diff --git a/.buildinfo b/.buildinfo index dc813e93f15..f20eac2dfe7 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: c32331fac9717984a66141cd4b4a88f9 +config: 9c5f6bb6edd310ca767f588cb766ff90 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/_modules/dpnp/dpnp_array.html b/_modules/dpnp/dpnp_array.html index 7f1659c4194..8250d35ae0d 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_array — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -678,7 +678,7 @@

Source code for dpnp.dpnp_array

         """
         Copy the array with data type casting.
 
-        Refer to :obj:`dpnp.astype` for full documentation.
+        For full documentation refer to :obj:`numpy.ndarray.astype`.
 
         Parameters
         ----------
@@ -741,12 +741,7 @@ 

Source code for dpnp.dpnp_array

 
[docs] def choose(input, choices, out=None, mode="raise"): - """ - Construct an array from an index array and a set of arrays to choose from. - - Refer to :obj:`dpnp.choose` for full documentation. - - """ + """Construct an array from an index array and a set of arrays to choose from.""" return dpnp.choose(input, choices, out, mode)
@@ -772,7 +767,7 @@

Source code for dpnp.dpnp_array

         """
         Complex-conjugate all elements.
 
-        Refer to :obj:`dpnp.conjugate` for full documentation.
+        For full documentation refer to :obj:`numpy.ndarray.conj`.
 
         """
 
@@ -788,7 +783,7 @@ 

Source code for dpnp.dpnp_array

         """
         Return the complex conjugate, element-wise.
 
-        Refer to :obj:`dpnp.conjugate` for full documentation.
+        For full documentation refer to :obj:`numpy.ndarray.conjugate`.
 
         """
 
@@ -851,7 +846,9 @@ 

Source code for dpnp.dpnp_array

         """
         Return the cumulative sum of the elements along the given axis.
 
-        Refer to :obj:`dpnp.cumsum` for full documentation.
+        See Also
+        --------
+        :obj:`dpnp.cumsum`
 
         """
 
@@ -866,7 +863,9 @@ 

Source code for dpnp.dpnp_array

         """
         Return specified diagonals.
 
-        Refer to :obj:`dpnp.diagonal` for full documentation.
+        See Also
+        --------
+        :obj:`dpnp.diagonal`
 
         """
 
@@ -879,7 +878,7 @@ 

Source code for dpnp.dpnp_array

         """
         Dot product of two arrays.
 
-        Refer to :obj:`dpnp.dot` for full documentation.
+        For full documentation refer to :obj:`dpnp.dot`.
 
         Examples
         --------
@@ -1210,7 +1209,7 @@ 

Source code for dpnp.dpnp_array

         """
         Returns the prod along a given axis.
 
-        Refer to :obj:`dpnp.prod` for full documentation.
+        For full documentation refer to :obj:`dpnp.prod`.
 
         """
 
@@ -1223,7 +1222,7 @@ 

Source code for dpnp.dpnp_array

         """
         Puts values of an array into another array along a given axis.
 
-        Refer to :obj:`dpnp.put` for full documentation.
+        For full documentation refer to :obj:`numpy.put`.
 
         """
 
@@ -1236,7 +1235,7 @@ 

Source code for dpnp.dpnp_array

         """
         Return a contiguous flattened array.
 
-        Refer to :obj:`dpnp.ravel` for full documentation.
+        For full documentation refer to :obj:`dpnp.ravel`.
 
         """
 
@@ -1289,7 +1288,7 @@ 

Source code for dpnp.dpnp_array

         """
         Repeat elements of an array.
 
-        Refer to :obj:`dpnp.repeat` for full documentation.
+        For full documentation refer to :obj:`dpnp.repeat`.
 
         """
 
@@ -1302,7 +1301,7 @@ 

Source code for dpnp.dpnp_array

         """
         Returns an array containing the same data with a new shape.
 
-        Refer to :obj:`dpnp.reshape` for full documentation.
+        For full documentation refer to :obj:`numpy.ndarray.reshape`.
 
         Returns
         -------
@@ -1336,7 +1335,8 @@ 

Source code for dpnp.dpnp_array

         """
         Return array with each element rounded to the given number of decimals.
 
-        Refer to :obj:`dpnp.round` for full documentation.
+        .. seealso::
+           :obj:`dpnp.around` for full documentation.
 
         """
 
@@ -1497,7 +1497,7 @@ 

Source code for dpnp.dpnp_array

         """
         Returns the sum along a given axis.
 
-        Refer to :obj:`dpnp.sum` for full documentation.
+        For full documentation refer to :obj:`dpnp.sum`.
 
         """
 
@@ -1518,7 +1518,7 @@ 

Source code for dpnp.dpnp_array

         """
         Interchange two axes of an array.
 
-        Refer to :obj:`dpnp.swapaxes` for full documentation.
+        For full documentation refer to :obj:`numpy.swapaxes`.
 
         """
 
@@ -1531,7 +1531,7 @@ 

Source code for dpnp.dpnp_array

         """
         Take elements from an array along an axis.
 
-        Refer to :obj:`dpnp.take` for full documentation.
+        For full documentation refer to :obj:`numpy.take`.
 
         """
 
@@ -1552,21 +1552,31 @@ 

Source code for dpnp.dpnp_array

 
         For full documentation refer to :obj:`numpy.ndarray.transpose`.
 
+        Parameters
+        ----------
+        axes : None, tuple or list of ints, n ints, optional
+            * ``None`` or no argument: reverses the order of the axes.
+            * tuple or list of ints: `i` in the `j`-th place in the tuple/list
+              means that the array’s `i`-th axis becomes the transposed
+              array’s `j`-th axis.
+            * n ints: same as an n-tuple/n-list of the same ints (this form is
+              intended simply as a “convenience” alternative to the tuple form).
+
         Returns
         -------
-        y : dpnp.ndarray
+        out : dpnp.ndarray
             View of the array with its axes suitably permuted.
 
         See Also
         --------
-            :obj:`dpnp.transpose` : Equivalent function.
-            :obj:`dpnp.ndarray.ndarray.T` : Array property returning the array transposed.
-            :obj:`dpnp.ndarray.reshape` : Give a new shape to an array without changing its data.
+        :obj:`dpnp.transpose` : Equivalent function.
+        :obj:`dpnp.ndarray.ndarray.T` : Array property returning the array transposed.
+        :obj:`dpnp.ndarray.reshape` : Give a new shape to an array without changing its data.
 
         Examples
         --------
-        >>> import dpnp as dp
-        >>> a = dp.array([[1, 2], [3, 4]])
+        >>> import dpnp as np
+        >>> a = np.array([[1, 2], [3, 4]])
         >>> a
         array([[1, 2],
                [3, 4]])
@@ -1577,7 +1587,7 @@ 

Source code for dpnp.dpnp_array

         array([[1, 3],
                [2, 4]])
 
-        >>> a = dp.array([1, 2, 3, 4])
+        >>> a = np.array([1, 2, 3, 4])
         >>> a
         array([1, 2, 3, 4])
         >>> a.transpose()
@@ -1590,7 +1600,7 @@ 

Source code for dpnp.dpnp_array

             return self
 
         axes_len = len(axes)
-        if axes_len == 1 and isinstance(axes[0], tuple):
+        if axes_len == 1 and isinstance(axes[0], (tuple, list)):
             axes = axes[0]
 
         res = self.__new__(dpnp_array)
diff --git a/_modules/dpnp/dpnp_flatiter.html b/_modules/dpnp/dpnp_flatiter.html
index 170bacf20f4..4490f7f9f85 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 0.15.0dev1+10.g4de1640001 documentation
+  dpnp.dpnp_flatiter — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation
       
       
 
@@ -23,7 +23,7 @@
   
         
         
-        
+        
         
         
     
@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           
               
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface.html b/_modules/dpnp/dpnp_iface.html index c92379df4cf..d235e2550b6 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface_arraycreation.html b/_modules/dpnp/dpnp_iface_arraycreation.html index f5be6ae5b49..91fe1e4b6e0 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_arraycreation — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface_bitwise.html b/_modules/dpnp/dpnp_iface_bitwise.html index 0b96a269d9d..260fb76eec8 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_bitwise — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface_counting.html b/_modules/dpnp/dpnp_iface_counting.html index bd05bb0bef0..421a5b6ddff 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_counting — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface_indexing.html b/_modules/dpnp/dpnp_iface_indexing.html index 593529d200b..6b86a821bd5 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_indexing — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface_libmath.html b/_modules/dpnp/dpnp_iface_libmath.html index 25da2bbb915..b46a33001a9 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_libmath — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface_linearalgebra.html b/_modules/dpnp/dpnp_iface_linearalgebra.html index ceb5ca59995..ccb9f6cd78f 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_linearalgebra — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -700,12 +700,12 @@

Source code for dpnp.dpnp_iface_linearalgebra

Second input array. Both inputs `a` and `b` can not be scalars at the same time. axes : int or (2,) array_like - * integer_like - If an int `N`, sum over the last `N` axes of `a` and the first `N` - axes of `b` in order. The sizes of the corresponding axes must match. - * (2,) array_like - Or, a list of axes to be summed over, first sequence applying to `a`, - second to `b`. Both elements array_like must be of the same length. + * integer_like: If an int `N`, sum over the last `N` axes of `a` and + the first `N` axes of `b` in order. The sizes of the corresponding + axes must match. + * (2,) array_like: A list of axes to be summed over, first sequence + applying to `a`, second to `b`. Both elements array_like must be of + the same length. Returns ------- diff --git a/_modules/dpnp/dpnp_iface_logic.html b/_modules/dpnp/dpnp_iface_logic.html index e2b87383842..239630bb88a 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_logic — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface_manipulation.html b/_modules/dpnp/dpnp_iface_manipulation.html index c858091269d..c0cefe18341 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_manipulation — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -2037,12 +2037,13 @@

Source code for dpnp.dpnp_iface_manipulation

    ----------
     a : {dpnp.ndarray, usm_ndarray}
         Input array.
-    axes : tuple or list of ints, optional
+    axes : None, tuple or list of ints, optional
         If specified, it must be a tuple or list which contains a permutation
         of [0, 1, ..., N-1] where N is the number of axes of `a`.
         The `i`'th axis of the returned array will correspond to the axis
-        numbered ``axes[i]`` of the input. If not specified, defaults to
-        ``range(a.ndim)[::-1]``, which reverses the order of the axes.
+        numbered ``axes[i]`` of the input. If not specified or ``None``,
+        defaults to ``range(a.ndim)[::-1]``, which reverses the order of
+        the axes.
 
     Returns
     -------
@@ -2057,27 +2058,27 @@ 

Source code for dpnp.dpnp_iface_manipulation

    Examples
     --------
-    >>> import dpnp as dp
-    >>> a = dp.array([[1, 2], [3, 4]])
+    >>> import dpnp as np
+    >>> a = np.array([[1, 2], [3, 4]])
     >>> a
     array([[1, 2],
            [3, 4]])
-    >>> dp.transpose(a)
+    >>> np.transpose(a)
     array([[1, 3],
            [2, 4]])
 
-    >>> a = dp.array([1, 2, 3, 4])
+    >>> a = np.array([1, 2, 3, 4])
     >>> a
     array([1, 2, 3, 4])
-    >>> dp.transpose(a)
+    >>> np.transpose(a)
     array([1, 2, 3, 4])
 
-    >>> a = dp.ones((1, 2, 3))
-    >>> dp.transpose(a, (1, 0, 2)).shape
+    >>> a = np.ones((1, 2, 3))
+    >>> np.transpose(a, (1, 0, 2)).shape
     (2, 1, 3)
 
-    >>> a = dp.ones((2, 3, 4, 5))
-    >>> dp.transpose(a).shape
+    >>> a = np.ones((2, 3, 4, 5))
+    >>> np.transpose(a).shape
     (5, 4, 3, 2)
 
     """
@@ -2085,7 +2086,7 @@ 

Source code for dpnp.dpnp_iface_manipulation

if isinstance(a, dpnp_array):
         array = a
     elif isinstance(a, dpt.usm_ndarray):
-        array = dpnp_array._create_from_usm_ndarray(a.get_array())
+        array = dpnp_array._create_from_usm_ndarray(a)
     else:
         raise TypeError(
             f"An array must be any of supported type, but got {type(a)}"
diff --git a/_modules/dpnp/dpnp_iface_mathematical.html b/_modules/dpnp/dpnp_iface_mathematical.html
index bb3243e22ea..64fdb3cd2df 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 0.15.0dev1+10.g4de1640001 documentation
+  dpnp.dpnp_iface_mathematical — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation
       
       
 
@@ -23,7 +23,7 @@
   
         
         
-        
+        
         
         
     
@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           
               
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -129,8 +129,6 @@

Source code for dpnp.dpnp_iface_mathematical

import dpctl.tensor as dpt
-import dpctl.tensor._accumulation as da
-import dpctl.utils as du
 import numpy
 from numpy.core.numeric import (
     normalize_axis_index,
@@ -981,101 +979,42 @@ 

Source code for dpnp.dpnp_iface_mathematical

 [docs]
-def cumsum(a, axis=None, dtype=None, out=None):
+def cumsum(x1, **kwargs):
     """
     Return the cumulative sum of the elements along a given axis.
 
     For full documentation refer to :obj:`numpy.cumsum`.
 
-    Parameters
-    ----------
-    a : {dpnp.ndarray, usm_ndarray}
-        Input array.
-    axis : int, optional
-        Axis along which the cumulative sum is computed. The default (``None``)
-        is to compute the cumsum over the flattened array.
-    dtype : dtype, optional
-        Type of the returned array and of the accumulator in which the elements
-        are summed. If `dtype` is not specified, it defaults to the dtype of
-        `a`, unless `a` has an integer dtype with a precision less than that of
-        the default platform integer. In that case, the default platform
-        integer is used.
-    out : {dpnp.ndarray, usm_ndarray}, optional
-        Alternative output array in which to place the result. It must have the
-        same shape and buffer length as the expected output but the type will
-        be cast if necessary.
-
-    Returns
-    -------
-    out : dpnp.ndarray
-        A new array holding the result is returned unless `out` is specified,
-        in which case a reference to `out` is returned. The result has the same
-        size as `a`, and the same shape as `a` if `axis` is not ``None`` or `a`
-        is a 1-d array.
+    Limitations
+    -----------
+    Parameter `x` is supported as :obj:`dpnp.ndarray`.
+    Keyword argument `kwargs` is currently unsupported.
+    Otherwise the function will be executed sequentially on CPU.
+    Input array data types are limited by supported DPNP :ref:`Data types`.
 
     See Also
     --------
-    :obj:`dpnp.sum` : Sum array elements.
-    :obj:`dpnp.diff` : Calculate the n-th discrete difference along given axis.
+    :obj:`dpnp.diff` : Calculate the n-th discrete difference along the given axis.
 
     Examples
     --------
     >>> import dpnp as np
-    >>> a = np.array([[1, 2, 3], [4, 5, 6]])
-    >>> a
-    array([[1, 2, 3],
-           [4, 5, 6]])
-    >>> np.cumsum(a)
-    array([ 1,  3,  6, 10, 15, 21])
-    >>> np.cumsum(a, dtype=float)     # specifies type of output value(s)
-    array([ 1.,  3.,  6., 10., 15., 21.])
-
-    >>> np.cumsum(a, axis=0)     # sum over rows for each of the 3 columns
-    array([[1, 2, 3],
-           [5, 7, 9]])
-    >>> np.cumsum(a, axis=1)     # sum over columns for each of the 2 rows
-    array([[ 1,  3,  6],
-           [ 4,  9, 15]])
-
-    ``cumsum(b)[-1]`` may not be equal to ``sum(b)``
-
-    >>> b = np.array([1, 2e-9, 3e-9] * 10000)
-    >>> b.cumsum().dtype == b.sum().dtype == np.float64
-    True
-    >>> b.cumsum()[-1] == b.sum()
-    array(False)
+    >>> a = np.array([1, 2, 4])
+    >>> result = np.cumsum(a)
+    >>> [x for x in result]
+    [1, 2, 7]
+    >>> b = np.array([[1, 2, 3], [4, 5, 6]])
+    >>> result = np.cumsum(b)
+    >>> [x for x in result]
+    [1, 2, 6, 10, 15, 21]
 
     """
 
-    dpnp.check_supported_arrays_type(a)
-    if a.ndim > 1 and axis is None:
-        usm_a = dpnp.ravel(a).get_array()
-    else:
-        usm_a = dpnp.get_usm_ndarray(a)
-
-    input_out = out
-    if out is None:
-        usm_out = None
-    else:
-        dpnp.check_supported_arrays_type(out)
-        if dpnp.issubdtype(out.dtype, dpnp.integer):
-            int_dt = da._default_accumulation_dtype(out.dtype, out.sycl_queue)
-
-            # create a copy if dtype mismatches default integer type
-            out = dpnp.astype(out, dtype=int_dt, copy=False)
-
-        usm_out = dpnp.get_usm_ndarray(out)
-
-    res_usm = dpt.cumulative_sum(usm_a, axis=axis, dtype=dtype, out=usm_out)
-    if out is None:
-        return dpnp_array._create_from_usm_ndarray(res_usm)
-    elif input_out is not out:
-        dpnp.copyto(input_out, out, casting="unsafe")
+    x1_desc = dpnp.get_dpnp_descriptor(x1, copy_when_nondefault_queue=False)
+    if x1_desc and not kwargs:
+        return dpnp_cumsum(x1_desc).get_pyobj()
 
-    if not isinstance(input_out, dpnp_array):
-        return dpnp_array._create_from_usm_ndarray(input_out)
-    else:
-        return out
+ return call_origin(numpy.cumsum, x1, **kwargs)
@@ -2511,32 +2450,7 @@

Source code for dpnp.dpnp_iface_mathematical

    """
 
-    # Product reduction for complex output are known to fail for Gen9 with 2024.0 compiler
-    # TODO: get rid of this temporary work around when OneAPI 2024.1 is released
-    dpnp.check_supported_arrays_type(a)
-    _dtypes = (a.dtype, dtype)
-    _any_complex = any(
-        dpnp.issubdtype(dt, dpnp.complexfloating) for dt in _dtypes
-    )
-    device_mask = (
-        du.intel_device_info(a.sycl_device).get("device_id", 0) & 0xFF00
-    )
-    if _any_complex and device_mask in [0x3E00, 0x9B00]:
-        res = call_origin(
-            numpy.prod,
-            a,
-            axis=axis,
-            dtype=dtype,
-            out=out,
-            keepdims=keepdims,
-            initial=initial,
-            where=where,
-        )
-        if dpnp.isscalar(res):
-            # numpy may return a scalar, convert it back to dpnp array
-            return dpnp.array(res, sycl_queue=a.sycl_queue, usm_type=a.usm_type)
-        return res
-    elif initial is not None:
+    if initial is not None:
         raise NotImplementedError(
             "initial keyword argument is only supported with its default value."
         )
@@ -3100,22 +3014,22 @@ 

Source code for dpnp.dpnp_iface_mathematical

        Data type of the returned array. If ``None``, the default data
         type is inferred from the "kind" of the input array data type.
             * If `a` has a real-valued floating-point data type,
-                the returned array will have the default real-valued
-                floating-point data type for the device where input
-                array `a` is allocated.
+              the returned array will have the default real-valued
+              floating-point data type for the device where input
+              array `a` is allocated.
             * If `a` has signed integral data type, the returned array
-                will have the default signed integral type for the device
-                where input array `a` is allocated.
+              will have the default signed integral type for the device
+              where input array `a` is allocated.
             * If `a` has unsigned integral data type, the returned array
-                will have the default unsigned integral type for the device
-                where input array `a` is allocated.
+              will have the default unsigned integral type for the device
+              where input array `a` is allocated.
             * If `a` has a complex-valued floating-point data type,
-                the returned array will have the default complex-valued
-                floating-pointer data type for the device where input
-                array `a` is allocated.
+              the returned array will have the default complex-valued
+              floating-pointer data type for the device where input
+              array `a` is allocated.
             * If `a` has a boolean data type, the returned array will
-                have the default signed integral type for the device
-                where input array `a` is allocated.
+              have the default signed integral type for the device
+              where input array `a` is allocated.
         If the data type (either specified or resolved) differs from the
         data type of `a`, the input array elements are cast to the
         specified data type before computing the sum.
diff --git a/_modules/dpnp/dpnp_iface_nanfunctions.html b/_modules/dpnp/dpnp_iface_nanfunctions.html
index 53eea39b8a5..4dc6479bd35 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 0.15.0dev1+10.g4de1640001 documentation
+  dpnp.dpnp_iface_nanfunctions — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation
       
       
 
@@ -23,7 +23,7 @@
   
         
         
-        
+        
         
         
     
@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           
               
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -833,22 +833,22 @@

Source code for dpnp.dpnp_iface_nanfunctions

        Data type of the returned array. If ``None``, the default data
         type is inferred from the "kind" of the input array data type.
             * If `a` has a real-valued floating-point data type,
-                the returned array will have the default real-valued
-                floating-point data type for the device where input
-                array `a` is allocated.
+              the returned array will have the default real-valued
+              floating-point data type for the device where input
+              array `a` is allocated.
             * If `a` has signed integral data type, the returned array
-                will have the default signed integral type for the device
-                where input array `a` is allocated.
+              will have the default signed integral type for the device
+              where input array `a` is allocated.
             * If `a` has unsigned integral data type, the returned array
-                will have the default unsigned integral type for the device
-                where input array `a` is allocated.
+              will have the default unsigned integral type for the device
+              where input array `a` is allocated.
             * If `a` has a complex-valued floating-point data type,
-                the returned array will have the default complex-valued
-                floating-pointer data type for the device where input
-                array `a` is allocated.
+              the returned array will have the default complex-valued
+              floating-pointer data type for the device where input
+              array `a` is allocated.
             * If `a` has a boolean data type, the returned array will
-                have the default signed integral type for the device
-                where input array `a` is allocated.
+              have the default signed integral type for the device
+              where input array `a` is allocated.
         If the data type (either specified or resolved) differs from the
         data type of `a`, the input array elements are cast to the
         specified data type before computing the sum.
diff --git a/_modules/dpnp/dpnp_iface_searching.html b/_modules/dpnp/dpnp_iface_searching.html
index ee590a14d69..817bb8f40cf 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 0.15.0dev1+10.g4de1640001 documentation
+  dpnp.dpnp_iface_searching — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation
       
       
 
@@ -23,7 +23,7 @@
   
         
         
-        
+        
         
         
     
@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           
               
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface_sorting.html b/_modules/dpnp/dpnp_iface_sorting.html index 96b870bc4d6..6956170d527 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_sorting — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface_statistics.html b/_modules/dpnp/dpnp_iface_statistics.html index be9a49969d9..6198b267f4a 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_statistics — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/dpnp_iface_trigonometric.html b/_modules/dpnp/dpnp_iface_trigonometric.html index e36f955276a..18e5687fe73 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_trigonometric — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -1510,14 +1510,14 @@

Source code for dpnp.dpnp_iface_trigonometric

Data type of the returned array. If ``None``, the default data type is inferred from the "kind" of the input array data type. * If `x` has a real-valued floating-point data type, - the returned array will have the default real-valued - floating-point data type for the device where input - array `x` is allocated. + the returned array will have the default real-valued + floating-point data type for the device where input + array `x` is allocated. * If `x` has a boolean or integral data type, the returned array - will have the default floating point data type for the device - where input array `x` is allocated. + will have the default floating point data type for the device + where input array `x` is allocated. * If `x` has a complex-valued floating-point data type, - an error is raised. + an error is raised. If the data type (either specified or resolved) differs from the data type of `x`, the input array elements are cast to the specified data type before computing the result. Default: ``None``. diff --git a/_modules/dpnp/dpnp_iface_types.html b/_modules/dpnp/dpnp_iface_types.html index bcade9bd700..cb075fe66a9 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_iface_types — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/fft/dpnp_iface_fft.html b/_modules/dpnp/fft/dpnp_iface_fft.html index d1ea1917e63..f422b9000c4 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.fft.dpnp_iface_fft — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/linalg/dpnp_iface_linalg.html b/_modules/dpnp/linalg/dpnp_iface_linalg.html index 668d1cb0ca1..3fe28a27374 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.dpnp_iface_linalg — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -144,6 +144,7 @@

Source code for dpnp.linalg.dpnp_iface_linalg

dpnp_matrix_power, dpnp_matrix_rank, dpnp_multi_dot, + dpnp_norm, dpnp_pinv, dpnp_qr, dpnp_slogdet, @@ -610,7 +611,7 @@

Source code for dpnp.linalg.dpnp_iface_linalg

""" Compute the dot product of two or more arrays in a single function call. - For full documentation refer to :obj:`numpy.multi_dot`. + For full documentation refer to :obj:`numpy.linalg.multi_dot`. Parameters ---------- @@ -727,60 +728,109 @@

Source code for dpnp.linalg.dpnp_iface_linalg

[docs] -def norm(x1, ord=None, axis=None, keepdims=False): +def norm(x, ord=None, axis=None, keepdims=False): """ Matrix or vector norm. - This function is able to return one of eight different matrix norms, - or one of an infinite number of vector norms (described below), depending - on the value of the ``ord`` parameter. + For full documentation refer to :obj:`numpy.linalg.norm`. Parameters ---------- - input : array_like - Input array. If `axis` is None, `x` must be 1-D or 2-D, unless `ord` - is None. If both `axis` and `ord` are None, the 2-norm of - ``x.ravel`` will be returned. - ord : optional - Order of the norm (see table under ``Notes``). inf means numpy's - `inf` object. The default is None. - axis : optional. + x : {dpnp.ndarray, usm_ndarray} + Input array. If `axis` is ``None``, `x` must be 1-D or 2-D, unless + `ord` is ``None``. If both `axis` and `ord` are ``None``, the 2-norm + of ``x.ravel`` will be returned. + ord : {int, float, inf, -inf, "fro", "nuc"}, optional + Norm type. inf means dpnp's `inf` object. The default is ``None``. + axis : {None, int, 2-tuple of ints}, optional If `axis` is an integer, it specifies the axis of `x` along which to compute the vector norms. If `axis` is a 2-tuple, it specifies the axes that hold 2-D matrices, and the matrix norms of these matrices - are computed. If `axis` is None then either a vector norm (when `x` - is 1-D) or a matrix norm (when `x` is 2-D) is returned. The default - is None. + are computed. If `axis` is ``None`` then either a vector norm (when + `x` is 1-D) or a matrix norm (when `x` is 2-D) is returned. + The default is ``None``. keepdims : bool, optional - If this is set to True, the axes which are normed over are left in the - result as dimensions with size one. With this option the result will - broadcast correctly against the original `x`. + If this is set to ``True``, the axes which are normed over are left in + the result as dimensions with size one. With this option the result + will broadcast correctly against the original `x`. Returns ------- - n : float or ndarray + out : dpnp.ndarray Norm of the matrix or vector(s). - """ - x1_desc = dpnp.get_dpnp_descriptor(x1, copy_when_nondefault_queue=False) - if x1_desc: - if ( - not isinstance(axis, int) - and not isinstance(axis, tuple) - and axis is not None - ): - pass - elif keepdims is not False: - pass - elif ord not in [None, 0, 3, "fro", "f"]: - pass - else: - result_obj = dpnp_norm(x1, ord=ord, axis=axis) - result = dpnp.convert_single_elem_array_to_scalar(result_obj) + Examples + -------- + >>> import dpnp as np + >>> a = np.arange(9) - 4 + >>> a + array([-4, -3, -2, -1, 0, 1, 2, 3, 4]) + >>> b = a.reshape((3, 3)) + >>> b + array([[-4, -3, -2], + [-1, 0, 1], + [ 2, 3, 4]]) + + >>> np.linalg.norm(a) + array(7.745966692414834) + >>> np.linalg.norm(b) + array(7.745966692414834) + >>> np.linalg.norm(b, 'fro') + array(7.745966692414834) + >>> np.linalg.norm(a, np.inf) + array(4.) + >>> np.linalg.norm(b, np.inf) + array(9.) + >>> np.linalg.norm(a, -np.inf) + array(0.) + >>> np.linalg.norm(b, -np.inf) + array(2.) + + >>> np.linalg.norm(a, 1) + array(20.) + >>> np.linalg.norm(b, 1) + array(7.) + >>> np.linalg.norm(a, -1) + array(0.) + >>> np.linalg.norm(b, -1) + array(6.) + >>> np.linalg.norm(a, 2) + array(7.745966692414834) + >>> np.linalg.norm(b, 2) + array(7.3484692283495345) + + >>> np.linalg.norm(a, -2) + array(0.) + >>> np.linalg.norm(b, -2) + array(1.8570331885190563e-016) # may vary + >>> np.linalg.norm(a, 3) + array(5.8480354764257312) # may vary + >>> np.linalg.norm(a, -3) + array(0.) + + Using the `axis` argument to compute vector norms: + + >>> c = np.array([[ 1, 2, 3], + ... [-1, 1, 4]]) + >>> np.linalg.norm(c, axis=0) + array([ 1.41421356, 2.23606798, 5. ]) + >>> np.linalg.norm(c, axis=1) + array([ 3.74165739, 4.24264069]) + >>> np.linalg.norm(c, ord=1, axis=1) + array([ 6., 6.]) + + Using the `axis` argument to compute matrix norms: + + >>> m = np.arange(8).reshape(2,2,2) + >>> np.linalg.norm(m, axis=(1,2)) + array([ 3.74165739, 11.22497216]) + >>> np.linalg.norm(m[0, :, :]), np.linalg.norm(m[1, :, :]) + (array(3.7416573867739413), array(11.224972160321824)) - return result + """ - return call_origin(numpy.linalg.norm, x1, ord, axis, keepdims)
+ dpnp.check_supported_arrays_type(x) + return dpnp_norm(x, ord, axis, keepdims)
diff --git a/_modules/dpnp/random/dpnp_iface_random.html b/_modules/dpnp/random/dpnp_iface_random.html index c71c3bb4ec6..569e9cbbf8d 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.random.dpnp_iface_random — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/dpnp/random/dpnp_random_state.html b/_modules/dpnp/random/dpnp_random_state.html index 1656bf93d5d..7ac5b2d0b14 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.random.dpnp_random_state — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_modules/index.html b/_modules/index.html index 20f1fd924c3..7abbe2500eb 100644 --- a/_modules/index.html +++ b/_modules/index.html @@ -12,7 +12,7 @@ - Overview: module code — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Overview: module code — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/_static/documentation_options.js b/_static/documentation_options.js index 39608d69c4b..ca098003990 100644 --- a/_static/documentation_options.js +++ b/_static/documentation_options.js @@ -1,5 +1,5 @@ const DOCUMENTATION_OPTIONS = { - VERSION: '0.15.0dev1+10.g4de1640001', + VERSION: '0.15.0dev1+9.g5f99f4ef35', LANGUAGE: 'en', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/dpctl.html b/dpctl.html index df9d3582f8a..89a9348ab0b 100644 --- a/dpctl.html +++ b/dpctl.html @@ -13,7 +13,7 @@ - Interplay with the Data Parallel Control Library — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Interplay with the Data Parallel Control Library — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -44,7 +44,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/dpnp_backend_api.html b/dpnp_backend_api.html index 48ce38e98db..6cc29ce3204 100644 --- a/dpnp_backend_api.html +++ b/dpnp_backend_api.html @@ -13,7 +13,7 @@ - C++ backend API Reference — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + C++ backend API Reference — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -45,7 +45,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/genindex.html b/genindex.html index 1845ea0f71f..defe292b583 100644 --- a/genindex.html +++ b/genindex.html @@ -12,7 +12,7 @@ - Index — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Index — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -43,7 +43,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/index.html b/index.html index ecdd66d4b1d..b75219fcd87 100644 --- a/index.html +++ b/index.html @@ -13,7 +13,7 @@ - Data Parallel Extension for NumPy* — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Data Parallel Extension for NumPy* — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -45,7 +45,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/objects.inv b/objects.inv index fd5f01293c4..e72ae8f5bd0 100644 Binary files a/objects.inv and b/objects.inv differ diff --git a/overview.html b/overview.html index 4c1a936d0b4..1247ee70133 100644 --- a/overview.html +++ b/overview.html @@ -13,7 +13,7 @@ - Overview — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Overview — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/py-modindex.html b/py-modindex.html index 4fe37bc06f2..768f3ad987e 100644 --- a/py-modindex.html +++ b/py-modindex.html @@ -12,7 +12,7 @@ - Python Module Index — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Python Module Index — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -23,7 +23,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/quick_start_guide.html b/quick_start_guide.html index 50be8630647..991ce9276e3 100644 --- a/quick_start_guide.html +++ b/quick_start_guide.html @@ -13,7 +13,7 @@ - Quick Start Guide — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Quick Start Guide — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/binary.html b/reference/binary.html index 4108a4ea250..87ea454ea5c 100644 --- a/reference/binary.html +++ b/reference/binary.html @@ -13,7 +13,7 @@ - Binary Operations — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Binary Operations — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/comparison.html b/reference/comparison.html index 904f4c71550..55a43804781 100644 --- a/reference/comparison.html +++ b/reference/comparison.html @@ -13,7 +13,7 @@ - Comparison Table NumPy/ DPNP/ CuPy — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Comparison Table NumPy/ DPNP/ CuPy — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -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(v0.15.0dev1+10.g4de1640001) / CuPy(v9.6.0) APIs

