From 9acb5b01a42cd1cec80210913f279b1651c85dad Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Mon, 18 Nov 2024 19:51:56 +0800
Subject: [PATCH 01/21] add_vecdot

---
 python/paddle/__init__.py        |   2 +
 python/paddle/linalg.py          |   2 +
 python/paddle/tensor/__init__.py |   1 +
 python/paddle/tensor/linalg.py   |  42 +++++++++++
 test/legacy_test/test_dot_op.py  | 116 +++++++++++++++++++++++++++++++
 5 files changed, 163 insertions(+)

diff --git a/python/paddle/__init__.py b/python/paddle/__init__.py
index 8dac68efce37a..07b04bead8bce 100644
--- a/python/paddle/__init__.py
+++ b/python/paddle/__init__.py
@@ -240,6 +240,7 @@
     t_,
     transpose,
     transpose_,
+    vecdot,
 )
 from .tensor.logic import (
     allclose,
@@ -1204,4 +1205,5 @@
     'positive',
     'from_dlpack',
     'to_dlpack',
+    'vecdot',
 ]
diff --git a/python/paddle/linalg.py b/python/paddle/linalg.py
index 55a1acba16c07..2a19b79ce9aba 100644
--- a/python/paddle/linalg.py
+++ b/python/paddle/linalg.py
@@ -47,6 +47,7 @@
     svd_lowrank,
     triangular_solve,
     vector_norm,
+    vecdot,
 )
 
 __all__ = [
@@ -55,6 +56,7 @@
     'norm',
     'matrix_norm',
     'vector_norm',
+    'vecdot',
     'cond',
     'cov',
     'corrcoef',
diff --git a/python/paddle/tensor/__init__.py b/python/paddle/tensor/__init__.py
index 041d5de007b20..049f6ba071f1d 100644
--- a/python/paddle/tensor/__init__.py
+++ b/python/paddle/tensor/__init__.py
@@ -102,6 +102,7 @@
     t_,
     transpose,
     transpose_,
+    vecdot,
 )
 from .logic import (  # noqa: F401
     allclose,
diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index db010a6ab816f..135a07c42882a 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1867,6 +1867,48 @@ def dot(x: Tensor, y: Tensor, name: str | None = None) -> Tensor:
         return out
 
 
+def vecdot(x: Tensor, y: Tensor, name: str | None = None) -> Tensor:
+    """
+    This operator calculates inner product for vectors.
+
+    Note:
+       Support 1-d and 2-d Tensor. When it is 2d, the first dimension of this matrix
+       is the batch dimension, which means that the vectors of multiple batches are dotted.
+
+    Parameters:
+        x(Tensor): 1-D or 2-D ``Tensor``. Its dtype should be ``float32``, ``float64``, ``int32``, ``int64``, ``complex64``, ``complex128``
+        y(Tensor): 1-D or 2-D ``Tensor``. Its dtype should be ``float32``, ``float64``, ``int32``, ``int64``, ``complex64``, ``complex128``
+        name(str|None, optional): Name of the output. Default is None. It's used to print debug info for developers. Details: :ref:`api_guide_Name`
+
+    Returns:
+        Tensor: the calculated result Tensor.
+
+    Examples:
+
+        .. code-block:: python
+
+            >>> import paddle
+
+            >>> # 1-D Tensor * 1-D Tensor
+            >>> x = paddle.to_tensor([1, 2, 3])
+            >>> y = paddle.to_tensor([4, 5, 6])
+            >>> z = paddle.linalg.vecdot(x, y)
+            >>> print(z)
+            Tensor(shape=[], dtype=int64, place=Place(cpu), stop_gradient=True,
+            32)
+
+            >>> # 2-D Tensor * 2-D Tensor
+            >>> x = paddle.to_tensor([[1, 2, 3], [2, 4, 6]])
+            >>> y = paddle.to_tensor([[4, 5, 6], [4, 5, 6]])
+            >>> z = paddle.linalg.vecdot(x, y)
+            >>> print(z)
+            Tensor(shape=[2], dtype=int64, place=Place(cpu), stop_gradient=True,
+            [32, 64])
+
+    """
+    return dot(x, y)
+
+
 def cov(
     x: Tensor,
     rowvar: bool = True,
diff --git a/test/legacy_test/test_dot_op.py b/test/legacy_test/test_dot_op.py
index 6cc37dd99cc23..b4ff1f169d76a 100644
--- a/test/legacy_test/test_dot_op.py
+++ b/test/legacy_test/test_dot_op.py
@@ -138,6 +138,122 @@ def init_dtype(self):
         self.dtype = np.float64
 
 
+class VecDotOp(OpTest):
+    def setUp(self):
+        self.op_type = "dot"
+        self.prim_op_type = "prim"
+        self.python_api = paddle.vecdot
+        self.public_python_api = paddle.vecdot
+        self.init_dtype()
+        self.init_input_output()
+
+        self.inputs = {
+            'X': OpTest.np_dtype_to_base_dtype(self.x),
+            'Y': OpTest.np_dtype_to_base_dtype(self.y),
+        }
+        self.outputs = {'Out': self.out}
+        self.attrs = {}
+
+    def test_check_output(self):
+        self.check_output(check_pir=True)
+
+    def test_check_grad_normal(self):
+        if self.dtype == np.complex64 or self.dtype == np.complex128:
+            if core.is_compiled_with_rocm():
+                self.check_grad(
+                    ['X', 'Y'],
+                    'Out',
+                    user_defined_grads=[self.inputs['Y'], self.inputs['X']],
+                    check_pir=True,
+                )
+            else:
+                self.check_grad(['X', 'Y'], 'Out', check_pir=True)
+        else:
+            if core.is_compiled_with_rocm():
+                self.check_grad(
+                    ['X', 'Y'],
+                    'Out',
+                    user_defined_grads=[self.inputs['Y'], self.inputs['X']],
+                    check_pir=True,
+                )
+            else:
+                self.check_grad(
+                    ['X', 'Y'], 'Out', check_pir=True, check_prim_pir=True
+                )
+
+    def test_check_grad_ignore_x(self):
+        if self.dtype == np.complex64 or self.dtype == np.complex128:
+            if core.is_compiled_with_rocm():
+                self.check_grad(
+                    ['Y'],
+                    'Out',
+                    no_grad_set=set("X"),
+                    user_defined_grads=[self.inputs['X']],
+                    check_pir=True,
+                )
+            else:
+                self.check_grad(
+                    ['Y'], 'Out', no_grad_set=set("X"), check_pir=True
+                )
+        else:
+            if core.is_compiled_with_rocm():
+                self.check_grad(
+                    ['Y'],
+                    'Out',
+                    no_grad_set=set("X"),
+                    user_defined_grads=[self.inputs['X']],
+                    check_pir=True,
+                )
+            else:
+                self.check_grad(
+                    ['Y'],
+                    'Out',
+                    no_grad_set=set("X"),
+                    check_pir=True,
+                    check_prim_pir=True,
+                )
+
+    def test_check_grad_ignore_y(self):
+        if self.dtype == np.complex64 or self.dtype == np.complex128:
+            if core.is_compiled_with_rocm():
+                self.check_grad(
+                    ['X'],
+                    'Out',
+                    no_grad_set=set('Y'),
+                    user_defined_grads=[self.inputs['Y']],
+                    check_pir=True,
+                )
+            else:
+                self.check_grad(
+                    ['X'], 'Out', no_grad_set=set('Y'), check_pir=True
+                )
+        else:
+            if core.is_compiled_with_rocm():
+                self.check_grad(
+                    ['X'],
+                    'Out',
+                    no_grad_set=set('Y'),
+                    user_defined_grads=[self.inputs['Y']],
+                    check_pir=True,
+                )
+            else:
+                self.check_grad(
+                    ['X'],
+                    'Out',
+                    no_grad_set=set('Y'),
+                    check_pir=True,
+                    check_prim_pir=True,
+                )
+
+    def init_input_output(self):
+        self.x = np.random.uniform(0.1, 1, [121]).astype(self.dtype)
+        self.y = np.random.uniform(1, 3, [121]).astype(self.dtype)
+        self.out = np.dot(self.x, self.y).astype(self.dtype)
+
+    def init_dtype(self):
+        self.dtype = np.float64
+
+
 class DotOpBatch(DotOp):
     def init_input_output(self):
         self.x = (

