tuple_types< FirstTuple, SecondTuple > + Cdpnp::backend::ext::sycl_ext::merge_two_tuple_types< std::tuple< FirstTupleArgs... >, std::tuple< SecondTupleArgs... > > + Cdpnp::backend::ext::vm::MulContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::MulOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::mul<T> function + Cdpnp::backend::ext::sycl_ext::pop_tuple_type< Tuple > + Cdpnp::backend::ext::sycl_ext::pop_tuple_type< std::tuple< T, Args... > > + Cdpnp::backend::ext::sycl_ext::populate_table< C, FnT, Tuple > + Cdpnp::backend::ext::sycl_ext::populate_table< C, FnT, std::tuple< Args... > > + Cdpnp::backend::ext::sycl_ext::populate_table< C, FnT, std::tuple< std::tuple< Args... > > > + Cdpnp::backend::ext::lapack::types::PotrfBatchTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::potrf<T> function + Cdpnp::backend::ext::lapack::types::PotrfTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::potrf<T> function + Cdpnp::backend::ext::vm::PowContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::PowOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::pow<T> function + Cpython_constants + Cdpnp::backend::ext::sycl_ext::resolve_type< C, Tuple > + Cdpnp::backend::ext::sycl_ext::resolve_type< C, std::tuple< Args... > > + Cdpnp::backend::ext::vm::RoundContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::RoundOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::rint<T> function + Cdpnp::backend::ext::vm::SinContigFactory< fnT, T > + Cdpnp::backend::ext::vm::SinhContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::SinhOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::sinh<T> function + Cdpnp::backend::ext::vm::types::SinOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::sin<T> function + Cdpnp::backend::ext::vm::SqrContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::SqrOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::sqr<T> function + Cdpnp::backend::ext::vm::SqrtContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::SqrtOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::sqrt<T> function + Cdpnp::backend::ext::vm::SubContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::SubOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::sub<T> function + Cdpnp::backend::ext::sycl_ext::sum_mean< InT, OutT, Mean > + Cdpnp::backend::ext::lapack::types::SyevdTypePairSupportFactory< T >A factory to define pairs of supported types for which MKL LAPACK library provides support in oneapi::mkl::lapack::syevd<T> function + Cdpnp::backend::ext::vm::TanContigFactory< fnT, T > + Cdpnp::backend::ext::vm::TanhContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::TanhOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::tanh<T> function + Cdpnp::backend::ext::vm::types::TanOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::tan<T> function + Cdpnp::backend::ext::vm::TruncContigFactory< fnT, T > + Cdpnp::backend::ext::vm::types::TruncOutputType< T >A factory to define pairs of supported types for which MKL VM library provides support in oneapi::mkl::vm::trunc<T> function + Cdpnp::backend::ext::sycl_ext::tuple_of_n_elements< T, N > + Cdpnp::backend::ext::sycl_ext::tuple_of_n_elements< T, 0 > + Cdpnp::backend::ext::sycl_ext::tuple_of_n_elements< T, 1 > + Cdpnp::backend::ext::sycl_ext::tuple_of_tuples< Args > + Cdpnp::backend::ext::sycl_ext::tuple_of_tuples< std::tuple< Args... > > + Cdpnp::backend::ext::sycl_ext::tuple_of_tuples< std::tuple< T > > + Cdpnp::backend::ext::sycl_ext::UsmArrayMatcher + Cdpnp::backend::ext::lapack::helper::value_type_of< T > + Cdpnp::backend::ext::lapack::helper::value_type_of< std::complex< T > > + ►CPs + Cfunc_type_map_factory_t< Ps >
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b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dot_type_pair_support_factory-members.html @@ -0,0 +1,109 @@ + + + + + + + +DPNP C++ backend kernel library: Member List + + + + + + + + + + + + + +
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+
DPNP C++ backend kernel library 0.11.1 +
+
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dpnp::backend::ext::blas::types::DotTypePairSupportFactory< Tab, Tc > Member List
+
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+ +

This is the complete list of members for dpnp::backend::ext::blas::types::DotTypePairSupportFactory< Tab, Tc >, including all inherited members.

+ + +
is_defined (defined in dpnp::backend::ext::blas::types::DotTypePairSupportFactory< Tab, Tc >)dpnp::backend::ext::blas::types::DotTypePairSupportFactory< Tab, Tc >static
+
+ + + + diff --git a/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dot_type_pair_support_factory.html b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dot_type_pair_support_factory.html new file mode 100644 index 00000000000..408dba7caf9 --- /dev/null +++ b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dot_type_pair_support_factory.html @@ -0,0 +1,168 @@ + + + + + + + +DPNP C++ backend kernel library: dpnp::backend::ext::blas::types::DotTypePairSupportFactory< Tab, Tc > Struct Template Reference + + + + + + + + + + + + + +
+
+ + + + + + +
+
DPNP C++ backend kernel library 0.11.1 +
+
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dpnp::backend::ext::blas::types::DotTypePairSupportFactory< Tab, Tc > Struct Template Reference
+
+
+ +

A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::dot<Tab, Tc> function. + More...

+ +

#include <types_matrix.hpp>

+ + + + +

+Static Public Attributes

static constexpr bool is_defined
 
+

Detailed Description

+
template<typename Tab, typename Tc>
+struct dpnp::backend::ext::blas::types::DotTypePairSupportFactory< Tab, Tc >

A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::dot<Tab, Tc> function.

+
Template Parameters
+ + + +
TabType of arrays containing input vectors A and B.
TcType of array containing output.
+
+
+ +

Definition at line 55 of file types_matrix.hpp.

+

Member Data Documentation

+ +

◆ is_defined

+ +
+
+
+template<typename Tab , typename Tc >
+ + + + + +
+ + + + +
constexpr bool dpnp::backend::ext::blas::types::DotTypePairSupportFactory< Tab, Tc >::is_defined
+ 		+staticconstexpr
+
+Initial value:
= std::disjunction<
+
dpctl_td_ns::TypePairDefinedEntry<Tab, float, Tc, float>,
+
dpctl_td_ns::TypePairDefinedEntry<Tab, float, Tc, double>,
+
dpctl_td_ns::TypePairDefinedEntry<Tab, double, Tc, double>,
+
+
dpctl_td_ns::NotDefinedEntry>::is_defined
+
+

Definition at line 57 of file types_matrix.hpp.

+ +
+
+
The documentation for this struct was generated from the following file: +
+
+ + + + diff --git a/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dotu_type_pair_support_factory-members.html b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dotu_type_pair_support_factory-members.html new file mode 100644 index 00000000000..6ef97a59c3b --- /dev/null +++ b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dotu_type_pair_support_factory-members.html @@ -0,0 +1,109 @@ + + + + + + + +DPNP C++ backend kernel library: Member List + + + + + + + + + + + + + +
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dpnp::backend::ext::blas::types::DotuTypePairSupportFactory< Tab, Tc > Member List
+
+
+ +

This is the complete list of members for dpnp::backend::ext::blas::types::DotuTypePairSupportFactory< Tab, Tc >, including all inherited members.

+ + +
is_defined (defined in dpnp::backend::ext::blas::types::DotuTypePairSupportFactory< Tab, Tc >)dpnp::backend::ext::blas::types::DotuTypePairSupportFactory< Tab, Tc >static
+
+ + + + diff --git a/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dotu_type_pair_support_factory.html b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dotu_type_pair_support_factory.html new file mode 100644 index 00000000000..045e8c3dbb9 --- /dev/null +++ b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_dotu_type_pair_support_factory.html @@ -0,0 +1,173 @@ + + + + + + + +DPNP C++ backend kernel library: dpnp::backend::ext::blas::types::DotuTypePairSupportFactory< Tab, Tc > Struct Template Reference + + + + + + + + + + + + + +
+
+ + + + + + +
+
DPNP C++ backend kernel library 0.11.1 +
+
Data Parallel Extension for NumPy*
+
+
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+Static Public Attributes | +List of all members
+
dpnp::backend::ext::blas::types::DotuTypePairSupportFactory< Tab, Tc > Struct Template Reference
+
+
+ +

A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::dotu<Tab, Tc> function. + More...

+ +

#include <types_matrix.hpp>

+ + + + +

+Static Public Attributes

static constexpr bool is_defined
 
+

Detailed Description

+
template<typename Tab, typename Tc>
+struct dpnp::backend::ext::blas::types::DotuTypePairSupportFactory< Tab, Tc >

A factory to define pairs of supported types for which MKL BLAS library provides support in oneapi::mkl::blas::dotu<Tab, Tc> function.

+
Template Parameters
+ + + +
TabType of arrays containing input vectors A and B.
TcType of array containing output.
+
+
+ +

Definition at line 74 of file types_matrix.hpp.

+

Member Data Documentation

+ +

◆ is_defined

+ +
+
+
+template<typename Tab , typename Tc >
+ + + + + +
+ + + + +
constexpr bool dpnp::backend::ext::blas::types::DotuTypePairSupportFactory< Tab, Tc >::is_defined
+ 		+staticconstexpr
+
+Initial value:
= std::disjunction<
+
dpctl_td_ns::TypePairDefinedEntry<Tab,
+
std::complex<float>,
+
Tc,
+
std::complex<float>>,
+
dpctl_td_ns::TypePairDefinedEntry<Tab,
+
std::complex<double>,
+
Tc,
+
std::complex<double>>,
+
+
dpctl_td_ns::NotDefinedEntry>::is_defined
+
+

Definition at line 76 of file types_matrix.hpp.

+ +
+
+
The documentation for this struct was generated from the following file: +
+
+ + + + diff --git a/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_gemm_batch_type_pair_support_factory.html b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_gemm_batch_type_pair_support_factory.html index c17abd5f1cd..e4fa6e858ca 100644 --- a/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_gemm_batch_type_pair_support_factory.html +++ b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_gemm_batch_type_pair_support_factory.html @@ -118,7 +118,7 @@ -

Definition at line 85 of file types_matrix.hpp.

+

Definition at line 128 of file types_matrix.hpp.

Member Data Documentation

◆ is_defined

@@ -159,7 +159,7 @@

dpctl_td_ns::NotDefinedEntry>::is_defined
-

Definition at line 87 of file types_matrix.hpp.

+

Definition at line 130 of file types_matrix.hpp.

diff --git a/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_gemm_type_pair_support_factory.html b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_gemm_type_pair_support_factory.html index 72b476b24df..393fa5a8015 100644 --- a/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_gemm_type_pair_support_factory.html +++ b/backend_doc/structdpnp_1_1backend_1_1ext_1_1blas_1_1types_1_1_gemm_type_pair_support_factory.html @@ -118,7 +118,7 @@ -

Definition at line 55 of file types_matrix.hpp.

+

Definition at line 98 of file types_matrix.hpp.

Member Data Documentation

◆ is_defined

@@ -159,7 +159,7 @@

dpctl_td_ns::NotDefinedEntry>::is_defined
-

Definition at line 57 of file types_matrix.hpp.

+

Definition at line 100 of file types_matrix.hpp.

diff --git a/dpctl.html b/dpctl.html index 588af2912d0..d5299e98902 100644 --- a/dpctl.html +++ b/dpctl.html @@ -13,7 +13,7 @@ - Interplay with the Data Parallel Control Library — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Interplay with the Data Parallel Control Library — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -44,7 +44,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/dpnp_backend_api.html b/dpnp_backend_api.html index 7880e009387..85f285b6b7d 100644 --- a/dpnp_backend_api.html +++ b/dpnp_backend_api.html @@ -13,7 +13,7 @@ - C++ backend API Reference — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + C++ backend API Reference — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -45,7 +45,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/genindex.html b/genindex.html index 7692dc5b32d..c66f6cd04f9 100644 --- a/genindex.html +++ b/genindex.html @@ -12,7 +12,7 @@ - Index — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Index — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/index.html b/index.html index cdef118c1f7..ac3c4df286f 100644 --- a/index.html +++ b/index.html @@ -13,7 +13,7 @@ - Data Parallel Extension for NumPy* — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Data Parallel Extension for NumPy* — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -45,7 +45,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/objects.inv b/objects.inv index 1ffd165005b..351b10ee14c 100644 Binary files a/objects.inv and b/objects.inv differ diff --git a/overview.html b/overview.html index 0752432fb2a..c99f504b921 100644 --- a/overview.html +++ b/overview.html @@ -13,7 +13,7 @@ - Overview — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Overview — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/py-modindex.html b/py-modindex.html index ea953135ab0..80c824291e3 100644 --- a/py-modindex.html +++ b/py-modindex.html @@ -12,7 +12,7 @@ - Python Module Index — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Python Module Index — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -23,7 +23,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/quick_start_guide.html b/quick_start_guide.html index c60953488f7..269244e3a63 100644 --- a/quick_start_guide.html +++ b/quick_start_guide.html @@ -13,7 +13,7 @@ - Quick Start Guide — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Quick Start Guide — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/binary.html b/reference/binary.html index 94bbb79741f..0be4816b612 100644 --- a/reference/binary.html +++ b/reference/binary.html @@ -13,7 +13,7 @@ - Binary Operations — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Binary Operations — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/comparison.html b/reference/comparison.html index 62a860e98a5..5bec6b83268 100644 --- a/reference/comparison.html +++ b/reference/comparison.html @@ -13,7 +13,7 @@ - Comparison Table NumPy/ DPNP/ CuPy — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Comparison Table NumPy/ DPNP/ CuPy — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -112,7 +112,7 @@

Comparison Table NumPy/ DPNP/ CuPy

Here is a list of NumPy and CuPy APIs and its corresponding DPNP implementations.

- in DPNP column means that DPNP implementation is not provided yet.

-

NumPy(v1.23.5) / DPNP(v0.11.1+454.ge7f7a7cb) / CuPy(v9.6.0) APIs

+

NumPy(v1.23.5) / DPNP(v0.11.1+457.gac1fca74) / CuPy(v9.6.0) APIs

Summary

diff --git a/reference/creation.html b/reference/creation.html index 84b3f2d0ffe..44687d598b3 100644 --- a/reference/creation.html +++ b/reference/creation.html @@ -13,7 +13,7 @@ - Array Creation Routines — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Array Creation Routines — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/dtype.html b/reference/dtype.html index bdf12398203..e54002ed28f 100644 --- a/reference/dtype.html +++ b/reference/dtype.html @@ -13,7 +13,7 @@ - Data type routines — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Data type routines — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/dtypes_table.html b/reference/dtypes_table.html index c8dbbe963f8..16350b577e6 100644 --- a/reference/dtypes_table.html +++ b/reference/dtypes_table.html @@ -13,7 +13,7 @@ - Available array data types — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Available array data types — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/fft.html b/reference/fft.html index f8dde4c8dc5..f6e8bba412b 100644 --- a/reference/fft.html +++ b/reference/fft.html @@ -13,7 +13,7 @@ - FFT Functions — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + FFT Functions — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.abs.html b/reference/generated/dpnp.abs.html index fba232cf652..76c121066c9 100644 --- a/reference/generated/dpnp.abs.html +++ b/reference/generated/dpnp.abs.html @@ -13,7 +13,7 @@ - dpnp.abs — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.abs — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.absolute.html b/reference/generated/dpnp.absolute.html index 59586b71c70..4b5c97b445c 100644 --- a/reference/generated/dpnp.absolute.html +++ b/reference/generated/dpnp.absolute.html @@ -13,7 +13,7 @@ - dpnp.absolute — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.absolute — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.add.html b/reference/generated/dpnp.add.html index cec25f90bf9..70be4f97944 100644 --- a/reference/generated/dpnp.add.html +++ b/reference/generated/dpnp.add.html @@ -13,7 +13,7 @@ - dpnp.add — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.add — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.all.html b/reference/generated/dpnp.all.html index 0fd410b991b..191266a480a 100644 --- a/reference/generated/dpnp.all.html +++ b/reference/generated/dpnp.all.html @@ -13,7 +13,7 @@ - dpnp.all — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.all — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.allclose.html b/reference/generated/dpnp.allclose.html index 61a7a3a4829..8cfaf10c8d5 100644 --- a/reference/generated/dpnp.allclose.html +++ b/reference/generated/dpnp.allclose.html @@ -13,7 +13,7 @@ - dpnp.allclose — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.allclose — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.amax.html b/reference/generated/dpnp.amax.html index a3bf64eae00..8b612bae35a 100644 --- a/reference/generated/dpnp.amax.html +++ b/reference/generated/dpnp.amax.html @@ -13,7 +13,7 @@ - dpnp.amax — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.amax — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.amin.html b/reference/generated/dpnp.amin.html index 96434199217..c00e5afa2f6 100644 --- a/reference/generated/dpnp.amin.html +++ b/reference/generated/dpnp.amin.html @@ -13,7 +13,7 @@ - dpnp.amin — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.amin — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.angle.html b/reference/generated/dpnp.angle.html index 0da9b5c1db8..b60d76711f7 100644 --- a/reference/generated/dpnp.angle.html +++ b/reference/generated/dpnp.angle.html @@ -13,7 +13,7 @@ - dpnp.angle — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.angle — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.any.html b/reference/generated/dpnp.any.html index b28ff470a88..5d1c975177a 100644 --- a/reference/generated/dpnp.any.html +++ b/reference/generated/dpnp.any.html @@ -13,7 +13,7 @@ - dpnp.any — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.any — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.arange.html b/reference/generated/dpnp.arange.html index 091568f8b3d..c963962c21b 100644 --- a/reference/generated/dpnp.arange.html +++ b/reference/generated/dpnp.arange.html @@ -13,7 +13,7 @@ - dpnp.arange — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.arange — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -131,11 +131,29 @@

dpnp.arangenumpy.arange.

-
Returns:
-

out – The 1-D array containing evenly spaced values.

+
Parameters:
+
    +

  • start ({int, real}, optional) – Start of interval. The interval includes this value. The default start value is 0.

    • +

  • stop ({int, real}) – End of interval. The interval does not include this value, except in some cases +where step is not an integer and floating point round-off affects the length of out.

    • +

  • step ({int, real}, optional) – Spacing between values. The default step size is 1. If step is specified as +a position argument, start must also be given.

    • +

  • dtype (dtype, optional) – The desired dtype for the array. If not given, a default dtype will be used that can represent +the values (by considering Promotion Type Rule and device capabilities when necessary.)

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is “device”.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – The 1-D array containing evenly spaced values.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

Limitations

@@ -150,12 +168,28 @@

dpnp.arangeExamples

>>> import dpnp as np
->>> [i for i in np.arange(3)]
-[0, 1, 2]
->>> [i for i in np.arange(3, 7)]
-[3, 4, 5, 6]
->>> [i for i in np.arange(3, 7, 2)]
-[3, 5]
+>>> np.arange(3)
+array([0, 1, 2])
+>>> np.arange(3, 7)
+array([3, 4, 5, 6])
+>>> np.arange(3, 7, 2)
+array([3, 5])
+
+
+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.arange(3)  # default case
+>>> x, x.device, x.usm_type
+(array([0, 1, 2]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.arange(3, device="cpu")
+>>> y, y.device, y.usm_type
+(array([0, 1, 2]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.arange(3, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([0, 1, 2]), Device(level_zero:gpu:0), 'host')
diff --git a/reference/generated/dpnp.arccos.html b/reference/generated/dpnp.arccos.html index 90765e82c35..88e2be26530 100644 --- a/reference/generated/dpnp.arccos.html +++ b/reference/generated/dpnp.arccos.html @@ -13,7 +13,7 @@ - dpnp.arccos — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.arccos — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.arccosh.html b/reference/generated/dpnp.arccosh.html index f4dda61f3ce..18ac31a6642 100644 --- a/reference/generated/dpnp.arccosh.html +++ b/reference/generated/dpnp.arccosh.html @@ -13,7 +13,7 @@ - dpnp.arccosh — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.arccosh — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.arcsin.html b/reference/generated/dpnp.arcsin.html index 5d8bb19fbd7..b5fa07c5a59 100644 --- a/reference/generated/dpnp.arcsin.html +++ b/reference/generated/dpnp.arcsin.html @@ -13,7 +13,7 @@ - dpnp.arcsin — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.arcsin — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.arcsinh.html b/reference/generated/dpnp.arcsinh.html index 13ba8fe16c6..64eea80cfd9 100644 --- a/reference/generated/dpnp.arcsinh.html +++ b/reference/generated/dpnp.arcsinh.html @@ -13,7 +13,7 @@ - dpnp.arcsinh — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.arcsinh — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.arctan.html b/reference/generated/dpnp.arctan.html index b397bf2e694..2e4f957fd4d 100644 --- a/reference/generated/dpnp.arctan.html +++ b/reference/generated/dpnp.arctan.html @@ -13,7 +13,7 @@ - dpnp.arctan — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.arctan — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.arctan2.html b/reference/generated/dpnp.arctan2.html index fe2f1abf822..0e3ea1ae3d8 100644 --- a/reference/generated/dpnp.arctan2.html +++ b/reference/generated/dpnp.arctan2.html @@ -13,7 +13,7 @@ - dpnp.arctan2 — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.arctan2 — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.arctanh.html b/reference/generated/dpnp.arctanh.html index e1b7653aef5..4db81f1609d 100644 --- a/reference/generated/dpnp.arctanh.html +++ b/reference/generated/dpnp.arctanh.html @@ -13,7 +13,7 @@ - dpnp.arctanh — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.arctanh — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.argmax.html b/reference/generated/dpnp.argmax.html index 5a182d94407..2099d5a6baf 100644 --- a/reference/generated/dpnp.argmax.html +++ b/reference/generated/dpnp.argmax.html @@ -13,7 +13,7 @@ - dpnp.argmax — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.argmax — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.argmin.html b/reference/generated/dpnp.argmin.html index ac220077650..67f91a0263b 100644 --- a/reference/generated/dpnp.argmin.html +++ b/reference/generated/dpnp.argmin.html @@ -13,7 +13,7 @@ - dpnp.argmin — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.argmin — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.argsort.html b/reference/generated/dpnp.argsort.html index 34d3ed3e09f..24cfb94a007 100644 --- a/reference/generated/dpnp.argsort.html +++ b/reference/generated/dpnp.argsort.html @@ -13,7 +13,7 @@ - dpnp.argsort — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.argsort — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.around.html b/reference/generated/dpnp.around.html index d31acc657bb..6ed6243ef57 100644 --- a/reference/generated/dpnp.around.html +++ b/reference/generated/dpnp.around.html @@ -13,7 +13,7 @@ - dpnp.around — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.around — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.array.html b/reference/generated/dpnp.array.html index cd8bdbcd591..cdf1b145672 100644 --- a/reference/generated/dpnp.array.html +++ b/reference/generated/dpnp.array.html @@ -13,7 +13,7 @@ - dpnp.array — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.array — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -131,11 +131,28 @@

dpnp.arraynumpy.array.

-
Returns:
-

out – An array object satisfying the specified requirements.

+
Parameters:
+
    +

  • a (array_like) – Input data, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

    • +

  • dtype (dtype, optional) – The desired dtype for the array. If not given, a default dtype will be used that can represent +the values (by considering Promotion Type Rule and device capabilities when necessary.)

    • +

  • copy (bool, optional) – If True (default), then the object is copied.

    • +

  • order ({"C", "F", "A", "K"}, optional) – Memory layout of the newly output array. Default: “K”.

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – An array object satisfying the specified requirements.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

Limitations

@@ -169,17 +186,33 @@

dpnp.array>>> x = np.array([1, 2, 3]) >>> x.ndim, x.size, x.shape (1, 3, (3,)) ->>> print(x) -[1 2 3] +>>> x +array([1, 2, 3])

More than one dimension:

>>> x2 = np.array([[1, 2], [3, 4]])
 >>> x2.ndim, x2.size, x2.shape
 (2, 4, (2, 2))
->>> print(x2)
-[[1 2]
- [3 4]]
+>>> x2
+array([[1, 2],
+       [3, 4]])
+
+
+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.array([1, 2, 3]) # default case
+>>> x, x.device, x.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.array([1, 2, 3], device="cpu")
+>>> y, y.device, y.usm_type
+(array([1, 2, 3]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.array([1, 2, 3], usm_type="host")
+>>> z, z.device, z.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'host')
diff --git a/reference/generated/dpnp.array_equal.html b/reference/generated/dpnp.array_equal.html index 5ffbf3743be..4465b1e9195 100644 --- a/reference/generated/dpnp.array_equal.html +++ b/reference/generated/dpnp.array_equal.html @@ -13,7 +13,7 @@ - dpnp.array_equal — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.array_equal — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.asanyarray.html b/reference/generated/dpnp.asanyarray.html index d5ee34e60d0..669b76dd854 100644 --- a/reference/generated/dpnp.asanyarray.html +++ b/reference/generated/dpnp.asanyarray.html @@ -13,7 +13,7 @@ - dpnp.asanyarray — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.asanyarray — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -136,11 +136,27 @@

dpnp.asanyarraydpnp.ndarray.

For full documentation refer to numpy.asanyarray.

-
Returns:
-

out – Array interpretation of a.

+
Parameters:
+
    +

  • a (array_like) – Input data, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

    • +

  • dtype (dtype, optional) – The desired dtype for the array. If not given, a default dtype will be used that can represent +the values (by considering Promotion Type Rule and device capabilities when necessary.)

    • +

  • order ({"C", "F", "A", "K"}, optional) – Memory layout of the newly output array. Default: “K”.

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – Array interpretation of a.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

Limitations

@@ -171,6 +187,22 @@

dpnp.asanyarrayarray([1, 2, 3])

+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.asanyarray([1, 2, 3]) # default case
+>>> x, x.device, x.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.asanyarray([1, 2, 3], device="cpu")
+>>> y, y.device, y.usm_type
+(array([1, 2, 3]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.asanyarray([1, 2, 3], usm_type="host")
+>>> z, z.device, z.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'host')
+
+
diff --git a/reference/generated/dpnp.asarray.html b/reference/generated/dpnp.asarray.html index dff11c8eae4..899d8453f94 100644 --- a/reference/generated/dpnp.asarray.html +++ b/reference/generated/dpnp.asarray.html @@ -13,7 +13,7 @@ - dpnp.asarray — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.asarray — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -136,12 +136,28 @@

dpnp.asarraynumpy.asarray.

-
Returns:
-

out – Array interpretation of a. No copy is performed if the input +

Parameters:
+
    +

  • a (array_like) – Input data, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

    • +

  • dtype (dtype, optional) – The desired dtype for the array. If not given, a default dtype will be used that can represent +the values (by considering Promotion Type Rule and device capabilities when necessary.)

    • +

  • order ({"C", "F", "A", "K"}, optional) – Memory layout of the newly output array. Default: “K”.

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – Array interpretation of a. No copy is performed if the input is already an ndarray with matching dtype and order.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

Limitations

@@ -172,6 +188,22 @@

dpnp.asarrayarray([1, 2, 3])

+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.asarray([1, 2, 3]) # default case
+>>> x, x.device, x.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.asarray([1, 2, 3], device="cpu")
+>>> y, y.device, y.usm_type
+(array([1, 2, 3]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.asarray([1, 2, 3], usm_type="host")
+>>> z, z.device, z.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'host')
+
+
diff --git a/reference/generated/dpnp.ascontiguousarray.html b/reference/generated/dpnp.ascontiguousarray.html index 5928fcb09d7..c44c728eaa4 100644 --- a/reference/generated/dpnp.ascontiguousarray.html +++ b/reference/generated/dpnp.ascontiguousarray.html @@ -13,7 +13,7 @@ - dpnp.ascontiguousarray — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.ascontiguousarray — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -136,12 +136,27 @@

dpnp.ascontiguousarray

Return a contiguous array (ndim >= 1) in memory (C order).

For full documentation refer to numpy.ascontiguousarray.

-
Returns:
-

out – Contiguous array of same shape and content as a, with type dtype +

Parameters:
+
    +

  • a (array_like) – Input data, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

    • +

  • dtype (dtype, optional) – The desired dtype for the array. If not given, a default dtype will be used that can represent +the values (by considering Promotion Type Rule and device capabilities when necessary.)

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – Contiguous array of same shape and content as a, with type dtype if specified.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

Limitations

@@ -185,6 +200,23 @@

dpnp.ascontiguousarrayTrue

+

Creating an array on a different device or with a specified usm_type

+
>>> x0 = np.asarray([1, 2, 3])
+>>> x = np.ascontiguousarray(x0) # default case
+>>> x, x.device, x.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.ascontiguousarray(x0, device="cpu")
+>>> y, y.device, y.usm_type
+(array([1, 2, 3]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.ascontiguousarray(x0, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'host')
+
+
diff --git a/reference/generated/dpnp.asfarray.html b/reference/generated/dpnp.asfarray.html index c25dab860af..b6fc26c8da6 100644 --- a/reference/generated/dpnp.asfarray.html +++ b/reference/generated/dpnp.asfarray.html @@ -13,7 +13,7 @@ - dpnp.asfarray — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.asfarray — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.asfortranarray.html b/reference/generated/dpnp.asfortranarray.html index 0849cf7ff1f..4b62e5de0a7 100644 --- a/reference/generated/dpnp.asfortranarray.html +++ b/reference/generated/dpnp.asfortranarray.html @@ -13,7 +13,7 @@ - dpnp.asfortranarray — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.asfortranarray — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -136,11 +136,26 @@

dpnp.asfortranarraynumpy.asfortranarray.

-
Returns:
-

out – The input a in Fortran, or column-major, order.

+
Parameters:
+
    +

  • a (array_like) – Input data, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

    • +

  • dtype (dtype, optional) – The desired dtype for the array. If not given, a default dtype will be used that can represent +the values (by considering Promotion Type Rule and device capabilities when necessary.)

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – The input a in Fortran, or column-major, order.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

Limitations

@@ -189,6 +204,23 @@

dpnp.asfortranarrayTrue

+

Creating an array on a different device or with a specified usm_type

+
>>> x0 = np.asarray([1, 2, 3])
+>>> x = np.asfortranarray(x0) # default case
+>>> x, x.device, x.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.asfortranarray(x0, device="cpu")
+>>> y, y.device, y.usm_type
+(array([1, 2, 3]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.asfortranarray(x0, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'host')
+
+
diff --git a/reference/generated/dpnp.asnumpy.html b/reference/generated/dpnp.asnumpy.html index 2952c2b477d..de7ee0483ee 100644 --- a/reference/generated/dpnp.asnumpy.html +++ b/reference/generated/dpnp.asnumpy.html @@ -13,7 +13,7 @@ - dpnp.asnumpy — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.asnumpy — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.atleast_1d.html b/reference/generated/dpnp.atleast_1d.html index 95080bc7768..7bbe12a7b93 100644 --- a/reference/generated/dpnp.atleast_1d.html +++ b/reference/generated/dpnp.atleast_1d.html @@ -13,7 +13,7 @@ - dpnp.atleast_1d — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.atleast_1d — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.atleast_2d.html b/reference/generated/dpnp.atleast_2d.html index 717273ee7eb..756a8f6e7c6 100644 --- a/reference/generated/dpnp.atleast_2d.html +++ b/reference/generated/dpnp.atleast_2d.html @@ -13,7 +13,7 @@ - dpnp.atleast_2d — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.atleast_2d — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.atleast_3d.html b/reference/generated/dpnp.atleast_3d.html index 51343fb1c74..37ffa0f3a99 100644 --- a/reference/generated/dpnp.atleast_3d.html +++ b/reference/generated/dpnp.atleast_3d.html @@ -13,7 +13,7 @@ - dpnp.atleast_3d — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.atleast_3d — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.average.html b/reference/generated/dpnp.average.html index c4801d0f511..2ebc72e7ddb 100644 --- a/reference/generated/dpnp.average.html +++ b/reference/generated/dpnp.average.html @@ -13,7 +13,7 @@ - dpnp.average — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.average — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.bincount.html b/reference/generated/dpnp.bincount.html index dd47b581348..e8cdb414d2e 100644 --- a/reference/generated/dpnp.bincount.html +++ b/reference/generated/dpnp.bincount.html @@ -13,7 +13,7 @@ - dpnp.bincount — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.bincount — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.bitwise_and.html b/reference/generated/dpnp.bitwise_and.html index db1a204155a..04802241272 100644 --- a/reference/generated/dpnp.bitwise_and.html +++ b/reference/generated/dpnp.bitwise_and.html @@ -13,7 +13,7 @@ - dpnp.bitwise_and — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.bitwise_and — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.bitwise_not.html b/reference/generated/dpnp.bitwise_not.html index 6f89267acdc..2965836eefc 100644 --- a/reference/generated/dpnp.bitwise_not.html +++ b/reference/generated/dpnp.bitwise_not.html @@ -13,7 +13,7 @@ - dpnp.bitwise_not — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.bitwise_not — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.bitwise_or.html b/reference/generated/dpnp.bitwise_or.html index 9d780debd0e..a80629b3f88 100644 --- a/reference/generated/dpnp.bitwise_or.html +++ b/reference/generated/dpnp.bitwise_or.html @@ -13,7 +13,7 @@ - dpnp.bitwise_or — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.bitwise_or — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.bitwise_xor.html b/reference/generated/dpnp.bitwise_xor.html index 7199ff9c16f..780010ff7f7 100644 --- a/reference/generated/dpnp.bitwise_xor.html +++ b/reference/generated/dpnp.bitwise_xor.html @@ -13,7 +13,7 @@ - dpnp.bitwise_xor — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.bitwise_xor — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.broadcast_arrays.html b/reference/generated/dpnp.broadcast_arrays.html index f3ead70f9b0..e790349f606 100644 --- a/reference/generated/dpnp.broadcast_arrays.html +++ b/reference/generated/dpnp.broadcast_arrays.html @@ -13,7 +13,7 @@ - dpnp.broadcast_arrays — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.broadcast_arrays — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.broadcast_to.html b/reference/generated/dpnp.broadcast_to.html index a192b4e67f3..f0bafe2558b 100644 --- a/reference/generated/dpnp.broadcast_to.html +++ b/reference/generated/dpnp.broadcast_to.html @@ -13,7 +13,7 @@ - dpnp.broadcast_to — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.broadcast_to — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.can_cast.html b/reference/generated/dpnp.can_cast.html index e08bac6d2fa..7e0e31545cd 100644 --- a/reference/generated/dpnp.can_cast.html +++ b/reference/generated/dpnp.can_cast.html @@ -13,7 +13,7 @@ - dpnp.can_cast — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.can_cast — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.cbrt.html b/reference/generated/dpnp.cbrt.html index e1772f1a9aa..c5bd9db4b0d 100644 --- a/reference/generated/dpnp.cbrt.html +++ b/reference/generated/dpnp.cbrt.html @@ -13,7 +13,7 @@ - dpnp.cbrt — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.cbrt — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.ceil.html b/reference/generated/dpnp.ceil.html index 87ea1d62c43..f0e4d2ba952 100644 --- a/reference/generated/dpnp.ceil.html +++ b/reference/generated/dpnp.ceil.html @@ -13,7 +13,7 @@ - dpnp.ceil — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.ceil — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.choose.html b/reference/generated/dpnp.choose.html index 578df3328ba..69d3d97b59d 100644 --- a/reference/generated/dpnp.choose.html +++ b/reference/generated/dpnp.choose.html @@ -13,7 +13,7 @@ - dpnp.choose — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.choose — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.clip.html b/reference/generated/dpnp.clip.html index dab7e59920d..6bd51485414 100644 --- a/reference/generated/dpnp.clip.html +++ b/reference/generated/dpnp.clip.html @@ -13,7 +13,7 @@ - dpnp.clip — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.clip — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.column_stack.html b/reference/generated/dpnp.column_stack.html index 2891e6c7396..4068748625d 100644 --- a/reference/generated/dpnp.column_stack.html +++ b/reference/generated/dpnp.column_stack.html @@ -13,7 +13,7 @@ - dpnp.column_stack — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.column_stack — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.concatenate.html b/reference/generated/dpnp.concatenate.html index 49f4c568525..b0eb79c3539 100644 --- a/reference/generated/dpnp.concatenate.html +++ b/reference/generated/dpnp.concatenate.html @@ -13,7 +13,7 @@ - dpnp.concatenate — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.concatenate — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.conj.html b/reference/generated/dpnp.conj.html index 59adb494140..755a32209ad 100644 --- a/reference/generated/dpnp.conj.html +++ b/reference/generated/dpnp.conj.html @@ -13,7 +13,7 @@ - dpnp.conj — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.conj — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.conjugate.html b/reference/generated/dpnp.conjugate.html index ef8fc9d7ed2..0de8fb7e054 100644 --- a/reference/generated/dpnp.conjugate.html +++ b/reference/generated/dpnp.conjugate.html @@ -13,7 +13,7 @@ - dpnp.conjugate — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.conjugate — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.convolve.html b/reference/generated/dpnp.convolve.html index cc2c68e9684..5df43ae64c4 100644 --- a/reference/generated/dpnp.convolve.html +++ b/reference/generated/dpnp.convolve.html @@ -13,7 +13,7 @@ - dpnp.convolve — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.convolve — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.copy.html b/reference/generated/dpnp.copy.html index cc9616b215f..09c7cc95123 100644 --- a/reference/generated/dpnp.copy.html +++ b/reference/generated/dpnp.copy.html @@ -13,7 +13,7 @@ - dpnp.copy — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.copy — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -127,9 +127,25 @@

dpnp.copy

-dpnp.copy(a, order='K', subok=False)[source]
+dpnp.copy(a, order='K', subok=False, device=None, usm_type=None, sycl_queue=None)[source]

Return an array copy of the given object.