+

NumPy(v1.23.5) / DPNP(v0.15.0dev1+9.g5f99f4ef35) / CuPy(v9.6.0) APIs

Summary

diff --git a/reference/creation.html b/reference/creation.html index 410f4cad36f..36c37dc285b 100644 --- a/reference/creation.html +++ b/reference/creation.html @@ -13,7 +13,7 @@ - Array creation routines — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Array creation routines — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/dtype.html b/reference/dtype.html index 2d4861db532..bba51540234 100644 --- a/reference/dtype.html +++ b/reference/dtype.html @@ -13,7 +13,7 @@ - Data type routines — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Data type routines — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/dtypes_table.html b/reference/dtypes_table.html index 2826c3bcba8..0659c68985e 100644 --- a/reference/dtypes_table.html +++ b/reference/dtypes_table.html @@ -13,7 +13,7 @@ - Available array data types — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + Available array data types — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/fft.html b/reference/fft.html index a9bb5c1f9d7..881195c2cd4 100644 --- a/reference/fft.html +++ b/reference/fft.html @@ -13,7 +13,7 @@ - FFT Functions — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + FFT Functions — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.abs.html b/reference/generated/dpnp.abs.html index 258c28e1032..e627a34f5f6 100644 --- a/reference/generated/dpnp.abs.html +++ b/reference/generated/dpnp.abs.html @@ -13,7 +13,7 @@ - dpnp.abs — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.abs — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.absolute.html b/reference/generated/dpnp.absolute.html index 329247ce1cb..914c256e9f0 100644 --- a/reference/generated/dpnp.absolute.html +++ b/reference/generated/dpnp.absolute.html @@ -13,7 +13,7 @@ - dpnp.absolute — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.absolute — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.add.html b/reference/generated/dpnp.add.html index 5a5edb7f7d0..d6e83b5532c 100644 --- a/reference/generated/dpnp.add.html +++ b/reference/generated/dpnp.add.html @@ -13,7 +13,7 @@ - dpnp.add — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.add — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.all.html b/reference/generated/dpnp.all.html index 28b3b80c91c..3b0e57b55ec 100644 --- a/reference/generated/dpnp.all.html +++ b/reference/generated/dpnp.all.html @@ -13,7 +13,7 @@ - dpnp.all — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.all — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.allclose.html b/reference/generated/dpnp.allclose.html index 964b8f3c979..5aa57762cff 100644 --- a/reference/generated/dpnp.allclose.html +++ b/reference/generated/dpnp.allclose.html @@ -13,7 +13,7 @@ - dpnp.allclose — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.allclose — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.amax.html b/reference/generated/dpnp.amax.html index 04deec0a3fd..db054853a7f 100644 --- a/reference/generated/dpnp.amax.html +++ b/reference/generated/dpnp.amax.html @@ -13,7 +13,7 @@ - dpnp.amax — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.amax — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.amin.html b/reference/generated/dpnp.amin.html index 41134a8a27d..e0ef843a1e0 100644 --- a/reference/generated/dpnp.amin.html +++ b/reference/generated/dpnp.amin.html @@ -13,7 +13,7 @@ - dpnp.amin — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.amin — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.angle.html b/reference/generated/dpnp.angle.html index d1bdfdc9e7d..7a3726a021f 100644 --- a/reference/generated/dpnp.angle.html +++ b/reference/generated/dpnp.angle.html @@ -13,7 +13,7 @@ - dpnp.angle — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.angle — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.any.html b/reference/generated/dpnp.any.html index 9ccb37ae5ea..715e330916c 100644 --- a/reference/generated/dpnp.any.html +++ b/reference/generated/dpnp.any.html @@ -13,7 +13,7 @@ - dpnp.any — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.any — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.arange.html b/reference/generated/dpnp.arange.html index e2881fada54..c0f2882e199 100644 --- a/reference/generated/dpnp.arange.html +++ b/reference/generated/dpnp.arange.html @@ -13,7 +13,7 @@ - dpnp.arange — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.arange — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.arccos.html b/reference/generated/dpnp.arccos.html index b5d799e0f94..612fa7ce86c 100644 --- a/reference/generated/dpnp.arccos.html +++ b/reference/generated/dpnp.arccos.html @@ -13,7 +13,7 @@ - dpnp.arccos — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.arccos — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.arccosh.html b/reference/generated/dpnp.arccosh.html index 33474eac273..49981e3beda 100644 --- a/reference/generated/dpnp.arccosh.html +++ b/reference/generated/dpnp.arccosh.html @@ -13,7 +13,7 @@ - dpnp.arccosh — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.arccosh — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.arcsin.html b/reference/generated/dpnp.arcsin.html index 19fc575abc7..93888a6477b 100644 --- a/reference/generated/dpnp.arcsin.html +++ b/reference/generated/dpnp.arcsin.html @@ -13,7 +13,7 @@ - dpnp.arcsin — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.arcsin — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.arcsinh.html b/reference/generated/dpnp.arcsinh.html index 544cdaf84d3..bd966241909 100644 --- a/reference/generated/dpnp.arcsinh.html +++ b/reference/generated/dpnp.arcsinh.html @@ -13,7 +13,7 @@ - dpnp.arcsinh — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.arcsinh — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.arctan.html b/reference/generated/dpnp.arctan.html index 74d78dc3585..65d07eff3e2 100644 --- a/reference/generated/dpnp.arctan.html +++ b/reference/generated/dpnp.arctan.html @@ -13,7 +13,7 @@ - dpnp.arctan — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.arctan — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.arctan2.html b/reference/generated/dpnp.arctan2.html index 85e621cd32d..488103ba91e 100644 --- a/reference/generated/dpnp.arctan2.html +++ b/reference/generated/dpnp.arctan2.html @@ -13,7 +13,7 @@ - dpnp.arctan2 — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.arctan2 — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.arctanh.html b/reference/generated/dpnp.arctanh.html index 13fb124b3e5..c1f0b748a82 100644 --- a/reference/generated/dpnp.arctanh.html +++ b/reference/generated/dpnp.arctanh.html @@ -13,7 +13,7 @@ - dpnp.arctanh — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.arctanh — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.argmax.html b/reference/generated/dpnp.argmax.html index 67ed972428f..68630ba1367 100644 --- a/reference/generated/dpnp.argmax.html +++ b/reference/generated/dpnp.argmax.html @@ -13,7 +13,7 @@ - dpnp.argmax — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.argmax — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.argmin.html b/reference/generated/dpnp.argmin.html index 88ce926a3bd..448afb9f6f8 100644 --- a/reference/generated/dpnp.argmin.html +++ b/reference/generated/dpnp.argmin.html @@ -13,7 +13,7 @@ - dpnp.argmin — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.argmin — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.argsort.html b/reference/generated/dpnp.argsort.html index 575b9c75cea..65989d4eba7 100644 --- a/reference/generated/dpnp.argsort.html +++ b/reference/generated/dpnp.argsort.html @@ -13,7 +13,7 @@ - dpnp.argsort — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.argsort — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.around.html b/reference/generated/dpnp.around.html index 8bb45419d65..5c048205286 100644 --- a/reference/generated/dpnp.around.html +++ b/reference/generated/dpnp.around.html @@ -13,7 +13,7 @@ - dpnp.around — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.around — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.array.html b/reference/generated/dpnp.array.html index 942b530f33e..f48e0c6fa38 100644 --- a/reference/generated/dpnp.array.html +++ b/reference/generated/dpnp.array.html @@ -13,7 +13,7 @@ - dpnp.array — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.array — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.array_equal.html b/reference/generated/dpnp.array_equal.html index cc7d8257431..62782d7ebb1 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.array_equal — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.asanyarray.html b/reference/generated/dpnp.asanyarray.html index 27e731b2515..43cca9ac593 100644 --- a/reference/generated/dpnp.asanyarray.html +++ b/reference/generated/dpnp.asanyarray.html @@ -13,7 +13,7 @@ - dpnp.asanyarray — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.asanyarray — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.asarray.html b/reference/generated/dpnp.asarray.html index db361a59751..c2e24be4988 100644 --- a/reference/generated/dpnp.asarray.html +++ b/reference/generated/dpnp.asarray.html @@ -13,7 +13,7 @@ - dpnp.asarray — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.asarray — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.ascontiguousarray.html b/reference/generated/dpnp.ascontiguousarray.html index e4cc0609760..e4c5ee07287 100644 --- a/reference/generated/dpnp.ascontiguousarray.html +++ b/reference/generated/dpnp.ascontiguousarray.html @@ -13,7 +13,7 @@ - dpnp.ascontiguousarray — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ascontiguousarray — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.asfarray.html b/reference/generated/dpnp.asfarray.html index 9c269809ea1..5176aa7e991 100644 --- a/reference/generated/dpnp.asfarray.html +++ b/reference/generated/dpnp.asfarray.html @@ -13,7 +13,7 @@ - dpnp.asfarray — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.asfarray — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.asfortranarray.html b/reference/generated/dpnp.asfortranarray.html index f081c2cd53c..100b3e7c568 100644 --- a/reference/generated/dpnp.asfortranarray.html +++ b/reference/generated/dpnp.asfortranarray.html @@ -13,7 +13,7 @@ - dpnp.asfortranarray — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.asfortranarray — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.asnumpy.html b/reference/generated/dpnp.asnumpy.html index 513a6f1488b..2a2d51aa67d 100644 --- a/reference/generated/dpnp.asnumpy.html +++ b/reference/generated/dpnp.asnumpy.html @@ -13,7 +13,7 @@ - dpnp.asnumpy — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.asnumpy — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.astype.html b/reference/generated/dpnp.astype.html index e0dba6a48bf..6e040a8c54c 100644 --- a/reference/generated/dpnp.astype.html +++ b/reference/generated/dpnp.astype.html @@ -13,7 +13,7 @@ - dpnp.astype — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.astype — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.atleast_1d.html b/reference/generated/dpnp.atleast_1d.html index ebfeedfad87..ac86be6c793 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.atleast_1d — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.atleast_2d.html b/reference/generated/dpnp.atleast_2d.html index bd310454f57..e7ed010a97f 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.atleast_2d — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.atleast_3d.html b/reference/generated/dpnp.atleast_3d.html index 323e6860013..a40b67630ba 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.atleast_3d — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.average.html b/reference/generated/dpnp.average.html index 4d69946a3fa..0aa36cf680d 100644 --- a/reference/generated/dpnp.average.html +++ b/reference/generated/dpnp.average.html @@ -13,7 +13,7 @@ - dpnp.average — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.average — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.bincount.html b/reference/generated/dpnp.bincount.html index 8ec2740efe4..610a168fbae 100644 --- a/reference/generated/dpnp.bincount.html +++ b/reference/generated/dpnp.bincount.html @@ -13,7 +13,7 @@ - dpnp.bincount — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.bincount — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.bitwise_and.html b/reference/generated/dpnp.bitwise_and.html index e667ec4591b..6f6de13534e 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.bitwise_and — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.bitwise_not.html b/reference/generated/dpnp.bitwise_not.html index 64ced4610ff..6242b77c039 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.bitwise_not — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.bitwise_or.html b/reference/generated/dpnp.bitwise_or.html index a4ccc12f4f7..8cfe36ca257 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.bitwise_or — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.bitwise_xor.html b/reference/generated/dpnp.bitwise_xor.html index e18a24675ae..56f325b5eab 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.bitwise_xor — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.broadcast_arrays.html b/reference/generated/dpnp.broadcast_arrays.html index 565e67596ef..6cd02ee466b 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.broadcast_arrays — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.broadcast_to.html b/reference/generated/dpnp.broadcast_to.html index 1b3ec7c0121..bdef9c9691a 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.broadcast_to — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.can_cast.html b/reference/generated/dpnp.can_cast.html index ce461688a62..c059c37ee1f 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.can_cast — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.cbrt.html b/reference/generated/dpnp.cbrt.html index a4dc6faed9c..de66acff3a5 100644 --- a/reference/generated/dpnp.cbrt.html +++ b/reference/generated/dpnp.cbrt.html @@ -13,7 +13,7 @@ - dpnp.cbrt — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.cbrt — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.ceil.html b/reference/generated/dpnp.ceil.html index 6b6ef9d86c4..e48a2e996f6 100644 --- a/reference/generated/dpnp.ceil.html +++ b/reference/generated/dpnp.ceil.html @@ -13,7 +13,7 @@ - dpnp.ceil — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ceil — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.choose.html b/reference/generated/dpnp.choose.html index 271e9769c03..fd4ceb4cfc2 100644 --- a/reference/generated/dpnp.choose.html +++ b/reference/generated/dpnp.choose.html @@ -13,7 +13,7 @@ - dpnp.choose — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.choose — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.clip.html b/reference/generated/dpnp.clip.html index 0c96f688222..dd87e768931 100644 --- a/reference/generated/dpnp.clip.html +++ b/reference/generated/dpnp.clip.html @@ -13,7 +13,7 @@ - dpnp.clip — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.clip — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.column_stack.html b/reference/generated/dpnp.column_stack.html index bded807917a..b2948844820 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.column_stack — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.concatenate.html b/reference/generated/dpnp.concatenate.html index 4ff31d7f80a..9373c0f2849 100644 --- a/reference/generated/dpnp.concatenate.html +++ b/reference/generated/dpnp.concatenate.html @@ -13,7 +13,7 @@ - dpnp.concatenate — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.concatenate — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.conj.html b/reference/generated/dpnp.conj.html index 343a110fc9f..db1e87008f9 100644 --- a/reference/generated/dpnp.conj.html +++ b/reference/generated/dpnp.conj.html @@ -13,7 +13,7 @@ - dpnp.conj — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.conj — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.conjugate.html b/reference/generated/dpnp.conjugate.html index 2cae6eac4a7..081c9ce0fc9 100644 --- a/reference/generated/dpnp.conjugate.html +++ b/reference/generated/dpnp.conjugate.html @@ -13,7 +13,7 @@ - dpnp.conjugate — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.conjugate — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.convolve.html b/reference/generated/dpnp.convolve.html index 63d53799007..ca4292c8e10 100644 --- a/reference/generated/dpnp.convolve.html +++ b/reference/generated/dpnp.convolve.html @@ -13,7 +13,7 @@ - dpnp.convolve — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.convolve — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.copy.html b/reference/generated/dpnp.copy.html index eb548ba7d3a..3127982c0cf 100644 --- a/reference/generated/dpnp.copy.html +++ b/reference/generated/dpnp.copy.html @@ -13,7 +13,7 @@ - dpnp.copy — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.copy — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.copysign.html b/reference/generated/dpnp.copysign.html index bcdcc243c03..704512e29af 100644 --- a/reference/generated/dpnp.copysign.html +++ b/reference/generated/dpnp.copysign.html @@ -13,7 +13,7 @@ - dpnp.copysign — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.copysign — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.copyto.html b/reference/generated/dpnp.copyto.html index 94fae0a276b..f43d3c42a7e 100644 --- a/reference/generated/dpnp.copyto.html +++ b/reference/generated/dpnp.copyto.html @@ -13,7 +13,7 @@ - dpnp.copyto — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.copyto — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.correlate.html b/reference/generated/dpnp.correlate.html index f62ea92b62f..03f46b5d29d 100644 --- a/reference/generated/dpnp.correlate.html +++ b/reference/generated/dpnp.correlate.html @@ -13,7 +13,7 @@ - dpnp.correlate — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.correlate — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.cos.html b/reference/generated/dpnp.cos.html index a8af25a2393..f8b8b92de79 100644 --- a/reference/generated/dpnp.cos.html +++ b/reference/generated/dpnp.cos.html @@ -13,7 +13,7 @@ - dpnp.cos — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.cos — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.cosh.html b/reference/generated/dpnp.cosh.html index 97aada28ec4..0a6eb1f1c82 100644 --- a/reference/generated/dpnp.cosh.html +++ b/reference/generated/dpnp.cosh.html @@ -13,7 +13,7 @@ - dpnp.cosh — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.cosh — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.count_nonzero.html b/reference/generated/dpnp.count_nonzero.html index 5a2db2a92ba..e6c4792e2df 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.count_nonzero — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.cov.html b/reference/generated/dpnp.cov.html index 8c632ade6c1..a138e5c6dc2 100644 --- a/reference/generated/dpnp.cov.html +++ b/reference/generated/dpnp.cov.html @@ -13,7 +13,7 @@ - dpnp.cov — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.cov — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.cross.html b/reference/generated/dpnp.cross.html index a0f43be97dc..4acfabc5288 100644 --- a/reference/generated/dpnp.cross.html +++ b/reference/generated/dpnp.cross.html @@ -13,7 +13,7 @@ - dpnp.cross — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.cross — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.cumprod.html b/reference/generated/dpnp.cumprod.html index 596855fea63..eaee69a844e 100644 --- a/reference/generated/dpnp.cumprod.html +++ b/reference/generated/dpnp.cumprod.html @@ -13,7 +13,7 @@ - dpnp.cumprod — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.cumprod — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.cumsum.html b/reference/generated/dpnp.cumsum.html index 0d8456d66b4..b447cc1d737 100644 --- a/reference/generated/dpnp.cumsum.html +++ b/reference/generated/dpnp.cumsum.html @@ -13,7 +13,7 @@ - dpnp.cumsum — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.cumsum — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -134,70 +134,31 @@

dpnp.cumsum

-dpnp.cumsum(a, axis=None, dtype=None, out=None)[source]
+dpnp.cumsum(x1, **kwargs)[source]

Return the cumulative sum of the elements along a given axis.

For full documentation refer to numpy.cumsum.

-
-
Parameters:
-
    -
  • a ({dpnp.ndarray, usm_ndarray}) – Input array.

  • -
  • axis (int, optional) – Axis along which the cumulative sum is computed. The default (None) -is to compute the cumsum over the flattened array.

  • -
  • dtype (dtype, optional) – Type of the returned array and of the accumulator in which the elements -are summed. If dtype is not specified, it defaults to the dtype of -a, unless a has an integer dtype with a precision less than that of -the default platform integer. In that case, the default platform -integer is used.

  • -
  • out ({dpnp.ndarray, usm_ndarray}, optional) – Alternative output array in which to place the result. It must have the -same shape and buffer length as the expected output but the type will -be cast if necessary.

  • -
-
-
Returns:
-

out – A new array holding the result is returned unless out is specified, -in which case a reference to out is returned. The result has the same -size as a, and the same shape as a if axis is not None or a -is a 1-d array.

-
-
Return type:
-

dpnp.ndarray

-
-
+

Limitations

+

Parameter x is supported as dpnp.ndarray. +Keyword argument kwargs is currently unsupported. +Otherwise the function will be executed sequentially on CPU. +Input array data types are limited by supported DPNP Data types.

See also

-
dpnp.sum

Sum array elements.

-
-
dpnp.diff

Calculate the n-th discrete difference along given axis.

+
dpnp.diff

Calculate the n-th discrete difference along the given axis.

Examples

>>> import dpnp as np
->>> a = np.array([[1, 2, 3], [4, 5, 6]])
->>> a
-array([[1, 2, 3],
-       [4, 5, 6]])
->>> np.cumsum(a)
-array([ 1,  3,  6, 10, 15, 21])
->>> np.cumsum(a, dtype=float)     # specifies type of output value(s)
-array([ 1.,  3.,  6., 10., 15., 21.])
-
-
-
>>> np.cumsum(a, axis=0)     # sum over rows for each of the 3 columns
-array([[1, 2, 3],
-       [5, 7, 9]])
->>> np.cumsum(a, axis=1)     # sum over columns for each of the 2 rows
-array([[ 1,  3,  6],
-       [ 4,  9, 15]])
-
-
-

cumsum(b)[-1] may not be equal to sum(b)

-
>>> b = np.array([1, 2e-9, 3e-9] * 10000)
->>> b.cumsum().dtype == b.sum().dtype == np.float64
-True
->>> b.cumsum()[-1] == b.sum()
-array(False)
+>>> a = np.array([1, 2, 4])
+>>> result = np.cumsum(a)
+>>> [x for x in result]
+[1, 2, 7]
+>>> b = np.array([[1, 2, 3], [4, 5, 6]])
+>>> result = np.cumsum(b)
+>>> [x for x in result]
+[1, 2, 6, 10, 15, 21]
 
diff --git a/reference/generated/dpnp.deg2rad.html b/reference/generated/dpnp.deg2rad.html index 836a6de5361..7a195a257ff 100644 --- a/reference/generated/dpnp.deg2rad.html +++ b/reference/generated/dpnp.deg2rad.html @@ -13,7 +13,7 @@ - dpnp.deg2rad — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.deg2rad — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.degrees.html b/reference/generated/dpnp.degrees.html index 403ac1ad1a8..b7088a321f0 100644 --- a/reference/generated/dpnp.degrees.html +++ b/reference/generated/dpnp.degrees.html @@ -13,7 +13,7 @@ - dpnp.degrees — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.degrees — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.diag.html b/reference/generated/dpnp.diag.html index 17956ee7659..d84f568b4eb 100644 --- a/reference/generated/dpnp.diag.html +++ b/reference/generated/dpnp.diag.html @@ -13,7 +13,7 @@ - dpnp.diag — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.diag — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.diag_indices.html b/reference/generated/dpnp.diag_indices.html index b1433eb7bed..b50c4def2a4 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.diag_indices — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.diag_indices_from.html b/reference/generated/dpnp.diag_indices_from.html index 9d36604aee8..73b617bd0f1 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.diag_indices_from — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.diagflat.html b/reference/generated/dpnp.diagflat.html index 6359a5e3c98..2415146330f 100644 --- a/reference/generated/dpnp.diagflat.html +++ b/reference/generated/dpnp.diagflat.html @@ -13,7 +13,7 @@ - dpnp.diagflat — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.diagflat — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.diagonal.html b/reference/generated/dpnp.diagonal.html index 78aca763c93..36e34ab785b 100644 --- a/reference/generated/dpnp.diagonal.html +++ b/reference/generated/dpnp.diagonal.html @@ -13,7 +13,7 @@ - dpnp.diagonal — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.diagonal — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.diff.html b/reference/generated/dpnp.diff.html index 2afe4e7a55b..ff5809823c0 100644 --- a/reference/generated/dpnp.diff.html +++ b/reference/generated/dpnp.diff.html @@ -13,7 +13,7 @@ - dpnp.diff — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.diff — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.divide.html b/reference/generated/dpnp.divide.html index c857bdbbc0e..718a5ae622e 100644 --- a/reference/generated/dpnp.divide.html +++ b/reference/generated/dpnp.divide.html @@ -13,7 +13,7 @@ - dpnp.divide — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.divide — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.dot.html b/reference/generated/dpnp.dot.html index e8accd451d1..c89dd5358dc 100644 --- a/reference/generated/dpnp.dot.html +++ b/reference/generated/dpnp.dot.html @@ -13,7 +13,7 @@ - dpnp.dot — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.dot — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.dpnp_array.dpnp_array.html b/reference/generated/dpnp.dpnp_array.dpnp_array.html index 428d5bfe41f..0a04181af03 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.dpnp_array.dpnp_array — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -215,7 +215,7 @@

dpnp.dpnp_array.dpnp_array astype(dtype, order='K', casting='unsafe', subok=True, copy=True)[source]

Copy the array with data type casting.

-

Refer to dpnp.astype for full documentation.

+

For full documentation refer to numpy.ndarray.astype.

Parameters:
@@ -277,14 +276,14 @@

dpnp.dpnp_array.dpnp_array conj()[source]

Complex-conjugate all elements.

-

Refer to dpnp.conjugate for full documentation.

+

For full documentation refer to numpy.ndarray.conj.

conjugate()[source]

Return the complex conjugate, element-wise.

-

Refer to dpnp.conjugate for full documentation.

+

For full documentation refer to numpy.ndarray.conjugate.

@@ -338,21 +337,27 @@

dpnp.dpnp_array.dpnp_array cumsum(axis=None, dtype=None, out=None)[source]

Return the cumulative sum of the elements along the given axis.

-

Refer to dpnp.cumsum for full documentation.

+
+

See also

+

dpnp.cumsum

+

diagonal(offset=0, axis1=0, axis2=1)[source]

Return specified diagonals.

-

Refer to dpnp.diagonal for full documentation.

+
+

See also

+

dpnp.diagonal

+
dot(b, out=None)[source]

Dot product of two arrays.

-

Refer to dpnp.dot for full documentation.

+

For full documentation refer to dpnp.dot.

Examples

>>> import dpnp as np
 >>> a = np.eye(2)
@@ -505,35 +510,35 @@ 

dpnp.dpnp_array.dpnp_array prod(axis=None, dtype=None, out=None, keepdims=False, initial=None, where=True)[source]

Returns the prod along a given axis.

-

Refer to dpnp.prod for full documentation.

+

For full documentation refer to dpnp.prod.

put(indices, vals, /, *, axis=None, mode='wrap')[source]

Puts values of an array into another array along a given axis.

-

Refer to dpnp.put for full documentation.

+

For full documentation refer to numpy.put.

ravel(order='C')[source]

Return a contiguous flattened array.

-

Refer to dpnp.ravel for full documentation.

+

For full documentation refer to dpnp.ravel.

repeat(repeats, axis=None)[source]

Repeat elements of an array.

-

Refer to dpnp.repeat for full documentation.

+

For full documentation refer to dpnp.repeat.

reshape(*sh, **kwargs)[source]

Returns an array containing the same data with a new shape.

-

Refer to dpnp.reshape for full documentation.

+

For full documentation refer to numpy.ndarray.reshape.

Returns:

y – This will be a new view object if possible; @@ -561,7 +566,10 @@

dpnp.dpnp_array.dpnp_array round(decimals=0, out=None)[source]

Return array with each element rounded to the given number of decimals.

-

Refer to dpnp.round for full documentation.

+
+

See also

+

dpnp.around for full documentation.

+

@@ -616,21 +624,21 @@

dpnp.dpnp_array.dpnp_array sum(*, axis=None, dtype=None, keepdims=False, out=None, initial=0, where=True)[source]

Returns the sum along a given axis.

-

Refer to dpnp.sum for full documentation.

+

For full documentation refer to dpnp.sum.

swapaxes(axis1, axis2)[source]

Interchange two axes of an array.

-

Refer to dpnp.swapaxes for full documentation.

+

For full documentation refer to numpy.swapaxes.

take(indices, /, *, axis=None, out=None, mode='wrap')[source]

Take elements from an array along an axis.

-

Refer to dpnp.take for full documentation.

+

For full documentation refer to numpy.take.

@@ -645,11 +653,22 @@

dpnp.dpnp_array.dpnp_arraynumpy.ndarray.transpose.

-
Returns:
-

y – View of the array with its axes suitably permuted.

+
Parameters:
+

axes (None, tuple or list of ints, n ints, optional) –

    +
  • None or no argument: reverses the order of the axes.

  • +
  • tuple or list of ints: i in the j-th place in the tuple/list +means that the array’s i-th axis becomes the transposed +array’s j-th axis.

  • +
  • n ints: same as an n-tuple/n-list of the same ints (this form is +intended simply as a “convenience” alternative to the tuple form).

  • +
+

-
Return type:
-

dpnp.ndarray

+
Returns:
+

out – View of the array with its axes suitably permuted.

+
+
Return type:
+

dpnp.ndarray

@@ -664,8 +683,8 @@

dpnp.dpnp_array.dpnp_arrayExamples

-
>>> import dpnp as dp
->>> a = dp.array([[1, 2], [3, 4]])
+
-
>>> a = dp.array([1, 2, 3, 4])
+
>>> a = np.array([1, 2, 3, 4])
 >>> a
 array([1, 2, 3, 4])
 >>> a.transpose()
diff --git a/reference/generated/dpnp.dstack.html b/reference/generated/dpnp.dstack.html
index 54ca375027b..a6d6fb7a2e4 100644
--- a/reference/generated/dpnp.dstack.html
+++ b/reference/generated/dpnp.dstack.html
@@ -13,7 +13,7 @@
     
     
   
-  dpnp.dstack — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation
+  dpnp.dstack — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation
       
       
 
@@ -24,7 +24,7 @@
   
         
         
-        
+        
         
         
     
@@ -46,7 +46,7 @@
             Data Parallel Extension for NumPy
           
               
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.dtype.html b/reference/generated/dpnp.dtype.html index 2c7dba01b6f..14e75753d5b 100644 --- a/reference/generated/dpnp.dtype.html +++ b/reference/generated/dpnp.dtype.html @@ -13,7 +13,7 @@ - dpnp.dtype — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.dtype — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.ediff1d.html b/reference/generated/dpnp.ediff1d.html index 2c5b2190c01..7665d8c2b45 100644 --- a/reference/generated/dpnp.ediff1d.html +++ b/reference/generated/dpnp.ediff1d.html @@ -13,7 +13,7 @@ - dpnp.ediff1d — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ediff1d — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.einsum.html b/reference/generated/dpnp.einsum.html index 7e8ba143854..6b9075b8f32 100644 --- a/reference/generated/dpnp.einsum.html +++ b/reference/generated/dpnp.einsum.html @@ -13,7 +13,7 @@ - dpnp.einsum — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.einsum — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.einsum_path.html b/reference/generated/dpnp.einsum_path.html index 73b38fb1c61..8d044cd93da 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.einsum_path — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.empty.html b/reference/generated/dpnp.empty.html index 338eeca07e3..fbf8d9aedd7 100644 --- a/reference/generated/dpnp.empty.html +++ b/reference/generated/dpnp.empty.html @@ -13,7 +13,7 @@ - dpnp.empty — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.empty — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.empty_like.html b/reference/generated/dpnp.empty_like.html index 15665a7459f..8473c209ef4 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.empty_like — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.equal.html b/reference/generated/dpnp.equal.html index 7cc6a10822b..7b0567fa4e5 100644 --- a/reference/generated/dpnp.equal.html +++ b/reference/generated/dpnp.equal.html @@ -13,7 +13,7 @@ - dpnp.equal — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.equal — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.erf.html b/reference/generated/dpnp.erf.html index 9e79a254dc3..87ed6aec5b1 100644 --- a/reference/generated/dpnp.erf.html +++ b/reference/generated/dpnp.erf.html @@ -13,7 +13,7 @@ - dpnp.erf — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.erf — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.exp.html b/reference/generated/dpnp.exp.html index 625f93dfabc..ed60624c030 100644 --- a/reference/generated/dpnp.exp.html +++ b/reference/generated/dpnp.exp.html @@ -13,7 +13,7 @@ - dpnp.exp — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.exp — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.exp2.html b/reference/generated/dpnp.exp2.html index 8a74c0c9eea..707eb5f8d5c 100644 --- a/reference/generated/dpnp.exp2.html +++ b/reference/generated/dpnp.exp2.html @@ -13,7 +13,7 @@ - dpnp.exp2 — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.exp2 — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.expand_dims.html b/reference/generated/dpnp.expand_dims.html index fa5b61cc497..a7e2b98c4b2 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.expand_dims — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.expm1.html b/reference/generated/dpnp.expm1.html index 1a78b5104f3..aa33dd8e128 100644 --- a/reference/generated/dpnp.expm1.html +++ b/reference/generated/dpnp.expm1.html @@ -13,7 +13,7 @@ - dpnp.expm1 — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.expm1 — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.extract.html b/reference/generated/dpnp.extract.html index 337ee6df224..e0bb00cffb0 100644 --- a/reference/generated/dpnp.extract.html +++ b/reference/generated/dpnp.extract.html @@ -13,7 +13,7 @@ - dpnp.extract — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.extract — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.eye.html b/reference/generated/dpnp.eye.html index f662c2eac93..cea36441df4 100644 --- a/reference/generated/dpnp.eye.html +++ b/reference/generated/dpnp.eye.html @@ -13,7 +13,7 @@ - dpnp.eye — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.eye — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.fabs.html b/reference/generated/dpnp.fabs.html index d9e035319f3..484883710d9 100644 --- a/reference/generated/dpnp.fabs.html +++ b/reference/generated/dpnp.fabs.html @@ -13,7 +13,7 @@ - dpnp.fabs — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.fabs — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.fft.fft.html b/reference/generated/dpnp.fft.fft.html index b213a31e628..e25c7069766 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.fft.fft — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.fft.fft2.html b/reference/generated/dpnp.fft.fft2.html index 1421ed066da..dfcb8aa0295 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.fft.fft2 — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
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diff --git a/reference/generated/dpnp.linalg.matrix_rank.html b/reference/generated/dpnp.linalg.matrix_rank.html index 13493a4e721..c449cdf87d1 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.matrix_rank — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
diff --git a/reference/generated/dpnp.linalg.multi_dot.html b/reference/generated/dpnp.linalg.multi_dot.html index 6ab5674ee76..196dbecdc53 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.multi_dot — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
- 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
@@ -129,7 +129,7 @@

dpnp.linalg.multi_dot dpnp.linalg.multi_dot(arrays, *, out=None)[source]

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

-

For full documentation refer to numpy.multi_dot.

+

For full documentation refer to numpy.linalg.multi_dot.

Parameters:
    diff --git a/reference/generated/dpnp.linalg.norm.html b/reference/generated/dpnp.linalg.norm.html index fca8b06c974..2f8e2fb9991 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.norm — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -127,37 +127,105 @@

    dpnp.linalg.norm

    -dpnp.linalg.norm(x1, ord=None, axis=None, keepdims=False)[source]
    +dpnp.linalg.norm(x, ord=None, axis=None, keepdims=False)[source]

    Matrix or vector norm.

    -

    This function is able to return one of eight different matrix norms, -or one of an infinite number of vector norms (described below), depending -on the value of the ord parameter.

    +

    For full documentation refer to numpy.linalg.norm.

    Parameters:
      -
    • input (array_like) – Input array. If axis is None, x must be 1-D or 2-D, unless ord -is None. If both axis and ord are None, the 2-norm of -x.ravel will be returned.

    • -
    • ord (optional) – Order of the norm (see table under Notes). inf means numpy’s -inf object. The default is None.

    • -
    • axis (optional.) – If axis is an integer, it specifies the axis of x along which to +

    • x ({dpnp.ndarray, usm_ndarray}) – Input array. If axis is None, x must be 1-D or 2-D, unless +ord is None. If both axis and ord are None, the 2-norm +of x.ravel will be returned.

