MKLDNN elementwise_mul: Add UTs

Author: Sand3r-

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

@@ -49,7 +49,37 @@ def test_check_grad_ingore_x(self):
     def test_check_grad_ingore_y(self):
         pass
 
-class TestElementwiseMulMKLDNNOp_UnsupportedFormat(ElementwiseMulOp):
+@unittest.skip("Not implemented yet.")
+class TestElementwiseMulMKLDNNOp_BroadcastNCHW8c(ElementwiseMulOp):
+    def init_input_output(self):
+        x = np.random.rand(1, 8, 2, 2).astype(self.dtype)
+        self.x = x.transpose(0, 2, 3, 1).reshape(1, 8, 2, 2)
+        self.y = np.random.rand(1, 8).astype(self.dtype)
+
+        self.out = x * self.y.reshape(1, 8, 1, 1)
+        self.out = self.out.transpose(0, 2, 3, 1).reshape(1, 8, 2, 2)
+
+    def setUp(self):
+        super(TestElementwiseMulMKLDNNOp_BroadcastNCHW8c, self).setUp()
+        self.attrs["x_data_format"] = "nchw8c"
+        self.attrs["y_data_format"] = "nc"
+
+    def init_kernel_type(self):
+        self.use_mkldnn = True
+
+    def init_axis(self):
+        self.axis = 0
+
+    def test_check_grad_normal(self):
+        pass
+
+    def test_check_grad_ingore_x(self):
+        pass
+
+    def test_check_grad_ingore_y(self):
+        pass
+
+class TestElementwiseMulMKLDNNOp_FallbackNCHW(ElementwiseMulOp):
     def init_input_output(self):
         self.x = np.random.rand(1, 16, 2, 2).astype(self.dtype)
         self.y = np.random.rand(1, 16).astype(self.dtype)
@@ -71,5 +101,92 @@ def test_check_grad_ingore_x(self):
     def test_check_grad_ingore_y(self):
         pass
 
+class TestElementwiseMulMKLDNNOp_FallbackNCHW16C(ElementwiseMulOp):
+    def init_input_output(self):
+        x = np.random.rand(1, 16, 2, 2).astype(self.dtype)
+        self.x = x.transpose(0, 2, 3, 1).reshape(1, 16, 2, 2)
+        y = np.random.rand(1, 16, 2, 2).astype(self.dtype)
+        self.y = y.transpose(0, 2, 3, 1).reshape(1, 16, 2, 2)
+
+        self.out = self.x * self.y
+
+    def setUp(self):
+        super(TestElementwiseMulMKLDNNOp_FallbackNCHW16C, self).setUp()
+        self.attrs["x_data_format"] = "nchw16c"
+        self.attrs["y_data_format"] = "nchw16c"
+
+    def init_kernel_type(self):
+        self.use_mkldnn = True
+
+    def init_axis(self):
+        self.axis = 0
+
+    def test_check_grad_normal(self):
+        pass
+
+    def test_check_grad_ingore_x(self):
+        pass
+
+    def test_check_grad_ingore_y(self):
+        pass
+
+class TestElementwiseMulMKLDNNOp_FallbackNoReorders(ElementwiseMulOp):
+    def init_input_output(self):
+        x = np.random.rand(1, 16, 2, 2).astype(self.dtype)
+        self.x = x.transpose(0, 2, 3, 1).reshape(1, 16, 2, 2)
+        y = np.random.rand(1, 16, 2, 2).astype(self.dtype)
+        self.y = y.transpose(0, 2, 3, 1).reshape(1, 16, 2, 2)
+
+        self.out = self.x * self.y
+
+    def setUp(self):
+        super(TestElementwiseMulMKLDNNOp_FallbackNoReorders, self).setUp()
+        self.attrs["x_data_format"] = "nchw16c"
+        self.attrs["y_data_format"] = "nchw16c"
+
+    def init_kernel_type(self):
+        self.use_mkldnn = True
+
+    def init_axis(self):
+        self.axis = 0
+
+    def test_check_grad_normal(self):
+        pass
+
+    def test_check_grad_ingore_x(self):
+        pass
+
+    def test_check_grad_ingore_y(self):
+        pass
+
+@unittest.skip("Not implemented yet.")
+class TestElementwiseMulMKLDNNOp_FallbackWithReorder(ElementwiseMulOp):
+    def init_input_output(self):
+        self.x = np.random.rand(1, 16, 2, 2).astype(self.dtype)
+        y = np.random.rand(1, 16, 2, 2).astype(self.dtype)
+        self.y = y.transpose(0, 2, 3, 1).reshape(1, 16, 2, 2)
+
+        self.out = self.x * y
+
+    def setUp(self):
+        super(TestElementwiseMulMKLDNNOp_FallbackNCHW16C, self).setUp()
+        self.attrs["x_data_format"] = "nchw"
+        self.attrs["y_data_format"] = "nchw16c"
+
+    def init_kernel_type(self):
+        self.use_mkldnn = True
+
+    def init_axis(self):
+        self.axis = 0
+
+    def test_check_grad_normal(self):
+        pass
+
+    def test_check_grad_ingore_x(self):
+        pass
+
+    def test_check_grad_ingore_y(self):
+        pass
+
 if __name__ == '__main__':
     unittest.main()