For full documentation refer to numpy.copy.

+
+
Parameters:
+
    +

  • a (array_like) – Input data, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

    • +

  • order ({"C", "F", "A", "K"}, optional) – Memory layout of the newly output array. Default: “K”.

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+

Limitations

Parameter subok is supported only with default value False. Otherwise, the function raises ValueError exception.

@@ -169,6 +185,23 @@

dpnp.copyarray(False)

+

Creating an array on a different device or with a specified usm_type

+
>>> x0 = np.array([1, 2, 3])
+>>> x = np.copy(x0) # default case
+>>> x, x.device, x.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.copy(x0, device="cpu")
+>>> y, y.device, y.usm_type
+(array([1, 2, 3]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.copy(x0, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([1, 2, 3]), Device(level_zero:gpu:0), 'host')
+
+
diff --git a/reference/generated/dpnp.copysign.html b/reference/generated/dpnp.copysign.html index c34c9ca7d97..d1b631083f4 100644 --- a/reference/generated/dpnp.copysign.html +++ b/reference/generated/dpnp.copysign.html @@ -13,7 +13,7 @@ - dpnp.copysign — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.copysign — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.copyto.html b/reference/generated/dpnp.copyto.html index a8532b4f3b9..97b075560b0 100644 --- a/reference/generated/dpnp.copyto.html +++ b/reference/generated/dpnp.copyto.html @@ -13,7 +13,7 @@ - dpnp.copyto — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.copyto — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.correlate.html b/reference/generated/dpnp.correlate.html index de8429f738c..5bb319dc292 100644 --- a/reference/generated/dpnp.correlate.html +++ b/reference/generated/dpnp.correlate.html @@ -13,7 +13,7 @@ - dpnp.correlate — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.correlate — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.cos.html b/reference/generated/dpnp.cos.html index 36b817c37c7..2e825cc4e29 100644 --- a/reference/generated/dpnp.cos.html +++ b/reference/generated/dpnp.cos.html @@ -13,7 +13,7 @@ - dpnp.cos — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.cos — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.cosh.html b/reference/generated/dpnp.cosh.html index c22c390e80f..ff11caf080b 100644 --- a/reference/generated/dpnp.cosh.html +++ b/reference/generated/dpnp.cosh.html @@ -13,7 +13,7 @@ - dpnp.cosh — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.cosh — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.count_nonzero.html b/reference/generated/dpnp.count_nonzero.html index ce4684e37a4..e7976544b7f 100644 --- a/reference/generated/dpnp.count_nonzero.html +++ b/reference/generated/dpnp.count_nonzero.html @@ -13,7 +13,7 @@ - dpnp.count_nonzero — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.count_nonzero — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.cov.html b/reference/generated/dpnp.cov.html index 11e6ef2d08c..ff7b905491e 100644 --- a/reference/generated/dpnp.cov.html +++ b/reference/generated/dpnp.cov.html @@ -13,7 +13,7 @@ - dpnp.cov — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.cov — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.cross.html b/reference/generated/dpnp.cross.html index 1a9298ad54b..671737fe664 100644 --- a/reference/generated/dpnp.cross.html +++ b/reference/generated/dpnp.cross.html @@ -13,7 +13,7 @@ - dpnp.cross — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.cross — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.cumprod.html b/reference/generated/dpnp.cumprod.html index f6c3da02d0b..44fd9307c45 100644 --- a/reference/generated/dpnp.cumprod.html +++ b/reference/generated/dpnp.cumprod.html @@ -13,7 +13,7 @@ - dpnp.cumprod — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.cumprod — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.cumsum.html b/reference/generated/dpnp.cumsum.html index e891784b451..caad5983902 100644 --- a/reference/generated/dpnp.cumsum.html +++ b/reference/generated/dpnp.cumsum.html @@ -13,7 +13,7 @@ - dpnp.cumsum — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.cumsum — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.deg2rad.html b/reference/generated/dpnp.deg2rad.html index 2abb26d2f5f..1f1b4e534cf 100644 --- a/reference/generated/dpnp.deg2rad.html +++ b/reference/generated/dpnp.deg2rad.html @@ -13,7 +13,7 @@ - dpnp.deg2rad — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.deg2rad — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.degrees.html b/reference/generated/dpnp.degrees.html index de3ad9bf920..3acf6fba8ca 100644 --- a/reference/generated/dpnp.degrees.html +++ b/reference/generated/dpnp.degrees.html @@ -13,7 +13,7 @@ - dpnp.degrees — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.degrees — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.diag.html b/reference/generated/dpnp.diag.html index 713e64b7b0b..7d0f403615b 100644 --- a/reference/generated/dpnp.diag.html +++ b/reference/generated/dpnp.diag.html @@ -13,7 +13,7 @@ - dpnp.diag — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.diag — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -130,16 +130,30 @@

dpnp.diagnumpy.diag.

-
Returns:
-

out – The extracted diagonal or constructed diagonal array.

+
Parameters:
+
    +

  • v (array_like) – Input data, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. +If v is a 2-D array, return a copy of its k-th diagonal. If v is a 1-D array, +return a 2-D array with v on the k-th diagonal.

    • +

  • k (int, optional) – Diagonal in question. The default is 0. Use k > 0 for diagonals above the main diagonal, +and k < 0 for diagonals below the main diagonal.

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – The extracted diagonal or constructed diagonal array.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

-

Limitations

-

Parameter k is only supported as integer data type. -Otherwise TypeError exception will be raised.

See also

@@ -157,27 +171,43 @@

dpnp.diagExamples

>>> import dpnp as np
->>> x = np.arange(9).reshape((3,3))
->>> x
+>>> x0 = np.arange(9).reshape((3, 3))
+>>> x0
 array([[0, 1, 2],
        [3, 4, 5],
        [6, 7, 8]])
-
>>> np.diag(x)
+
>>> np.diag(x0)
 array([0, 4, 8])
->>> np.diag(x, k=1)
+>>> np.diag(x0, k=1)
 array([1, 5])
->>> np.diag(x, k=-1)
+>>> np.diag(x0, k=-1)
 array([3, 7])
 

 

-
>>> np.diag(np.diag(x))
+
>>> np.diag(np.diag(x0))
 array([[0, 0, 0],
        [0, 4, 0],
        [0, 0, 8]])
 

 

+
Creating an array on a different device or with a specified usm_type

+
>>> x = np.diag(x0) # default case
+>>> x, x.device, x.usm_type
+(array([0, 4, 8]), Device(level_zero:gpu:0), 'device')
+

+

+
>>> y = np.diag(x0, device="cpu")
+>>> y, y.device, y.usm_type
+(array([0, 4, 8]), Device(opencl:cpu:0), 'device')
+

+

+
>>> z = np.diag(x0, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([0, 4, 8]), Device(level_zero:gpu:0), 'host')
+

+

diff --git a/reference/generated/dpnp.diag_indices.html b/reference/generated/dpnp.diag_indices.html index ecf8c2e1edf..5d525f06704 100644 --- a/reference/generated/dpnp.diag_indices.html +++ b/reference/generated/dpnp.diag_indices.html @@ -13,7 +13,7 @@ - dpnp.diag_indices — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.diag_indices — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.diag_indices_from.html b/reference/generated/dpnp.diag_indices_from.html index f483cb8201f..86182ca0f55 100644 --- a/reference/generated/dpnp.diag_indices_from.html +++ b/reference/generated/dpnp.diag_indices_from.html @@ -13,7 +13,7 @@ - dpnp.diag_indices_from — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.diag_indices_from — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.diagflat.html b/reference/generated/dpnp.diagflat.html index aa0074f3d66..a67946cd681 100644 --- a/reference/generated/dpnp.diagflat.html +++ b/reference/generated/dpnp.diagflat.html @@ -13,7 +13,7 @@ - dpnp.diagflat — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.diagflat — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -131,11 +131,27 @@

dpnp.diagflatnumpy.diagflat.

-
Returns:
-

out – The 2-D output array.

+
Parameters:
+
    +

  • v (array_like) – Input data, which is flattened and set as the k-th diagonal of the output, +in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

    • +

  • k (int, optional) – Diagonal to set; 0, the default, corresponds to the “main” diagonal, +a positive (negative) k giving the number of the diagonal above (below) the main.

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – The 2-D output array.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

@@ -154,20 +170,45 @@

dpnp.diagflatTypeError exception will be raised.

Examples

>>> import dpnp as np
->>> x = np.array([[1,2], [3,4]])
->>> np.diagflat(x)
+>>> x0 = np.array([[1, 2], [3, 4]])
+>>> np.diagflat(x0)
 array([[1, 0, 0, 0],
        [0, 2, 0, 0],
        [0, 0, 3, 0],
        [0, 0, 0, 4]])
-
>>> np.diagflat(x, 1)
+
>>> np.diagflat(x0, 1)
 array([[0, 1, 0, 0, 0],
-    [0, 0, 2, 0, 0],
-    [0, 0, 0, 3, 0],
-    [0, 0, 0, 0, 4],
-    [0, 0, 0, 0, 0]])
+       [0, 0, 2, 0, 0],
+       [0, 0, 0, 3, 0],
+       [0, 0, 0, 0, 4],
+       [0, 0, 0, 0, 0]])
+

+

+
Creating an array on a different device or with a specified usm_type

+
>>> x = np.diagflat(x0) # default case
+>>> x, x.device, x.usm_type
+array([[1, 0, 0, 0],
+       [0, 2, 0, 0],
+       [0, 0, 3, 0],
+       [0, 0, 0, 4]]), Device(level_zero:gpu:0), 'device')
+

+

+
>>> y = np.diagflat(x0, device="cpu")
+>>> y, y.device, y.usm_type
+array([[1, 0, 0, 0],
+       [0, 2, 0, 0],
+       [0, 0, 3, 0],
+       [0, 0, 0, 4]]), Device(opencl:cpu:0), 'device')
+

+

+
>>> z = np.diagflat(x0, usm_type="host")
+>>> z, z.device, z.usm_type
+array([[1, 0, 0, 0],
+       [0, 2, 0, 0],
+       [0, 0, 3, 0],
+       [0, 0, 0, 4]]), Device(level_zero:gpu:0), 'host')
 

 

 
diff --git a/reference/generated/dpnp.diagonal.html b/reference/generated/dpnp.diagonal.html
index 048d7a481d6..2b45ddd3fa6 100644
--- a/reference/generated/dpnp.diagonal.html
+++ b/reference/generated/dpnp.diagonal.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.diagonal — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.diagonal — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.diff.html b/reference/generated/dpnp.diff.html
index ceb0777be00..8e0af9a41df 100644
--- a/reference/generated/dpnp.diff.html
+++ b/reference/generated/dpnp.diff.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.diff — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.diff — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.divide.html b/reference/generated/dpnp.divide.html
index ae713e3dd5e..bfe56dba7ad 100644
--- a/reference/generated/dpnp.divide.html
+++ b/reference/generated/dpnp.divide.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.divide — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.divide — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.dot.html b/reference/generated/dpnp.dot.html
index 37b9a4dac26..7c314a9fbce 100644
--- a/reference/generated/dpnp.dot.html
+++ b/reference/generated/dpnp.dot.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.dot — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.dot — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
@@ -127,39 +127,72 @@
 
dpnp.dot

 

 

-dpnp.dot(x1, x2, out=None, **kwargs)[source]

-
Dot product of x1 and x2.

+dpnp.dot(a, b, out=None)[source]
+
Dot product of a and b.

 
For full documentation refer to numpy.dot.

 

-
Returns:

-
y – Returns the dot product of x1 and x2.
+
Parameters:

+
    
+
  • a ({dpnp_array, usm_ndarray, scalar}) – First input array. Both inputs a and b can not be scalars at the same time.
    • 
+
  • b ({dpnp_array, usm_ndarray, scalar}) – Second input array. Both inputs a and b can not be scalars at the same time.
    • 
+
  • out ({dpnp.ndarray, usm_ndarray}, optional) – Alternative output array in which to place the result. It must have
+the same shape and data type as the expected output and should be
+C-contiguous. If these conditions are not met, an exception is
+raised, instead of attempting to be flexible.
    • 
+

+

+
Returns:

+
out – Returns the dot product of a and b.
 If out is given, then it is returned.

 

-
Return type:

-
dpnp.ndarray

+
Return type:

+
dpnp.ndarray

 

 

-
Limitations

-
Parameters x1 and x2 are supported as either scalar, dpnp.ndarray
-or dpctl.tensor.usm_ndarray, but both x1 and x2 can not be scalars at the same time.
-Keyword argument kwargs is currently unsupported.
-Otherwise the functions will be executed sequentially on CPU.
-Input array data types are limited by supported DPNP Data types.

 

 
See also

 

+
dpnp.ndarray.dot
Equivalent method.

+

 
dpnp.tensordot
Sum products over arbitrary axes.

 

 
dpnp.vdot
Complex-conjugating dot product.

 

+
dpnp.einsum
Einstein summation convention.

+

+
dpnp.matmul
Matrix product of two arrays.

+

+
dpnp.linalg.multi_dot
Chained dot product.

+

 

 

 
Examples

-
>>> import dpnp as dp
->>> a = dp.array([1, 2, 3])
->>> b = dp.array([1, 2, 3])
->>> dp.dot(a, b)
-14
+
>>> import dpnp as np
+>>> a = np.array([1, 2, 3])
+>>> b = np.array([1, 2, 3])
+>>> np.dot(a, b)
+array(14)
+

+

+
Neither argument is complex-conjugated:

+
>>> np.dot(np.array([2j, 3j]), np.array([2j, 3j]))
+array(-13+0j)
+

+

+
For 2-D arrays it is the matrix product:

+
>>> a = np.array([[1, 0], [0, 1]])
+>>> b = np.array([[4, 1], [2, 2]])
+>>> np.dot(a, b)
+array([[4, 1],
+       [2, 2]])
+

+

+
>>> a = np.arange(3*4*5*6).reshape((3,4,5,6))
+>>> b = np.arange(3*4*5*6)[::-1].reshape((5,4,6,3))
+>>> np.dot(a, b)[2,3,2,1,2,2]
+array(499128)
+>>> sum(a[2,3,2,:] * b[1,2,:,2])
+array(499128)
 

 

 

diff --git a/reference/generated/dpnp.dpnp_array.dpnp_array.html b/reference/generated/dpnp.dpnp_array.dpnp_array.html
index f234cc3ab4c..a93269692dc 100644
--- a/reference/generated/dpnp.dpnp_array.dpnp_array.html
+++ b/reference/generated/dpnp.dpnp_array.dpnp_array.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.dpnp_array.dpnp_array — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.dpnp_array.dpnp_array — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
@@ -355,8 +355,25 @@ 
dpnp.dpnp_array.dpnp_array
 

-dot(other, out=None)[source]

-

+dot(b, out=None)[source]
+
Dot product of two arrays.

+
For full documentation refer to dpnp.dot.

+
Examples

+
>>> import dpnp as np
+>>> a = np.eye(2)
+>>> b = np.ones((2, 2)) * 2
+>>> a.dot(b)
+array([[2., 2.],
+       [2., 2.]])
+

+

+
This array method can be conveniently chained:

+
>>> a.dot(b).dot(b)
+array([[8., 8.],
+       [8., 8.]])
+

+

+

 
 

 

diff --git a/reference/generated/dpnp.dstack.html b/reference/generated/dpnp.dstack.html
index d3c1db733c2..7d1e1059d24 100644
--- a/reference/generated/dpnp.dstack.html
+++ b/reference/generated/dpnp.dstack.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.dstack — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.dstack — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.dtype.html b/reference/generated/dpnp.dtype.html
index 3d5155dd466..a2bb2da7c79 100644
--- a/reference/generated/dpnp.dtype.html
+++ b/reference/generated/dpnp.dtype.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.dtype — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.dtype — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.ediff1d.html b/reference/generated/dpnp.ediff1d.html
index 70ec4080149..55bd50e9c16 100644
--- a/reference/generated/dpnp.ediff1d.html
+++ b/reference/generated/dpnp.ediff1d.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ediff1d — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ediff1d — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.einsum.html b/reference/generated/dpnp.einsum.html
index 45def1e85d4..8ccbed6f3a8 100644
--- a/reference/generated/dpnp.einsum.html
+++ b/reference/generated/dpnp.einsum.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.einsum — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.einsum — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.einsum_path.html b/reference/generated/dpnp.einsum_path.html
index 8dfd06b89dd..6cca8457bfa 100644
--- a/reference/generated/dpnp.einsum_path.html
+++ b/reference/generated/dpnp.einsum_path.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.einsum_path — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.einsum_path — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.empty.html b/reference/generated/dpnp.empty.html
index c26246e1c12..2b94c5e0738 100644
--- a/reference/generated/dpnp.empty.html
+++ b/reference/generated/dpnp.empty.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.empty — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.empty — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

 
Return a new array of given shape and type, without initializing entries.

 
For full documentation refer to numpy.empty.

+

+
Parameters:

+
    
+
  • shape ({int, sequence of ints}) – Shape of the new array, e.g., (2, 3) or 2.
    • 
+
  • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point
+data type for the device where input array is allocated.
    • 
+
  • order ({"C", "F"}, optional) – Memory layout of the newly output array. Default: “C”.
    • 
+
  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created.
+The device can be None (the default), an OneAPI filter selector string,
+an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device,
+an instance of dpctl.SyclQueue, or a Device object returned by
+dpnp.dpnp_array.dpnp_array.device property.
    • 
+
  • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is “device”.
    • 
+
  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.
    • 
+

+

+
Returns:

+
out – Array of uninitialized data of the given shape, dtype, and order.

+

+
Return type:

+
dpnp.ndarray

+

+

 
Limitations

-
Parameter order is supported only with values "C" and "F".
-Parameter like is supported only with default value None.
+
Parameter like is supported only with default value None.
 Otherwise the function will be executed sequentially on CPU.

 

 
See also

@@ -149,9 +171,24 @@ 
dpnp.emptyExamples

 
>>> import dpnp as np
->>> x = np.empty(4)
->>> print(x)
-[0. 0. 0. 0.]
+>>> np.empty(4)
+array([9.03088525e-312, 9.03088525e-312, 9.03088525e-312, 9.03088525e-312])
+

+

+
Creating an array on a different device or with a specified usm_type

+
>>> x = np.empty((3, 3)) # default case
+>>> x.shape, x.device, x.usm_type
+((3, 3), Device(level_zero:gpu:0), 'device')
+

+

+
>>> y = np.empty((3, 3), device="cpu")
+>>> y.shape, y.device, y.usm_type
+((3, 3), Device(opencl:cpu:0), 'device')
+

+

+
>>> z = np.empty((3, 3), usm_type="host")
+>>> z.shape, z.device, z.usm_type
+((3, 3), Device(level_zero:gpu:0), 'host')
 

 

 

diff --git a/reference/generated/dpnp.empty_like.html b/reference/generated/dpnp.empty_like.html
index 9f4dffda8c7..d14fbdae8d6 100644
--- a/reference/generated/dpnp.empty_like.html
+++ b/reference/generated/dpnp.empty_like.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.empty_like — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.empty_like — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
@@ -127,13 +127,35 @@
 
dpnp.empty_like

 

 

-dpnp.empty_like(x1, /, *, dtype=None, order='C', subok=False, shape=None, device=None, usm_type=None, sycl_queue=None)[source]

+dpnp.empty_like(a, /, *, dtype=None, order='C', subok=False, shape=None, device=None, usm_type=None, sycl_queue=None)[source]
 
Return a new array with the same shape and type as a given array.

 
For full documentation refer to numpy.empty_like.

+

+
Parameters:

+
    
+
  • a ({dpnp_array, usm_ndarray}) – The shape and dtype of a define these same attributes of the returned array.
    • 
+
  • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point
+data type for the device where input array is allocated.
    • 
+
  • order ({"C", "F"}, optional) – Memory layout of the newly output array. Default: “C”.
    • 
+
  • shape ({int, sequence of ints}) – Overrides the shape of the result.
    • 
+
  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created.
+The device can be None (the default), an OneAPI filter selector string,
+an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device,
+an instance of dpctl.SyclQueue, or a Device object returned by
+dpnp.dpnp_array.dpnp_array.device property.
    • 
+
  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.
    • 
+
  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.
    • 
+

+

+
Returns:

+
out – Array of uninitialized data with the same shape and type as prototype.

+

+
Return type:

+
dpnp.ndarray

+

+

 
Limitations

-
Parameter x1 is supported as dpnp.dpnp.ndarray or dpctl.tensor.usm_ndarray
-Parameter order is supported with values "C" or "F".
-Parameter subok is supported only with default value False.
+
Parameter subok is supported only with default value False.
 Otherwise the function will be executed sequentially on CPU.

 

 
See also

@@ -151,9 +173,24 @@ 
dpnp.empty_likeExamples

 
>>> import dpnp as np
 >>> a = np.array([1, 2, 3])
->>> x = np.empty_like(a)
->>> [i for i in x]
-[0, 0, 0]
+>>> np.empty_like(a)
+array([1, 2, 3])
+

+

+
Creating an array on a different device or with a specified usm_type

+
>>> x = np.empty_like(a) # default case
+>>> x.shape, x.device, x.usm_type
+((3, ), Device(level_zero:gpu:0), 'device')
+

+

+
>>> y = np.empty_like(a, device="cpu")
+>>> y.shape, y.device, y.usm_type
+((3, ), Device(opencl:cpu:0), 'device')
+

+

+
>>> z = np.empty_like(a, usm_type="host")
+>>> z.shape, z.device, z.usm_type
+((3, ), Device(level_zero:gpu:0), 'host')
 

 

 

diff --git a/reference/generated/dpnp.equal.html b/reference/generated/dpnp.equal.html
index 7b2f918c40f..ff80e8c6ba0 100644
--- a/reference/generated/dpnp.equal.html
+++ b/reference/generated/dpnp.equal.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.equal — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.equal — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.erf.html b/reference/generated/dpnp.erf.html
index d0582ac16e7..38e57fffce9 100644
--- a/reference/generated/dpnp.erf.html
+++ b/reference/generated/dpnp.erf.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.erf — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.erf — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.exp.html b/reference/generated/dpnp.exp.html
index f850532a730..1e24c0ce993 100644
--- a/reference/generated/dpnp.exp.html
+++ b/reference/generated/dpnp.exp.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.exp — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.exp — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.exp2.html b/reference/generated/dpnp.exp2.html
index 216fbfb2815..20131e44082 100644
--- a/reference/generated/dpnp.exp2.html
+++ b/reference/generated/dpnp.exp2.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.exp2 — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.exp2 — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.expand_dims.html b/reference/generated/dpnp.expand_dims.html
index 4f199c6ecc0..77a5376ff5f 100644
--- a/reference/generated/dpnp.expand_dims.html
+++ b/reference/generated/dpnp.expand_dims.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.expand_dims — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.expand_dims — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.expm1.html b/reference/generated/dpnp.expm1.html
index 46e74315889..7857171ef5d 100644
--- a/reference/generated/dpnp.expm1.html
+++ b/reference/generated/dpnp.expm1.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.expm1 — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.expm1 — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.extract.html b/reference/generated/dpnp.extract.html
index 8a6e2febd9f..fd3a18c3a5b 100644
--- a/reference/generated/dpnp.extract.html
+++ b/reference/generated/dpnp.extract.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.extract — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.extract — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
diff --git a/reference/generated/dpnp.eye.html b/reference/generated/dpnp.eye.html
index e69c19d21ef..bedf83f3afb 100644
--- a/reference/generated/dpnp.eye.html
+++ b/reference/generated/dpnp.eye.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.eye — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.eye — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               

-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               

 

   
@@ -130,6 +130,33 @@ 
dpnp.eye
 dpnp.eye(N, /, M=None, k=0, dtype=None, order='C', *, like=None, device=None, usm_type='device', sycl_queue=None)[source]
 
Return a 2-D array with ones on the diagonal and zeros elsewhere.

 
For full documentation refer to numpy.eye.

+

+
Parameters:

+
    
+
  • N (int) – Number of rows in the output.
    • 
+
  • M (int, optional) – Number of columns in the output. If None, defaults to N.
    • 
+
  • k (int, optional) – Index of the diagonal: 0 (the default) refers to the main diagonal,
+a positive value refers to an upper diagonal, and a negative value to a lower diagonal.
    • 
+
  • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point
+data type for the device where input array is allocated.
    • 
+
  • order ({"C", "F"}, optional) – Memory layout of the newly output array. Default: “C”.
    • 
+
  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created.
+The device can be None (the default), an OneAPI filter selector string,
+an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device,
+an instance of dpctl.SyclQueue, or a Device object returned by
+dpnp.dpnp_array.dpnp_array.device property.
    • 
+
  • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is “device”.
    • 
+
  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.
    • 
+

+

+
Returns:

+
out – An array where all elements are equal to zero, except for the k-th diagonal,
+whose values are equal to one.

+

+
Return type:

+
dpnp.ndarray

+

+

 
Limitations

 
Parameter order is supported only with values "C" and "F".
 Parameter like is supported only with default value None.
@@ -147,6 +174,25 @@ 
dpnp.eye
        [0.,  0.,  0.]])
+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.eye(2, dtype=int) # default case
+>>> x, x.device, x.usm_type
+(array([[1, 0],
+        [0, 1]]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.eye(2, dtype=int, device="cpu")
+>>> y, y.device, y.usm_type
+(array([[1, 0],
+        [0, 1]]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.eye(2, dtype=int, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([[1, 0],
+        [0, 1]]), Device(level_zero:gpu:0), 'host')
+
+
diff --git a/reference/generated/dpnp.fabs.html b/reference/generated/dpnp.fabs.html index 2b06d638a1b..7c64ed148ae 100644 --- a/reference/generated/dpnp.fabs.html +++ b/reference/generated/dpnp.fabs.html @@ -13,7 +13,7 @@ - dpnp.fabs — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fabs — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.fft.html b/reference/generated/dpnp.fft.fft.html index 0fd40575e04..b36202be492 100644 --- a/reference/generated/dpnp.fft.fft.html +++ b/reference/generated/dpnp.fft.fft.html @@ -13,7 +13,7 @@ - dpnp.fft.fft — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.fft — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.fft2.html b/reference/generated/dpnp.fft.fft2.html index 08ea70bceaa..d8fac518753 100644 --- a/reference/generated/dpnp.fft.fft2.html +++ b/reference/generated/dpnp.fft.fft2.html @@ -13,7 +13,7 @@ - dpnp.fft.fft2 — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.fft2 — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.fftfreq.html b/reference/generated/dpnp.fft.fftfreq.html index 507c85b6810..e04bba37e85 100644 --- a/reference/generated/dpnp.fft.fftfreq.html +++ b/reference/generated/dpnp.fft.fftfreq.html @@ -13,7 +13,7 @@ - dpnp.fft.fftfreq — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.fftfreq — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.fftn.html b/reference/generated/dpnp.fft.fftn.html index 3230ca5161f..379146cba5e 100644 --- a/reference/generated/dpnp.fft.fftn.html +++ b/reference/generated/dpnp.fft.fftn.html @@ -13,7 +13,7 @@ - dpnp.fft.fftn — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.fftn — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.fftshift.html b/reference/generated/dpnp.fft.fftshift.html index 338fe25eb00..2266a3b43fd 100644 --- a/reference/generated/dpnp.fft.fftshift.html +++ b/reference/generated/dpnp.fft.fftshift.html @@ -13,7 +13,7 @@ - dpnp.fft.fftshift — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.fftshift — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.hfft.html b/reference/generated/dpnp.fft.hfft.html index 9404320292e..79fd2de988e 100644 --- a/reference/generated/dpnp.fft.hfft.html +++ b/reference/generated/dpnp.fft.hfft.html @@ -13,7 +13,7 @@ - dpnp.fft.hfft — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.hfft — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.ifft.html b/reference/generated/dpnp.fft.ifft.html index c28a74ffae1..00b08828088 100644 --- a/reference/generated/dpnp.fft.ifft.html +++ b/reference/generated/dpnp.fft.ifft.html @@ -13,7 +13,7 @@ - dpnp.fft.ifft — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.ifft — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.ifft2.html b/reference/generated/dpnp.fft.ifft2.html index 1c331bd4b13..b8928ae8e88 100644 --- a/reference/generated/dpnp.fft.ifft2.html +++ b/reference/generated/dpnp.fft.ifft2.html @@ -13,7 +13,7 @@ - dpnp.fft.ifft2 — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.ifft2 — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.ifftn.html b/reference/generated/dpnp.fft.ifftn.html index 229c7c3232d..a0d96bbd77e 100644 --- a/reference/generated/dpnp.fft.ifftn.html +++ b/reference/generated/dpnp.fft.ifftn.html @@ -13,7 +13,7 @@ - dpnp.fft.ifftn — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.ifftn — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.ifftshift.html b/reference/generated/dpnp.fft.ifftshift.html index 5f2294f9fa1..fb3fed13a00 100644 --- a/reference/generated/dpnp.fft.ifftshift.html +++ b/reference/generated/dpnp.fft.ifftshift.html @@ -13,7 +13,7 @@ - dpnp.fft.ifftshift — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.ifftshift — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.ihfft.html b/reference/generated/dpnp.fft.ihfft.html index 3a697394e18..d55f75f7a7c 100644 --- a/reference/generated/dpnp.fft.ihfft.html +++ b/reference/generated/dpnp.fft.ihfft.html @@ -13,7 +13,7 @@ - dpnp.fft.ihfft — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.ihfft — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.irfft.html b/reference/generated/dpnp.fft.irfft.html index 2e70565e0be..5b959d5e7a2 100644 --- a/reference/generated/dpnp.fft.irfft.html +++ b/reference/generated/dpnp.fft.irfft.html @@ -13,7 +13,7 @@ - dpnp.fft.irfft — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.irfft — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.irfft2.html b/reference/generated/dpnp.fft.irfft2.html index 10338931082..8ade07729d2 100644 --- a/reference/generated/dpnp.fft.irfft2.html +++ b/reference/generated/dpnp.fft.irfft2.html @@ -13,7 +13,7 @@ - dpnp.fft.irfft2 — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.irfft2 — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.irfftn.html b/reference/generated/dpnp.fft.irfftn.html index af313b36812..8349e850d5d 100644 --- a/reference/generated/dpnp.fft.irfftn.html +++ b/reference/generated/dpnp.fft.irfftn.html @@ -13,7 +13,7 @@ - dpnp.fft.irfftn — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.irfftn — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.rfft.html b/reference/generated/dpnp.fft.rfft.html index 308b0cd383a..8678a2352a6 100644 --- a/reference/generated/dpnp.fft.rfft.html +++ b/reference/generated/dpnp.fft.rfft.html @@ -13,7 +13,7 @@ - dpnp.fft.rfft — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.rfft — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.rfft2.html b/reference/generated/dpnp.fft.rfft2.html index 351fed64eb7..2647a866996 100644 --- a/reference/generated/dpnp.fft.rfft2.html +++ b/reference/generated/dpnp.fft.rfft2.html @@ -13,7 +13,7 @@ - dpnp.fft.rfft2 — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.rfft2 — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.rfftfreq.html b/reference/generated/dpnp.fft.rfftfreq.html index 1c4cecd899d..a8abf0655e8 100644 --- a/reference/generated/dpnp.fft.rfftfreq.html +++ b/reference/generated/dpnp.fft.rfftfreq.html @@ -13,7 +13,7 @@ - dpnp.fft.rfftfreq — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.rfftfreq — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fft.rfftn.html b/reference/generated/dpnp.fft.rfftn.html index e9c045a2e28..7ec84ec9c55 100644 --- a/reference/generated/dpnp.fft.rfftn.html +++ b/reference/generated/dpnp.fft.rfftn.html @@ -13,7 +13,7 @@ - dpnp.fft.rfftn — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fft.rfftn — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fill_diagonal.html b/reference/generated/dpnp.fill_diagonal.html index 4480536d1f5..0e92224c7d7 100644 --- a/reference/generated/dpnp.fill_diagonal.html +++ b/reference/generated/dpnp.fill_diagonal.html @@ -13,7 +13,7 @@ - dpnp.fill_diagonal — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fill_diagonal — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.finfo.html b/reference/generated/dpnp.finfo.html index 6751a55d43b..dedf29dfee5 100644 --- a/reference/generated/dpnp.finfo.html +++ b/reference/generated/dpnp.finfo.html @@ -13,7 +13,7 @@ - dpnp.finfo — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.finfo — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.flatiter.html b/reference/generated/dpnp.flatiter.html index 11c8b952a47..2f22b43e1d3 100644 --- a/reference/generated/dpnp.flatiter.html +++ b/reference/generated/dpnp.flatiter.html @@ -13,7 +13,7 @@ - dpnp.flatiter — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.flatiter — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.flip.html b/reference/generated/dpnp.flip.html index 38535351204..3943c5cb0de 100644 --- a/reference/generated/dpnp.flip.html +++ b/reference/generated/dpnp.flip.html @@ -13,7 +13,7 @@ - dpnp.flip — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.flip — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fliplr.html b/reference/generated/dpnp.fliplr.html index 961d3671038..4051739acde 100644 --- a/reference/generated/dpnp.fliplr.html +++ b/reference/generated/dpnp.fliplr.html @@ -13,7 +13,7 @@ - dpnp.fliplr — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fliplr — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.flipud.html b/reference/generated/dpnp.flipud.html index 937df9b413f..f8cd945e51f 100644 --- a/reference/generated/dpnp.flipud.html +++ b/reference/generated/dpnp.flipud.html @@ -13,7 +13,7 @@ - dpnp.flipud — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.flipud — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.floor.html b/reference/generated/dpnp.floor.html index 0a24f79db34..0a77a2ca980 100644 --- a/reference/generated/dpnp.floor.html +++ b/reference/generated/dpnp.floor.html @@ -13,7 +13,7 @@ - dpnp.floor — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.floor — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.floor_divide.html b/reference/generated/dpnp.floor_divide.html index bbfe23f6310..1a4ec3f19f7 100644 --- a/reference/generated/dpnp.floor_divide.html +++ b/reference/generated/dpnp.floor_divide.html @@ -13,7 +13,7 @@ - dpnp.floor_divide — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.floor_divide — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fmax.html b/reference/generated/dpnp.fmax.html index c0d4bd265ef..61769851fa8 100644 --- a/reference/generated/dpnp.fmax.html +++ b/reference/generated/dpnp.fmax.html @@ -13,7 +13,7 @@ - dpnp.fmax — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fmax — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fmin.html b/reference/generated/dpnp.fmin.html index d71d0b6deff..1920ed3b674 100644 --- a/reference/generated/dpnp.fmin.html +++ b/reference/generated/dpnp.fmin.html @@ -13,7 +13,7 @@ - dpnp.fmin — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fmin — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fmod.html b/reference/generated/dpnp.fmod.html index fe3963d6455..655ca96fdc7 100644 --- a/reference/generated/dpnp.fmod.html +++ b/reference/generated/dpnp.fmod.html @@ -13,7 +13,7 @@ - dpnp.fmod — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fmod — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.from_dlpack.html b/reference/generated/dpnp.from_dlpack.html index f3f724100d0..1bd1ab33341 100644 --- a/reference/generated/dpnp.from_dlpack.html +++ b/reference/generated/dpnp.from_dlpack.html @@ -13,7 +13,7 @@ - dpnp.from_dlpack — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.from_dlpack — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.frombuffer.html b/reference/generated/dpnp.frombuffer.html index cdacd412d59..ada668925ed 100644 --- a/reference/generated/dpnp.frombuffer.html +++ b/reference/generated/dpnp.frombuffer.html @@ -13,7 +13,7 @@ - dpnp.frombuffer — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.frombuffer — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fromfile.html b/reference/generated/dpnp.fromfile.html index f87400a16f6..8a5ad3f2c0b 100644 --- a/reference/generated/dpnp.fromfile.html +++ b/reference/generated/dpnp.fromfile.html @@ -13,7 +13,7 @@ - dpnp.fromfile — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fromfile — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fromfunction.html b/reference/generated/dpnp.fromfunction.html index b8bcb38151b..46141471c33 100644 --- a/reference/generated/dpnp.fromfunction.html +++ b/reference/generated/dpnp.fromfunction.html @@ -13,7 +13,7 @@ - dpnp.fromfunction — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fromfunction — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fromiter.html b/reference/generated/dpnp.fromiter.html index 82be8a1f2b4..96909ed0f92 100644 --- a/reference/generated/dpnp.fromiter.html +++ b/reference/generated/dpnp.fromiter.html @@ -13,7 +13,7 @@ - dpnp.fromiter — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fromiter — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.fromstring.html b/reference/generated/dpnp.fromstring.html index 36f9edbbab4..3881aed9f07 100644 --- a/reference/generated/dpnp.fromstring.html +++ b/reference/generated/dpnp.fromstring.html @@ -13,7 +13,7 @@ - dpnp.fromstring — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.fromstring — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.full.html b/reference/generated/dpnp.full.html index 51d108f7a57..0c81d6f6f77 100644 --- a/reference/generated/dpnp.full.html +++ b/reference/generated/dpnp.full.html @@ -13,7 +13,7 @@ - dpnp.full — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.full — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -130,6 +130,31 @@

dpnp.fulldpnp.full(shape, fill_value, *, dtype=None, order='C', like=None, device=None, usm_type=None, sycl_queue=None)[source]

Return a new array of given shape and type, filled with fill_value.

