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未验证 提交 eeca9639 编写于 作者: Z Zhou Wei 提交者： GitHub
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Polish Windows CI and open the normal GPU unittest on CI (#32794) 

* fix windows CI

* fix windows CI
上级 24ffcd0d
隐藏空白更改
内联 并排
Showing with 102 addition and 121 deletion
cmake/init.cmake
浏览文件 @ eeca9639
......@@ -18,6 +18,16 @@ if(NOT WIN32)
set(CMAKE_CXX_FLAGS_RELWITHDEBINFO "-O2 -g -DNDEBUG")
set(CMAKE_CXX_FLAGS_MINSIZEREL "-Os -DNDEBUG")
else()
set(CMAKE_C_FLAGS_DEBUG "/Zi /DEBUG")
set(CMAKE_C_FLAGS_RELEASE "/O2 /DNDEBUG")
set(CMAKE_C_FLAGS_RELWITHDEBINFO "/O2 /DNDEBUG")
set(CMAKE_C_FLAGS_MINSIZEREL "/Os /DNDEBUG")
set(CMAKE_CXX_FLAGS_DEBUG "/Zi /DEBUG")
set(CMAKE_CXX_FLAGS_RELEASE "/O2 /DNDEBUG")
set(CMAKE_CXX_FLAGS_RELWITHDEBINFO "/O2 /DNDEBUG")
set(CMAKE_CXX_FLAGS_MINSIZEREL "/Os /DNDEBUG")
# It can specify CUDA compile flag manualy,
# its use is to remvoe /Zi to reduce GPU static library size. But it's dangerous
# because CUDA will update by nvidia, then error will occur.
......
paddle/fluid/pybind/CMakeLists.txt
浏览文件 @ eeca9639
......@@ -128,14 +128,20 @@ if(WITH_PYTHON)
else()
set(op_function_generator_path "${CMAKE_CURRENT_BINARY_DIR}/${CMAKE_BUILD_TYPE}")
endif()
file(TO_NATIVE_PATH ${op_function_generator_path} op_function_generator_path)
file(TO_NATIVE_PATH ${impl_file} impl_file)
file(TO_NATIVE_PATH ${tmp_impl_file} tmp_impl_file)
file(WRITE ${CMAKE_BINARY_DIR}/paddle/fluid/pybind/op_function_generator_retry.bat ""
"set build_times=1\n"
":retry\n"
"ECHO op_function_generator run %build_times% time\n"
"${op_function_generator_path}/op_function_generator ${impl_file}\n"
"if exist ${tmp_impl_file} del ${tmp_impl_file}\n"
"taskkill /f /im op_function_generator.exe 2>NUL\n"
"${op_function_generator_path}\\op_function_generator.exe ${tmp_impl_file}\n"
"if %ERRORLEVEL% NEQ 0 (\n"
" set /a build_times=%build_times%+1\n"
" if %build_times% GTR 5 (\n"
" if %build_times% GEQ 3 (\n"
" exit /b 1\n"
" ) else (\n"
" goto :retry\n"
......@@ -145,6 +151,8 @@ if(WITH_PYTHON)
add_custom_command(TARGET op_function_generator POST_BUILD
COMMAND ${CMAKE_BINARY_DIR}/paddle/fluid/pybind/op_function_generator_retry.bat
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file} ${impl_file}
COMMENT "copy_if_different ${tmp_impl_file} to ${impl_file}"
)
if(${CBLAS_PROVIDER} STREQUAL MKLML)
......@@ -176,7 +184,7 @@ if(WITH_PYTHON)
"${CMAKE_CURRENT_BINARY_DIR}/op_function_generator"
"${tmp_impl_file}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file} ${impl_file}
COMMENT "copy_if_different ${impl_file}"
COMMENT "copy_if_different ${tmp_impl_file} to ${impl_file}"
VERBATIM
)
if(WITH_MKL)
......
