added missing test file

python/paddle/fluid/tests/unittests/mkldnn/test_expand_v2_mkldnn_op.py

@@ -0,0 +1,103 @@
+#   Copyright (c) 2021 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.
+
+from __future__ import print_function
+import unittest
+import numpy as np
+import paddle
+import paddle.fluid as fluid
+from paddle.fluid import compiler, Program, program_guard, core
+from paddle.fluid.tests.unittests.op_test import OpTest, OpTestTool, convert_float_to_uint16
+
+
+class TestExpandV2OneDNNOp(OpTest):
+    def setUp(self):
+        self.op_type = "expand_v2"
+        self.init_data()
+        self.x = np.random.random(self.ori_shape).astype("float32")
+        self.set_inputs()
+        self.attrs = {'shape': self.shape, 'use_mkldnn': True}
+        output = np.tile(self.inputs['X'], self.expand_times)
+        self.outputs = {'Out': output}
+
+    def set_inputs(self):
+        self.inputs = {'X': self.x}
+
+    def init_data(self):
+        self.ori_shape = [1, 140]
+        self.shape = [12, 140]
+        self.expand_times = [12, 1]
+
+    def test_check_output(self):
+        self.check_output_with_place(core.CPUPlace())
+
+    def test_check_grad(self):
+        self.check_grad_with_place(core.CPUPlace(), ["X"], "Out")
+
+
+class TestExpandV2ExpandDimOneDNNOp(TestExpandV2OneDNNOp):
+    def init_data(self):
+        self.ori_shape = [120]
+        self.shape = [2, 120]
+        self.expand_times = [2, 1]
+
+class TestExpandV2CopyScenarioOneDNNOp(TestExpandV2OneDNNOp):
+    def init_data(self):
+        self.ori_shape = (2, 10, 5)
+        self.shape = (2, 10, 5)
+        self.expand_times = (1, 1, 1)
+
+class TestExpandV2CopyScenarioShapeNotGivenOneDNNOp(TestExpandV2OneDNNOp):
+    def init_data(self):
+        self.ori_shape = (2, 4, 5, 7)
+        self.shape = (-1, -1, -1, -1)
+        self.expand_times = (1, 1, 1, 1)
+
+
+#   BF16 TESTS
+def create_expand_v2_bf16_test_class(parent):
+    @OpTestTool.skip_if_not_cpu_bf16()
+    class TestExpandV2BF16OneDNNOp(parent):
+        def set_inputs(self):
+            self.inputs = {"X": convert_float_to_uint16(self.x)}
+
+        def calculate_grads(self):
+            self.dout = self.outputs['Out']
+            self.dx = self.dout.copy()
+
+            for i in range (len(self.shape)):
+                if self.expand_times[i] != 1:
+                    self.dx = np.sum(self.dx, axis=i, keepdims=True)
+
+        def test_check_grad(self):
+            self.calculate_grads()
+            self.check_grad_with_place(
+                core.CPUPlace(), ["X"],
+                "Out",
+                user_defined_grads=[convert_float_to_uint16(self.dx)],
+                user_defined_grad_outputs=[convert_float_to_uint16(self.dout)])
+
+    cls_name = "{0}_{1}".format(parent.__name__, "Expand_v2_BF16")
+    TestExpandV2BF16OneDNNOp.__name__ = cls_name
+    globals()[cls_name] = TestExpandV2BF16OneDNNOp
+
+
+create_expand_v2_bf16_test_class(TestExpandV2OneDNNOp)
+create_expand_v2_bf16_test_class(TestExpandV2ExpandDimOneDNNOp)
+create_expand_v2_bf16_test_class(TestExpandV2CopyScenarioOneDNNOp)
+create_expand_v2_bf16_test_class(TestExpandV2CopyScenarioShapeNotGivenOneDNNOp)
+
+if __name__ == '__main__':
+    paddle.enable_static()
+    unittest.main()