For full documentation refer to numpy.full.

+
+
Parameters:
+
    +

  • shape ({int, sequence of ints}) – Shape of the new array, e.g., (2, 3) or 2.

    • +

  • fill_value ({scalar, array_like}) – Fill value, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

    • +

  • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point +data type for the device where input array is allocated.

    • +

  • order ({"C", "F"}, optional) – Memory layout of the newly output array. Default: “C”.

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – Array of fill_value with the given shape, dtype, and order.

+
+
Return type:
+

dpnp.ndarray

+
+

Limitations

Parameter order is supported only with values "C" and "F". Parameter like is supported only with default value None. @@ -149,9 +174,24 @@

dpnp.fullExamples

>>> import dpnp as np
->>> x = np.full(4, 10)
->>> [i for i in x]
-[10, 10, 10, 10]
+>>> np.full(4, 10)
+array([10, 10, 10, 10])
+
+
+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.full(4, 10) # default case
+>>> x, x.device, x.usm_type
+(array([10, 10, 10, 10]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.full(4, 10, device="cpu")
+>>> y, y.device, y.usm_type
+(array([10, 10, 10, 10]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.full(4, 10, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([10, 10, 10, 10]), Device(level_zero:gpu:0), 'host')

diff --git a/reference/generated/dpnp.full_like.html b/reference/generated/dpnp.full_like.html index 22e5702efc5..1d087422aaf 100644 --- a/reference/generated/dpnp.full_like.html +++ b/reference/generated/dpnp.full_like.html @@ -13,7 +13,7 @@ - dpnp.full_like — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.full_like — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -127,12 +127,37 @@

dpnp.full_like

-dpnp.full_like(x1, /, fill_value, *, dtype=None, order='C', subok=False, shape=None, device=None, usm_type=None, sycl_queue=None)[source]
+dpnp.full_like(a, /, fill_value, *, dtype=None, order='C', subok=False, shape=None, device=None, usm_type=None, sycl_queue=None)[source]

Return a full array with the same shape and type as a given array.

For full documentation refer to numpy.full_like.

+
+
Parameters:
+
    +

  • a ({dpnp_array, usm_ndarray}) – The shape and dtype of a define these same attributes of the returned array.

    • +

  • fill_value ({scalar, array_like}) – Fill value, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

    • +

  • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point +data type for the device where input array is allocated.

    • +

  • order ({"C", "F"}, optional) – Memory layout of the newly output array. Default: “C”.

    • +

  • shape ({int, sequence of ints}) – Overrides the shape of the result.

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – Array of fill_value with the same shape and type as a.

+
+
Return type:
+

dpnp.ndarray

+
+

Limitations

-

Parameter x1 is supported as dpnp.dpnp.ndarray or dpctl.tensor.usm_ndarray -Parameter order is supported only with values "C" and "F". +

Parameter order is supported only with values "C" and "F". Parameter subok is supported only with default value False. Otherwise the function will be executed sequentially on CPU.

@@ -151,9 +176,24 @@

dpnp.full_likeExamples

>>> import dpnp as np
 >>> a = np.arange(6)
->>> x = np.full_like(a, 1)
->>> [i for i in x]
-[1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
+>>> np.full_like(a, 1)
+array([1, 1, 1, 1, 1, 1])
+
+
+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.full_like(a, 1) # default case
+>>> x, x.device, x.usm_type
+(array([1, 1, 1, 1, 1, 1]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.full_like(a, 1, device="cpu")
+>>> y, y.device, y.usm_type
+(array([1, 1, 1, 1, 1, 1]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.full_like(a, 1, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([1, 1, 1, 1, 1, 1]), Device(level_zero:gpu:0), 'host')

diff --git a/reference/generated/dpnp.geomspace.html b/reference/generated/dpnp.geomspace.html index c06566d5b98..1f146bed11d 100644 --- a/reference/generated/dpnp.geomspace.html +++ b/reference/generated/dpnp.geomspace.html @@ -13,7 +13,7 @@ - dpnp.geomspace — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.geomspace — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -127,15 +127,41 @@

dpnp.geomspace

-dpnp.geomspace(start, stop, /, num, *, dtype=None, device=None, usm_type=None, sycl_queue=None, endpoint=True, axis=0)[source]
+dpnp.geomspace(start, stop, /, num=50, *, dtype=None, device=None, usm_type=None, sycl_queue=None, endpoint=True, axis=0)[source]

Return numbers spaced evenly on a log scale (a geometric progression).

For full documentation refer to numpy.geomspace.

-
Returns:
-

out – num samples, equally spaced on a log scale.

+
Parameters:
+
    +

  • start (array_like) – The starting value of the sequence, in any form that can be converted to an array. +This includes scalars, lists, lists of tuples, tuples, tuples of tuples, +tuples of lists, and ndarrays.

    • +

  • stop (array_like) – The final value of the sequence, in any form that can be converted to an array. +This includes scalars, lists, lists of tuples, tuples, tuples of tuples, +tuples of lists, and ndarrays. If endpoint is False num + 1 values +are spaced over the interval in log-space, of which all but the last +(a sequence of length num) are returned.

    • +

  • num (int, optional) – Number of samples to generate. Default is 50.

    • +

  • dtype (dtype, optional) – The desired dtype for the array. If not given, a default dtype will be used that can represent +the values (by considering Promotion Type Rule and device capabilities when necessary.)

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +

  • endpoint (bool, optional) – If True, stop is the last sample. Otherwise, it is not included. Default is True.

    • +

  • axis (int, optional) – The axis in the result to store the samples. Relevant only if start or stop are array-like. +By default (0), the samples will be along a new axis inserted at the beginning. +Use -1 to get an axis at the end.

    • +
+
+
Returns:
+

out – num samples, equally spaced on a log scale.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

@@ -173,6 +199,22 @@

dpnp.geomspacearray([-1000., -100., -10., -1.])

+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.geomspace(1000, 1, num=4) # default case
+>>> x, x.device, x.usm_type
+(array([1000.,  100.,   10.,    1.]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.geomspace(1000, 1, num=4, device="cpu")
+>>> y, y.device, y.usm_type
+(array([1000.,  100.,   10.,    1.]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.geomspace(1000, 1, num=4, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([1000.,  100.,   10.,    1.]), Device(level_zero:gpu:0), 'host')
+
+
diff --git a/reference/generated/dpnp.get_include.html b/reference/generated/dpnp.get_include.html index 1aa626af82f..caff08efb14 100644 --- a/reference/generated/dpnp.get_include.html +++ b/reference/generated/dpnp.get_include.html @@ -13,7 +13,7 @@ - dpnp.get_include — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.get_include — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.gradient.html b/reference/generated/dpnp.gradient.html index cd7fa93b7f2..b31eb4e833f 100644 --- a/reference/generated/dpnp.gradient.html +++ b/reference/generated/dpnp.gradient.html @@ -13,7 +13,7 @@ - dpnp.gradient — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.gradient — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.greater.html b/reference/generated/dpnp.greater.html index 1d664308ce5..61d907690ce 100644 --- a/reference/generated/dpnp.greater.html +++ b/reference/generated/dpnp.greater.html @@ -13,7 +13,7 @@ - dpnp.greater — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.greater — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.greater_equal.html b/reference/generated/dpnp.greater_equal.html index 06e2fa95af9..19970cf2e1b 100644 --- a/reference/generated/dpnp.greater_equal.html +++ b/reference/generated/dpnp.greater_equal.html @@ -13,7 +13,7 @@ - dpnp.greater_equal — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.greater_equal — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.histogram.html b/reference/generated/dpnp.histogram.html index 91565fd0e3e..07107c41159 100644 --- a/reference/generated/dpnp.histogram.html +++ b/reference/generated/dpnp.histogram.html @@ -13,7 +13,7 @@ - dpnp.histogram — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.histogram — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.hstack.html b/reference/generated/dpnp.hstack.html index 795a03ab157..19696c266d7 100644 --- a/reference/generated/dpnp.hstack.html +++ b/reference/generated/dpnp.hstack.html @@ -13,7 +13,7 @@ - dpnp.hstack — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.hstack — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.hypot.html b/reference/generated/dpnp.hypot.html index c3ded0d74c8..321b90f68cf 100644 --- a/reference/generated/dpnp.hypot.html +++ b/reference/generated/dpnp.hypot.html @@ -13,7 +13,7 @@ - dpnp.hypot — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.hypot — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.identity.html b/reference/generated/dpnp.identity.html index 5920b61e745..6dd09526d21 100644 --- a/reference/generated/dpnp.identity.html +++ b/reference/generated/dpnp.identity.html @@ -13,7 +13,7 @@ - dpnp.identity — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.identity — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -132,12 +132,26 @@

dpnp.identitynumpy.identity.

-
Returns:
-

out – n x n array with its main diagonal set to one, +

Parameters:
+
    +

  • n (int) – Number of rows (and columns) in n x n output.

    • +

  • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point +data type for the device where input array is allocated.

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is “device”.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +
+
+
Returns:
+

out – n x n array with its main diagonal set to one, and all other elements 0.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

Limitations

@@ -162,6 +176,28 @@

dpnp.identity [0., 0., 1.]])

+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.identity(3) # default case
+>>> x, x.device, x.usm_type
+(array([[1.,  0.,  0.],
+        [0.,  1.,  0.],
+        [0.,  0.,  1.]]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.identity(3, device="cpu")
+>>> y, y.device, y.usm_type
+(array([[1.,  0.,  0.],
+        [0.,  1.,  0.],
+        [0.,  0.,  1.]]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.identity(3, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([[1.,  0.,  0.],
+        [0.,  1.,  0.],
+        [0.,  0.,  1.]]), Device(level_zero:gpu:0), 'host')
+
+
diff --git a/reference/generated/dpnp.iinfo.html b/reference/generated/dpnp.iinfo.html index 27e7cc5c532..1f3dfa33146 100644 --- a/reference/generated/dpnp.iinfo.html +++ b/reference/generated/dpnp.iinfo.html @@ -13,7 +13,7 @@ - dpnp.iinfo — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.iinfo — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.imag.html b/reference/generated/dpnp.imag.html index 7a68ac648d2..54c7f320909 100644 --- a/reference/generated/dpnp.imag.html +++ b/reference/generated/dpnp.imag.html @@ -13,7 +13,7 @@ - dpnp.imag — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.imag — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.indices.html b/reference/generated/dpnp.indices.html index 58415b75b22..7c2bcf3e7c1 100644 --- a/reference/generated/dpnp.indices.html +++ b/reference/generated/dpnp.indices.html @@ -13,7 +13,7 @@ - dpnp.indices — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.indices — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.inner.html b/reference/generated/dpnp.inner.html index 208a1753e67..1c6c394a6c8 100644 --- a/reference/generated/dpnp.inner.html +++ b/reference/generated/dpnp.inner.html @@ -13,7 +13,7 @@ - dpnp.inner — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.inner — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.invert.html b/reference/generated/dpnp.invert.html index 76ca4b7c2a0..081eaea70ea 100644 --- a/reference/generated/dpnp.invert.html +++ b/reference/generated/dpnp.invert.html @@ -13,7 +13,7 @@ - dpnp.invert — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.invert — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.isclose.html b/reference/generated/dpnp.isclose.html index 61a98129ddc..ee697b2cd40 100644 --- a/reference/generated/dpnp.isclose.html +++ b/reference/generated/dpnp.isclose.html @@ -13,7 +13,7 @@ - dpnp.isclose — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.isclose — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.isfinite.html b/reference/generated/dpnp.isfinite.html index 48e118b54f6..33e364d6265 100644 --- a/reference/generated/dpnp.isfinite.html +++ b/reference/generated/dpnp.isfinite.html @@ -13,7 +13,7 @@ - dpnp.isfinite — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.isfinite — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.isinf.html b/reference/generated/dpnp.isinf.html index d7cf979588c..fe2a6522e0b 100644 --- a/reference/generated/dpnp.isinf.html +++ b/reference/generated/dpnp.isinf.html @@ -13,7 +13,7 @@ - dpnp.isinf — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.isinf — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.isnan.html b/reference/generated/dpnp.isnan.html index e27ccb58267..a4720609796 100644 --- a/reference/generated/dpnp.isnan.html +++ b/reference/generated/dpnp.isnan.html @@ -13,7 +13,7 @@ - dpnp.isnan — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.isnan — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.isscalar.html b/reference/generated/dpnp.isscalar.html index f826e31bbae..9d4d8c60fa6 100644 --- a/reference/generated/dpnp.isscalar.html +++ b/reference/generated/dpnp.isscalar.html @@ -13,7 +13,7 @@ - dpnp.isscalar — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.isscalar — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.issubdtype.html b/reference/generated/dpnp.issubdtype.html index ec3500193ce..1edcce4b9fd 100644 --- a/reference/generated/dpnp.issubdtype.html +++ b/reference/generated/dpnp.issubdtype.html @@ -13,7 +13,7 @@ - dpnp.issubdtype — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.issubdtype — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.issubsctype.html b/reference/generated/dpnp.issubsctype.html index b49f08b169d..75a910f6bf7 100644 --- a/reference/generated/dpnp.issubsctype.html +++ b/reference/generated/dpnp.issubsctype.html @@ -13,7 +13,7 @@ - dpnp.issubsctype — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.issubsctype — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.kron.html b/reference/generated/dpnp.kron.html index 40ff6cf05b5..347ad58caea 100644 --- a/reference/generated/dpnp.kron.html +++ b/reference/generated/dpnp.kron.html @@ -13,7 +13,7 @@ - dpnp.kron — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.kron — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.left_shift.html b/reference/generated/dpnp.left_shift.html index a7c6dddd6c1..f167321ae8a 100644 --- a/reference/generated/dpnp.left_shift.html +++ b/reference/generated/dpnp.left_shift.html @@ -13,7 +13,7 @@ - dpnp.left_shift — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.left_shift — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.less.html b/reference/generated/dpnp.less.html index 2353dd628b6..9b352df6ba9 100644 --- a/reference/generated/dpnp.less.html +++ b/reference/generated/dpnp.less.html @@ -13,7 +13,7 @@ - dpnp.less — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.less — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.less_equal.html b/reference/generated/dpnp.less_equal.html index 3f8e5f17845..df21269f689 100644 --- a/reference/generated/dpnp.less_equal.html +++ b/reference/generated/dpnp.less_equal.html @@ -13,7 +13,7 @@ - dpnp.less_equal — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.less_equal — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.cholesky.html b/reference/generated/dpnp.linalg.cholesky.html index c2612e5d4f5..e68b6cff8ed 100644 --- a/reference/generated/dpnp.linalg.cholesky.html +++ b/reference/generated/dpnp.linalg.cholesky.html @@ -13,7 +13,7 @@ - dpnp.linalg.cholesky — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.cholesky — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.cond.html b/reference/generated/dpnp.linalg.cond.html index 1ff0434e853..d53fd988a23 100644 --- a/reference/generated/dpnp.linalg.cond.html +++ b/reference/generated/dpnp.linalg.cond.html @@ -13,7 +13,7 @@ - dpnp.linalg.cond — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.cond — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.det.html b/reference/generated/dpnp.linalg.det.html index 8e964977cf4..68752b4fa45 100644 --- a/reference/generated/dpnp.linalg.det.html +++ b/reference/generated/dpnp.linalg.det.html @@ -13,7 +13,7 @@ - dpnp.linalg.det — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.det — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.eig.html b/reference/generated/dpnp.linalg.eig.html index 2b2a6db4fdf..64fbd08f939 100644 --- a/reference/generated/dpnp.linalg.eig.html +++ b/reference/generated/dpnp.linalg.eig.html @@ -13,7 +13,7 @@ - dpnp.linalg.eig — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.eig — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.eigh.html b/reference/generated/dpnp.linalg.eigh.html index a77906abeaf..9337c0facd0 100644 --- a/reference/generated/dpnp.linalg.eigh.html +++ b/reference/generated/dpnp.linalg.eigh.html @@ -13,7 +13,7 @@ - dpnp.linalg.eigh — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.eigh — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.eigvals.html b/reference/generated/dpnp.linalg.eigvals.html index 7ffcef4082d..5213cb6c557 100644 --- a/reference/generated/dpnp.linalg.eigvals.html +++ b/reference/generated/dpnp.linalg.eigvals.html @@ -13,7 +13,7 @@ - dpnp.linalg.eigvals — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.eigvals — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.inv.html b/reference/generated/dpnp.linalg.inv.html index e485b605eb9..93548042f39 100644 --- a/reference/generated/dpnp.linalg.inv.html +++ b/reference/generated/dpnp.linalg.inv.html @@ -13,7 +13,7 @@ - dpnp.linalg.inv — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.inv — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.matrix_power.html b/reference/generated/dpnp.linalg.matrix_power.html index 03e90dbb6b8..ce695539c23 100644 --- a/reference/generated/dpnp.linalg.matrix_power.html +++ b/reference/generated/dpnp.linalg.matrix_power.html @@ -13,7 +13,7 @@ - dpnp.linalg.matrix_power — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.matrix_power — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.matrix_rank.html b/reference/generated/dpnp.linalg.matrix_rank.html index 001f7229b9e..bea4fe0fee4 100644 --- a/reference/generated/dpnp.linalg.matrix_rank.html +++ b/reference/generated/dpnp.linalg.matrix_rank.html @@ -13,7 +13,7 @@ - dpnp.linalg.matrix_rank — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.matrix_rank — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.multi_dot.html b/reference/generated/dpnp.linalg.multi_dot.html index fd66d557e69..42837bc9519 100644 --- a/reference/generated/dpnp.linalg.multi_dot.html +++ b/reference/generated/dpnp.linalg.multi_dot.html @@ -13,7 +13,7 @@ - dpnp.linalg.multi_dot — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.multi_dot — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.norm.html b/reference/generated/dpnp.linalg.norm.html index 9fea2f07cdb..dcf8191c895 100644 --- a/reference/generated/dpnp.linalg.norm.html +++ b/reference/generated/dpnp.linalg.norm.html @@ -13,7 +13,7 @@ - dpnp.linalg.norm — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.norm — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.qr.html b/reference/generated/dpnp.linalg.qr.html index 040510b038f..4eb11edd1be 100644 --- a/reference/generated/dpnp.linalg.qr.html +++ b/reference/generated/dpnp.linalg.qr.html @@ -13,7 +13,7 @@ - dpnp.linalg.qr — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.qr — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.slogdet.html b/reference/generated/dpnp.linalg.slogdet.html index 12ec6b53b97..800aed4a80b 100644 --- a/reference/generated/dpnp.linalg.slogdet.html +++ b/reference/generated/dpnp.linalg.slogdet.html @@ -13,7 +13,7 @@ - dpnp.linalg.slogdet — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.slogdet — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.solve.html b/reference/generated/dpnp.linalg.solve.html index 794d411afcc..9d51e14749f 100644 --- a/reference/generated/dpnp.linalg.solve.html +++ b/reference/generated/dpnp.linalg.solve.html @@ -13,7 +13,7 @@ - dpnp.linalg.solve — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.solve — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linalg.svd.html b/reference/generated/dpnp.linalg.svd.html index 7e5144805ba..0b8b5b28557 100644 --- a/reference/generated/dpnp.linalg.svd.html +++ b/reference/generated/dpnp.linalg.svd.html @@ -13,7 +13,7 @@ - dpnp.linalg.svd — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linalg.svd — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.linspace.html b/reference/generated/dpnp.linspace.html index c6b2639326b..53ad0ce36d8 100644 --- a/reference/generated/dpnp.linspace.html +++ b/reference/generated/dpnp.linspace.html @@ -13,7 +13,7 @@ - dpnp.linspace — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.linspace — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -131,8 +131,33 @@

dpnp.linspacenumpy.linspace.

-
Returns:
-

    +
    Parameters:
    +
      +

    • start (array_like) – The starting value of the sequence, in any form that can be converted to an array. +This includes scalars, lists, lists of tuples, tuples, tuples of tuples, +tuples of lists, and ndarrays.

      • +

    • stop (array_like) – The end value of the sequence, in any form that can be converted to an array. +This includes scalars, lists, lists of tuples, tuples, tuples of tuples, +tuples of lists, and ndarrays. If endpoint is set to False the sequence consists +of all but the last of num + 1 evenly spaced samples, so that stop is excluded.

      • +

    • dtype (dtype, optional) – The desired dtype for the array. If not given, a default dtype will be used that can represent +the values (by considering Promotion Type Rule and device capabilities when necessary.)

      • +

    • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

      • +

    • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

      • +

    • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

      • +

    • endpoint (bool, optional) – If True, stop is the last sample. Otherwise, it is not included. Default is True.

      • +

    • retstep (bool, optional) – If True, return (samples, step), where step is the spacing between samples.

      • +

    • axis (int, optional) – The axis in the result to store the samples. Relevant only if start or stop are array-like. +By default (0), the samples will be along a new axis inserted at the beginning. +Use -1 to get an axis at the end.

      • +
    +
    +
    Returns:
    +

    • out (dpnp.ndarray) – There are num equally spaced samples in the closed interval [start, stop] or the half-open interval [start, stop) (depending on whether endpoint is True or False).

      • @@ -167,6 +192,22 @@

      dpnp.linspace(array([2. , 2.25, 2.5 , 2.75, 3. ]), array(0.25))

+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.linspace(2.0, 3.0, num=3) # default case
+>>> x, x.device, x.usm_type
+(array([2. , 2.5, 3. ]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.linspace(2.0, 3.0, num=3, device="cpu")
+>>> y, y.device, y.usm_type
+(array([2. , 2.5, 3. ]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.linspace(2.0, 3.0, num=3, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([2. , 2.5, 3. ]), Device(level_zero:gpu:0), 'host')
+
+
diff --git a/reference/generated/dpnp.loadtxt.html b/reference/generated/dpnp.loadtxt.html index f87307c96d3..29a7f70e636 100644 --- a/reference/generated/dpnp.loadtxt.html +++ b/reference/generated/dpnp.loadtxt.html @@ -13,7 +13,7 @@ - dpnp.loadtxt — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.loadtxt — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.log.html b/reference/generated/dpnp.log.html index b234513cd1f..ff9dbaff132 100644 --- a/reference/generated/dpnp.log.html +++ b/reference/generated/dpnp.log.html @@ -13,7 +13,7 @@ - dpnp.log — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.log — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.log10.html b/reference/generated/dpnp.log10.html index 1835954f0f0..34d3902e961 100644 --- a/reference/generated/dpnp.log10.html +++ b/reference/generated/dpnp.log10.html @@ -13,7 +13,7 @@ - dpnp.log10 — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.log10 — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.log1p.html b/reference/generated/dpnp.log1p.html index 831a355b4c0..d2f11387f0d 100644 --- a/reference/generated/dpnp.log1p.html +++ b/reference/generated/dpnp.log1p.html @@ -13,7 +13,7 @@ - dpnp.log1p — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.log1p — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.log2.html b/reference/generated/dpnp.log2.html index 94fb87272cd..96fc930a4ed 100644 --- a/reference/generated/dpnp.log2.html +++ b/reference/generated/dpnp.log2.html @@ -13,7 +13,7 @@ - dpnp.log2 — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.log2 — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.logaddexp.html b/reference/generated/dpnp.logaddexp.html index adade224c0a..fc4c66b9045 100644 --- a/reference/generated/dpnp.logaddexp.html +++ b/reference/generated/dpnp.logaddexp.html @@ -13,7 +13,7 @@ - dpnp.logaddexp — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.logaddexp — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.logical_and.html b/reference/generated/dpnp.logical_and.html index ad36452cc8e..6d3a45d4182 100644 --- a/reference/generated/dpnp.logical_and.html +++ b/reference/generated/dpnp.logical_and.html @@ -13,7 +13,7 @@ - dpnp.logical_and — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.logical_and — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.logical_not.html b/reference/generated/dpnp.logical_not.html index 58ca5a1f161..0990191e6ff 100644 --- a/reference/generated/dpnp.logical_not.html +++ b/reference/generated/dpnp.logical_not.html @@ -13,7 +13,7 @@ - dpnp.logical_not — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.logical_not — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.logical_or.html b/reference/generated/dpnp.logical_or.html index fc5935304ca..325bc3984a8 100644 --- a/reference/generated/dpnp.logical_or.html +++ b/reference/generated/dpnp.logical_or.html @@ -13,7 +13,7 @@ - dpnp.logical_or — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.logical_or — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.logical_xor.html b/reference/generated/dpnp.logical_xor.html index 3f81026937c..55b77d1321b 100644 --- a/reference/generated/dpnp.logical_xor.html +++ b/reference/generated/dpnp.logical_xor.html @@ -13,7 +13,7 @@ - dpnp.logical_xor — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.logical_xor — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.logspace.html b/reference/generated/dpnp.logspace.html index 3db19ec87d5..08fbfc54770 100644 --- a/reference/generated/dpnp.logspace.html +++ b/reference/generated/dpnp.logspace.html @@ -13,7 +13,7 @@ - dpnp.logspace — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.logspace — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -131,11 +131,43 @@

dpnp.logspacenumpy.logspace.

-
Returns:
-

out – num samples, equally spaced on a log scale.

+
Parameters:
+
    +

  • start (array_like) – Input data, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. +base ** start is the starting value of the sequence.

    • +

  • stop (array_like) – Input data, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. +base ** stop is the final value of the sequence, unless endpoint is False. +In that case, num + 1 values are spaced over the interval in log-space, +of which all but the last (a sequence of length num) are returned.

    • +

  • num (int, optional) – Number of samples to generate. Default is 50.

    • +

  • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created. +The device can be None (the default), an OneAPI filter selector string, +an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, +an instance of dpctl.SyclQueue, or a Device object returned by +dpnp.dpnp_array.dpnp_array.device property.

    • +

  • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.

    • +

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • +

  • endpoint (bool, optional) – If True, stop is the last sample. Otherwise, it is not included. Default is True.

    • +

  • base (array_like, optional) – Input data, in any form that can be converted to an array. This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. +The base of the log space, in any form that can be converted to an array.This includes scalars, +lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays. +The step size between the elements in ln(samples) / ln(base) (or log_base(samples)) +is uniform. Default is 10.0.

    • +

  • dtype (dtype, optional) – The desired dtype for the array. If not given, a default dtype will be used that can represent +the values (by considering Promotion Type Rule and device capabilities when necessary.)

    • +

  • axis (int, optional) – The axis in the result to store the samples. Relevant only if start, stop, +or base are array-like. By default (0), the samples will be along a new axis inserted +at the beginning. Use -1 to get an axis at the end.

    • +
+
+
Returns:
+

out – num samples, equally spaced on a log scale.

-
Return type:
-

dpnp.ndarray

+
Return type:
+

dpnp.ndarray

@@ -168,6 +200,22 @@

dpnp.logspace [ 9. , 12.98024613, 18.72075441, 27. ]])

+

Creating an array on a different device or with a specified usm_type

+
>>> x = np.logspace(1.0, 3.0, num=3) # default case
+>>> x, x.device, x.usm_type
+(array([  10.,  100., 1000.]), Device(level_zero:gpu:0), 'device')
+
+
+
>>> y = np.logspace(1.0, 3.0, num=3, device="cpu")
+>>> y, y.device, y.usm_type
+(array([  10.,  100., 1000.]), Device(opencl:cpu:0), 'device')
+
+
+
>>> z = np.logspace(1.0, 3.0, num=3, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([  10.,  100., 1000.]), Device(level_zero:gpu:0), 'host')
+
+
diff --git a/reference/generated/dpnp.logsumexp.html b/reference/generated/dpnp.logsumexp.html index c2ca39083a0..4a13944476e 100644 --- a/reference/generated/dpnp.logsumexp.html +++ b/reference/generated/dpnp.logsumexp.html @@ -13,7 +13,7 @@ - dpnp.logsumexp — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.logsumexp — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.matmul.html b/reference/generated/dpnp.matmul.html index db50834ebd7..930aacd7a19 100644 --- a/reference/generated/dpnp.matmul.html +++ b/reference/generated/dpnp.matmul.html @@ -13,7 +13,7 @@ - dpnp.matmul — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.matmul — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.max.html b/reference/generated/dpnp.max.html index 595d64c2522..dc10273505b 100644 --- a/reference/generated/dpnp.max.html +++ b/reference/generated/dpnp.max.html @@ -13,7 +13,7 @@ - dpnp.max — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.max — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.maximum.html b/reference/generated/dpnp.maximum.html index 17f39222d45..cdb1765b7a0 100644 --- a/reference/generated/dpnp.maximum.html +++ b/reference/generated/dpnp.maximum.html @@ -13,7 +13,7 @@ - dpnp.maximum — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.maximum — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.mean.html b/reference/generated/dpnp.mean.html index 7e87e6b07d8..599efc8caad 100644 --- a/reference/generated/dpnp.mean.html +++ b/reference/generated/dpnp.mean.html @@ -13,7 +13,7 @@ - dpnp.mean — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.mean — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.median.html b/reference/generated/dpnp.median.html index 0592ae3b717..a011df7b949 100644 --- a/reference/generated/dpnp.median.html +++ b/reference/generated/dpnp.median.html @@ -13,7 +13,7 @@ - dpnp.median — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.median — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.meshgrid.html b/reference/generated/dpnp.meshgrid.html index fcdf5529c8d..9a7373dbbfa 100644 --- a/reference/generated/dpnp.meshgrid.html +++ b/reference/generated/dpnp.meshgrid.html @@ -13,7 +13,7 @@ - dpnp.meshgrid — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.meshgrid — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
diff --git a/reference/generated/dpnp.mgrid.html b/reference/generated/dpnp.mgrid.html index cc96184d5f4..0c152174cb1 100644 --- a/reference/generated/dpnp.mgrid.html +++ b/reference/generated/dpnp.mgrid.html @@ -13,7 +13,7 @@ - dpnp.mgrid — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + dpnp.mgrid — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
@@ -138,7 +138,7 @@

dpnp.mgriddpctl.SyclDevice corresponding to a non-partitioned SYCL device, an instance of dpctl.SyclQueue, or a Device object returned by dpnp.dpnp_array.dpnp_array.device property.

-

  • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array.

    • +

  • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is “device”.

  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.

