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未验证 提交 1f24c84a 编写于 作者: F FDInSky 提交者： GitHub
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fix conv3d_transpose_test timeout error (#25004) 

* test=develop fix conv3d_transpose_test error
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Showing with 231 addition and 198 deletion
python/paddle/fluid/tests/unittests/test_conv3d_transpose_op.py
浏览文件 @ 1f24c84a
...@@ -111,6 +111,8 @@ class TestConv3dTransposeOp(OpTest): ...@@ -111,6 +111,8 @@ class TestConv3dTransposeOp(OpTest):
def setUp(self): def setUp(self):
# init as conv transpose # init as conv transpose
self.use_cudnn = False self.use_cudnn = False
self.check_no_input = False
self.check_no_filter = False
self.data_format = 'NCHW' self.data_format = 'NCHW'
self.pad = [0, 0, 0] self.pad = [0, 0, 0]
self.padding_algorithm = "EXPLICIT" self.padding_algorithm = "EXPLICIT"
...@@ -163,7 +165,7 @@ class TestConv3dTransposeOp(OpTest): ...@@ -163,7 +165,7 @@ class TestConv3dTransposeOp(OpTest):
'Output', 'Output',
max_relative_error=0.03, max_relative_error=0.03,
no_grad_set=set(['Filter'])) no_grad_set=set(['Filter']))
else: elif self.check_no_filter:
self.check_grad( self.check_grad(
['Input'], ['Input'],
'Output', 'Output',
...@@ -178,7 +180,7 @@ class TestConv3dTransposeOp(OpTest): ...@@ -178,7 +180,7 @@ class TestConv3dTransposeOp(OpTest):
'Output', 'Output',
max_relative_error=0.03, max_relative_error=0.03,
no_grad_set=set(['Input'])) no_grad_set=set(['Input']))
else: elif self.check_no_input:
self.check_grad( self.check_grad(
['Filter'], ['Filter'],
'Output', 'Output',
...@@ -200,6 +202,7 @@ class TestConv3dTransposeOp(OpTest): ...@@ -200,6 +202,7 @@ class TestConv3dTransposeOp(OpTest):
class TestWithSymmetricPad(TestConv3dTransposeOp): class TestWithSymmetricPad(TestConv3dTransposeOp):
def init_test_case(self): def init_test_case(self):
self.check_no_input = True
self.pad = [1, 1, 1] self.pad = [1, 1, 1]
self.stride = [1, 1, 1] self.stride = [1, 1, 1]
self.dilations = [1, 1, 1] self.dilations = [1, 1, 1]
...@@ -242,26 +245,27 @@ class TestWithVALIDPad(TestConv3dTransposeOp): ...@@ -242,26 +245,27 @@ class TestWithVALIDPad(TestConv3dTransposeOp):
self.padding_algorithm = 'VALID' self.padding_algorithm = 'VALID'
class TestWithGroups(TestConv3dTransposeOp): class TestWithStride(TestConv3dTransposeOp):
def init_test_case(self): def init_test_case(self):
self.check_no_filter = True
self.pad = [1, 1, 1] self.pad = [1, 1, 1]
self.stride = [1, 1, 1] self.stride = [2, 2, 2]
self.dilations = [1, 1, 1] self.dilations = [1, 1, 1]
self.groups = 2 self.groups = 1
self.input_size = [2, 4, 5, 5, 5] # NCHW self.input_size = [2, 3, 5, 5, 5] # NCDHW
f_c = self.input_size[1] f_c = self.input_size[1]
self.filter_size = [f_c, 3, 3, 3, 3] self.filter_size = [f_c, 6, 3, 3, 3]
class TestWithStride(TestConv3dTransposeOp): class TestWithGroups(TestConv3dTransposeOp):
def init_test_case(self): def init_test_case(self):
self.pad = [1, 1, 1] self.pad = [1, 1, 1]
self.stride = [2, 2, 2] self.stride = [1, 1, 1]
self.dilations = [1, 1, 1] self.dilations = [1, 1, 1]
self.groups = 1 self.groups = 2
self.input_size = [2, 3, 5, 5, 5] # NCDHW self.input_size = [2, 4, 5, 5, 5] # NCHW
f_c = self.input_size[1] f_c = self.input_size[1]
self.filter_size = [f_c, 6, 3, 3, 3] self.filter_size = [f_c, 3, 3, 3, 3]