    • +
    • ord ({int, float, inf, -inf, "fro", "nuc"}, optional) – Norm type. inf means dpnp’s inf object. The default is None.

    • +
    • axis ({None, int, 2-tuple of ints}, optional) – If axis is an integer, it specifies the axis of x along which to compute the vector norms. If axis is a 2-tuple, it specifies the axes that hold 2-D matrices, and the matrix norms of these matrices -are computed. If axis is None then either a vector norm (when x -is 1-D) or a matrix norm (when x is 2-D) is returned. The default -is None.

    • -
    • keepdims (bool, optional) – If this is set to True, the axes which are normed over are left in the -result as dimensions with size one. With this option the result will -broadcast correctly against the original x.

    • +are computed. If axis is None then either a vector norm (when +x is 1-D) or a matrix norm (when x is 2-D) is returned. +The default is None.

      +
    • keepdims (bool, optional) – If this is set to True, the axes which are normed over are left in +the result as dimensions with size one. With this option the result +will broadcast correctly against the original x.

    Returns:
    -

    n – Norm of the matrix or vector(s).

    +

    out – Norm of the matrix or vector(s).

    Return type:
    -

    float or ndarray

    +

    dpnp.ndarray

    +

    Examples

    +
    >>> import dpnp as np
    +>>> a = np.arange(9) - 4
    +>>> a
    +array([-4, -3, -2, -1,  0,  1,  2,  3,  4])
    +>>> b = a.reshape((3, 3))
    +>>> b
    +array([[-4, -3, -2],
    +       [-1,  0,  1],
    +       [ 2,  3,  4]])
    +
    +
    +
    >>> np.linalg.norm(a)
    +array(7.745966692414834)
    +>>> np.linalg.norm(b)
    +array(7.745966692414834)
    +>>> np.linalg.norm(b, 'fro')
    +array(7.745966692414834)
    +>>> np.linalg.norm(a, np.inf)
    +array(4.)
    +>>> np.linalg.norm(b, np.inf)
    +array(9.)
    +>>> np.linalg.norm(a, -np.inf)
    +array(0.)
    +>>> np.linalg.norm(b, -np.inf)
    +array(2.)
    +
    +
    +
    >>> np.linalg.norm(a, 1)
    +array(20.)
    +>>> np.linalg.norm(b, 1)
    +array(7.)
    +>>> np.linalg.norm(a, -1)
    +array(0.)
    +>>> np.linalg.norm(b, -1)
    +array(6.)
    +>>> np.linalg.norm(a, 2)
    +array(7.745966692414834)
    +>>> np.linalg.norm(b, 2)
    +array(7.3484692283495345)
    +
    +
    +
    >>> np.linalg.norm(a, -2)
    +array(0.)
    +>>> np.linalg.norm(b, -2)
    +array(1.8570331885190563e-016) # may vary
    +>>> np.linalg.norm(a, 3)
    +array(5.8480354764257312) # may vary
    +>>> np.linalg.norm(a, -3)
    +array(0.)
    +
    +
    +

    Using the axis argument to compute vector norms:

    +
    >>> c = np.array([[ 1, 2, 3],
    +...               [-1, 1, 4]])
    +>>> np.linalg.norm(c, axis=0)
    +array([ 1.41421356,  2.23606798,  5.        ])
    +>>> np.linalg.norm(c, axis=1)
    +array([ 3.74165739,  4.24264069])
    +>>> np.linalg.norm(c, ord=1, axis=1)
    +array([ 6.,  6.])
    +
    +
    +

    Using the axis argument to compute matrix norms:

    +
    >>> m = np.arange(8).reshape(2,2,2)
    +>>> np.linalg.norm(m, axis=(1,2))
    +array([  3.74165739,  11.22497216])
    +>>> np.linalg.norm(m[0, :, :]), np.linalg.norm(m[1, :, :])
    +(array(3.7416573867739413), array(11.224972160321824))
    +
    +
    diff --git a/reference/generated/dpnp.linalg.pinv.html b/reference/generated/dpnp.linalg.pinv.html index 9ae974a2547..e20ab4d463f 100644 --- a/reference/generated/dpnp.linalg.pinv.html +++ b/reference/generated/dpnp.linalg.pinv.html @@ -13,7 +13,7 @@ - dpnp.linalg.pinv — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.pinv — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.linalg.qr.html b/reference/generated/dpnp.linalg.qr.html index 9e21fd456af..7d7f892b889 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.qr — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.linalg.slogdet.html b/reference/generated/dpnp.linalg.slogdet.html index 9ba9cd6b4e1..35f34dc593c 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.slogdet — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.linalg.solve.html b/reference/generated/dpnp.linalg.solve.html index 9973d341087..1474dc48b4c 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.solve — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.linalg.svd.html b/reference/generated/dpnp.linalg.svd.html index 23099f3b9e1..c843d1f1285 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.svd — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.linalg.tensorinv.html b/reference/generated/dpnp.linalg.tensorinv.html index bd1378777d1..6bc977b3417 100644 --- a/reference/generated/dpnp.linalg.tensorinv.html +++ b/reference/generated/dpnp.linalg.tensorinv.html @@ -13,7 +13,7 @@ - dpnp.linalg.tensorinv — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.tensorinv — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.linalg.tensorsolve.html b/reference/generated/dpnp.linalg.tensorsolve.html index 2182ddda162..a92efcace6a 100644 --- a/reference/generated/dpnp.linalg.tensorsolve.html +++ b/reference/generated/dpnp.linalg.tensorsolve.html @@ -13,7 +13,7 @@ - dpnp.linalg.tensorsolve — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.linalg.tensorsolve — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.linspace.html b/reference/generated/dpnp.linspace.html index 5815a0b53c5..14a3968e207 100644 --- a/reference/generated/dpnp.linspace.html +++ b/reference/generated/dpnp.linspace.html @@ -13,7 +13,7 @@ - dpnp.linspace — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.linspace — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.loadtxt.html b/reference/generated/dpnp.loadtxt.html index 0a25d48b88b..79440fa4d70 100644 --- a/reference/generated/dpnp.loadtxt.html +++ b/reference/generated/dpnp.loadtxt.html @@ -13,7 +13,7 @@ - dpnp.loadtxt — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.loadtxt — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.log.html b/reference/generated/dpnp.log.html index 9be7a408535..e8c516d2d93 100644 --- a/reference/generated/dpnp.log.html +++ b/reference/generated/dpnp.log.html @@ -13,7 +13,7 @@ - dpnp.log — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.log — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.log10.html b/reference/generated/dpnp.log10.html index 09333c599d7..45af782a3f3 100644 --- a/reference/generated/dpnp.log10.html +++ b/reference/generated/dpnp.log10.html @@ -13,7 +13,7 @@ - dpnp.log10 — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.log10 — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.log1p.html b/reference/generated/dpnp.log1p.html index 28b87717a0e..a362d3c347b 100644 --- a/reference/generated/dpnp.log1p.html +++ b/reference/generated/dpnp.log1p.html @@ -13,7 +13,7 @@ - dpnp.log1p — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.log1p — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.log2.html b/reference/generated/dpnp.log2.html index 5d7e6538bba..43f6a0b4dc5 100644 --- a/reference/generated/dpnp.log2.html +++ b/reference/generated/dpnp.log2.html @@ -13,7 +13,7 @@ - dpnp.log2 — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.log2 — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.logaddexp.html b/reference/generated/dpnp.logaddexp.html index f4aba8d6612..d54c43d3352 100644 --- a/reference/generated/dpnp.logaddexp.html +++ b/reference/generated/dpnp.logaddexp.html @@ -13,7 +13,7 @@ - dpnp.logaddexp — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.logaddexp — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.logical_and.html b/reference/generated/dpnp.logical_and.html index 8a356e0bdaa..93d00b69fa1 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.logical_and — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.logical_not.html b/reference/generated/dpnp.logical_not.html index 5250e170a3f..ed0bf190f08 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.logical_not — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.logical_or.html b/reference/generated/dpnp.logical_or.html index 87312ce811b..923b124e874 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.logical_or — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.logical_xor.html b/reference/generated/dpnp.logical_xor.html index 890062f85f4..c55a15b403a 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.logical_xor — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.logspace.html b/reference/generated/dpnp.logspace.html index c540bf4b5a7..26546bdc32f 100644 --- a/reference/generated/dpnp.logspace.html +++ b/reference/generated/dpnp.logspace.html @@ -13,7 +13,7 @@ - dpnp.logspace — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.logspace — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.logsumexp.html b/reference/generated/dpnp.logsumexp.html index 4c3867ff18c..1468e5630d7 100644 --- a/reference/generated/dpnp.logsumexp.html +++ b/reference/generated/dpnp.logsumexp.html @@ -13,7 +13,7 @@ - dpnp.logsumexp — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.logsumexp — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
- -
  • -
    If x has a boolean or integral data type, the returned array

    will have the default floating point data type for the device -where input array x is allocated.

    -
    -
    -
  • -
  • -
    If x has a complex-valued floating-point data type,

    an error is raised.

    -
    -
    -
  • +array x is allocated.

    +
  • If x has a boolean or integral data type, the returned array +will have the default floating point data type for the device +where input array x is allocated.

  • +
  • If x has a complex-valued floating-point data type, +an error is raised.

  • If the data type (either specified or resolved) differs from the diff --git a/reference/generated/dpnp.matmul.html b/reference/generated/dpnp.matmul.html index 42f5e02d89e..e8144bb7c46 100644 --- a/reference/generated/dpnp.matmul.html +++ b/reference/generated/dpnp.matmul.html @@ -13,7 +13,7 @@ - dpnp.matmul — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.matmul — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy

    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.max.html b/reference/generated/dpnp.max.html index 152a9207e65..58b2145aeed 100644 --- a/reference/generated/dpnp.max.html +++ b/reference/generated/dpnp.max.html @@ -13,7 +13,7 @@ - dpnp.max — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.max — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
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    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
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    -
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    -
  • -
  • -
    If a has a complex-valued floating-point data type,

    the returned array will have the default complex-valued +array a is allocated.

  • +
  • If a has signed integral data type, the returned array +will have the default signed integral type for the device +where input array a is allocated.

  • +
  • If a has unsigned integral data type, the returned array +will have the default unsigned integral type for the device +where input array a is allocated.

  • +
  • If a has a complex-valued floating-point data type, +the returned array will have the default complex-valued floating-pointer data type for the device where input -array a is allocated.

    -
  • -
    - -
  • -
    If a has a boolean data type, the returned array will

    have the default signed integral type for the device -where input array a is allocated.

    -
    -
    -
  • +array a is allocated.

    +
  • If a has a boolean data type, the returned array will +have the default signed integral type for the device +where input array a is allocated.

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    diff --git a/reference/generated/dpnp.ndarray.all.html b/reference/generated/dpnp.ndarray.all.html index 0c63e713abb..65ee12ba340 100644 --- a/reference/generated/dpnp.ndarray.all.html +++ b/reference/generated/dpnp.ndarray.all.html @@ -13,7 +13,7 @@ - dpnp.ndarray.all — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.all — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.any.html b/reference/generated/dpnp.ndarray.any.html index 19acb93a488..3a02a31d5c5 100644 --- a/reference/generated/dpnp.ndarray.any.html +++ b/reference/generated/dpnp.ndarray.any.html @@ -13,7 +13,7 @@ - dpnp.ndarray.any — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.any — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.argmax.html b/reference/generated/dpnp.ndarray.argmax.html index c0eeaaf97cf..2ab0960598e 100644 --- a/reference/generated/dpnp.ndarray.argmax.html +++ b/reference/generated/dpnp.ndarray.argmax.html @@ -13,7 +13,7 @@ - dpnp.ndarray.argmax — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.argmax — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.argmin.html b/reference/generated/dpnp.ndarray.argmin.html index 51a164b67ce..0c8492bbd94 100644 --- a/reference/generated/dpnp.ndarray.argmin.html +++ b/reference/generated/dpnp.ndarray.argmin.html @@ -13,7 +13,7 @@ - dpnp.ndarray.argmin — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.argmin — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.argsort.html b/reference/generated/dpnp.ndarray.argsort.html index dd2af336267..10b8a88b701 100644 --- a/reference/generated/dpnp.ndarray.argsort.html +++ b/reference/generated/dpnp.ndarray.argsort.html @@ -13,7 +13,7 @@ - dpnp.ndarray.argsort — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.argsort — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.astype.html b/reference/generated/dpnp.ndarray.astype.html index 2f3f437f325..350887a982e 100644 --- a/reference/generated/dpnp.ndarray.astype.html +++ b/reference/generated/dpnp.ndarray.astype.html @@ -13,7 +13,7 @@ - dpnp.ndarray.astype — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.astype — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -130,7 +130,7 @@

    dpnp.ndarray.astype ndarray.astype(dtype, order='K', casting='unsafe', subok=True, copy=True)

    Copy the array with data type casting.

    -

    Refer to dpnp.astype for full documentation.

    +

    For full documentation refer to numpy.ndarray.astype.

    Parameters:
      diff --git a/reference/generated/dpnp.ndarray.choose.html b/reference/generated/dpnp.ndarray.choose.html index 323be176a28..f82c77be445 100644 --- a/reference/generated/dpnp.ndarray.choose.html +++ b/reference/generated/dpnp.ndarray.choose.html @@ -13,7 +13,7 @@ - dpnp.ndarray.choose — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.choose — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
      - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
      @@ -136,7 +136,6 @@

      dpnp.ndarray.choose ndarray.choose(choices, out=None, mode='raise')

      Construct an array from an index array and a set of arrays to choose from.

      -

      Refer to dpnp.choose for full documentation.

    diff --git a/reference/generated/dpnp.ndarray.clip.html b/reference/generated/dpnp.ndarray.clip.html index 82c5ff09997..25964090c17 100644 --- a/reference/generated/dpnp.ndarray.clip.html +++ b/reference/generated/dpnp.ndarray.clip.html @@ -13,7 +13,7 @@ - dpnp.ndarray.clip — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.clip — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.conj.html b/reference/generated/dpnp.ndarray.conj.html index 5d44cadbee4..e621bf79432 100644 --- a/reference/generated/dpnp.ndarray.conj.html +++ b/reference/generated/dpnp.ndarray.conj.html @@ -13,7 +13,7 @@ - dpnp.ndarray.conj — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.conj — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -142,7 +142,7 @@

    dpnp.ndarray.conj ndarray.conj()

    Complex-conjugate all elements.

    -

    Refer to dpnp.conjugate for full documentation.

    +

    For full documentation refer to numpy.ndarray.conj.

    diff --git a/reference/generated/dpnp.ndarray.conjugate.html b/reference/generated/dpnp.ndarray.conjugate.html index f84b29ff7c7..9c0222cd8e8 100644 --- a/reference/generated/dpnp.ndarray.conjugate.html +++ b/reference/generated/dpnp.ndarray.conjugate.html @@ -13,7 +13,7 @@ - dpnp.ndarray.conjugate — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.conjugate — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -142,7 +142,7 @@

    dpnp.ndarray.conjugate ndarray.conjugate()

    Return the complex conjugate, element-wise.

    -

    Refer to dpnp.conjugate for full documentation.

    +

    For full documentation refer to numpy.ndarray.conjugate.

    diff --git a/reference/generated/dpnp.ndarray.copy.html b/reference/generated/dpnp.ndarray.copy.html index 018875b8ba9..78beb063d0a 100644 --- a/reference/generated/dpnp.ndarray.copy.html +++ b/reference/generated/dpnp.ndarray.copy.html @@ -13,7 +13,7 @@ - dpnp.ndarray.copy — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.copy — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.cumsum.html b/reference/generated/dpnp.ndarray.cumsum.html index aca64c2cfe5..d43b4b22422 100644 --- a/reference/generated/dpnp.ndarray.cumsum.html +++ b/reference/generated/dpnp.ndarray.cumsum.html @@ -13,7 +13,7 @@ - dpnp.ndarray.cumsum — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.cumsum — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -142,7 +142,10 @@

    dpnp.ndarray.cumsum ndarray.cumsum(axis=None, dtype=None, out=None)

    Return the cumulative sum of the elements along the given axis.

    -

    Refer to dpnp.cumsum for full documentation.

    +
    +

    See also

    +

    dpnp.cumsum

    +
    diff --git a/reference/generated/dpnp.ndarray.diagonal.html b/reference/generated/dpnp.ndarray.diagonal.html index 1233c290ff7..6eef23bbfc6 100644 --- a/reference/generated/dpnp.ndarray.diagonal.html +++ b/reference/generated/dpnp.ndarray.diagonal.html @@ -13,7 +13,7 @@ - dpnp.ndarray.diagonal — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.diagonal — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -136,7 +136,10 @@

    dpnp.ndarray.diagonal ndarray.diagonal(offset=0, axis1=0, axis2=1)

    Return specified diagonals.

    -

    Refer to dpnp.diagonal for full documentation.

    +
    +

    See also

    +

    dpnp.diagonal

    +
    diff --git a/reference/generated/dpnp.ndarray.dtype.html b/reference/generated/dpnp.ndarray.dtype.html index 8be1cd7291d..da38387c1b2 100644 --- a/reference/generated/dpnp.ndarray.dtype.html +++ b/reference/generated/dpnp.ndarray.dtype.html @@ -13,7 +13,7 @@ - dpnp.ndarray.dtype — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.dtype — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.fill.html b/reference/generated/dpnp.ndarray.fill.html index b707438d09f..42a78945ba9 100644 --- a/reference/generated/dpnp.ndarray.fill.html +++ b/reference/generated/dpnp.ndarray.fill.html @@ -13,7 +13,7 @@ - dpnp.ndarray.fill — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.fill — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.flags.html b/reference/generated/dpnp.ndarray.flags.html index 15ec474a512..7257e447f09 100644 --- a/reference/generated/dpnp.ndarray.flags.html +++ b/reference/generated/dpnp.ndarray.flags.html @@ -13,7 +13,7 @@ - dpnp.ndarray.flags — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.flags — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.flat.html b/reference/generated/dpnp.ndarray.flat.html index a2f24aeb1f8..267da8db718 100644 --- a/reference/generated/dpnp.ndarray.flat.html +++ b/reference/generated/dpnp.ndarray.flat.html @@ -13,7 +13,7 @@ - dpnp.ndarray.flat — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.flat — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.flatten.html b/reference/generated/dpnp.ndarray.flatten.html index 4795535d085..8dfebf10573 100644 --- a/reference/generated/dpnp.ndarray.flatten.html +++ b/reference/generated/dpnp.ndarray.flatten.html @@ -13,7 +13,7 @@ - dpnp.ndarray.flatten — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.flatten — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.html b/reference/generated/dpnp.ndarray.html index 986836d6d4b..91f11dd0e15 100644 --- a/reference/generated/dpnp.ndarray.html +++ b/reference/generated/dpnp.ndarray.html @@ -13,7 +13,7 @@ - dpnp.ndarray — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.imag.html b/reference/generated/dpnp.ndarray.imag.html index 35bdafc7199..9202a36154c 100644 --- a/reference/generated/dpnp.ndarray.imag.html +++ b/reference/generated/dpnp.ndarray.imag.html @@ -13,7 +13,7 @@ - dpnp.ndarray.imag — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.imag — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.item.html b/reference/generated/dpnp.ndarray.item.html index 285bb56a07f..873ec581fa2 100644 --- a/reference/generated/dpnp.ndarray.item.html +++ b/reference/generated/dpnp.ndarray.item.html @@ -13,7 +13,7 @@ - dpnp.ndarray.item — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.item — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.itemsize.html b/reference/generated/dpnp.ndarray.itemsize.html index d57a8d75a3f..d747bb22596 100644 --- a/reference/generated/dpnp.ndarray.itemsize.html +++ b/reference/generated/dpnp.ndarray.itemsize.html @@ -13,7 +13,7 @@ - dpnp.ndarray.itemsize — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.itemsize — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.max.html b/reference/generated/dpnp.ndarray.max.html index d90bf2a90d8..cdef2371bf5 100644 --- a/reference/generated/dpnp.ndarray.max.html +++ b/reference/generated/dpnp.ndarray.max.html @@ -13,7 +13,7 @@ - dpnp.ndarray.max — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.max — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.mean.html b/reference/generated/dpnp.ndarray.mean.html index ec834838cb8..41040f08842 100644 --- a/reference/generated/dpnp.ndarray.mean.html +++ b/reference/generated/dpnp.ndarray.mean.html @@ -13,7 +13,7 @@ - dpnp.ndarray.mean — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.mean — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.min.html b/reference/generated/dpnp.ndarray.min.html index c4791a0ec42..161bc88e6e6 100644 --- a/reference/generated/dpnp.ndarray.min.html +++ b/reference/generated/dpnp.ndarray.min.html @@ -13,7 +13,7 @@ - dpnp.ndarray.min — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.min — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.nbytes.html b/reference/generated/dpnp.ndarray.nbytes.html index 8058f2360eb..8f90e61e901 100644 --- a/reference/generated/dpnp.ndarray.nbytes.html +++ b/reference/generated/dpnp.ndarray.nbytes.html @@ -13,7 +13,7 @@ - dpnp.ndarray.nbytes — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.nbytes — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.ndim.html b/reference/generated/dpnp.ndarray.ndim.html index 0c2b0110600..27c6c8b1cbe 100644 --- a/reference/generated/dpnp.ndarray.ndim.html +++ b/reference/generated/dpnp.ndarray.ndim.html @@ -13,7 +13,7 @@ - dpnp.ndarray.ndim — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.ndim — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.nonzero.html b/reference/generated/dpnp.ndarray.nonzero.html index d47a8a55778..d6cbefeb674 100644 --- a/reference/generated/dpnp.ndarray.nonzero.html +++ b/reference/generated/dpnp.ndarray.nonzero.html @@ -13,7 +13,7 @@ - dpnp.ndarray.nonzero — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.nonzero — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.partition.html b/reference/generated/dpnp.ndarray.partition.html index aa978f465b5..8538d5977ba 100644 --- a/reference/generated/dpnp.ndarray.partition.html +++ b/reference/generated/dpnp.ndarray.partition.html @@ -13,7 +13,7 @@ - dpnp.ndarray.partition — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.partition — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.prod.html b/reference/generated/dpnp.ndarray.prod.html index 7dcfef5977d..3531257c2d7 100644 --- a/reference/generated/dpnp.ndarray.prod.html +++ b/reference/generated/dpnp.ndarray.prod.html @@ -13,7 +13,7 @@ - dpnp.ndarray.prod — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.prod — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -142,7 +142,7 @@

    dpnp.ndarray.prod ndarray.prod(axis=None, dtype=None, out=None, keepdims=False, initial=None, where=True)

    Returns the prod along a given axis.

    -

    Refer to dpnp.prod for full documentation.

    +

    For full documentation refer to dpnp.prod.

    diff --git a/reference/generated/dpnp.ndarray.put.html b/reference/generated/dpnp.ndarray.put.html index e67a2d113cf..149b523138a 100644 --- a/reference/generated/dpnp.ndarray.put.html +++ b/reference/generated/dpnp.ndarray.put.html @@ -13,7 +13,7 @@ - dpnp.ndarray.put — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.put — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -136,7 +136,7 @@

    dpnp.ndarray.put ndarray.put(indices, vals, /, *, axis=None, mode='wrap')

    Puts values of an array into another array along a given axis.

    -

    Refer to dpnp.put for full documentation.

    +

    For full documentation refer to numpy.put.

    diff --git a/reference/generated/dpnp.ndarray.ravel.html b/reference/generated/dpnp.ndarray.ravel.html index 85e83ee4859..2271fd54b25 100644 --- a/reference/generated/dpnp.ndarray.ravel.html +++ b/reference/generated/dpnp.ndarray.ravel.html @@ -13,7 +13,7 @@ - dpnp.ndarray.ravel — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.ravel — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -132,7 +132,7 @@

    dpnp.ndarray.ravel ndarray.ravel(order='C')

    Return a contiguous flattened array.

    -

    Refer to dpnp.ravel for full documentation.

    +

    For full documentation refer to dpnp.ravel.

    diff --git a/reference/generated/dpnp.ndarray.real.html b/reference/generated/dpnp.ndarray.real.html index d312667acf8..9efbbb46718 100644 --- a/reference/generated/dpnp.ndarray.real.html +++ b/reference/generated/dpnp.ndarray.real.html @@ -13,7 +13,7 @@ - dpnp.ndarray.real — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.real — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.repeat.html b/reference/generated/dpnp.ndarray.repeat.html index d119e338c81..b56f1338929 100644 --- a/reference/generated/dpnp.ndarray.repeat.html +++ b/reference/generated/dpnp.ndarray.repeat.html @@ -13,7 +13,7 @@ - dpnp.ndarray.repeat — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.repeat — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -136,7 +136,7 @@

    dpnp.ndarray.repeat ndarray.repeat(repeats, axis=None)

    Repeat elements of an array.

    -

    Refer to dpnp.repeat for full documentation.

    +

    For full documentation refer to dpnp.repeat.

    diff --git a/reference/generated/dpnp.ndarray.reshape.html b/reference/generated/dpnp.ndarray.reshape.html index 5ca756f6529..50f42cd3963 100644 --- a/reference/generated/dpnp.ndarray.reshape.html +++ b/reference/generated/dpnp.ndarray.reshape.html @@ -13,7 +13,7 @@ - dpnp.ndarray.reshape — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.reshape — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -132,7 +132,7 @@

    dpnp.ndarray.reshape ndarray.reshape(*sh, **kwargs)

    Returns an array containing the same data with a new shape.

    -

    Refer to dpnp.reshape for full documentation.

    +

    For full documentation refer to numpy.ndarray.reshape.

    Returns:

    y – This will be a new view object if possible; diff --git a/reference/generated/dpnp.ndarray.round.html b/reference/generated/dpnp.ndarray.round.html index b890f6df3a6..a3c4ef6f174 100644 --- a/reference/generated/dpnp.ndarray.round.html +++ b/reference/generated/dpnp.ndarray.round.html @@ -13,7 +13,7 @@ - dpnp.ndarray.round — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.round — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy

    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -142,7 +142,10 @@

    dpnp.ndarray.round ndarray.round(decimals=0, out=None)

    Return array with each element rounded to the given number of decimals.

    -

    Refer to dpnp.round for full documentation.

    +
    +

    See also

    +

    dpnp.around for full documentation.

    +

    diff --git a/reference/generated/dpnp.ndarray.searchsorted.html b/reference/generated/dpnp.ndarray.searchsorted.html index 7b93b504997..c9471ce403f 100644 --- a/reference/generated/dpnp.ndarray.searchsorted.html +++ b/reference/generated/dpnp.ndarray.searchsorted.html @@ -13,7 +13,7 @@ - dpnp.ndarray.searchsorted — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.searchsorted — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.shape.html b/reference/generated/dpnp.ndarray.shape.html index 1e7eb35e424..d8b4603f0ba 100644 --- a/reference/generated/dpnp.ndarray.shape.html +++ b/reference/generated/dpnp.ndarray.shape.html @@ -13,7 +13,7 @@ - dpnp.ndarray.shape — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.shape — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.size.html b/reference/generated/dpnp.ndarray.size.html index ceccc6e6c47..36444649b38 100644 --- a/reference/generated/dpnp.ndarray.size.html +++ b/reference/generated/dpnp.ndarray.size.html @@ -13,7 +13,7 @@ - dpnp.ndarray.size — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.size — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.sort.html b/reference/generated/dpnp.ndarray.sort.html index ba6c2e54ecd..ee5b87e9ff5 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.sort — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.squeeze.html b/reference/generated/dpnp.ndarray.squeeze.html index 42a9ed43f2e..4fe1d34bc99 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.squeeze — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.std.html b/reference/generated/dpnp.ndarray.std.html index 3ccf59dc0ce..e68b7807ba7 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.std — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.strides.html b/reference/generated/dpnp.ndarray.strides.html index ea4a6052302..ff956f2c0b7 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.strides — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ndarray.sum.html b/reference/generated/dpnp.ndarray.sum.html index fa0f3feff4c..21d0e8e6cdf 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.sum — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -142,7 +142,7 @@

    dpnp.ndarray.sum ndarray.sum(*, axis=None, dtype=None, keepdims=False, out=None, initial=0, where=True)

    Returns the sum along a given axis.

    -

    Refer to dpnp.sum for full documentation.

    +

    For full documentation refer to dpnp.sum.

    diff --git a/reference/generated/dpnp.ndarray.swapaxes.html b/reference/generated/dpnp.ndarray.swapaxes.html index 015a84ae284..0ff5bd7221f 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.swapaxes — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -132,7 +132,7 @@

    dpnp.ndarray.swapaxes ndarray.swapaxes(axis1, axis2)

    Interchange two axes of an array.

    -

    Refer to dpnp.swapaxes for full documentation.

    +

    For full documentation refer to numpy.swapaxes.

    diff --git a/reference/generated/dpnp.ndarray.take.html b/reference/generated/dpnp.ndarray.take.html index cde4b4a3097..06151958f81 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.take — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -136,7 +136,7 @@

    dpnp.ndarray.take ndarray.take(indices, /, *, axis=None, out=None, mode='wrap')

    Take elements from an array along an axis.

    -

    Refer to dpnp.take for full documentation.

    +

    For full documentation refer to numpy.take.

    diff --git a/reference/generated/dpnp.ndarray.transpose.html b/reference/generated/dpnp.ndarray.transpose.html index f7adfc8a68a..897d937c4a9 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.ndarray.transpose — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -134,11 +134,22 @@

    dpnp.ndarray.transpose

    Returns a view of the array with axes transposed.

    For full documentation refer to numpy.ndarray.transpose.

    -
    Returns:
    -

    y – View of the array with its axes suitably permuted.

    +
    Parameters:
    +

    axes (None, tuple or list of ints, n ints, optional) –

      +
    • None or no argument: reverses the order of the axes.

    • +
    • tuple or list of ints: i in the j-th place in the tuple/list +means that the array’s i-th axis becomes the transposed +array’s j-th axis.

    • +
    • n ints: same as an n-tuple/n-list of the same ints (this form is +intended simply as a “convenience” alternative to the tuple form).

    • +
    +

    +
    +
    Returns:
    +

    out – View of the array with its axes suitably permuted.