    • @@ -164,18 +164,20 @@

    dpnp.mgrid [0, 1, 2, 3, 4]]])

    -
    >>> x = np.mgrid[-1:1:5j]
->>> x
-array([-1. , -0.5,  0. ,  0.5,  1. ])
->>> x.usm_type
-'device'
+
    Creating an array on a different device or with a specified usm_type
    
+
    >>> x = np.mgrid[-1:1:5j] # default case
+>>> x, x.device, x.usm_type
+(array([-1. , -0.5,  0. ,  0.5,  1. ]), Device(level_zero:gpu:0), 'device')
 
    
 
    
-
    >>> y = np.mgrid(usm_type="host")[-1:1:5j]
->>> y
-array([-1. , -0.5,  0. ,  0.5,  1. ])
->>> x.usm_type
-'host'
+
    >>> y = np.mgrid(device="cpu")[-1:1:5j]
+>>> y, y.device, y.usm_type
+(array([-1. , -0.5,  0. ,  0.5,  1. ]), Device(opencl:cpu:0), 'device')
+
    
+
    
+
    >>> z = np.mgrid(usm_type="host")[-1:1:5j]
+>>> z, z.device, z.usm_type
+(array([-1. , -0.5,  0. ,  0.5,  1. ]), Device(level_zero:gpu:0), 'host')
 
    
 
    
 
diff --git a/reference/generated/dpnp.min.html b/reference/generated/dpnp.min.html
index 49db0645fff..25c63a06f65 100644
--- a/reference/generated/dpnp.min.html
+++ b/reference/generated/dpnp.min.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.min — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.min — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
               
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.minimum.html b/reference/generated/dpnp.minimum.html
index 6684c6e37fb..a0e69289dbe 100644
--- a/reference/generated/dpnp.minimum.html
+++ b/reference/generated/dpnp.minimum.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.minimum — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.minimum — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.mod.html b/reference/generated/dpnp.mod.html
index a1dabf2f49a..cc43c6dd167 100644
--- a/reference/generated/dpnp.mod.html
+++ b/reference/generated/dpnp.mod.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.mod — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.mod — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.modf.html b/reference/generated/dpnp.modf.html
index f025976e4da..3678bc87d65 100644
--- a/reference/generated/dpnp.modf.html
+++ b/reference/generated/dpnp.modf.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.modf — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.modf — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.moveaxis.html b/reference/generated/dpnp.moveaxis.html
index f85bce04611..428d448f3d2 100644
--- a/reference/generated/dpnp.moveaxis.html
+++ b/reference/generated/dpnp.moveaxis.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.moveaxis — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.moveaxis — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.multiply.html b/reference/generated/dpnp.multiply.html
index fdc31c4c832..e36d218a4e4 100644
--- a/reference/generated/dpnp.multiply.html
+++ b/reference/generated/dpnp.multiply.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.multiply — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.multiply — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nanargmax.html b/reference/generated/dpnp.nanargmax.html
index d8ac597430e..58b8f73d56d 100644
--- a/reference/generated/dpnp.nanargmax.html
+++ b/reference/generated/dpnp.nanargmax.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nanargmax — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nanargmax — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nanargmin.html b/reference/generated/dpnp.nanargmin.html
index 0677cb2e8f8..291296a60a2 100644
--- a/reference/generated/dpnp.nanargmin.html
+++ b/reference/generated/dpnp.nanargmin.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nanargmin — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nanargmin — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nancumprod.html b/reference/generated/dpnp.nancumprod.html
index c11da5d00cd..4576234e978 100644
--- a/reference/generated/dpnp.nancumprod.html
+++ b/reference/generated/dpnp.nancumprod.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nancumprod — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nancumprod — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nancumsum.html b/reference/generated/dpnp.nancumsum.html
index 22fe020b1e8..12454e8b2df 100644
--- a/reference/generated/dpnp.nancumsum.html
+++ b/reference/generated/dpnp.nancumsum.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nancumsum — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nancumsum — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nanmax.html b/reference/generated/dpnp.nanmax.html
index 30bbddc9a2e..5b7f800355d 100644
--- a/reference/generated/dpnp.nanmax.html
+++ b/reference/generated/dpnp.nanmax.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nanmax — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nanmax — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nanmean.html b/reference/generated/dpnp.nanmean.html
index d2b4302b69a..cceeb03f3ef 100644
--- a/reference/generated/dpnp.nanmean.html
+++ b/reference/generated/dpnp.nanmean.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nanmean — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nanmean — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nanmin.html b/reference/generated/dpnp.nanmin.html
index d253586278a..3df5c0be65e 100644
--- a/reference/generated/dpnp.nanmin.html
+++ b/reference/generated/dpnp.nanmin.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nanmin — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nanmin — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nanprod.html b/reference/generated/dpnp.nanprod.html
index cc34e831bda..b710223d354 100644
--- a/reference/generated/dpnp.nanprod.html
+++ b/reference/generated/dpnp.nanprod.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nanprod — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nanprod — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nanstd.html b/reference/generated/dpnp.nanstd.html
index d1ea981f2c7..ebec626a86f 100644
--- a/reference/generated/dpnp.nanstd.html
+++ b/reference/generated/dpnp.nanstd.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nanstd — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nanstd — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nansum.html b/reference/generated/dpnp.nansum.html
index a9957d82bdc..0708aa89219 100644
--- a/reference/generated/dpnp.nansum.html
+++ b/reference/generated/dpnp.nansum.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nansum — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nansum — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
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             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nanvar.html b/reference/generated/dpnp.nanvar.html
index 37ae95d3541..9615a7a9dda 100644
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-                0.11.1+454.ge7f7a7cb
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diff --git a/reference/generated/dpnp.ndarray.sort.html b/reference/generated/dpnp.ndarray.sort.html
index 8a1b5119a2e..161eb57f663 100644
--- a/reference/generated/dpnp.ndarray.sort.html
+++ b/reference/generated/dpnp.ndarray.sort.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ndarray.sort — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ndarray.sort — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.ndarray.squeeze.html b/reference/generated/dpnp.ndarray.squeeze.html
index 60880f41d2a..0aafdc54e81 100644
--- a/reference/generated/dpnp.ndarray.squeeze.html
+++ b/reference/generated/dpnp.ndarray.squeeze.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ndarray.squeeze — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ndarray.squeeze — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.ndarray.std.html b/reference/generated/dpnp.ndarray.std.html
index ea00ba7142a..59a9f64b173 100644
--- a/reference/generated/dpnp.ndarray.std.html
+++ b/reference/generated/dpnp.ndarray.std.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ndarray.std — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ndarray.std — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.ndarray.strides.html b/reference/generated/dpnp.ndarray.strides.html
index 1d697b04386..e8383b18044 100644
--- a/reference/generated/dpnp.ndarray.strides.html
+++ b/reference/generated/dpnp.ndarray.strides.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ndarray.strides — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ndarray.strides — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.ndarray.sum.html b/reference/generated/dpnp.ndarray.sum.html
index f0723fe6f55..afddfda975b 100644
--- a/reference/generated/dpnp.ndarray.sum.html
+++ b/reference/generated/dpnp.ndarray.sum.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ndarray.sum — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ndarray.sum — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.ndarray.swapaxes.html b/reference/generated/dpnp.ndarray.swapaxes.html
index 0b849a0d5e4..b6830021621 100644
--- a/reference/generated/dpnp.ndarray.swapaxes.html
+++ b/reference/generated/dpnp.ndarray.swapaxes.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ndarray.swapaxes — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ndarray.swapaxes — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.ndarray.take.html b/reference/generated/dpnp.ndarray.take.html
index 56255103993..a309e698377 100644
--- a/reference/generated/dpnp.ndarray.take.html
+++ b/reference/generated/dpnp.ndarray.take.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ndarray.take — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ndarray.take — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.ndarray.transpose.html b/reference/generated/dpnp.ndarray.transpose.html
index 7d8fc344fd4..0d54d0ab0f6 100644
--- a/reference/generated/dpnp.ndarray.transpose.html
+++ b/reference/generated/dpnp.ndarray.transpose.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ndarray.transpose — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ndarray.transpose — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.ndarray.var.html b/reference/generated/dpnp.ndarray.var.html
index 2312e6e2e47..e73553d6948 100644
--- a/reference/generated/dpnp.ndarray.var.html
+++ b/reference/generated/dpnp.ndarray.var.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ndarray.var — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ndarray.var — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.negative.html b/reference/generated/dpnp.negative.html
index bbe1ac175a6..bbb5e6150f3 100644
--- a/reference/generated/dpnp.negative.html
+++ b/reference/generated/dpnp.negative.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.negative — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.negative — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.nonzero.html b/reference/generated/dpnp.nonzero.html
index d66d9cf630d..6586c791b5a 100644
--- a/reference/generated/dpnp.nonzero.html
+++ b/reference/generated/dpnp.nonzero.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.nonzero — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.nonzero — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.not_equal.html b/reference/generated/dpnp.not_equal.html
index 38808166abe..4d1b5ece8ac 100644
--- a/reference/generated/dpnp.not_equal.html
+++ b/reference/generated/dpnp.not_equal.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.not_equal — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.not_equal — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.ogrid.html b/reference/generated/dpnp.ogrid.html
index ca2aae87656..c760370dfcd 100644
--- a/reference/generated/dpnp.ogrid.html
+++ b/reference/generated/dpnp.ogrid.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ogrid — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ogrid — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
@@ -137,7 +137,7 @@ 
    dpnp.ogriddpctl.SyclDevice corresponding to a non-partitioned SYCL device,
 an instance of dpctl.SyclQueue, or a Device object returned by
 dpnp.dpnp_array.dpnp_array.device property.
    
-
  • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array.
    • 
+
  • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is “device”.
    • 
 
  • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.
    • 
 
 
@@ -159,18 +159,20 @@ 
    dpnp.ogrid        [4]]), array([[0, 1, 2, 3, 4]])]
 
    
 
    
-
    >>> x = np.ogrid[-1:1:5j]
->>> x
-array([-1. , -0.5,  0. ,  0.5,  1. ])
->>> x.usm_type
-'device'
+
    Creating an array on a different device or with a specified usm_type
    
+
    >>> x = np.ogrid[-1:1:5j] # default case
+>>> x, x.device, x.usm_type
+(array([-1. , -0.5,  0. ,  0.5,  1. ]), Device(level_zero:gpu:0), 'device')
 
    
 
    
-
    >>> y = np.ogrid(usm_type="host")[-1:1:5j]
->>> y
-array([-1. , -0.5,  0. ,  0.5,  1. ])
->>> x.usm_type
-'host'
+
    >>> y = np.ogrid(device="cpu")[-1:1:5j]
+>>> y, y.device, y.usm_type
+(array([-1. , -0.5,  0. ,  0.5,  1. ]), Device(opencl:cpu:0), 'device')
+
    
+
    
+
    >>> z = np.ogrid(usm_type="host")[-1:1:5j]
+>>> z, z.device, z.usm_type
+(array([-1. , -0.5,  0. ,  0.5,  1. ]), Device(level_zero:gpu:0), 'host')
 
    
 
    
 
diff --git a/reference/generated/dpnp.ones.html b/reference/generated/dpnp.ones.html
index d7ab7a033ba..6fd8431e01f 100644
--- a/reference/generated/dpnp.ones.html
+++ b/reference/generated/dpnp.ones.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ones — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ones — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
               
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
@@ -130,6 +130,29 @@ 
    dpnp.onesdpnp.ones(shape, *, dtype=None, order='C', like=None, device=None, usm_type='device', sycl_queue=None)[source]
 
    Return a new array of given shape and type, filled with ones.
    
 
    For full documentation refer to numpy.ones.
    
+
    
+
    Parameters:
    
+
      
+
    • shape ({int, sequence of ints}) – Shape of the new array, e.g., (2, 3) or 2.
      • 
+
    • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point
+data type for the device where input array is allocated.
      • 
+
    • order ({"C", "F"}, optional) – Memory layout of the newly output array. Default: “C”.
      • 
+
    • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created.
+The device can be None (the default), an OneAPI filter selector string,
+an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device,
+an instance of dpctl.SyclQueue, or a Device object returned by
+dpnp.dpnp_array.dpnp_array.device property.
      • 
+
    • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is “device”.
      • 
+
    • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.
      • 
+
    
+
    
+
    Returns:
    
+
    out – Array of ones with the given shape, dtype, and order.
    
+
    
+
    Return type:
    
+
    dpnp.ndarray
    
+
    
+
    
 
    Limitations
    
 
    Parameter order is supported only with values "C" and "F".
 Parameter like is supported only with default value None.
@@ -149,13 +172,30 @@ 
    dpnp.onesExamples
    
 
    >>> import dpnp as np
->>> [i for i in np.ones(5)]
-[1.0, 1.0, 1.0, 1.0, 1.0]
+>>> np.ones(5)
+array([1., 1., 1., 1., 1.])
 >>> x = np.ones((2, 1))
 >>> x.ndim, x.size, x.shape
 (2, 2, (2, 1))
->>> [i for i in x]
-[1.0, 1.0]
+>>> x
+array([[1.],
+       [1.]])
+
    
+
    
+
    Creating an array on a different device or with a specified usm_type
    
+
    >>> x = np.ones(3) # default case
+>>> x, x.device, x.usm_type
+(array([1., 1., 1.]), Device(level_zero:gpu:0), 'device')
+
    
+
    
+
    >>> y = np.ones(3, device="cpu")
+>>> y, y.device, y.usm_type
+(array([1., 1., 1.]), Device(opencl:cpu:0), 'device')
+
    
+
    
+
    >>> z = np.ones(3, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([1., 1., 1.]), Device(level_zero:gpu:0), 'host')
 
    
 
    
 
    
diff --git a/reference/generated/dpnp.ones_like.html b/reference/generated/dpnp.ones_like.html
index c9faccb32a8..5d22f128cd9 100644
--- a/reference/generated/dpnp.ones_like.html
+++ b/reference/generated/dpnp.ones_like.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ones_like — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.ones_like — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
@@ -127,13 +127,35 @@
 
    dpnp.ones_like
    
 
    
 
    
-dpnp.ones_like(x1, /, *, dtype=None, order='C', subok=False, shape=None, device=None, usm_type=None, sycl_queue=None)[source]
    
+dpnp.ones_like(a, /, *, dtype=None, order='C', subok=False, shape=None, device=None, usm_type=None, sycl_queue=None)[source]
 
    Return an array of ones with the same shape and type as a given array.
    
 
    For full documentation refer to numpy.ones_like.
    
+
    
+
    Parameters:
    
+
      
+
    • a ({dpnp_array, usm_ndarray}) – The shape and dtype of a define these same attributes of the returned array.
      • 
+
    • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point
+data type for the device where input array is allocated.
      • 
+
    • order ({"C", "F"}, optional) – Memory layout of the newly output array. Default: “C”.
      • 
+
    • shape ({int, sequence of ints}) – Overrides the shape of the result.
      • 
+
    • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created.
+The device can be None (the default), an OneAPI filter selector string,
+an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device,
+an instance of dpctl.SyclQueue, or a Device object returned by
+dpnp.dpnp_array.dpnp_array.device property.
      • 
+
    • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.
      • 
+
    • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.
      • 
+
    
+
    
+
    Returns:
    
+
    out – Array of ones with the same shape and type as a.
    
+
    
+
    Return type:
    
+
    dpnp.ndarray
    
+
    
+
    
 
    Limitations
    
-
    Parameter x1 is supported as dpnp.dpnp.ndarray or dpctl.tensor.usm_ndarray
-Parameter order is supported with values "C" or "F".
-Parameter subok is supported only with default value False.
+
    Parameter subok is supported only with default value False.
 Otherwise the function will be executed sequentially on CPU.
    
 
    
 
    See also
    
@@ -150,11 +172,27 @@ 
    dpnp.ones_likeExamples
    
 
    >>> import dpnp as np
->>> x = np.arange(6)
->>> [i for i in x]
-[0.0, 1.0, 2.0, 3.0, 4.0, 5.0]
->>> [i for i in np.ones_like(x)]
-[1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
+>>> x0 = np.arange(6)
+>>> x0
+array([0, 1, 2, 3, 4, 5])
+>>> np.ones_like(x0)
+array([1, 1, 1, 1, 1, 1])
+
    
+
    
+
    Creating an array on a different device or with a specified usm_type
    
+
    >>> x = np.ones_like(x0) # default case
+>>> x, x.device, x.usm_type
+(array([1, 1, 1, 1, 1, 1]), Device(level_zero:gpu:0), 'device')
+
    
+
    
+
    >>> y = np.ones_like(x0, device="cpu")
+>>> y, y.device, y.usm_type
+(array([1, 1, 1, 1, 1, 1]), Device(opencl:cpu:0), 'device')
+
    
+
    
+
    >>> z = np.ones_like(x0, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([1, 1, 1, 1, 1, 1]), Device(level_zero:gpu:0), 'host')
 
    
 
    
 
    
diff --git a/reference/generated/dpnp.outer.html b/reference/generated/dpnp.outer.html
index a48419720af..8905c16389a 100644
--- a/reference/generated/dpnp.outer.html
+++ b/reference/generated/dpnp.outer.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.outer — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.outer — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.partition.html b/reference/generated/dpnp.partition.html
index 0378929c284..0eb88944afd 100644
--- a/reference/generated/dpnp.partition.html
+++ b/reference/generated/dpnp.partition.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.partition — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.partition — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.place.html b/reference/generated/dpnp.place.html
index 9a9a67647cb..4bcaf50c4dd 100644
--- a/reference/generated/dpnp.place.html
+++ b/reference/generated/dpnp.place.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.place — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.place — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.positive.html b/reference/generated/dpnp.positive.html
index 045102dfbda..6ebe8dc3017 100644
--- a/reference/generated/dpnp.positive.html
+++ b/reference/generated/dpnp.positive.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.positive — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.positive — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
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@@ -24,7 +24,7 @@
   
         
         
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@@ -24,7 +24,7 @@
   
         
         
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index ac98ffebc02..11f53804005 100644
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@@ -13,7 +13,7 @@
     
     
   
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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@@ -13,7 +13,7 @@
     
     
   
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@@ -13,7 +13,7 @@
     
     
   
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@@ -13,7 +13,7 @@
     
     
   
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@@ -13,7 +13,7 @@
     
     
   
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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@@ -13,7 +13,7 @@
     
     
   
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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             Data Parallel Extension for NumPy
           
               
    
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@@ -24,7 +24,7 @@
   
         
         
-        
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@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
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diff --git a/reference/generated/dpnp.random.zipf.html b/reference/generated/dpnp.random.zipf.html
index 3edd6e3a899..2090db12d92 100644
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.random.zipf — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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@@ -24,7 +24,7 @@
   
         
         
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.ravel.html b/reference/generated/dpnp.ravel.html
index 40c0a8cbc80..4cb94b7cb7b 100644
--- a/reference/generated/dpnp.ravel.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.ravel — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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@@ -24,7 +24,7 @@
   
         
         
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.real.html b/reference/generated/dpnp.real.html
index 9793c6c1f7d..0b01e9079c9 100644
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.real — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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@@ -24,7 +24,7 @@
   
         
         
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.reciprocal.html b/reference/generated/dpnp.reciprocal.html
index 8044521228e..457d991979a 100644
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.reciprocal — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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@@ -24,7 +24,7 @@
   
         
         
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.reduce_hypot.html b/reference/generated/dpnp.reduce_hypot.html
index 202daa227c4..90cc0b8bc28 100644
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.reduce_hypot — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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@@ -24,7 +24,7 @@
   
         
         
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.remainder.html b/reference/generated/dpnp.remainder.html
index bbf81841e7c..fe795657a50 100644
--- a/reference/generated/dpnp.remainder.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.remainder — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.repeat.html b/reference/generated/dpnp.repeat.html
index 5c238cde695..6c962aefbfa 100644
--- a/reference/generated/dpnp.repeat.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.repeat — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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@@ -24,7 +24,7 @@
   
         
         
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.reshape.html b/reference/generated/dpnp.reshape.html
index 23b06bf1e16..fc9368cb8a9 100644
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.reshape — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.result_type.html b/reference/generated/dpnp.result_type.html
index c5b866b6736..41a53c15f40 100644
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.result_type — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.right_shift.html b/reference/generated/dpnp.right_shift.html
index 4600d96dcad..eadb54f20db 100644
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.right_shift — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.rint.html b/reference/generated/dpnp.rint.html
index 136b7e5f458..ce22f3f1ed5 100644
--- a/reference/generated/dpnp.rint.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.rint — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.roll.html b/reference/generated/dpnp.roll.html
index d714c614a4b..f1370e6d2ef 100644
--- a/reference/generated/dpnp.roll.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.roll — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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@@ -24,7 +24,7 @@
   
         
         
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.rollaxis.html b/reference/generated/dpnp.rollaxis.html
index ef743cb966f..d1db7b76385 100644
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.rollaxis — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.round.html b/reference/generated/dpnp.round.html
index ff2283bfa91..06472684998 100644
--- a/reference/generated/dpnp.round.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.round — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.row_stack.html b/reference/generated/dpnp.row_stack.html
index f89f2df3c59..7d91ea126df 100644
--- a/reference/generated/dpnp.row_stack.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.row_stack — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.rsqrt.html b/reference/generated/dpnp.rsqrt.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.rsqrt — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.searchsorted.html b/reference/generated/dpnp.searchsorted.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.searchsorted — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.select.html b/reference/generated/dpnp.select.html
index f6ab16c170c..97171a39399 100644
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-  dpnp.select — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.shape.html b/reference/generated/dpnp.shape.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.shape — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.sign.html b/reference/generated/dpnp.sign.html
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-  dpnp.sign — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.signbit.html b/reference/generated/dpnp.signbit.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.signbit — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.sin.html b/reference/generated/dpnp.sin.html
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-  dpnp.sin — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.sinh.html b/reference/generated/dpnp.sinh.html
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-  dpnp.sinh — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.sort.html b/reference/generated/dpnp.sort.html
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-  dpnp.sort — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.sqrt.html b/reference/generated/dpnp.sqrt.html
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-  dpnp.sqrt — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.square.html b/reference/generated/dpnp.square.html
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-  dpnp.square — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.squeeze.html b/reference/generated/dpnp.squeeze.html
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@@ -13,7 +13,7 @@
     
     
   
-  dpnp.squeeze — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.stack.html b/reference/generated/dpnp.stack.html
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-  dpnp.stack — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
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diff --git a/reference/generated/dpnp.std.html b/reference/generated/dpnp.std.html
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-  dpnp.std — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
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             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.subtract.html b/reference/generated/dpnp.subtract.html
index 16efe4df7ac..3ff96d01233 100644
--- a/reference/generated/dpnp.subtract.html
+++ b/reference/generated/dpnp.subtract.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.subtract — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.subtract — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.sum.html b/reference/generated/dpnp.sum.html
index a3ff531034e..d0d08447e07 100644
--- a/reference/generated/dpnp.sum.html
+++ b/reference/generated/dpnp.sum.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.sum — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.sum — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.swapaxes.html b/reference/generated/dpnp.swapaxes.html
index bd33bbf7323..d16b225d070 100644
--- a/reference/generated/dpnp.swapaxes.html
+++ b/reference/generated/dpnp.swapaxes.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.swapaxes — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.swapaxes — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.take.html b/reference/generated/dpnp.take.html
index cf7103e0e56..a67162404a0 100644
--- a/reference/generated/dpnp.take.html
+++ b/reference/generated/dpnp.take.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.take — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.take — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.take_along_axis.html b/reference/generated/dpnp.take_along_axis.html
index c46eefea909..157114b9e8c 100644
--- a/reference/generated/dpnp.take_along_axis.html
+++ b/reference/generated/dpnp.take_along_axis.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.take_along_axis — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.take_along_axis — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.tan.html b/reference/generated/dpnp.tan.html
index e80281ecefe..13f7d6eb483 100644
--- a/reference/generated/dpnp.tan.html
+++ b/reference/generated/dpnp.tan.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.tan — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.tan — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.tanh.html b/reference/generated/dpnp.tanh.html
index b2009b32d71..ef1ec945160 100644
--- a/reference/generated/dpnp.tanh.html
+++ b/reference/generated/dpnp.tanh.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.tanh — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.tanh — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.tensordot.html b/reference/generated/dpnp.tensordot.html
index 6bc1ae8a156..f1a07e8e44e 100644
--- a/reference/generated/dpnp.tensordot.html
+++ b/reference/generated/dpnp.tensordot.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.tensordot — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.tensordot — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.tile.html b/reference/generated/dpnp.tile.html
index b1568851060..77902582329 100644
--- a/reference/generated/dpnp.tile.html
+++ b/reference/generated/dpnp.tile.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.tile — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.tile — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.trace.html b/reference/generated/dpnp.trace.html
index 254063b17d5..e9e223695f1 100644
--- a/reference/generated/dpnp.trace.html
+++ b/reference/generated/dpnp.trace.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.trace — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.trace — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.transpose.html b/reference/generated/dpnp.transpose.html
index 2659969bc23..d0bf52255a8 100644
--- a/reference/generated/dpnp.transpose.html
+++ b/reference/generated/dpnp.transpose.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.transpose — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.transpose — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.trapz.html b/reference/generated/dpnp.trapz.html
index d397cc6fcda..de6a03d37f2 100644
--- a/reference/generated/dpnp.trapz.html
+++ b/reference/generated/dpnp.trapz.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.trapz — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.trapz — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.tri.html b/reference/generated/dpnp.tri.html
index 74eab930782..8b61273bcb1 100644
--- a/reference/generated/dpnp.tri.html
+++ b/reference/generated/dpnp.tri.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.tri — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.tri — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
@@ -131,11 +131,28 @@ 
    dpnp.tri
 
    An array with ones at and below the given diagonal and zeros elsewhere.
    
 
    For full documentation refer to numpy.tri.
    
 
    
-
    Returns:
    
-
    out – Array with its lower triangle filled with ones and zeros elsewhere.
    
+
    Parameters:
    
+
      
+
    • N (int) – Number of rows in the array.
      • 
+
    • M (int, optional) – Number of columns in the array. By default, M is taken equal to N.
      • 
+
    • k (int, optional) – The sub-diagonal at and below which the array is filled. k = 0 is the main diagonal,
+while k < 0 is below it, and k > 0 is above. The default is 0.
      • 
+
    • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point
+data type for the device where input array is allocated.
      • 
+
    • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created.
+The device can be None (the default), an OneAPI filter selector string,
+an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device,
+an instance of dpctl.SyclQueue, or a Device object returned by
+dpnp.dpnp_array.dpnp_array.device property.
      • 
+
    • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is “device”.
      • 
+
    • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.
      • 
+
    
+
    
+
    Returns:
    
+
    out – Array with its lower triangle filled with ones and zeros elsewhere.
    
 
    
-
    Return type:
    
-
    ndarray of shape (N, M)
    
+
    Return type:
    
+
    dpnp.ndarray of shape (N, M)
    
 
    
 
    
 
    Limitations
    
@@ -165,6 +182,28 @@ 
    dpnp.tri
        [1.,  1.,  0.,  0.,  0.]])
 
    
 
    
+
    Creating an array on a different device or with a specified usm_type
    
+
    >>> x = np.tri(3, 2) # default case
+>>> x, x.device, x.usm_type
+(array([[1., 0.],
+        [1., 1.],
+        [1., 1.]]), Device(level_zero:gpu:0), 'device')
+
    
+
    
+
    >>> y = np.tri(3, 2, device="cpu")
+>>> y, y.device, y.usm_type
+(array([[1., 0.],
+        [1., 1.],
+        [1., 1.]]), Device(opencl:cpu:0), 'device')
+
    
+
    
+
    >>> z = np.tri(3, 2, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([[1., 0.],
+        [1., 1.],
+        [1., 1.]]), Device(level_zero:gpu:0), 'host')
+
    
+
    
 
 
 
diff --git a/reference/generated/dpnp.tril.html b/reference/generated/dpnp.tril.html
index 18fba1b1980..55cdf329540 100644
--- a/reference/generated/dpnp.tril.html
+++ b/reference/generated/dpnp.tril.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.tril — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.tril — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
               
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
@@ -127,17 +127,32 @@
 
    dpnp.tril
    
 
    
 
    
-dpnp.tril(x1, /, *, k=0)[source]
    
+dpnp.tril(m, /, *, k=0)[source]
 
    Lower triangle of an array.
    
 
    Return a copy of an array with elements above the k-th diagonal zeroed.
    
 
    For full documentation refer to numpy.tril.
    
+
    
+
    Parameters:
    
+
      
+
    • m ({dpnp_array, usm_ndarray}, shape (…, M, N)) – Input array.
      • 
+
    • k (int, optional) – Diagonal above which to zero elements. k = 0 (the default) is the main diagonal,
+k < 0 is below it and k > 0 is above.
      • 
+
    
+
    
+
    Returns:
    
+
    out – Lower triangle of m, of same shape and dtype as m.
    
+
    
+
    Return type:
    
+
    dpnp.ndarray of shape (N, M)
    
+
    
+
    
 
    Limitations
    
-
    Parameter x1 is supported as dpnp.dpnp.ndarray or dpctl.tensor.usm_ndarray with two or more dimensions.
-Parameter k is supported only of integer data type.
+
    Parameter k is supported only of integer data type.
 Otherwise the function will be executed sequentially on CPU.
    
 
    Examples
    
 
    >>> import dpnp as np
->>> np.tril([[1,2,3],[4,5,6],[7,8,9],[10,11,12]], -1)
+>>> m = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]])
+>>> np.tril(m, k=-1)
 array([[ 0,  0,  0],
        [ 4,  0,  0],
        [ 7,  8,  0],
diff --git a/reference/generated/dpnp.tril_indices.html b/reference/generated/dpnp.tril_indices.html
index 887b413d3d9..5df5590b015 100644
--- a/reference/generated/dpnp.tril_indices.html
+++ b/reference/generated/dpnp.tril_indices.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.tril_indices — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.tril_indices — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.tril_indices_from.html b/reference/generated/dpnp.tril_indices_from.html
index c3e334f0c25..6dc3bbb8935 100644
--- a/reference/generated/dpnp.tril_indices_from.html
+++ b/reference/generated/dpnp.tril_indices_from.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.tril_indices_from — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.tril_indices_from — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.triu.html b/reference/generated/dpnp.triu.html
index 71f209ea181..ed8c27931a1 100644
--- a/reference/generated/dpnp.triu.html
+++ b/reference/generated/dpnp.triu.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.triu — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.triu — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
@@ -127,18 +127,33 @@
 
    dpnp.triu
    
 
    
 
    
-dpnp.triu(x1, /, *, k=0)[source]
    
+dpnp.triu(m, /, *, k=0)[source]
 
    Upper triangle of an array.
    
 
    Return a copy of a matrix with the elements below the k-th diagonal
 zeroed.
    
 
    For full documentation refer to numpy.triu.
    
+
    
+
    Parameters:
    
+
      
+
    • m ({dpnp_array, usm_ndarray}, shape (…, M, N)) – Input array.
      • 
+
    • k (int, optional) – Diagonal below which to zero elements. k = 0 (the default) is the main diagonal,
+k < 0 is below it and k > 0 is above.
      • 
+
    
+
    
+
    Returns:
    
+
    out – Upper triangle of m, of same shape and dtype as m.
    
+
    
+
    Return type:
    
+
    dpnp.ndarray of shape (N, M)
    
+
    
+
    
 
    Limitations
    
-
    Parameter x1 is supported as dpnp.dpnp.ndarray or dpctl.tensor.usm_ndarray with two or more dimensions.
-Parameter k is supported only of integer data type.
+
    Parameter k is supported only of integer data type.
 Otherwise the function will be executed sequentially on CPU.
    
 
    Examples
    
 
    >>> import dpnp as np
->>> np.triu([[1,2,3],[4,5,6],[7,8,9],[10,11,12]], -1)
+>>> m = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]])
+>>> np.triu(m, k=-1)
 array([[ 1,  2,  3],
        [ 4,  5,  6],
        [ 0,  8,  9],
diff --git a/reference/generated/dpnp.triu_indices.html b/reference/generated/dpnp.triu_indices.html
index bdccec25579..46111fd63a7 100644
--- a/reference/generated/dpnp.triu_indices.html
+++ b/reference/generated/dpnp.triu_indices.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.triu_indices — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.triu_indices — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.triu_indices_from.html b/reference/generated/dpnp.triu_indices_from.html
index 8c85746a703..3439d8b4259 100644
--- a/reference/generated/dpnp.triu_indices_from.html
+++ b/reference/generated/dpnp.triu_indices_from.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.triu_indices_from — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.triu_indices_from — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.true_divide.html b/reference/generated/dpnp.true_divide.html
index 3335346b7b3..15c9849d35a 100644
--- a/reference/generated/dpnp.true_divide.html
+++ b/reference/generated/dpnp.true_divide.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.true_divide — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.true_divide — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.trunc.html b/reference/generated/dpnp.trunc.html
index 91a8d8dd9d4..361cd992572 100644
--- a/reference/generated/dpnp.trunc.html
+++ b/reference/generated/dpnp.trunc.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.trunc — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.trunc — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.unique.html b/reference/generated/dpnp.unique.html
index d51ed3d5276..5ec81585f6d 100644
--- a/reference/generated/dpnp.unique.html
+++ b/reference/generated/dpnp.unique.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.unique — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.unique — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.unwrap.html b/reference/generated/dpnp.unwrap.html
index afbb9ada537..8d051956160 100644
--- a/reference/generated/dpnp.unwrap.html
+++ b/reference/generated/dpnp.unwrap.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.unwrap — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.unwrap — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.vander.html b/reference/generated/dpnp.vander.html
index 6f6d2ce271c..2b0c0cb4891 100644
--- a/reference/generated/dpnp.vander.html
+++ b/reference/generated/dpnp.vander.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.vander — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.vander — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
@@ -127,15 +127,31 @@
 
    dpnp.vander
    
 
    
 
    
-dpnp.vander(x1, /, N=None, increasing=False, *, device=None, usm_type=None, sycl_queue=None)[source]
    
+dpnp.vander(x, /, N=None, increasing=False, *, device=None, usm_type=None, sycl_queue=None)[source]
 
    Generate a Vandermonde matrix.
    
 
    For full documentation refer to numpy.vander.
    
 
    
-
    Returns:
    
-
    out – Vandermonde matrix.
    
+
    Parameters:
    
+
      
+
    • x (array_like) – 1-D input array, in any form that can be converted to an array. This includes scalars,
+lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.
      • 
+
    • N (int, optional) – Number of columns in the output. If N is not specified, a square array is returned (N = len(x)).
      • 
+
    • increasing (bool, optional) – Order of the powers of the columns. If True, the powers increase from left to right,
+if False (the default) they are reversed.
      • 
+
    • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created.
+The device can be None (the default), an OneAPI filter selector string,
+an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device,
+an instance of dpctl.SyclQueue, or a Device object returned by
+dpnp.dpnp_array.dpnp_array.device property.
      • 
+
    • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.
      • 
+
    • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.
      • 
+
    
+
    
+
    Returns:
    
+
    out – Vandermonde matrix.
    
 
    
-
    Return type:
    
-
    dpnp.ndarray
    
+
    Return type:
    
+
    dpnp.ndarray
    
 
    
 
    
 
    Limitations
    
@@ -143,30 +159,54 @@ 
    dpnp.vanderTypeError exception will be raised.
    