class TestWithDilation(TestConv3dTransposeOp): class TestWithDilation(TestConv3dTransposeOp):
...@@ -287,66 +291,6 @@ class Test_NHWC(TestConv3dTransposeOp): ...@@ -287,66 +291,6 @@ class Test_NHWC(TestConv3dTransposeOp):
self.data_format = 'NHWC' self.data_format = 'NHWC'
class TestWithSymmetricPad_NHWC(TestConv3dTransposeOp):
def init_test_case(self):
self.pad = [1, 1, 1]
self.stride = [1, 1, 1]
self.dilations = [1, 1, 1]
self.groups = 1
self.input_size = [2, 5, 5, 5, 3] # NDHWC
f_c = self.input_size[-1]
self.filter_size = [f_c, 6, 3, 3, 3]
self.data_format = 'NHWC'
class TestWithAsymmetricPad_NHWC(TestConv3dTransposeOp):
def init_test_case(self):
self.pad = [1, 0, 1, 0, 1, 2]
self.stride = [1, 1, 1]
self.dilations = [1, 1, 1]
self.groups = 1
self.input_size = [2, 5, 5, 5, 3] # NDHWC
f_c = self.input_size[-1]
self.filter_size = [f_c, 6, 3, 3, 3]
self.data_format = 'NHWC'
class TestWithGroups_NHWC(TestConv3dTransposeOp):
def init_test_case(self):
self.pad = [1, 1, 1]
self.stride = [1, 1, 1]
self.dilations = [1, 1, 1]
self.groups = 2
self.input_size = [2, 5, 5, 5, 4] # NDHWC
f_c = self.input_size[-1]
self.filter_size = [f_c, 3, 3, 3, 3]
self.data_format = 'NHWC'
class TestWithStride_NHWC(TestConv3dTransposeOp):
def init_test_case(self):
self.pad = [1, 1, 1]
self.stride = [2, 2, 2]
self.dilations = [1, 1, 1]
self.groups = 1
self.input_size = [2, 5, 5, 5, 3] # NCDHW
f_c = self.input_size[-1]
self.filter_size = [f_c, 6, 3, 3, 3]
self.data_format = 'NHWC'
class TestWithDilation_NHWC(TestConv3dTransposeOp):
def init_test_case(self):
self.pad = [1, 1, 1]
self.stride = [1, 1, 1]
self.dilations = [2, 2, 2]
self.groups = 1
self.input_size = [2, 5, 5, 5, 3] # NCDHW
f_c = self.input_size[-1]
self.filter_size = [f_c, 6, 3, 3, 3]
self.data_format = 'NHWC'
# ------------ test_cudnn ------------ # ------------ test_cudnn ------------
@unittest.skipIf(not core.is_compiled_with_cuda(), @unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA") "core is not compiled with CUDA")
...@@ -563,131 +507,5 @@ class TestCUDNNWithGroups_NHWC(TestWithGroups): ...@@ -563,131 +507,5 @@ class TestCUDNNWithGroups_NHWC(TestWithGroups):
self.op_type = "conv3d_transpose" self.op_type = "conv3d_transpose"
class TestConv3dTransposeAPI(unittest.TestCase):
def test_case1(self):
data1 = fluid.layers.data(
name='data1', shape=[3, 5, 5, 5], dtype='float32')
data2 = fluid.layers.data(
name='data2', shape=[5, 5, 5, 3], dtype='float32')
out1 = fluid.layers.conv3d_transpose(
input=data1,
groups=1,
num_filters=6,
filter_size=3,
data_format='NCDHW')
out2 = fluid.layers.conv3d_transpose(
input=data2,
groups=1,
num_filters=6,
filter_size=3,
data_format='NDHWC')
out3 = fluid.layers.conv3d_transpose(
input=data1,
groups=1,
num_filters=6,
filter_size=3,
padding=[[0, 0], [0, 0], [1, 1], [0, 0], [1, 1]],
data_format='NCDHW')
out4 = fluid.layers.conv3d_transpose(
input=data2,
groups=3,
num_filters=6,
filter_size=3,
padding=[[0, 0], [0, 0], [1, 1], [1, 2], [0, 0]],
data_format='NDHWC')
out5 = fluid.layers.conv3d_transpose(
input=data2,
groups=1,
num_filters=6,
filter_size=3,
padding='SAME',
data_format='NCDHW')
out6 = fluid.layers.conv3d_transpose(
input=data2,
groups=1,
num_filters=6,
filter_size=3,
padding='VALID',
data_format='NDHWC')
out7 = fluid.layers.conv3d_transpose(