paddle/scripts/paddle_build.bat
浏览文件 @ eeca9639
......@@ -26,11 +26,10 @@ set cache_dir=%work_dir:Paddle=cache%
if not exist %cache_dir%\tools (
git clone https://github.com/zhouwei25/tools.git %cache_dir%\tools
)
taskkill /f /im op_function_generator.exe 2>NUL
taskkill /f /im cmake.exe 2>NUL
taskkill /f /im MSBuild.exe 2>NUL
taskkill /f /im CL.exe 2>NUL
taskkill /f /im Lib.exe 2>NUL
taskkill /f /im cl.exe 2>NUL
taskkill /f /im lib.exe 2>NUL
taskkill /f /im link.exe 2>NUL
taskkill /f /im vctip.exe 2>NUL
taskkill /f /im cvtres.exe 2>NUL
......@@ -47,8 +46,8 @@ wmic process where name="op_function_generator.exe" call terminate 2>NUL
wmic process where name="test_api_impl.exe" call terminate 2>NUL
wmic process where name="cvtres.exe" call terminate 2>NUL
wmic process where name="rc.exe" call terminate 2>NUL
wmic process where name="CL.exe" call terminate 2>NUL
wmic process where name="Lib.exe" call terminate 2>NUL
wmic process where name="cl.exe" call terminate 2>NUL
wmic process where name="lib.exe" call terminate 2>NUL
wmic process where name="python.exe" call terminate 2>NUL
rem ------initialize common variable------
......@@ -79,6 +78,7 @@ if not defined PYTHON_ROOT set PYTHON_ROOT=C:\Python37
rem -------set cache build directory-----------
rmdir build\python /s/q
rmdir build\paddle\fluid\pybind /s/q
rmdir build\paddle_install_dir /s/q
rmdir build\paddle_inference_install_dir /s/q
rmdir build\paddle_inference_c_install_dir /s/q
......@@ -112,6 +112,17 @@ if %ERRORLEVEL% EQU 0 (
git branch last_pr
)
for /F %%# in ('wmic os get localdatetime^|findstr 20') do set datetime=%%#
set day_now=%datetime:~6,2%
set day_before=-1
set /p day_before=< %cache_dir%\day.txt
if %day_now% NEQ %day_before% (
echo %day_now% > %cache_dir%\day.txt
type %cache_dir%\day.txt
rmdir build /s/q
goto :mkbuild
)
:: git diff HEAD origin/develop --stat --name-only
:: git diff HEAD origin/develop --stat --name-only | findstr ".cmake CMakeLists.txt paddle_build.bat"
:: if %ERRORLEVEL% EQU 0 (
......@@ -137,10 +148,11 @@ goto :CASE_%1
echo "Usage: paddle_build.bat [OPTION]"
echo "OPTION:"
echo "wincheck_mkl: run Windows MKL/GPU/UnitTest CI tasks on Windows"
echo "wincheck_openbals: run Windows OPENBLAS/CPU CI tasks on Windows"
echo "wincheck_mkl: run Windows MKL/GPU PR CI tasks on Windows"
echo "wincheck_openbals: run Windows OPENBLAS/CPU PR CI tasks on Windows"
echo "build_avx_whl: build Windows avx whl package on Windows"
echo "build_no_avx_whl: build Windows no avx whl package on Windows"
echo "build_inference_lib: build Windows inference library on Windows"
exit /b 1
rem ------PR CI windows check for MKL/GPU----------
......@@ -200,6 +212,7 @@ goto:success
rem ------Build windows inference library------
:CASE_build_inference_lib
set ON_INFER=ON
set WITH_PYTHON=OFF
set CUDA_ARCH_NAME=All
......@@ -249,9 +262,10 @@ if "%WITH_GPU%"=="ON" (
)
rem ------initialize the python environment------
@ECHO ON
set PYTHON_EXECUTABLE=%PYTHON_ROOT%\python.exe
set PATH=%PYTHON_ROOT%;%PYTHON_ROOT%\Scripts;%PATH%
if %WITH_PYTHON% == "OFF" (
if %WITH_PYTHON% == "ON" (
where python
where pip
pip install wheel --user
......@@ -373,6 +387,7 @@ set build_times=1
rem clcache.exe -z
rem -------clean up environment again-----------
taskkill /f /im cmake.exe 2>NUL
taskkill /f /im MSBuild.exe 2>NUL
taskkill /f /im cl.exe 2>NUL
taskkill /f /im lib.exe 2>NUL
......@@ -387,12 +402,13 @@ taskkill /f /im cicc.exe 2>NUL
taskkill /f /im ptxas.exe 2>NUL
taskkill /f /im test_api_impl.exe 2>NUL
taskkill /f /im op_function_generator.exe 2>NUL
wmic process where name="cmake.exe" call terminate 2>NUL
wmic process where name="op_function_generator.exe" call terminate 2>NUL
wmic process where name="test_api_impl.exe" call terminate 2>NUL
wmic process where name="cvtres.exe" call terminate 2>NUL
wmic process where name="rc.exe" call terminate 2>NUL
wmic process where name="CL.exe" call terminate 2>NUL
wmic process where name="Lib.exe" call terminate 2>NUL
wmic process where name="cl.exe" call terminate 2>NUL
wmic process where name="lib.exe" call terminate 2>NUL
echo Build Paddle the %build_times% time:
if %GENERATOR% == "Ninja" (
......@@ -766,8 +782,8 @@ wmic process where name="op_function_generator.exe" call terminate 2>NUL
wmic process where name="test_api_impl.exe" call terminate 2>NUL
wmic process where name="cvtres.exe" call terminate 2>NUL
wmic process where name="rc.exe" call terminate 2>NUL
wmic process where name="CL.exe" call terminate 2>NUL
wmic process where name="Lib.exe" call terminate 2>NUL
wmic process where name="cl.exe" call terminate 2>NUL
wmic process where name="lib.exe" call terminate 2>NUL
wmic process where name="python.exe" call terminate 2>NUL
echo Windows CI run successfully!