 
    Examples
    
 
    >>> import dpnp as np
->>> x = np.array([1, 2, 3, 5])
+>>> x0 = np.array([1, 2, 3, 5])
 >>> N = 3
->>> np.vander(x, N)
+>>> np.vander(x0, N)
 array([[ 1,  1,  1],
        [ 4,  2,  1],
        [ 9,  3,  1],
        [25,  5,  1]])
 
    
 
    
-
    >>> x = np.array([1, 2, 3, 5])
->>> np.vander(x)
+
    >>> np.vander(x0)
 array([[  1,   1,   1,   1],
        [  8,   4,   2,   1],
        [ 27,   9,   3,   1],
        [125,  25,   5,   1]])
 
    
 
    
-
    >>> np.vander(x, increasing=True)
+
    >>> np.vander(x0, increasing=True)
 array([[  1,   1,   1,   1],
        [  1,   2,   4,   8],
        [  1,   3,   9,  27],
        [  1,   5,  25, 125]])
 
    
 
    
+
    Creating an array on a different device or with a specified usm_type
    
+
    >>> x = np.vander(x0) # default case
+>>> x, x.device, x.usm_type
+(array([[  1,   1,   1,   1],
+        [  8,   4,   2,   1],
+        [ 27,   9,   3,   1],
+        [125,  25,   5,   1]]), Device(level_zero:gpu:0), 'device')
+
    
+
    
+
    >>> y = np.vander(x0, device="cpu")
+>>> y, y.device, y.usm_type
+(array([[  1,   1,   1,   1],
+        [  8,   4,   2,   1],
+        [ 27,   9,   3,   1],
+        [125,  25,   5,   1]]), Device(opencl:cpu:0), 'device')
+
    
+
    
+
    >>> z = np.vander(x0, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([[  1,   1,   1,   1],
+        [  8,   4,   2,   1],
+        [ 27,   9,   3,   1],
+        [125,  25,   5,   1]]), Device(level_zero:gpu:0), 'host')
+
    
+
    
 
    
 
 
diff --git a/reference/generated/dpnp.var.html b/reference/generated/dpnp.var.html
index b7863252034..8011aa8a1ce 100644
--- a/reference/generated/dpnp.var.html
+++ b/reference/generated/dpnp.var.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.var — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.var — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.vdot.html b/reference/generated/dpnp.vdot.html
index c3785f85e27..afdb662e02e 100644
--- a/reference/generated/dpnp.vdot.html
+++ b/reference/generated/dpnp.vdot.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.vdot — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.vdot — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.vstack.html b/reference/generated/dpnp.vstack.html
index c513881ab11..3bfde327a08 100644
--- a/reference/generated/dpnp.vstack.html
+++ b/reference/generated/dpnp.vstack.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.vstack — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.vstack — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.where.html b/reference/generated/dpnp.where.html
index 52771b2ab92..36db184b94d 100644
--- a/reference/generated/dpnp.where.html
+++ b/reference/generated/dpnp.where.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.where — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.where — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/generated/dpnp.zeros.html b/reference/generated/dpnp.zeros.html
index 4d357f1524c..5f6090069a8 100644
--- a/reference/generated/dpnp.zeros.html
+++ b/reference/generated/dpnp.zeros.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.zeros — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.zeros — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
@@ -130,6 +130,29 @@ 
    dpnp.zerosdpnp.zeros(shape, *, dtype=None, order='C', like=None, device=None, usm_type='device', sycl_queue=None)[source]
 
    Return a new array of given shape and type, filled with zeros.
    
 
    For full documentation refer to numpy.zeros.
    
+
    
+
    Parameters:
    
+
      
+
    • shape ({int, sequence of ints}) – Shape of the new array, e.g., (2, 3) or 2.
      • 
+
    • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point
+data type for the device where input array is allocated.
      • 
+
    • order ({"C", "F"}, optional) – Memory layout of the newly output array. Default: “C”.
      • 
+
    • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created.
+The device can be None (the default), an OneAPI filter selector string,
+an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device,
+an instance of dpctl.SyclQueue, or a Device object returned by
+dpnp.dpnp_array.dpnp_array.device property.
      • 
+
    • usm_type ({"device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is “device”.
      • 
+
    • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.
      • 
+
    
+
    
+
    Returns:
    
+
    out – Array of zeros with the given shape, dtype, and order.
    
+
    
+
    Return type:
    
+
    dpnp.ndarray
    
+
    
+
    
 
    Limitations
    
 
    Parameter order is supported only with values "C" and "F".
 Parameter like is supported only with default value None.
@@ -149,13 +172,30 @@ 
    dpnp.zerosExamples
    
 
    >>> import dpnp as np
->>> [i for i in np.zeros(5)]
-[0.0, 0.0, 0.0, 0.0, 0.0]
+>>> np.zeros(5)
+array([0., 0., 0., 0., 0.])
 >>> x = np.zeros((2, 1))
 >>> x.ndim, x.size, x.shape
 (2, 2, (2, 1))
->>> [i for i in x]
-[0.0, 0.0]
+>>> x
+array([[0.],
+       [0.]])
+
    
+
    
+
    Creating an array on a different device or with a specified usm_type
    
+
    >>> x = np.zeros(3) # default case
+>>> x, x.device, x.usm_type
+(array([0., 0., 0.]), Device(level_zero:gpu:0), 'device')
+
    
+
    
+
    >>> y = np.zeros(3, device="cpu")
+>>> y, y.device, y.usm_type
+(array([0., 0., 0.]), Device(opencl:cpu:0), 'device')
+
    
+
    
+
    >>> z = np.zeros(3, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([0., 0., 0.]), Device(level_zero:gpu:0), 'host')
 
    
 
    
 
    
diff --git a/reference/generated/dpnp.zeros_like.html b/reference/generated/dpnp.zeros_like.html
index fd9a0840573..009a148701c 100644
--- a/reference/generated/dpnp.zeros_like.html
+++ b/reference/generated/dpnp.zeros_like.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.zeros_like — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  dpnp.zeros_like — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
@@ -127,13 +127,35 @@
 
    dpnp.zeros_like
    
 
    
 
    
-dpnp.zeros_like(x1, /, *, dtype=None, order='C', subok=False, shape=None, device=None, usm_type=None, sycl_queue=None)[source]
    
+dpnp.zeros_like(a, /, *, dtype=None, order='C', subok=False, shape=None, device=None, usm_type=None, sycl_queue=None)[source]
 
    Return an array of zeros with the same shape and type as a given array.
    
 
    For full documentation refer to numpy.zeros_like.
    
+
    
+
    Parameters:
    
+
      
+
    • a ({dpnp_array, usm_ndarray}) – The shape and dtype of a define these same attributes of the returned array.
      • 
+
    • dtype (dtype, optional) – The desired dtype for the array, e.g., dpnp.int32. Default is the default floating point
+data type for the device where input array is allocated.
      • 
+
    • order ({"C", "F"}, optional) – Memory layout of the newly output array. Default: “C”.
      • 
+
    • shape ({int, sequence of ints}) – Overrides the shape of the result.
      • 
+
    • device ({None, string, SyclDevice, SyclQueue}, optional) – An array API concept of device where the output array is created.
+The device can be None (the default), an OneAPI filter selector string,
+an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device,
+an instance of dpctl.SyclQueue, or a Device object returned by
+dpnp.dpnp_array.dpnp_array.device property.
      • 
+
    • usm_type ({None, "device", "shared", "host"}, optional) – The type of SYCL USM allocation for the output array. Default is None.
      • 
+
    • sycl_queue ({None, SyclQueue}, optional) – A SYCL queue to use for output array allocation and copying.
      • 
+
    
+
    
+
    Returns:
    
+
    out – Array of zeros with the same shape and type as a.
    
+
    
+
    Return type:
    
+
    dpnp.ndarray
    
+
    
+
    
 
    Limitations
    
-
    Parameter x1 is supported as dpnp.dpnp.ndarray or dpctl.tensor.usm_ndarray
-Parameter order is supported with values "C" or "F".
-Parameter subok is supported only with default value False.
+
    Parameter subok is supported only with default value False.
 Otherwise the function will be executed sequentially on CPU.
    
 
    
 
    See also
    
@@ -150,11 +172,27 @@ 
    dpnp.zeros_likeExamples
    
 
    >>> import dpnp as np
->>> x = np.arange(6)
->>> [i for i in x]
-[0.0, 1.0, 2.0, 3.0, 4.0, 5.0]
->>> [i for i in np.zeros_like(x)]
-[0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+>>> x0 = np.arange(6)
+>>> x0
+array([0, 1, 2, 3, 4, 5])
+>>> np.zeros_like(x0)
+array([0, 0, 0, 0, 0, 0])
+
    
+
    
+
    Creating an array on a different device or with a specified usm_type
    
+
    >>> x = np.zeros_like(x0) # default case
+>>> x, x.device, x.usm_type
+(array([0, 0, 0, 0, 0, 0]), Device(level_zero:gpu:0), 'device')
+
    
+
    
+
    >>> y = np.zeros_like(x0, device="cpu")
+>>> y, y.device, y.usm_type
+(array([0, 0, 0, 0, 0, 0]), Device(opencl:cpu:0), 'device')
+
    
+
    
+
    >>> z = np.zeros_like(x0, usm_type="host")
+>>> z, z.device, z.usm_type
+(array([0, 0, 0, 0, 0, 0]), Device(level_zero:gpu:0), 'host')
 
    
 
    
 
    
diff --git a/reference/index.html b/reference/index.html
index 256a42be8fc..5e74a176fb8 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -13,7 +13,7 @@
     
     
   
-  API Reference — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  API Reference — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/indexing.html b/reference/indexing.html
index 845a32c1b00..02355d6c5fd 100644
--- a/reference/indexing.html
+++ b/reference/indexing.html
@@ -13,7 +13,7 @@
     
     
   
-  Array Indexing Routines — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  Array Indexing Routines — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
diff --git a/reference/linalg.html b/reference/linalg.html
index a5f6a4ea3e2..cde73361d05 100644
--- a/reference/linalg.html
+++ b/reference/linalg.html
@@ -13,7 +13,7 @@
     
     
   
-  Linear Algebra — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation
+  Linear Algebra — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
    
-                0.11.1+454.ge7f7a7cb
+                0.11.1+457.gac1fca74
               
    
 
    
   