From 74c2c27a0358ebcf3d50ad6c037f54df14249fc8 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 19 Nov 2024 01:25:18 +0800
Subject: [PATCH 02/21] update vecdot

---
 python/paddle/tensor/linalg.py         |  55 ++++++-----
 test/legacy_test/test_dot_op.py        | 116 ----------------------
 test/legacy_test/test_linalg_vecdot.py | 130 +++++++++++++++++++++++++
 3 files changed, 159 insertions(+), 142 deletions(-)
 create mode 100644 test/legacy_test/test_linalg_vecdot.py

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index 135a07c42882a..ff58e767205bd 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1867,46 +1867,49 @@ def dot(x: Tensor, y: Tensor, name: str | None = None) -> Tensor:
         return out
 
 
-def vecdot(x: Tensor, y: Tensor, name: str | None = None) -> Tensor:
+def vecdot(
+    x: Tensor,
+    y: Tensor,
+    axis: int = -1,
+    name: str | None = None,
+) -> Tensor:
     """
-    This operator calculates inner product for vectors.
+    Computes the dot product of two tensors along a specified axis.
 
-    Note:
-       Support 1-d and 2-d Tensor. When it is 2d, the first dimension of this matrix
-       is the batch dimension, which means that the vectors of multiple batches are dotted.
+    This function multiplies two tensors element-wise and sums them along a specified axis to compute their dot product. It supports tensors with a dimensionality of 1-D or 2-D. For 2-D tensors, it treats the first dimension as the batch dimension, allowing the computation of dot products for multiple batch entries simultaneously.
 
     Parameters:
-        x(Tensor): 1-D or 2-D ``Tensor``. Its dtype should be ``float32``, ``float64``, ``int32``, ``int64``, ``complex64``, ``complex128``
-        y(Tensor): 1-D or 2-D ``Tensor``. Its dtype should be ``float32``, ``float64``, ``int32``, ``int64``, ``complex64``, ``complex128``
-        name(str|None, optional): Name of the output. Default is None. It's used to print debug info for developers. Details: :ref:`api_guide_Name`
+        x (Tensor): The first input tensor. It should be a 1-D or 2-D tensor with dtype of float32, float64, int32, int64, complex64, or complex128.
+        y (Tensor): The second input tensor, which must have the same shape and dtype as tensor `x` except possibly at the specified `axis`.
+        axis (int, optional): The axis along which to compute the dot product. Default is -1, which indicates the last axis.
+        name (str|None, optional): An optional name for the operation. Default is None. Useful for debugging.
 
     Returns:
-        Tensor: the calculated result Tensor.
+        Tensor: A tensor containing the dot product of `x` and `y` along the specified axis.
 
     Examples:
 
         .. code-block:: python
 
             >>> import paddle
+            >>> x = paddle.to_tensor([1, 2, 3], dtype='float32')
+            >>> y = paddle.to_tensor([4, 5, 6], dtype='float32')
+            >>> result = paddle.linalg.vecdot(x, y)
+            >>> print(result)
+            Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True,
+               [32.0])
 
-            >>> # 1-D Tensor * 1-D Tensor
-            >>> x = paddle.to_tensor([1, 2, 3])
-            >>> y = paddle.to_tensor([4, 5, 6])
-            >>> z = paddle.linalg.vecdot(x, y)
-            >>> print(z)
-            Tensor(shape=[], dtype=int64, place=Place(cpu), stop_gradient=True,
-            32)
-
-            >>> # 2-D Tensor * 2-D Tensor
-            >>> x = paddle.to_tensor([[1, 2, 3], [2, 4, 6]])
-            >>> y = paddle.to_tensor([[4, 5, 6], [4, 5, 6]])
-            >>> z = paddle.linalg.vecdot(x, y)
-            >>> print(z)
-            Tensor(shape=[2], dtype=int64, place=Place(cpu), stop_gradient=True,
-            [32, 64])
-
+            >>> x2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
+            >>> y2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
+            >>> result2 = paddle.linalg.vecdot(x2, y2, axis=1)
+            >>> print(result2)
+            Tensor(shape=[2], dtype=float32, place=Place(cpu), stop_gradient=True,
+               [14.0, 77.0])
     """
-    return dot(x, y)
+    if x.shape[axis] != y.shape[axis]:
+        raise ValueError("Size of the specified axis must match for both tensors.")
+    out = (x.conj() * y).sum(axis=axis)
+    return out
 
 
 def cov(
diff --git a/test/legacy_test/test_dot_op.py b/test/legacy_test/test_dot_op.py
index b4ff1f169d76a..6cc37dd99cc23 100644
--- a/test/legacy_test/test_dot_op.py
+++ b/test/legacy_test/test_dot_op.py
@@ -138,122 +138,6 @@ def init_dtype(self):
         self.dtype = np.float64
 