    -
    Return type:
    -

    dpnp.ndarray

    +
    Return type:
    +

    dpnp.ndarray

    @@ -153,8 +164,8 @@

    dpnp.ndarray.transpose

    Examples

    -
    >>> import dpnp as dp
    ->>> a = dp.array([[1, 2], [3, 4]])
    +
    -
    >>> a = dp.array([1, 2, 3, 4])
    +
    >>> a = np.array([1, 2, 3, 4])
     >>> a
     array([1, 2, 3, 4])
     >>> a.transpose()
    diff --git a/reference/generated/dpnp.ndarray.var.html b/reference/generated/dpnp.ndarray.var.html
    index baf417db956..1b40124d491 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 0.15.0dev1+10.g4de1640001 documentation
    +  dpnp.ndarray.var — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation
           
           
     
    @@ -24,7 +24,7 @@
       
             
             
    -        
    +        
             
             
         
    @@ -46,7 +46,7 @@
                 Data Parallel Extension for NumPy
               
                   
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.negative.html b/reference/generated/dpnp.negative.html index 4be037b22bf..314f27afdf0 100644 --- a/reference/generated/dpnp.negative.html +++ b/reference/generated/dpnp.negative.html @@ -13,7 +13,7 @@ - dpnp.negative — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.negative — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.nonzero.html b/reference/generated/dpnp.nonzero.html index 5e1bebfe4af..4b178c0e203 100644 --- a/reference/generated/dpnp.nonzero.html +++ b/reference/generated/dpnp.nonzero.html @@ -13,7 +13,7 @@ - dpnp.nonzero — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.nonzero — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.not_equal.html b/reference/generated/dpnp.not_equal.html index cd2c0e277b9..431424f1355 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.not_equal — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ogrid.html b/reference/generated/dpnp.ogrid.html index 998d6f783b5..3a30101c4a0 100644 --- a/reference/generated/dpnp.ogrid.html +++ b/reference/generated/dpnp.ogrid.html @@ -13,7 +13,7 @@ - dpnp.ogrid — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ogrid — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ones.html b/reference/generated/dpnp.ones.html index fe335528fe9..c79a434b0fb 100644 --- a/reference/generated/dpnp.ones.html +++ b/reference/generated/dpnp.ones.html @@ -13,7 +13,7 @@ - dpnp.ones — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.ones — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.ones_like.html b/reference/generated/dpnp.ones_like.html index 6f38480aef5..bcf4b6875ed 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.ones_like — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.outer.html b/reference/generated/dpnp.outer.html index 6be9772afd0..95ca25f8099 100644 --- a/reference/generated/dpnp.outer.html +++ b/reference/generated/dpnp.outer.html @@ -13,7 +13,7 @@ - dpnp.outer — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.outer — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.partition.html b/reference/generated/dpnp.partition.html index 556c7314279..71a170c51e6 100644 --- a/reference/generated/dpnp.partition.html +++ b/reference/generated/dpnp.partition.html @@ -13,7 +13,7 @@ - dpnp.partition — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.partition — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.place.html b/reference/generated/dpnp.place.html index da58c9e7a9e..4ec2ed82afb 100644 --- a/reference/generated/dpnp.place.html +++ b/reference/generated/dpnp.place.html @@ -13,7 +13,7 @@ - dpnp.place — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.place — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.positive.html b/reference/generated/dpnp.positive.html index a9a5515fa5c..6c31c6561bc 100644 --- a/reference/generated/dpnp.positive.html +++ b/reference/generated/dpnp.positive.html @@ -13,7 +13,7 @@ - dpnp.positive — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.positive — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.power.html b/reference/generated/dpnp.power.html index 8b17a1d5aca..33d1f3ed57b 100644 --- a/reference/generated/dpnp.power.html +++ b/reference/generated/dpnp.power.html @@ -13,7 +13,7 @@ - dpnp.power — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.power — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.prod.html b/reference/generated/dpnp.prod.html index 31d89352f90..c4c0155b41e 100644 --- a/reference/generated/dpnp.prod.html +++ b/reference/generated/dpnp.prod.html @@ -13,7 +13,7 @@ - dpnp.prod — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.prod — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
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    diff --git a/reference/generated/dpnp.round.html b/reference/generated/dpnp.round.html index d470600ff1e..f52a1ed8372 100644 --- a/reference/generated/dpnp.round.html +++ b/reference/generated/dpnp.round.html @@ -13,7 +13,7 @@ - dpnp.round — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.round — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.row_stack.html b/reference/generated/dpnp.row_stack.html index ea53fc6dbb4..96ea9e12717 100644 --- a/reference/generated/dpnp.row_stack.html +++ b/reference/generated/dpnp.row_stack.html @@ -13,7 +13,7 @@ - dpnp.row_stack — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.row_stack — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.rsqrt.html b/reference/generated/dpnp.rsqrt.html index 3f83441b8be..ab01e577395 100644 --- a/reference/generated/dpnp.rsqrt.html +++ b/reference/generated/dpnp.rsqrt.html @@ -13,7 +13,7 @@ - dpnp.rsqrt — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.rsqrt — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.searchsorted.html b/reference/generated/dpnp.searchsorted.html index 00672e93d76..273fba2932f 100644 --- a/reference/generated/dpnp.searchsorted.html +++ b/reference/generated/dpnp.searchsorted.html @@ -13,7 +13,7 @@ - dpnp.searchsorted — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.searchsorted — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.select.html b/reference/generated/dpnp.select.html index 0b85cdb87b9..aca09726468 100644 --- a/reference/generated/dpnp.select.html +++ b/reference/generated/dpnp.select.html @@ -13,7 +13,7 @@ - dpnp.select — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.select — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.shape.html b/reference/generated/dpnp.shape.html index de085dbe081..17687ed2b46 100644 --- a/reference/generated/dpnp.shape.html +++ b/reference/generated/dpnp.shape.html @@ -13,7 +13,7 @@ - dpnp.shape — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.shape — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.sign.html b/reference/generated/dpnp.sign.html index e7f5e71f387..887c5c65c3e 100644 --- a/reference/generated/dpnp.sign.html +++ b/reference/generated/dpnp.sign.html @@ -13,7 +13,7 @@ - dpnp.sign — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.sign — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.signbit.html b/reference/generated/dpnp.signbit.html index 03d43bb87f1..b91177da73e 100644 --- a/reference/generated/dpnp.signbit.html +++ b/reference/generated/dpnp.signbit.html @@ -13,7 +13,7 @@ - dpnp.signbit — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.signbit — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.sin.html b/reference/generated/dpnp.sin.html index 66392b65d09..6bc75a01521 100644 --- a/reference/generated/dpnp.sin.html +++ b/reference/generated/dpnp.sin.html @@ -13,7 +13,7 @@ - dpnp.sin — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.sin — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.sinh.html b/reference/generated/dpnp.sinh.html index ee5a190212f..1c50b4247d4 100644 --- a/reference/generated/dpnp.sinh.html +++ b/reference/generated/dpnp.sinh.html @@ -13,7 +13,7 @@ - dpnp.sinh — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.sinh — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.sort.html b/reference/generated/dpnp.sort.html index 9988e3965ed..db9b0e41acb 100644 --- a/reference/generated/dpnp.sort.html +++ b/reference/generated/dpnp.sort.html @@ -13,7 +13,7 @@ - dpnp.sort — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.sort — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.sqrt.html b/reference/generated/dpnp.sqrt.html index 9a6fd72f004..b6c3d58617f 100644 --- a/reference/generated/dpnp.sqrt.html +++ b/reference/generated/dpnp.sqrt.html @@ -13,7 +13,7 @@ - dpnp.sqrt — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.sqrt — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.square.html b/reference/generated/dpnp.square.html index 00e9703427e..adf54cd47c3 100644 --- a/reference/generated/dpnp.square.html +++ b/reference/generated/dpnp.square.html @@ -13,7 +13,7 @@ - dpnp.square — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.square — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.squeeze.html b/reference/generated/dpnp.squeeze.html index 8408e7b82f0..241a28aa193 100644 --- a/reference/generated/dpnp.squeeze.html +++ b/reference/generated/dpnp.squeeze.html @@ -13,7 +13,7 @@ - dpnp.squeeze — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.squeeze — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.stack.html b/reference/generated/dpnp.stack.html index f2c951bcd3a..46c6f20e81d 100644 --- a/reference/generated/dpnp.stack.html +++ b/reference/generated/dpnp.stack.html @@ -13,7 +13,7 @@ - dpnp.stack — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.stack — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.std.html b/reference/generated/dpnp.std.html index 05dc6920d32..c188800a3ae 100644 --- a/reference/generated/dpnp.std.html +++ b/reference/generated/dpnp.std.html @@ -13,7 +13,7 @@ - dpnp.std — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.std — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.subtract.html b/reference/generated/dpnp.subtract.html index ed8aa7ecf9f..d712587ff7f 100644 --- a/reference/generated/dpnp.subtract.html +++ b/reference/generated/dpnp.subtract.html @@ -13,7 +13,7 @@ - dpnp.subtract — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.subtract — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.sum.html b/reference/generated/dpnp.sum.html index 4a5aed911b7..eb292fd56f3 100644 --- a/reference/generated/dpnp.sum.html +++ b/reference/generated/dpnp.sum.html @@ -13,7 +13,7 @@ - dpnp.sum — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.sum — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -149,38 +149,23 @@

    dpnp.sum type is inferred from the “kind” of the input array data type.

      -
    • -
      If a has a real-valued floating-point data type,

      the returned array will have the default real-valued +

    • If a has a real-valued floating-point data type, +the returned array will have the default real-valued floating-point data type for the device where input -array a is allocated.

      -
    • -
      -
    • -
    • -
      If a has signed integral data type, the returned array

      will have the default signed integral type for the device -where input array a is allocated.

      -
      -
      -
    • -
    • -
      If a has unsigned integral data type, the returned array

      will have the default unsigned integral type for the device -where input array a is allocated.

      -
      -
      -
    • -
    • -
      If a has a complex-valued floating-point data type,

      the returned array will have the default complex-valued +array a is allocated.

    • +
    • If a has signed integral data type, the returned array +will have the default signed integral type for the device +where input array a is allocated.

    • +
    • If a has unsigned integral data type, the returned array +will have the default unsigned integral type for the device +where input array a is allocated.

    • +
    • If a has a complex-valued floating-point data type, +the returned array will have the default complex-valued floating-pointer data type for the device where input -array a is allocated.

      -

    - - -
  • -
    If a has a boolean data type, the returned array will

    have the default signed integral type for the device -where input array a is allocated.

    -
    -
    -
  • +array a is allocated.

    +
  • If a has a boolean data type, the returned array will +have the default signed integral type for the device +where input array a is allocated.

  • If the data type (either specified or resolved) differs from the diff --git a/reference/generated/dpnp.swapaxes.html b/reference/generated/dpnp.swapaxes.html index 72d1773b4b4..921ac28d249 100644 --- a/reference/generated/dpnp.swapaxes.html +++ b/reference/generated/dpnp.swapaxes.html @@ -13,7 +13,7 @@ - dpnp.swapaxes — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.swapaxes — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy

    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.take.html b/reference/generated/dpnp.take.html index 35331208372..9259a6b5ddc 100644 --- a/reference/generated/dpnp.take.html +++ b/reference/generated/dpnp.take.html @@ -13,7 +13,7 @@ - dpnp.take — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.take — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.take_along_axis.html b/reference/generated/dpnp.take_along_axis.html index 81f7679d882..30d5f658e2e 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 0.15.0dev1+10.g4de1640001 documentation + dpnp.take_along_axis — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.tan.html b/reference/generated/dpnp.tan.html index a55aaf5f4e7..427bb82aee2 100644 --- a/reference/generated/dpnp.tan.html +++ b/reference/generated/dpnp.tan.html @@ -13,7 +13,7 @@ - dpnp.tan — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.tan — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.tanh.html b/reference/generated/dpnp.tanh.html index 5a70727c015..7c6cf62531d 100644 --- a/reference/generated/dpnp.tanh.html +++ b/reference/generated/dpnp.tanh.html @@ -13,7 +13,7 @@ - dpnp.tanh — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.tanh — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.tensordot.html b/reference/generated/dpnp.tensordot.html index 28933d4a8c2..929f3ff32f2 100644 --- a/reference/generated/dpnp.tensordot.html +++ b/reference/generated/dpnp.tensordot.html @@ -13,7 +13,7 @@ - dpnp.tensordot — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.tensordot — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -47,7 +47,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -139,12 +139,12 @@

    dpnp.tensordotint or (2,) array_like) –
      -
    • integer_like -If an int N, sum over the last N axes of a and the first N -axes of b in order. The sizes of the corresponding axes must match.

    • -
    • (2,) array_like -Or, a list of axes to be summed over, first sequence applying to a, -second to b. Both elements array_like must be of the same length.

    • +
    • integer_like: If an int N, sum over the last N axes of a and +the first N axes of b in order. The sizes of the corresponding +axes must match.

    • +
    • (2,) array_like: A list of axes to be summed over, first sequence +applying to a, second to b. Both elements array_like must be of +the same length.

    diff --git a/reference/generated/dpnp.tile.html b/reference/generated/dpnp.tile.html index b1dd4d1eafa..2ec3ecd306b 100644 --- a/reference/generated/dpnp.tile.html +++ b/reference/generated/dpnp.tile.html @@ -13,7 +13,7 @@ - dpnp.tile — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.tile — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.trace.html b/reference/generated/dpnp.trace.html index 6416f9389b5..d323608af09 100644 --- a/reference/generated/dpnp.trace.html +++ b/reference/generated/dpnp.trace.html @@ -13,7 +13,7 @@ - dpnp.trace — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.trace — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.transpose.html b/reference/generated/dpnp.transpose.html index 3aba5b33984..8092c005f5a 100644 --- a/reference/generated/dpnp.transpose.html +++ b/reference/generated/dpnp.transpose.html @@ -13,7 +13,7 @@ - dpnp.transpose — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.transpose — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    @@ -139,11 +139,12 @@

    dpnp.transposeParameters:
    • a ({dpnp.ndarray, usm_ndarray}) – Input array.

    • -
    • axes (tuple or list of ints, optional) – If specified, it must be a tuple or list which contains a permutation +

    • axes (None, tuple or list of ints, optional) – If specified, it must be a tuple or list which contains a permutation of [0, 1, …, N-1] where N is the number of axes of a. The i’th axis of the returned array will correspond to the axis -numbered axes[i] of the input. If not specified, defaults to -range(a.ndim)[::-1], which reverses the order of the axes.

    • +numbered axes[i] of the input. If not specified or None, +defaults to range(a.ndim)[::-1], which reverses the order of +the axes.

    Returns:
    @@ -165,30 +166,30 @@

    dpnp.transposeExamples

    -
    >>> import dpnp as dp
    ->>> a = dp.array([[1, 2], [3, 4]])
    +
    >>> import dpnp as np
    +>>> a = np.array([[1, 2], [3, 4]])
     >>> a
     array([[1, 2],
            [3, 4]])
    ->>> dp.transpose(a)
    +>>> np.transpose(a)
     array([[1, 3],
            [2, 4]])
     
    -
    >>> a = dp.array([1, 2, 3, 4])
    +
    >>> a = np.array([1, 2, 3, 4])
     >>> a
     array([1, 2, 3, 4])
    ->>> dp.transpose(a)
    +>>> np.transpose(a)
     array([1, 2, 3, 4])
     
    -
    >>> a = dp.ones((1, 2, 3))
    ->>> dp.transpose(a, (1, 0, 2)).shape
    +
    >>> a = np.ones((1, 2, 3))
    +>>> np.transpose(a, (1, 0, 2)).shape
     (2, 1, 3)
     
    -
    >>> a = dp.ones((2, 3, 4, 5))
    ->>> dp.transpose(a).shape
    +
    >>> a = np.ones((2, 3, 4, 5))
    +>>> np.transpose(a).shape
     (5, 4, 3, 2)
     