@@ -129,7 +129,7 @@ 
    Matrix and vector products

    - + diff --git a/reference/logic.html b/reference/logic.html index 6472e748237..1b369a1ef2f 100644 --- a/reference/logic.html +++ b/reference/logic.html @@ -13,7 +13,7 @@ - Logic Functions — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Logic Functions — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
    diff --git a/reference/manipulation.html b/reference/manipulation.html index 1a85a82f8df..838b994292b 100644 --- a/reference/manipulation.html +++ b/reference/manipulation.html @@ -13,7 +13,7 @@ - Array Manipulation Routines — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Array Manipulation Routines — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
    diff --git a/reference/math.html b/reference/math.html index 7a0e287cda7..39a19550ef1 100644 --- a/reference/math.html +++ b/reference/math.html @@ -13,7 +13,7 @@ - Mathematical Functions — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Mathematical Functions — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
    diff --git a/reference/misc.html b/reference/misc.html index e456df60ade..a650bdb8060 100644 --- a/reference/misc.html +++ b/reference/misc.html @@ -13,7 +13,7 @@ - Miscellaneous routines — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Miscellaneous routines — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
    diff --git a/reference/ndarray.html b/reference/ndarray.html index e2d0f656060..f3bfa9d0ffa 100644 --- a/reference/ndarray.html +++ b/reference/ndarray.html @@ -13,7 +13,7 @@ - Multi-Dimensional Array (ndarray) — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Multi-Dimensional Array (ndarray) — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
    diff --git a/reference/pad.html b/reference/pad.html index 5848c242ed0..e909a99c3bc 100644 --- a/reference/pad.html +++ b/reference/pad.html @@ -13,7 +13,7 @@ - Padding — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Padding — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -44,7 +44,7 @@ Data Parallel Extension for NumPy
    - 0.11.1+454.ge7f7a7cb + 0.11.1+457.gac1fca74
    diff --git a/reference/polynomials.html b/reference/polynomials.html index 7bf7f4ca524..970c83a5234 100644 --- a/reference/polynomials.html +++ b/reference/polynomials.html @@ -13,7 +13,7 @@ - Polynomials — Data Parallel Extension for NumPy 0.11.1+454.ge7f7a7cb documentation + Polynomials — Data Parallel Extension for NumPy 0.11.1+457.gac1fca74 documentation @@ -24,7 +24,7 @@ - + @@ -44,7 +44,7 @@ Data Parallel Extension for NumPy
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85, 99, 100, 101, 104, 105, 106, 107, 109, 110, 111, 112, 113, 114, 115, 116, 138, 324, 431], "otherwis": [3, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 74, 77, 78, 79, 80, 81, 82, 84, 85, 88, 89, 90, 91, 92, 93, 95, 96, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 123, 124, 125, 126, 127, 134, 135, 138, 139, 140, 143, 144, 148, 149, 150, 151, 152, 153, 158, 159, 160, 178, 179, 180, 181, 182, 183, 184, 185, 186, 188, 190, 191, 192, 193, 196, 197, 198, 199, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 264, 276, 292, 305, 306, 307, 309, 310, 311, 313, 314, 315, 316, 319, 324, 325, 326, 328, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 343, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 364, 365, 366, 367, 368, 369, 370, 371, 372, 375, 376, 377, 379, 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28, 29, 30, 43, 56, 57, 67, 70, 71, 74, 77, 79, 82, 83, 85, 120, 121, 122, 125, 126, 138, 142, 147, 148, 171, 188, 190, 191, 192, 193, 194, 196, 197, 202, 203, 204, 205, 206, 207, 208, 210, 211, 212, 261, 262, 263, 270, 280, 282, 287, 288, 298, 300, 302, 304, 318, 319, 320, 376, 378, 383, 384, 386, 395, 399, 400, 402, 404, 405, 408, 409, 410, 412, 415, 418, 425, 427, 438], "limit": [3, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 34, 35, 36, 38, 45, 46, 47, 48, 49, 50, 52, 53, 55, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 77, 78, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 134, 135, 138, 139, 140, 143, 144, 145, 148, 149, 150, 151, 152, 153, 158, 159, 160, 162, 165, 172, 174, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 189, 190, 191, 192, 193, 196, 197, 198, 199, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 264, 266, 305, 306, 307, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 321, 323, 324, 325, 326, 328, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 343, 346, 347, 349, 350, 352, 355, 358, 360, 361, 362, 363, 364, 366, 367, 368, 369, 370, 371, 372, 375, 377, 379, 381, 382, 385, 387, 388, 389, 391, 392, 393, 394, 395, 396, 397, 400, 401, 402, 404, 406, 407, 408, 410, 412, 413, 414, 417, 420, 421, 423, 424, 425, 428, 429, 430], "To": 4, "program": [4, 123], "beyond": [4, 383], "cpu": [4, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 31, 45, 46, 47, 48, 52, 53, 58, 59, 62, 64, 65, 66, 68, 69, 70, 71, 78, 80, 81, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95, 96, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 123, 124, 125, 126, 127, 134, 135, 138, 139, 140, 143, 144, 148, 149, 150, 151, 152, 153, 158, 159, 160, 178, 179, 180, 181, 182, 183, 184, 185, 186, 191, 193, 197, 198, 199, 201, 204, 205, 209, 305, 306, 307, 309, 310, 311, 313, 314, 315, 316, 319, 375, 377, 381, 382, 385, 387, 391, 392, 393, 394, 396, 397, 401, 404, 406, 407, 408, 412, 413, 414, 417, 420, 421, 428, 429, 430], "you": [4, 405, 438], "need": [4, 137, 405], "appropri": [4, 28, 29, 137, 188, 190, 196, 202, 203, 206, 208, 324, 352, 355, 376, 438], "hardwar": 4, "work": [4, 31, 39, 72, 198, 322, 405, 426, 438], "fine": 4, "laptop": 4, "graphic": 4, "In": [4, 28, 29, 161, 207, 319, 324, 368, 379, 404], "major": [4, 34, 35, 36, 38, 82, 264, 276, 373], "case": [4, 28, 29, 43, 79, 175, 209, 316, 317, 379], "your": 4, "window": 4, "alreadi": [4, 35, 40, 41, 42], "ha": [4, 18, 30, 43, 45, 46, 47, 48, 84, 94, 104, 109, 131, 142, 146, 149, 173, 175, 188, 192, 207, 210, 211, 212, 319, 374, 375, 376, 378, 384, 398, 399, 400, 402, 403, 409, 425, 438], "all": [4, 6, 9, 15, 19, 33, 43, 56, 67, 79, 82, 83, 84, 92, 93, 95, 120, 121, 122, 142, 144, 161, 202, 203, 206, 208, 211, 264, 267, 273, 286, 317, 326, 383, 386, 396, 398, 427, 438], "necessari": [4, 40, 63, 192, 207, 210, 211, 212, 379, 400, 402, 425], "But": [4, 84], "want": [4, 405], "up": [4, 84, 122], "date": 4, "alwai": [4, 30, 34, 82, 210, 212, 264, 379, 400, 425], "updat": 4, "latest": [4, 128], "follow": [4, 43, 84, 94, 118, 145, 438, 442], "instruct": 4, "step": [4, 20, 136, 176, 187], "8": [4, 13, 15, 40, 52, 55, 63, 74, 75, 79, 84, 120, 136, 146, 150, 163, 173, 175, 176, 187, 204, 315, 316, 318, 324, 348, 367, 374, 383, 387, 393, 404, 408, 412, 414, 417, 424, 428], "9": [4, 13, 40, 55, 63, 74, 75, 80, 82, 98, 124, 136, 175, 187, 201, 278, 318, 324, 326, 328, 348, 374, 383, 396, 401, 408, 414, 417, 420, 424, 428], "10": [4, 13, 22, 24, 28, 29, 43, 55, 61, 71, 75, 79, 82, 84, 95, 134, 136, 141, 146, 158, 178, 179, 180, 181, 187, 188, 193, 201, 292, 318, 320, 324, 326, 336, 348, 376, 380, 381, 383, 385, 399, 405, 414, 417, 428], "If": [4, 15, 28, 29, 30, 37, 43, 55, 57, 79, 81, 82, 84, 94, 118, 120, 142, 146, 147, 161, 169, 170, 171, 175, 188, 190, 192, 194, 196, 202, 203, 206, 207, 208, 210, 211, 212, 264, 294, 296, 320, 324, 346, 368, 374, 375, 376, 379, 383, 386, 395, 396, 398, 399, 400, 402, 403, 405, 409, 411, 425, 427, 438], "yet": [4, 6], "easiest": 4, "It": [4, 28, 29, 55, 188, 190, 192, 196, 202, 203, 206, 207, 208, 210, 211, 212, 376, 400, 402, 425], "essenti": 4, "machin": [4, 118, 145], "optim": [4, 87], "includ": [4, 28, 29, 37, 43, 137, 187, 188, 190, 192, 196, 202, 203, 206, 207, 208, 210, 211, 212, 317, 324, 368, 376, 400, 402, 425], "anoth": [4, 63, 82, 128, 269, 288, 319, 384], "vendor": 4, "too": 4, "manual": [4, 84, 409], "shown": 4, "next": [4, 118], "section": [4, 84, 438], "recommend": [4, 306, 409], "org": 4, "channel": 4, "command": 4, "forg": 4, "pip": 4, "http": [4, 128], "pypi": 4, "simpl": [4, 186, 442], "These": [4, 84, 94, 200, 438, 442], "its": [4, 6, 15, 30, 31, 43, 58, 59, 82, 99, 105, 118, 143, 144, 165, 166, 192, 207, 210, 212, 303, 361, 373, 376, 379, 385, 395, 400, 411, 413, 425, 438], "depend": [4, 165, 171, 175, 176, 389, 428], "control": [4, 51, 57, 63, 82, 142, 264, 386, 399, 427], "requir": [4, 6, 32, 36, 38, 82, 84, 147, 264], "compil": [4, 84, 137], "runtim": 4, "onemkl": 4, "befor": [4, 30, 57, 82, 121, 122, 188, 210, 211, 212, 286, 296, 376, 383, 384, 395, 400, 402, 409, 425], "strongli": [4, 409], "advis": 4, "version": [4, 82, 84, 275, 306], "activ": 4, "local": 4, "environ": 4, "env": 4, "And": [4, 75, 82, 264], "sourc": [4, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 305, 306, 307, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430], "recip": 4, "finanli": 4, "setuptool": 4, "o": [4, 84], "On": 4, "linux": 4, "cython": 4, "dpcpp_linux": 4, "mkl": 4, "devel": 4, "dpcpp": 4, "tbb": 4, "onedpl": 4, "cmake": 4, "ninja": 4, "pytest": 4, "dpcpp_win": 4, "setup": 4, "py": 4, "g": [4, 82, 84, 299, 324], "dcmake_c_compil": 4, "path": 4, "icx": 4, "dcmake_cxx_compil": 4, "icpx": 4, "script": 4, "build_loc": 4, "suit": 4, "element": [4, 11, 12, 13, 14, 15, 18, 19, 21, 22, 23, 24, 25, 26, 27, 30, 31, 33, 43, 44, 45, 46, 47, 48, 52, 53, 55, 58, 59, 62, 63, 65, 66, 70, 71, 79, 80, 82, 84, 85, 90, 92, 93, 95, 96, 98, 120, 121, 122, 123, 124, 125, 126, 127, 139, 140, 143, 144, 146, 147, 149, 150, 151, 152, 153, 158, 159, 160, 161, 178, 179, 180, 181, 182, 183, 184, 185, 186, 188, 190, 191, 194, 196, 197, 198, 199, 201, 204, 205, 206, 208, 209, 210, 211, 212, 259, 260, 267, 268, 270, 272, 273, 276, 278, 279, 281, 283, 285, 286, 291, 292, 293, 295, 298, 299, 302, 304, 305, 306, 307, 313, 314, 315, 316, 317, 319, 321, 373, 374, 375, 376, 377, 378, 379, 381, 382, 383, 384, 385, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 400, 401, 402, 404, 406, 407, 409, 414, 417, 420, 421, 422, 425, 428, 438, 442], "asarrai": [4, 6, 34, 39], "y": [4, 36, 38, 40, 49, 61, 68, 69, 81, 82, 84, 94, 131, 138, 194, 195, 199, 269, 292, 303, 308, 396, 412, 428], "locat": [4, 137, 335, 337], "same": [4, 13, 15, 26, 30, 31, 33, 36, 38, 39, 43, 45, 47, 48, 50, 56, 57, 62, 72, 79, 80, 81, 82, 83, 89, 90, 94, 96, 124, 125, 126, 127, 128, 135, 139, 140, 142, 143, 158, 159, 160, 177, 182, 183, 184, 185, 186, 190, 191, 192, 196, 197, 198, 201, 206, 207, 208, 210, 211, 212, 264, 292, 307, 310, 311, 315, 319, 320, 322, 324, 346, 352, 368, 373, 375, 377, 378, 381, 383, 384, 386, 395, 396, 397, 398, 399, 400, 401, 402, 405, 416, 419, 420, 425, 426, 427, 430], "shape": [4, 6, 28, 29, 32, 33, 36, 42, 43, 49, 50, 52, 55, 57, 62, 64, 68, 69, 75, 79, 82, 83, 84, 88, 89, 93, 94, 96, 120, 131, 134, 135, 142, 147, 163, 167, 169, 173, 174, 175, 183, 184, 185, 186, 188, 189, 190, 192, 194, 195, 196, 200, 202, 203, 206, 207, 208, 210, 211, 212, 264, 292, 297, 303, 308, 309, 310, 319, 320, 324, 333, 336, 341, 342, 347, 351, 352, 353, 354, 355, 356, 357, 359, 364, 365, 371, 373, 375, 376, 378, 379, 383, 384, 386, 387, 395, 396, 397, 398, 399, 400, 402, 404, 409, 411, 413, 418, 425, 427, 429, 430, 431, 442], "0": [4, 6, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 40, 41, 42, 43, 44, 51, 53, 55, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 73, 74, 75, 77, 78, 79, 80, 82, 84, 85, 88, 89, 90, 91, 92, 94, 95, 97, 98, 101, 115, 118, 120, 121, 122, 123, 124, 125, 126, 127, 135, 136, 138, 141, 144, 147, 148, 151, 152, 153, 161, 165, 167, 173, 176, 177, 178, 179, 180, 181, 184, 186, 187, 189, 190, 191, 192, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 269, 271, 273, 277, 278, 290, 293, 296, 298, 299, 300, 303, 304, 306, 308, 309, 310, 315, 316, 317, 318, 319, 320, 323, 324, 326, 331, 333, 334, 335, 337, 338, 339, 341, 342, 343, 346, 348, 349, 350, 351, 354, 356, 357, 358, 359, 362, 365, 367, 368, 369, 375, 377, 378, 382, 383, 384, 385, 387, 389, 390, 391, 393, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 405, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 425, 428, 429, 430], "expect": [4, 18, 52, 62, 84, 93, 188, 192, 207, 210, 211, 212, 375, 376, 387, 400, 402, 425], "comput": [4, 26, 31, 43, 45, 46, 47, 48, 53, 79, 94, 98, 99, 100, 101, 102, 104, 105, 106, 107, 109, 110, 111, 112, 113, 114, 115, 116, 123, 124, 141, 147, 148, 149, 162, 163, 164, 166, 167, 170, 171, 172, 173, 175, 183, 184, 185, 186, 188, 190, 192, 193, 196, 198, 206, 207, 208, 210, 211, 212, 376, 377, 382, 385, 387, 400, 402, 407, 408, 421, 425], "empti": [4, 6, 32, 82, 89, 134, 135, 211, 273, 309, 310, 429, 430], "found": [4, 438], "here": [6, 30, 84, 395], "correspond": [6, 28, 29, 37, 55, 57, 82, 147, 165, 195, 272, 308, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 383, 390, 400, 411, 425, 438], "column": [6, 34, 35, 36, 38, 56, 57, 82, 83, 121, 122, 142, 165, 170, 175, 264, 276, 373, 386, 399, 415, 418, 427], "v1": 6, "23": [6, 324], "v0": 6, "11": [6, 28, 29, 43, 66, 75, 82, 138, 292, 343, 352, 385, 394, 414, 417], "454": 6, "ge7f7a7cb": 6, "v9": 6, "397": 6, "233": 6, "299": 6, "56": 6, "36": 6, "47": 6, "20": [6, 147, 158, 320, 326, 341, 405], "15": [6, 28, 29, 71, 75, 179, 348], "16": [6, 45, 75, 84, 136, 138, 201, 315, 406], "18": [6, 84, 85, 187], "51": 6, "48": [6, 204], "49": 6, "total": [6, 67, 82, 283, 400, 425], "542": 6, "350": 6, "429": 6, "ab": [6, 12], "absolut": [6, 11, 18, 98, 173, 210, 212, 317, 400, 425], "add": [6, 84], "add_docstr": 6, "add_newdoc": 6, "add_newdoc_ufunc": 6, "allclos": [6, 33, 150, 167, 174, 175], "alltru": 6, "amax": [6, 190], "amin": [6, 196], "angl": [6, 25, 26, 72, 73, 322, 323, 423], "apply_along_axi": 6, "apply_over_ax": 6, "arcco": [6, 22, 23, 25, 26, 65], "arccosh": [6, 21, 24, 27, 66], "arcsin": [6, 21, 24, 25, 26, 393], "arcsinh": [6, 22, 23, 27, 394], "arctan": [6, 18, 21, 23, 26, 27, 406], "arctan2": [6, 18, 25], "arctanh": [6, 22, 24, 25, 26, 407], "argmax": [6, 29, 82, 202, 320, 405, 438], "argmin": [6, 28, 82, 203, 405, 438], "argpartit": [6, 30, 438], "argsort": [6, 82, 395, 405, 411, 438], "argwher": 6, "around": [6, 82, 136, 293, 319, 385], "array2str": 6, "array_equ": 6, "array_equiv": [6, 33], "array_repr": 6, "array_split": [6, 57], "array_str": 6, "asanyarrai": [6, 35, 38], "asarray_chkfinit": [6, 34, 35], "ascontiguousarrai": [6, 34, 35, 38], "asfarrai": [6, 34, 35], "asfortranarrai": [6, 34, 35, 36], "asmatrix": 6, "atleast_1d": [6, 41, 42, 94], "atleast_2d": [6, 40, 42, 94], "atleast_3d": [6, 40, 41, 94], "averag": [6, 82, 192, 207, 281, 402, 442], "bartlett": 6, "base_repr": 6, "binary_repr": 6, "bincount": 6, "bitwise_and": [6, 46, 47, 48, 149, 183], "bitwise_not": 6, "bitwise_or": [6, 45, 46, 48, 149, 185], "bitwise_xor": [6, 45, 46, 47, 149, 186], "blackman": 6, "block": [6, 57, 83, 142, 386, 399, 427], "bmat": 6, "broadcast_arrai": [6, 50], "broadcast_shap": 6, "broadcast_to": [6, 49, 409], "busday_count": 6, "busday_offset": 6, "byte_bound": 6, "can_cast": [6, 442], "cbrt": [6, 396], "ceil": [6, 31, 123, 124, 382, 385, 421], "choos": [6, 18, 25, 26, 82, 438], "clip": [6, 82, 319, 404, 438], "column_stack": [6, 57, 83, 142, 386, 399, 427], "common_typ": 6, "compare_chararrai": 6, "compress": [6, 404, 438], "concaten": [6, 56, 83, 142, 386, 399, 405, 427], "conj": [6, 82, 146, 161, 317, 374], "conjug": [6, 58, 81, 82, 146, 161, 165, 189, 267, 317, 374], "convolv": [6, 64], "copi": [6, 30, 32, 35, 36, 37, 38, 40, 41, 42, 63, 82, 84, 147, 194, 195, 219, 264, 276, 278, 286, 292, 294, 308, 312, 314, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 365, 368, 379, 395, 398, 414, 417, 438], "copysign": [6, 305, 314], "copyto": [6, 82, 269], "corrcoef": [6, 68], "correl": [6, 442], "co": [6, 21, 66, 393, 406], "cosh": [6, 22, 65, 394, 407], "count_nonzero": [6, 306], "cov": [6, 342], "cross": [6, 64], "cumprod": [6, 204, 438], "cumproduct": 6, "cumsum": [6, 79, 82, 205, 402, 438], "datetime_as_str": 6, "datetime_data": 6, "deg2rad": [6, 322, 323, 423], "degre": [6, 18, 72, 210, 212, 322, 323, 366, 400, 423, 425], "delet": 6, "deprec": 6, "deprecate_with_doc": 6, "diag": [6, 77, 121, 122, 144, 175], "diag_indic": [6, 76, 117], "diag_indices_from": [6, 75, 117], "diagflat": [6, 74], "diagon": [6, 74, 75, 76, 77, 82, 97, 117, 144, 161, 410, 413, 414, 415, 416, 417, 418, 419, 438], "diff": [6, 71, 85, 138, 141], "digit": [6, 118], "disp": 6, "divid": [6, 83, 124, 127, 198, 377, 420], "divmod": [6, 438], "dot": [6, 82, 86, 87, 148, 161, 167, 168, 170, 174, 175, 189, 408, 426], "dsplit": [6, 57, 83], "dstack": [6, 56, 57, 142, 386, 399, 427], "ediff1d": [6, 79], "einsum": [6, 87, 148, 189, 311, 408], "einsum_path": [6, 86], "empty_lik": [6, 32, 88, 135, 310, 430], "equal": [6, 14, 15, 19, 33, 43, 57, 64, 68, 82, 124, 136, 139, 140, 142, 150, 155, 159, 160, 176, 187, 286, 307, 324, 334, 368, 377, 386, 398, 399, 415, 418, 427], "exp": [6, 93, 95, 173, 178, 180, 182, 188], "exp2": [6, 92, 95], "expand_dim": [6, 28, 29], "expm1": [6, 92, 93, 180], "extract": [6, 74, 77, 147], "ey": [6, 58, 59, 67, 125, 126, 144, 167, 186, 191, 197, 390], "fab": [6, 11, 12], "fastcopyandtranspos": 6, "fill_diagon": 6, "find_common_typ": 6, "fix": [6, 84, 319], "flatnonzero": [6, 306], "flip": [6, 121, 122, 326], "fliplr": [6, 120, 122], "flipud": [6, 120, 121], "float_pow": 6, "floor": [6, 31, 53, 124, 377, 382, 385, 421], "floor_divid": [6, 127, 198, 377], "fmax": [6, 126, 190, 191, 197, 206, 315], "fmin": [6, 125, 191, 196, 197, 208, 315], "fmod": [6, 125, 126, 198, 315, 377], "format_float_posit": 6, "format_float_scientif": 6, "frexp": 6, "from_dlpack": 6, "frombuff": 6, "fromfil": 6, "fromfunct": [6, 34, 35], "fromit": [6, 34, 35], "frompyfunc": 6, "fromregex": 6, "fromstr": 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152, 153, 158, 159, 160, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 191, 197, 198, 199, 201, 204, 205, 248, 266, 292, 305, 307, 314, 315, 317, 375, 377, 381, 382, 387, 391, 392, 393, 394, 396, 397, 401, 406, 407, 408, 412, 413, 420, 421, 422, 426], "calcul": [11, 12, 18, 43, 71, 79, 85, 92, 93, 95, 98, 123, 125, 126, 138, 182, 188, 192, 198, 207, 210, 211, 212, 315, 376, 377, 396, 400, 425, 431], "valu": [11, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 38, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 78, 79, 80, 82, 84, 85, 88, 89, 90, 92, 93, 95, 96, 97, 98, 99, 105, 117, 118, 119, 123, 124, 125, 126, 127, 131, 134, 135, 139, 140, 143, 144, 147, 149, 151, 152, 153, 158, 159, 160, 161, 166, 169, 171, 173, 175, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 188, 190, 191, 192, 193, 196, 197, 198, 201, 202, 203, 206, 207, 208, 209, 210, 211, 212, 216, 217, 220, 222, 223, 225, 226, 227, 228, 229, 230, 231, 234, 235, 236, 237, 238, 239, 240, 242, 243, 244, 245, 246, 249, 251, 253, 254, 255, 256, 257, 258, 261, 262, 264, 266, 269, 273, 275, 286, 288, 305, 306, 307, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 334, 351, 352, 368, 375, 376, 377, 378, 379, 381, 382, 383, 385, 387, 388, 389, 391, 392, 393, 394, 395, 396, 397, 400, 401, 402, 404, 405, 406, 407, 408, 410, 420, 421, 423, 425, 429, 430, 438, 442], "wise": [11, 12, 13, 15, 18, 21, 22, 23, 24, 25, 26, 27, 31, 33, 45, 46, 47, 48, 52, 53, 56, 57, 58, 59, 62, 65, 66, 80, 82, 83, 90, 92, 93, 95, 98, 123, 125, 126, 127, 139, 140, 142, 146, 149, 150, 151, 152, 153, 158, 159, 160, 178, 179, 180, 181, 182, 183, 184, 185, 186, 188, 190, 191, 196, 197, 198, 199, 201, 206, 208, 209, 268, 305, 307, 314, 315, 317, 374, 375, 377, 381, 382, 385, 386, 387, 391, 392, 393, 394, 396, 397, 399, 401, 406, 407, 420, 421, 427, 438], "contain": [11, 12, 14, 19, 20, 28, 29, 45, 46, 47, 48, 55, 63, 82, 84, 128, 137, 147, 149, 158, 165, 175, 188, 190, 192, 196, 202, 203, 206, 207, 208, 210, 211, 212, 292, 324, 375, 376, 381, 396, 400, 402, 411, 415, 418, 425, 438], "paramet": [11, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 40, 41, 42, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 74, 77, 78, 79, 80, 81, 82, 83, 84, 85, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 134, 135, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 151, 152, 153, 158, 159, 160, 161, 162, 163, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 178, 179, 180, 181, 182, 183, 184, 185, 186, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 264, 273, 276, 292, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 319, 320, 324, 325, 326, 328, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 343, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 427, 428, 429, 430], "onli": [11, 12, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 35, 36, 38, 40, 43, 52, 53, 55, 58, 59, 61, 64, 65, 66, 68, 74, 77, 78, 82, 84, 85, 88, 89, 92, 93, 95, 97, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 123, 129, 130, 131, 132, 133, 134, 135, 147, 151, 152, 153, 158, 161, 175, 176, 177, 178, 179, 180, 181, 184, 190, 192, 193, 196, 202, 203, 206, 207, 208, 209, 210, 212, 264, 296, 305, 309, 310, 312, 314, 316, 317, 319, 324, 346, 352, 368, 379, 381, 382, 385, 387, 388, 389, 391, 392, 393, 394, 395, 400, 402, 404, 405, 406, 407, 408, 410, 413, 414, 417, 421, 424, 425, 428, 429, 430, 438], "either": [11, 12, 13, 14, 15, 19, 21, 22, 23, 24, 25, 26, 27, 31, 38, 43, 45, 46, 47, 48, 52, 53, 58, 59, 62, 65, 66, 67, 80, 81, 84, 90, 92, 93, 95, 96, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 123, 124, 125, 126, 127, 139, 140, 143, 149, 150, 151, 152, 153, 158, 159, 160, 171, 174, 178, 179, 180, 181, 182, 183, 184, 185, 186, 188, 189, 190, 191, 196, 197, 198, 201, 202, 203, 206, 208, 209, 211, 305, 306, 307, 311, 313, 314, 315, 316, 317, 319, 360, 376, 377, 381, 382, 385, 387, 391, 392, 393, 394, 396, 397, 401, 402, 404, 405, 406, 407, 420, 421, 428], "tensor": [11, 12, 13, 14, 15, 19, 21, 22, 23, 24, 25, 26, 27, 31, 37, 45, 46, 47, 48, 52, 53, 58, 59, 62, 65, 66, 67, 80, 81, 82, 89, 90, 92, 93, 95, 96, 123, 124, 125, 126, 127, 135, 139, 140, 143, 148, 149, 151, 152, 153, 158, 159, 160, 165, 174, 178, 179, 180, 181, 182, 183, 184, 185, 186, 189, 190, 191, 196, 197, 198, 201, 202, 203, 206, 208, 209, 305, 306, 307, 310, 311, 313, 314, 315, 316, 317, 318, 319, 377, 381, 382, 385, 387, 391, 392, 393, 394, 396, 397, 401, 404, 406, 407, 408, 414, 417, 420, 421, 428, 430], "usm_ndarrai": [11, 12, 13, 14, 15, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 37, 40, 41, 42, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 62, 63, 65, 66, 67, 79, 80, 81, 82, 83, 89, 90, 92, 93, 94, 95, 96, 120, 121, 122, 123, 124, 125, 126, 127, 135, 139, 140, 142, 143, 146, 149, 151, 152, 153, 158, 159, 160, 161, 163, 165, 167, 173, 174, 175, 178, 179, 180, 181, 182, 183, 184, 185, 186, 188, 189, 190, 191, 192, 194, 196, 197, 198, 200, 201, 202, 203, 206, 207, 208, 209, 210, 211, 212, 264, 305, 306, 307, 310, 311, 313, 314, 315, 316, 317, 318, 319, 320, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 409, 411, 414, 417, 420, 421, 425, 427, 428, 430], "keyword": [11, 12, 13, 15, 21, 22, 23, 24, 25, 26, 27, 45, 46, 47, 48, 52, 53, 55, 62, 65, 66, 69, 70, 71, 80, 81, 85, 92, 93, 95, 98, 123, 124, 125, 126, 127, 138, 143, 148, 149, 158, 179, 180, 181, 182, 189, 191, 197, 198, 199, 201, 204, 205, 305, 314, 315, 317, 375, 377, 381, 382, 387, 391, 392, 393, 394, 401, 406, 407, 408, 412, 413, 420, 421, 438], "argument": [11, 12, 13, 15, 18, 21, 22, 23, 24, 25, 26, 27, 45, 46, 47, 48, 51, 52, 53, 55, 57, 62, 65, 66, 69, 70, 71, 80, 81, 82, 84, 85, 91, 92, 93, 95, 98, 123, 124, 125, 126, 127, 138, 143, 146, 148, 149, 155, 156, 158, 170, 179, 180, 181, 182, 189, 191, 197, 198, 199, 201, 204, 205, 292, 305, 314, 315, 317, 374, 375, 377, 380, 381, 382, 387, 391, 392, 393, 394, 399, 401, 406, 407, 408, 412, 413, 420, 421, 438], "unsupport": [11, 12, 13, 15, 21, 22, 23, 24, 25, 26, 27, 45, 46, 47, 48, 52, 53, 55, 62, 65, 66, 69, 70, 71, 80, 81, 92, 93, 95, 98, 100, 101, 102, 103, 104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 123, 124, 125, 126, 127, 138, 143, 148, 149, 158, 170, 179, 180, 181, 182, 189, 191, 197, 198, 199, 201, 204, 205, 305, 314, 315, 317, 375, 377, 381, 382, 387, 391, 392, 393, 394, 401, 406, 407, 408, 412, 413, 420, 421], "sequenti": [11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 31, 45, 46, 47, 48, 52, 53, 58, 59, 62, 64, 65, 66, 68, 69, 70, 71, 78, 80, 81, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95, 96, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 123, 124, 125, 126, 127, 134, 135, 138, 139, 140, 143, 144, 148, 149, 150, 151, 152, 153, 158, 159, 160, 178, 179, 180, 181, 182, 183, 184, 185, 186, 191, 193, 197, 198, 199, 201, 204, 205, 209, 305, 306, 307, 309, 310, 311, 313, 314, 315, 316, 319, 375, 377, 381, 382, 385, 387, 391, 392, 393, 394, 396, 397, 401, 404, 406, 407, 408, 412, 413, 414, 417, 420, 421, 428, 429, 430], "exclud": [11, 12, 324, 368], "note": [11, 12, 13, 14, 18, 19, 28, 29, 30, 31, 39, 61, 72, 80, 82, 84, 94, 123, 147, 151, 171, 187, 198, 201, 210, 211, 212, 269, 292, 306, 319, 322, 327, 329, 330, 340, 345, 375, 379, 395, 400, 401, 403, 404, 409, 420, 425, 426], "shorthand": [11, 12, 13, 45, 46, 47, 48, 80, 90, 124, 139, 140, 149, 158, 159, 160, 183, 185, 189, 201, 305, 307, 314, 315, 377, 381, 401, 420, 428], "1j": [11, 12, 18, 58, 59, 82, 146, 175, 277, 290, 374, 397], "5620499351813308": [11, 12], "x1": [13, 15, 18, 25, 26, 44, 45, 47, 48, 54, 62, 64, 69, 70, 71, 72, 73, 76, 78, 80, 81, 82, 85, 89, 90, 98, 117, 124, 125, 126, 127, 135, 138, 139, 140, 143, 148, 150, 157, 158, 159, 160, 164, 171, 172, 182, 183, 184, 185, 186, 189, 191, 193, 194, 197, 198, 199, 201, 204, 205, 264, 305, 307, 310, 311, 312, 314, 315, 321, 322, 323, 361, 377, 381, 383, 388, 401, 408, 410, 412, 414, 416, 417, 419, 420, 423, 424, 430], "x2": [13, 14, 15, 18, 19, 25, 26, 32, 45, 47, 48, 62, 64, 69, 80, 81, 90, 124, 125, 126, 127, 139, 140, 143, 148, 150, 157, 158, 159, 160, 182, 183, 184, 185, 186, 189, 191, 194, 197, 198, 201, 305, 306, 307, 311, 314, 315, 377, 381, 383, 388, 396, 401, 408, 420], "scalar": [13, 15, 26, 37, 45, 47, 48, 51, 62, 63, 79, 80, 81, 82, 84, 90, 124, 125, 126, 127, 139, 140, 143, 154, 158, 159, 160, 174, 182, 183, 185, 186, 189, 191, 194, 197, 198, 201, 273, 278, 307, 311, 315, 320, 324, 325, 326, 328, 331, 332, 333, 334, 335, 336, 337, 338, 339, 343, 346, 347, 349, 350, 352, 355, 358, 360, 364, 366, 367, 368, 369, 370, 371, 372, 377, 381, 401, 420, 428, 438], "both": [13, 15, 26, 43, 45, 47, 48, 55, 62, 80, 81, 90, 124, 125, 126, 127, 139, 140, 143, 158, 159, 160, 171, 182, 183, 185, 186, 191, 197, 198, 201, 211, 307, 311, 315, 377, 381, 401, 420], "equival": [13, 14, 16, 17, 19, 28, 29, 30, 31, 43, 61, 80, 82, 83, 94, 188, 201, 219, 259, 260, 292, 303, 314, 323, 324, 352, 376, 379, 385, 390, 395, 401, 402, 411, 420, 438], "term": [13, 80, 201, 401, 420], "broadcast": [13, 43, 49, 50, 55, 63, 80, 125, 126, 143, 171, 183, 185, 186, 188, 189, 191, 192, 197, 201, 207, 210, 211, 212, 315, 319, 320, 376, 378, 400, 401, 402, 405, 409, 420, 425], "b": [13, 15, 28, 29, 45, 48, 56, 57, 63, 70, 71, 81, 83, 84, 85, 90, 127, 139, 140, 142, 148, 159, 160, 163, 173, 174, 175, 183, 185, 189, 190, 196, 204, 205, 307, 311, 315, 325, 386, 399, 408, 409, 412, 427], "7": [13, 15, 20, 40, 53, 55, 63, 67, 71, 74, 75, 79, 80, 82, 85, 92, 120, 123, 136, 138, 150, 175, 193, 201, 205, 278, 306, 317, 318, 324, 348, 374, 377, 380, 382, 383, 401, 402, 403, 404, 408, 414, 417, 420, 421, 428], "oper": [13, 45, 46, 47, 48, 80, 84, 90, 94, 124, 139, 140, 149, 158, 159, 160, 161, 183, 184, 185, 186, 189, 201, 305, 307, 314, 315, 319, 377, 381, 401, 409, 420, 431, 442], "axi": [14, 16, 17, 18, 19, 28, 29, 30, 43, 56, 57, 67, 69, 70, 71, 79, 82, 83, 85, 94, 99, 104, 105, 109, 110, 113, 120, 121, 122, 125, 126, 136, 138, 142, 147, 171, 176, 187, 188, 190, 191, 192, 193, 196, 197, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 259, 260, 261, 262, 263, 270, 280, 281, 282, 286, 287, 288, 291, 296, 297, 298, 300, 302, 304, 312, 316, 318, 319, 320, 373, 376, 378, 379, 383, 384, 386, 395, 398, 399, 400, 402, 403, 404, 405, 409, 411, 412, 425, 427, 438], "keepdim": [14, 16, 17, 19, 28, 29, 43, 67, 82, 171, 188, 190, 192, 193, 196, 202, 203, 206, 207, 208, 209, 210, 211, 212, 259, 260, 261, 262, 280, 281, 282, 287, 298, 300, 304, 316, 318, 320, 376, 400, 402, 405, 425], "fals": [14, 15, 16, 17, 18, 19, 28, 29, 32, 33, 36, 38, 43, 45, 46, 48, 49, 50, 51, 61, 67, 68, 82, 84, 89, 90, 117, 135, 136, 139, 140, 147, 149, 150, 151, 152, 153, 159, 160, 161, 169, 171, 175, 176, 183, 184, 185, 186, 187, 188, 190, 192, 193, 194, 196, 202, 203, 206, 207, 208, 209, 210, 211, 212, 259, 260, 261, 262, 264, 280, 281, 282, 287, 298, 300, 304, 307, 310, 316, 318, 376, 379, 392, 400, 402, 424, 425, 430], "whether": [14, 15, 19, 84, 161, 176, 379], "given": [14, 19, 20, 28, 29, 31, 32, 43, 56, 61, 67, 68, 70, 71, 79, 81, 82, 83, 84, 85, 88, 89, 117, 120, 125, 126, 134, 135, 138, 143, 167, 190, 191, 194, 196, 197, 204, 205, 206, 208, 209, 210, 211, 212, 261, 262, 264, 270, 282, 287, 288, 293, 298, 300, 304, 309, 310, 316, 318, 319, 324, 329, 351, 368, 376, 378, 382, 383, 384, 385, 386, 400, 402, 409, 412, 413, 425, 427, 429, 430, 438], "evalu": [14, 15, 19, 82, 86, 87, 90, 148, 194, 259, 260, 311, 408], "logic": [14, 19, 183, 185, 186, 431, 442], "AND": [14, 45, 46, 47, 48, 149, 183, 184, 185, 186], "reduct": [14, 19], "method": [14, 16, 17, 19, 30, 61, 82, 84, 119, 128, 130, 169, 175, 264, 269, 292, 324, 379, 390, 402, 411, 431], "Not": [14, 19, 151, 204, 206, 208, 209, 211, 316], "number": [14, 18, 19, 20, 31, 43, 44, 49, 50, 58, 59, 67, 79, 82, 84, 94, 118, 123, 124, 136, 145, 151, 162, 169, 171, 173, 175, 176, 177, 187, 204, 206, 208, 209, 210, 211, 212, 284, 293, 294, 295, 306, 316, 317, 324, 326, 336, 360, 377, 378, 382, 383, 384, 385, 391, 392, 400, 403, 409, 411, 421, 425, 442], "becaus": [14, 19], "x3": [14, 19], "rtol": [15, 150], "1e": [15, 95, 150, 179, 180, 182, 342], "05": [15, 150], "atol": [15, 150], "08": [15, 65, 150, 342, 393], "two": [15, 33, 40, 41, 45, 46, 47, 48, 60, 64, 69, 77, 79, 82, 84, 86, 87, 148, 149, 150, 157, 165, 170, 174, 183, 185, 186, 189, 190, 191, 196, 197, 200, 206, 208, 286, 301, 311, 324, 353, 403, 414, 415, 417, 418, 426], "within": [15, 20, 33, 82, 150, 264, 319, 324, 368], "toler": [15, 33, 150], "A": [15, 37, 49, 50, 52, 55, 56, 62, 63, 82, 84, 93, 94, 120, 121, 122, 128, 130, 133, 147, 161, 166, 173, 195, 209, 211, 264, 269, 276, 294, 308, 316, 324, 326, 343, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 373, 375, 378, 387, 392, 403, 409, 411], "boolean": [15, 45, 47, 48, 63, 84, 147, 150, 151, 152, 153, 183, 184, 185, 186, 188, 192, 207, 209, 210, 211, 212, 376, 379, 392, 400, 402, 404, 425], "dim": 15, "typeerror": [15, 43, 63, 67, 74, 77, 99, 105, 113, 424], "rais": [15, 30, 32, 34, 35, 36, 38, 49, 50, 54, 55, 61, 63, 67, 74, 77, 82, 93, 99, 105, 113, 168, 188, 190, 192, 196, 202, 203, 206, 207, 208, 210, 211, 212, 264, 265, 294, 315, 376, 379, 395, 397, 398, 400, 402, 424, 425], "integ": [15, 31, 43, 45, 46, 47, 48, 50, 74, 77, 82, 84, 123, 124, 145, 149, 150, 158, 168, 171, 188, 190, 192, 196, 206, 207, 208, 210, 211, 212, 296, 315, 319, 324, 352, 355, 360, 376, 377, 379, 381, 382, 385, 397, 400, 402, 404, 413, 414, 417, 421, 424, 425, 438], "1e10": [15, 150], "00001e10": [15, 150], "initi": [16, 17, 82, 88, 133, 190, 196, 206, 208, 209, 211, 280, 282, 287, 300, 316, 324, 402], "alia": [16, 17, 80, 118, 213, 324, 354, 357, 359, 386, 420, 427], "z": [18, 61, 131, 194, 334], "deg": [18, 323], "point": [18, 25, 34, 35, 43, 62, 84, 93, 118, 176, 188, 192, 207, 210, 211, 212, 324, 353, 365, 375, 376, 387, 400, 402, 425, 442], "option": [18, 28, 29, 30, 37, 43, 51, 52, 55, 57, 62, 63, 79, 82, 84, 93, 120, 142, 147, 161, 169, 170, 171, 175, 176, 188, 190, 192, 194, 195, 196, 202, 203, 206, 207, 208, 210, 211, 212, 264, 276, 308, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 373, 375, 376, 378, 379, 383, 384, 386, 387, 395, 398, 399, 400, 402, 404, 411, 415, 416, 418, 419, 425, 427], "counterclockwis": 18, "plane": 18, "determin": [18, 156, 163, 173, 183, 185, 186], "promot": [18, 51, 380, 409], "rule": [18, 43, 51, 63, 188, 189, 192, 207, 210, 211, 212, 376, 380, 400, 402, 412, 425], "although": [18, 84, 409], "undefin": [18, 82, 286], "arc": [18, 25, 26], "tangent": [18, 21, 22, 23, 24, 25, 26, 27, 65, 66, 393, 394, 406, 407], "quadrant": [18, 25, 26], "correctli": [18, 25, 26, 171, 306], "trigonometr": [18, 21, 22, 23, 24, 25, 26, 27, 65, 66, 393, 394, 406, 407, 442], "invers": [18, 21, 22, 23, 24, 25, 26, 27, 46, 65, 66, 93, 94, 95, 105, 106, 107, 108, 109, 110, 111, 112, 149, 167, 178, 180, 370, 393, 394, 406, 407], "0j": [18, 82, 189, 277, 290, 391], "57079633": [18, 26, 323, 423], "78539816": [18, 25, 26, 423], "mai": [18, 51, 55, 57, 63, 82, 84, 94, 142, 165, 187, 207, 210, 212, 264, 320, 386, 399, 409, 427, 438], "vari": [18, 147, 165, 207, 210, 212], "90": [18, 73, 428], "45": [18, 26], "OR": [19, 45, 46, 47, 48, 149, 183, 184, 185, 186], "stop": [20, 136, 176, 187], "like": [20, 32, 34, 35, 36, 38, 40, 41, 42, 56, 82, 83, 88, 97, 134, 144, 177, 264, 309, 324, 368, 379, 429, 442], "usm_typ": [20, 32, 34, 35, 36, 37, 38, 74, 77, 82, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 365, 368, 413, 424, 429, 430], "sycl_queu": [20, 32, 34, 35, 36, 37, 38, 74, 77, 82, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 413, 424, 429, 430], "evenli": [20, 136, 176, 187, 382, 385], "interv": [20, 94, 176, 324, 352, 354, 356, 357, 359, 367, 368, 403], "d": [20, 43, 56, 57, 74, 75, 77, 83, 84, 97, 100, 101, 102, 106, 107, 111, 112, 114, 115, 116, 121, 122, 133, 142, 144, 163, 165, 170, 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388, 438], "reduc": [28, 