move conv2d_transpose and conv3d_transpose (#48198)

python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_conv_bias_fuse_pass.py

@@ -15,6 +15,7 @@
 import unittest
 import numpy as np
 from inference_pass_test import InferencePassTest
+import paddle
 import paddle.fluid as fluid
 from paddle.fluid.core import PassVersionChecker
 
@@ -173,7 +174,7 @@ class ConvTransposeMkldnnFusePassDialtionsGroupsTest(InferencePassTest):
                 initializer=fluid.initializer.Xavier(uniform=False),
                 learning_rate=0.001,
             )
-            conv_out = fluid.layers.conv2d_transpose(
+            conv_out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 num_filters=3,
                 filter_size=3,

python/paddle/fluid/tests/unittests/ir/inference/test_trt_conv3d_transpose_op.py

@@ -15,6 +15,7 @@
 import unittest
 import numpy as np
 from inference_pass_test import InferencePassTest
+import paddle
 import paddle.fluid as fluid
 import paddle.fluid.core as core
 from paddle.fluid.core import PassVersionChecker
@@ -28,7 +29,7 @@ class TensorRTSubgraphPassConv3dTransposeTest(InferencePassTest):
             data = fluid.data(
                 name="data", shape=[-1, 4, 4, 32, 32], dtype="float32"
             )
-            conv_out = fluid.layers.conv3d_transpose(
+            conv_out = paddle.static.nn.conv3d_transpose(
                 input=data,
                 num_filters=self.conv_num_filters,
                 filter_size=self.conv_filter_size,
@@ -95,7 +96,7 @@ class DynamicShapeTensorRTSubgraphPassConv3dTransposeTest(InferencePassTest):
             data = fluid.data(
                 name="data", shape=[-1, 6, -1, -1, -1], dtype="float32"
             )
-            conv_out = fluid.layers.conv3d_transpose(
+            conv_out = paddle.static.nn.conv3d_transpose(
                 input=data,
                 num_filters=self.conv_num_filters,
                 filter_size=self.conv_filter_size,

python/paddle/fluid/tests/unittests/ir/inference/test_trt_conv_pass.py

@@ -16,6 +16,7 @@ import os
 import unittest
 import numpy as np
 from inference_pass_test import InferencePassTest
+import paddle
 import paddle.fluid as fluid
 import paddle.fluid.core as core
 from paddle.fluid.core import PassVersionChecker
@@ -109,7 +110,7 @@ class TensorRTSubgraphPassConvTransposeTest(InferencePassTest):
             data = fluid.data(
                 name="data", shape=[-1, 6, 64, 64], dtype="float32"
             )
-            conv_out = fluid.layers.conv2d_transpose(
+            conv_out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 num_filters=self.conv_num_filters,
                 filter_size=self.conv_filter_size,

python/paddle/fluid/tests/unittests/ir/inference/test_trt_conv_quant_dequant_pass.py

@@ -237,7 +237,7 @@ class QuantDequantTensorRTSubgraphPassConvTransposeTest(QuantDequantTest):
             data_reshape = paddle.reshape(self.data, shape=[1, 4, 14, 14])
             self.label = fluid.data(name='label', shape=[1, 1], dtype='int64')
             label_shape = paddle.reshape(self.label, shape=[1, 1, 1])
-            conv_out = fluid.layers.conv2d_transpose(
+            conv_out = paddle.static.nn.conv2d_transpose(
                 input=data_reshape,
                 num_filters=self.conv_num_filters,
                 filter_size=self.conv_filter_size,