exit /b 0
......
paddle/scripts/paddle_build.sh
浏览文件 @ eeca9639
......@@ -1262,11 +1262,13 @@ set +x
testcase=''
done <<< "$test_cases";
card_test "$single_card_tests_high_parallel" 1 8 # run cases the most each time with single GPU
card_test "$single_card_tests_high_parallel" 1 6 # run cases the most each time with single GPU
card_test "$single_card_tests_two_parallel" 1 2 # run cases 2 job each time with single GPU
card_test "$single_card_tests_non_parallel" 1 # run cases 1 job each time with single GPU
card_test "$multiple_card_tests_two_parallel" 2 2 # run cases 2 job each time with two GPUs
card_test "$multiple_card_tests_non_parallel" 2 # run cases 1 job each time with two GPUs
card_test "$exclusive_tests_two_parallel" -1 2 # run cases exclusively, in this cases would be run with 2/4/8 GPUs
card_test "$exclusive_tests_non_parallel" -1 # run cases exclusively, in this cases would be run with 2/4/8 GPUs
collect_failed_tests
......
python/paddle/fluid/tests/unittests/test_dataloader_keep_order.py
浏览文件 @ eeca9639
......@@ -77,7 +77,11 @@ class DataLoaderKeepOrderTestBase(unittest.TestCase):
def get_places(self):
place_list = [fluid.cpu_places(1), fluid.cpu_places(4)]
if fluid.is_compiled_with_cuda():
place_list.extend([fluid.cuda_places(0), fluid.cuda_places([0, 1])])
if os.name == "nt":
place_list.extend([fluid.cuda_places(0)])
else:
place_list.extend(
[fluid.cuda_places(0), fluid.cuda_places([0, 1])])
return place_list
def test_main(self):
......
python/paddle/fluid/tests/unittests/test_dataloader_unkeep_order.py
浏览文件 @ eeca9639
......@@ -96,7 +96,11 @@ class DataLoaderKeepOrderTestBase(unittest.TestCase):
def get_places(self):
place_list = [fluid.cpu_places(1), fluid.cpu_places(4)]
if fluid.is_compiled_with_cuda():
place_list.extend([fluid.cuda_places(0), fluid.cuda_places([0, 1])])
if os.name == "nt":
place_list.extend([fluid.cuda_places(0)])
else:
place_list.extend(
[fluid.cuda_places(0), fluid.cuda_places([0, 1])])
return place_list
def test_main(self):
......
python/paddle/fluid/tests/unittests/test_parallel_executor_fetch_isolated_var.py
浏览文件 @ eeca9639
......@@ -17,6 +17,7 @@ import numpy as np
import six
import paddle.fluid as fluid
import paddle
import os
def enable_parallel_ssa_executor(enabled=True):
......@@ -65,6 +66,9 @@ class TestParallelExecutorFetchIsolatedVarBase(unittest.TestCase):
if fluid.core.globals()[
'FLAGS_enable_parallel_graph'] and not use_gpu:
return
# windows has only 1 GPU
if use_gpu and dev_cnt > 1 and os.name == "nt":
return
else:
if use_gpu:
return
......
