fix conv2d_transpose op unittest (#21927)

python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_transpose_mkldnn_op.py

@@ -60,8 +60,10 @@ class TestConv2dTransposeMKLDNNOp(TestConv2dTransposeOp):
         f_c = self.input_size[1]
         self.filter_size = [f_c, 6, 3, 3]
         self.groups = 1
+        self.dtype = np.float32
 
     def setUp(self):
+
         TestConv2dTransposeOp.setUp(self)
 
         output = self.outputs['Output']

python/paddle/fluid/tests/unittests/test_conv2d_transpose_op.py

@@ -78,7 +78,7 @@ def conv2dtranspose_forward_naive(input_, filter_, attrs):
         out_h = output_size[0] + pad_h_0 + pad_h_1
         out_w = output_size[1] + pad_w_0 + pad_w_1
 
-    out = np.zeros((in_n, out_c, out_h, out_w))
+    out = np.zeros((in_n, out_c, out_h, out_w), dtype=input_.dtype)
 
     for n in range(in_n):
         for i in range(in_h):
@@ -108,7 +108,7 @@ def conv2dtranspose_forward_naive(input_, filter_, attrs):
 class TestConv2dTransposeOp(OpTest):
     def setUp(self):
         # init as conv transpose
-        self.dtype = np.float32
+        self.dtype = np.float64
         self.is_test = False
         self.use_cudnn = False
         self.use_mkldnn = False
@@ -119,8 +119,8 @@ class TestConv2dTransposeOp(OpTest):
         self.init_op_type()
         self.init_test_case()
 
-        input_ = np.random.random(self.input_size).astype("float32")
-        filter_ = np.random.random(self.filter_size).astype("float32")
+        input_ = np.random.random(self.input_size).astype(self.dtype)
+        filter_ = np.random.random(self.filter_size).astype(self.dtype)
 
         self.inputs = {'Input': input_, 'Filter': filter_}
         self.attrs = {
@@ -138,7 +138,7 @@ class TestConv2dTransposeOp(OpTest):
             self.attrs['output_size'] = self.output_size
 
         output = conv2dtranspose_forward_naive(input_, filter_,
-                                               self.attrs).astype('float32')
+                                               self.attrs).astype(self.dtype)
 
         self.outputs = {'Output': output}