input=data2,
groups=1,
num_filters=6,
output_size=[7, 7, 7],
padding=[0, 0, 0],
data_format='NDHWC')
data1_np = np.random.random((2, 3, 5, 5, 5)).astype("float32")
data2_np = np.random.random((2, 5, 5, 5, 3)).astype("float32")
if core.is_compiled_with_cuda():
place = core.CUDAPlace(0)
else:
place = core.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
results = exe.run(
fluid.default_main_program(),
feed={"data1": data1_np,
"data2": data2_np},
fetch_list=[out1, out2, out3, out4, out5, out6, out7],
return_numpy=True)
self.assertIsNotNone(results[0])
self.assertIsNotNone(results[1])
self.assertIsNotNone(results[2])
self.assertIsNotNone(results[3])
self.assertIsNotNone(results[4])
self.assertIsNotNone(results[5])
self.assertIsNotNone(results[6])
class TestConv3dTransposeOpException(unittest.TestCase):
def test_exception(self):
data = fluid.layers.data(
name='data', shape=[3, 5, 5, 5], dtype="float32")
def attr_data_format():
out = fluid.layers.conv2d_transpose(
input=data,
groups=1,
num_filters=6,
filter_size=3,
data_format="NCDW")
self.assertRaises(ValueError, attr_data_format)
def attr_padding_str():
out = fluid.layers.conv2d_transpose(
input=data,
groups=1,
num_filters=6,
filter_size=3,
padding='Vald')
self.assertRaises(ValueError, attr_padding_str)
def attr_padding_list():
out = fluid.layers.conv2d_transpose(
input=data,
groups=1,
num_filters=6,
filter_size=3,
padding=[[1, 1], [1, 1], [0, 0], [0, 0], [1, 1]])
self.assertRaises(ValueError, attr_padding_list)
def attr_padding_with_data_format():
out = fluid.layers.conv2d_transpose(
input=data,
groups=1,
num_filters=6,
filter_size=3,
padding=[[1, 1], [0, 0], [0, 0], [1, 0], [1, 1]],
data_format='NDHWC')
self.assertRaises(ValueError, attr_padding_with_data_format)
if __name__ == '__main__': if __name__ == '__main__':
unittest.main() unittest.main()
python/paddle/fluid/tests/unittests/test_conv3d_transpose_part2_op.py 0 → 100644
浏览文件 @ 1f24c84a
# Copyright (c) 2018 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.fluid.core as core
import paddle.fluid as fluid
from op_test import OpTest
from test_conv3d_transpose_op import conv3dtranspose_forward_naive, TestConv3dTransposeOp
class TestWithSymmetricPad_NHWC(TestConv3dTransposeOp):
def init_test_case(self):
self.pad = [1, 1, 1]
self.stride = [1, 1, 1]
self.dilations = [1, 1, 1]
self.groups = 1
self.input_size = [2, 5, 5, 5, 3] # NDHWC
f_c = self.input_size[-1]
self.filter_size = [f_c, 6, 3, 3, 3]
self.data_format = 'NHWC'
class TestWithAsymmetricPad_NHWC(TestConv3dTransposeOp):
def init_test_case(self):
self.pad = [1, 0, 1, 0, 1, 2]
self.stride = [1, 1, 1]
self.dilations = [1, 1, 1]
self.groups = 1
self.input_size = [2, 5, 5, 5, 3] # NDHWC
f_c = self.input_size[-1]
self.filter_size = [f_c, 6, 3, 3, 3]
self.data_format = 'NHWC'
class TestWithGroups_NHWC(TestConv3dTransposeOp):
def init_test_case(self):
self.check_no_filter = True
self.pad = [1, 1, 1]
self.stride = [1, 1, 1]
self.dilations = [1, 1, 1]
self.groups = 2
self.input_size = [2, 5, 5, 5, 4] # NDHWC
f_c = self.input_size[-1]
self.filter_size = [f_c, 3, 3, 3, 3]
self.data_format = 'NHWC'
class TestWithStride_NHWC(TestConv3dTransposeOp):
def init_test_case(self):
self.pad = [1, 1, 1]
self.stride = [2, 2, 2]
self.dilations = [1, 1, 1]
self.groups = 1
self.input_size = [2, 5, 5, 5, 3] # NCDHW