    diff --git a/reference/generated/dpnp.trapz.html b/reference/generated/dpnp.trapz.html index 48c258b1061..ddfa376bbc0 100644 --- a/reference/generated/dpnp.trapz.html +++ b/reference/generated/dpnp.trapz.html @@ -13,7 +13,7 @@ - dpnp.trapz — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.trapz — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
    diff --git a/reference/generated/dpnp.tri.html b/reference/generated/dpnp.tri.html index 0c79814b5e6..72353ec172b 100644 --- a/reference/generated/dpnp.tri.html +++ b/reference/generated/dpnp.tri.html @@ -13,7 +13,7 @@ - dpnp.tri — Data Parallel Extension for NumPy 0.15.0dev1+10.g4de1640001 documentation + dpnp.tri — Data Parallel Extension for NumPy 0.15.0dev1+9.g5f99f4ef35 documentation @@ -24,7 +24,7 @@ - + @@ -46,7 +46,7 @@ Data Parallel Extension for NumPy
    - 0.15.0dev1+10.g4de1640001 + 0.15.0dev1+9.g5f99f4ef35
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373, 374, 375, 376, 377, 378, 380, 381, 382, 384, 386, 387, 388, 389, 390, 391, 392, 393, 396, 397, 398, 399, 401, 402, 403, 404, 405, 406, 407, 409, 410, 411, 412, 417, 418, 425, 426, 428, 430, 432, 434, 435, 436, 447], "parallel": [1, 3, 4, 9, 436], "overview": 2, "quick": [2, 3], "start": [2, 3, 20, 36, 38, 130, 137, 180, 191, 389], "guid": [2, 3], "driver": 2, "interpret": [2, 34, 35, 39, 51, 62, 85, 130, 311, 443], "instal": 2, "exampl": [2, 3, 11, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 78, 80, 81, 82, 83, 84, 85, 86, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 142, 143, 144, 145, 147, 148, 149, 150, 151, 152, 153, 154, 158, 159, 160, 161, 162, 164, 166, 168, 169, 170, 171, 173, 174, 175, 176, 177, 178, 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118, 130, 131, 133, 174, 178, 179, 192, 194, 198, 199, 200, 206, 207, 210, 212, 214, 215, 216, 302, 313, 381, 400, 405, 407, 414, 430, 431, 436], "ndarrai": [2, 3, 6, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 78, 79, 80, 81, 82, 83, 84, 85, 86, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 143, 144, 145, 147, 148, 149, 150, 151, 152, 153, 154, 158, 159, 160, 161, 162, 163, 164, 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, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 328, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 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, 422, 423, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436], "univers": [2, 436, 443], "ufunc": [2, 436, 443], "routin": [2, 436, 443], "special": [2, 85, 92, 436, 447], "avail": [2, 3, 4, 85, 436, 443], "comparison": [2, 91, 140, 141, 160, 161, 312, 436, 447], "tabl": [2, 9, 172, 436], "cupi": [2, 436], "miscellan": [2, 436, 447], "c": [2, 4, 32, 34, 35, 36, 38, 39, 40, 53, 56, 62, 63, 70, 82, 83, 85, 89, 90, 94, 98, 135, 136, 138, 149, 158, 164, 171, 175, 181, 193, 268, 273, 280, 293, 311, 314, 315, 320, 378, 380, 384, 392, 413, 414, 434, 435], "backend": [2, 138, 332, 334, 335, 345, 350, 366], "The": [3, 4, 13, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 44, 46, 47, 48, 49, 51, 53, 54, 56, 57, 58, 59, 60, 62, 63, 64, 66, 67, 69, 70, 72, 75, 78, 80, 81, 83, 84, 85, 86, 89, 90, 91, 93, 95, 96, 98, 100, 106, 114, 121, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 140, 141, 143, 144, 145, 147, 148, 150, 159, 160, 161, 162, 164, 166, 167, 169, 171, 172, 173, 174, 175, 177, 178, 179, 180, 181, 182, 183, 184, 185, 187, 189, 191, 192, 193, 194, 195, 199, 200, 201, 202, 204, 205, 206, 207, 210, 212, 214, 215, 216, 273, 280, 281, 290, 294, 310, 311, 312, 313, 314, 315, 319, 320, 322, 323, 325, 329, 332, 334, 335, 345, 350, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 378, 379, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 395, 396, 398, 399, 400, 404, 405, 406, 407, 410, 411, 412, 413, 414, 416, 418, 420, 421, 423, 424, 425, 426, 429, 430, 432, 433, 434, 435, 443, 447], "librari": [3, 4, 443], "implement": [3, 6, 37, 129], 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281, 294, 322, 379, 443], "intel": [3, 4], "ai": [3, 325, 410], "analyt": 3, "toolkit": 3, "distribut": [3, 4, 191, 329, 330, 331, 333, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 357, 358, 360, 361, 363, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 447], "also": [3, 20, 63, 85, 95, 132, 134, 162, 204, 311, 367, 443], "anaconda": 3, "cloud": 3, "page": [3, 447], "learn": [3, 4], "Being": 3, "mean": [3, 6, 40, 44, 83, 130, 131, 133, 172, 197, 211, 214, 216, 268, 280, 329, 342, 344, 347, 351, 370, 374, 375, 378, 384, 405, 407, 430, 443], "usag": [3, 4], "veri": [3, 198], "similar": [3, 34, 35, 83, 85, 137, 180, 191, 273, 329, 357], "np": [3, 4, 11, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 78, 80, 81, 82, 83, 84, 85, 86, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 143, 144, 145, 147, 148, 149, 150, 151, 152, 153, 154, 158, 159, 160, 161, 162, 168, 169, 170, 171, 173, 174, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 273, 277, 281, 282, 290, 294, 301, 310, 311, 312, 313, 314, 315, 316, 319, 321, 322, 323, 324, 325, 328, 354, 363, 376, 377, 378, 379, 380, 381, 382, 383, 386, 387, 388, 389, 390, 391, 392, 393, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 417, 418, 419, 422, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435], "class": [3, 83, 85, 86, 120, 130, 131, 132, 134, 148, 181, 329, 357, 401, 402, 418, 447], "compat": [3, 28, 29, 40, 44, 83, 192, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 268, 381, 384, 405, 407, 430, 447], "altern": [3, 4, 72, 82, 193, 196, 211, 214, 215, 216, 405, 407, 430], "abov": [3, 75, 78, 148, 174, 192, 215, 381, 407, 418, 419, 422], "instanc": [3, 20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 193, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "creat": [3, 4, 20, 32, 34, 35, 36, 37, 38, 62, 75, 76, 78, 83, 85, 89, 90, 98, 129, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 273, 313, 314, 315, 325, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435, 443, 447], "ident": [3, 6, 85, 176, 368], "one": [3, 4, 30, 32, 37, 41, 42, 43, 44, 56, 61, 64, 65, 83, 85, 89, 91, 95, 96, 98, 100, 102, 105, 106, 110, 111, 114, 116, 122, 123, 131, 135, 143, 145, 148, 169, 172, 182, 183, 184, 185, 198, 199, 208, 273, 280, 283, 311, 313, 315, 322, 348, 389, 400, 403, 404, 413, 420, 423, 434, 443], "kei": [3, 30, 83, 85, 120, 228, 258, 400], "differ": [3, 20, 32, 34, 35, 36, 38, 44, 62, 72, 75, 78, 80, 83, 85, 86, 89, 90, 98, 119, 122, 123, 130, 131, 132, 133, 135, 136, 137, 139, 145, 167, 172, 180, 181, 191, 192, 193, 199, 215, 273, 313, 314, 315, 320, 381, 406, 407, 418, 429, 434, 435, 447], "from": [3, 18, 28, 29, 30, 34, 35, 50, 52, 55, 58, 64, 73, 74, 83, 84, 85, 94, 97, 121, 129, 130, 131, 132, 133, 134, 143, 145, 170, 171, 181, 192, 198, 215, 259, 269, 273, 302, 307, 320, 325, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 357, 358, 360, 361, 363, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 381, 384, 385, 391, 393, 394, 402, 403, 404, 407, 409, 410, 428, 429, 432, 433, 447], "memori": [3, 32, 34, 35, 36, 38, 39, 53, 56, 62, 63, 83, 85, 89, 90, 94, 98, 135, 136, 193, 198, 278, 280, 304, 314, 315, 380, 384, 392, 434, 435, 436], "alloc": [3, 4, 20, 32, 34, 35, 36, 37, 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362, 364, 365, 367, 368, 370, 373, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 409, 411, 412, 413, 415, 416, 418, 419, 420, 422, 423, 425, 426, 429, 430, 432, 434, 435, 443], "which": [3, 4, 28, 29, 30, 34, 35, 40, 44, 50, 58, 64, 72, 78, 80, 82, 83, 85, 95, 119, 121, 132, 133, 137, 143, 162, 170, 172, 179, 191, 192, 193, 194, 196, 200, 206, 207, 210, 211, 212, 213, 214, 215, 216, 268, 311, 321, 324, 381, 383, 388, 400, 403, 404, 405, 407, 416, 418, 419, 420, 422, 423, 430, 433, 443], "system": [3, 4, 176], "integr": [3, 4, 44, 83, 192, 196, 203, 211, 214, 215, 216, 301, 320, 380, 381, 405, 407, 417, 430], "discret": [3, 61, 65, 72, 80, 86, 100, 101, 102, 105, 106, 107, 108, 110, 111, 112, 113, 114, 115, 116, 117, 139, 329, 436], "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, 39, 40, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 59, 60, 62, 63, 65, 66, 67, 68, 69, 71, 79, 80, 81, 83, 85, 86, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 144, 145, 149, 150, 151, 152, 153, 154, 159, 160, 161, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 200, 201, 202, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 280, 296, 310, 312, 314, 315, 316, 318, 319, 320, 321, 324, 329, 330, 331, 333, 336, 337, 338, 339, 340, 341, 342, 343, 344, 346, 347, 348, 351, 352, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 366, 369, 370, 371, 372, 373, 374, 375, 376, 377, 380, 381, 382, 384, 386, 387, 390, 392, 393, 396, 397, 398, 399, 400, 401, 402, 403, 405, 406, 407, 409, 411, 412, 417, 425, 426, 430, 433, 434, 435], "host": [3, 4, 20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 418, 429, 434, 435], "do": [3, 4, 85, 331, 389], "have": [3, 4, 18, 28, 29, 33, 41, 42, 43, 44, 51, 53, 57, 58, 63, 70, 72, 82, 84, 85, 94, 119, 143, 171, 192, 193, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 348, 380, 381, 391, 392, 404, 405, 407, 414, 430, 432, 443], "most": [3, 4, 80, 85, 403], "manipul": [3, 76, 436, 447], "ar": [3, 4, 11, 12, 13, 14, 15, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 53, 54, 56, 57, 58, 59, 60, 63, 64, 65, 66, 67, 68, 69, 71, 72, 74, 79, 80, 81, 82, 83, 85, 86, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 121, 122, 123, 124, 125, 126, 127, 128, 132, 137, 139, 140, 141, 144, 149, 150, 151, 152, 153, 154, 159, 160, 161, 162, 166, 167, 169, 170, 171, 172, 173, 176, 177, 178, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 201, 202, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 289, 290, 310, 311, 312, 316, 317, 318, 319, 320, 321, 322, 324, 325, 326, 328, 329, 330, 331, 333, 336, 337, 338, 339, 340, 341, 342, 343, 344, 346, 347, 348, 351, 352, 354, 355, 357, 360, 361, 363, 369, 371, 372, 373, 374, 375, 376, 377, 378, 380, 381, 382, 386, 387, 388, 390, 391, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 409, 411, 412, 413, 415, 417, 421, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 443], "done": [3, 40, 83, 179, 268], "wai": [3, 4, 83, 131, 290, 413], "see": [3, 31, 85, 129, 172, 346, 390, 420, 421, 423, 424, 443], "complet": [3, 4, 131, 132, 174, 389, 443], "list": [3, 6, 9, 32, 34, 35, 36, 38, 41, 42, 43, 50, 58, 62, 75, 78, 84, 85, 135, 136, 137, 143, 180, 181, 191, 193, 385, 391, 394, 404, 413, 416, 429, 432, 433], "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, 46, 47, 48, 49, 50, 51, 53, 54, 59, 60, 62, 63, 65, 66, 67, 68, 69, 71, 74, 79, 81, 83, 85, 86, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 118, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 150, 151, 152, 153, 154, 159, 160, 161, 163, 166, 176, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 193, 194, 195, 196, 197, 200, 201, 202, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 310, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 326, 328, 329, 330, 331, 333, 336, 337, 338, 339, 340, 341, 342, 343, 344, 347, 348, 351, 352, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 369, 370, 371, 372, 373, 374, 375, 376, 377, 380, 382, 384, 386, 387, 390, 392, 394, 396, 397, 398, 399, 400, 401, 402, 405, 406, 407, 409, 411, 412, 415, 417, 425, 426, 428, 430, 434, 435, 451], "along": [3, 4, 14, 16, 17, 19, 28, 29, 30, 44, 57, 58, 68, 71, 72, 75, 78, 80, 83, 84, 86, 121, 122, 123, 126, 127, 132, 137, 139, 143, 148, 172, 174, 178, 179, 180, 191, 192, 194, 195, 196, 197, 198, 200, 201, 206, 207, 208, 209, 210, 211, 212, 214, 215, 216, 265, 266, 267, 274, 284, 286, 291, 292, 303, 305, 307, 309, 323, 324, 325, 381, 383, 388, 389, 391, 400, 404, 405, 407, 409, 410, 413, 414, 415, 417, 420, 423, 430, 432, 443], "limit": [3, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 34, 35, 36, 38, 46, 47, 48, 49, 50, 51, 53, 54, 56, 59, 60, 62, 63, 65, 66, 67, 68, 69, 71, 74, 79, 81, 83, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 146, 150, 151, 152, 153, 154, 159, 160, 161, 163, 166, 176, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 193, 194, 195, 196, 197, 200, 201, 202, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 270, 310, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 326, 328, 329, 330, 331, 333, 336, 337, 338, 339, 340, 341, 342, 343, 344, 346, 347, 348, 351, 352, 354, 355, 357, 360, 363, 365, 366, 367, 368, 369, 371, 372, 373, 374, 375, 376, 377, 380, 382, 384, 386, 387, 390, 392, 394, 396, 397, 398, 399, 400, 401, 402, 405, 406, 407, 409, 411, 412, 415, 417, 425, 426, 428, 430, 434, 435], "To": 4, "program": [4, 124], "beyond": [4, 388], "cpu": [4, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 31, 32, 34, 35, 36, 38, 46, 47, 48, 49, 53, 54, 59, 60, 62, 63, 65, 66, 67, 69, 71, 75, 78, 79, 81, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 124, 125, 126, 127, 128, 130, 131, 132, 133, 135, 136, 137, 139, 140, 141, 144, 145, 150, 151, 152, 153, 154, 159, 160, 161, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 195, 197, 199, 201, 202, 203, 205, 208, 209, 213, 310, 312, 313, 314, 315, 316, 318, 319, 320, 321, 324, 380, 382, 386, 387, 390, 392, 396, 397, 398, 399, 401, 402, 406, 409, 411, 412, 417, 418, 425, 426, 429, 434, 435], "you": [4, 410, 443], "need": [4, 138, 410, 433], "appropri": [4, 28, 29, 138, 179, 192, 194, 200, 206, 207, 210, 212, 329, 357, 360, 381, 443], "hardwar": 4, "work": [4, 31, 39, 73, 202, 327, 410, 443], "fine": 4, "laptop": 4, "graphic": 4, "In": [4, 28, 29, 72, 162, 171, 174, 191, 211, 324, 329, 373, 384, 409], "major": [4, 34, 35, 36, 38, 39, 40, 83, 268, 280, 311, 378], "case": [4, 20, 28, 29, 32, 34, 35, 36, 38, 44, 62, 72, 75, 78, 80, 89, 90, 98, 130, 131, 132, 133, 135, 136, 137, 145, 174, 177, 180, 181, 191, 199, 213, 313, 314, 315, 321, 322, 384, 413, 418, 429, 434, 435], "your": 4, "window": 4, "alreadi": [4, 35, 41, 42, 43], "ha": [4, 18, 30, 44, 46, 47, 48, 49, 72, 85, 95, 105, 110, 132, 143, 147, 150, 175, 177, 192, 196, 211, 214, 215, 216, 324, 379, 380, 381, 383, 389, 403, 404, 405, 407, 408, 414, 430, 443], "all": [4, 6, 9, 15, 19, 33, 40, 44, 57, 68, 80, 83, 84, 85, 93, 94, 96, 98, 121, 122, 123, 130, 131, 133, 137, 143, 145, 162, 170, 173, 180, 191, 206, 207, 210, 212, 215, 268, 271, 277, 290, 322, 331, 388, 391, 401, 403, 432, 443], "necessari": [4, 20, 32, 34, 35, 36, 38, 41, 64, 72, 137, 180, 191, 193, 196, 211, 214, 215, 216, 384, 405, 407, 430], "But": [4, 85], "want": [4, 410], "up": [4, 85, 123], "date": 4, "alwai": [4, 30, 34, 40, 83, 214, 216, 268, 311, 384, 405, 430], "updat": 4, "latest": [4, 129], "follow": [4, 44, 85, 95, 119, 146, 173, 413, 443, 447], "instruct": 4, "step": [4, 20, 137, 180, 191], "8": [4, 13, 15, 41, 53, 56, 64, 70, 75, 76, 80, 83, 85, 121, 137, 147, 151, 164, 175, 177, 178, 180, 191, 208, 311, 320, 321, 323, 329, 353, 372, 379, 388, 392, 398, 409, 413, 417, 419, 422, 429, 433], "9": [4, 13, 41, 56, 64, 70, 72, 75, 76, 81, 83, 89, 99, 125, 133, 137, 173, 174, 177, 191, 205, 282, 311, 323, 329, 331, 333, 353, 379, 388, 401, 406, 413, 419, 422, 425, 429, 433], "If": [4, 15, 20, 28, 29, 30, 32, 34, 35, 36, 37, 38, 40, 44, 56, 58, 70, 72, 75, 80, 82, 83, 85, 95, 98, 119, 121, 134, 137, 143, 147, 148, 149, 162, 169, 170, 171, 172, 173, 174, 177, 179, 180, 181, 191, 192, 194, 196, 198, 200, 206, 207, 210, 211, 212, 214, 215, 216, 268, 299, 301, 325, 329, 351, 373, 379, 380, 381, 384, 388, 391, 393, 400, 401, 403, 404, 405, 407, 408, 410, 413, 414, 416, 429, 430, 431, 432, 443], "yet": [4, 6], "easiest": 4, "It": [4, 28, 29, 56, 72, 82, 192, 193, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 381, 405, 407, 430], "essenti": 4, "machin": [4, 119, 146], "optim": [4, 88], "includ": [4, 20, 28, 29, 32, 34, 35, 36, 37, 38, 44, 62, 75, 78, 135, 136, 137, 138, 173, 180, 191, 192, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 322, 329, 373, 381, 405, 407, 429, 430], "anoth": [4, 64, 83, 129, 273, 292, 324, 389], "vendor": 4, "too": [4, 433], "manual": [4, 85, 414], "shown": 4, "next": [4, 119], "section": [4, 85, 443], "recommend": [4, 311, 414], "us": [4, 13, 20, 32, 34, 35, 36, 37, 38, 39, 40, 46, 47, 48, 49, 52, 56, 58, 62, 70, 72, 75, 76, 78, 81, 83, 85, 89, 90, 91, 95, 98, 124, 125, 130, 131, 132, 133, 134, 135, 136, 137, 138, 140, 141, 145, 147, 148, 149, 150, 159, 160, 161, 162, 170, 171, 173, 180, 181, 187, 189, 191, 193, 196, 198, 199, 205, 211, 214, 216, 223, 268, 273, 310, 311, 312, 313, 314, 315, 319, 320, 325, 329, 332, 334, 335, 345, 350, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 370, 373, 378, 379, 382, 383, 384, 386, 388, 393, 405, 406, 407, 409, 410, 413, 414, 417, 418, 423, 425, 429, 430, 433, 434, 435, 443], "org": 4, "channel": 4, "command": 4, "forg": 4, "pip": 4, "http": [4, 129], "pypi": 4, "simpl": [4, 190, 447], "These": [4, 85, 95, 204, 443, 447], "its": [4, 6, 15, 30, 31, 44, 59, 60, 75, 83, 100, 106, 119, 144, 145, 166, 167, 171, 173, 179, 196, 211, 214, 216, 308, 366, 378, 381, 384, 390, 400, 405, 416, 418, 430, 443], "depend": [4, 166, 172, 174, 177, 180, 394, 433], "control": [4, 40, 52, 58, 64, 83, 143, 193, 268, 391, 404, 432], "requir": [4, 6, 32, 36, 38, 40, 83, 85, 148, 268], "compil": [4, 85, 138], "runtim": 4, "onemkl": 4, "befor": [4, 30, 58, 83, 122, 123, 179, 192, 214, 215, 216, 290, 301, 381, 388, 389, 400, 405, 407, 414, 430, 431], "strongli": [4, 414], "advis": 4, "version": [4, 83, 85, 279, 311], "activ": 4, "local": 4, "environ": 4, "env": 4, "And": [4, 39, 40, 76, 83, 268], "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, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 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, 195, 196, 197, 198, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 310, 311, 312, 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, 386, 387, 388, 389, 390, 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, 422, 423, 424, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435], "recip": 4, "finanli": 4, "setuptool": 4, "o": [4, 85], "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, 83, 85, 89, 90, 98, 135, 136, 145, 304, 314, 315, 329, 418, 434, 435], "dcmake_c_compil": 4, "path": [4, 131, 181], "icx": 4, "dcmake_cxx_compil": 4, "icpx": 4, "script": 4, "build_loc": 4, "scope": 4, "suit": 4, "element": [4, 11, 12, 13, 14, 15, 18, 19, 21, 22, 23, 24, 25, 26, 27, 30, 31, 33, 44, 45, 46, 47, 48, 49, 53, 54, 56, 59, 60, 63, 64, 66, 67, 71, 72, 80, 81, 83, 85, 86, 91, 93, 94, 96, 97, 98, 99, 121, 122, 123, 124, 125, 126, 127, 128, 134, 140, 141, 144, 145, 147, 148, 150, 151, 152, 153, 154, 159, 160, 161, 162, 169, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 198, 200, 201, 202, 203, 205, 208, 209, 210, 212, 213, 214, 215, 216, 263, 264, 271, 272, 274, 276, 277, 280, 282, 283, 285, 287, 289, 290, 295, 296, 297, 298, 300, 303, 304, 307, 309, 310, 311, 312, 318, 319, 320, 321, 322, 324, 326, 378, 379, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 405, 406, 407, 409, 411, 412, 413, 414, 419, 422, 425, 426, 427, 430, 433, 443, 447], "asarrai": [4, 6, 34, 36, 38, 39], "same": [4, 13, 15, 26, 30, 31, 33, 36, 38, 39, 40, 44, 46, 48, 49, 51, 57, 58, 63, 72, 73, 80, 81, 82, 83, 84, 90, 91, 95, 97, 125, 126, 127, 128, 129, 136, 140, 141, 143, 144, 149, 158, 159, 160, 161, 169, 174, 186, 187, 188, 189, 190, 194, 195, 196, 200, 201, 202, 205, 210, 211, 212, 214, 215, 216, 268, 296, 312, 315, 316, 320, 324, 325, 327, 329, 351, 357, 373, 378, 380, 382, 383, 386, 388, 389, 391, 393, 400, 401, 402, 403, 404, 405, 406, 407, 410, 413, 419, 421, 422, 424, 425, 430, 431, 432, 435], "shape": [4, 6, 28, 29, 32, 33, 36, 40, 43, 44, 50, 51, 53, 56, 58, 63, 65, 69, 72, 76, 80, 82, 83, 84, 85, 89, 90, 94, 95, 97, 121, 132, 135, 136, 143, 148, 149, 158, 164, 168, 169, 170, 171, 174, 175, 176, 177, 178, 179, 187, 188, 189, 190, 192, 193, 194, 196, 198, 199, 200, 204, 206, 207, 210, 211, 212, 214, 215, 216, 268, 296, 302, 308, 313, 314, 315, 324, 325, 329, 338, 341, 346, 347, 352, 356, 357, 358, 359, 360, 361, 362, 364, 369, 370, 376, 378, 380, 381, 383, 384, 388, 389, 391, 392, 393, 400, 401, 402, 403, 404, 405, 407, 409, 413, 414, 416, 418, 419, 422, 423, 430, 432, 433, 434, 435, 436, 447], "expect": [4, 18, 53, 63, 72, 82, 85, 94, 192, 196, 211, 214, 215, 216, 380, 381, 392, 405, 407, 430], "comput": [4, 26, 31, 44, 46, 47, 48, 49, 54, 72, 80, 95, 99, 100, 101, 102, 103, 105, 106, 107, 108, 110, 111, 112, 113, 114, 115, 116, 117, 124, 125, 142, 148, 150, 163, 164, 165, 167, 168, 171, 172, 173, 174, 175, 177, 178, 179, 187, 188, 189, 190, 192, 193, 194, 196, 197, 200, 202, 210, 211, 212, 214, 215, 216, 381, 382, 387, 390, 392, 405, 407, 412, 413, 426, 430], "empti": [4, 6, 32, 83, 90, 131, 135, 136, 215, 277, 314, 315, 434, 435], "try": 4, "except": [4, 15, 20, 30, 32, 34, 35, 36, 38, 50, 51, 56, 58, 62, 68, 80, 82, 83, 89, 90, 98, 100, 106, 114, 130, 131, 132, 133, 134, 135, 136, 143, 145, 171, 181, 193, 194, 196, 200, 210, 211, 212, 214, 215, 216, 268, 299, 314, 315, 383, 384, 400, 405, 407, 430, 434, 435], "found": [4, 393, 443], "here": [6, 30, 85, 400], "correspond": [6, 20, 28, 29, 32, 34, 35, 36, 37, 38, 56, 58, 62, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 166, 180, 181, 191, 193, 199, 276, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 388, 395, 405, 413, 416, 418, 429, 430, 434, 435, 443], "column": [6, 34, 35, 36, 38, 39, 40, 57, 58, 72, 83, 84, 98, 122, 123, 143, 145, 166, 171, 174, 177, 268, 280, 378, 391, 404, 418, 420, 423, 429, 432], "v1": 6, "23": [6, 329], "v0": 6, "15": [6, 28, 29, 72, 76, 173, 183, 353, 393], "0dev1": 6, "g4de1640001": 6, "v9": 6, "397": 6, "233": 6, "299": 6, "56": 6, "37": [6, 390], "47": 6, "20": [6, 148, 158, 159, 325, 331, 346, 393, 410], "18": [6, 85, 86, 191], "16": [6, 46, 76, 85, 133, 137, 139, 205, 320, 411], "51": 6, "48": [6, 70, 208], "49": 6, "total": [6, 68, 83, 287, 405, 430], "542": 6, "354": 6, "429": 6, "ab": [6, 12], "absolut": [6, 11, 18, 99, 175, 214, 216, 322, 405, 430], "add": [6, 85], "add_docstr": 6, "add_newdoc": 6, "add_newdoc_ufunc": 6, "allclos": [6, 33, 151, 168, 173, 174, 176, 177, 179], "alltru": 6, "amax": [6, 194], "amin": [6, 200], "angl": [6, 25, 26, 73, 74, 327, 328, 428], "apply_along_axi": 6, "apply_over_ax": 6, "arcco": [6, 22, 23, 25, 26, 66], "arccosh": [6, 21, 24, 27, 67], "arcsin": [6, 21, 24, 25, 26, 398], "arcsinh": [6, 22, 23, 27, 399], "arctan": [6, 18, 21, 23, 26, 27, 411], "arctan2": [6, 18, 25], "arctanh": [6, 22, 24, 25, 26, 412], "argmin": [6, 28, 83, 207, 410, 443], "argpartit": [6, 30, 443], "argsort": [6, 83, 393, 400, 410, 416, 443], "argwher": 6, "around": [6, 83, 137, 324, 390], "array2str": 6, "array_equ": 6, "array_equiv": [6, 33], "array_repr": 6, "array_split": [6, 58], "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, 42, 43, 95], "atleast_2d": [6, 41, 43, 95], "atleast_3d": [6, 41, 42, 95], "averag": [6, 83, 196, 211, 285, 407, 447], "bartlett": 6, "base_repr": 6, "binary_repr": 6, "bincount": 6, "bitwise_and": [6, 47, 48, 49, 150, 187], "bitwise_not": 6, "bitwise_or": [6, 46, 47, 49, 150, 189], "bitwise_xor": [6, 46, 47, 48, 150, 190], "blackman": 6, "block": [6, 58, 84, 143, 391, 404, 432], "bmat": 6, "broadcast_arrai": [6, 51], "broadcast_shap": 6, "broadcast_to": [6, 50, 414], "busday_count": 6, "busday_offset": 6, "byte_bound": 6, "can_cast": [6, 447], "cbrt": [6, 401], "ceil": [6, 31, 124, 125, 387, 390, 426], "choos": [6, 18, 25, 26, 83, 433, 443], "clip": [6, 83, 324, 409, 443], "column_stack": [6, 58, 84, 143, 391, 404, 432], "common_typ": 6, "compare_chararrai": 6, "compress": [6, 409, 443], "concaten": [6, 57, 84, 143, 391, 404, 410, 432], "conj": [6, 83, 147, 162, 322, 379], "conjug": [6, 59, 82, 83, 147, 162, 166, 193, 271, 322, 379, 431], "convolv": [6, 65], "copi": [6, 20, 30, 32, 34, 35, 36, 37, 38, 40, 41, 42, 43, 64, 75, 78, 83, 85, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 198, 199, 223, 268, 280, 282, 290, 296, 299, 313, 314, 315, 317, 319, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 384, 393, 400, 403, 418, 419, 422, 429, 434, 435, 443], "copysign": [6, 310, 319], "copyto": [6, 83, 273], "corrcoef": [6, 69], "correl": [6, 447], "co": [6, 21, 67, 398, 411], "cosh": [6, 22, 66, 399, 412], "count_nonzero": [6, 311], "cov": [6, 347], "cross": [6, 65], "cumprod": [6, 208, 443], "cumproduct": 6, "cumsum": [6, 80, 83, 209, 407, 443], "datetime_as_str": 6, "datetime_data": 6, "deg2rad": [6, 327, 328, 428], "degre": [6, 18, 73, 214, 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190, 191, 192, 193, 194, 195, 196, 197, 200, 201, 202, 205, 206, 207, 210, 211, 212, 213, 214, 215, 216, 220, 221, 224, 226, 227, 229, 230, 231, 232, 233, 234, 235, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 249, 250, 253, 255, 257, 258, 259, 260, 261, 262, 265, 266, 268, 270, 273, 277, 279, 290, 292, 310, 311, 312, 314, 315, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 329, 339, 356, 357, 373, 380, 381, 382, 383, 384, 386, 387, 388, 390, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 405, 406, 407, 409, 410, 411, 412, 415, 425, 426, 428, 430, 433, 434, 435, 443, 447], "wise": [11, 12, 13, 15, 18, 21, 22, 23, 24, 25, 26, 27, 31, 33, 46, 47, 48, 49, 53, 54, 57, 58, 59, 60, 63, 66, 67, 81, 83, 84, 91, 93, 94, 96, 99, 124, 126, 127, 128, 140, 141, 143, 147, 150, 151, 152, 153, 154, 159, 160, 161, 182, 183, 184, 185, 186, 187, 188, 189, 190, 192, 194, 195, 200, 201, 202, 203, 205, 210, 212, 213, 272, 310, 312, 319, 320, 322, 379, 380, 382, 386, 387, 390, 391, 392, 396, 397, 398, 399, 401, 402, 404, 406, 411, 412, 425, 426, 432, 443], "contain": [11, 12, 14, 19, 20, 28, 29, 46, 47, 48, 49, 56, 64, 70, 83, 85, 129, 134, 138, 148, 150, 159, 166, 174, 177, 192, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 296, 311, 329, 380, 381, 386, 401, 405, 407, 416, 420, 423, 430, 443], "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, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 78, 79, 80, 81, 82, 83, 84, 85, 86, 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, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 143, 144, 145, 146, 147, 148, 149, 150, 152, 153, 154, 158, 159, 160, 161, 162, 163, 164, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 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118, 124, 130, 131, 132, 133, 134, 135, 136, 137, 148, 152, 153, 154, 159, 162, 174, 177, 180, 181, 182, 183, 184, 185, 188, 191, 193, 194, 196, 197, 200, 206, 207, 210, 211, 212, 213, 214, 216, 268, 301, 310, 314, 315, 317, 319, 321, 322, 324, 329, 351, 357, 373, 384, 386, 387, 390, 394, 396, 397, 398, 399, 400, 405, 407, 409, 410, 411, 412, 415, 426, 430, 433, 434, 435, 443], "either": [11, 12, 13, 14, 15, 19, 21, 22, 23, 24, 25, 26, 27, 31, 38, 44, 46, 47, 48, 49, 54, 59, 60, 63, 66, 67, 68, 81, 85, 91, 93, 96, 97, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 124, 125, 126, 127, 128, 140, 141, 144, 149, 150, 151, 152, 153, 154, 159, 160, 161, 172, 174, 176, 182, 183, 184, 185, 186, 187, 188, 189, 190, 192, 195, 201, 202, 205, 206, 207, 210, 212, 213, 215, 310, 312, 316, 318, 319, 320, 321, 322, 324, 365, 381, 382, 386, 387, 390, 393, 396, 397, 398, 399, 401, 402, 406, 407, 409, 410, 411, 412, 425, 426], "tensor": [11, 12, 13, 14, 15, 19, 21, 22, 23, 24, 25, 26, 27, 31, 37, 46, 47, 48, 49, 54, 59, 60, 63, 66, 67, 68, 81, 83, 91, 93, 96, 97, 124, 125, 126, 127, 128, 140, 141, 144, 150, 152, 153, 154, 159, 160, 161, 166, 176, 178, 179, 182, 183, 184, 185, 186, 187, 188, 189, 190, 195, 201, 202, 205, 206, 207, 210, 212, 213, 310, 312, 316, 318, 319, 320, 321, 322, 323, 324, 382, 386, 387, 390, 396, 397, 398, 399, 401, 402, 406, 409, 411, 412, 413, 425, 426], "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, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 63, 64, 66, 67, 68, 70, 72, 80, 81, 82, 83, 84, 90, 91, 93, 94, 95, 96, 97, 121, 122, 123, 124, 125, 126, 127, 128, 136, 140, 141, 143, 144, 147, 149, 150, 152, 153, 154, 158, 159, 160, 161, 162, 164, 166, 168, 169, 170, 171, 173, 174, 175, 176, 177, 178, 179, 182, 183, 184, 185, 186, 187, 188, 189, 190, 192, 193, 194, 195, 196, 198, 200, 201, 202, 204, 205, 206, 207, 210, 211, 212, 213, 214, 215, 216, 268, 310, 311, 312, 315, 316, 318, 319, 320, 321, 322, 323, 324, 325, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 416, 419, 422, 425, 426, 430, 431, 432, 433, 435], "keyword": [11, 12, 13, 15, 21, 22, 23, 24, 25, 26, 27, 46, 47, 48, 49, 53, 54, 56, 63, 66, 67, 70, 71, 81, 86, 93, 94, 96, 99, 124, 125, 126, 127, 128, 132, 139, 144, 150, 159, 183, 184, 185, 186, 193, 195, 201, 202, 203, 205, 208, 209, 310, 319, 320, 322, 380, 382, 386, 387, 392, 396, 397, 398, 399, 406, 411, 412, 417, 425, 426, 443], "current": [11, 12, 13, 15, 21, 22, 23, 24, 25, 26, 27, 46, 47, 48, 49, 53, 54, 56, 63, 66, 67, 71, 81, 85, 86, 93, 94, 96, 99, 124, 125, 126, 127, 128, 131, 139, 144, 145, 150, 159, 183, 184, 185, 186, 195, 201, 202, 203, 205, 208, 209, 310, 319, 320, 322, 380, 382, 386, 387, 392, 396, 397, 398, 399, 406, 411, 412, 417, 425, 426], "unsupport": [11, 12, 13, 15, 21, 22, 23, 24, 25, 26, 27, 46, 47, 48, 49, 53, 54, 56, 63, 66, 67, 71, 81, 93, 94, 96, 99, 101, 102, 103, 104, 105, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 124, 125, 126, 127, 128, 139, 144, 150, 159, 183, 184, 185, 186, 195, 201, 202, 203, 205, 208, 209, 310, 319, 320, 322, 380, 382, 386, 387, 392, 396, 397, 398, 399, 406, 411, 412, 417, 425, 426], "sequenti": [11, 12, 13, 14, 15, 19, 21, 22, 23, 24, 25, 26, 27, 31, 46, 47, 48, 49, 53, 54, 59, 60, 63, 65, 66, 67, 69, 71, 79, 81, 86, 87, 88, 91, 92, 93, 94, 96, 97, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 124, 125, 126, 127, 128, 139, 140, 141, 144, 150, 151, 152, 153, 154, 159, 160, 161, 182, 183, 184, 185, 186, 187, 188, 189, 190, 195, 197, 201, 202, 203, 205, 208, 209, 213, 310, 312, 316, 318, 319, 320, 321, 324, 380, 382, 386, 387, 390, 392, 396, 397, 398, 399, 401, 402, 406, 409, 411, 412, 417, 425, 426], "input": [11, 12, 13, 14, 15, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 53, 54, 56, 59, 60, 62, 63, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 78, 79, 80, 81, 82, 83, 86, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 111, 112, 113, 114, 115, 117, 121, 122, 123, 124, 