add pad func (#26106)

* add pad func

* add pad

* test=develop, add pad op and apis

* restore pad2d

* test=develop, fix paddl declare

* fix pad interface

* test=develop, fix pad

* test=develop, add all pad api and cos_sim

* test=develop, remove padding default value

* test=develop, rename var to tensor

* test=develop, add more tests

* test=develop, rename tovar to totensor

* test=develop, fix init

* test=develop, add more test

* test=develop, add more tests

python/paddle/fluid/tests/unittests/test_cosine_similarity_api.py

@@ -0,0 +1,121 @@
+#   Copyright (c) 2020 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 unittest
+import numpy as np
+from op_test import OpTest
+import paddle
+import paddle.nn as nn
+import paddle.nn.functional as F
+import paddle.fluid.core as core
+
+from paddle.fluid import Program, program_guard, Executor, default_main_program
+
+
+class TestCosineSimilarityAPI(unittest.TestCase):
+    def setUp(self):
+        self.places = [paddle.CPUPlace()]
+        if core.is_compiled_with_cuda():
+            self.places.append(paddle.CUDAPlace(0))
+
+    def _get_numpy_out(self, x1, x2, dim=1, eps=1e-8):
+        w12 = np.sum(x1 * x2, axis=dim)
+        w1 = np.sum(x1 * x1, axis=dim)
+        w2 = np.sum(x2 * x2, axis=dim)
+        n12 = np.sqrt(np.clip(w1 * w2, eps * eps, None))
+        cos_sim = w12 / n12
+        return cos_sim
+
+    def check_static_result(self, place):
+        paddle.enable_static()
+
+        with program_guard(Program(), Program()):
+            shape = [10, 15]
+            dim = 1
+            eps = 1e-8
+            np.random.seed(0)
+            np_x1 = np.random.rand(*shape).astype(np.float32)
+            np_x2 = np.random.rand(*shape).astype(np.float32)
+
+            x1 = paddle.data(name="x1", shape=shape)
+            x2 = paddle.data(name="x2", shape=shape)
+            result = F.cosine_similarity(x1, x2, dim=dim, eps=eps)
+            exe = Executor(place)
+            fetches = exe.run(default_main_program(),
+                              feed={"x1": np_x1,
+                                    "x2": np_x2},
+                              fetch_list=[result])
+
+            np_out = self._get_numpy_out(np_x1, np_x2, dim=dim, eps=eps)
+            self.assertTrue(np.allclose(fetches[0], np_out))
+
+    def test_static(self):
+        for place in self.places:
+            self.check_static_result(place=place)
+
+    def test_dygraph_1(self):
+        paddle.disable_static()
+
+        shape = [10, 15]
+        dim = 1
+        eps = 1e-8
+        np.random.seed(1)
+        np_x1 = np.random.rand(*shape).astype(np.float32)
+        np_x2 = np.random.rand(*shape).astype(np.float32)
+        np_out = self._get_numpy_out(np_x1, np_x2, dim=dim, eps=eps)
+
+        tesnor_x1 = paddle.to_variable(np_x1)
+        tesnor_x2 = paddle.to_variable(np_x2)
+        y = F.cosine_similarity(tesnor_x1, tesnor_x2, dim=dim, eps=eps)
+
+        self.assertTrue(np.allclose(y.numpy(), np_out))
+
+    def test_dygraph_2(self):
+        paddle.disable_static()
+
+        shape = [12, 13]
+        dim = 0
+        eps = 1e-6
+        np.random.seed(1)
+        np_x1 = np.random.rand(*shape).astype(np.float32)
+        np_x2 = np.random.rand(*shape).astype(np.float32)
+        np_out = self._get_numpy_out(np_x1, np_x2, dim=dim, eps=eps)
+
+        tesnor_x1 = paddle.to_variable(np_x1)
+        tesnor_x2 = paddle.to_variable(np_x2)
+        y = F.cosine_similarity(tesnor_x1, tesnor_x2, dim=dim, eps=eps)
+
+        self.assertTrue(np.allclose(y.numpy(), np_out))
+
+    def test_dygraph_3(self):
+        paddle.disable_static()
+
+        shape1 = [10, 12, 10]
+        shape2 = [10, 1, 10]
+        dim = 2
+        eps = 1e-6
+        np.random.seed(1)
+        np_x1 = np.random.rand(*shape1).astype(np.float32)
+        np_x2 = np.random.rand(*shape2).astype(np.float32)
+        np_out = self._get_numpy_out(np_x1, np_x2, dim=dim, eps=eps)
+
+        tesnor_x1 = paddle.to_variable(np_x1)
+        tesnor_x2 = paddle.to_variable(np_x2)
+        y = F.cosine_similarity(tesnor_x1, tesnor_x2, dim=dim, eps=eps)
+
+        self.assertTrue(np.allclose(y.numpy(), np_out))
+
+
+if __name__ == '__main__':
+    unittest.main()