tools/parallel_UT_rule.py
浏览文件 @ eeca9639
......@@ -131,7 +131,6 @@ CPU_PARALLEL_JOB = [
'test_ones_op',
'test_npair_loss_op',
'test_nn_functional_embedding_static',
'test_nce',
'test_name_scope',
'test_naive_executor',
'test_multiprocess_dataloader_iterable_dataset_split',
......@@ -293,8 +292,6 @@ CPU_PARALLEL_JOB = [
'test_dataset_imdb',
'test_dataset_conll05',
'test_dataset_cifar',
'test_dataloader_unkeep_order',
'test_dataloader_keep_order',
'test_dataloader_dataset',
'test_data_generator',
'test_data_feeder',
......@@ -571,8 +568,6 @@ CPU_PARALLEL_JOB = [
'test_fleet_cc',
'test_repeated_fc_relu_fuse_pass_cc',
'heter_server_test',
'test_static_save_load_large',
'graph_node_test',
'test_custom_conj',
'test_fleet_private_function',
'test_fake_init_op',
......@@ -604,27 +599,21 @@ CPU_PARALLEL_JOB = [
# It run 4 job each time, If it failed due to Insufficient GPU memory or CUBLAS_STATUS_ALLOC_FAILED,
# just remove it from this list.
TETRAD_PARALLEL_JOB = [
'graph_node_test',
'test_assert',
'test_nce',
'buffered_allocator_test',
'allocator_facade_frac_flags_test',
'cuda_helper_test',
'sequence_padding_test',
'test_auto_growth_gpu_memory_limit',
'test_imperative_framework',
'device_context_test',
'test_reference_count_pass_last_lived_ops',
'copy_same_tensor_test',
'float16_gpu_test',
'test_leaky_relu_grad_grad_functor',
'sequence_pooling_test',
'mixed_vector_test',
'op_registry_test',
'strided_memcpy_test',
'selected_rows_functor_gpu_test',
'test_prepare_op',
'data_device_transform_test',
'test_tensor_to_numpy',
'test_naive_best_fit_gpu_memory_limit',
'vol2col_test',
'test_imperative_using_non_zero_gpu',
'retry_allocator_test',
'system_allocator_test',
......@@ -659,23 +648,16 @@ TETRAD_PARALLEL_JOB = [
'test_analyzer_paddletensor_tensor',
'test_analyzer_bert',
'test_analyzer_googlenet',
'zero_copy_tensor_test',
'custom_tensor_test',
'test_fleet_base',
'test_imperative_container_layerdict',
'test_complex_simplenet',
'test_tensor_register_hook',
'test_set_value_op',
'test_tensor_type_promotion',
'test_view_op_reuse_allocation',
'test_complex_grad_accumulated',
'test_sequential',
'test_sequential',
'test_imperative_layers',
'test_dgc_momentum_op',
'test_memcpy_op',
'test_dgc_op',
'test_modelaverage',
'test_lookahead',
'test_callback_visualdl',
'test_new_group_api',
......@@ -684,32 +666,37 @@ TETRAD_PARALLEL_JOB = [
'test_collective_split_row_linear',
'test_collective_split_col_linear',
'test_collective_split_embedding',
'test_custom_attrs_jit',
'float16_gpu_test',
'test_leaky_relu_grad_grad_functor',
'test_complex_simplenet',
'selected_rows_functor_gpu_test',
'test_imperative_framework',
]