python/paddle/fluid/tests/unittests/mlu/test_conv2d_transposed_op_mlu.py

@@ -499,21 +499,21 @@ class TestConv2DTransposeAPI(unittest.TestCase):
         data2 = fluid.layers.data(
             name='data2', shape=[5, 5, 3], dtype='float32'
         )
-        out1 = fluid.layers.conv2d_transpose(
+        out1 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
             filter_size=3,
             data_format='NCHW',
         )
-        out2 = fluid.layers.conv2d_transpose(
+        out2 = paddle.static.nn.conv2d_transpose(
             input=data2,
             groups=1,
             num_filters=6,
             filter_size=3,
             data_format='NHWC',
         )
-        out3 = fluid.layers.conv2d_transpose(
+        out3 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
@@ -521,7 +521,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding=[[0, 0], [1, 1], [1, 1], [0, 0]],
             data_format='NHWC',
         )
-        out4 = fluid.layers.conv2d_transpose(
+        out4 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=3,
             num_filters=6,
@@ -529,7 +529,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding=[[0, 0], [0, 0], [2, 1], [0, 0]],
             data_format='NCHW',
         )
-        out5 = fluid.layers.conv2d_transpose(
+        out5 = paddle.static.nn.conv2d_transpose(
             input=data2,
             groups=1,
             num_filters=6,
@@ -537,7 +537,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding='SAME',
             data_format='NCHW',
         )
-        out6 = fluid.layers.conv2d_transpose(
+        out6 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
@@ -545,7 +545,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding='VALID',
             data_format='NHWC',
         )
-        out7 = fluid.layers.conv2d_transpose(
+        out7 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
@@ -586,7 +586,7 @@ class TestConv2DTransposeOpException(unittest.TestCase):
         data = fluid.layers.data(name='data', shape=[3, 5, 5], dtype="float32")
 
         def attr_data_format():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -597,7 +597,7 @@ class TestConv2DTransposeOpException(unittest.TestCase):
         self.assertRaises(ValueError, attr_data_format)
 
         def attr_padding_str():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -608,7 +608,7 @@ class TestConv2DTransposeOpException(unittest.TestCase):
         self.assertRaises(ValueError, attr_padding_str)
 
         def attr_padding_list():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -619,7 +619,7 @@ class TestConv2DTransposeOpException(unittest.TestCase):
         self.assertRaises(ValueError, attr_padding_list)
 
         def attr_padding_with_data_format():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -635,14 +635,14 @@ class TestConv2DTransposeOpException(unittest.TestCase):
         )
 
         def error_input_size():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=error_input, groups=1, num_filters=6, filter_size=3
             )
 
         self.assertRaises(ValueError, error_input_size)
 
         def error_groups():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=0,
                 num_filters=6,

python/paddle/fluid/tests/unittests/npu/test_conv2d_transpose_op_npu.py

@@ -435,21 +435,21 @@ class TestConv2DTransposeAPI(unittest.TestCase):
         data2 = fluid.layers.data(
             name='data2', shape=[5, 5, 3], dtype='float32'
         )
-        out1 = fluid.layers.conv2d_transpose(
+        out1 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
             filter_size=3,
             data_format='NCHW',
         )
-        out2 = fluid.layers.conv2d_transpose(
+        out2 = paddle.static.nn.conv2d_transpose(
             input=data2,
             groups=1,
             num_filters=6,
             filter_size=3,
             data_format='NHWC',
         )
-        out3 = fluid.layers.conv2d_transpose(
+        out3 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
@@ -457,7 +457,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding=[[0, 0], [1, 1], [1, 1], [0, 0]],
             data_format='NHWC',
         )
-        out4 = fluid.layers.conv2d_transpose(
+        out4 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=3,
             num_filters=6,
@@ -465,7 +465,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding=[[0, 0], [0, 0], [2, 1], [0, 0]],
             data_format='NCHW',
         )
-        out5 = fluid.layers.conv2d_transpose(
+        out5 = paddle.static.nn.conv2d_transpose(
             input=data2,
             groups=1,
             num_filters=6,
@@ -473,7 +473,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding='SAME',
             data_format='NCHW',
         )
-        out6 = fluid.layers.conv2d_transpose(
+        out6 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
@@ -481,7 +481,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding='VALID',
             data_format='NHWC',
         )
-        out7 = fluid.layers.conv2d_transpose(
+        out7 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,

python/paddle/fluid/tests/unittests/test_conv2d_transpose_layer.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 
 import numpy as np
+import paddle
 from paddle import fluid, nn
 import paddle.fluid.dygraph as dg
 import paddle.nn.functional as F
@@ -104,7 +105,7 @@ class Conv2DTransposeTestCase(unittest.TestCase):
                 else:
                     bias_attr = I.NumpyArrayInitializer(self.bias)
 