 
-class VecDotOp(OpTest):
-    def setUp(self):
-        self.op_type = "dot"
-        self.prim_op_type = "prim"
-        self.python_api = paddle.vecdot
-        self.public_python_api = paddle.vecdot
-        self.init_dtype()
-        self.init_input_output()
-
-        self.inputs = {
-            'X': OpTest.np_dtype_to_base_dtype(self.x),
-            'Y': OpTest.np_dtype_to_base_dtype(self.y),
-        }
-        self.outputs = {'Out': self.out}
-        self.attrs = {}
-
-    def test_check_output(self):
-        self.check_output(check_pir=True)
-
-    def test_check_grad_normal(self):
-        if self.dtype == np.complex64 or self.dtype == np.complex128:
-            if core.is_compiled_with_rocm():
-                self.check_grad(
-                    ['X', 'Y'],
-                    'Out',
-                    user_defined_grads=[self.inputs['Y'], self.inputs['X']],
-                    check_pir=True,
-                )
-            else:
-                self.check_grad(['X', 'Y'], 'Out', check_pir=True)
-        else:
-            if core.is_compiled_with_rocm():
-                self.check_grad(
-                    ['X', 'Y'],
-                    'Out',
-                    user_defined_grads=[self.inputs['Y'], self.inputs['X']],
-                    check_pir=True,
-                )
-            else:
-                self.check_grad(
-                    ['X', 'Y'], 'Out', check_pir=True, check_prim_pir=True
-                )
-
-    def test_check_grad_ignore_x(self):
-        if self.dtype == np.complex64 or self.dtype == np.complex128:
-            if core.is_compiled_with_rocm():
-                self.check_grad(
-                    ['Y'],
-                    'Out',
-                    no_grad_set=set("X"),
-                    user_defined_grads=[self.inputs['X']],
-                    check_pir=True,
-                )
-            else:
-                self.check_grad(
-                    ['Y'], 'Out', no_grad_set=set("X"), check_pir=True
-                )
-        else:
-            if core.is_compiled_with_rocm():
-                self.check_grad(
-                    ['Y'],
-                    'Out',
-                    no_grad_set=set("X"),
-                    user_defined_grads=[self.inputs['X']],
-                    check_pir=True,
-                )
-            else:
-                self.check_grad(
-                    ['Y'],
-                    'Out',
-                    no_grad_set=set("X"),
-                    check_pir=True,
-                    check_prim_pir=True,
-                )
-
-    def test_check_grad_ignore_y(self):
-        if self.dtype == np.complex64 or self.dtype == np.complex128:
-            if core.is_compiled_with_rocm():
-                self.check_grad(
-                    ['X'],
-                    'Out',
-                    no_grad_set=set('Y'),
-                    user_defined_grads=[self.inputs['Y']],
-                    check_pir=True,
-                )
-            else:
-                self.check_grad(
-                    ['X'], 'Out', no_grad_set=set('Y'), check_pir=True
-                )
-        else:
-            if core.is_compiled_with_rocm():
-                self.check_grad(
-                    ['X'],
-                    'Out',
-                    no_grad_set=set('Y'),
-                    user_defined_grads=[self.inputs['Y']],
-                    check_pir=True,
-                )
-            else:
-                self.check_grad(
-                    ['X'],
-                    'Out',
-                    no_grad_set=set('Y'),
-                    check_pir=True,
-                    check_prim_pir=True,
-                )
-
-    def init_input_output(self):
-        self.x = np.random.uniform(0.1, 1, [121]).astype(self.dtype)
-        self.y = np.random.uniform(1, 3, [121]).astype(self.dtype)
-        self.out = np.dot(self.x, self.y).astype(self.dtype)
-
-    def init_dtype(self):
-        self.dtype = np.float64
-
-
 class DotOpBatch(DotOp):
     def init_input_output(self):
         self.x = (
diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
new file mode 100644
index 0000000000000..a9ea915d6773e
--- /dev/null
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -0,0 +1,130 @@
+#   Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import sys
+import unittest
+
+import numpy as np
+import paddle
+
+if sys.platform == 'win32':
+    RTOL = {'float32': 1e-02, 'float64': 1e-04}
+    ATOL = {'float32': 1e-02, 'float64': 1e-04}
+else:
+    RTOL = {'float32': 1e-06, 'float64': 1e-15}
+    ATOL = {'float32': 1e-06, 'float64': 1e-15}
+
+
+class VecDotTestCase(unittest.TestCase):
+    def setUp(self):
+        self.init_config()
+        self.generate_input()
+        self.generate_expected_output()
+        self.places = [paddle.CPUPlace()]
+        if paddle.is_compiled_with_cuda():
+            self.places.append(paddle.CUDAPlace(0))
+
+    def generate_input(self):
+        np.random.seed(123)
+        self.x = np.random.random(self.input_shape).astype(self.dtype)
+        self.y = np.random.random(self.input_shape).astype(self.dtype)
+
+    def generate_expected_output(self):
+        self.expected_output = np.sum(self.x * self.y, axis=self.axis)
+
+    def init_config(self):
+        self.dtype = 'float64'
+        self.input_shape = (3, 4)
+        self.axis = -1
+
+    def test_dygraph(self):
+        for place in self.places:
+            paddle.disable_static(place)
+            x_tensor = paddle.to_tensor(self.x, place=place)
+            y_tensor = paddle.to_tensor(self.y, place=place)
+            result = paddle.vecdot(x_tensor, y_tensor, axis=self.axis)
+
+            np.testing.assert_allclose(
+                result.numpy(),
+                self.expected_output,
+                rtol=RTOL[self.dtype],
+                atol=ATOL[self.dtype],
+            )
+
+    def test_static(self):
+        paddle.enable_static()
+        for place in self.places:
+            with paddle.static.program_guard(
+                paddle.static.Program(), paddle.static.Program()
+            ):
+                x = paddle.static.data(
+                    name="x", shape=self.input_shape, dtype=self.dtype
+                )
+                y = paddle.static.data(
+                    name="y", shape=self.input_shape, dtype=self.dtype
+                )
+
+                result = paddle.vecdot(x, y, axis=self.axis)
+                exe = paddle.static.Executor(place)
+                output = exe.run(
+                    feed={"x": self.x, "y": self.y},
+                    fetch_list=[result],
+                )[0]
+
+            np.testing.assert_allclose(
+                output,
+                self.expected_output,
+                rtol=RTOL[self.dtype],
+                atol=ATOL[self.dtype],
+            )
+
+
+class VecDotTestCaseFloat32(VecDotTestCase):
+    def init_config(self):
+        self.dtype = 'float32'
+        self.input_shape = (3, 4)
+        self.axis = -1
+
+
+class VecDotTestCaseHigherDim(VecDotTestCase):
+    def init_config(self):
+        self.dtype = 'float64'
+        self.input_shape = (2, 3, 4)
+        self.axis = -1
+
+
+class VecDotTestCaseAxis(VecDotTestCase):
+    def init_config(self):
+        self.dtype = 'float64'
+        self.input_shape = (3, 4, 5)
+        self.axis = 1
+
+
+class VecDotTestCaseError(unittest.TestCase):
+    def test_axis_mismatch(self):
+        with self.assertRaises(ValueError):
+            x = paddle.rand([3, 4], dtype="float32")
+            y = paddle.rand([3, 5], dtype="float32")
+            paddle.vecdot(x, y, axis=-1)
+
+    def test_dtype_mismatch(self):
+        with self.assertRaises(TypeError):
+            x = paddle.rand([3, 4], dtype="float32")
+            y = paddle.rand([3, 4], dtype="int32")
+            paddle.vecdot(x, y, axis=-1)
+
+
+if __name__ == '__main__':
+    unittest.main()

