register pass compatibility #27357
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| # Copyright (c) 2020 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. | ||
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| import unittest | ||
| import numpy as np | ||
| from inference_pass_test import InferencePassTest | ||
| import paddle.fluid as fluid | ||
| import paddle.fluid.core as core | ||
| from paddle.fluid.core import PassVersionChecker | ||
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| class ConvAffineChannelFusePassExplicitPaddingTest(InferencePassTest): | ||
| def setUp(self): | ||
| with fluid.program_guard(self.main_program, self.startup_program): | ||
| data = fluid.data( | ||
| name="data", shape=[-1, 3, 64, 64], dtype="float32") | ||
| conv_out = fluid.layers.conv2d( | ||
| input=data, | ||
| num_filters=3, | ||
| filter_size=3, | ||
| groups=3, | ||
| padding=[1, 1, 1, 1], | ||
| bias_attr=False, | ||
| act=None) | ||
| input_scale = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| input_bias = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| ac_out = fluid.layers.affine_channel( | ||
| x=conv_out, scale=input_scale, bias=input_bias) | ||
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| self.feeds = { | ||
| "data": np.random.random([1, 3, 64, 64]).astype("float32"), | ||
| } | ||
| self.fetch_list = [ac_out] | ||
|
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| def test_check_output(self): | ||
| self.check_output() | ||
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| PassVersionChecker.IsCompatible('conv_affine_channel_fuse_pass') | ||
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| class ConvAffineChannelFusePassValidPaddingTest(InferencePassTest): | ||
| def setUp(self): | ||
| with fluid.program_guard(self.main_program, self.startup_program): | ||
| data = fluid.data( | ||
| name="data", shape=[-1, 3, 64, 64], dtype="float32") | ||
| conv_out = fluid.layers.conv2d( | ||
| input=data, | ||
| num_filters=3, | ||
| filter_size=3, | ||
| groups=3, | ||
| padding='VALID', | ||
| bias_attr=False, | ||
| act=None) | ||
| input_scale = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| input_bias = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| ac_out = fluid.layers.affine_channel( | ||
| x=conv_out, scale=input_scale, bias=input_bias) | ||
|
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||
| self.feeds = { | ||
| "data": np.random.random([1, 3, 64, 64]).astype("float32"), | ||
| } | ||
| self.fetch_list = [ac_out] | ||
|
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| def test_check_output(self): | ||
| self.check_output() | ||
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| PassVersionChecker.IsCompatible('conv_affine_channel_fuse_pass') | ||
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| class ConvAffineChannelFusePassSamePaddingTest(InferencePassTest): | ||
| def setUp(self): | ||
| with fluid.program_guard(self.main_program, self.startup_program): | ||
| data = fluid.data( | ||
| name="data", shape=[-1, 3, 64, 64], dtype="float32") | ||
| conv_out = fluid.layers.conv2d( | ||
| input=data, | ||
| num_filters=3, | ||
| filter_size=3, | ||
| groups=3, | ||
| padding='SAME', | ||
| bias_attr=False, | ||
| act=None) | ||
| input_scale = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| input_bias = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| ac_out = fluid.layers.affine_channel( | ||
| x=conv_out, scale=input_scale, bias=input_bias) | ||
|
|
||
| self.feeds = { | ||
| "data": np.random.random([1, 3, 64, 64]).astype("float32"), | ||
| } | ||
| self.fetch_list = [ac_out] | ||
|
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| def test_check_output(self): | ||
| self.check_output() | ||
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| PassVersionChecker.IsCompatible('conv_affine_channel_fuse_pass') | ||
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| class ConvEltwiseAddAffineChannelFusePassExplicitPaddingTest(InferencePassTest): | ||
| def setUp(self): | ||
| with fluid.program_guard(self.main_program, self.startup_program): | ||
| data = fluid.data( | ||
| name="data", shape=[-1, 3, 64, 64], dtype="float32") | ||
| param_attr = fluid.ParamAttr( | ||
| initializer=fluid.initializer.Xavier(uniform=False), | ||
| learning_rate=0.001) | ||
| conv_out = fluid.layers.conv2d( | ||
| input=data, | ||
| num_filters=3, | ||
| filter_size=3, | ||
| groups=3, | ||
| padding=[1, 1, 1, 1], | ||
| bias_attr=param_attr, | ||
| act=None) | ||
| input_scale = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| input_bias = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| ac_out = fluid.layers.affine_channel( | ||
| x=conv_out, scale=input_scale, bias=input_bias) | ||
|
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||
| self.feeds = { | ||
| "data": np.random.random([1, 3, 64, 64]).astype("float32"), | ||
| } | ||
| self.fetch_list = [ac_out] | ||
|
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| def test_check_output(self): | ||
| self.check_output() | ||
|
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| PassVersionChecker.IsCompatible( | ||
| 'conv_eltwiseadd_affine_channel_fuse_pass') | ||
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| class ConvEltwiseAddAffineChannelFusePassValidPaddingTest(InferencePassTest): | ||
| def setUp(self): | ||
| with fluid.program_guard(self.main_program, self.startup_program): | ||
| data = fluid.data( | ||
| name="data", shape=[-1, 3, 64, 64], dtype="float32") | ||
| param_attr = fluid.ParamAttr( | ||
| initializer=fluid.initializer.Xavier(uniform=False), | ||
| learning_rate=0.001) | ||
| conv_out = fluid.layers.conv2d( | ||
| input=data, | ||
| num_filters=3, | ||
| filter_size=3, | ||
| groups=3, | ||
| padding='VALID', | ||
| bias_attr=param_attr, | ||
| act=None) | ||
| input_scale = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| input_bias = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| ac_out = fluid.layers.affine_channel( | ||
| x=conv_out, scale=input_scale, bias=input_bias) | ||
|
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| self.feeds = { | ||
| "data": np.random.random([1, 3, 64, 64]).astype("float32"), | ||
| } | ||
| self.fetch_list = [ac_out] | ||
|
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| def test_check_output(self): | ||
| self.check_output() | ||
|
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| PassVersionChecker.IsCompatible( | ||
| 'conv_eltwiseadd_affine_channel_fuse_pass') | ||
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| class ConvEltwiseAddAffineChannelFusePassSamePaddingTest(InferencePassTest): | ||
| def setUp(self): | ||
| with fluid.program_guard(self.main_program, self.startup_program): | ||
| data = fluid.data( | ||
| name="data", shape=[-1, 3, 64, 64], dtype="float32") | ||
| param_attr = fluid.ParamAttr( | ||
| initializer=fluid.initializer.Xavier(uniform=False), | ||
| learning_rate=0.001) | ||
| conv_out = fluid.layers.conv2d( | ||
| input=data, | ||
| num_filters=3, | ||
| filter_size=3, | ||
| groups=3, | ||
| padding='Same', | ||
| bias_attr=param_attr, | ||
| act=None) | ||
| input_scale = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| input_bias = fluid.layers.create_parameter( | ||
| shape=[3], dtype="float32") | ||
| ac_out = fluid.layers.affine_channel( | ||
| x=conv_out, scale=input_scale, bias=input_bias) | ||
|
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| self.feeds = { | ||
| "data": np.random.random([1, 3, 64, 64]).astype("float32"), | ||
| } | ||
| self.fetch_list = [ac_out] | ||
|
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| def test_check_output(self): | ||
| self.check_output() | ||
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| PassVersionChecker.IsCompatible( | ||
| 'conv_eltwiseadd_affine_channel_fuse_pass') | ||
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| if __name__ == "__main__": | ||
| unittest.main() | ||
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需要添加断言
self.assertTrue