-                y_var = fluid.layers.conv2d_transpose(
+                y_var = paddle.static.nn.conv2d_transpose(
                     x_var,
                     self.num_filters,
                     filter_size=self.filter_size,

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

@@ -835,21 +835,21 @@ class TestConv2DTransposeAPI(unittest.TestCase):
         data2 = fluid.layers.data(
             name='data2', shape=[5, 5, 3], dtype='float32'
         )
-        out1 = fluid.layers.conv2d_transpose(
+        out1 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
             filter_size=3,
             data_format='NCHW',
         )
-        out2 = fluid.layers.conv2d_transpose(
+        out2 = paddle.static.nn.conv2d_transpose(
             input=data2,
             groups=1,
             num_filters=6,
             filter_size=3,
             data_format='NHWC',
         )
-        out3 = fluid.layers.conv2d_transpose(
+        out3 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
@@ -857,7 +857,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding=[[0, 0], [1, 1], [1, 1], [0, 0]],
             data_format='NHWC',
         )
-        out4 = fluid.layers.conv2d_transpose(
+        out4 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=3,
             num_filters=6,
@@ -865,7 +865,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding=[[0, 0], [0, 0], [2, 1], [0, 0]],
             data_format='NCHW',
         )
-        out5 = fluid.layers.conv2d_transpose(
+        out5 = paddle.static.nn.conv2d_transpose(
             input=data2,
             groups=1,
             num_filters=6,
@@ -873,7 +873,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding='SAME',
             data_format='NCHW',
         )
-        out6 = fluid.layers.conv2d_transpose(
+        out6 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
@@ -881,7 +881,7 @@ class TestConv2DTransposeAPI(unittest.TestCase):
             padding='VALID',
             data_format='NHWC',
         )
-        out7 = fluid.layers.conv2d_transpose(
+        out7 = paddle.static.nn.conv2d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
@@ -919,7 +919,7 @@ class TestConv2DTransposeOpException(unittest.TestCase):
         data = fluid.layers.data(name='data', shape=[3, 5, 5], dtype="float32")
 
         def attr_data_format():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -930,7 +930,7 @@ class TestConv2DTransposeOpException(unittest.TestCase):
         self.assertRaises(ValueError, attr_data_format)
 
         def attr_padding_str():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -941,7 +941,7 @@ class TestConv2DTransposeOpException(unittest.TestCase):
         self.assertRaises(ValueError, attr_padding_str)
 
         def attr_padding_list():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -952,7 +952,7 @@ class TestConv2DTransposeOpException(unittest.TestCase):
         self.assertRaises(ValueError, attr_padding_list)
 
         def attr_padding_with_data_format():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -968,14 +968,14 @@ class TestConv2DTransposeOpException(unittest.TestCase):
         )
 
         def error_input_size():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=error_input, groups=1, num_filters=6, filter_size=3
             )
 
         self.assertRaises(ValueError, error_input_size)
 
         def error_groups():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=0,
                 num_filters=6,
@@ -1064,7 +1064,7 @@ class TestTensorOutputSize3(TestTensorOutputSize1):
     def call_func(self, x):
         w_var = paddle.randn((3, 6, 3, 3), dtype='float32')
         output_size = paddle.assign([17])
-        out = paddle.fluid.layers.conv2d_transpose(
+        out = paddle.static.nn.conv2d_transpose(
             x, num_filters=6, output_size=output_size, filter_size=3, stride=2
         )
         return out
@@ -1076,7 +1076,7 @@ class TestTensorOutputSize4(TestTensorOutputSize1):
 