From 78885775e8c49d8e939cab1b52f39f83850e9503 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 19 Nov 2024 01:43:52 +0800
Subject: [PATCH 03/21] fix codestyle

---
 python/paddle/tensor/linalg.py         | 4 +++-
 test/legacy_test/test_linalg_vecdot.py | 3 ++-
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index ff58e767205bd..d873aa53d7d1c 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1907,7 +1907,9 @@ def vecdot(
                [14.0, 77.0])
     """
     if x.shape[axis] != y.shape[axis]:
-        raise ValueError("Size of the specified axis must match for both tensors.")
+        raise ValueError(
+            "Size of the specified axis must match for both tensors."
+        )
     out = (x.conj() * y).sum(axis=axis)
     return out
 
diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index a9ea915d6773e..52cfefd4f61b0 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -12,11 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
+
 import sys
 import unittest
 
 import numpy as np
+
 import paddle
 
 if sys.platform == 'win32':

From 7b1e0ddbe8d059b4559717a452931e4e4be2efa2 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 19 Nov 2024 10:00:36 +0800
Subject: [PATCH 04/21] fix codestyle

---
 python/paddle/linalg.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/python/paddle/linalg.py b/python/paddle/linalg.py
index 2a19b79ce9aba..76b0c3604e919 100644
--- a/python/paddle/linalg.py
+++ b/python/paddle/linalg.py
@@ -46,8 +46,8 @@
     svd,
     svd_lowrank,
     triangular_solve,
-    vector_norm,
     vecdot,
+    vector_norm,
 )
 
 __all__ = [
@@ -55,8 +55,8 @@
     'cholesky_inverse',
     'norm',
     'matrix_norm',
-    'vector_norm',
     'vecdot',
+    'vector_norm',
     'cond',
     'cov',
     'corrcoef',

From ebd6c023c5c6894b66323c3bceb06bfe6784e652 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 19 Nov 2024 14:03:03 +0800
Subject: [PATCH 05/21] Update test/legacy_test/test_linalg_vecdot.py

Co-authored-by: HydrogenSulfate <490868991@qq.com>
---
 test/legacy_test/test_linalg_vecdot.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index 52cfefd4f61b0..536095199d8bd 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -53,8 +53,8 @@ def init_config(self):
     def test_dygraph(self):
         for place in self.places:
             paddle.disable_static(place)
-            x_tensor = paddle.to_tensor(self.x, place=place)
-            y_tensor = paddle.to_tensor(self.y, place=place)
+            x_tensor = paddle.to_tensor(self.x, dtype=self.dtype, place=place)
+            y_tensor = paddle.to_tensor(self.y, dtype=self.dtype, place=place)
             result = paddle.vecdot(x_tensor, y_tensor, axis=self.axis)
 
             np.testing.assert_allclose(

From 41938101a05cf0e8270ab5f793997f4eaefaf24c Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 19 Nov 2024 14:03:15 +0800
Subject: [PATCH 06/21] Update python/paddle/tensor/linalg.py

Co-authored-by: HydrogenSulfate <490868991@qq.com>
---
 python/paddle/tensor/linalg.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index d873aa53d7d1c..9240596b7b7af 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1878,7 +1878,7 @@ def vecdot(
 
     This function multiplies two tensors element-wise and sums them along a specified axis to compute their dot product. It supports tensors with a dimensionality of 1-D or 2-D. For 2-D tensors, it treats the first dimension as the batch dimension, allowing the computation of dot products for multiple batch entries simultaneously.
 
-    Parameters:
+    Args:
         x (Tensor): The first input tensor. It should be a 1-D or 2-D tensor with dtype of float32, float64, int32, int64, complex64, or complex128.
         y (Tensor): The second input tensor, which must have the same shape and dtype as tensor `x` except possibly at the specified `axis`.
         axis (int, optional): The axis along which to compute the dot product. Default is -1, which indicates the last axis.

From abffd22d6be2460edc90b508af22985a1e71bcf1 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 19 Nov 2024 14:46:55 +0800
Subject: [PATCH 07/21] update_vecdot

---
 python/paddle/tensor/linalg.py         |  16 ++--
 test/legacy_test/test_linalg_vecdot.py | 106 +++++++++++++++++++++++++
 2 files changed, 116 insertions(+), 6 deletions(-)

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index 9240596b7b7af..122f2e4545519 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1876,13 +1876,13 @@ def vecdot(
     """
     Computes the dot product of two tensors along a specified axis.
 
-    This function multiplies two tensors element-wise and sums them along a specified axis to compute their dot product. It supports tensors with a dimensionality of 1-D or 2-D. For 2-D tensors, it treats the first dimension as the batch dimension, allowing the computation of dot products for multiple batch entries simultaneously.
+    This function multiplies two tensors element-wise and sums them along a specified axis to compute their dot product. It supports tensors of any dimensionality, including 0-D tensors, as long as the shapes of `x` and `y` are broadcastable along the specified axis.
 