125, 126, 127, 128, 130, 134, 135, 136, 139, 140, 141, 143, 144, 145, 147, 149, 150, 151, 152, 153, 154, 158, 159, 160, 161, 162, 163, 164, 166, 167, 170, 172, 174, 175, 176, 177, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 280, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 328, 329, 351, 357, 373, 378, 379, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 422, 425, 426, 428, 429, 430, 431, 434, 435], "exclud": [11, 12, 180, 329, 373], "note": 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127, 128, 139, 140, 141, 144, 151, 159, 160, 161, 165, 172, 186, 187, 188, 189, 190, 193, 195, 197, 198, 201, 202, 203, 205, 208, 209, 268, 310, 312, 316, 317, 319, 320, 326, 327, 328, 366, 382, 386, 388, 406, 415, 417, 421, 424, 425, 428], "x2": [13, 14, 15, 18, 19, 25, 26, 32, 46, 48, 49, 63, 65, 81, 91, 125, 126, 127, 128, 140, 141, 144, 151, 159, 160, 161, 186, 187, 188, 189, 190, 193, 195, 198, 201, 202, 205, 310, 312, 316, 319, 320, 382, 386, 388, 401, 406, 425], "scalar": [13, 15, 26, 32, 34, 35, 36, 37, 38, 46, 48, 49, 52, 62, 63, 64, 70, 75, 78, 80, 81, 82, 83, 85, 91, 125, 126, 127, 128, 135, 136, 137, 140, 141, 144, 149, 155, 158, 159, 160, 161, 176, 180, 186, 187, 189, 190, 191, 193, 195, 198, 201, 202, 205, 277, 282, 312, 316, 320, 325, 329, 330, 331, 333, 336, 337, 338, 339, 340, 341, 342, 343, 344, 348, 351, 352, 354, 355, 357, 360, 363, 365, 369, 371, 372, 373, 374, 375, 376, 377, 382, 386, 393, 406, 413, 425, 429, 431, 433, 443], "both": [13, 15, 26, 44, 46, 48, 49, 56, 63, 70, 81, 82, 91, 125, 126, 127, 128, 140, 141, 144, 149, 158, 159, 160, 161, 172, 186, 187, 189, 190, 193, 195, 201, 202, 205, 215, 312, 316, 320, 382, 386, 406, 413, 425, 431, 433], "equival": [13, 14, 16, 17, 19, 28, 29, 30, 31, 44, 62, 70, 81, 82, 83, 84, 95, 178, 192, 205, 223, 263, 264, 296, 308, 311, 319, 328, 329, 357, 381, 384, 390, 395, 400, 406, 407, 413, 416, 425, 443], "term": [13, 81, 205, 406, 425], "broadcast": [13, 44, 50, 51, 56, 64, 81, 126, 127, 144, 172, 173, 187, 189, 190, 192, 193, 195, 196, 201, 205, 211, 214, 215, 216, 320, 324, 325, 381, 383, 405, 406, 407, 410, 414, 425, 430, 433], "b": [13, 15, 28, 29, 46, 49, 57, 58, 64, 70, 71, 72, 82, 83, 84, 85, 86, 91, 128, 130, 131, 140, 141, 143, 149, 158, 160, 161, 164, 171, 173, 175, 176, 177, 178, 179, 187, 189, 193, 194, 200, 208, 209, 312, 316, 320, 330, 385, 391, 404, 413, 414, 417, 431, 432], "7": [13, 15, 20, 41, 54, 56, 64, 68, 70, 72, 75, 76, 80, 81, 83, 86, 93, 121, 124, 137, 139, 149, 151, 158, 177, 197, 205, 209, 282, 311, 322, 323, 329, 353, 379, 382, 385, 387, 388, 406, 407, 408, 409, 413, 419, 422, 425, 426, 431, 433], "oper": [13, 46, 47, 48, 49, 81, 85, 91, 95, 125, 140, 141, 150, 159, 160, 161, 162, 187, 188, 189, 190, 193, 205, 310, 312, 319, 320, 324, 382, 386, 406, 414, 425, 436, 447], "axi": [14, 16, 17, 18, 19, 28, 29, 30, 44, 57, 58, 68, 70, 71, 72, 80, 83, 84, 86, 95, 100, 105, 106, 110, 111, 114, 121, 122, 123, 126, 127, 132, 137, 139, 143, 148, 172, 180, 191, 192, 193, 194, 195, 196, 197, 200, 201, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 263, 264, 265, 266, 267, 274, 284, 285, 286, 290, 291, 292, 295, 301, 302, 303, 305, 307, 309, 317, 321, 323, 324, 325, 378, 381, 383, 384, 388, 389, 391, 400, 403, 404, 405, 407, 408, 409, 410, 413, 414, 416, 417, 430, 432, 443], "keepdim": [14, 16, 17, 19, 28, 29, 44, 68, 83, 172, 192, 194, 196, 197, 200, 206, 207, 210, 211, 212, 213, 214, 215, 216, 263, 264, 265, 266, 284, 285, 286, 291, 303, 305, 309, 321, 323, 325, 381, 405, 407, 410, 430], "fals": [14, 15, 16, 17, 18, 19, 28, 29, 32, 33, 36, 38, 40, 44, 46, 47, 49, 50, 51, 52, 62, 68, 69, 72, 83, 85, 90, 91, 118, 132, 136, 137, 140, 141, 148, 150, 151, 152, 153, 154, 160, 161, 162, 170, 172, 173, 177, 180, 187, 188, 189, 190, 191, 192, 194, 196, 197, 198, 200, 206, 207, 210, 211, 212, 213, 214, 215, 216, 263, 264, 265, 266, 268, 284, 285, 286, 291, 303, 305, 309, 311, 312, 315, 321, 323, 381, 384, 397, 405, 407, 429, 430, 433, 435], "whether": [14, 15, 19, 85, 162, 174, 180, 384], "given": [14, 19, 20, 28, 29, 31, 32, 34, 35, 36, 38, 40, 44, 57, 62, 68, 69, 71, 72, 80, 82, 83, 84, 85, 86, 89, 90, 118, 121, 126, 127, 135, 136, 137, 139, 144, 168, 180, 191, 194, 195, 198, 200, 201, 208, 209, 210, 212, 213, 214, 215, 216, 265, 266, 268, 274, 286, 291, 292, 297, 303, 305, 309, 311, 314, 315, 321, 323, 324, 329, 334, 356, 373, 381, 383, 387, 388, 389, 390, 391, 393, 405, 407, 413, 414, 417, 418, 430, 432, 434, 435, 443], "evalu": [14, 15, 19, 83, 87, 88, 91, 179, 198, 263, 264, 316, 413], "logic": [14, 19, 187, 189, 190, 436, 447], "AND": [14, 46, 47, 48, 49, 150, 187, 188, 189, 190], "reduct": [14, 19], "method": [14, 16, 17, 19, 30, 40, 62, 82, 83, 85, 120, 129, 131, 170, 173, 177, 268, 273, 296, 311, 329, 384, 395, 407, 416, 436], "Not": [14, 19, 152, 208, 210, 212, 213, 215, 321], "number": [14, 18, 19, 20, 31, 44, 45, 50, 51, 59, 60, 68, 78, 80, 83, 85, 95, 98, 119, 124, 125, 130, 131, 133, 134, 137, 145, 146, 152, 163, 170, 172, 174, 175, 177, 178, 179, 180, 191, 208, 210, 212, 213, 214, 215, 216, 288, 297, 299, 300, 311, 321, 322, 329, 331, 341, 365, 382, 383, 387, 388, 389, 390, 396, 397, 405, 408, 414, 416, 418, 426, 429, 430, 447], "becaus": [14, 19], "x3": [14, 19], "rtol": [15, 151], "1e": [15, 96, 151, 173, 183, 184, 186, 347], "05": [15, 151], "atol": [15, 151], "08": [15, 66, 151, 347, 398], "two": [15, 33, 41, 42, 46, 47, 48, 49, 61, 65, 70, 78, 80, 82, 83, 85, 87, 88, 95, 149, 150, 151, 158, 166, 171, 176, 187, 189, 190, 193, 194, 195, 200, 201, 204, 210, 212, 290, 306, 316, 329, 358, 408, 413, 420, 423, 431], "within": [15, 20, 33, 40, 83, 151, 268, 324, 329, 373], "toler": [15, 33, 151], "A": [15, 20, 32, 34, 35, 36, 37, 38, 39, 40, 50, 51, 53, 56, 57, 62, 63, 64, 72, 75, 78, 83, 85, 89, 90, 94, 95, 98, 121, 122, 123, 129, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 162, 167, 170, 171, 174, 175, 180, 181, 191, 193, 199, 213, 215, 268, 273, 280, 299, 311, 313, 314, 315, 321, 329, 331, 348, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 378, 380, 383, 392, 397, 408, 413, 414, 416, 418, 429, 434, 435], "boolean": [15, 46, 48, 49, 64, 85, 148, 151, 152, 153, 154, 187, 188, 189, 190, 192, 196, 211, 213, 214, 215, 216, 311, 381, 384, 397, 405, 407, 409, 430], "dim": 15, "typeerror": [15, 44, 64, 68, 100, 106, 114], "rais": [15, 20, 30, 32, 34, 35, 36, 38, 50, 51, 55, 56, 62, 64, 68, 82, 83, 89, 90, 94, 98, 100, 106, 114, 130, 131, 132, 133, 134, 135, 136, 145, 169, 171, 181, 192, 193, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 268, 269, 299, 314, 315, 320, 381, 384, 400, 402, 403, 405, 407, 430, 434, 435], "integ": [15, 20, 31, 44, 46, 47, 48, 49, 51, 72, 83, 85, 124, 125, 146, 150, 151, 159, 169, 172, 178, 192, 194, 196, 200, 210, 211, 212, 214, 215, 216, 301, 320, 324, 329, 357, 360, 365, 381, 382, 384, 386, 387, 390, 393, 402, 405, 407, 409, 413, 426, 430, 443], "1e10": [15, 151], "00001e10": [15, 151], "initi": [16, 17, 83, 89, 134, 194, 200, 210, 212, 213, 215, 284, 286, 291, 305, 321, 329, 407], "alia": [16, 17, 81, 119, 217, 329, 359, 362, 364, 391, 425, 432], "z": [18, 20, 32, 34, 35, 36, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 135, 136, 137, 145, 180, 181, 191, 198, 199, 313, 314, 315, 339, 418, 429, 434, 435], "deg": [18, 328], "point": [18, 20, 25, 34, 35, 44, 63, 85, 89, 90, 98, 119, 130, 131, 132, 134, 135, 136, 145, 169, 180, 181, 192, 196, 211, 214, 215, 216, 314, 315, 329, 358, 370, 380, 381, 393, 405, 407, 418, 430, 434, 435, 447], "option": [18, 20, 28, 29, 30, 32, 34, 35, 36, 37, 38, 40, 44, 52, 53, 56, 58, 62, 63, 64, 70, 72, 75, 78, 80, 82, 83, 85, 89, 90, 94, 98, 121, 130, 131, 132, 133, 134, 135, 136, 137, 143, 145, 148, 162, 170, 171, 172, 173, 174, 177, 178, 179, 180, 181, 191, 192, 193, 194, 196, 198, 199, 200, 206, 207, 210, 211, 212, 214, 215, 216, 268, 280, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 378, 380, 381, 383, 384, 388, 389, 391, 392, 393, 400, 403, 404, 405, 407, 409, 416, 418, 419, 420, 421, 422, 423, 424, 429, 430, 432, 433, 434, 435], "counterclockwis": 18, "plane": 18, "determin": [18, 131, 132, 134, 157, 164, 174, 175, 187, 189, 190, 193], "promot": [18, 20, 32, 34, 35, 36, 38, 52, 137, 180, 191, 193, 385, 414], "rule": [18, 20, 32, 34, 35, 36, 38, 44, 52, 64, 70, 137, 180, 191, 192, 193, 196, 211, 214, 215, 216, 381, 385, 405, 407, 417, 430], "although": [18, 85, 414], "undefin": [18, 83, 290], "arc": [18, 25, 26], "tangent": [18, 21, 22, 23, 24, 25, 26, 27, 66, 67, 398, 399, 411, 412], "quadrant": [18, 25, 26], "correctli": [18, 25, 26, 172, 311], "trigonometr": [18, 21, 22, 23, 24, 25, 26, 27, 66, 67, 398, 399, 411, 412, 447], "invers": [18, 21, 22, 23, 24, 25, 26, 27, 47, 66, 67, 94, 95, 96, 106, 107, 108, 109, 110, 111, 112, 113, 150, 168, 173, 178, 179, 182, 184, 375, 398, 399, 411, 412], "0j": [18, 82, 83, 193, 281, 294, 396], "57079633": [18, 26, 328, 428], "78539816": [18, 25, 26, 428], "mai": [18, 40, 52, 56, 58, 64, 72, 83, 85, 95, 143, 166, 174, 191, 193, 211, 214, 216, 268, 325, 391, 404, 414, 432, 443], "vari": [18, 132, 148, 166, 211, 214, 216], "90": [18, 74, 433], "45": [18, 26], "OR": [19, 46, 47, 48, 49, 150, 187, 188, 189, 190], "stop": [20, 137, 180, 191], "like": [20, 32, 34, 35, 36, 38, 40, 41, 42, 43, 57, 83, 84, 89, 98, 130, 131, 132, 133, 134, 135, 137, 145, 180, 181, 191, 268, 314, 329, 373, 384, 434, 447], "usm_typ": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 418, 429, 434, 435], "sycl_queu": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "evenli": [20, 137, 180, 191, 387, 390], "interv": [20, 95, 137, 180, 191, 329, 357, 359, 361, 362, 364, 372, 373, 408], "end": [20, 85, 137, 180, 191], "doe": [20, 52, 174], "some": [20, 85, 95, 97, 124, 149, 433, 443], "off": 20, "affect": 20, "length": [20, 44, 72, 80, 83, 91, 134, 137, 143, 177, 191, 198, 299, 332, 384, 385, 391, 393, 395, 403, 413, 414, 432], "between": [20, 52, 80, 86, 119, 131, 134, 149, 167, 180, 191, 346, 360, 428], "specifi": [20, 30, 32, 34, 35, 36, 38, 44, 51, 52, 58, 62, 72, 75, 78, 79, 83, 89, 90, 98, 121, 130, 131, 132, 133, 135, 136, 137, 145, 172, 178, 179, 180, 181, 191, 192, 196, 197, 199, 211, 213, 214, 215, 216, 267, 275, 313, 314, 315, 321, 329, 342, 352, 370, 378, 381, 388, 389, 404, 405, 407, 413, 416, 418, 429, 430, 434, 435], "must": [20, 28, 29, 44, 51, 53, 56, 57, 58, 63, 72, 80, 82, 84, 94, 95, 97, 122, 131, 134, 143, 162, 171, 172, 178, 179, 181, 192, 193, 194, 196, 200, 204, 206, 207, 210, 211, 212, 214, 215, 216, 324, 325, 380, 381, 388, 391, 392, 393, 404, 405, 407, 408, 410, 413, 416, 430, 432], "desir": [20, 32, 34, 35, 36, 38, 39, 51, 89, 90, 98, 135, 136, 137, 145, 180, 191, 314, 315, 389, 414, 418, 434, 435], "repres": [20, 32, 34, 35, 36, 37, 38, 44, 83, 85, 129, 132, 137, 148, 175, 180, 191, 198, 216, 299, 329, 443], "consid": [20, 32, 34, 35, 36, 38, 88, 137, 152, 170, 180, 191, 193, 329, 357], "capabl": [20, 32, 34, 35, 36, 38, 44, 137, 180, 191, 193], "when": [20, 32, 34, 35, 36, 38, 39, 40, 44, 62, 64, 83, 85, 137, 172, 174, 180, 191, 193, 210, 212, 268, 389, 409, 413, 433], "string": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 85, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435, 443], "sycldevic": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "syclqueu": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "concept": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435, 443], "output": [20, 30, 32, 34, 35, 36, 37, 38, 53, 56, 62, 63, 72, 75, 78, 80, 82, 85, 89, 90, 91, 94, 98, 130, 131, 132, 133, 134, 135, 136, 137, 140, 141, 145, 147, 148, 160, 161, 171, 180, 181, 191, 193, 196, 198, 199, 207, 211, 214, 215, 216, 259, 312, 313, 314, 315, 329, 330, 331, 333, 336, 337, 338, 339, 340, 341, 342, 343, 344, 348, 351, 352, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 379, 380, 383, 392, 400, 403, 405, 407, 414, 418, 429, 430, 434, 435, 447], "oneapi": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "filter": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "selector": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "non": [20, 28, 29, 32, 34, 35, 36, 37, 38, 44, 45, 62, 68, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 152, 166, 180, 181, 191, 194, 199, 200, 206, 207, 210, 212, 214, 216, 289, 311, 313, 314, 315, 320, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 401, 413, 418, 429, 433, 434, 435], "object": [20, 32, 34, 35, 36, 37, 38, 39, 62, 75, 78, 83, 85, 89, 90, 95, 98, 119, 120, 129, 130, 131, 132, 133, 134, 135, 136, 137, 145, 146, 148, 166, 172, 180, 181, 191, 199, 296, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 384, 418, 429, 434, 435, 443], "dpnp_arrai": [20, 32, 34, 35, 36, 38, 62, 75, 78, 89, 90, 98, 119, 129, 130, 131, 132, 133, 134, 135, 136, 137, 145, 146, 148, 180, 181, 191, 199, 217, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 419, 422, 429, 434, 435, 436], "properti": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 174, 180, 181, 191, 199, 218, 276, 278, 279, 281, 283, 287, 288, 294, 299, 300, 304, 308, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435, 443], "share": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 418, 429, 434, 435], "usm": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 403, 418, 429, 434, 435], "queue": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "notimplementederror": [20, 30, 32, 34, 35, 36, 38, 50, 51, 56, 62, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 145, 181, 193, 194, 196, 200, 210, 211, 212, 214, 215, 216, 268, 314, 315, 400, 405, 407, 430, 434, 435], "care": 20, "handl": [20, 85, 181, 311, 409, 447], "endpoint": [20, 137, 180, 191], "level_zero": [20, 32, 34, 35, 36, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 135, 136, 137, 145, 180, 181, 191, 199, 313, 314, 315, 418, 429, 434, 435], "opencl": [20, 32, 34, 35, 36, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 135, 136, 137, 145, 180, 181, 191, 199, 313, 314, 315, 418, 429, 434, 435], "cosin": [21, 22, 23, 24, 25, 26, 27, 66, 67, 398, 399, 411, 412], "sine": [21, 22, 23, 24, 25, 26, 27, 66, 67, 398, 399, 411, 412], "hyperbol": [21, 22, 23, 24, 25, 26, 27, 66, 67, 398, 399, 411, 412, 447], "14159265": [21, 26], "65745445": 22, "99322285": 22, "5707963267948966": 23, "72538256": 24, "99822295": 24, "180": 26, "135": 26, "54930614": 27, "search": [28, 29, 206, 207, 436, 447], "index": [28, 29, 30, 55, 83, 85, 98, 148, 198, 206, 207, 269, 304, 311, 324, 325, 378, 384, 393, 409, 410, 433, 436, 447], "should": [28, 29, 40, 82, 83, 131, 138, 151, 169, 192, 193, 194, 200, 204, 206, 207, 210, 212, 268, 298, 346, 381, 384, 393, 413, 443], "reduc": [28, 29, 44, 174, 177, 192, 194, 196, 198, 200, 206, 207, 210, 211, 212, 214, 215, 216, 381, 405, 407, 430], "ax": [28, 29, 44, 80, 82, 83, 95, 101, 103, 104, 107, 108, 109, 112, 113, 115, 117, 121, 149, 172, 176, 178, 179, 192, 193, 194, 196, 200, 204, 206, 207, 210, 211, 212, 214, 215, 216, 299, 306, 308, 381, 388, 389, 403, 405, 407, 408, 413, 414, 416, 430], "dimens": [28, 29, 32, 41, 42, 43, 44, 57, 58, 64, 69, 70, 76, 80, 83, 85, 95, 122, 123, 143, 148, 149, 170, 172, 174, 192, 194, 196, 198, 199, 200, 204, 206, 207, 210, 211, 212, 214, 215, 216, 280, 288, 299, 311, 313, 325, 329, 359, 361, 362, 364, 381, 384, 395, 403, 404, 405, 407, 408, 410, 414, 420, 421, 423, 424, 430, 443, 447], "singleton": [28, 29, 44, 95, 192, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 381, 403, 405, 407, 430], "accordingli": [28, 29, 194, 200, 206, 207, 210, 212], "first": [28, 29, 30, 44, 57, 58, 63, 70, 82, 85, 94, 121, 149, 156, 157, 158, 171, 178, 181, 193, 194, 198, 200, 206, 207, 320, 378, 384, 388, 391, 393, 400, 402, 408, 410, 413, 431, 432], "occurr": [28, 29, 45, 206, 207], "igonr": [28, 29, 206, 207], "convert": [28, 29, 32, 34, 35, 36, 37, 38, 39, 41, 42, 43, 62, 73, 74, 75, 78, 85, 95, 135, 136, 137, 180, 191, 327, 328, 428, 429], "flat": [28, 29, 83, 120, 280, 383], "tupl": [28, 29, 32, 34, 35, 36, 38, 44, 51, 62, 75, 76, 78, 83, 85, 95, 121, 132, 135, 136, 137, 148, 158, 172, 174, 179, 180, 191, 192, 193, 194, 196, 198, 199, 200, 210, 211, 212, 214, 215, 216, 299, 311, 313, 381, 384, 388, 395, 403, 405, 407, 414, 416, 420, 423, 429, 430, 443], "appli": [28, 29, 30, 44, 52, 187, 189, 190, 385, 413], "index_arrai": [28, 29, 30], "call": [28, 29, 30, 36, 38, 85, 132, 171, 223, 311, 403, 414], "multipl": [28, 29, 30, 44, 58, 70, 85, 143, 166, 167, 168, 171, 192, 194, 196, 200, 210, 211, 212, 214, 215, 216, 381, 391, 400, 404, 405, 407, 430, 432, 436], "11": [28, 29, 44, 67, 76, 83, 139, 296, 348, 357, 390, 393, 399, 419, 422, 433], "12": [28, 29, 43, 70, 76, 85, 147, 191, 321, 323, 353, 393, 419, 422, 433], "13": [28, 29, 47, 76, 82, 85, 150, 193, 209, 393], "14": [28, 29, 46, 47, 76, 82, 149, 150, 393, 413], "24": [28, 29, 70, 71, 86, 149, 158, 178, 321, 413], "re": [28, 29, 45, 142, 388, 427], "set": [28, 29, 32, 40, 55, 76, 78, 83, 85, 89, 135, 145, 148, 170, 172, 173, 180, 258, 268, 269, 279, 314, 315, 396, 397, 434, 435, 443], "kind": [30, 40, 52, 58, 64, 83, 85, 119, 143, 171, 192, 193, 215, 267, 268, 290, 301, 317, 381, 391, 400, 404, 407, 432, 447], "would": [30, 58, 83, 85, 132, 148, 171, 193, 290, 329, 400, 404, 410, 416], "last": [30, 70, 80, 121, 137, 149, 171, 180, 191, 193, 378, 384, 388, 393, 400, 403, 413], "stabl": [30, 400], "unlik": [30, 83, 296, 400], "other": [30, 40, 50, 51, 80, 83, 85, 124, 132, 145, 171, 204, 220, 221, 224, 226, 227, 229, 230, 231, 232, 233, 234, 235, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 249, 250, 253, 255, 257, 260, 261, 262, 268, 322, 329, 373, 389, 400, 436, 447], "accept": [30, 329, 400], "yield": [30, 311, 329, 433, 443], "gener": [30, 44, 85, 137, 167, 173, 174, 181, 191, 329, 331, 334, 365, 429, 443, 447], "irrespect": 30, "axiserror": [30, 400], "indirect": [30, 400], "partial": [30, 400], "ind": [30, 178, 420, 423], "decim": [31, 83, 119, 297, 387, 390], "detail": [31, 129, 390, 420, 421, 423, 424, 443], "nearest": [31, 124, 125, 382, 387, 390, 426], "truncat": [31, 54, 124, 367, 387, 390, 426], "ndmin": 32, "array_lik": [32, 34, 35, 36, 37, 38, 39, 44, 62, 64, 75, 78, 135, 136, 137, 167, 172, 180, 191, 325, 329, 395, 413, 421, 424, 429], "form": [32, 34, 35, 36, 37, 38, 57, 62, 75, 78, 84, 135, 136, 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"dpnp.ndarray.conj": [[271, "dpnp-ndarray-conj"]], "dpnp.ndarray.conjugate": [[272, "dpnp-ndarray-conjugate"]], "dpnp.ndarray.copy": [[273, "dpnp-ndarray-copy"]], "dpnp.ndarray.cumsum": [[274, "dpnp-ndarray-cumsum"]], "dpnp.ndarray.diagonal": [[275, "dpnp-ndarray-diagonal"]], "dpnp.ndarray.dtype": [[276, "dpnp-ndarray-dtype"]], "dpnp.ndarray.fill": [[277, "dpnp-ndarray-fill"]], "dpnp.ndarray.flags": [[278, "dpnp-ndarray-flags"]], "dpnp.ndarray.flat": [[279, "dpnp-ndarray-flat"]], "dpnp.ndarray.flatten": [[280, "dpnp-ndarray-flatten"]], "dpnp.ndarray.imag": [[281, "dpnp-ndarray-imag"]], "dpnp.ndarray.item": [[282, "dpnp-ndarray-item"]], "dpnp.ndarray.itemsize": [[283, "dpnp-ndarray-itemsize"]], "dpnp.ndarray.max": [[284, "dpnp-ndarray-max"]], "dpnp.ndarray.mean": [[285, "dpnp-ndarray-mean"]], "dpnp.ndarray.min": [[286, "dpnp-ndarray-min"]], "dpnp.ndarray.nbytes": [[287, "dpnp-ndarray-nbytes"]], "dpnp.ndarray.ndim": [[288, "dpnp-ndarray-ndim"]], "dpnp.ndarray.nonzero": [[289, "dpnp-ndarray-nonzero"]], "dpnp.ndarray.partition": [[290, "dpnp-ndarray-partition"]], "dpnp.ndarray.prod": [[291, "dpnp-ndarray-prod"]], "dpnp.ndarray.put": [[292, "dpnp-ndarray-put"]], "dpnp.ndarray.ravel": [[293, "dpnp-ndarray-ravel"]], "dpnp.ndarray.real": [[294, "dpnp-ndarray-real"]], "dpnp.ndarray.repeat": [[295, "dpnp-ndarray-repeat"]], "dpnp.ndarray.reshape": [[296, "dpnp-ndarray-reshape"]], "dpnp.ndarray.round": [[297, "dpnp-ndarray-round"]], "dpnp.ndarray.searchsorted": [[298, "dpnp-ndarray-searchsorted"]], "dpnp.ndarray.shape": [[299, "dpnp-ndarray-shape"]], "dpnp.ndarray.size": [[300, "dpnp-ndarray-size"]], "dpnp.ndarray.sort": [[301, "dpnp-ndarray-sort"]], "dpnp.ndarray.squeeze": [[302, "dpnp-ndarray-squeeze"]], "dpnp.ndarray.std": [[303, "dpnp-ndarray-std"]], "dpnp.ndarray.strides": [[304, "dpnp-ndarray-strides"]], "dpnp.ndarray.sum": [[305, "dpnp-ndarray-sum"]], "dpnp.ndarray.swapaxes": [[306, "dpnp-ndarray-swapaxes"]], "dpnp.ndarray.take": [[307, "dpnp-ndarray-take"]], "dpnp.ndarray.transpose": [[308, "dpnp-ndarray-transpose"]], "dpnp.ndarray.var": [[309, "dpnp-ndarray-var"]], "dpnp.negative": [[310, "dpnp-negative"]], "dpnp.nonzero": [[311, "dpnp-nonzero"]], "dpnp.not_equal": [[312, "dpnp-not-equal"]], "dpnp.ogrid": [[313, "dpnp-ogrid"]], "dpnp.ones": [[314, "dpnp-ones"]], "dpnp.ones_like": [[315, "dpnp-ones-like"]], "dpnp.outer": [[316, "dpnp-outer"]], "dpnp.partition": [[317, "dpnp-partition"]], "dpnp.place": [[318, "dpnp-place"]], "dpnp.positive": [[319, "dpnp-positive"]], "dpnp.power": [[320, "dpnp-power"]], "dpnp.prod": [[321, "dpnp-prod"]], "dpnp.proj": [[322, "dpnp-proj"]], "dpnp.ptp": [[323, "dpnp-ptp"]], "dpnp.put": [[324, "dpnp-put"]], "dpnp.put_along_axis": [[325, "dpnp-put-along-axis"]], "dpnp.putmask": [[326, "dpnp-putmask"]], "dpnp.rad2deg": [[327, "dpnp-rad2deg"]], "dpnp.radians": [[328, "dpnp-radians"]], "dpnp.random.RandomState": [[329, "dpnp-random-randomstate"]], "dpnp.random.beta": [[330, "dpnp-random-beta"]], "dpnp.random.binomial": [[331, "dpnp-random-binomial"]], "dpnp.random.bytes": [[332, "dpnp-random-bytes"]], "dpnp.random.chisquare": [[333, "dpnp-random-chisquare"]], "dpnp.random.choice": [[334, "dpnp-random-choice"]], "dpnp.random.dirichlet": [[335, "dpnp-random-dirichlet"]], "dpnp.random.exponential": [[336, "dpnp-random-exponential"]], "dpnp.random.f": [[337, "dpnp-random-f"]], "dpnp.random.gamma": [[338, "dpnp-random-gamma"]], "dpnp.random.geometric": [[339, "dpnp-random-geometric"]], "dpnp.random.gumbel": [[340, "dpnp-random-gumbel"]], "dpnp.random.hypergeometric": [[341, "dpnp-random-hypergeometric"]], "dpnp.random.laplace": [[342, "dpnp-random-laplace"]], "dpnp.random.logistic": [[343, "dpnp-random-logistic"]], "dpnp.random.lognormal": [[344, "dpnp-random-lognormal"]], "dpnp.random.logseries": [[345, "dpnp-random-logseries"]], "dpnp.random.multinomial": [[346, "dpnp-random-multinomial"]], "dpnp.random.multivariate_normal": [[347, "dpnp-random-multivariate-normal"]], "dpnp.random.negative_binomial": [[348, "dpnp-random-negative-binomial"]], "dpnp.random.noncentral_chisquare": [[349, "dpnp-random-noncentral-chisquare"]], "dpnp.random.noncentral_f": [[350, "dpnp-random-noncentral-f"]], "dpnp.random.normal": [[351, "dpnp-random-normal"]], "dpnp.random.pareto": [[352, "dpnp-random-pareto"]], "dpnp.random.permutation": [[353, "dpnp-random-permutation"]], "dpnp.random.poisson": [[354, "dpnp-random-poisson"]], "dpnp.random.power": [[355, "dpnp-random-power"]], "dpnp.random.rand": [[356, "dpnp-random-rand"]], "dpnp.random.randint": [[357, "dpnp-random-randint"]], "dpnp.random.randn": [[358, "dpnp-random-randn"]], "dpnp.random.random": [[359, "dpnp-random-random"]], "dpnp.random.random_integers": [[360, "dpnp-random-random-integers"]], "dpnp.random.random_sample": [[361, "dpnp-random-random-sample"]], "dpnp.random.ranf": [[362, "dpnp-random-ranf"]], "dpnp.random.rayleigh": [[363, "dpnp-random-rayleigh"]], "dpnp.random.sample": [[364, "dpnp-random-sample"]], "dpnp.random.seed": [[365, "dpnp-random-seed"]], "dpnp.random.shuffle": [[366, "dpnp-random-shuffle"]], "dpnp.random.standard_cauchy": [[367, "dpnp-random-standard-cauchy"]], "dpnp.random.standard_exponential": [[368, "dpnp-random-standard-exponential"]], "dpnp.random.standard_gamma": [[369, "dpnp-random-standard-gamma"]], "dpnp.random.standard_normal": [[370, "dpnp-random-standard-normal"]], "dpnp.random.standard_t": [[371, "dpnp-random-standard-t"]], "dpnp.random.triangular": [[372, "dpnp-random-triangular"]], "dpnp.random.uniform": [[373, "dpnp-random-uniform"]], "dpnp.random.vonmises": [[374, "dpnp-random-vonmises"]], "dpnp.random.wald": [[375, "dpnp-random-wald"]], "dpnp.random.weibull": [[376, "dpnp-random-weibull"]], "dpnp.random.zipf": [[377, "dpnp-random-zipf"]], "dpnp.ravel": [[378, "dpnp-ravel"]], "dpnp.real": [[379, "dpnp-real"]], "dpnp.reciprocal": [[380, "dpnp-reciprocal"]], "dpnp.reduce_hypot": [[381, "dpnp-reduce-hypot"]], "dpnp.remainder": [[382, "dpnp-remainder"]], "dpnp.repeat": [[383, "dpnp-repeat"]], "dpnp.reshape": [[384, "dpnp-reshape"]], "dpnp.result_type": [[385, "dpnp-result-type"]], "dpnp.right_shift": [[386, "dpnp-right-shift"]], "dpnp.rint": [[387, "dpnp-rint"]], "dpnp.roll": [[388, "dpnp-roll"]], "dpnp.rollaxis": [[389, "dpnp-rollaxis"]], "dpnp.round": [[390, "dpnp-round"]], "dpnp.row_stack": [[391, "dpnp-row-stack"]], "dpnp.rsqrt": [[392, "dpnp-rsqrt"]], "dpnp.searchsorted": [[393, "dpnp-searchsorted"]], "dpnp.select": [[394, "dpnp-select"]], "dpnp.shape": [[395, "dpnp-shape"]], "dpnp.sign": [[396, "dpnp-sign"]], "dpnp.signbit": [[397, "dpnp-signbit"]], "dpnp.sin": [[398, "dpnp-sin"]], "dpnp.sinh": [[399, "dpnp-sinh"]], "dpnp.sort": [[400, "dpnp-sort"]], "dpnp.sqrt": [[401, "dpnp-sqrt"]], "dpnp.square": [[402, "dpnp-square"]], "dpnp.squeeze": [[403, "dpnp-squeeze"]], "dpnp.stack": [[404, "dpnp-stack"]], "dpnp.std": [[405, "dpnp-std"]], "dpnp.subtract": [[406, "dpnp-subtract"]], "dpnp.sum": [[407, "dpnp-sum"]], "dpnp.swapaxes": [[408, 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"dpnp-vstack"]], "dpnp.where": [[433, "dpnp-where"]], "dpnp.zeros": [[434, "dpnp-zeros"]], "dpnp.zeros_like": [[435, "dpnp-zeros-like"]], "API Reference": [[436, "api-reference"]], "Array Indexing Routines": [[437, "array-indexing-routines"]], "Generating index arrays": [[437, "generating-index-arrays"]], "Indexing-like operations": [[437, "indexing-like-operations"]], "Inserting data into arrays": [[437, "inserting-data-into-arrays"]], "Iterating over arrays": [[437, "iterating-over-arrays"]], "Matrix and vector products": [[438, "matrix-and-vector-products"]], "Decompositions": [[438, "decompositions"]], "Matrix eigenvalues": [[438, "matrix-eigenvalues"]], "Norms and other numbers": [[438, "norms-and-other-numbers"]], "Solving linear equations": [[438, "solving-linear-equations"]], "Logic Functions": [[439, "logic-functions"]], "Truth value testing": [[439, "truth-value-testing"]], "Infinities and NaNs": [[439, "infinities-and-nans"]], "Array type testing": [[439, "array-type-testing"]], "Logic operations": [[439, "logic-operations"]], "Comparison": [[439, "comparison"]], "Array Manipulation Routines": [[440, "array-manipulation-routines"]], "Basic operations": [[440, "basic-operations"]], "Changing array shape": [[440, "changing-array-shape"]], "Transpose-like operations": [[440, "transpose-like-operations"]], "Changing number of dimensions": [[440, "changing-number-of-dimensions"]], "Changing kind of array": [[440, "changing-kind-of-array"]], "Joining arrays": [[440, "joining-arrays"]], "Splitting arrays": [[440, "splitting-arrays"]], "Tiling arrays": [[440, "tiling-arrays"]], "Adding and removing elements": [[440, "adding-and-removing-elements"]], "Rearranging elements": [[440, "rearranging-elements"]], "Mathematical Functions": [[441, "mathematical-functions"]], "Trigonometric functions": [[441, "trigonometric-functions"], [451, "trigonometric-functions"]], "Hyperbolic functions": [[441, "hyperbolic-functions"]], "Rounding": [[441, "rounding"]], "Sums, products, differences": [[441, "sums-products-differences"]], "Exponents and logarithms": [[441, "exponents-and-logarithms"]], "Other special functions": [[441, "other-special-functions"]], "Floating point routines": [[441, "floating-point-routines"]], "Rational routines": [[441, "rational-routines"]], "Arithmetic operations": [[441, "arithmetic-operations"]], "Handling complex numbers": [[441, "handling-complex-numbers"]], "Extrema Finding": [[441, "extrema-finding"]], "Miscellaneous routines": [[442, "miscellaneous-routines"]], "Utility": [[442, "utility"]], "Multi-Dimensional Array (ndarray)": [[443, "multi-dimensional-array-ndarray"]], "Constructing arrays": [[443, "constructing-arrays"]], "Indexing arrays": [[443, "indexing-arrays"]], "Array attributes": [[443, "array-attributes"]], "Memory layout": [[443, "memory-layout"]], "Data type": [[443, "data-type"]], "Other attributes": [[443, "other-attributes"]], "Array methods": [[443, "array-methods"]], "Array conversion": [[443, "array-conversion"]], "Shape manipulation": [[443, "shape-manipulation"]], "Item selection and manipulation": [[443, "item-selection-and-manipulation"]], "Calculation": [[443, "calculation"]], "Arithmetic, matrix multiplication, and comparison operations": [[443, "arithmetic-matrix-multiplication-and-comparison-operations"]], "Special methods": [[443, "special-methods"]], "Padding": [[444, "padding"]], "Polynomials": [[445, "polynomials"]], "Polynomial Package": [[445, "polynomial-package"]], "Polynomial Module": [[445, "polynomial-module"]], "Polyutils": [[445, "polyutils"]], "Poly1d": [[445, "poly1d"]], "Basics": [[445, "basics"]], "Arithmetic": [[445, "arithmetic"]], "Random Sampling (dpnp.random)": [[446, "random-sampling-dpnp-random"]], "Simple random data": [[446, "simple-random-data"]], "Permutations": [[446, "permutations"]], "Distributions": [[446, "distributions"]], "Random generator": [[446, "random-generator"]], "Routines": [[447, "routines"]], "Sorting, Searching, and Counting": [[448, "sorting-searching-and-counting"]], "Sorting": [[448, "sorting"]], "Searching": [[448, "searching"]], "Counting": [[448, "counting"]], "Special Functions": [[449, "special-functions"]], "Error Function": [[449, "error-function"]], "Statistical Functions": [[450, "statistical-functions"]], "Order statistics": [[450, "order-statistics"]], "Averages and variances": [[450, "averages-and-variances"]], "Histograms": [[450, "histograms"]], "Correlations": [[450, "correlations"]], "Universal Functions (ufunc)": [[451, "universal-functions-ufunc"]], "Available ufuncs": [[451, "available-ufuncs"]], "Math operations": [[451, "math-operations"]], "Bit-twiddling functions": [[451, "bit-twiddling-functions"]], "Comparison functions": [[451, "comparison-functions"]], "Floating functions": [[451, "floating-functions"]]}, "indexentries": {"dpnp": [[2, "module-dpnp"], [3, "module-dpnp"]], "module": [[2, "module-dpnp"], [3, "module-dpnp"], [10, "module-dpnp.fft"], [446, "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 