29, 43, 172, 175, 188, 190, 192, 194, 196, 202, 203, 206, 207, 208, 210, 211, 212, 376, 400, 402, 425], "ax": [28, 29, 43, 79, 81, 82, 94, 100, 102, 103, 106, 107, 108, 111, 112, 114, 116, 120, 148, 171, 174, 188, 189, 190, 192, 196, 200, 202, 203, 206, 207, 208, 210, 211, 212, 294, 301, 303, 376, 383, 384, 398, 400, 402, 403, 408, 409, 411, 425], "dimens": [28, 29, 32, 40, 41, 42, 43, 56, 57, 63, 68, 75, 79, 82, 84, 94, 121, 122, 142, 147, 171, 188, 190, 192, 194, 195, 196, 200, 202, 203, 206, 207, 208, 210, 211, 212, 276, 284, 294, 308, 320, 324, 354, 356, 357, 359, 376, 379, 390, 398, 399, 400, 402, 403, 405, 409, 414, 415, 416, 417, 418, 419, 425, 438, 442], "singleton": [28, 29, 43, 94, 188, 190, 192, 196, 202, 203, 206, 207, 208, 210, 211, 212, 376, 398, 400, 402, 425], "accordingli": [28, 29, 190, 196, 202, 203, 206, 208], "first": [28, 29, 30, 43, 56, 57, 62, 84, 93, 120, 155, 156, 170, 190, 194, 196, 202, 203, 315, 373, 379, 383, 386, 395, 397, 403, 405, 427], "occurr": [28, 29, 44, 202, 203], "non": [28, 29, 37, 43, 44, 67, 82, 147, 151, 165, 190, 195, 196, 202, 203, 206, 208, 210, 212, 285, 306, 308, 315, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 396], "igonr": [28, 29, 202, 203], "convert": [28, 29, 34, 35, 36, 37, 38, 40, 41, 42, 72, 73, 84, 322, 323, 423], "flat": [28, 29, 82, 119, 276, 378], "tupl": [28, 29, 43, 50, 75, 82, 84, 94, 120, 147, 171, 188, 190, 192, 194, 195, 196, 206, 207, 208, 210, 211, 212, 294, 306, 308, 376, 379, 383, 390, 398, 400, 402, 409, 411, 415, 418, 425, 438], "appli": [28, 29, 30, 43, 51, 183, 185, 186, 380], "index_arrai": [28, 29, 30], "call": [28, 29, 30, 36, 38, 84, 170, 219, 398, 409, 428], "multipl": [28, 29, 30, 43, 57, 84, 142, 165, 166, 167, 188, 190, 192, 196, 206, 207, 208, 210, 211, 212, 376, 386, 395, 399, 400, 402, 425, 427, 431], "12": [28, 29, 42, 75, 84, 146, 187, 316, 318, 348, 414, 417], "13": [28, 29, 46, 75, 84, 149, 189, 205], "14": [28, 29, 45, 46, 75, 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140, 146, 147, 159, 160, 168, 170, 192, 194, 195, 203, 207, 210, 211, 212, 255, 307, 308, 324, 325, 326, 328, 331, 332, 333, 334, 335, 336, 337, 338, 339, 343, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 374, 375, 378, 387, 395, 398, 400, 402, 409, 425, 442], "axiserror": [30, 395], "notimplementederror": [30, 49, 50, 55, 82, 190, 192, 196, 206, 207, 208, 210, 211, 212, 264, 395, 400, 402, 425], "indirect": [30, 395], "partial": [30, 395], "ind": [30, 415, 418], "decim": [31, 82, 118, 293, 382, 385], "detail": [31, 128, 385, 415, 416, 418, 419, 438], "nearest": [31, 123, 124, 377, 382, 385, 421], "truncat": [31, 53, 123, 362, 382, 385, 421], "ndmin": 32, "object": [32, 35, 36, 37, 38, 61, 82, 84, 94, 118, 119, 128, 132, 145, 147, 165, 171, 177, 195, 292, 308, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 379, 438], "satisfi": [32, 36, 38, 82, 96, 167, 264], "valueerror": [32, 34, 35, 36, 38, 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352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 438], "oneapi": [37, 147, 195, 308, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368], "filter": [37, 147, 195, 308, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368], "selector": [37, 147, 195, 308, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368], "properti": [37, 82, 147, 195, 214, 272, 274, 275, 277, 279, 283, 284, 290, 294, 295, 299, 303, 308, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 438], "share": [37, 147, 195, 308, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 365, 368], "laid": 38, "fortran": [38, 82, 264, 276, 373, 379], "row": [38, 56, 57, 82, 83, 121, 122, 142, 147, 170, 175, 177, 264, 276, 373, 386, 399, 415, 427], "exactli": [39, 72, 322, 324, 352], "ari": [40, 41, 42], "least": [40, 41, 42, 43, 83, 84, 121, 150, 386, 427], "One": [40, 41, 42, 83, 84, 379], "preserv": [40, 41, 42, 55, 82, 84, 120, 121, 122, 264], "made": [40, 84], "three": [40, 41, 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380], "stride": [82, 264], "wrapper": 82, "compliant": 82, "__getitem__": [82, 84, 119], "self": [82, 84, 119, 215, 216, 217, 220, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 250, 251, 252, 253, 254, 256, 257, 258, 275, 324], "__setitem__": [82, 119], "val": [82, 117, 119, 146, 254, 288, 313, 319, 374], "__len__": [82, 84], "len": [82, 84, 147, 194, 195, 241, 390], "asnumpi": 82, "style": [82, 264, 276, 373], "keep": [82, 264], "close": [82, 94, 176, 264, 324, 352], "itself": [82, 84, 264, 438], "backward": [82, 264, 383, 384], "convers": [82, 264, 431], "By": [82, 190, 192, 196, 206, 207, 208, 210, 212, 264, 373, 378, 383, 400, 415, 418, 425], "instead": [82, 94, 123, 136, 147, 176, 187, 264, 306], "arr_t": [82, 264], "unless": [82, 171, 209, 264, 316], "condit": [82, 96, 162, 264, 313, 319, 321, 389, 428], "behavior": [82, 269, 409], "assign": [82, 273], "collaps": [82, 276], "get_arrai": 82, "get": 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Functions (ufunc)": [[446, "universal-functions-ufunc"]], "Available ufuncs": [[446, "available-ufuncs"]], "Math operations": [[446, "math-operations"]], "Bit-twiddling functions": [[446, "bit-twiddling-functions"]], "Comparison functions": [[446, "comparison-functions"]], "Floating functions": [[446, "floating-functions"]]}, "indexentries": {"dpnp": [[2, "module-dpnp"], [3, "module-dpnp"]], "module": [[2, "module-dpnp"], [3, "module-dpnp"], [10, "module-dpnp.fft"], [441, "module-dpnp.random"]], "dpnp.fft": [[10, "module-dpnp.fft"]], "abs() (in module dpnp)": [[11, "dpnp.abs"]], "absolute() (in module dpnp)": [[12, "dpnp.absolute"]], "add() (in module dpnp)": [[13, "dpnp.add"]], "all() (in module dpnp)": [[14, "dpnp.all"]], "allclose() (in module dpnp)": [[15, "dpnp.allclose"]], "amax() (in module dpnp)": [[16, "dpnp.amax"]], "amin() (in module dpnp)": [[17, "dpnp.amin"]], "angle() (in module dpnp)": [[18, "dpnp.angle"]], "any() (in module dpnp)": [[19, "dpnp.any"]], "arange() (in module dpnp)": [[20, "dpnp.arange"]], "arccos() (in module dpnp)": [[21, "dpnp.arccos"]], "arccosh() (in module dpnp)": [[22, "dpnp.arccosh"]], "arcsin() (in module dpnp)": [[23, "dpnp.arcsin"]], "arcsinh() (in module dpnp)": [[24, "dpnp.arcsinh"]], "arctan() (in module dpnp)": [[25, "dpnp.arctan"]], "arctan2() (in module dpnp)": [[26, "dpnp.arctan2"]], "arctanh() (in module dpnp)": [[27, "dpnp.arctanh"]], "argmax() (in module dpnp)": [[28, "dpnp.argmax"]], "argmin() (in module dpnp)": [[29, "dpnp.argmin"]], "argsort() (in module dpnp)": [[30, "dpnp.argsort"]], "around() (in module dpnp)": [[31, "dpnp.around"]], "array() (in module dpnp)": [[32, "dpnp.array"]], "array_equal() (in module dpnp)": [[33, "dpnp.array_equal"]], "asanyarray() (in module dpnp)": [[34, "dpnp.asanyarray"]], "asarray() (in module dpnp)": [[35, "dpnp.asarray"]], "ascontiguousarray() (in module dpnp)": [[36, "dpnp.ascontiguousarray"]], "asfarray() (in module dpnp)": [[37, "dpnp.asfarray"]], "asfortranarray() (in 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"diag() (in module dpnp)": [[74, "dpnp.diag"]], "diag_indices() (in module dpnp)": [[75, "dpnp.diag_indices"]], "diag_indices_from() (in module dpnp)": [[76, "dpnp.diag_indices_from"]], "diagflat() (in module dpnp)": [[77, "dpnp.diagflat"]], "diagonal() (in module dpnp)": [[78, "dpnp.diagonal"]], "diff() (in module dpnp)": [[79, "dpnp.diff"]], "divide() (in module dpnp)": [[80, "dpnp.divide"]], "dot() (in module dpnp)": [[81, "dpnp.dot"]], "t (dpnp.dpnp_array.dpnp_array attribute)": [[82, "dpnp.dpnp_array.dpnp_array.T"]], "__eq__() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.__eq__"]], "__ge__() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.__ge__"]], "__getitem__() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.__getitem__"]], "__gt__() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.__gt__"]], "__le__() (dpnp.dpnp_array.dpnp_array method)": [[82, 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"ifftshift() (in module dpnp.fft)": [[108, "dpnp.fft.ifftshift"]], "ihfft() (in module dpnp.fft)": [[109, "dpnp.fft.ihfft"]], "irfft() (in module dpnp.fft)": [[110, "dpnp.fft.irfft"]], "irfft2() (in module dpnp.fft)": [[111, "dpnp.fft.irfft2"]], "irfftn() (in module dpnp.fft)": [[112, "dpnp.fft.irfftn"]], "rfft() (in module dpnp.fft)": [[113, "dpnp.fft.rfft"]], "rfft2() (in module dpnp.fft)": [[114, "dpnp.fft.rfft2"]], "rfftfreq() (in module dpnp.fft)": [[115, "dpnp.fft.rfftfreq"]], "rfftn() (in module dpnp.fft)": [[116, "dpnp.fft.rfftn"]], "fill_diagonal() (in module dpnp)": [[117, "dpnp.fill_diagonal"]], "finfo() (in module dpnp)": [[118, "dpnp.finfo"]], "__eq__() (dpnp.flatiter method)": [[119, "dpnp.flatiter.__eq__"]], "__ge__() (dpnp.flatiter method)": [[119, "dpnp.flatiter.__ge__"]], "__getitem__() (dpnp.flatiter method)": [[119, "dpnp.flatiter.__getitem__"]], "__gt__() (dpnp.flatiter method)": [[119, "dpnp.flatiter.__gt__"]], "__iter__() (dpnp.flatiter method)": [[119, 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dpnp)": [[130, "dpnp.fromfile"]], "fromfunction() (in module dpnp)": [[131, "dpnp.fromfunction"]], "fromiter() (in module dpnp)": [[132, "dpnp.fromiter"]], "fromstring() (in module dpnp)": [[133, "dpnp.fromstring"]], "full() (in module dpnp)": [[134, "dpnp.full"]], "full_like() (in module dpnp)": [[135, "dpnp.full_like"]], "geomspace() (in module dpnp)": [[136, "dpnp.geomspace"]], "get_include() (in module dpnp)": [[137, "dpnp.get_include"]], "gradient() (in module dpnp)": [[138, "dpnp.gradient"]], "greater() (in module dpnp)": [[139, "dpnp.greater"]], "greater_equal() (in module dpnp)": [[140, "dpnp.greater_equal"]], "histogram() (in module dpnp)": [[141, "dpnp.histogram"]], "hstack() (in module dpnp)": [[142, "dpnp.hstack"]], "hypot() (in module dpnp)": [[143, "dpnp.hypot"]], "identity() (in module dpnp)": [[144, "dpnp.identity"]], "iinfo() (in module dpnp)": [[145, "dpnp.iinfo"]], "imag() (in module dpnp)": [[146, "dpnp.imag"]], "indices() (in module dpnp)": [[147, "dpnp.indices"]], "inner() (in module dpnp)": [[148, "dpnp.inner"]], "invert() (in module dpnp)": [[149, "dpnp.invert"]], "isclose() (in module dpnp)": [[150, "dpnp.isclose"]], "isfinite() (in module dpnp)": [[151, "dpnp.isfinite"]], "isinf() (in module dpnp)": [[152, "dpnp.isinf"]], "isnan() (in module dpnp)": [[153, "dpnp.isnan"]], "isscalar() (in module dpnp)": [[154, "dpnp.isscalar"]], "issubdtype() (in module dpnp)": [[155, "dpnp.issubdtype"]], "issubsctype() (in module dpnp)": [[156, "dpnp.issubsctype"]], "kron() (in module dpnp)": [[157, "dpnp.kron"]], "left_shift() (in module dpnp)": [[158, "dpnp.left_shift"]], "less() (in module dpnp)": [[159, "dpnp.less"]], "less_equal() (in module dpnp)": [[160, "dpnp.less_equal"]], "cholesky() (in module dpnp.linalg)": [[161, "dpnp.linalg.cholesky"]], "cond() (in module dpnp.linalg)": [[162, "dpnp.linalg.cond"]], "det() (in module dpnp.linalg)": [[163, "dpnp.linalg.det"]], "eig() (in module dpnp.linalg)": [[164, "dpnp.linalg.eig"]], "eigh() (in module dpnp.linalg)": [[165, "dpnp.linalg.eigh"]], "eigvals() (in module dpnp.linalg)": [[166, "dpnp.linalg.eigvals"]], "inv() (in module dpnp.linalg)": [[167, "dpnp.linalg.inv"]], "matrix_power() (in module dpnp.linalg)": [[168, "dpnp.linalg.matrix_power"]], "matrix_rank() (in module dpnp.linalg)": [[169, "dpnp.linalg.matrix_rank"]], "multi_dot() (in module dpnp.linalg)": [[170, "dpnp.linalg.multi_dot"]], "norm() (in module dpnp.linalg)": [[171, "dpnp.linalg.norm"]], "qr() (in module dpnp.linalg)": [[172, "dpnp.linalg.qr"]], "slogdet() (in module dpnp.linalg)": [[173, "dpnp.linalg.slogdet"]], "solve() (in module dpnp.linalg)": [[174, "dpnp.linalg.solve"]], "svd() (in module dpnp.linalg)": [[175, "dpnp.linalg.svd"]], "linspace() (in module dpnp)": [[176, "dpnp.linspace"]], "loadtxt() (in module dpnp)": [[177, "dpnp.loadtxt"]], "log() (in module dpnp)": [[178, "dpnp.log"]], "log10() (in module dpnp)": [[179, "dpnp.log10"]], "log1p() (in module dpnp)": [[180, "dpnp.log1p"]], "log2() (in module dpnp)": [[181, "dpnp.log2"]], "logaddexp() (in module dpnp)": [[182, "dpnp.logaddexp"]], "logical_and() (in module dpnp)": [[183, "dpnp.logical_and"]], "logical_not() (in module dpnp)": [[184, "dpnp.logical_not"]], "logical_or() (in module dpnp)": [[185, "dpnp.logical_or"]], "logical_xor() (in module dpnp)": [[186, "dpnp.logical_xor"]], "logspace() (in module dpnp)": [[187, "dpnp.logspace"]], "logsumexp() (in module dpnp)": [[188, "dpnp.logsumexp"]], "matmul() (in module dpnp)": [[189, "dpnp.matmul"]], "max() (in module dpnp)": [[190, "dpnp.max"]], "maximum() (in module dpnp)": [[191, "dpnp.maximum"]], "mean() (in module dpnp)": [[192, "dpnp.mean"]], "median() (in module dpnp)": [[193, "dpnp.median"]], "meshgrid() (in module dpnp)": [[194, "dpnp.meshgrid"]], "mgrid (in module dpnp)": [[195, "dpnp.mgrid"]], "min() (in module dpnp)": [[196, "dpnp.min"]], "minimum() (in module dpnp)": [[197, "dpnp.minimum"]], "mod() (in module dpnp)": [[198, "dpnp.mod"]], "modf() (in module dpnp)": [[199, "dpnp.modf"]], "moveaxis() (in module dpnp)": [[200, "dpnp.moveaxis"]], "multiply() (in module dpnp)": [[201, "dpnp.multiply"]], "nanargmax() (in module dpnp)": [[202, "dpnp.nanargmax"]], "nanargmin() (in module dpnp)": [[203, "dpnp.nanargmin"]], "nancumprod() (in module dpnp)": [[204, "dpnp.nancumprod"]], "nancumsum() (in module dpnp)": [[205, "dpnp.nancumsum"]], "nanmax() (in module dpnp)": [[206, "dpnp.nanmax"]], "nanmean() (in module dpnp)": [[207, "dpnp.nanmean"]], "nanmin() (in module dpnp)": [[208, "dpnp.nanmin"]], "nanprod() (in module dpnp)": [[209, "dpnp.nanprod"]], "nanstd() (in module dpnp)": [[210, "dpnp.nanstd"]], "nansum() (in module dpnp)": [[211, "dpnp.nansum"]], "nanvar() (in module dpnp)": [[212, "dpnp.nanvar"]], "ndarray (in module dpnp)": [[213, "dpnp.ndarray"]], "t (dpnp.ndarray property)": [[214, "dpnp.ndarray.T"]], "__abs__() (dpnp.ndarray method)": [[215, "dpnp.ndarray.__abs__"]], "__add__() (dpnp.ndarray method)": [[216, "dpnp.ndarray.__add__"]], "__and__() (dpnp.ndarray method)": [[217, "dpnp.ndarray.__and__"]], "__complex__() (dpnp.ndarray method)": [[218, "dpnp.ndarray.__complex__"]], "__copy__() (dpnp.ndarray method)": [[219, "dpnp.ndarray.__copy__"]], "__eq__() (dpnp.ndarray method)": [[220, "dpnp.ndarray.__eq__"]], "__float__() (dpnp.ndarray method)": [[221, "dpnp.ndarray.__float__"]], "__floordiv__() (dpnp.ndarray method)": [[222, "dpnp.ndarray.__floordiv__"]], "__ge__() (dpnp.ndarray method)": [[223, "dpnp.ndarray.__ge__"]], "__getitem__() (dpnp.ndarray method)": [[224, "dpnp.ndarray.__getitem__"]], "__gt__() (dpnp.ndarray method)": [[225, "dpnp.ndarray.__gt__"]], "__iadd__() (dpnp.ndarray method)": [[226, "dpnp.ndarray.__iadd__"]], "__iand__() (dpnp.ndarray method)": [[227, "dpnp.ndarray.__iand__"]], "__ifloordiv__() (dpnp.ndarray method)": [[228, "dpnp.ndarray.__ifloordiv__"]], "__ilshift__() (dpnp.ndarray method)": [[229, "dpnp.ndarray.__ilshift__"]], "__imod__() (dpnp.ndarray method)": [[230, "dpnp.ndarray.__imod__"]], "__imul__() (dpnp.ndarray method)": [[231, "dpnp.ndarray.__imul__"]], "__int__() (dpnp.ndarray method)": [[232, "dpnp.ndarray.__int__"]], "__invert__() (dpnp.ndarray method)": [[233, "dpnp.ndarray.__invert__"]], "__ior__() (dpnp.ndarray method)": [[234, "dpnp.ndarray.__ior__"]], "__ipow__() (dpnp.ndarray method)": [[235, "dpnp.ndarray.__ipow__"]], "__irshift__() (dpnp.ndarray method)": [[236, "dpnp.ndarray.__irshift__"]], "__isub__() (dpnp.ndarray method)": [[237, "dpnp.ndarray.__isub__"]], "__itruediv__() (dpnp.ndarray method)": [[238, "dpnp.ndarray.__itruediv__"]], "__ixor__() (dpnp.ndarray method)": [[239, "dpnp.ndarray.__ixor__"]], "__le__() (dpnp.ndarray method)": [[240, "dpnp.ndarray.__le__"]], "__len__() (dpnp.ndarray method)": [[241, "dpnp.ndarray.__len__"]], "__lshift__() (dpnp.ndarray method)": [[242, "dpnp.ndarray.__lshift__"]], "__lt__() (dpnp.ndarray method)": [[243, "dpnp.ndarray.__lt__"]], "__mod__() (dpnp.ndarray method)": [[244, "dpnp.ndarray.__mod__"]], "__mul__() (dpnp.ndarray method)": [[245, "dpnp.ndarray.__mul__"]], "__ne__() (dpnp.ndarray method)": [[246, "dpnp.ndarray.__ne__"]], "__neg__() (dpnp.ndarray method)": [[247, "dpnp.ndarray.__neg__"]], "__new__() (dpnp.ndarray method)": [[248, "dpnp.ndarray.__new__"]], "__or__() (dpnp.ndarray method)": [[249, "dpnp.ndarray.__or__"]], "__pos__() (dpnp.ndarray method)": [[250, "dpnp.ndarray.__pos__"]], "__pow__() (dpnp.ndarray method)": [[251, "dpnp.ndarray.__pow__"]], "__repr__() (dpnp.ndarray method)": [[252, "dpnp.ndarray.__repr__"]], "__rshift__() (dpnp.ndarray method)": [[253, "dpnp.ndarray.__rshift__"]], "__setitem__() (dpnp.ndarray method)": [[254, "dpnp.ndarray.__setitem__"]], "__str__() (dpnp.ndarray method)": [[255, "dpnp.ndarray.__str__"]], "__sub__() (dpnp.ndarray method)": [[256, "dpnp.ndarray.__sub__"]], "__truediv__() (dpnp.ndarray method)": [[257, "dpnp.ndarray.__truediv__"]], "__xor__() (dpnp.ndarray method)": [[258, "dpnp.ndarray.__xor__"]], "all() (dpnp.ndarray method)": [[259, "dpnp.ndarray.all"]], "any() (dpnp.ndarray method)": [[260, "dpnp.ndarray.any"]], "argmax() (dpnp.ndarray method)": [[261, "dpnp.ndarray.argmax"]], "argmin() (dpnp.ndarray method)": [[262, "dpnp.ndarray.argmin"]], "argsort() (dpnp.ndarray method)": [[263, "dpnp.ndarray.argsort"]], "astype() (dpnp.ndarray method)": [[264, "dpnp.ndarray.astype"]], "choose() (dpnp.ndarray method)": [[265, "dpnp.ndarray.choose"]], "clip() (dpnp.ndarray method)": [[266, "dpnp.ndarray.clip"]], "conj() (dpnp.ndarray method)": [[267, "dpnp.ndarray.conj"]], "conjugate() (dpnp.ndarray method)": [[268, "dpnp.ndarray.conjugate"]], "copy() (dpnp.ndarray method)": [[269, "dpnp.ndarray.copy"]], "cumsum() (dpnp.ndarray method)": [[270, "dpnp.ndarray.cumsum"]], "diagonal() (dpnp.ndarray method)": [[271, "dpnp.ndarray.diagonal"]], "dtype (dpnp.ndarray property)": [[272, "dpnp.ndarray.dtype"]], "fill() (dpnp.ndarray method)": [[273, "dpnp.ndarray.fill"]], "flags (dpnp.ndarray property)": [[274, "dpnp.ndarray.flags"]], "flat (dpnp.ndarray property)": [[275, "dpnp.ndarray.flat"]], "flatten() (dpnp.ndarray method)": [[276, "dpnp.ndarray.flatten"]], "imag (dpnp.ndarray property)": [[277, "dpnp.ndarray.imag"]], "item() (dpnp.ndarray method)": [[278, "dpnp.ndarray.item"]], "itemsize (dpnp.ndarray property)": [[279, "dpnp.ndarray.itemsize"]], "max() (dpnp.ndarray method)": [[280, "dpnp.ndarray.max"]], "mean() (dpnp.ndarray method)": [[281, "dpnp.ndarray.mean"]], "min() (dpnp.ndarray method)": [[282, "dpnp.ndarray.min"]], "nbytes (dpnp.ndarray property)": [[283, "dpnp.ndarray.nbytes"]], "ndim (dpnp.ndarray property)": [[284, "dpnp.ndarray.ndim"]], "nonzero() (dpnp.ndarray method)": [[285, "dpnp.ndarray.nonzero"]], "partition() (dpnp.ndarray method)": [[286, "dpnp.ndarray.partition"]], "prod() (dpnp.ndarray method)": [[287, "dpnp.ndarray.prod"]], "put() (dpnp.ndarray method)": [[288, "dpnp.ndarray.put"]], "ravel() (dpnp.ndarray method)": [[289, "dpnp.ndarray.ravel"]], "real (dpnp.ndarray property)": [[290, "dpnp.ndarray.real"]], "repeat() (dpnp.ndarray method)": [[291, "dpnp.ndarray.repeat"]], "reshape() (dpnp.ndarray method)": [[292, "dpnp.ndarray.reshape"]], "round() (dpnp.ndarray method)": [[293, "dpnp.ndarray.round"]], "shape (dpnp.ndarray property)": [[294, "dpnp.ndarray.shape"]], "size (dpnp.ndarray property)": [[295, "dpnp.ndarray.size"]], "sort() (dpnp.ndarray method)": [[296, "dpnp.ndarray.sort"]], "squeeze() (dpnp.ndarray method)": [[297, "dpnp.ndarray.squeeze"]], "std() (dpnp.ndarray method)": [[298, "dpnp.ndarray.std"]], "strides (dpnp.ndarray property)": [[299, "dpnp.ndarray.strides"]], "sum() (dpnp.ndarray method)": [[300, "dpnp.ndarray.sum"]], "swapaxes() (dpnp.ndarray method)": [[301, "dpnp.ndarray.swapaxes"]], "take() (dpnp.ndarray method)": [[302, "dpnp.ndarray.take"]], "transpose() (dpnp.ndarray method)": [[303, "dpnp.ndarray.transpose"]], "var() (dpnp.ndarray method)": [[304, "dpnp.ndarray.var"]], "negative() (in module dpnp)": [[305, "dpnp.negative"]], "nonzero() (in module dpnp)": [[306, "dpnp.nonzero"]], "not_equal() (in module dpnp)": [[307, "dpnp.not_equal"]], "ogrid (in module dpnp)": [[308, "dpnp.ogrid"]], "ones() (in module dpnp)": [[309, "dpnp.ones"]], "ones_like() (in module dpnp)": [[310, "dpnp.ones_like"]], "outer() (in module dpnp)": [[311, "dpnp.outer"]], "partition() (in module dpnp)": [[312, "dpnp.partition"]], "place() (in module dpnp)": [[313, "dpnp.place"]], "positive() (in module dpnp)": [[314, "dpnp.positive"]], "power() (in module dpnp)": [[315, "dpnp.power"]], "prod() (in module dpnp)": [[316, "dpnp.prod"]], "proj() (in module dpnp)": [[317, "dpnp.proj"]], "ptp() (in module dpnp)": [[318, "dpnp.ptp"]], "put() (in module dpnp)": [[319, "dpnp.put"]], "put_along_axis() (in module dpnp)": [[320, "dpnp.put_along_axis"]], "putmask() (in module dpnp)": [[321, "dpnp.putmask"]], "rad2deg() (in module dpnp)": [[322, "dpnp.rad2deg"]], "radians() (in module dpnp)": [[323, "dpnp.radians"]], "randomstate (class in dpnp.random)": [[324, "dpnp.random.RandomState"]], "__eq__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__eq__"]], "__ge__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__ge__"]], "__gt__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__gt__"]], "__le__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__le__"]], "__lt__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__lt__"]], "__ne__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__ne__"]], "get_state() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.get_state"]], "get_sycl_device() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.get_sycl_device"]], "get_sycl_queue() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.get_sycl_queue"]], "normal() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.normal"]], "rand() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.rand"]], "randint() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.randint"]], "randn() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.randn"]], "random_sample() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.random_sample"]], "standard_normal() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.standard_normal"]], "uniform() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.uniform"]], "beta() (in module dpnp.random)": [[325, "dpnp.random.beta"]], "binomial() (in module dpnp.random)": [[326, "dpnp.random.binomial"]], "bytes() (in module dpnp.random)": [[327, "dpnp.random.bytes"]], "chisquare() (in module dpnp.random)": [[328, "dpnp.random.chisquare"]], "choice() (in module dpnp.random)": [[329, "dpnp.random.choice"]], "dirichlet() (in module dpnp.random)": [[330, "dpnp.random.dirichlet"]], "exponential() (in module dpnp.random)": [[331, "dpnp.random.exponential"]], "f() (in module dpnp.random)": [[332, "dpnp.random.f"]], "gamma() (in module dpnp.random)": [[333, "dpnp.random.gamma"]], "geometric() (in module dpnp.random)": [[334, "dpnp.random.geometric"]], "gumbel() (in module dpnp.random)": [[335, "dpnp.random.gumbel"]], "hypergeometric() (in module dpnp.random)": [[336, "dpnp.random.hypergeometric"]], "laplace() (in module dpnp.random)": [[337, "dpnp.random.laplace"]], "logistic() (in module dpnp.random)": [[338, "dpnp.random.logistic"]], "lognormal() (in module dpnp.random)": [[339, "dpnp.random.lognormal"]], "logseries() (in module dpnp.random)": [[340, "dpnp.random.logseries"]], "multinomial() (in module dpnp.random)": [[341, "dpnp.random.multinomial"]], "multivariate_normal() (in module dpnp.random)": [[342, "dpnp.random.multivariate_normal"]], "negative_binomial() (in module dpnp.random)": [[343, "dpnp.random.negative_binomial"]], "noncentral_chisquare() (in module dpnp.random)": [[344, "dpnp.random.noncentral_chisquare"]], "noncentral_f() (in module dpnp.random)": [[345, "dpnp.random.noncentral_f"]], "normal() (in module dpnp.random)": [[346, "dpnp.random.normal"]], "pareto() (in module dpnp.random)": [[347, "dpnp.random.pareto"]], "permutation() (in module dpnp.random)": [[348, "dpnp.random.permutation"]], "poisson() (in module dpnp.random)": [[349, "dpnp.random.poisson"]], "power() (in module dpnp.random)": [[350, "dpnp.random.power"]], "rand() (in module dpnp.random)": [[351, "dpnp.random.rand"]], "randint() (in module dpnp.random)": [[352, "dpnp.random.randint"]], "randn() (in module dpnp.random)": [[353, "dpnp.random.randn"]], "random() (in module dpnp.random)": [[354, "dpnp.random.random"]], "random_integers() (in module dpnp.random)": [[355, "dpnp.random.random_integers"]], "random_sample() (in module dpnp.random)": [[356, "dpnp.random.random_sample"]], "ranf() (in module dpnp.random)": [[357, "dpnp.random.ranf"]], "rayleigh() (in module dpnp.random)": [[358, "dpnp.random.rayleigh"]], "sample() (in module dpnp.random)": [[359, "dpnp.random.sample"]], "seed() (in module dpnp.random)": [[360, "dpnp.random.seed"]], "shuffle() (in module dpnp.random)": [[361, "dpnp.random.shuffle"]], "standard_cauchy() (in module dpnp.random)": [[362, "dpnp.random.standard_cauchy"]], "standard_exponential() (in module dpnp.random)": [[363, "dpnp.random.standard_exponential"]], "standard_gamma() (in module dpnp.random)": [[364, "dpnp.random.standard_gamma"]], "standard_normal() (in module dpnp.random)": [[365, "dpnp.random.standard_normal"]], "standard_t() (in module dpnp.random)": [[366, "dpnp.random.standard_t"]], "triangular() (in module dpnp.random)": [[367, "dpnp.random.triangular"]], "uniform() (in module dpnp.random)": [[368, "dpnp.random.uniform"]], "vonmises() (in module dpnp.random)": [[369, "dpnp.random.vonmises"]], "wald() (in module dpnp.random)": [[370, "dpnp.random.wald"]], "weibull() (in module dpnp.random)": [[371, "dpnp.random.weibull"]], "zipf() (in module dpnp.random)": [[372, 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372, 373, 375, 376, 377, 381, 382, 383, 385, 386, 387, 389, 391, 392, 393, 394, 395, 396, 397, 399, 400, 401, 402, 404, 406, 407, 408, 410, 412, 413, 416, 419, 420, 421, 422, 423, 424, 425, 427, 428, 438], "done": [3, 82, 264], "see": [3, 31, 84, 128, 171, 341, 385, 415, 416, 418, 419, 438], "complet": [3, 4, 384, 438], "list": [3, 6, 9, 32, 34, 35, 36, 38, 40, 41, 42, 49, 57, 61, 74, 77, 83, 84, 134, 135, 136, 142, 176, 187, 380, 386, 389, 399, 411, 424, 427], "support": [3, 9, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 52, 53, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 73, 77, 78, 80, 82, 84, 85, 88, 89, 90, 91, 92, 93, 95, 96, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 134, 135, 138, 139, 140, 143, 144, 148, 149, 150, 151, 152, 153, 158, 159, 160, 162, 165, 172, 174, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 189, 190, 191, 192, 193, 196, 197, 198, 199, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 264, 305, 306, 307, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 321, 323, 324, 325, 326, 328, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 343, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 364, 365, 366, 367, 368, 369, 370, 371, 372, 375, 377, 379, 381, 382, 385, 387, 388, 389, 391, 392, 393, 394, 395, 396, 397, 400, 401, 402, 404, 406, 407, 408, 410, 412, 413, 414, 417, 420, 421, 423, 424, 425, 428, 429, 430, 446], "along": [3, 4, 14, 16, 17, 19, 28, 29, 30, 43, 56, 57, 67, 70, 71, 74, 77, 79, 82, 83, 85, 120, 121, 122, 125, 126, 136, 138, 142, 147, 148, 171, 176, 187, 188, 190, 191, 192, 193, 194, 196, 197, 202, 203, 204, 205, 206, 207, 208, 210, 211, 212, 261, 262, 263, 270, 280, 282, 287, 288, 298, 300, 302, 304, 318, 319, 320, 376, 378, 383, 384, 386, 395, 399, 400, 402, 404, 405, 408, 409, 410, 412, 415, 418, 425, 427, 438], "limit": [3, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 34, 35, 36, 38, 45, 46, 47, 48, 49, 50, 52, 53, 55, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 73, 77, 78, 80, 82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 134, 135, 138, 139, 140, 143, 144, 145, 148, 149, 150, 151, 152, 153, 158, 159, 160, 162, 165, 172, 174, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 189, 190, 191, 192, 193, 196, 197, 198, 199, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 264, 266, 305, 306, 307, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 321, 323, 324, 325, 326, 328, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 343, 346, 347, 349, 350, 352, 355, 358, 360, 361, 362, 363, 364, 366, 367, 368, 369, 370, 371, 372, 375, 377, 379, 381, 382, 385, 387, 388, 389, 391, 392, 393, 394, 395, 396, 397, 400, 401, 402, 404, 406, 407, 408, 410, 412, 413, 414, 417, 420, 421, 423, 424, 425, 428, 429, 430], "To": 4, "program": [4, 123], "beyond": [4, 383], "cpu": [4, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 31, 32, 34, 35, 36, 38, 45, 46, 47, 48, 52, 53, 58, 59, 61, 62, 64, 65, 66, 68, 69, 70, 71, 74, 77, 78, 80, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95, 96, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 123, 124, 125, 126, 127, 134, 135, 136, 138, 139, 140, 143, 144, 148, 149, 150, 151, 152, 153, 158, 159, 160, 176, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 191, 193, 195, 197, 198, 199, 201, 204, 205, 209, 305, 306, 307, 308, 309, 310, 311, 313, 314, 315, 316, 319, 375, 377, 381, 382, 385, 387, 391, 392, 393, 394, 396, 397, 401, 404, 406, 407, 408, 412, 413, 414, 417, 420, 421, 424, 428, 429, 430], "you": [4, 405, 438], "need": [4, 137, 405], "appropri": [4, 28, 29, 137, 188, 190, 196, 202, 203, 206, 208, 324, 352, 355, 376, 438], "hardwar": 4, "work": [4, 31, 39, 72, 198, 322, 405, 426, 438], "fine": 4, "laptop": 4, "graphic": 4, "In": [4, 28, 29, 161, 187, 207, 319, 324, 368, 379, 404], "major": [4, 34, 35, 36, 38, 82, 264, 276, 373], "case": [4, 20, 28, 29, 32, 34, 35, 36, 38, 43, 61, 74, 77, 79, 88, 89, 97, 134, 135, 136, 144, 175, 176, 187, 195, 209, 308, 309, 310, 316, 317, 379, 413, 424, 429, 430], "your": 4, "window": 4, "alreadi": [4, 35, 40, 41, 42], "ha": [4, 18, 30, 43, 45, 46, 47, 48, 84, 94, 104, 109, 131, 142, 146, 149, 173, 175, 188, 192, 207, 210, 211, 212, 319, 374, 375, 376, 378, 384, 398, 399, 400, 402, 403, 409, 425, 438], "all": [4, 6, 9, 15, 19, 33, 43, 56, 67, 79, 82, 83, 84, 92, 93, 95, 97, 120, 121, 122, 136, 142, 144, 161, 176, 187, 202, 203, 206, 208, 211, 264, 267, 273, 286, 317, 326, 383, 386, 396, 398, 427, 438], "necessari": [4, 20, 32, 34, 35, 36, 38, 40, 63, 136, 176, 187, 192, 207, 210, 211, 212, 379, 400, 402, 425], "But": [4, 84], "want": [4, 405], "up": [4, 84, 122], "date": 4, "alwai": [4, 30, 34, 82, 210, 212, 264, 379, 400, 425], "updat": 4, "latest": [4, 128], "follow": [4, 43, 84, 94, 118, 145, 438, 442], "instruct": 4, "step": [4, 20, 136, 176, 187], "8": [4, 13, 15, 40, 52, 55, 63, 74, 75, 79, 82, 84, 120, 136, 146, 150, 163, 173, 175, 176, 187, 204, 315, 316, 318, 324, 348, 367, 374, 383, 387, 393, 404, 408, 412, 414, 417, 424, 428], "9": [4, 13, 40, 55, 63, 74, 75, 80, 82, 88, 98, 124, 136, 175, 187, 201, 278, 318, 324, 326, 328, 348, 374, 383, 396, 401, 408, 414, 417, 420, 424, 428], "10": [4, 13, 22, 24, 28, 29, 43, 55, 61, 71, 75, 79, 82, 84, 95, 134, 136, 141, 146, 158, 178, 179, 180, 181, 187, 188, 193, 201, 292, 318, 320, 324, 326, 336, 348, 376, 380, 381, 383, 385, 399, 405, 414, 417, 428], "If": [4, 15, 20, 28, 29, 30, 32, 34, 35, 36, 37, 38, 43, 55, 57, 74, 79, 81, 82, 84, 94, 97, 118, 120, 136, 142, 146, 147, 161, 169, 170, 171, 175, 176, 187, 188, 190, 192, 194, 196, 202, 203, 206, 207, 208, 210, 211, 212, 264, 294, 296, 320, 324, 346, 368, 374, 375, 376, 379, 383, 386, 395, 396, 398, 399, 400, 402, 403, 405, 409, 411, 424, 425, 427, 438], "yet": [4, 6], "easiest": 4, "It": [4, 28, 29, 55, 81, 188, 190, 192, 196, 202, 203, 206, 207, 208, 210, 211, 212, 376, 400, 402, 425], "essenti": 4, "machin": [4, 118, 145], "optim": [4, 87], "includ": [4, 20, 28, 29, 32, 34, 35, 36, 37, 38, 43, 61, 74, 77, 134, 135, 136, 137, 176, 187, 188, 190, 192, 196, 202, 203, 206, 207, 208, 210, 211, 212, 317, 324, 368, 376, 400, 402, 424, 425], "anoth": [4, 63, 82, 128, 269, 288, 319, 384], "vendor": 4, "too": 4, "manual": [4, 84, 409], "shown": 4, "next": [4, 118], "section": [4, 84, 438], "recommend": [4, 306, 409], "org": 4, "channel": 4, "command": 4, "forg": 4, "pip": 4, "http": [4, 128], "pypi": 4, "simpl": [4, 186, 442], "These": [4, 84, 94, 200, 438, 442], "its": [4, 6, 15, 30, 31, 43, 58, 59, 74, 82, 99, 105, 118, 143, 144, 165, 166, 192, 207, 210, 212, 303, 361, 373, 376, 379, 385, 395, 400, 411, 413, 425, 438], "depend": [4, 165, 171, 175, 176, 389, 428], "control": [4, 51, 57, 63, 82, 142, 264, 386, 399, 427], "requir": [4, 6, 32, 36, 38, 82, 84, 147, 264], "compil": [4, 84, 137], "runtim": 4, "onemkl": 4, "befor": [4, 30, 57, 82, 121, 122, 188, 210, 211, 212, 286, 296, 376, 383, 384, 395, 400, 402, 409, 425], "strongli": [4, 409], "advis": 4, "version": [4, 82, 84, 275, 306], "activ": 4, "local": 4, "environ": 4, "env": 4, "And": [4, 75, 82, 264], "sourc": [4, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 305, 306, 307, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430], "recip": 4, "finanli": 4, "setuptool": 4, "o": [4, 84], "On": 4, "linux": 4, "cython": 4, "dpcpp_linux": 4, "mkl": 4, "devel": 4, "dpcpp": 4, "tbb": 4, "onedpl": 4, "cmake": 4, "ninja": 4, "pytest": 4, "dpcpp_win": 4, "setup": 4, "py": 4, "g": [4, 82, 84, 88, 89, 97, 134, 135, 144, 299, 309, 310, 324, 413, 429, 430], "dcmake_c_compil": 4, "path": 4, "icx": 4, "dcmake_cxx_compil": 4, "icpx": 4, "script": 4, "build_loc": 4, "suit": 4, "element": [4, 11, 12, 13, 14, 15, 18, 19, 21, 22, 23, 24, 25, 26, 27, 30, 31, 33, 43, 44, 45, 46, 47, 48, 52, 53, 55, 58, 59, 62, 63, 65, 66, 70, 71, 79, 80, 82, 84, 85, 90, 92, 93, 95, 96, 97, 98, 120, 121, 122, 123, 124, 125, 126, 127, 139, 140, 143, 144, 146, 147, 149, 150, 151, 152, 153, 158, 159, 160, 161, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 