     Args:
-        x (Tensor): The first input tensor. It should be a 1-D or 2-D tensor with dtype of float32, float64, int32, int64, complex64, or complex128.
-        y (Tensor): The second input tensor, which must have the same shape and dtype as tensor `x` except possibly at the specified `axis`.
+        x (Tensor): The first input tensor. It should be a tensor with dtype of float32, float64, int32, int64, complex64, or complex128.
+        y (Tensor): The second input tensor. Its shape must be broadcastable with `x` along the specified `axis`, and it must have the same dtype as `x`.
         axis (int, optional): The axis along which to compute the dot product. Default is -1, which indicates the last axis.
-        name (str|None, optional): An optional name for the operation. Default is None. Useful for debugging.
+        name (str|None, optional): Name of the output. Default is None. It's used to print debug info for developers. Details: :ref:`api_guide_Name`
 
     Returns:
         Tensor: A tensor containing the dot product of `x` and `y` along the specified axis.
@@ -1906,10 +1906,14 @@ def vecdot(
             Tensor(shape=[2], dtype=float32, place=Place(cpu), stop_gradient=True,
                [14.0, 77.0])
     """
-    if x.shape[axis] != y.shape[axis]:
+    try:
+        broadcast_shape = paddle.broadcast_shape(x.shape, y.shape)
+    except ValueError:
         raise ValueError(
-            "Size of the specified axis must match for both tensors."
+            f"Shapes {x.shape} and {y.shape} are not broadcastable."
         )
+
+    x, y = paddle.broadcast_to(x, broadcast_shape), paddle.broadcast_to(y, broadcast_shape)
     out = (x.conj() * y).sum(axis=axis)
     return out
 
diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index 536095199d8bd..29c9c80fe4efc 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -127,5 +127,111 @@ def test_dtype_mismatch(self):
             paddle.vecdot(x, y, axis=-1)
 
 
+class VecDotTestCaseComplex(unittest.TestCase):
+    def run_test_dynamic(self):
+        paddle.disable_static()
+        x = paddle.to_tensor([[1 + 2j, 3 + 4j], [5 + 6j, 7 + 8j]], dtype="complex64")
+        y = paddle.to_tensor([[9 + 1j, 8 + 2j], [7 + 3j, 6 + 4j]], dtype="complex64")
+        result = paddle.vecdot(x, y, axis=-1)
+        expected = np.sum((x.numpy().conj() * y.numpy()), axis=-1)
+        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-5, atol=1e-5)
+
+    def run_test_static(self):
+        paddle.enable_static()
+        place = paddle.CPUPlace()
+        with paddle.static.program_guard(paddle.static.Program()):
+            x = paddle.static.data(
+                name="x", shape=[2, 2], dtype="complex64"
+            )
+            y = paddle.static.data(
+                name="y", shape=[2, 2], dtype="complex64"
+            )
+            result = paddle.vecdot(x, y, axis=-1)
+            exe = paddle.static.Executor(place)
+            output = exe.run(
+                feed={
+                    "x": np.array([[1 + 2j, 3 + 4j], [5 + 6j, 7 + 8j]]).astype("complex64"),
+                    "y": np.array([[9 + 1j, 8 + 2j], [7 + 3j, 6 + 4j]]).astype("complex64"),
+                },
+                fetch_list=[result],
+            )[0]
+        expected = np.sum(
+            np.conj(np.array([[1 + 2j, 3 + 4j], [5 + 6j, 7 + 8j]])).astype("complex64")
+            * np.array([[9 + 1j, 8 + 2j], [7 + 3j, 6 + 4j]]).astype("complex64"),
+            axis=-1,
+        )
+        np.testing.assert_allclose(output, expected, rtol=1e-5, atol=1e-5)
+
+    def test_complex_conjugate(self):
+        self.run_test_dynamic()
+        self.run_test_static()
+
+
+class VecDotTestCaseTypePromotion1(unittest.TestCase):
+    def test_float32_float64_promotion(self):
+        paddle.disable_static()
+        x = paddle.to_tensor([[1.0, 2.0], [3.0, 4.0]], dtype="float32")
+        y = paddle.to_tensor([[5.0, 6.0], [7.0, 8.0]], dtype="float64")
+        result = paddle.vecdot(x, y, axis=-1)
+
+        expected = np.sum(x.numpy().astype("float64") * y.numpy(), axis=-1)
+        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-6, atol=1e-6)
+
+
+class VecDotTestCaseTypePromotion2(unittest.TestCase):
+    def test_float64_complex64_promotion(self):
+        paddle.disable_static()
+        x = paddle.to_tensor([[1.0, 2.0], [3.0, 4.0]], dtype="float64")
+        y = paddle.to_tensor([[5 + 6j, 7 + 8j], [9 + 1j, 2 + 3j]], dtype="complex64")
+        result = paddle.vecdot(x, y, axis=-1)
+
+        expected = np.sum(x.numpy().astype("complex64") * y.numpy(), axis=-1)
+        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-5, atol=1e-5)
+
+
+class VecDotTestCaseBroadcast0DTensor(unittest.TestCase):
+    def test_0d_tensor_broadcast(self):
+        paddle.disable_static()
+        x = paddle.to_tensor(2.0, dtype="float32")
+        y = paddle.to_tensor(3.0, dtype="float32")
+        result = paddle.vecdot(x, y)
+
+        expected = x.numpy() * y.numpy()
+        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-6, atol=1e-6)
+
+
+class VecDotTestCaseBroadcast1DTensor(unittest.TestCase):
+    def test_1d_tensor_broadcast(self):
+        paddle.disable_static()
+        x = paddle.to_tensor([1.0, 2.0, 3.0], dtype="float32")
+        y = paddle.to_tensor([4.0, 5.0, 6.0], dtype="float32")
+        result = paddle.vecdot(x, y)
+
+        expected = np.dot(x.numpy(), y.numpy())
+        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-6, atol=1e-6)
+
+
+class VecDotTestCaseBroadcast1DNDTensor(unittest.TestCase):
+    def test_1d_nd_tensor_broadcast(self):
+        paddle.disable_static()
+        x = paddle.to_tensor([1.0, 2.0], dtype="float32")
+        y = paddle.to_tensor([[3.0, 4.0], [5.0, 6.0]], dtype="float32")
+        result = paddle.vecdot(x, y, axis=-1)
+
+        expected = np.sum(x.numpy() * y.numpy(), axis=-1)
+        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-6, atol=1e-6)
+
+
+class VecDotTestCaseBroadcastNDTensor(unittest.TestCase):
+    def test_nd_nd_tensor_broadcast(self):
+        paddle.disable_static()
+        x = paddle.to_tensor([[1.0, 2.0], [3.0, 4.0]], dtype="float32")
+        y = paddle.to_tensor([5.0, 6.0], dtype="float32")  # 1-D broadcast to 2-D
+        result = paddle.vecdot(x, y, axis=-1)
+
+        expected = np.sum(x.numpy() * y.numpy(), axis=-1)
+        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-6, atol=1e-6)
+
+
 if __name__ == '__main__':
     unittest.main()

From ef6edd28fa6d416b2fa18ff71afd0c6dd7c26909 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 19 Nov 2024 15:51:42 +0800
Subject: [PATCH 08/21] fix_codestyle