module dpnp)": [[38, "dpnp.asfortranarray"]], "asnumpy() (in module dpnp)": [[39, "dpnp.asnumpy"]], "astype() (in module dpnp)": [[40, "dpnp.astype"]], "atleast_1d() (in module dpnp)": [[41, "dpnp.atleast_1d"]], "atleast_2d() (in module dpnp)": [[42, "dpnp.atleast_2d"]], "atleast_3d() (in module dpnp)": [[43, "dpnp.atleast_3d"]], "average() (in module dpnp)": [[44, "dpnp.average"]], "bincount() (in module dpnp)": [[45, "dpnp.bincount"]], "bitwise_and() (in module dpnp)": 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"copyto() (in module dpnp)": [[64, "dpnp.copyto"]], "correlate() (in module dpnp)": [[65, "dpnp.correlate"]], "cos() (in module dpnp)": [[66, "dpnp.cos"]], "cosh() (in module dpnp)": [[67, "dpnp.cosh"]], "count_nonzero() (in module dpnp)": [[68, "dpnp.count_nonzero"]], "cov() (in module dpnp)": [[69, "dpnp.cov"]], "cross() (in module dpnp)": [[70, "dpnp.cross"]], "cumprod() (in module dpnp)": [[71, "dpnp.cumprod"]], "cumsum() (in module dpnp)": [[72, "dpnp.cumsum"]], "deg2rad() (in module dpnp)": [[73, "dpnp.deg2rad"]], "degrees() (in module dpnp)": [[74, "dpnp.degrees"]], "diag() (in module dpnp)": [[75, "dpnp.diag"]], "diag_indices() (in module dpnp)": [[76, "dpnp.diag_indices"]], "diag_indices_from() (in module dpnp)": [[77, "dpnp.diag_indices_from"]], "diagflat() (in module dpnp)": [[78, "dpnp.diagflat"]], "diagonal() (in module dpnp)": [[79, "dpnp.diagonal"]], "diff() (in module dpnp)": [[80, "dpnp.diff"]], "divide() (in module dpnp)": [[81, "dpnp.divide"]], "dot() (in module 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dpnp)": [[97, "dpnp.extract"]], "eye() (in module dpnp)": [[98, "dpnp.eye"]], "fabs() (in module dpnp)": [[99, "dpnp.fabs"]], "fft() (in module dpnp.fft)": [[100, "dpnp.fft.fft"]], "fft2() (in module dpnp.fft)": [[101, "dpnp.fft.fft2"]], "fftfreq() (in module dpnp.fft)": [[102, "dpnp.fft.fftfreq"]], "fftn() (in module dpnp.fft)": [[103, "dpnp.fft.fftn"]], "fftshift() (in module dpnp.fft)": [[104, "dpnp.fft.fftshift"]], "hfft() (in module dpnp.fft)": [[105, "dpnp.fft.hfft"]], "ifft() (in module dpnp.fft)": [[106, "dpnp.fft.ifft"]], "ifft2() (in module dpnp.fft)": [[107, "dpnp.fft.ifft2"]], "ifftn() (in module dpnp.fft)": [[108, "dpnp.fft.ifftn"]], "ifftshift() (in module dpnp.fft)": [[109, "dpnp.fft.ifftshift"]], "ihfft() (in module dpnp.fft)": [[110, "dpnp.fft.ihfft"]], "irfft() (in module dpnp.fft)": [[111, "dpnp.fft.irfft"]], "irfft2() (in module dpnp.fft)": [[112, "dpnp.fft.irfft2"]], "irfftn() (in module dpnp.fft)": [[113, "dpnp.fft.irfftn"]], "rfft() (in module dpnp.fft)": [[114, 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dpnp.linalg)": [[171, "dpnp.linalg.multi_dot"]], "norm() (in module dpnp.linalg)": [[172, "dpnp.linalg.norm"]], "pinv() (in module dpnp.linalg)": [[173, "dpnp.linalg.pinv"]], "qr() (in module dpnp.linalg)": [[174, "dpnp.linalg.qr"]], "slogdet() (in module dpnp.linalg)": [[175, "dpnp.linalg.slogdet"]], "solve() (in module dpnp.linalg)": [[176, "dpnp.linalg.solve"]], "svd() (in module dpnp.linalg)": [[177, "dpnp.linalg.svd"]], "tensorinv() (in module dpnp.linalg)": [[178, "dpnp.linalg.tensorinv"]], "tensorsolve() (in module dpnp.linalg)": [[179, "dpnp.linalg.tensorsolve"]], "linspace() (in module dpnp)": [[180, "dpnp.linspace"]], "loadtxt() (in module dpnp)": [[181, "dpnp.loadtxt"]], "log() (in module dpnp)": [[182, "dpnp.log"]], "log10() (in module dpnp)": [[183, "dpnp.log10"]], "log1p() (in module dpnp)": [[184, "dpnp.log1p"]], "log2() (in module dpnp)": [[185, "dpnp.log2"]], "logaddexp() (in module dpnp)": [[186, "dpnp.logaddexp"]], "logical_and() (in module dpnp)": [[187, 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398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 416, 417, 418, 419, 422, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435], "multi": [2, 83, 101, 103, 107, 108, 112, 113, 115, 117, 199, 304, 313, 436], "dimension": [2, 4, 28, 29, 30, 61, 65, 68, 76, 77, 78, 80, 83, 100, 101, 102, 103, 105, 106, 107, 108, 110, 111, 112, 113, 114, 115, 116, 117, 118, 130, 131, 133, 174, 178, 179, 192, 194, 198, 199, 200, 206, 207, 210, 212, 214, 215, 216, 302, 313, 381, 400, 405, 407, 414, 430, 431, 436], "ndarrai": [2, 3, 6, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 78, 79, 80, 81, 82, 83, 84, 85, 86, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 143, 144, 145, 147, 148, 149, 150, 151, 152, 153, 154, 158, 159, 160, 161, 162, 163, 164, 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, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 328, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 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, 422, 423, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436], "univers": [2, 436, 443], "ufunc": [2, 436, 443], "routin": [2, 436, 443], "special": [2, 85, 92, 436, 447], "avail": [2, 3, 4, 85, 436, 443], "comparison": [2, 91, 140, 141, 160, 161, 312, 436, 447], "tabl": [2, 9, 436], "cupi": [2, 436], "miscellan": [2, 436, 447], "c": [2, 4, 32, 34, 35, 36, 38, 39, 40, 53, 56, 62, 63, 70, 82, 83, 85, 89, 90, 94, 98, 135, 136, 138, 149, 158, 164, 171, 172, 175, 181, 193, 268, 273, 280, 293, 311, 314, 315, 320, 378, 380, 384, 392, 413, 414, 434, 435], "backend": [2, 138, 332, 334, 335, 345, 350, 366], "The": [3, 4, 13, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 44, 46, 47, 48, 49, 51, 53, 54, 56, 57, 58, 59, 60, 62, 63, 64, 66, 67, 69, 70, 75, 78, 80, 81, 83, 84, 85, 86, 89, 90, 91, 93, 95, 96, 98, 100, 106, 114, 121, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 140, 141, 143, 144, 145, 147, 148, 150, 159, 160, 161, 162, 164, 166, 167, 169, 171, 172, 173, 174, 175, 177, 178, 179, 180, 181, 182, 183, 184, 185, 187, 189, 191, 192, 193, 194, 195, 199, 200, 201, 202, 204, 205, 206, 207, 210, 212, 214, 215, 216, 273, 280, 281, 290, 294, 310, 311, 312, 313, 314, 315, 319, 320, 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443], "usag": [3, 4], "veri": [3, 198], "similar": [3, 34, 35, 83, 85, 137, 180, 191, 273, 329, 357], "np": [3, 4, 11, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 78, 80, 81, 82, 83, 84, 85, 86, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 143, 144, 145, 147, 148, 149, 150, 151, 152, 153, 154, 158, 159, 160, 161, 162, 168, 169, 170, 171, 172, 173, 174, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 273, 277, 281, 282, 290, 294, 301, 308, 310, 311, 312, 313, 314, 315, 316, 319, 321, 322, 323, 324, 325, 328, 354, 363, 376, 377, 378, 379, 380, 381, 382, 383, 386, 387, 388, 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351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435, 443, 447], "ident": [3, 6, 85, 176, 368], "one": [3, 4, 30, 32, 37, 41, 42, 43, 44, 56, 61, 64, 65, 83, 85, 89, 91, 95, 96, 98, 100, 102, 105, 106, 110, 111, 114, 116, 122, 123, 131, 135, 143, 145, 148, 169, 172, 182, 183, 184, 185, 198, 199, 208, 273, 280, 283, 311, 313, 315, 322, 348, 389, 400, 403, 404, 413, 420, 423, 434, 443], "kei": [3, 30, 83, 85, 120, 228, 258, 400], "differ": [3, 20, 32, 34, 35, 36, 38, 44, 62, 72, 75, 78, 80, 83, 85, 86, 89, 90, 98, 119, 122, 123, 130, 131, 132, 133, 135, 136, 137, 139, 145, 167, 180, 181, 191, 192, 193, 199, 215, 273, 313, 314, 315, 320, 381, 406, 407, 418, 429, 434, 435, 447], "from": [3, 18, 28, 29, 30, 34, 35, 50, 52, 55, 58, 64, 73, 74, 83, 84, 85, 94, 97, 121, 129, 130, 131, 132, 133, 134, 143, 145, 170, 171, 181, 192, 198, 215, 259, 269, 273, 302, 307, 320, 325, 327, 328, 329, 330, 331, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 357, 358, 360, 361, 363, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 381, 384, 385, 391, 393, 394, 402, 403, 404, 407, 409, 410, 428, 429, 432, 433, 447], "memori": [3, 32, 34, 35, 36, 38, 39, 53, 56, 62, 63, 83, 85, 89, 90, 94, 98, 135, 136, 193, 198, 278, 280, 304, 314, 315, 380, 384, 392, 434, 435, 436], "alloc": [3, 4, 20, 32, 34, 35, 36, 37, 38, 40, 44, 62, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 192, 196, 199, 211, 214, 215, 216, 268, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 380, 381, 403, 405, 407, 418, 429, 430, 434, 435], "default": [3, 11, 12, 13, 14, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 40, 44, 46, 47, 48, 49, 50, 51, 53, 54, 56, 58, 59, 60, 62, 63, 65, 66, 67, 69, 70, 75, 78, 79, 80, 81, 83, 85, 86, 89, 90, 91, 93, 94, 96, 98, 100, 106, 118, 121, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 140, 141, 143, 144, 145, 148, 150, 152, 153, 154, 159, 160, 161, 162, 170, 172, 173, 174, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 205, 206, 207, 210, 211, 212, 213, 214, 215, 216, 268, 273, 280, 310, 312, 313, 314, 315, 317, 319, 320, 321, 322, 324, 329, 333, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 367, 368, 370, 373, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 409, 411, 412, 413, 415, 416, 418, 419, 420, 422, 423, 425, 426, 429, 430, 432, 434, 435, 443], "which": [3, 4, 28, 29, 30, 34, 35, 40, 44, 50, 58, 64, 78, 80, 82, 83, 85, 95, 119, 121, 132, 133, 137, 143, 162, 170, 172, 179, 191, 192, 193, 194, 196, 200, 206, 207, 210, 211, 212, 213, 214, 215, 216, 268, 311, 321, 324, 381, 383, 388, 400, 403, 404, 405, 407, 416, 418, 419, 420, 422, 423, 430, 433, 443], "system": [3, 4, 176], "integr": [3, 4, 44, 83, 192, 196, 203, 211, 214, 215, 216, 301, 320, 380, 381, 405, 407, 417, 430], "discret": [3, 61, 65, 72, 80, 86, 100, 101, 102, 105, 106, 107, 108, 110, 111, 112, 113, 114, 115, 116, 117, 139, 329, 436], "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, 39, 40, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 59, 60, 62, 63, 65, 66, 67, 68, 69, 71, 72, 79, 80, 81, 83, 85, 86, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 144, 145, 149, 150, 151, 152, 153, 154, 159, 160, 161, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 200, 201, 202, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 280, 296, 310, 312, 314, 315, 316, 318, 319, 320, 321, 324, 329, 330, 331, 333, 336, 337, 338, 339, 340, 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60, 63, 64, 65, 66, 67, 68, 69, 71, 72, 74, 79, 80, 81, 82, 83, 85, 86, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 121, 122, 123, 124, 125, 126, 127, 128, 132, 137, 139, 140, 141, 144, 149, 150, 151, 152, 153, 154, 159, 160, 161, 162, 166, 167, 169, 170, 171, 172, 173, 176, 177, 178, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 201, 202, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 289, 290, 310, 311, 312, 316, 317, 318, 319, 320, 321, 322, 324, 325, 326, 328, 329, 330, 331, 333, 336, 337, 338, 339, 340, 341, 342, 343, 344, 346, 347, 348, 351, 352, 354, 355, 357, 360, 361, 363, 369, 371, 372, 373, 374, 375, 376, 377, 378, 380, 381, 382, 386, 387, 388, 390, 391, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 409, 411, 412, 413, 415, 417, 421, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 443], "done": [3, 40, 83, 179, 268], "wai": [3, 4, 83, 131, 290, 413], "see": [3, 31, 85, 129, 346, 390, 420, 421, 423, 424, 443], "complet": [3, 4, 131, 132, 174, 389, 443], "list": [3, 6, 9, 32, 34, 35, 36, 38, 41, 42, 43, 50, 58, 62, 75, 78, 83, 84, 85, 135, 136, 137, 143, 180, 181, 191, 193, 308, 385, 391, 394, 404, 413, 416, 429, 432, 433], "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, 46, 47, 48, 49, 50, 51, 53, 54, 59, 60, 62, 63, 65, 66, 67, 68, 69, 71, 72, 74, 79, 81, 83, 85, 86, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 118, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 150, 151, 152, 153, 154, 159, 160, 161, 163, 166, 176, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 193, 194, 195, 196, 197, 200, 201, 202, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 310, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 326, 328, 329, 330, 331, 333, 336, 337, 338, 339, 340, 341, 342, 343, 344, 347, 348, 351, 352, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 369, 370, 371, 372, 373, 374, 375, 376, 377, 380, 382, 384, 386, 387, 390, 392, 394, 396, 397, 398, 399, 400, 401, 402, 405, 406, 407, 409, 411, 412, 415, 417, 425, 426, 428, 430, 434, 435, 451], "along": [3, 4, 14, 16, 17, 19, 28, 29, 30, 44, 57, 58, 68, 71, 72, 75, 78, 80, 83, 84, 86, 121, 122, 123, 126, 127, 132, 137, 139, 143, 148, 172, 174, 178, 179, 180, 191, 192, 194, 195, 196, 197, 198, 200, 201, 206, 207, 208, 209, 210, 211, 212, 214, 215, 216, 265, 266, 267, 274, 284, 286, 291, 292, 303, 305, 307, 309, 323, 324, 325, 381, 383, 388, 389, 391, 400, 404, 405, 407, 409, 410, 413, 414, 415, 417, 420, 423, 430, 432, 443], "limit": [3, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 34, 35, 36, 38, 46, 47, 48, 49, 50, 51, 53, 54, 56, 59, 60, 62, 63, 65, 66, 67, 68, 69, 71, 72, 74, 79, 81, 83, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 146, 150, 151, 152, 153, 154, 159, 160, 161, 163, 166, 176, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 193, 194, 195, 196, 197, 200, 201, 202, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 268, 270, 310, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 326, 328, 329, 330, 331, 333, 336, 337, 338, 339, 340, 341, 342, 343, 344, 346, 347, 348, 351, 352, 354, 355, 357, 360, 363, 365, 366, 367, 368, 369, 371, 372, 373, 374, 375, 376, 377, 380, 382, 384, 386, 387, 390, 392, 394, 396, 397, 398, 399, 400, 401, 402, 405, 406, 407, 409, 411, 412, 415, 417, 425, 426, 428, 430, 434, 435], "To": 4, "program": [4, 124], "beyond": [4, 388], "cpu": [4, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 24, 25, 26, 27, 31, 32, 34, 35, 36, 38, 46, 47, 48, 49, 53, 54, 59, 60, 62, 63, 65, 66, 67, 69, 71, 72, 75, 78, 79, 81, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 124, 125, 126, 127, 128, 130, 131, 132, 133, 135, 136, 137, 139, 140, 141, 144, 145, 150, 151, 152, 153, 154, 159, 160, 161, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 195, 197, 199, 201, 202, 203, 205, 208, 209, 213, 310, 312, 313, 314, 315, 316, 318, 319, 320, 321, 324, 380, 382, 386, 387, 390, 392, 396, 397, 398, 399, 401, 402, 406, 409, 411, 412, 417, 418, 425, 426, 429, 434, 435], "you": [4, 410, 443], "need": [4, 138, 410, 433], "appropri": [4, 28, 29, 138, 179, 192, 194, 200, 206, 207, 210, 212, 329, 357, 360, 381, 443], "hardwar": 4, "work": [4, 31, 39, 73, 202, 327, 410, 443], "fine": 4, "laptop": 4, "graphic": 4, "In": [4, 28, 29, 162, 171, 174, 191, 211, 324, 329, 373, 384, 409], "major": [4, 34, 35, 36, 38, 39, 40, 83, 268, 280, 311, 378], "case": [4, 20, 28, 29, 32, 34, 35, 36, 38, 44, 62, 75, 78, 80, 89, 90, 98, 130, 131, 132, 133, 135, 136, 137, 145, 174, 177, 180, 181, 191, 199, 213, 313, 314, 315, 321, 322, 384, 413, 418, 429, 434, 435], "your": 4, "window": 4, "alreadi": [4, 35, 41, 42, 43], "ha": [4, 18, 30, 44, 46, 47, 48, 49, 85, 95, 105, 110, 132, 143, 147, 150, 175, 177, 192, 196, 211, 214, 215, 216, 324, 379, 380, 381, 383, 389, 403, 404, 405, 407, 408, 414, 430, 443], "all": [4, 6, 9, 15, 19, 33, 40, 44, 57, 68, 80, 83, 84, 85, 93, 94, 96, 98, 121, 122, 123, 130, 131, 133, 137, 143, 145, 162, 170, 173, 180, 191, 206, 207, 210, 212, 215, 268, 271, 277, 290, 322, 331, 388, 391, 401, 403, 432, 443], "necessari": [4, 20, 32, 34, 35, 36, 38, 41, 64, 137, 180, 191, 193, 196, 211, 214, 215, 216, 384, 405, 407, 430], "But": [4, 85], "want": [4, 410], "up": [4, 85, 123], "date": 4, "alwai": [4, 30, 34, 40, 83, 214, 216, 268, 311, 384, 405, 430], "updat": 4, "latest": [4, 129], "follow": [4, 44, 85, 95, 119, 146, 173, 413, 443, 447], "instruct": 4, "step": [4, 20, 137, 180, 191], "8": [4, 13, 15, 41, 53, 56, 64, 70, 75, 76, 80, 83, 85, 121, 137, 147, 151, 164, 172, 175, 177, 178, 180, 191, 208, 311, 320, 321, 323, 329, 353, 372, 379, 388, 392, 398, 409, 413, 417, 419, 422, 429, 433], "9": [4, 6, 13, 41, 56, 64, 70, 75, 76, 81, 83, 89, 99, 125, 133, 137, 172, 173, 174, 177, 191, 205, 282, 311, 323, 329, 331, 333, 353, 379, 388, 401, 406, 413, 419, 422, 425, 429, 433], "If": [4, 15, 20, 28, 29, 30, 32, 34, 35, 36, 37, 38, 40, 44, 56, 58, 70, 75, 80, 82, 83, 85, 95, 98, 119, 121, 134, 137, 143, 147, 148, 149, 162, 169, 170, 171, 172, 173, 174, 177, 179, 180, 181, 191, 192, 194, 196, 198, 200, 206, 207, 210, 211, 212, 214, 215, 216, 268, 299, 301, 325, 329, 351, 373, 379, 380, 381, 384, 388, 391, 393, 400, 401, 403, 404, 405, 407, 408, 410, 413, 414, 416, 429, 430, 431, 432, 443], "yet": [4, 6], "easiest": 4, "It": [4, 28, 29, 56, 82, 192, 193, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 381, 405, 407, 430], "essenti": 4, "machin": [4, 119, 146], "optim": [4, 88], "includ": [4, 20, 28, 29, 32, 34, 35, 36, 37, 38, 44, 62, 75, 78, 135, 136, 137, 138, 173, 180, 191, 192, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 322, 329, 373, 381, 405, 407, 429, 430], "anoth": [4, 64, 83, 129, 273, 292, 324, 389], "vendor": 4, "too": [4, 433], "manual": [4, 85, 414], "shown": 4, "next": [4, 119], "section": [4, 85, 443], "recommend": [4, 311, 414], "us": [4, 13, 20, 32, 34, 35, 36, 37, 38, 39, 40, 46, 47, 48, 49, 52, 56, 58, 62, 70, 75, 76, 78, 81, 83, 85, 89, 90, 91, 95, 98, 124, 125, 130, 131, 132, 133, 134, 135, 136, 137, 138, 140, 141, 145, 147, 148, 149, 150, 159, 160, 161, 162, 170, 171, 172, 173, 180, 181, 187, 189, 191, 193, 196, 198, 199, 205, 211, 214, 216, 223, 268, 273, 310, 311, 312, 313, 314, 315, 319, 320, 325, 329, 332, 334, 335, 345, 350, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 370, 373, 378, 379, 382, 383, 384, 386, 388, 393, 405, 406, 407, 409, 410, 413, 414, 417, 418, 423, 425, 429, 430, 433, 434, 435, 443], "org": 4, "channel": 4, "command": 4, "forg": 4, "pip": 4, "http": [4, 129], "pypi": 4, "simpl": [4, 190, 447], "These": [4, 85, 95, 204, 443, 447], "its": [4, 6, 15, 30, 31, 44, 59, 60, 75, 83, 100, 106, 119, 144, 145, 166, 167, 171, 173, 179, 196, 211, 214, 216, 308, 366, 378, 381, 384, 390, 400, 405, 416, 418, 430, 443], "depend": [4, 166, 174, 177, 180, 394, 433], "control": [4, 40, 52, 58, 64, 83, 143, 193, 268, 391, 404, 432], "requir": [4, 6, 32, 36, 38, 40, 83, 85, 148, 268], "compil": [4, 85, 138], "runtim": 4, "onemkl": 4, "befor": [4, 30, 58, 83, 122, 123, 179, 192, 214, 215, 216, 290, 301, 381, 388, 389, 400, 405, 407, 414, 430, 431], "strongli": [4, 414], "advis": 4, "version": [4, 83, 85, 279, 311], "activ": 4, "local": 4, "environ": 4, "env": 4, "And": [4, 39, 40, 76, 83, 268], "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, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 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, 195, 196, 197, 198, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 310, 311, 312, 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, 386, 387, 388, 389, 390, 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, 422, 423, 424, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435], "recip": 4, "finanli": 4, "setuptool": 4, "o": [4, 85], "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, 83, 85, 89, 90, 98, 135, 136, 145, 304, 314, 315, 329, 418, 434, 435], "dcmake_c_compil": 4, "path": [4, 131, 181], "icx": 4, "dcmake_cxx_compil": 4, "icpx": 4, "script": 4, "build_loc": 4, "scope": 4, "suit": 4, "element": [4, 11, 12, 13, 14, 15, 18, 19, 21, 22, 23, 24, 25, 26, 27, 30, 31, 33, 44, 45, 46, 47, 48, 49, 53, 54, 56, 59, 60, 63, 64, 66, 67, 71, 72, 80, 81, 83, 85, 86, 91, 93, 94, 96, 97, 98, 99, 121, 122, 123, 124, 125, 126, 127, 128, 134, 140, 141, 144, 145, 147, 148, 150, 151, 152, 153, 154, 159, 160, 161, 162, 169, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 198, 200, 201, 202, 203, 205, 208, 209, 210, 212, 213, 214, 215, 216, 263, 264, 271, 272, 274, 276, 277, 280, 282, 283, 285, 287, 289, 290, 295, 296, 297, 298, 300, 303, 304, 307, 309, 310, 311, 312, 318, 319, 320, 321, 322, 324, 326, 378, 379, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 405, 406, 407, 409, 411, 412, 413, 414, 419, 422, 425, 426, 427, 430, 433, 443, 447], "asarrai": [4, 6, 34, 36, 38, 39], "same": [4, 13, 15, 26, 30, 31, 33, 36, 38, 39, 40, 44, 46, 48, 49, 51, 57, 58, 63, 73, 80, 81, 82, 83, 84, 90, 91, 95, 97, 125, 126, 127, 128, 129, 136, 140, 141, 143, 144, 149, 158, 159, 160, 161, 169, 174, 186, 187, 188, 189, 190, 194, 195, 196, 200, 201, 202, 205, 210, 211, 212, 214, 215, 216, 268, 296, 308, 312, 315, 316, 320, 324, 325, 327, 329, 351, 357, 373, 378, 380, 382, 383, 386, 388, 389, 391, 393, 400, 401, 402, 403, 404, 405, 406, 407, 410, 413, 419, 421, 422, 424, 425, 430, 431, 432, 435], "shape": [4, 6, 28, 29, 32, 33, 36, 40, 43, 44, 50, 51, 53, 56, 58, 63, 65, 69, 76, 80, 82, 83, 84, 85, 89, 90, 94, 95, 97, 121, 132, 135, 136, 143, 148, 149, 158, 164, 168, 169, 170, 171, 174, 175, 176, 177, 178, 179, 187, 188, 189, 190, 192, 193, 194, 196, 198, 199, 200, 204, 206, 207, 210, 211, 212, 214, 215, 216, 268, 296, 302, 308, 313, 314, 315, 324, 325, 329, 338, 341, 346, 347, 352, 356, 357, 358, 359, 360, 361, 362, 364, 369, 370, 376, 378, 380, 381, 383, 384, 388, 389, 391, 392, 393, 400, 401, 402, 403, 404, 405, 407, 409, 413, 414, 416, 418, 419, 422, 423, 430, 432, 433, 434, 435, 436, 447], "expect": [4, 18, 53, 63, 82, 85, 94, 192, 196, 211, 214, 215, 216, 380, 381, 392, 405, 407, 430], "comput": [4, 26, 31, 44, 46, 47, 48, 49, 54, 80, 95, 99, 100, 101, 102, 103, 105, 106, 107, 108, 110, 111, 112, 113, 114, 115, 116, 117, 124, 125, 142, 148, 150, 163, 164, 165, 167, 168, 171, 172, 173, 174, 175, 177, 178, 179, 187, 188, 189, 190, 192, 193, 194, 196, 197, 200, 202, 210, 211, 212, 214, 215, 216, 381, 382, 387, 390, 392, 405, 407, 412, 413, 426, 430], "empti": [4, 6, 32, 83, 90, 131, 135, 136, 215, 277, 314, 315, 434, 435], "try": 4, "except": [4, 15, 20, 30, 32, 34, 35, 36, 38, 50, 51, 56, 58, 62, 68, 80, 82, 83, 89, 90, 98, 100, 106, 114, 130, 131, 132, 133, 134, 135, 136, 143, 145, 171, 181, 193, 194, 196, 200, 210, 211, 212, 214, 215, 216, 268, 299, 314, 315, 383, 384, 400, 405, 407, 430, 434, 435], "found": [4, 393, 443], "here": [6, 30, 85, 400], "correspond": [6, 20, 28, 29, 32, 34, 35, 36, 37, 38, 56, 58, 62, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 166, 180, 181, 191, 193, 199, 276, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 388, 395, 405, 413, 416, 418, 429, 430, 434, 435, 443], "column": [6, 34, 35, 36, 38, 39, 40, 57, 58, 83, 84, 98, 122, 123, 143, 145, 166, 171, 174, 177, 268, 280, 378, 391, 404, 418, 420, 423, 429, 432], "v1": 6, "23": [6, 329], "v0": 6, "15": [6, 28, 29, 72, 76, 173, 183, 353, 393], "0dev1": 6, "g5f99f4ef35": 6, "v9": 6, "397": 6, "233": 6, "299": 6, "56": 6, "37": [6, 390], "47": 6, "20": [6, 148, 158, 159, 172, 325, 331, 346, 393, 410], "18": [6, 85, 86, 191], "16": [6, 46, 76, 85, 133, 137, 139, 205, 320, 411], "51": 6, "48": [6, 70, 208], "49": 6, "total": [6, 68, 83, 287, 405, 430], "542": 6, "354": 6, "429": 6, "ab": [6, 12], "absolut": [6, 11, 18, 99, 175, 214, 216, 322, 405, 430], "add": [6, 85], "add_docstr": 6, "add_newdoc": 6, "add_newdoc_ufunc": 6, "allclos": [6, 33, 151, 168, 173, 174, 176, 177, 179], "alltru": 6, "amax": [6, 194], "amin": [6, 200], "angl": [6, 25, 26, 73, 74, 327, 328, 428], "apply_along_axi": 6, "apply_over_ax": 6, "arcco": [6, 22, 23, 25, 26, 66], "arccosh": [6, 21, 24, 27, 67], "arcsin": [6, 21, 24, 25, 26, 398], "arcsinh": [6, 22, 23, 27, 399], "arctan": [6, 18, 21, 23, 26, 27, 411], "arctan2": [6, 18, 25], "arctanh": [6, 22, 24, 25, 26, 412], "argmin": [6, 28, 83, 207, 410, 443], "argpartit": [6, 30, 443], "argsort": [6, 83, 393, 400, 410, 416, 443], "argwher": 6, "around": [6, 83, 137, 297, 324, 390], "array2str": 6, "array_equ": 6, "array_equiv": [6, 33], "array_repr": 6, "array_split": [6, 58], "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, 42, 43, 95], "atleast_2d": [6, 41, 43, 95], "atleast_3d": [6, 41, 42, 95], "averag": [6, 83, 196, 211, 285, 407, 447], "bartlett": 6, "base_repr": 6, "binary_repr": 6, "bincount": 6, "bitwise_and": [6, 47, 48, 49, 150, 187], "bitwise_not": 6, "bitwise_or": [6, 46, 47, 49, 150, 189], "bitwise_xor": [6, 46, 47, 48, 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35, 36, 38, 40, 44, 57, 62, 68, 69, 71, 72, 80, 82, 83, 84, 85, 86, 89, 90, 118, 121, 126, 127, 135, 136, 137, 139, 144, 168, 180, 191, 194, 195, 198, 200, 201, 208, 209, 210, 212, 213, 214, 215, 216, 265, 266, 268, 274, 286, 291, 292, 297, 303, 305, 309, 311, 314, 315, 321, 323, 324, 329, 334, 356, 373, 381, 383, 387, 388, 389, 390, 391, 393, 405, 407, 413, 414, 417, 418, 430, 432, 434, 435, 443], "evalu": [14, 15, 19, 83, 87, 88, 91, 179, 198, 263, 264, 316, 413], "logic": [14, 19, 187, 189, 190, 436, 447], "AND": [14, 46, 47, 48, 49, 150, 187, 188, 189, 190], "reduct": [14, 19], "method": [14, 16, 17, 19, 30, 40, 62, 82, 83, 85, 120, 129, 131, 170, 173, 177, 268, 273, 296, 311, 329, 384, 395, 407, 416, 436], "Not": [14, 19, 152, 208, 210, 212, 213, 215, 321], "number": [14, 18, 19, 20, 31, 44, 45, 50, 51, 59, 60, 68, 78, 80, 83, 85, 95, 98, 119, 124, 125, 130, 131, 133, 134, 137, 145, 146, 152, 163, 170, 174, 175, 177, 178, 179, 180, 191, 208, 210, 212, 213, 214, 215, 216, 288, 297, 299, 300, 311, 321, 322, 329, 331, 341, 365, 382, 383, 387, 388, 389, 390, 396, 397, 405, 408, 414, 416, 418, 426, 429, 430, 447], "becaus": [14, 19], "x3": [14, 19], "rtol": [15, 151], "1e": [15, 96, 151, 173, 183, 184, 186, 347], "05": [15, 151], "atol": [15, 151], "08": [15, 66, 151, 347, 398], "two": [15, 33, 41, 42, 46, 47, 48, 49, 61, 65, 70, 78, 80, 82, 83, 85, 87, 88, 95, 149, 150, 151, 158, 166, 171, 176, 187, 189, 190, 193, 194, 195, 200, 201, 204, 210, 212, 290, 306, 316, 329, 358, 408, 413, 420, 423, 431], "within": [15, 20, 33, 40, 83, 151, 268, 324, 329, 373], "toler": [15, 33, 151], "A": [15, 20, 32, 34, 35, 36, 37, 38, 39, 40, 50, 51, 53, 56, 57, 62, 63, 64, 75, 78, 83, 85, 89, 90, 94, 95, 98, 121, 122, 123, 129, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 162, 167, 170, 171, 174, 175, 180, 181, 191, 193, 199, 213, 215, 268, 273, 280, 299, 311, 313, 314, 315, 321, 329, 331, 348, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 378, 380, 383, 392, 397, 408, 413, 414, 416, 418, 429, 434, 435], "boolean": [15, 46, 48, 49, 64, 85, 148, 151, 152, 153, 154, 187, 188, 189, 190, 192, 196, 211, 213, 214, 215, 216, 311, 381, 384, 397, 405, 407, 409, 430], "dim": 15, "typeerror": [15, 44, 64, 68, 100, 106, 114], "rais": [15, 20, 30, 32, 34, 35, 36, 38, 50, 51, 55, 56, 62, 64, 68, 82, 83, 89, 90, 94, 98, 100, 106, 114, 130, 131, 132, 133, 134, 135, 136, 145, 169, 171, 181, 192, 193, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 268, 269, 299, 314, 315, 320, 381, 384, 400, 402, 403, 405, 407, 430, 434, 435], "integ": [15, 20, 31, 44, 46, 47, 48, 49, 51, 83, 85, 124, 125, 146, 150, 151, 159, 169, 172, 178, 192, 194, 196, 200, 210, 211, 212, 214, 215, 216, 301, 320, 324, 329, 357, 360, 365, 381, 382, 384, 386, 387, 390, 393, 402, 405, 407, 409, 413, 426, 430, 443], "1e10": [15, 151], "00001e10": [15, 151], "initi": [16, 17, 83, 89, 134, 194, 200, 210, 212, 213, 215, 284, 286, 291, 305, 321, 329, 407], "alia": [16, 17, 81, 119, 217, 329, 359, 362, 364, 391, 425, 432], "z": [18, 20, 32, 34, 35, 36, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 135, 136, 137, 145, 180, 181, 191, 198, 199, 313, 314, 315, 339, 418, 429, 434, 435], "deg": [18, 328], "point": [18, 20, 25, 34, 35, 44, 63, 85, 89, 90, 98, 119, 130, 131, 132, 134, 135, 136, 145, 169, 180, 181, 192, 196, 211, 214, 215, 216, 314, 315, 329, 358, 370, 380, 381, 393, 405, 407, 418, 430, 434, 435, 447], "option": [18, 20, 28, 29, 30, 32, 34, 35, 36, 37, 38, 40, 44, 52, 53, 56, 58, 62, 63, 64, 70, 75, 78, 80, 82, 83, 85, 89, 90, 94, 98, 121, 130, 131, 132, 133, 134, 135, 136, 137, 143, 145, 148, 162, 170, 171, 172, 173, 174, 177, 178, 179, 180, 181, 191, 192, 193, 194, 196, 198, 199, 200, 206, 207, 210, 211, 212, 214, 215, 216, 268, 280, 308, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 378, 380, 381, 383, 384, 388, 389, 391, 392, 393, 400, 403, 404, 405, 407, 409, 416, 418, 419, 420, 421, 422, 423, 424, 429, 430, 432, 433, 434, 435], "counterclockwis": 18, "plane": 18, "determin": [18, 131, 132, 134, 157, 164, 174, 175, 187, 189, 190, 193], "promot": [18, 20, 32, 34, 35, 36, 38, 52, 137, 180, 191, 193, 385, 414], "rule": [18, 20, 32, 34, 35, 36, 38, 44, 52, 64, 70, 137, 180, 191, 192, 193, 196, 211, 214, 215, 216, 381, 385, 405, 407, 417, 430], "although": [18, 85, 414], "undefin": [18, 83, 290], "arc": [18, 25, 26], "tangent": [18, 21, 22, 23, 24, 25, 26, 27, 66, 67, 398, 399, 411, 412], "quadrant": [18, 25, 26], "correctli": [18, 25, 26, 172, 311], "trigonometr": [18, 21, 22, 23, 24, 25, 26, 27, 66, 67, 398, 399, 411, 412, 447], "invers": [18, 21, 22, 23, 24, 25, 26, 27, 47, 66, 67, 94, 95, 96, 106, 107, 108, 109, 110, 111, 112, 113, 150, 168, 173, 178, 179, 182, 184, 375, 398, 399, 411, 412], "0j": [18, 82, 83, 193, 281, 294, 396], "57079633": [18, 26, 328, 428], "78539816": [18, 25, 26, 428], "mai": [18, 40, 52, 56, 58, 64, 83, 85, 95, 143, 166, 172, 174, 191, 193, 211, 214, 216, 268, 325, 391, 404, 414, 432, 443], "vari": [18, 132, 148, 166, 172, 211, 214, 216], "90": [18, 74, 433], "45": [18, 26], "OR": [19, 46, 47, 48, 49, 150, 187, 188, 189, 190], "stop": [20, 137, 180, 191], "like": [20, 32, 34, 35, 36, 38, 40, 41, 42, 43, 57, 83, 84, 89, 98, 130, 131, 132, 133, 134, 135, 137, 145, 180, 181, 191, 268, 314, 329, 373, 384, 434, 447], "usm_typ": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 418, 429, 434, 435], "sycl_queu": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "evenli": [20, 137, 180, 191, 387, 390], "interv": [20, 95, 137, 180, 191, 329, 357, 359, 361, 362, 364, 372, 373, 408], "end": [20, 85, 137, 180, 191], "doe": [20, 52, 174], "some": [20, 85, 95, 97, 124, 149, 433, 443], "off": 20, "affect": 20, "length": [20, 44, 80, 83, 91, 134, 137, 143, 177, 191, 198, 299, 332, 384, 385, 391, 393, 395, 403, 413, 414, 432], "between": [20, 52, 80, 86, 119, 131, 134, 149, 167, 180, 191, 346, 360, 428], "specifi": [20, 30, 32, 34, 35, 36, 38, 44, 51, 52, 58, 62, 75, 78, 79, 83, 89, 90, 98, 121, 130, 131, 132, 133, 135, 136, 137, 145, 172, 178, 179, 180, 181, 191, 192, 196, 197, 199, 211, 213, 214, 215, 216, 267, 275, 313, 314, 315, 321, 329, 342, 352, 370, 378, 381, 388, 389, 404, 405, 407, 413, 416, 418, 429, 430, 434, 435], "must": [20, 28, 29, 44, 51, 53, 56, 57, 58, 63, 80, 82, 84, 94, 95, 97, 122, 131, 134, 143, 162, 171, 172, 178, 179, 181, 192, 193, 194, 196, 200, 204, 206, 207, 210, 211, 212, 214, 215, 