python/paddle/nn/__init__.py

@@ -65,6 +65,16 @@ from .layer.activation import HSigmoid  #DEFINE_ALIAS
 from .layer.common import BilinearTensorProduct  #DEFINE_ALIAS
 from .layer.common import Pool2D  #DEFINE_ALIAS
 from .layer.common import Pad2D  #DEFINE_ALIAS
+from .layer.common import ReflectionPad1d  #DEFINE_ALIAS
+from .layer.common import ReplicationPad1d  #DEFINE_ALIAS
+from .layer.common import ConstantPad1d  #DEFINE_ALIAS
+from .layer.common import ReflectionPad2d  #DEFINE_ALIAS
+from .layer.common import ReplicationPad2d  #DEFINE_ALIAS
+from .layer.common import ConstantPad2d  #DEFINE_ALIAS
+from .layer.common import ZeroPad2d  #DEFINE_ALIAS
+from .layer.common import ReplicationPad3d  #DEFINE_ALIAS
+from .layer.common import ConstantPad3d  #DEFINE_ALIAS
+from .layer.common import CosineSimilarity  #DEFINE_ALIAS
 from .layer.common import Embedding  #DEFINE_ALIAS
 from .layer.common import Linear  #DEFINE_ALIAS
 from .layer.common import Flatten  #DEFINE_ALIAS

python/paddle/nn/functional/__init__.py

@@ -58,6 +58,7 @@ from .common import one_hot  #DEFINE_ALIAS
 from .common import pad  #DEFINE_ALIAS
 from .common import pad_constant_like  #DEFINE_ALIAS
 from .common import pad2d  #DEFINE_ALIAS
+from .common import cosine_similarity  #DEFINE_ALIAS
 from .common import unfold  #DEFINE_ALIAS
 # from .common import bilinear_tensor_product        #DEFINE_ALIAS
 from .common import assign  #DEFINE_ALIAS

python/paddle/nn/layer/__init__.py

@@ -38,6 +38,16 @@ from .activation import HSigmoid  #DEFINE_ALIAS
 from .common import BilinearTensorProduct  #DEFINE_ALIAS
 from .common import Pool2D  #DEFINE_ALIAS
 from .common import Pad2D  #DEFINE_ALIAS
+from .common import ReflectionPad1d  #DEFINE_ALIAS
+from .common import ReplicationPad1d  #DEFINE_ALIAS
+from .common import ConstantPad1d  #DEFINE_ALIAS
+from .common import ReflectionPad2d  #DEFINE_ALIAS
+from .common import ReplicationPad2d  #DEFINE_ALIAS
+from .common import ConstantPad2d  #DEFINE_ALIAS
+from .common import ZeroPad2d  #DEFINE_ALIAS
+from .common import ReplicationPad3d  #DEFINE_ALIAS
+from .common import ConstantPad3d  #DEFINE_ALIAS
+from .common import CosineSimilarity  #DEFINE_ALIAS
 from .common import Embedding  #DEFINE_ALIAS
 from .common import Linear  #DEFINE_ALIAS
 from .common import Flatten  #DEFINE_ALIAS

python/paddle/tensor/__init__.py

@@ -111,6 +111,7 @@ from .math import cumsum  #DEFINE_ALIAS
 from .math import elementwise_add  #DEFINE_ALIAS
 from .math import elementwise_div  #DEFINE_ALIAS
 from .math import elementwise_floordiv  #DEFINE_ALIAS
+from .math import elementwise_mul  #DEFINE_ALIAS
 from .math import elementwise_mod  #DEFINE_ALIAS
 from .math import elementwise_pow  #DEFINE_ALIAS
 from .math import elementwise_sub  #DEFINE_ALIAS