---
 test/legacy_test/test_linalg_vecdot.py | 32 +++++++++++++++++++-------
 1 file changed, 24 insertions(+), 8 deletions(-)

diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index 29c9c80fe4efc..61dcda32fb690 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -134,7 +134,9 @@ def run_test_dynamic(self):
         y = paddle.to_tensor([[9 + 1j, 8 + 2j], [7 + 3j, 6 + 4j]], dtype="complex64")
         result = paddle.vecdot(x, y, axis=-1)
         expected = np.sum((x.numpy().conj() * y.numpy()), axis=-1)
-        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-5, atol=1e-5)
+        np.testing.assert_allclose(
+            result.numpy(), expected, rtol=1e-5, atol=1e-5
+        )
 
     def run_test_static(self):
         paddle.enable_static()
@@ -175,7 +177,9 @@ def test_float32_float64_promotion(self):
         result = paddle.vecdot(x, y, axis=-1)
 
         expected = np.sum(x.numpy().astype("float64") * y.numpy(), axis=-1)
-        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-6, atol=1e-6)
+        np.testing.assert_allclose(
+            result.numpy(), expected, rtol=1e-6, atol=1e-6
+        )
 
 
 class VecDotTestCaseTypePromotion2(unittest.TestCase):
@@ -186,7 +190,9 @@ def test_float64_complex64_promotion(self):
         result = paddle.vecdot(x, y, axis=-1)
 
         expected = np.sum(x.numpy().astype("complex64") * y.numpy(), axis=-1)
-        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-5, atol=1e-5)
+        np.testing.assert_allclose(
+            result.numpy(), expected, rtol=1e-5, atol=1e-5
+        )
 
 
 class VecDotTestCaseBroadcast0DTensor(unittest.TestCase):
@@ -197,7 +203,9 @@ def test_0d_tensor_broadcast(self):
         result = paddle.vecdot(x, y)
 
         expected = x.numpy() * y.numpy()
-        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-6, atol=1e-6)
+        np.testing.assert_allclose(
+            result.numpy(), expected, rtol=1e-6, atol=1e-6
+        )
 
 
 class VecDotTestCaseBroadcast1DTensor(unittest.TestCase):
@@ -208,18 +216,24 @@ def test_1d_tensor_broadcast(self):
         result = paddle.vecdot(x, y)
 
         expected = np.dot(x.numpy(), y.numpy())
-        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-6, atol=1e-6)
+        np.testing.assert_allclose(
+            result.numpy(), expected, rtol=1e-6, atol=1e-6
+        )
 
 
 class VecDotTestCaseBroadcast1DNDTensor(unittest.TestCase):
     def test_1d_nd_tensor_broadcast(self):
         paddle.disable_static()
         x = paddle.to_tensor([1.0, 2.0], dtype="float32")
-        y = paddle.to_tensor([[3.0, 4.0], [5.0, 6.0]], dtype="float32")
+        y = paddle.to_tensor(
+            [[3.0, 4.0], [5.0, 6.0]], dtype="float32"
+        )
         result = paddle.vecdot(x, y, axis=-1)
 
         expected = np.sum(x.numpy() * y.numpy(), axis=-1)
-        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-6, atol=1e-6)
+        np.testing.assert_allclose(
+            result.numpy(), expected, rtol=1e-6, atol=1e-6
+        )
 
 
 class VecDotTestCaseBroadcastNDTensor(unittest.TestCase):
@@ -230,7 +244,9 @@ def test_nd_nd_tensor_broadcast(self):
         result = paddle.vecdot(x, y, axis=-1)
 
         expected = np.sum(x.numpy() * y.numpy(), axis=-1)
-        np.testing.assert_allclose(result.numpy(), expected, rtol=1e-6, atol=1e-6)
+        np.testing.assert_allclose(
+            result.numpy(), expected, rtol=1e-6, atol=1e-6
+        )
 
 
 if __name__ == '__main__':

From 269668230fc4dc7dfed0b37287341045d7b480b8 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 19 Nov 2024 16:09:08 +0800
Subject: [PATCH 09/21] fix codestyle

---
 test/legacy_test/test_linalg_vecdot.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index 61dcda32fb690..b8538494bc7b9 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -240,7 +240,7 @@ class VecDotTestCaseBroadcastNDTensor(unittest.TestCase):
     def test_nd_nd_tensor_broadcast(self):
         paddle.disable_static()
         x = paddle.to_tensor([[1.0, 2.0], [3.0, 4.0]], dtype="float32")
-        y = paddle.to_tensor([5.0, 6.0], dtype="float32")  # 1-D broadcast to 2-D
+        y = paddle.to_tensor([5.0, 6.0], dtype="float32")
         result = paddle.vecdot(x, y, axis=-1)
 
         expected = np.sum(x.numpy() * y.numpy(), axis=-1)

From fe9ec10f6ea5e5c7424a3096caaa32193d2fcb7b Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 19 Nov 2024 21:11:52 +0800
Subject: [PATCH 10/21] fix codestyle

---
 python/paddle/tensor/linalg.py         |  4 ++-
 test/legacy_test/test_linalg_vecdot.py | 40 +++++++++++++++-----------
 2 files changed, 27 insertions(+), 17 deletions(-)

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index 122f2e4545519..fa82f451f828e 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1913,7 +1913,9 @@ def vecdot(
             f"Shapes {x.shape} and {y.shape} are not broadcastable."
         )
 
-    x, y = paddle.broadcast_to(x, broadcast_shape), paddle.broadcast_to(y, broadcast_shape)
+    x, y = paddle.broadcast_to(x, broadcast_shape), paddle.broadcast_to(
+        y, broadcast_shape
+    )
     out = (x.conj() * y).sum(axis=axis)
     return out
 
diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index b8538494bc7b9..7bb10fc9ec19d 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -130,8 +130,12 @@ def test_dtype_mismatch(self):
 class VecDotTestCaseComplex(unittest.TestCase):
     def run_test_dynamic(self):
         paddle.disable_static()
-        x = paddle.to_tensor([[1 + 2j, 3 + 4j], [5 + 6j, 7 + 8j]], dtype="complex64")
-        y = paddle.to_tensor([[9 + 1j, 8 + 2j], [7 + 3j, 6 + 4j]], dtype="complex64")
+        x = paddle.to_tensor(
+            [[1 + 2j, 3 + 4j], [5 + 6j, 7 + 8j]], dtype="complex64"
+        )
+        y = paddle.to_tensor(
+            [[9 + 1j, 8 + 2j], [7 + 3j, 6 + 4j]], dtype="complex64"
+        )
         result = paddle.vecdot(x, y, axis=-1)
         expected = np.sum((x.numpy().conj() * y.numpy()), axis=-1)
         np.testing.assert_allclose(
@@ -142,24 +146,28 @@ def run_test_static(self):
         paddle.enable_static()
         place = paddle.CPUPlace()
         with paddle.static.program_guard(paddle.static.Program()):
-            x = paddle.static.data(
-                name="x", shape=[2, 2], dtype="complex64"
-            )
-            y = paddle.static.data(
-                name="y", shape=[2, 2], dtype="complex64"
-            )
+            x = paddle.static.data(name="x", shape=[2, 2], dtype="complex64")
+            y = paddle.static.data(name="y", shape=[2, 2], dtype="complex64")
             result = paddle.vecdot(x, y, axis=-1)
             exe = paddle.static.Executor(place)
             output = exe.run(
                 feed={
-                    "x": np.array([[1 + 2j, 3 + 4j], [5 + 6j, 7 + 8j]]).astype("complex64"),
-                    "y": np.array([[9 + 1j, 8 + 2j], [7 + 3j, 6 + 4j]]).astype("complex64"),
+                    "x": np.array([[1 + 2j, 3 + 4j], [5 + 6j, 7 + 8j]]).astype(
+                        "complex64"
+                    ),
+                    "y": np.array([[9 + 1j, 8 + 2j], [7 + 3j, 6 + 4j]]).astype(
+                        "complex64"
+                    ),
                 },
                 fetch_list=[result],
             )[0]
         expected = np.sum(
-            np.conj(np.array([[1 + 2j, 3 + 4j], [5 + 6j, 7 + 8j]])).astype("complex64")
-            * np.array([[9 + 1j, 8 + 2j], [7 + 3j, 6 + 4j]]).astype("complex64"),
+            np.conj(np.array([[1 + 2j, 3 + 4j], [5 + 6j, 7 + 8j]])).astype(
+                "complex64"
+            )
+            * np.array([[9 + 1j, 8 + 2j], [7 + 3j, 6 + 4j]]).astype(
+                "complex64"
+            ),
             axis=-1,
         )
         np.testing.assert_allclose(output, expected, rtol=1e-5, atol=1e-5)
@@ -186,7 +194,9 @@ class VecDotTestCaseTypePromotion2(unittest.TestCase):
     def test_float64_complex64_promotion(self):
         paddle.disable_static()
         x = paddle.to_tensor([[1.0, 2.0], [3.0, 4.0]], dtype="float64")
-        y = paddle.to_tensor([[5 + 6j, 7 + 8j], [9 + 1j, 2 + 3j]], dtype="complex64")
+        y = paddle.to_tensor(
+            [[5 + 6j, 7 + 8j], [9 + 1j, 2 + 3j]], dtype="complex64"
+        )
         result = paddle.vecdot(x, y, axis=-1)
 
         expected = np.sum(x.numpy().astype("complex64") * y.numpy(), axis=-1)
@@ -225,9 +235,7 @@ class VecDotTestCaseBroadcast1DNDTensor(unittest.TestCase):
     def test_1d_nd_tensor_broadcast(self):
         paddle.disable_static()
         x = paddle.to_tensor([1.0, 2.0], dtype="float32")
-        y = paddle.to_tensor(
-            [[3.0, 4.0], [5.0, 6.0]], dtype="float32"
-        )
+        y = paddle.to_tensor([[3.0, 4.0], [5.0, 6.0]], dtype="float32")
         result = paddle.vecdot(x, y, axis=-1)
 
         expected = np.sum(x.numpy() * y.numpy(), axis=-1)

From 9e1be507ada7785d393785929e7b1c19334f9801 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Wed, 20 Nov 2024 16:53:44 +0800
Subject: [PATCH 11/21] update

---
 python/paddle/tensor/linalg.py | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index fa82f451f828e..54f02b361b57e 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1906,16 +1906,6 @@ def vecdot(
             Tensor(shape=[2], dtype=float32, place=Place(cpu), stop_gradient=True,
                [14.0, 77.0])
     """
-    try:
-        broadcast_shape = paddle.broadcast_shape(x.shape, y.shape)
-    except ValueError:
-        raise ValueError(
-            f"Shapes {x.shape} and {y.shape} are not broadcastable."
-        )
-
-    x, y = paddle.broadcast_to(x, broadcast_shape), paddle.broadcast_to(
-        y, broadcast_shape
-    )
     out = (x.conj() * y).sum(axis=axis)
     return out
 

From 12c2e11a056d88e84e53381ce0b8f48ace557c78 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Thu, 21 Nov 2024 17:56:47 +0800
Subject: [PATCH 12/21] skip_xpu

---
 test/legacy_test/test_linalg_vecdot.py | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)

diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index 7bb10fc9ec19d..6d336177e3f71 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -120,13 +120,20 @@ def test_axis_mismatch(self):
             y = paddle.rand([3, 5], dtype="float32")
             paddle.vecdot(x, y, axis=-1)
 
+    @unittest.skipIf(
+        core.is_compiled_with_xpu(),
+        "Skip XPU for not support uniform(dtype=int)",
+    )
     def test_dtype_mismatch(self):
         with self.assertRaises(TypeError):
             x = paddle.rand([3, 4], dtype="float32")
             y = paddle.rand([3, 4], dtype="int32")
             paddle.vecdot(x, y, axis=-1)
 
-
+@unittest.skipIf(
+    core.is_compiled_with_xpu(),
+    "Skip XPU for not support uniform(dtype=int)",
+)
 class VecDotTestCaseComplex(unittest.TestCase):
     def run_test_dynamic(self):
         paddle.disable_static()
@@ -176,7 +183,10 @@ def test_complex_conjugate(self):
         self.run_test_dynamic()
         self.run_test_static()
 
-
+@unittest.skipIf(
+    core.is_compiled_with_xpu(),
+    "Skip XPU for not support uniform(dtype=int)",
+)
 class VecDotTestCaseTypePromotion1(unittest.TestCase):
     def test_float32_float64_promotion(self):
         paddle.disable_static()

From 31f669fb79a2078d0589a1bf01861a056cebc0c4 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Thu, 21 Nov 2024 19:01:49 +0800
Subject: [PATCH 13/21] Update test_linalg_vecdot.py

---
 test/legacy_test/test_linalg_vecdot.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index 6d336177e3f71..eec74a9196235 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -130,6 +130,7 @@ def test_dtype_mismatch(self):
             y = paddle.rand([3, 4], dtype="int32")
             paddle.vecdot(x, y, axis=-1)
 
+
 @unittest.skipIf(
     core.is_compiled_with_xpu(),
     "Skip XPU for not support uniform(dtype=int)",
@@ -183,6 +184,7 @@ def test_complex_conjugate(self):
         self.run_test_dynamic()
         self.run_test_static()
 