     def call_func(self, x):
         output_size = [17, paddle.assign([17])]
-        out = paddle.fluid.layers.conv2d_transpose(
+        out = paddle.static.nn.conv2d_transpose(
             x, num_filters=6, output_size=output_size, filter_size=3, stride=2
         )
         return out

python/paddle/fluid/tests/unittests/test_conv3d_transpose_layer.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 
 import numpy as np
+import paddle
 from paddle import fluid, nn
 import paddle.fluid.dygraph as dg
 import paddle.nn.functional as F
@@ -101,7 +102,7 @@ class Conv3DTransposeTestCase(unittest.TestCase):
                     bias_attr = False
                 else:
                     bias_attr = I.NumpyArrayInitializer(self.bias)
-                y_var = fluid.layers.conv3d_transpose(
+                y_var = paddle.static.nn.conv3d_transpose(
                     x_var,
                     self.num_filters,
                     filter_size=self.filter_size,

python/paddle/fluid/tests/unittests/test_conv3d_transpose_part2_op.py

@@ -15,6 +15,7 @@
 import unittest
 import numpy as np
 
+import paddle
 import paddle.fluid.core as core
 import paddle.fluid as fluid
 from test_conv3d_transpose_op import TestConv3DTransposeOp
@@ -91,21 +92,21 @@ class TestConv3DTransposeAPI(unittest.TestCase):
             name='data2', shape=[5, 5, 5, 3], dtype='float32'
         )
 
-        out1 = fluid.layers.conv3d_transpose(
+        out1 = paddle.static.nn.conv3d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
             filter_size=3,
             data_format='NCDHW',
         )
-        out2 = fluid.layers.conv3d_transpose(
+        out2 = paddle.static.nn.conv3d_transpose(
             input=data2,
             groups=1,
             num_filters=6,
             filter_size=3,
             data_format='NDHWC',
         )
-        out3 = fluid.layers.conv3d_transpose(
+        out3 = paddle.static.nn.conv3d_transpose(
             input=data1,
             groups=1,
             num_filters=6,
@@ -113,7 +114,7 @@ class TestConv3DTransposeAPI(unittest.TestCase):
             padding=[[0, 0], [0, 0], [1, 1], [0, 0], [1, 1]],
             data_format='NCDHW',
         )
-        out4 = fluid.layers.conv3d_transpose(
+        out4 = paddle.static.nn.conv3d_transpose(
             input=data2,
             groups=3,
             num_filters=6,
@@ -121,7 +122,7 @@ class TestConv3DTransposeAPI(unittest.TestCase):
             padding=[[0, 0], [0, 0], [1, 1], [1, 2], [0, 0]],
             data_format='NDHWC',
         )
-        out5 = fluid.layers.conv3d_transpose(
+        out5 = paddle.static.nn.conv3d_transpose(
             input=data2,
             groups=1,
             num_filters=6,
@@ -129,7 +130,7 @@ class TestConv3DTransposeAPI(unittest.TestCase):
             padding='SAME',
             data_format='NCDHW',
         )
-        out6 = fluid.layers.conv3d_transpose(
+        out6 = paddle.static.nn.conv3d_transpose(
             input=data2,
             groups=1,
             num_filters=6,
@@ -137,7 +138,7 @@ class TestConv3DTransposeAPI(unittest.TestCase):
             padding='VALID',
             data_format='NDHWC',
         )
-        out7 = fluid.layers.conv3d_transpose(
+        out7 = paddle.static.nn.conv3d_transpose(
             input=data2,
             groups=1,
             num_filters=6,
@@ -177,7 +178,7 @@ class TestConv3DTransposeOpException(unittest.TestCase):
         )
 