f_c = self.input_size[-1]
self.filter_size = [f_c, 6, 3, 3, 3]
self.data_format = 'NHWC'
class TestWithDilation_NHWC(TestConv3dTransposeOp):
def init_test_case(self):
self.check_no_input = True
self.pad = [1, 1, 1]
self.stride = [1, 1, 1]
self.dilations = [2, 2, 2]
self.groups = 1
self.input_size = [2, 5, 5, 5, 3] # NCDHW
f_c = self.input_size[-1]
self.filter_size = [f_c, 6, 3, 3, 3]
self.data_format = 'NHWC'
class TestConv3dTransposeAPI(unittest.TestCase):
def test_case1(self):
data1 = fluid.layers.data(
name='data1', shape=[3, 5, 5, 5], dtype='float32')
data2 = fluid.layers.data(
name='data2', shape=[5, 5, 5, 3], dtype='float32')
out1 = fluid.layers.conv3d_transpose(
input=data1,
groups=1,
num_filters=6,
filter_size=3,
data_format='NCDHW')
out2 = fluid.layers.conv3d_transpose(
input=data2,
groups=1,
num_filters=6,
filter_size=3,
data_format='NDHWC')
out3 = fluid.layers.conv3d_transpose(
input=data1,
groups=1,
num_filters=6,
filter_size=3,
padding=[[0, 0], [0, 0], [1, 1], [0, 0], [1, 1]],
data_format='NCDHW')
out4 = fluid.layers.conv3d_transpose(
input=data2,
groups=3,
num_filters=6,
filter_size=3,
padding=[[0, 0], [0, 0], [1, 1], [1, 2], [0, 0]],
data_format='NDHWC')
out5 = fluid.layers.conv3d_transpose(
input=data2,
groups=1,
num_filters=6,
filter_size=3,
padding='SAME',
data_format='NCDHW')
out6 = fluid.layers.conv3d_transpose(
input=data2,
groups=1,
num_filters=6,
filter_size=3,
padding='VALID',
data_format='NDHWC')
out7 = fluid.layers.conv3d_transpose(
input=data2,
groups=1,
num_filters=6,
output_size=[7, 7, 7],
padding=[0, 0, 0],
data_format='NDHWC')
data1_np = np.random.random((2, 3, 5, 5, 5)).astype("float32")
data2_np = np.random.random((2, 5, 5, 5, 3)).astype("float32")
if core.is_compiled_with_cuda():
place = core.CUDAPlace(0)
else:
place = core.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
results = exe.run(
fluid.default_main_program(),
feed={"data1": data1_np,
"data2": data2_np},
fetch_list=[out1, out2, out3, out4, out5, out6, out7],
return_numpy=True)
self.assertIsNotNone(results[0])
self.assertIsNotNone(results[1])
self.assertIsNotNone(results[2])
self.assertIsNotNone(results[3])
self.assertIsNotNone(results[4])
self.assertIsNotNone(results[5])
self.assertIsNotNone(results[6])
class TestConv3dTransposeOpException(unittest.TestCase):
def test_exception(self):
data = fluid.layers.data(
name='data', shape=[3, 5, 5, 5], dtype="float32")
def attr_data_format():
out = fluid.layers.conv2d_transpose(
input=data,
groups=1,
num_filters=6,
filter_size=3,
data_format="NCDW")
self.assertRaises(ValueError, attr_data_format)
def attr_padding_str():
out = fluid.layers.conv2d_transpose(
input=data,
groups=1,
num_filters=6,
filter_size=3,
padding='Vald')
self.assertRaises(ValueError, attr_padding_str)
def attr_padding_list():
out = fluid.layers.conv2d_transpose(
input=data,
groups=1,
num_filters=6,
filter_size=3,
padding=[[1, 1], [1, 1], [0, 0], [0, 0], [1, 1]])
self.assertRaises(ValueError, attr_padding_list)
def attr_padding_with_data_format():
out = fluid.layers.conv2d_transpose(
input=data,
groups=1,
num_filters=6,
filter_size=3,
padding=[[1, 1], [0, 0], [0, 0], [1, 0], [1, 1]],
data_format='NDHWC')
self.assertRaises(ValueError, attr_padding_with_data_format)
if __name__ == '__main__':
unittest.main()
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