+
 @unittest.skipIf(
     core.is_compiled_with_xpu(),
     "Skip XPU for not support uniform(dtype=int)",

From 0c014c7c4f4c6fad81faa9afb46755eecfd8f127 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Thu, 21 Nov 2024 19:20:08 +0800
Subject: [PATCH 14/21] fix codestyle

---
 test/legacy_test/test_linalg_vecdot.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index eec74a9196235..545021373beaa 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -19,6 +19,8 @@
 import numpy as np
 
 import paddle
+from paddle.base import core
+
 
 if sys.platform == 'win32':
     RTOL = {'float32': 1e-02, 'float64': 1e-04}

From 1a63df0883b482e097dde426629e52b621a1d66d Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Thu, 21 Nov 2024 19:29:26 +0800
Subject: [PATCH 15/21] fix codestyle again

---
 test/legacy_test/test_linalg_vecdot.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index 545021373beaa..00819e1e7eac5 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -21,7 +21,6 @@
 import paddle
 from paddle.base import core
 
-
 if sys.platform == 'win32':
     RTOL = {'float32': 1e-02, 'float64': 1e-04}
     ATOL = {'float32': 1e-02, 'float64': 1e-04}

From a970f6561a316c711f910f2f6457e0505fd2dc11 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Fri, 22 Nov 2024 13:50:19 +0800
Subject: [PATCH 16/21] fix

---
 python/paddle/tensor/linalg.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index a24f8f7297d28..02b493ba5787a 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1897,14 +1897,14 @@ def vecdot(
             >>> result = paddle.linalg.vecdot(x, y)
             >>> print(result)
             Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True,
-               [32.0])
+            [32.0])
 
             >>> x2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
             >>> y2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
             >>> result2 = paddle.linalg.vecdot(x2, y2, axis=1)
             >>> print(result2)
             Tensor(shape=[2], dtype=float32, place=Place(cpu), stop_gradient=True,
-               [14.0, 77.0])
+            [14.0, 77.0])
     """
     out = (x.conj() * y).sum(axis=axis)
     return out

From 77744cbf4fb92e294455534a31c02fe97ccf7e54 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Fri, 22 Nov 2024 18:46:57 +0800
Subject: [PATCH 17/21] fix

---
 test/legacy_test/test_linalg_vecdot.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/test/legacy_test/test_linalg_vecdot.py b/test/legacy_test/test_linalg_vecdot.py
index 00819e1e7eac5..e42755b8d8a8d 100644
--- a/test/legacy_test/test_linalg_vecdot.py
+++ b/test/legacy_test/test_linalg_vecdot.py
@@ -203,6 +203,10 @@ def test_float32_float64_promotion(self):
         )
 
 
+@unittest.skipIf(
+    core.is_compiled_with_xpu(),
+    "Skip XPU for not support uniform(dtype=int)",
+)
 class VecDotTestCaseTypePromotion2(unittest.TestCase):
     def test_float64_complex64_promotion(self):
         paddle.disable_static()

From 06793f5f40d77ffd582a0c5e790440daf86dff7c Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Mon, 25 Nov 2024 22:23:53 +0800
Subject: [PATCH 18/21] fix

---
 python/paddle/tensor/linalg.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index 13f693d87c93e..6e7bd94269a87 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1898,7 +1898,7 @@ def vecdot(
             >>> result = paddle.linalg.vecdot(x, y)
             >>> print(result)
             Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True,
-            [32.0])
+            32)
 
             >>> x2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
             >>> y2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')

From 0d650790df6f41a9310b3a7577c2aad0cfa547ec Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 26 Nov 2024 14:07:14 +0800
Subject: [PATCH 19/21] fix again

---
 python/paddle/tensor/linalg.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index 6e7bd94269a87..3eeac8651b27f 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1898,7 +1898,7 @@ def vecdot(
             >>> result = paddle.linalg.vecdot(x, y)
             >>> print(result)
             Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True,
-            32)
+            32.)
 
             >>> x2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
             >>> y2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')

From 9e90b9223c99bbfaca076af5d8af472c8d997025 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 26 Nov 2024 15:04:27 +0800
Subject: [PATCH 20/21] change_example

---
 python/paddle/tensor/linalg.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index 3eeac8651b27f..07883f6007e72 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1893,12 +1893,12 @@ def vecdot(
         .. code-block:: python
 
             >>> import paddle
-            >>> x = paddle.to_tensor([1, 2, 3], dtype='float32')
-            >>> y = paddle.to_tensor([4, 5, 6], dtype='float32')
-            >>> result = paddle.linalg.vecdot(x, y)
+            >>> x = paddle.to_tensor([[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype='float32')
+            >>> y = paddle.to_tensor([[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype='float32')
+            >>> result = paddle.linalg.vecdot(x, y, axis=2)
             >>> print(result)
-            Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True,
-            32.)
+            Tensor(shape=[2, 2], dtype=float32, place=Place(cpu), stop_gradient=True,
+            [[ 5.0, 25.0], [61.0, 113.0]])
 
             >>> x2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
             >>> y2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')

From 0690cd1dca6b0dd14efba0dc0e2fd31a532a8252 Mon Sep 17 00:00:00 2001
From: Junjie Zhang <1356732652@qq.com>
Date: Tue, 26 Nov 2024 16:55:11 +0800
Subject: [PATCH 21/21] delete

---
 python/paddle/tensor/linalg.py | 13 +++----------
 1 file changed, 3 insertions(+), 10 deletions(-)

diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py
index 07883f6007e72..e55ffa4eb48b1 100644
--- a/python/paddle/tensor/linalg.py
+++ b/python/paddle/tensor/linalg.py
@@ -1893,17 +1893,10 @@ def vecdot(
         .. code-block:: python
 
             >>> import paddle
-            >>> x = paddle.to_tensor([[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype='float32')
-            >>> y = paddle.to_tensor([[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype='float32')
-            >>> result = paddle.linalg.vecdot(x, y, axis=2)
+            >>> x = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
+            >>> y = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
+            >>> result = paddle.linalg.vecdot(x, y, axis=1)
             >>> print(result)
-            Tensor(shape=[2, 2], dtype=float32, place=Place(cpu), stop_gradient=True,
-            [[ 5.0, 25.0], [61.0, 113.0]])
-
-            >>> x2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
-            >>> y2 = paddle.to_tensor([[1, 2, 3], [4, 5, 6]], dtype='float32')
-            >>> result2 = paddle.linalg.vecdot(x2, y2, axis=1)
-            >>> print(result2)
             Tensor(shape=[2], dtype=float32, place=Place(cpu), stop_gradient=True,
             [14.0, 77.0])
     """