# It run 2 job each time, If it failed due to Insufficient GPU memory or CUBLAS_STATUS_ALLOC_FAILED,
# just remove it from this list.
TWO_PARALLEL_JOB = [
'test_tensor_to_numpy',
'zero_copy_tensor_test',
'sequence_pooling_test',
'sequence_padding_test',
'vol2col_test',
'convert_model2dot_ernie',
'im2col_test',
'test_elementwise_add_grad_grad',
'test_logical_op',
'test_imperative_mnist',
'test_imperative_deepcf',
'test_cholesky_op',
'test_multiprocess_dataloader_iterable_dataset_static',
'test_sample_logits_op',
'test_ir_fc_fuse_pass',
'test_imperative_qat_channelwise',
'test_fleet_base_single',
'test_imperative_out_scale',
'test_multiprocess_dataloader_iterable_dataset_dynamic',
'test_fill_op',
'test_slice_op',
'test_cond',
'test_compiled_program',
'test_lstm',
'test_ema',
'test_py_reader_using_executor',
'test_nan_inf',
'test_isinstance',
'test_jit_save_load',
......@@ -749,13 +736,11 @@ TWO_PARALLEL_JOB = [
'test_anchor_generator_op',
'test_imperative_ptb_rnn',
'test_gather_nd_op',
'test_flatten_contiguous_range_op',
'test_network_with_dtype',
'test_elementwise_sub_op',
'test_assert_op',
'test_elementwise_div_op',
'test_gather_tree_op',
'test_decoupled_py_reader',
'test_imperative_named_members',
'test_seqconv_eltadd_relu_fuse_pass',
'test_analysis_predictor',
......@@ -771,7 +756,6 @@ TWO_PARALLEL_JOB = [
'test_traced_layer_err_msg',
'test_unique_with_counts',
'test_auc_single_pred_op',
'test_stack_op',
'test_conv_bn_fuse_pass',
'test_instance_norm_op_v2',
'test_softmax_bf16_mkldnn_op',
......@@ -793,10 +777,8 @@ TWO_PARALLEL_JOB = [
'test_ctc_align',
'test_imperative_save_load_v2',
'test_decayed_adagrad_op',
'test_generator_dataloader',
'test_dropout_op',
'test_functional_conv3d',
'test_executor_return_tensor_not_overwriting',
'test_flatten2_op',
'test_fsp_op',
'test_fusion_transpose_flatten_concat_op',
......@@ -812,7 +794,6 @@ TWO_PARALLEL_JOB = [
'test_temporal_shift_op',
'test_case',
'test_transformer_api',
'test_bmm_op',
'test_adagrad_op',
'test_batch_norm_mkldnn_op',
'test_adam_op_multi_thread',
......@@ -973,7 +954,6 @@ TWO_PARALLEL_JOB = [
'test_auc_op',
'test_adam_op',
'test_bilinear_tensor_product_op',
'test_break_continue',
'test_transpose_mkldnn_op',
'test_callback_reduce_lr_on_plateau',
'test_cast_op',
......@@ -990,7 +970,6 @@ TWO_PARALLEL_JOB = [
'test_functional_conv2d_transpose',
'test_functional_conv3d_transpose',
'test_dot_op',
'test_gru_op',
'test_device',
'test_imperative_layer_apply',
'test_dataloader_early_reset',
......@@ -1064,26 +1043,21 @@ TWO_PARALLEL_JOB = [
'test_imperative_optimizer',
'test_assign_value_op',
'test_roi_pool_op',
'test_imperative_basic',
'test_word2vec',
'test_manual_seed',
'test_buffer_shared_memory_reuse_pass',
'test_range',
'test_box_decoder_and_assign_op',
'test_imperative_optimizer_v2',
'test_python_operator_overriding',
'test_is_empty_op',
'test_imperative_qat',
'test_py_reader_pin_memory',
'test_train_recognize_digits',
'test_parallel_executor_feed_persistable_var',
'test_mnist',
'test_update_loss_scaling_op',
'test_rnn_cell_api',
'test_parallel_executor_fetch_isolated_var',
'test_imperative_load_static_param',
'test_fuse_bn_add_act_pass',
'test_buffer_shared_memory_reuse_pass_and_fuse_optimization_op_pass',
'test_quantize_transpiler_v2',
'paddle_infer_api_test',
'test_analyzer_ernie',
......