         def attr_data_format():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -188,7 +189,7 @@ class TestConv3DTransposeOpException(unittest.TestCase):
         self.assertRaises(ValueError, attr_data_format)
 
         def attr_padding_str():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -199,7 +200,7 @@ class TestConv3DTransposeOpException(unittest.TestCase):
         self.assertRaises(ValueError, attr_padding_str)
 
         def attr_padding_list():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,
@@ -210,7 +211,7 @@ class TestConv3DTransposeOpException(unittest.TestCase):
         self.assertRaises(ValueError, attr_padding_list)
 
         def attr_padding_with_data_format():
-            out = fluid.layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=data,
                 groups=1,
                 num_filters=6,

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

@@ -36,7 +36,7 @@ class TestConvTransposeDoubleGradCheck(unittest.TestCase):
         if core.is_compiled_with_rocm():
             dtype = np.float32
         x = layers.data('x', shape, False, dtype)
-        y = layers.conv2d_transpose(
+        y = paddle.static.nn.conv2d_transpose(
             x, 2, filter_size=1, groups=1, bias_attr=False
         )
         x_arr = np.random.uniform(-1, 1, shape).astype(dtype)
@@ -92,7 +92,7 @@ class TestConvTranspose2DoubleGradCheck_AsyPadding(
         if core.is_compiled_with_rocm():
             dtype = np.float32
         x = layers.data('x', shape, False, dtype)
-        y = layers.conv2d_transpose(
+        y = paddle.static.nn.conv2d_transpose(
             input=x,
             num_filters=2,
             filter_size=1,
@@ -145,7 +145,7 @@ class TestConvTranspose2DoubleGradCheck_PaddingSAME(
         if core.is_compiled_with_rocm():
             dtype = np.float32
         x = layers.data('x', shape, False, dtype)
-        y = layers.conv2d_transpose(
+        y = paddle.static.nn.conv2d_transpose(
             input=x,
             num_filters=2,
             filter_size=1,
@@ -198,7 +198,7 @@ class TestConvTranspose2DoubleGradCheck_PaddingVALID(
         if core.is_compiled_with_rocm():
             dtype = np.float32
         x = layers.data('x', shape, False, dtype)
-        y = layers.conv2d_transpose(
+        y = paddle.static.nn.conv2d_transpose(
             input=x,
             num_filters=2,
             filter_size=1,
@@ -251,7 +251,7 @@ class TestConvTranspose2DoubleGradCheck_ChannelLast(
         if core.is_compiled_with_rocm():
             dtype = np.float32
         x = layers.data('x', shape, False, dtype)
-        y = layers.conv2d_transpose(
+        y = paddle.static.nn.conv2d_transpose(
             input=x,
             num_filters=2,
             filter_size=1,

python/paddle/fluid/tests/unittests/test_functional_conv2d_transpose.py

@@ -89,7 +89,7 @@ class TestFunctionalConv2D(TestCase):
                         (-1, self.in_channels, -1, -1),
                         dtype=self.dtype,
                     )
-                y = fluid.layers.conv2d_transpose(
+                y = paddle.static.nn.conv2d_transpose(
                     x,
                     self.out_channels,
                     output_size=self.output_size,

python/paddle/fluid/tests/unittests/test_functional_conv3d_transpose.py

@@ -89,7 +89,7 @@ class TestFunctionalConv3DTranspose(TestCase):
                         (-1, self.in_channels, -1, -1, -1),
                         dtype=self.dtype,
                     )
-                y = fluid.layers.conv3d_transpose(
+                y = paddle.static.nn.conv3d_transpose(
                     x,
                     self.out_channels,
                     output_size=self.output_size,
@@ -550,7 +550,7 @@ class TestFunctionalConv3DTransposeErrorCase10(TestCase):
         with fluid.unique_name.guard():
             with fluid.program_guard(main, start):
                 x = fluid.data("input", self.input.shape, dtype=paddle.float32)
-                y = fluid.layers.conv3d_transpose(
+                y = paddle.static.nn.conv3d_transpose(
                     x,
                     self.num_filters,
                     self.filter_size,