190, 191, 194, 196, 197, 198, 199, 201, 204, 205, 206, 208, 209, 210, 211, 212, 259, 260, 267, 268, 270, 272, 273, 276, 278, 279, 281, 283, 285, 286, 291, 292, 293, 295, 298, 299, 302, 304, 305, 306, 307, 313, 314, 315, 316, 317, 319, 321, 373, 374, 375, 376, 377, 378, 379, 381, 382, 383, 384, 385, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 400, 401, 402, 404, 406, 407, 409, 414, 417, 420, 421, 422, 425, 428, 438, 442], "asarrai": [4, 6, 34, 36, 38, 39], "y": [4, 20, 32, 34, 35, 36, 38, 40, 49, 61, 68, 69, 74, 77, 82, 84, 88, 89, 94, 97, 131, 134, 135, 136, 138, 144, 176, 187, 194, 195, 199, 269, 292, 303, 308, 309, 310, 396, 412, 413, 424, 428, 429, 430], "locat": [4, 137, 335, 337], "same": [4, 13, 15, 26, 30, 31, 33, 36, 38, 39, 43, 45, 47, 48, 50, 56, 57, 62, 72, 79, 80, 81, 82, 83, 89, 90, 94, 96, 124, 125, 126, 127, 128, 135, 139, 140, 142, 143, 158, 159, 160, 177, 182, 183, 184, 185, 186, 190, 191, 192, 196, 197, 198, 201, 206, 207, 208, 210, 211, 212, 264, 292, 307, 310, 311, 315, 319, 320, 322, 324, 346, 352, 368, 373, 375, 377, 378, 381, 383, 384, 386, 395, 396, 397, 398, 399, 400, 401, 402, 405, 414, 416, 417, 419, 420, 425, 426, 427, 430], "shape": [4, 6, 28, 29, 32, 33, 36, 42, 43, 49, 50, 52, 55, 57, 62, 64, 68, 69, 75, 79, 81, 82, 83, 84, 88, 89, 93, 94, 96, 120, 131, 134, 135, 142, 147, 163, 167, 169, 173, 174, 175, 183, 184, 185, 186, 188, 189, 190, 192, 194, 195, 196, 200, 202, 203, 206, 207, 208, 210, 211, 212, 264, 292, 297, 303, 308, 309, 310, 319, 320, 324, 333, 336, 341, 342, 347, 351, 352, 353, 354, 355, 356, 357, 359, 364, 365, 371, 373, 375, 376, 378, 379, 383, 384, 386, 387, 395, 396, 397, 398, 399, 400, 402, 404, 409, 411, 413, 414, 417, 418, 425, 427, 429, 430, 431, 442], "0": [4, 6, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 38, 40, 41, 42, 43, 44, 51, 53, 55, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 73, 74, 75, 77, 78, 79, 80, 81, 82, 84, 85, 88, 89, 90, 91, 92, 94, 95, 97, 98, 101, 115, 118, 120, 121, 122, 123, 124, 125, 126, 127, 134, 135, 136, 138, 141, 144, 147, 148, 151, 152, 153, 161, 165, 167, 173, 176, 177, 178, 179, 180, 181, 184, 186, 187, 189, 190, 191, 192, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 269, 271, 273, 277, 278, 290, 293, 296, 298, 299, 300, 303, 304, 306, 308, 309, 310, 315, 316, 317, 318, 319, 320, 323, 324, 326, 331, 333, 334, 335, 337, 338, 339, 341, 342, 343, 346, 348, 349, 350, 351, 354, 356, 357, 358, 359, 362, 365, 367, 368, 369, 375, 377, 378, 382, 383, 384, 385, 387, 389, 390, 391, 393, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 405, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 424, 425, 428, 429, 430], "expect": [4, 18, 52, 62, 81, 84, 93, 188, 192, 207, 210, 211, 212, 375, 376, 387, 400, 402, 425], "comput": [4, 26, 31, 43, 45, 46, 47, 48, 53, 79, 94, 98, 99, 100, 101, 102, 104, 105, 106, 107, 109, 110, 111, 112, 113, 114, 115, 116, 123, 124, 141, 147, 148, 149, 162, 163, 164, 166, 167, 170, 171, 172, 173, 175, 183, 184, 185, 186, 188, 190, 192, 193, 196, 198, 206, 207, 208, 210, 211, 212, 376, 377, 382, 385, 387, 400, 402, 407, 408, 421, 425], "empti": [4, 6, 32, 82, 89, 134, 135, 211, 273, 309, 310, 429, 430], "found": [4, 438], "here": [6, 30, 84, 395], "correspond": [6, 20, 28, 29, 32, 34, 35, 36, 37, 38, 55, 57, 61, 74, 77, 82, 88, 89, 97, 134, 135, 136, 144, 147, 165, 176, 187, 195, 272, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 383, 390, 400, 411, 413, 424, 425, 429, 430, 438], "column": [6, 34, 35, 36, 38, 56, 57, 82, 83, 97, 121, 122, 142, 144, 165, 170, 175, 264, 276, 373, 386, 399, 413, 415, 418, 424, 427], "v1": 6, "23": [6, 324], "v0": 6, "11": [6, 28, 29, 43, 66, 75, 82, 138, 292, 343, 352, 385, 394, 414, 417], "457": 6, "gac1fca74": 6, "v9": 6, "397": 6, "233": 6, "299": 6, "56": 6, "36": 6, "47": 6, "20": [6, 147, 158, 320, 326, 341, 405], "15": [6, 28, 29, 71, 75, 179, 348], "16": [6, 45, 75, 84, 136, 138, 201, 315, 406], "18": [6, 84, 85, 187], "51": 6, "48": [6, 204], "49": 6, "total": [6, 67, 82, 283, 400, 425], "542": 6, "350": 6, "429": 6, "ab": [6, 12], 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401, 420], "broadcast": [13, 43, 49, 50, 55, 63, 80, 125, 126, 143, 171, 183, 185, 186, 188, 189, 191, 192, 197, 201, 207, 210, 211, 212, 315, 319, 320, 376, 378, 400, 401, 402, 405, 409, 420, 425], "b": [13, 15, 28, 29, 45, 48, 56, 57, 63, 70, 71, 81, 82, 83, 84, 85, 90, 127, 139, 140, 142, 148, 159, 160, 163, 173, 174, 175, 183, 185, 189, 190, 196, 204, 205, 307, 311, 315, 325, 386, 399, 408, 409, 412, 427], "7": [13, 15, 20, 40, 53, 55, 63, 67, 71, 74, 75, 79, 80, 82, 85, 92, 120, 123, 136, 138, 150, 175, 193, 201, 205, 278, 306, 317, 318, 324, 348, 374, 377, 380, 382, 383, 401, 402, 403, 404, 408, 414, 417, 420, 421, 428], "oper": [13, 45, 46, 47, 48, 80, 84, 90, 94, 124, 139, 140, 149, 158, 159, 160, 161, 183, 184, 185, 186, 189, 201, 305, 307, 314, 315, 319, 377, 381, 401, 409, 420, 431, 442], "axi": [14, 16, 17, 18, 19, 28, 29, 30, 43, 56, 57, 67, 69, 70, 71, 79, 82, 83, 85, 94, 99, 104, 105, 109, 110, 113, 120, 121, 122, 125, 126, 136, 138, 142, 147, 171, 176, 187, 188, 190, 191, 192, 193, 196, 197, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 259, 260, 261, 262, 263, 270, 280, 281, 282, 286, 287, 288, 291, 296, 297, 298, 300, 302, 304, 312, 316, 318, 319, 320, 373, 376, 378, 379, 383, 384, 386, 395, 398, 399, 400, 402, 403, 404, 405, 409, 411, 412, 425, 427, 438], "keepdim": [14, 16, 17, 19, 28, 29, 43, 67, 82, 171, 188, 190, 192, 193, 196, 202, 203, 206, 207, 208, 209, 210, 211, 212, 259, 260, 261, 262, 280, 281, 282, 287, 298, 300, 304, 316, 318, 320, 376, 400, 402, 405, 425], "fals": [14, 15, 16, 17, 18, 19, 28, 29, 32, 33, 36, 38, 43, 45, 46, 48, 49, 50, 51, 61, 67, 68, 82, 84, 89, 90, 117, 135, 136, 139, 140, 147, 149, 150, 151, 152, 153, 159, 160, 161, 169, 171, 175, 176, 183, 184, 185, 186, 187, 188, 190, 192, 193, 194, 196, 202, 203, 206, 207, 208, 209, 210, 211, 212, 259, 260, 261, 262, 264, 280, 281, 282, 287, 298, 300, 304, 307, 310, 316, 318, 376, 379, 392, 400, 402, 424, 425, 430], "whether": [14, 15, 19, 84, 161, 176, 379], "given": [14, 19, 20, 28, 29, 31, 32, 34, 35, 36, 38, 43, 56, 61, 67, 68, 70, 71, 79, 81, 82, 83, 84, 85, 88, 89, 117, 120, 125, 126, 134, 135, 136, 138, 143, 167, 176, 187, 190, 191, 194, 196, 197, 204, 205, 206, 208, 209, 210, 211, 212, 261, 262, 264, 270, 282, 287, 288, 293, 298, 300, 304, 309, 310, 316, 318, 319, 324, 329, 351, 368, 376, 378, 382, 383, 384, 385, 386, 400, 402, 409, 412, 413, 425, 427, 429, 430, 438], "evalu": [14, 15, 19, 82, 86, 87, 90, 148, 194, 259, 260, 311, 408], "logic": [14, 19, 183, 185, 186, 431, 442], "AND": [14, 45, 46, 47, 48, 149, 183, 184, 185, 186], "reduct": [14, 19], "method": [14, 16, 17, 19, 30, 61, 81, 82, 84, 119, 128, 130, 169, 175, 264, 269, 292, 324, 379, 390, 402, 411, 431], "Not": [14, 19, 151, 204, 206, 208, 209, 211, 316], "number": [14, 18, 19, 20, 31, 43, 44, 49, 50, 58, 59, 67, 77, 79, 82, 84, 94, 97, 118, 123, 124, 136, 144, 145, 151, 162, 169, 171, 173, 175, 176, 177, 187, 204, 206, 208, 209, 210, 211, 212, 284, 293, 294, 295, 306, 316, 317, 324, 326, 336, 360, 377, 378, 382, 383, 384, 385, 391, 392, 400, 403, 409, 411, 413, 421, 424, 425, 442], "becaus": [14, 19], "x3": [14, 19], "rtol": [15, 150], "1e": [15, 95, 150, 179, 180, 182, 342], "05": [15, 150], "atol": [15, 150], "08": [15, 65, 150, 342, 393], "two": [15, 33, 40, 41, 45, 46, 47, 48, 60, 64, 69, 77, 79, 81, 82, 84, 86, 87, 148, 149, 150, 157, 165, 170, 174, 183, 185, 186, 189, 190, 191, 196, 197, 200, 206, 208, 286, 301, 311, 324, 353, 403, 415, 418, 426], "within": [15, 20, 33, 82, 150, 264, 319, 324, 368], "toler": [15, 33, 150], "A": [15, 20, 32, 34, 35, 36, 37, 38, 49, 50, 52, 55, 56, 61, 62, 63, 74, 77, 82, 84, 88, 89, 93, 94, 97, 120, 121, 122, 128, 130, 133, 134, 135, 136, 144, 147, 161, 166, 173, 176, 187, 195, 209, 211, 264, 269, 276, 294, 308, 309, 310, 316, 324, 326, 343, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 373, 375, 378, 387, 392, 403, 409, 411, 413, 424, 429, 430], "boolean": [15, 45, 47, 48, 63, 84, 147, 150, 151, 152, 153, 183, 184, 185, 186, 188, 192, 207, 209, 210, 211, 212, 376, 379, 392, 400, 402, 404, 425], "dim": 15, "typeerror": [15, 43, 63, 67, 77, 99, 105, 113, 424], "rais": [15, 30, 32, 34, 35, 36, 38, 49, 50, 54, 55, 61, 63, 67, 77, 81, 82, 93, 99, 105, 113, 168, 188, 190, 192, 196, 202, 203, 206, 207, 208, 210, 211, 212, 264, 265, 294, 315, 376, 379, 395, 397, 398, 400, 402, 424, 425], "integ": [15, 20, 31, 43, 45, 46, 47, 48, 50, 77, 82, 84, 123, 124, 145, 149, 150, 158, 168, 171, 188, 190, 192, 196, 206, 207, 208, 210, 211, 212, 296, 315, 319, 324, 352, 355, 360, 376, 377, 379, 381, 382, 385, 397, 400, 402, 404, 413, 414, 417, 421, 424, 425, 438], "1e10": [15, 150], "00001e10": [15, 150], "initi": [16, 17, 82, 88, 133, 190, 196, 206, 208, 209, 211, 280, 282, 287, 300, 316, 324, 402], "alia": [16, 17, 80, 118, 213, 324, 354, 357, 359, 386, 420, 427], "z": [18, 20, 32, 34, 35, 36, 38, 61, 74, 77, 88, 89, 97, 131, 134, 135, 136, 144, 176, 187, 194, 195, 308, 309, 310, 334, 413, 424, 429, 430], "deg": [18, 323], "point": [18, 20, 25, 34, 35, 43, 62, 84, 88, 89, 93, 97, 118, 134, 135, 144, 176, 188, 192, 207, 210, 211, 212, 309, 310, 324, 353, 365, 375, 376, 387, 400, 402, 413, 425, 429, 430, 442], "option": [18, 20, 28, 29, 30, 32, 34, 35, 36, 37, 38, 43, 51, 52, 55, 57, 61, 62, 63, 74, 77, 79, 81, 82, 84, 88, 89, 93, 97, 120, 134, 135, 136, 142, 144, 147, 161, 169, 170, 171, 175, 176, 187, 188, 190, 192, 194, 195, 196, 202, 203, 206, 207, 208, 210, 211, 212, 264, 276, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 373, 375, 376, 378, 379, 383, 384, 386, 387, 395, 398, 399, 400, 402, 404, 411, 413, 414, 415, 416, 417, 418, 419, 424, 425, 427, 429, 430], "counterclockwis": 18, "plane": 18, "determin": [18, 156, 163, 173, 183, 185, 186], "promot": [18, 20, 32, 34, 35, 36, 38, 51, 136, 176, 187, 380, 409], "rule": [18, 20, 32, 34, 35, 36, 38, 43, 51, 63, 136, 176, 187, 188, 189, 192, 207, 210, 211, 212, 376, 380, 400, 402, 412, 425], "although": [18, 84, 409], "undefin": [18, 82, 286], "arc": [18, 25, 26], "tangent": [18, 21, 22, 23, 24, 25, 26, 27, 65, 66, 393, 394, 406, 407], "quadrant": [18, 25, 26], "correctli": [18, 25, 26, 171, 306], "trigonometr": [18, 21, 22, 23, 24, 25, 26, 27, 65, 66, 393, 394, 406, 407, 442], "invers": [18, 21, 22, 23, 24, 25, 26, 27, 46, 65, 66, 93, 94, 95, 105, 106, 107, 108, 109, 110, 111, 112, 149, 167, 178, 180, 370, 393, 394, 406, 407], "0j": [18, 81, 82, 189, 277, 290, 391], "57079633": [18, 26, 323, 423], "78539816": [18, 25, 26, 423], "mai": [18, 51, 55, 57, 63, 82, 84, 94, 142, 165, 187, 207, 210, 212, 264, 320, 386, 399, 409, 427, 438], "vari": [18, 147, 165, 207, 210, 212], "90": [18, 73, 428], "45": [18, 26], "OR": [19, 45, 46, 47, 48, 149, 183, 184, 185, 186], "stop": [20, 136, 176, 187], "like": [20, 32, 34, 35, 36, 38, 40, 41, 42, 56, 82, 83, 88, 97, 134, 136, 144, 176, 177, 187, 264, 309, 324, 368, 379, 429, 442], "usm_typ": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 82, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 365, 368, 413, 424, 429, 430], "sycl_queu": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 82, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 413, 424, 429, 430], "evenli": [20, 136, 176, 187, 382, 385], "interv": [20, 94, 136, 176, 187, 324, 352, 354, 356, 357, 359, 367, 368, 403], "end": [20, 84, 136, 176, 187], "doe": [20, 51], "some": [20, 84, 94, 96, 123, 438], "off": 20, "affect": 20, "length": [20, 43, 79, 82, 90, 136, 142, 175, 187, 194, 294, 327, 379, 380, 386, 390, 398, 409, 427], "between": [20, 51, 79, 85, 118, 166, 176, 187, 341, 355, 423], "specifi": [20, 30, 32, 34, 35, 36, 38, 43, 50, 51, 57, 61, 74, 77, 78, 82, 88, 89, 97, 120, 134, 135, 136, 144, 148, 171, 176, 187, 188, 192, 193, 195, 207, 209, 210, 211, 212, 263, 271, 308, 309, 310, 316, 324, 337, 347, 365, 373, 376, 383, 384, 399, 400, 402, 408, 411, 413, 424, 425, 429, 430], "must": [20, 28, 29, 43, 50, 52, 55, 56, 57, 62, 79, 81, 83, 93, 94, 96, 121, 142, 161, 170, 171, 177, 188, 190, 192, 196, 200, 202, 203, 206, 207, 208, 210, 211, 212, 319, 320, 375, 376, 383, 386, 387, 399, 400, 402, 403, 405, 411, 425, 427], "desir": [20, 32, 34, 35, 36, 38, 50, 88, 89, 97, 134, 135, 136, 144, 176, 187, 309, 310, 384, 409, 413, 429, 430], "repres": [20, 32, 34, 35, 36, 37, 38, 43, 82, 84, 128, 136, 147, 173, 176, 187, 194, 212, 294, 324, 438], "consid": [20, 32, 34, 35, 36, 38, 87, 136, 151, 169, 176, 187, 324, 352], "capabl": [20, 32, 34, 35, 36, 38, 43, 136, 176, 187], "when": [20, 32, 34, 35, 36, 38, 43, 61, 63, 82, 84, 136, 171, 176, 187, 206, 208, 264, 384, 404, 413, 428], "string": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 84, 88, 89, 97, 133, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 413, 424, 429, 430, 438], "sycldevic": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 413, 424, 429, 430], "syclqueu": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 413, 424, 429, 430], "concept": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 413, 424, 429, 430, 438], "output": [20, 30, 32, 34, 35, 36, 37, 38, 52, 55, 61, 62, 74, 77, 79, 81, 84, 88, 89, 90, 93, 97, 134, 135, 136, 139, 140, 144, 146, 147, 159, 160, 168, 170, 176, 187, 192, 194, 195, 203, 207, 210, 211, 212, 255, 307, 308, 309, 310, 324, 325, 326, 328, 331, 332, 333, 334, 335, 336, 337, 338, 339, 343, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 374, 375, 378, 387, 395, 398, 400, 402, 409, 413, 424, 425, 429, 430, 442], "oneapi": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 413, 424, 429, 430], "filter": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 413, 424, 429, 430], "selector": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 413, 424, 429, 430], "non": [20, 28, 29, 32, 34, 35, 36, 37, 38, 43, 44, 61, 67, 74, 77, 82, 88, 89, 97, 134, 135, 136, 144, 147, 151, 165, 176, 187, 190, 195, 196, 202, 203, 206, 208, 210, 212, 285, 306, 308, 309, 310, 315, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 396, 413, 424, 429, 430], "object": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 82, 84, 88, 89, 94, 97, 118, 119, 128, 132, 134, 135, 136, 144, 145, 147, 165, 171, 176, 177, 187, 195, 292, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 379, 413, 424, 429, 430, 438], "dpnp_arrai": [20, 32, 34, 35, 36, 38, 61, 74, 77, 81, 88, 89, 97, 118, 128, 134, 135, 136, 144, 145, 147, 176, 187, 195, 212, 213, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 400, 413, 414, 417, 424, 425, 429, 430, 431], "properti": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 82, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 214, 272, 274, 275, 277, 279, 283, 284, 290, 294, 295, 299, 303, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 360, 365, 368, 413, 424, 429, 430, 438], "share": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 365, 368, 413, 424, 429, 430], "usm": [20, 32, 34, 35, 36, 37, 38, 61, 74, 77, 88, 89, 97, 134, 135, 136, 144, 147, 176, 187, 195, 308, 309, 310, 324, 346, 351, 352, 353, 354, 355, 356, 357, 359, 365, 368, 398, 413, 424, 429, 430], "d": [20, 43, 56, 57, 74, 75, 77, 81, 83, 84, 97, 100, 101, 102, 106, 107, 111, 112, 114, 115, 116, 121, 122, 133, 142, 144, 163, 165, 170, 171, 173, 189, 194, 306, 315, 319, 329, 373, 379, 386, 390, 399, 404, 409, 424, 427, 428, 438], "care": 20, "handl": [20, 84, 306, 404, 442], "endpoint": [20, 136, 176, 187], "level_zero": [20, 32, 34, 35, 36, 38, 61, 74, 77, 88, 89, 97, 134, 135, 136, 144, 176, 187, 195, 308, 309, 310, 413, 424, 429, 430], "cosin": [21, 22, 23, 24, 25, 26, 27, 65, 66, 393, 394, 406, 407], "sine": [21, 22, 23, 24, 25, 26, 27, 65, 66, 393, 394, 406, 407], "hyperbol": [21, 22, 23, 24, 25, 26, 27, 65, 66, 393, 394, 406, 407, 442], "14159265": [21, 26], "65745445": 22, "99322285": 22, "5707963267948966": 23, "72538256": 24, "99822295": 24, "180": 26, "135": 26, "54930614": 27, "search": [28, 29, 202, 203, 431, 442], "index": [28, 29, 30, 54, 82, 84, 97, 147, 194, 202, 203, 265, 299, 319, 320, 373, 379, 404, 405, 431, 442], "should": [28, 29, 81, 82, 137, 150, 188, 190, 196, 200, 202, 203, 206, 208, 264, 341, 376, 379, 388, 438], "reduc": [28, 29, 43, 172, 175, 188, 190, 192, 194, 196, 202, 203, 206, 207, 208, 210, 211, 212, 376, 400, 402, 425], "ax": [28, 29, 43, 79, 81, 82, 94, 100, 102, 103, 106, 107, 108, 111, 112, 114, 116, 120, 148, 171, 174, 188, 189, 190, 192, 196, 200, 202, 203, 206, 207, 208, 210, 211, 212, 294, 301, 303, 376, 383, 384, 398, 400, 402, 403, 408, 409, 411, 425], "dimens": [28, 29, 32, 40, 41, 42, 43, 56, 57, 63, 68, 75, 79, 82, 84, 94, 121, 122, 142, 147, 171, 188, 190, 192, 194, 195, 196, 200, 202, 203, 206, 207, 208, 210, 211, 212, 276, 284, 294, 308, 320, 324, 354, 356, 357, 359, 376, 379, 390, 398, 399, 400, 402, 403, 405, 409, 415, 416, 418, 419, 425, 438, 442], "singleton": [28, 29, 43, 94, 188, 190, 192, 196, 202, 203, 206, 207, 208, 210, 211, 212, 376, 398, 400, 402, 425], "accordingli": [28, 29, 190, 196, 202, 203, 206, 208], "first": [28, 29, 30, 43, 56, 57, 62, 81, 84, 93, 120, 155, 156, 170, 190, 194, 196, 202, 203, 315, 373, 379, 383, 386, 395, 397, 403, 405, 427], "occurr": [28, 29, 44, 202, 203], "igonr": [28, 29, 202, 203], "convert": [28, 29, 32, 34, 35, 36, 37, 38, 40, 41, 42, 61, 72, 73, 74, 77, 84, 134, 135, 136, 176, 187, 322, 323, 423, 424], "flat": [28, 29, 82, 119, 276, 378], "tupl": [28, 29, 32, 34, 35, 36, 38, 43, 50, 61, 74, 75, 77, 82, 84, 94, 120, 134, 135, 136, 147, 171, 176, 187, 188, 190, 192, 194, 195, 196, 206, 207, 208, 210, 211, 212, 294, 306, 308, 376, 379, 383, 390, 398, 400, 402, 409, 411, 415, 418, 424, 425, 438], "appli": [28, 29, 30, 43, 51, 183, 185, 186, 380], "index_arrai": [28, 29, 30], "call": [28, 29, 30, 36, 38, 84, 170, 219, 398, 409, 428], "multipl": [28, 29, 30, 43, 57, 84, 142, 165, 166, 167, 188, 190, 192, 196, 206, 207, 208, 210, 211, 212, 376, 386, 395, 399, 400, 402, 425, 427, 431], "12": [28, 29, 42, 75, 84, 146, 187, 316, 318, 348, 414, 417], "13": [28, 29, 46, 75, 81, 84, 149, 189, 205], "14": [28, 29, 45, 46, 75, 81, 149, 408], "24": [28, 29, 70, 85, 316], "re": [28, 29, 44, 141, 383, 422], "kind": [30, 51, 57, 63, 82, 84, 118, 142, 188, 211, 263, 264, 286, 296, 312, 376, 386, 395, 399, 402, 427, 442], "would": [30, 57, 82, 84, 147, 286, 324, 395, 399, 405, 411], "last": [30, 79, 120, 136, 170, 176, 187, 373, 379, 383, 395, 398], "stabl": [30, 395], "unlik": [30, 82, 292, 395], "other": [30, 49, 50, 79, 82, 84, 123, 144, 170, 200, 216, 217, 220, 222, 223, 225, 226, 227, 228, 229, 230, 231, 234, 235, 236, 237, 238, 239, 240, 242, 243, 244, 245, 246, 249, 251, 253, 256, 257, 258, 264, 317, 324, 368, 384, 395, 431, 442], "accept": [30, 324, 395], "yield": [30, 324, 438], "gener": [30, 43, 84, 136, 166, 187, 324, 326, 329, 360, 424, 438, 442], "irrespect": 30, "axiserror": [30, 395], "notimplementederror": [30, 49, 50, 55, 82, 190, 192, 196, 206, 207, 208, 210, 211, 212, 264, 395, 400, 402, 425], "indirect": [30, 395], "partial": [30, 395], "ind": [30, 415, 418], "decim": [31, 82, 118, 293, 382, 385], "detail": [31, 128, 385, 415, 416, 418, 419, 438], "nearest": [31, 123, 124, 377, 382, 385, 421], "truncat": [31, 53, 123, 362, 382, 385, 421], "ndmin": 32, "array_lik": [32, 34, 35, 36, 37, 38, 43, 61, 63, 74, 77, 134, 135, 136, 166, 168, 169, 170, 171, 176, 187, 320, 324, 390, 416, 419, 424], "form": [32, 34, 35, 36, 37, 38, 56, 61, 74, 77, 83, 134, 135, 136, 176, 187, 386, 424, 427], "layout": [32, 34, 35, 36, 38, 52, 55, 61, 62, 82, 88, 89, 93, 97, 134, 135, 274, 309, 310, 375, 379, 387, 429, 430, 431], "newli": [32, 34, 35, 52, 55, 61, 62, 82, 88, 89, 93, 97, 134, 135, 264, 309, 310, 375, 387, 429, 430], "satisfi": [32, 36, 38, 82, 96, 167, 264], "valueerror": [32, 34, 35, 36, 38, 61, 202, 203, 379, 398], "new": [32, 49, 50, 56, 57, 82, 83, 84, 88, 89, 94, 128, 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method)": [[82, "dpnp.dpnp_array.dpnp_array.nonzero"]], "partition() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.partition"]], "prod() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.prod"]], "put() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.put"]], "ravel() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.ravel"]], "real (dpnp.dpnp_array.dpnp_array attribute)": [[82, "dpnp.dpnp_array.dpnp_array.real"]], "repeat() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.repeat"]], "reshape() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.reshape"]], "round() (dpnp.dpnp_array.dpnp_array method)": [[82, "dpnp.dpnp_array.dpnp_array.round"]], "shape (dpnp.dpnp_array.dpnp_array attribute)": [[82, "dpnp.dpnp_array.dpnp_array.shape"]], "size (dpnp.dpnp_array.dpnp_array attribute)": [[82, "dpnp.dpnp_array.dpnp_array.size"]], "sort() 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"__pos__() (dpnp.ndarray method)": [[250, "dpnp.ndarray.__pos__"]], "__pow__() (dpnp.ndarray method)": [[251, "dpnp.ndarray.__pow__"]], "__repr__() (dpnp.ndarray method)": [[252, "dpnp.ndarray.__repr__"]], "__rshift__() (dpnp.ndarray method)": [[253, "dpnp.ndarray.__rshift__"]], "__setitem__() (dpnp.ndarray method)": [[254, "dpnp.ndarray.__setitem__"]], "__str__() (dpnp.ndarray method)": [[255, "dpnp.ndarray.__str__"]], "__sub__() (dpnp.ndarray method)": [[256, "dpnp.ndarray.__sub__"]], "__truediv__() (dpnp.ndarray method)": [[257, "dpnp.ndarray.__truediv__"]], "__xor__() (dpnp.ndarray method)": [[258, "dpnp.ndarray.__xor__"]], "all() (dpnp.ndarray method)": [[259, "dpnp.ndarray.all"]], "any() (dpnp.ndarray method)": [[260, "dpnp.ndarray.any"]], "argmax() (dpnp.ndarray method)": [[261, "dpnp.ndarray.argmax"]], "argmin() (dpnp.ndarray method)": [[262, "dpnp.ndarray.argmin"]], "argsort() (dpnp.ndarray method)": [[263, "dpnp.ndarray.argsort"]], "astype() (dpnp.ndarray method)": [[264, "dpnp.ndarray.astype"]], "choose() (dpnp.ndarray method)": [[265, "dpnp.ndarray.choose"]], "clip() (dpnp.ndarray method)": [[266, "dpnp.ndarray.clip"]], "conj() (dpnp.ndarray method)": [[267, "dpnp.ndarray.conj"]], "conjugate() (dpnp.ndarray method)": [[268, "dpnp.ndarray.conjugate"]], "copy() (dpnp.ndarray method)": [[269, "dpnp.ndarray.copy"]], "cumsum() (dpnp.ndarray method)": [[270, "dpnp.ndarray.cumsum"]], "diagonal() (dpnp.ndarray method)": [[271, "dpnp.ndarray.diagonal"]], "dtype (dpnp.ndarray property)": [[272, "dpnp.ndarray.dtype"]], "fill() (dpnp.ndarray method)": [[273, "dpnp.ndarray.fill"]], "flags (dpnp.ndarray property)": [[274, "dpnp.ndarray.flags"]], "flat (dpnp.ndarray property)": [[275, "dpnp.ndarray.flat"]], "flatten() (dpnp.ndarray method)": [[276, "dpnp.ndarray.flatten"]], "imag (dpnp.ndarray property)": [[277, "dpnp.ndarray.imag"]], "item() (dpnp.ndarray method)": [[278, "dpnp.ndarray.item"]], "itemsize (dpnp.ndarray property)": [[279, "dpnp.ndarray.itemsize"]], "max() (dpnp.ndarray method)": [[280, "dpnp.ndarray.max"]], "mean() (dpnp.ndarray method)": [[281, "dpnp.ndarray.mean"]], "min() (dpnp.ndarray method)": [[282, "dpnp.ndarray.min"]], "nbytes (dpnp.ndarray property)": [[283, "dpnp.ndarray.nbytes"]], "ndim (dpnp.ndarray property)": [[284, "dpnp.ndarray.ndim"]], "nonzero() (dpnp.ndarray method)": [[285, "dpnp.ndarray.nonzero"]], "partition() (dpnp.ndarray method)": [[286, "dpnp.ndarray.partition"]], "prod() (dpnp.ndarray method)": [[287, "dpnp.ndarray.prod"]], "put() (dpnp.ndarray method)": [[288, "dpnp.ndarray.put"]], "ravel() (dpnp.ndarray method)": [[289, "dpnp.ndarray.ravel"]], "real (dpnp.ndarray property)": [[290, "dpnp.ndarray.real"]], "repeat() (dpnp.ndarray method)": [[291, "dpnp.ndarray.repeat"]], "reshape() (dpnp.ndarray method)": [[292, "dpnp.ndarray.reshape"]], "round() (dpnp.ndarray method)": [[293, "dpnp.ndarray.round"]], "shape (dpnp.ndarray property)": [[294, "dpnp.ndarray.shape"]], "size (dpnp.ndarray property)": [[295, "dpnp.ndarray.size"]], "sort() (dpnp.ndarray method)": [[296, "dpnp.ndarray.sort"]], "squeeze() (dpnp.ndarray method)": [[297, "dpnp.ndarray.squeeze"]], "std() (dpnp.ndarray method)": [[298, "dpnp.ndarray.std"]], "strides (dpnp.ndarray property)": [[299, "dpnp.ndarray.strides"]], "sum() (dpnp.ndarray method)": [[300, "dpnp.ndarray.sum"]], "swapaxes() (dpnp.ndarray method)": [[301, "dpnp.ndarray.swapaxes"]], "take() (dpnp.ndarray method)": [[302, "dpnp.ndarray.take"]], "transpose() (dpnp.ndarray method)": [[303, "dpnp.ndarray.transpose"]], "var() (dpnp.ndarray method)": [[304, "dpnp.ndarray.var"]], "negative() (in module dpnp)": [[305, "dpnp.negative"]], "nonzero() (in module dpnp)": [[306, "dpnp.nonzero"]], "not_equal() (in module dpnp)": [[307, "dpnp.not_equal"]], "ogrid (in module dpnp)": [[308, "dpnp.ogrid"]], "ones() (in module dpnp)": [[309, "dpnp.ones"]], "ones_like() (in module dpnp)": [[310, "dpnp.ones_like"]], "outer() (in module dpnp)": [[311, "dpnp.outer"]], "partition() (in module dpnp)": [[312, "dpnp.partition"]], "place() (in module dpnp)": [[313, "dpnp.place"]], "positive() (in module dpnp)": [[314, "dpnp.positive"]], "power() (in module dpnp)": [[315, "dpnp.power"]], "prod() (in module dpnp)": [[316, "dpnp.prod"]], "proj() (in module dpnp)": [[317, "dpnp.proj"]], "ptp() (in module dpnp)": [[318, "dpnp.ptp"]], "put() (in module dpnp)": [[319, "dpnp.put"]], "put_along_axis() (in module dpnp)": [[320, "dpnp.put_along_axis"]], "putmask() (in module dpnp)": [[321, "dpnp.putmask"]], "rad2deg() (in module dpnp)": [[322, "dpnp.rad2deg"]], "radians() (in module dpnp)": [[323, "dpnp.radians"]], "randomstate (class in dpnp.random)": [[324, "dpnp.random.RandomState"]], "__eq__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__eq__"]], "__ge__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__ge__"]], "__gt__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__gt__"]], "__le__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__le__"]], "__lt__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__lt__"]], "__ne__() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.__ne__"]], "get_state() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.get_state"]], "get_sycl_device() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.get_sycl_device"]], "get_sycl_queue() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.get_sycl_queue"]], "normal() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.normal"]], "rand() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.rand"]], "randint() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.randint"]], "randn() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.randn"]], "random_sample() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.random_sample"]], "standard_normal() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.standard_normal"]], "uniform() (dpnp.random.randomstate method)": [[324, "dpnp.random.RandomState.uniform"]], "beta() (in module dpnp.random)": [[325, "dpnp.random.beta"]], "binomial() (in module dpnp.random)": [[326, "dpnp.random.binomial"]], "bytes() (in module dpnp.random)": [[327, "dpnp.random.bytes"]], "chisquare() (in module dpnp.random)": [[328, "dpnp.random.chisquare"]], "choice() (in module dpnp.random)": [[329, "dpnp.random.choice"]], "dirichlet() (in module dpnp.random)": [[330, "dpnp.random.dirichlet"]], "exponential() (in module dpnp.random)": [[331, "dpnp.random.exponential"]], "f() (in module dpnp.random)": [[332, "dpnp.random.f"]], "gamma() (in module dpnp.random)": [[333, "dpnp.random.gamma"]], "geometric() (in module dpnp.random)": [[334, "dpnp.random.geometric"]], "gumbel() (in module dpnp.random)": [[335, "dpnp.random.gumbel"]], "hypergeometric() (in module dpnp.random)": [[336, "dpnp.random.hypergeometric"]], "laplace() (in module dpnp.random)": [[337, "dpnp.random.laplace"]], "logistic() (in module dpnp.random)": [[338, "dpnp.random.logistic"]], "lognormal() (in module dpnp.random)": [[339, "dpnp.random.lognormal"]], "logseries() (in module dpnp.random)": [[340, "dpnp.random.logseries"]], "multinomial() (in module dpnp.random)": [[341, "dpnp.random.multinomial"]], "multivariate_normal() (in module dpnp.random)": [[342, "dpnp.random.multivariate_normal"]], "negative_binomial() (in module dpnp.random)": [[343, "dpnp.random.negative_binomial"]], "noncentral_chisquare() (in module dpnp.random)": [[344, "dpnp.random.noncentral_chisquare"]], "noncentral_f() (in module dpnp.random)": [[345, "dpnp.random.noncentral_f"]], "normal() (in module dpnp.random)": [[346, "dpnp.random.normal"]], "pareto() (in module dpnp.random)": [[347, "dpnp.random.pareto"]], "permutation() (in module dpnp.random)": [[348, "dpnp.random.permutation"]], "poisson() (in module dpnp.random)": [[349, "dpnp.random.poisson"]], "power() (in module dpnp.random)": [[350, "dpnp.random.power"]], "rand() (in module dpnp.random)": [[351, "dpnp.random.rand"]], "randint() (in module dpnp.random)": [[352, "dpnp.random.randint"]], "randn() (in module dpnp.random)": [[353, "dpnp.random.randn"]], "random() (in module dpnp.random)": [[354, "dpnp.random.random"]], "random_integers() (in module dpnp.random)": [[355, "dpnp.random.random_integers"]], "random_sample() (in module dpnp.random)": [[356, "dpnp.random.random_sample"]], "ranf() (in module dpnp.random)": [[357, "dpnp.random.ranf"]], "rayleigh() (in module dpnp.random)": [[358, "dpnp.random.rayleigh"]], "sample() (in module dpnp.random)": [[359, "dpnp.random.sample"]], "seed() (in module dpnp.random)": [[360, "dpnp.random.seed"]], "shuffle() (in module dpnp.random)": [[361, "dpnp.random.shuffle"]], "standard_cauchy() (in module dpnp.random)": [[362, "dpnp.random.standard_cauchy"]], "standard_exponential() (in module dpnp.random)": [[363, "dpnp.random.standard_exponential"]], "standard_gamma() (in module dpnp.random)": [[364, "dpnp.random.standard_gamma"]], "standard_normal() (in module dpnp.random)": [[365, "dpnp.random.standard_normal"]], "standard_t() (in module dpnp.random)": [[366, "dpnp.random.standard_t"]], "triangular() (in module dpnp.random)": [[367, "dpnp.random.triangular"]], "uniform() (in module dpnp.random)": [[368, "dpnp.random.uniform"]], "vonmises() (in module dpnp.random)": [[369, "dpnp.random.vonmises"]], "wald() (in module dpnp.random)": [[370, "dpnp.random.wald"]], "weibull() (in module dpnp.random)": [[371, "dpnp.random.weibull"]], "zipf() (in module dpnp.random)": [[372, "dpnp.random.zipf"]], "ravel() (in module dpnp)": [[373, "dpnp.ravel"]], "real() (in module dpnp)": [[374, "dpnp.real"]], "reciprocal() (in module dpnp)": [[375, "dpnp.reciprocal"]], "reduce_hypot() (in module dpnp)": [[376, "dpnp.reduce_hypot"]], "remainder() (in module dpnp)": [[377, "dpnp.remainder"]], "repeat() (in module dpnp)": [[378, "dpnp.repeat"]], "reshape() (in module dpnp)": [[379, "dpnp.reshape"]], "result_type() (in module dpnp)": [[380, "dpnp.result_type"]], "right_shift() (in module dpnp)": [[381, "dpnp.right_shift"]], "rint() (in module dpnp)": [[382, "dpnp.rint"]], "roll() (in module dpnp)": [[383, "dpnp.roll"]], "rollaxis() (in module dpnp)": [[384, "dpnp.rollaxis"]], "round() (in module dpnp)": [[385, "dpnp.round"]], "row_stack() (in module dpnp)": [[386, "dpnp.row_stack"]], "rsqrt() (in module dpnp)": [[387, "dpnp.rsqrt"]], "searchsorted() (in module dpnp)": [[388, "dpnp.searchsorted"]], "select() (in module dpnp)": [[389, "dpnp.select"]], "shape() (in module dpnp)": [[390, "dpnp.shape"]], "sign() (in module dpnp)": [[391, "dpnp.sign"]], "signbit() (in module dpnp)": [[392, "dpnp.signbit"]], "sin() (in module dpnp)": [[393, "dpnp.sin"]], "sinh() (in module dpnp)": [[394, "dpnp.sinh"]], "sort() (in module dpnp)": [[395, "dpnp.sort"]], "sqrt() (in module dpnp)": [[396, "dpnp.sqrt"]], "square() (in module dpnp)": [[397, "dpnp.square"]], "squeeze() (in module dpnp)": [[398, "dpnp.squeeze"]], "stack() (in module dpnp)": [[399, "dpnp.stack"]], "std() (in module dpnp)": [[400, "dpnp.std"]], "subtract() (in module dpnp)": [[401, "dpnp.subtract"]], "sum() (in module dpnp)": [[402, "dpnp.sum"]], "swapaxes() (in module dpnp)": [[403, "dpnp.swapaxes"]], "take() (in module dpnp)": [[404, "dpnp.take"]], "take_along_axis() (in module dpnp)": [[405, "dpnp.take_along_axis"]], "tan() (in module dpnp)": [[406, "dpnp.tan"]], "tanh() (in module dpnp)": [[407, "dpnp.tanh"]], "tensordot() (in module dpnp)": [[408, "dpnp.tensordot"]], "tile() (in module dpnp)": [[409, "dpnp.tile"]], "trace() (in module dpnp)": [[410, "dpnp.trace"]], "transpose() (in module dpnp)": [[411, "dpnp.transpose"]], "trapz() (in module dpnp)": [[412, "dpnp.trapz"]], "tri() (in module dpnp)": [[413, "dpnp.tri"]], "tril() (in module dpnp)": [[414, "dpnp.tril"]], "tril_indices() (in module dpnp)": [[415, "dpnp.tril_indices"]], "tril_indices_from() (in module dpnp)": [[416, "dpnp.tril_indices_from"]], "triu() (in module dpnp)": [[417, "dpnp.triu"]], "triu_indices() (in module dpnp)": [[418, "dpnp.triu_indices"]], "triu_indices_from() (in module dpnp)": [[419, "dpnp.triu_indices_from"]], "true_divide() (in module dpnp)": [[420, "dpnp.true_divide"]], "trunc() (in module dpnp)": [[421, "dpnp.trunc"]], "unique() (in module dpnp)": [[422, "dpnp.unique"]], "unwrap() (in module dpnp)": [[423, "dpnp.unwrap"]], "vander() (in module dpnp)": [[424, "dpnp.vander"]], "var() (in module dpnp)": [[425, "dpnp.var"]], "vdot() (in module dpnp)": [[426, "dpnp.vdot"]], "vstack() (in module dpnp)": [[427, "dpnp.vstack"]], "where() (in module dpnp)": [[428, "dpnp.where"]], "zeros() (in module dpnp)": [[429, "dpnp.zeros"]], "zeros_like() (in module dpnp)": [[430, "dpnp.zeros_like"]], "dpnp.random": [[441, "module-dpnp.random"]]}}) \ No newline at end of file

    dpnp.dot

    Dot product of x1 and x2.

    Dot product of a and b.

    dpnp.linalg.multi_dot

    Compute the dot product of two or more arrays in a single function call