216, 324, 325, 380, 381, 388, 391, 392, 393, 404, 405, 407, 408, 410, 413, 416, 430, 432], "desir": [20, 32, 34, 35, 36, 38, 39, 51, 89, 90, 98, 135, 136, 137, 145, 180, 191, 314, 315, 389, 414, 418, 434, 435], "repres": [20, 32, 34, 35, 36, 37, 38, 44, 83, 85, 129, 132, 137, 148, 175, 180, 191, 198, 216, 299, 329, 443], "consid": [20, 32, 34, 35, 36, 38, 88, 137, 152, 170, 180, 191, 193, 329, 357], "capabl": [20, 32, 34, 35, 36, 38, 44, 137, 180, 191, 193], "when": [20, 32, 34, 35, 36, 38, 39, 40, 44, 62, 64, 83, 85, 137, 172, 174, 180, 191, 193, 210, 212, 268, 389, 409, 413, 433], "string": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 85, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435, 443], "sycldevic": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "syclqueu": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "concept": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435, 443], "output": [20, 30, 32, 34, 35, 36, 37, 38, 53, 56, 62, 63, 75, 78, 80, 82, 85, 89, 90, 91, 94, 98, 130, 131, 132, 133, 134, 135, 136, 137, 140, 141, 145, 147, 148, 160, 161, 171, 180, 181, 191, 193, 196, 198, 199, 207, 211, 214, 215, 216, 259, 312, 313, 314, 315, 329, 330, 331, 333, 336, 337, 338, 339, 340, 341, 342, 343, 344, 348, 351, 352, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 379, 380, 383, 392, 400, 403, 405, 407, 414, 418, 429, 430, 434, 435, 447], "oneapi": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "filter": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "selector": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "non": [20, 28, 29, 32, 34, 35, 36, 37, 38, 44, 45, 62, 68, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 152, 166, 180, 181, 191, 194, 199, 200, 206, 207, 210, 212, 214, 216, 289, 311, 313, 314, 315, 320, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 401, 413, 418, 429, 433, 434, 435], "object": [20, 32, 34, 35, 36, 37, 38, 39, 62, 75, 78, 83, 85, 89, 90, 95, 98, 119, 120, 129, 130, 131, 132, 133, 134, 135, 136, 137, 145, 146, 148, 166, 172, 180, 181, 191, 199, 296, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 384, 418, 429, 434, 435, 443], "dpnp_arrai": [20, 32, 34, 35, 36, 38, 62, 75, 78, 89, 90, 98, 119, 129, 130, 131, 132, 133, 134, 135, 136, 137, 145, 146, 148, 180, 181, 191, 199, 217, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 419, 422, 429, 434, 435, 436], "properti": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 174, 180, 181, 191, 199, 218, 276, 278, 279, 281, 283, 287, 288, 294, 299, 300, 304, 308, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435, 443], "share": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 418, 429, 434, 435], "usm": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 370, 373, 403, 418, 429, 434, 435], "queue": [20, 32, 34, 35, 36, 37, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 137, 145, 148, 180, 181, 191, 199, 313, 314, 315, 329, 351, 356, 357, 358, 359, 360, 361, 362, 364, 365, 370, 373, 418, 429, 434, 435], "notimplementederror": [20, 30, 32, 34, 35, 36, 38, 50, 51, 56, 62, 83, 89, 90, 98, 130, 131, 132, 133, 134, 135, 136, 145, 181, 193, 194, 196, 200, 210, 211, 212, 214, 215, 216, 268, 314, 315, 400, 405, 407, 430, 434, 435], "care": 20, "handl": [20, 85, 181, 311, 409, 447], "endpoint": [20, 137, 180, 191], "level_zero": [20, 32, 34, 35, 36, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 135, 136, 137, 145, 180, 181, 191, 199, 313, 314, 315, 418, 429, 434, 435], "opencl": [20, 32, 34, 35, 36, 38, 62, 75, 78, 89, 90, 98, 130, 131, 132, 133, 135, 136, 137, 145, 180, 181, 191, 199, 313, 314, 315, 418, 429, 434, 435], "cosin": [21, 22, 23, 24, 25, 26, 27, 66, 67, 398, 399, 411, 412], "sine": [21, 22, 23, 24, 25, 26, 27, 66, 67, 398, 399, 411, 412], "hyperbol": [21, 22, 23, 24, 25, 26, 27, 66, 67, 398, 399, 411, 412, 447], "14159265": [21, 26], "65745445": 22, "99322285": 22, "5707963267948966": 23, "72538256": 24, "99822295": 24, "180": 26, "135": 26, "54930614": 27, "search": [28, 29, 206, 207, 436, 447], "index": [28, 29, 30, 55, 83, 85, 98, 148, 198, 206, 207, 269, 304, 311, 324, 325, 378, 384, 393, 409, 410, 433, 436, 447], "should": [28, 29, 40, 82, 83, 131, 138, 151, 169, 192, 193, 194, 200, 204, 206, 207, 210, 212, 268, 298, 346, 381, 384, 393, 413, 443], "reduc": [28, 29, 44, 174, 177, 192, 194, 196, 198, 200, 206, 207, 210, 211, 212, 214, 215, 216, 381, 405, 407, 430], "ax": [28, 29, 44, 80, 82, 83, 95, 101, 103, 104, 107, 108, 109, 112, 113, 115, 117, 121, 149, 172, 176, 178, 179, 192, 193, 194, 196, 200, 204, 206, 207, 210, 211, 212, 214, 215, 216, 299, 306, 308, 381, 388, 389, 403, 405, 407, 408, 413, 414, 416, 430], "dimens": [28, 29, 32, 41, 42, 43, 44, 57, 58, 64, 69, 70, 76, 80, 83, 85, 95, 122, 123, 143, 148, 149, 170, 172, 174, 192, 194, 196, 198, 199, 200, 204, 206, 207, 210, 211, 212, 214, 215, 216, 280, 288, 299, 311, 313, 325, 329, 359, 361, 362, 364, 381, 384, 395, 403, 404, 405, 407, 408, 410, 414, 420, 421, 423, 424, 430, 443, 447], "singleton": [28, 29, 44, 95, 192, 194, 196, 200, 206, 207, 210, 211, 212, 214, 215, 216, 381, 403, 405, 407, 430], "accordingli": [28, 29, 194, 200, 206, 207, 210, 212], "first": [28, 29, 30, 44, 57, 58, 63, 70, 82, 85, 94, 121, 149, 156, 157, 158, 171, 178, 181, 193, 194, 198, 200, 206, 207, 320, 378, 384, 388, 391, 393, 400, 402, 408, 410, 413, 431, 432], "occurr": [28, 29, 45, 206, 207], "igonr": [28, 29, 206, 207], "convert": [28, 29, 32, 34, 35, 36, 37, 38, 39, 41, 42, 43, 62, 73, 74, 75, 78, 85, 95, 135, 136, 137, 180, 191, 327, 328, 428, 429], "flat": [28, 29, 83, 120, 280, 383], "tupl": [28, 29, 32, 34, 35, 36, 38, 44, 51, 62, 75, 76, 78, 83, 85, 95, 121, 132, 135, 136, 137, 148, 158, 172, 174, 179, 180, 191, 192, 193, 194, 196, 198, 199, 200, 210, 211, 212, 214, 215, 216, 299, 308, 311, 313, 381, 384, 388, 395, 403, 405, 407, 414, 416, 420, 423, 429, 430, 443], "appli": [28, 29, 30, 44, 52, 187, 189, 190, 385, 413], "index_arrai": [28, 29, 30], "call": [28, 29, 30, 36, 38, 85, 132, 171, 223, 311, 403, 414], "multipl": [28, 29, 30, 44, 58, 70, 85, 143, 166, 167, 168, 171, 192, 194, 196, 200, 210, 211, 212, 214, 215, 216, 381, 391, 400, 404, 405, 407, 430, 432, 436], "11": [28, 29, 44, 67, 76, 83, 139, 172, 296, 348, 357, 390, 393, 399, 419, 422, 433], "12": [28, 29, 43, 70, 76, 85, 147, 191, 321, 323, 353, 393, 419, 422, 433], "13": [28, 29, 47, 76, 82, 85, 150, 193, 209, 393], "14": [28, 29, 46, 47, 76, 82, 149, 150, 393, 413], "24": [28, 29, 70, 71, 86, 149, 158, 178, 321, 413], "re": [28, 29, 45, 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"dpnp.ndarray.__eq__": [[224, "dpnp-ndarray-eq"]], "dpnp.ndarray.__float__": [[225, "dpnp-ndarray-float"]], "dpnp.ndarray.__floordiv__": [[226, "dpnp-ndarray-floordiv"]], "dpnp.ndarray.__ge__": [[227, "dpnp-ndarray-ge"]], "dpnp.ndarray.__getitem__": [[228, "dpnp-ndarray-getitem"]], "dpnp.ndarray.__gt__": [[229, "dpnp-ndarray-gt"]], "dpnp.ndarray.__iadd__": [[230, "dpnp-ndarray-iadd"]], "dpnp.ndarray.__iand__": [[231, "dpnp-ndarray-iand"]], "dpnp.ndarray.__ifloordiv__": [[232, "dpnp-ndarray-ifloordiv"]], "dpnp.ndarray.__ilshift__": [[233, "dpnp-ndarray-ilshift"]], "dpnp.ndarray.__imod__": [[234, "dpnp-ndarray-imod"]], "dpnp.ndarray.__imul__": [[235, "dpnp-ndarray-imul"]], "dpnp.ndarray.__int__": [[236, "dpnp-ndarray-int"]], "dpnp.ndarray.__invert__": [[237, "dpnp-ndarray-invert"]], "dpnp.ndarray.__ior__": [[238, "dpnp-ndarray-ior"]], "dpnp.ndarray.__ipow__": [[239, "dpnp-ndarray-ipow"]], "dpnp.ndarray.__irshift__": [[240, "dpnp-ndarray-irshift"]], "dpnp.ndarray.__isub__": [[241, 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"dpnp.random.poisson": [[354, "dpnp-random-poisson"]], "dpnp.random.power": [[355, "dpnp-random-power"]], "dpnp.random.rand": [[356, "dpnp-random-rand"]], "dpnp.random.randint": [[357, "dpnp-random-randint"]], "dpnp.random.randn": [[358, "dpnp-random-randn"]], "dpnp.random.random": [[359, "dpnp-random-random"]], "dpnp.random.random_integers": [[360, "dpnp-random-random-integers"]], "dpnp.random.random_sample": [[361, "dpnp-random-random-sample"]], "dpnp.random.ranf": [[362, "dpnp-random-ranf"]], "dpnp.random.rayleigh": [[363, "dpnp-random-rayleigh"]], "dpnp.random.sample": [[364, "dpnp-random-sample"]], "dpnp.random.seed": [[365, "dpnp-random-seed"]], "dpnp.random.shuffle": [[366, "dpnp-random-shuffle"]], "dpnp.random.standard_cauchy": [[367, "dpnp-random-standard-cauchy"]], "dpnp.random.standard_exponential": [[368, "dpnp-random-standard-exponential"]], "dpnp.random.standard_gamma": [[369, "dpnp-random-standard-gamma"]], "dpnp.random.standard_normal": [[370, 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"indexing-like-operations"]], "Inserting data into arrays": [[437, "inserting-data-into-arrays"]], "Iterating over arrays": [[437, "iterating-over-arrays"]], "Matrix and vector products": [[438, "matrix-and-vector-products"]], "Decompositions": [[438, "decompositions"]], "Matrix eigenvalues": [[438, "matrix-eigenvalues"]], "Norms and other numbers": [[438, "norms-and-other-numbers"]], "Solving linear equations": [[438, "solving-linear-equations"]], "Logic Functions": [[439, "logic-functions"]], "Truth value testing": [[439, "truth-value-testing"]], "Infinities and NaNs": [[439, "infinities-and-nans"]], "Array type testing": [[439, "array-type-testing"]], "Logic operations": [[439, "logic-operations"]], "Comparison": [[439, "comparison"]], "Array Manipulation Routines": [[440, "array-manipulation-routines"]], "Basic operations": [[440, "basic-operations"]], "Changing array shape": [[440, "changing-array-shape"]], "Transpose-like operations": [[440, "transpose-like-operations"]], "Changing number of dimensions": [[440, "changing-number-of-dimensions"]], "Changing kind of array": [[440, "changing-kind-of-array"]], "Joining arrays": [[440, "joining-arrays"]], "Splitting arrays": [[440, "splitting-arrays"]], "Tiling arrays": [[440, "tiling-arrays"]], "Adding and removing elements": [[440, "adding-and-removing-elements"]], "Rearranging elements": [[440, "rearranging-elements"]], "Mathematical Functions": [[441, "mathematical-functions"]], "Trigonometric functions": [[441, "trigonometric-functions"], [451, "trigonometric-functions"]], "Hyperbolic functions": [[441, "hyperbolic-functions"]], "Rounding": [[441, "rounding"]], "Sums, products, differences": [[441, "sums-products-differences"]], "Exponents and logarithms": [[441, "exponents-and-logarithms"]], "Other special functions": [[441, "other-special-functions"]], "Floating point routines": [[441, "floating-point-routines"]], "Rational routines": [[441, "rational-routines"]], "Arithmetic operations": [[441, "arithmetic-operations"]], "Handling complex numbers": [[441, "handling-complex-numbers"]], "Extrema Finding": [[441, "extrema-finding"]], "Miscellaneous routines": [[442, "miscellaneous-routines"]], "Utility": [[442, "utility"]], "Multi-Dimensional Array (ndarray)": [[443, "multi-dimensional-array-ndarray"]], "Constructing arrays": [[443, "constructing-arrays"]], "Indexing arrays": [[443, "indexing-arrays"]], "Array attributes": [[443, "array-attributes"]], "Memory layout": [[443, "memory-layout"]], "Data type": [[443, "data-type"]], "Other attributes": [[443, "other-attributes"]], "Array methods": [[443, "array-methods"]], "Array conversion": [[443, "array-conversion"]], "Shape manipulation": [[443, "shape-manipulation"]], "Item selection and manipulation": [[443, "item-selection-and-manipulation"]], "Calculation": [[443, "calculation"]], "Arithmetic, matrix multiplication, and comparison operations": [[443, "arithmetic-matrix-multiplication-and-comparison-operations"]], "Special methods": [[443, "special-methods"]], "Padding": [[444, "padding"]], "Polynomials": [[445, "polynomials"]], "Polynomial Package": [[445, "polynomial-package"]], "Polynomial Module": [[445, "polynomial-module"]], "Polyutils": [[445, "polyutils"]], "Poly1d": [[445, "poly1d"]], "Basics": [[445, "basics"]], "Arithmetic": [[445, "arithmetic"]], "Random Sampling (dpnp.random)": [[446, "random-sampling-dpnp-random"]], "Simple random data": [[446, "simple-random-data"]], "Permutations": [[446, "permutations"]], "Distributions": [[446, "distributions"]], "Random generator": [[446, "random-generator"]], "Routines": [[447, "routines"]], "Sorting, Searching, and Counting": [[448, "sorting-searching-and-counting"]], "Sorting": [[448, "sorting"]], "Searching": [[448, "searching"]], "Counting": [[448, "counting"]], "Special Functions": [[449, "special-functions"]], "Error Function": [[449, "error-function"]], "Statistical Functions": [[450, "statistical-functions"]], "Order statistics": [[450, "order-statistics"]], "Averages and variances": [[450, "averages-and-variances"]], "Histograms": [[450, "histograms"]], "Correlations": [[450, "correlations"]], "Universal Functions (ufunc)": [[451, "universal-functions-ufunc"]], "Available ufuncs": [[451, "available-ufuncs"]], "Math operations": [[451, "math-operations"]], "Bit-twiddling functions": [[451, "bit-twiddling-functions"]], "Comparison functions": [[451, "comparison-functions"]], "Floating functions": [[451, "floating-functions"]]}, "indexentries": {"dpnp": [[2, "module-dpnp"], [3, "module-dpnp"]], "module": [[2, "module-dpnp"], [3, "module-dpnp"], [10, "module-dpnp.fft"], [446, "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, 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"hasobject (dpnp.dtype attribute)": [[85, "dpnp.dtype.hasobject"]], "isalignedstruct (dpnp.dtype attribute)": [[85, "dpnp.dtype.isalignedstruct"]], "isbuiltin (dpnp.dtype attribute)": [[85, "dpnp.dtype.isbuiltin"]], "isnative (dpnp.dtype attribute)": [[85, "dpnp.dtype.isnative"]], "itemsize (dpnp.dtype attribute)": [[85, "dpnp.dtype.itemsize"]], "kind (dpnp.dtype attribute)": [[85, "dpnp.dtype.kind"]], "metadata (dpnp.dtype attribute)": [[85, "dpnp.dtype.metadata"]], "name (dpnp.dtype attribute)": [[85, "dpnp.dtype.name"]], "names (dpnp.dtype attribute)": [[85, "dpnp.dtype.names"]], "ndim (dpnp.dtype attribute)": [[85, "dpnp.dtype.ndim"]], "newbyteorder() (dpnp.dtype method)": [[85, "dpnp.dtype.newbyteorder"]], "num (dpnp.dtype attribute)": [[85, "dpnp.dtype.num"]], "shape (dpnp.dtype attribute)": [[85, "dpnp.dtype.shape"]], "str (dpnp.dtype attribute)": [[85, "dpnp.dtype.str"]], "subdtype (dpnp.dtype attribute)": [[85, "dpnp.dtype.subdtype"]], "type (dpnp.dtype attribute)": [[85, 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module dpnp.fft)": [[104, "dpnp.fft.fftshift"]], "hfft() (in module dpnp.fft)": [[105, "dpnp.fft.hfft"]], "ifft() (in module dpnp.fft)": [[106, "dpnp.fft.ifft"]], "ifft2() (in module dpnp.fft)": [[107, "dpnp.fft.ifft2"]], "ifftn() (in module dpnp.fft)": [[108, "dpnp.fft.ifftn"]], "ifftshift() (in module dpnp.fft)": [[109, "dpnp.fft.ifftshift"]], "ihfft() (in module dpnp.fft)": [[110, "dpnp.fft.ihfft"]], "irfft() (in module dpnp.fft)": [[111, "dpnp.fft.irfft"]], "irfft2() (in module dpnp.fft)": [[112, "dpnp.fft.irfft2"]], "irfftn() (in module dpnp.fft)": [[113, "dpnp.fft.irfftn"]], "rfft() (in module dpnp.fft)": [[114, "dpnp.fft.rfft"]], "rfft2() (in module dpnp.fft)": [[115, "dpnp.fft.rfft2"]], "rfftfreq() (in module dpnp.fft)": [[116, "dpnp.fft.rfftfreq"]], "rfftn() (in module dpnp.fft)": [[117, "dpnp.fft.rfftn"]], "fill_diagonal() (in module dpnp)": [[118, "dpnp.fill_diagonal"]], "finfo() (in module dpnp)": [[119, "dpnp.finfo"]], "__eq__() (dpnp.flatiter method)": [[120, 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[[143, "dpnp.hstack"]], "hypot() (in module dpnp)": [[144, "dpnp.hypot"]], "identity() (in module dpnp)": [[145, "dpnp.identity"]], "iinfo() (in module dpnp)": [[146, "dpnp.iinfo"]], "imag() (in module dpnp)": [[147, "dpnp.imag"]], "indices() (in module dpnp)": [[148, "dpnp.indices"]], "inner() (in module dpnp)": [[149, "dpnp.inner"]], "invert() (in module dpnp)": [[150, "dpnp.invert"]], "isclose() (in module dpnp)": [[151, "dpnp.isclose"]], "isfinite() (in module dpnp)": [[152, "dpnp.isfinite"]], "isinf() (in module dpnp)": [[153, "dpnp.isinf"]], "isnan() (in module dpnp)": [[154, "dpnp.isnan"]], "isscalar() (in module dpnp)": [[155, "dpnp.isscalar"]], "issubdtype() (in module dpnp)": [[156, "dpnp.issubdtype"]], "issubsctype() (in module dpnp)": [[157, "dpnp.issubsctype"]], "kron() (in module dpnp)": [[158, "dpnp.kron"]], "left_shift() (in module dpnp)": [[159, "dpnp.left_shift"]], "less() (in module dpnp)": [[160, "dpnp.less"]], "less_equal() (in module dpnp)": [[161, "dpnp.less_equal"]], "cholesky() (in module dpnp.linalg)": [[162, "dpnp.linalg.cholesky"]], "cond() (in module dpnp.linalg)": [[163, "dpnp.linalg.cond"]], "det() (in module dpnp.linalg)": [[164, "dpnp.linalg.det"]], "eig() (in module dpnp.linalg)": [[165, "dpnp.linalg.eig"]], "eigh() (in module dpnp.linalg)": [[166, "dpnp.linalg.eigh"]], "eigvals() (in module dpnp.linalg)": [[167, "dpnp.linalg.eigvals"]], "inv() (in module dpnp.linalg)": [[168, "dpnp.linalg.inv"]], "matrix_power() (in module dpnp.linalg)": [[169, "dpnp.linalg.matrix_power"]], "matrix_rank() (in module dpnp.linalg)": [[170, "dpnp.linalg.matrix_rank"]], "multi_dot() (in module dpnp.linalg)": [[171, "dpnp.linalg.multi_dot"]], "norm() (in module dpnp.linalg)": [[172, "dpnp.linalg.norm"]], "pinv() (in module dpnp.linalg)": [[173, "dpnp.linalg.pinv"]], "qr() (in module dpnp.linalg)": [[174, "dpnp.linalg.qr"]], "slogdet() (in module dpnp.linalg)": [[175, "dpnp.linalg.slogdet"]], "solve() (in module dpnp.linalg)": [[176, "dpnp.linalg.solve"]], "svd() (in module dpnp.linalg)": [[177, "dpnp.linalg.svd"]], "tensorinv() (in module dpnp.linalg)": [[178, "dpnp.linalg.tensorinv"]], "tensorsolve() (in module dpnp.linalg)": [[179, "dpnp.linalg.tensorsolve"]], "linspace() (in module dpnp)": [[180, "dpnp.linspace"]], "loadtxt() (in module dpnp)": [[181, "dpnp.loadtxt"]], "log() (in module dpnp)": [[182, "dpnp.log"]], "log10() (in module dpnp)": [[183, "dpnp.log10"]], "log1p() (in module dpnp)": [[184, "dpnp.log1p"]], "log2() (in module dpnp)": [[185, "dpnp.log2"]], "logaddexp() (in module dpnp)": [[186, "dpnp.logaddexp"]], "logical_and() (in module dpnp)": [[187, "dpnp.logical_and"]], "logical_not() (in module dpnp)": [[188, "dpnp.logical_not"]], "logical_or() (in module dpnp)": [[189, "dpnp.logical_or"]], "logical_xor() (in module dpnp)": [[190, "dpnp.logical_xor"]], "logspace() (in module dpnp)": [[191, "dpnp.logspace"]], "logsumexp() (in module dpnp)": [[192, "dpnp.logsumexp"]], "matmul() (in module dpnp)": [[193, "dpnp.matmul"]], "max() (in module dpnp)": [[194, "dpnp.max"]], "maximum() (in module dpnp)": [[195, "dpnp.maximum"]], "mean() (in module dpnp)": [[196, "dpnp.mean"]], "median() (in module dpnp)": [[197, "dpnp.median"]], "meshgrid() (in module dpnp)": [[198, "dpnp.meshgrid"]], "mgrid (in module dpnp)": [[199, "dpnp.mgrid"]], "min() (in module dpnp)": [[200, "dpnp.min"]], "minimum() (in module dpnp)": [[201, "dpnp.minimum"]], "mod() (in module dpnp)": [[202, "dpnp.mod"]], "modf() (in module dpnp)": [[203, "dpnp.modf"]], "moveaxis() (in module dpnp)": [[204, "dpnp.moveaxis"]], "multiply() (in module dpnp)": [[205, "dpnp.multiply"]], "nanargmax() (in module dpnp)": [[206, "dpnp.nanargmax"]], "nanargmin() (in module dpnp)": [[207, "dpnp.nanargmin"]], "nancumprod() (in module dpnp)": [[208, "dpnp.nancumprod"]], "nancumsum() (in module dpnp)": [[209, "dpnp.nancumsum"]], "nanmax() (in module dpnp)": [[210, "dpnp.nanmax"]], "nanmean() (in module dpnp)": [[211, "dpnp.nanmean"]], "nanmin() (in module dpnp)": [[212, "dpnp.nanmin"]], "nanprod() (in module dpnp)": [[213, "dpnp.nanprod"]], "nanstd() (in module dpnp)": [[214, "dpnp.nanstd"]], "nansum() (in module dpnp)": [[215, "dpnp.nansum"]], "nanvar() (in module dpnp)": [[216, "dpnp.nanvar"]], "ndarray (in module dpnp)": [[217, "dpnp.ndarray"]], "t (dpnp.ndarray property)": [[218, "dpnp.ndarray.T"]], "__abs__() (dpnp.ndarray method)": [[219, "dpnp.ndarray.__abs__"]], "__add__() (dpnp.ndarray method)": [[220, "dpnp.ndarray.__add__"]], "__and__() (dpnp.ndarray method)": [[221, "dpnp.ndarray.__and__"]], "__complex__() (dpnp.ndarray method)": [[222, "dpnp.ndarray.__complex__"]], "__copy__() (dpnp.ndarray method)": [[223, "dpnp.ndarray.__copy__"]], "__eq__() (dpnp.ndarray method)": [[224, "dpnp.ndarray.__eq__"]], "__float__() (dpnp.ndarray method)": [[225, "dpnp.ndarray.__float__"]], "__floordiv__() (dpnp.ndarray method)": [[226, "dpnp.ndarray.__floordiv__"]], "__ge__() (dpnp.ndarray method)": [[227, "dpnp.ndarray.__ge__"]], "__getitem__() (dpnp.ndarray method)": [[228, "dpnp.ndarray.__getitem__"]], "__gt__() (dpnp.ndarray method)": [[229, "dpnp.ndarray.__gt__"]], "__iadd__() (dpnp.ndarray method)": [[230, "dpnp.ndarray.__iadd__"]], "__iand__() (dpnp.ndarray method)": [[231, "dpnp.ndarray.__iand__"]], "__ifloordiv__() (dpnp.ndarray method)": [[232, "dpnp.ndarray.__ifloordiv__"]], "__ilshift__() (dpnp.ndarray method)": [[233, "dpnp.ndarray.__ilshift__"]], "__imod__() (dpnp.ndarray method)": [[234, "dpnp.ndarray.__imod__"]], "__imul__() (dpnp.ndarray method)": [[235, "dpnp.ndarray.__imul__"]], "__int__() (dpnp.ndarray method)": [[236, "dpnp.ndarray.__int__"]], "__invert__() (dpnp.ndarray method)": [[237, "dpnp.ndarray.__invert__"]], "__ior__() (dpnp.ndarray method)": [[238, "dpnp.ndarray.__ior__"]], "__ipow__() (dpnp.ndarray method)": [[239, "dpnp.ndarray.__ipow__"]], "__irshift__() (dpnp.ndarray method)": [[240, "dpnp.ndarray.__irshift__"]], "__isub__() (dpnp.ndarray method)": [[241, "dpnp.ndarray.__isub__"]], "__itruediv__() (dpnp.ndarray method)": [[242, "dpnp.ndarray.__itruediv__"]], "__ixor__() (dpnp.ndarray method)": [[243, "dpnp.ndarray.__ixor__"]], "__le__() (dpnp.ndarray method)": [[244, "dpnp.ndarray.__le__"]], "__len__() (dpnp.ndarray method)": [[245, "dpnp.ndarray.__len__"]], "__lshift__() (dpnp.ndarray method)": [[246, "dpnp.ndarray.__lshift__"]], "__lt__() (dpnp.ndarray method)": [[247, "dpnp.ndarray.__lt__"]], "__mod__() (dpnp.ndarray method)": [[248, "dpnp.ndarray.__mod__"]], "__mul__() (dpnp.ndarray method)": [[249, "dpnp.ndarray.__mul__"]], "__ne__() (dpnp.ndarray method)": [[250, "dpnp.ndarray.__ne__"]], "__neg__() (dpnp.ndarray method)": [[251, "dpnp.ndarray.__neg__"]], "__new__() (dpnp.ndarray method)": [[252, "dpnp.ndarray.__new__"]], "__or__() (dpnp.ndarray method)": [[253, "dpnp.ndarray.__or__"]], "__pos__() (dpnp.ndarray method)": [[254, "dpnp.ndarray.__pos__"]], "__pow__() (dpnp.ndarray method)": [[255, "dpnp.ndarray.__pow__"]], "__repr__() (dpnp.ndarray method)": [[256, "dpnp.ndarray.__repr__"]], "__rshift__() (dpnp.ndarray method)": [[257, "dpnp.ndarray.__rshift__"]], "__setitem__() (dpnp.ndarray method)": [[258, "dpnp.ndarray.__setitem__"]], "__str__() (dpnp.ndarray method)": [[259, "dpnp.ndarray.__str__"]], "__sub__() (dpnp.ndarray method)": [[260, "dpnp.ndarray.__sub__"]], "__truediv__() (dpnp.ndarray method)": [[261, "dpnp.ndarray.__truediv__"]], "__xor__() (dpnp.ndarray method)": [[262, "dpnp.ndarray.__xor__"]], "all() (dpnp.ndarray method)": [[263, "dpnp.ndarray.all"]], "any() (dpnp.ndarray method)": [[264, "dpnp.ndarray.any"]], "argmax() (dpnp.ndarray method)": [[265, "dpnp.ndarray.argmax"]], "argmin() (dpnp.ndarray method)": [[266, "dpnp.ndarray.argmin"]], "argsort() (dpnp.ndarray method)": [[267, "dpnp.ndarray.argsort"]], "astype() (dpnp.ndarray method)": [[268, "dpnp.ndarray.astype"]], "choose() (dpnp.ndarray method)": [[269, "dpnp.ndarray.choose"]], "clip() (dpnp.ndarray method)": [[270, "dpnp.ndarray.clip"]], "conj() (dpnp.ndarray method)": [[271, "dpnp.ndarray.conj"]], "conjugate() (dpnp.ndarray method)": [[272, "dpnp.ndarray.conjugate"]], "copy() (dpnp.ndarray method)": [[273, "dpnp.ndarray.copy"]], "cumsum() (dpnp.ndarray method)": [[274, "dpnp.ndarray.cumsum"]], "diagonal() (dpnp.ndarray method)": [[275, "dpnp.ndarray.diagonal"]], "dtype (dpnp.ndarray property)": [[276, "dpnp.ndarray.dtype"]], "fill() (dpnp.ndarray method)": [[277, "dpnp.ndarray.fill"]], "flags (dpnp.ndarray property)": [[278, "dpnp.ndarray.flags"]], "flat (dpnp.ndarray property)": [[279, "dpnp.ndarray.flat"]], "flatten() (dpnp.ndarray method)": [[280, "dpnp.ndarray.flatten"]], "imag (dpnp.ndarray property)": [[281, "dpnp.ndarray.imag"]], "item() (dpnp.ndarray method)": [[282, "dpnp.ndarray.item"]], "itemsize (dpnp.ndarray property)": [[283, "dpnp.ndarray.itemsize"]], "max() (dpnp.ndarray method)": [[284, "dpnp.ndarray.max"]], "mean() (dpnp.ndarray method)": [[285, "dpnp.ndarray.mean"]], "min() (dpnp.ndarray method)": [[286, "dpnp.ndarray.min"]], "nbytes (dpnp.ndarray property)": [[287, "dpnp.ndarray.nbytes"]], "ndim (dpnp.ndarray property)": [[288, "dpnp.ndarray.ndim"]], "nonzero() (dpnp.ndarray method)": [[289, "dpnp.ndarray.nonzero"]], "partition() (dpnp.ndarray method)": [[290, "dpnp.ndarray.partition"]], "prod() (dpnp.ndarray method)": [[291, "dpnp.ndarray.prod"]], "put() (dpnp.ndarray method)": [[292, "dpnp.ndarray.put"]], "ravel() (dpnp.ndarray method)": [[293, "dpnp.ndarray.ravel"]], "real (dpnp.ndarray property)": [[294, "dpnp.ndarray.real"]], "repeat() (dpnp.ndarray method)": [[295, "dpnp.ndarray.repeat"]], "reshape() (dpnp.ndarray method)": [[296, "dpnp.ndarray.reshape"]], "round() (dpnp.ndarray method)": [[297, "dpnp.ndarray.round"]], "searchsorted() (dpnp.ndarray method)": [[298, "dpnp.ndarray.searchsorted"]], "shape (dpnp.ndarray property)": [[299, "dpnp.ndarray.shape"]], "size (dpnp.ndarray property)": [[300, "dpnp.ndarray.size"]], "sort() (dpnp.ndarray method)": [[301, "dpnp.ndarray.sort"]], "squeeze() (dpnp.ndarray method)": [[302, "dpnp.ndarray.squeeze"]], "std() (dpnp.ndarray method)": [[303, "dpnp.ndarray.std"]], "strides (dpnp.ndarray property)": [[304, "dpnp.ndarray.strides"]], "sum() (dpnp.ndarray method)": [[305, "dpnp.ndarray.sum"]], "swapaxes() (dpnp.ndarray method)": [[306, "dpnp.ndarray.swapaxes"]], "take() (dpnp.ndarray method)": [[307, "dpnp.ndarray.take"]], "transpose() (dpnp.ndarray method)": [[308, "dpnp.ndarray.transpose"]], "var() (dpnp.ndarray method)": [[309, "dpnp.ndarray.var"]], "negative() (in module dpnp)": [[310, "dpnp.negative"]], "nonzero() (in module dpnp)": [[311, "dpnp.nonzero"]], "not_equal() (in module dpnp)": [[312, "dpnp.not_equal"]], "ogrid (in module dpnp)": [[313, "dpnp.ogrid"]], "ones() (in module dpnp)": [[314, "dpnp.ones"]], "ones_like() (in module dpnp)": [[315, "dpnp.ones_like"]], "outer() (in module dpnp)": [[316, "dpnp.outer"]], "partition() (in module dpnp)": [[317, "dpnp.partition"]], "place() (in module dpnp)": [[318, "dpnp.place"]], "positive() (in module dpnp)": [[319, "dpnp.positive"]], "power() (in module dpnp)": [[320, "dpnp.power"]], "prod() (in module dpnp)": [[321, "dpnp.prod"]], "proj() (in module dpnp)": [[322, "dpnp.proj"]], "ptp() (in module dpnp)": [[323, "dpnp.ptp"]], "put() (in module dpnp)": [[324, "dpnp.put"]], "put_along_axis() (in module dpnp)": [[325, "dpnp.put_along_axis"]], "putmask() (in module dpnp)": [[326, "dpnp.putmask"]], "rad2deg() (in module dpnp)": [[327, "dpnp.rad2deg"]], "radians() (in module dpnp)": [[328, "dpnp.radians"]], "randomstate (class in dpnp.random)": [[329, "dpnp.random.RandomState"]], "__eq__() (dpnp.random.randomstate method)": [[329, "dpnp.random.RandomState.__eq__"]], "__ge__() (dpnp.random.randomstate method)": [[329, "dpnp.random.RandomState.__ge__"]], "__gt__() (dpnp.random.randomstate method)": [[329, "dpnp.random.RandomState.__gt__"]], "__le__() (dpnp.random.randomstate method)": [[329, 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module dpnp)": [[383, "dpnp.repeat"]], "reshape() (in module dpnp)": [[384, "dpnp.reshape"]], "result_type() (in module dpnp)": [[385, "dpnp.result_type"]], "right_shift() (in module dpnp)": [[386, "dpnp.right_shift"]], "rint() (in module dpnp)": [[387, "dpnp.rint"]], "roll() (in module dpnp)": [[388, "dpnp.roll"]], "rollaxis() (in module dpnp)": [[389, "dpnp.rollaxis"]], "round() (in module dpnp)": [[390, "dpnp.round"]], "row_stack() (in module dpnp)": [[391, "dpnp.row_stack"]], "rsqrt() (in module dpnp)": [[392, "dpnp.rsqrt"]], "searchsorted() (in module dpnp)": [[393, "dpnp.searchsorted"]], "select() (in module dpnp)": [[394, "dpnp.select"]], "shape() (in module dpnp)": [[395, "dpnp.shape"]], "sign() (in module dpnp)": [[396, "dpnp.sign"]], "signbit() (in module dpnp)": [[397, "dpnp.signbit"]], "sin() (in module dpnp)": [[398, "dpnp.sin"]], "sinh() (in module dpnp)": [[399, "dpnp.sinh"]], "sort() (in module dpnp)": [[400, "dpnp.sort"]], "sqrt() (in module dpnp)": [[401, "dpnp.sqrt"]], "square() (in module dpnp)": [[402, "dpnp.square"]], "squeeze() (in module dpnp)": [[403, "dpnp.squeeze"]], "stack() (in module dpnp)": [[404, "dpnp.stack"]], "std() (in module dpnp)": [[405, "dpnp.std"]], "subtract() (in module dpnp)": [[406, "dpnp.subtract"]], "sum() (in module dpnp)": [[407, "dpnp.sum"]], "swapaxes() (in module dpnp)": [[408, "dpnp.swapaxes"]], "take() (in module dpnp)": [[409, "dpnp.take"]], "take_along_axis() (in module dpnp)": [[410, "dpnp.take_along_axis"]], "tan() (in module dpnp)": [[411, "dpnp.tan"]], "tanh() (in module dpnp)": [[412, "dpnp.tanh"]], "tensordot() (in module dpnp)": [[413, "dpnp.tensordot"]], "tile() (in module dpnp)": [[414, "dpnp.tile"]], "trace() (in module dpnp)": [[415, "dpnp.trace"]], "transpose() (in module dpnp)": [[416, "dpnp.transpose"]], "trapz() (in module dpnp)": [[417, "dpnp.trapz"]], "tri() (in module dpnp)": [[418, "dpnp.tri"]], "tril() (in module dpnp)": [[419, "dpnp.tril"]], "tril_indices() (in module dpnp)": [[420, "dpnp.tril_indices"]], "tril_indices_from() (in module dpnp)": [[421, "dpnp.tril_indices_from"]], "triu() (in module dpnp)": [[422, "dpnp.triu"]], "triu_indices() (in module dpnp)": [[423, "dpnp.triu_indices"]], "triu_indices_from() (in module dpnp)": [[424, "dpnp.triu_indices_from"]], "true_divide() (in module dpnp)": [[425, "dpnp.true_divide"]], "trunc() (in module dpnp)": [[426, "dpnp.trunc"]], "unique() (in module dpnp)": [[427, "dpnp.unique"]], "unwrap() (in module dpnp)": [[428, "dpnp.unwrap"]], "vander() (in module dpnp)": [[429, "dpnp.vander"]], "var() (in module dpnp)": [[430, "dpnp.var"]], "vdot() (in module dpnp)": [[431, "dpnp.vdot"]], "vstack() (in module dpnp)": [[432, "dpnp.vstack"]], "where() (in module dpnp)": [[433, "dpnp.where"]], "zeros() (in module dpnp)": [[434, "dpnp.zeros"]], "zeros_like() (in module dpnp)": [[435, "dpnp.zeros_like"]], "dpnp.random": [[446, "module-dpnp.random"]]}}) \ No newline at end of file