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

@@ -103,20 +103,20 @@ class TestDygraphLoadStatic(unittest.TestCase):
             name="conv2d_trans_in", shape=[None, 10, 10, 10]
         )
 
-        conv2d_trans_out_1 = fluid.layers.conv2d_transpose(
+        conv2d_trans_out_1 = paddle.static.nn.conv2d_transpose(
             conv2d_trans_in, num_filters=10, filter_size=5, act="relu"
         )
-        conv2d_trans_out_2 = fluid.layers.conv2d_transpose(
+        conv2d_trans_out_2 = paddle.static.nn.conv2d_transpose(
             conv2d_trans_in, num_filters=10, filter_size=5, act="relu"
         )
 
         conv3d_trans_in = fluid.data(
             name='conv3d_trans_in', shape=[None, 3, 12, 32, 32], dtype='float32'
         )
-        conv3d_trans_out_1 = fluid.layers.conv3d_transpose(
+        conv3d_trans_out_1 = paddle.static.nn.conv3d_transpose(
             input=conv3d_trans_in, num_filters=2, filter_size=3, act="relu"
         )
-        conv3d_trans_out_2 = fluid.layers.conv3d_transpose(
+        conv3d_trans_out_2 = paddle.static.nn.conv3d_transpose(
             input=conv3d_trans_in, num_filters=2, filter_size=3, act="relu"
         )
 

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

@@ -716,7 +716,7 @@ class TestLayer(LayerTest):
         inp_np = np.arange(0, 24).reshape([2, 3, 2, 2]).astype('float32')
         with self.static_graph():
             img = layers.data(name='pixel', shape=[3, 2, 2], dtype='float32')
-            out = layers.conv2d_transpose(
+            out = paddle.static.nn.conv2d_transpose(
                 input=img,
                 num_filters=10,
                 filter_size=27,
@@ -2270,7 +2270,7 @@ class TestLayer(LayerTest):
 
         with self.static_graph():
             img = layers.data(name='pixel', shape=[3, 2, 2, 2], dtype='float32')
-            out = layers.conv3d_transpose(
+            out = paddle.static.nn.conv3d_transpose(
                 input=img, num_filters=12, filter_size=12, use_cudnn=False
             )
             static_rlt = self.get_static_graph_result(
@@ -3062,7 +3062,7 @@ class TestBook(LayerTest):
             fluid.default_main_program(), fluid.default_startup_program()
         ):
             img = self._get_data(name='pixel', shape=[3, 2, 2], dtype='float32')
-            return layers.conv2d_transpose(
+            return paddle.static.nn.conv2d_transpose(
                 input=img, num_filters=10, output_size=28
             )
 

python/paddle/static/nn/__init__.py

@@ -14,15 +14,15 @@
 
 from .common import fc  # noqa: F401
 from .common import deform_conv2d  # noqa: F401
+from .common import conv2d_transpose  # noqa: F401
+from .common import conv3d_transpose  # noqa: F401
 
 from ...fluid.layers import batch_norm  # noqa: F401
 from ...fluid.layers import bilinear_tensor_product  # noqa: F401
 from ...fluid.layers import case  # noqa: F401
 from ...fluid.layers import cond  # noqa: F401
 from ...fluid.layers import conv2d  # noqa: F401
-from ...fluid.layers import conv2d_transpose  # noqa: F401
 from ...fluid.layers import conv3d  # noqa: F401
-from ...fluid.layers import conv3d_transpose  # noqa: F401
 from ...fluid.layers import create_parameter  # noqa: F401
 from ...fluid.layers import crf_decoding  # noqa: F401
 from ...fluid.layers import data_norm  # noqa: F401