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未验证 提交 1001f8e1 编写于 作者: C chengduo 提交者： GitHub
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Add is_compiled_with_cuda for parallel_exe_crf (#14304) 

test=develop
上级 2f0a379a
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Showing with 13 addition and 8 deletion
python/paddle/fluid/tests/unittests/test_parallel_executor_crf.py
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...@@ -16,6 +16,7 @@ from __future__ import print_function ...@@ -16,6 +16,7 @@ from __future__ import print_function
import paddle.dataset.conll05 as conll05 import paddle.dataset.conll05 as conll05
import paddle.fluid as fluid import paddle.fluid as fluid
import paddle.fluid.core as core
import unittest import unittest
import paddle import paddle
import numpy as np import numpy as np
...@@ -177,32 +178,36 @@ class TestCRFModel(unittest.TestCase): ...@@ -177,32 +178,36 @@ class TestCRFModel(unittest.TestCase):
def test_update_sparse_parameter_all_reduce(self): def test_update_sparse_parameter_all_reduce(self):
build_strategy = fluid.BuildStrategy() build_strategy = fluid.BuildStrategy()
build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.AllReduce build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.AllReduce
self.check_network_convergence( if core.is_compiled_with_cuda():
is_sparse=True, build_strategy=build_strategy, use_cuda=True) self.check_network_convergence(
is_sparse=True, build_strategy=build_strategy, use_cuda=True)
self.check_network_convergence( self.check_network_convergence(
is_sparse=True, build_strategy=build_strategy, use_cuda=False) is_sparse=True, build_strategy=build_strategy, use_cuda=False)
def test_update_dense_parameter_all_reduce(self): def test_update_dense_parameter_all_reduce(self):
build_strategy = fluid.BuildStrategy() build_strategy = fluid.BuildStrategy()
build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.AllReduce build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.AllReduce
self.check_network_convergence( if core.is_compiled_with_cuda():
is_sparse=False, build_strategy=build_strategy, use_cuda=True) self.check_network_convergence(
is_sparse=False, build_strategy=build_strategy, use_cuda=True)
self.check_network_convergence( self.check_network_convergence(
is_sparse=False, build_strategy=build_strategy, use_cuda=False) is_sparse=False, build_strategy=build_strategy, use_cuda=False)
def test_update_sparse_parameter_reduce(self): def test_update_sparse_parameter_reduce(self):
build_strategy = fluid.BuildStrategy() build_strategy = fluid.BuildStrategy()
build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.Reduce build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.Reduce
self.check_network_convergence( if core.is_compiled_with_cuda():
is_sparse=True, build_strategy=build_strategy, use_cuda=True) self.check_network_convergence(
is_sparse=True, build_strategy=build_strategy, use_cuda=True)
self.check_network_convergence( self.check_network_convergence(
is_sparse=True, build_strategy=build_strategy, use_cuda=False) is_sparse=True, build_strategy=build_strategy, use_cuda=False)
def test_update_dense_parameter_reduce(self): def test_update_dense_parameter_reduce(self):
build_strategy = fluid.BuildStrategy() build_strategy = fluid.BuildStrategy()
build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.Reduce build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.Reduce
self.check_network_convergence( if core.is_compiled_with_cuda():
is_sparse=False, build_strategy=build_strategy, use_cuda=True) self.check_network_convergence(
is_sparse=False, build_strategy=build_strategy, use_cuda=True)
self.check_network_convergence( self.check_network_convergence(
is_sparse=False, build_strategy=build_strategy, use_cuda=False) is_sparse=False, build_strategy=build_strategy, use_cuda=False)
......
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