tools/windows/run_unittests.sh
浏览文件 @ eeca9639
......@@ -46,81 +46,44 @@ if [ ${WITH_GPU:-OFF} == "ON" ];then
set -e
fi
# /*==================Fixed Disabled Windows GPU MKL unittests==============================*/
# TODO: fix these unittest that is bound to fail
diable_wingpu_test="^lite_mul_model_test$|\
^test_analyzer_int8_resnet50$|\
^test_gradient_clip$|\
^test_translated_layer$|\
^test_imperative_resnet$|\
^test_imperative_resnet_sorted_gradient$|\
^test_model$|\
disable_wingpu_test="^test_model$|\
^test_dataloader_early_reset$|\
^test_add_reader_dependency$|\
^test_decoupled_py_reader$|\
^test_generator_dataloader$|\
^test_multiprocess_dataloader_iterable_dataset_static$|\
^test_parallel_dygraph_sync_batch_norm$|\
^test_py_reader_using_executor$|\
^test_parallel_executor_feed_persistable_var$|\
^test_parallel_executor_fetch_isolated_var$|\
^test_parallel_executor_inference_feed_partial_data$|\
^test_parallel_executor_seresnext_base_gpu$|\
^test_parallel_executor_seresnext_with_fuse_all_reduce_gpu$|\
^test_parallel_executor_seresnext_with_reduce_gpu$|\
^test_parallel_ssa_graph_inference_feed_partial_data$|\
^test_sync_batch_norm_op$|\
^test_fuse_relu_depthwise_conv_pass$|\
^test_buffer_shared_memory_reuse_pass$|\
^test_buffer_shared_memory_reuse_pass_and_fuse_optimization_op_pass$|\
^test_dataloader_keep_order$|\
^test_dataloader_unkeep_order$|\
^test_add_reader_dependency$|\
^test_cholesky_op$|\
^test_dataloader_early_reset$|\
^test_program_prune_backward$|\
^test_decoupled_py_reader_data_check$|\
^test_fleet_base_single$|\
^test_fuse_optimizer_pass$|\
^test_multiprocess_dataloader_iterable_dataset_dynamic$|\
^test_parallel_dygraph_sync_batch_norm$|\
^test_partial_eager_deletion_transformer$|\
^test_rnn_nets$|\
^test_parallel_executor_feed_persistable_var$|\
^test_parallel_executor_inference_feed_partial_data$|\
^test_parallel_ssa_graph_inference_feed_partial_data$|\
^test_py_reader_combination$|\
^test_py_reader_pin_memory$|\
^test_py_reader_push_pop$|\
^test_reader_reset$|\
^test_imperative_se_resnext$|\
^test_sync_batch_norm_op$|\
^test_imperative_static_runner_while$|\
^test_dataloader_keep_order$|\
^test_dataloader_unkeep_order$|\
^test_multiprocess_dataloader_iterable_dataset_static$|\
^test_fuse_bn_act_pass$|\
^test_fuse_bn_add_act_pass$|\
^test_gru_rnn_op$|\
^test_rnn_op$|\
^test_simple_rnn_op$|\
^test_lstm_cudnn_op$|\
^test_crypto$|\
^test_program_prune_backward$|\
^test_imperative_ocr_attention_model$|\
^test_sentiment$|\
^test_imperative_basic$|\
^test_jit_save_load$|\
^test_imperative_mnist$|\
^test_imperative_mnist_sorted_gradient$|\
^test_imperative_static_runner_mnist$|\
^test_fuse_all_reduce_pass$|\
^test_bert$|\
^test_lac$|\
^test_mnist$|\
^test_mobile_net$|\
^test_ptb_lm$|\
^test_ptb_lm_v2$|\
^test_se_resnet$|\
^test_imperative_qat_channelwise$|\
^test_imperative_qat$|\
^test_imperative_out_scale$|\
^diable_wingpu_test$"
^disable_wingpu_test$"
# /*============================================================================*/
# /*==================Fixed Disabled Windows CPU OPENBLAS unittests==============================*/
# TODO: fix these unittest that is bound to fail
diable_wincpu_test="^jit_kernel_test$|\
disable_wincpu_test="^jit_kernel_test$|\
^test_analyzer_transformer$|\
^test_vision_models$|\
^test_dygraph_multi_forward$|\
......@@ -134,10 +97,11 @@ diable_wincpu_test="^jit_kernel_test$|\
^test_mobile_net$|\
^test_resnet_v2$|\
^test_se_resnet$|\
^diable_wincpu_test$"
^disable_wincpu_test$"
# these unittest that cost long time, diabled temporarily, Maybe moved to the night
long_time_test="^best_fit_allocator_test$|\
^test_gru_op$|\
^decorator_test$|\
^test_dataset_cifar$|\
^test_dataset_imdb$|\
......@@ -223,7 +187,6 @@ long_time_test="^best_fit_allocator_test$|\
^test_strided_slice_op$"
if [ ${WITH_GPU:-OFF} == "ON" ];then
export FLAGS_call_stack_level=2
export FLAGS_fraction_of_gpu_memory_to_use=0.92
export CUDA_VISIBLE_DEVICES=0
......@@ -274,7 +237,7 @@ function collect_failed_tests() {
function run_unittest_cpu() {
tmpfile=$tmp_dir/$RANDOM
(ctest -E "$disable_ut_quickly|$diable_wincpu_test" -LE "${nightly_label}" --output-on-failure -C Release -j 8 | tee $tmpfile) &
(ctest -E "$disable_ut_quickly|$disable_wincpu_test" -LE "${nightly_label}" --output-on-failure -C Release -j 8 | tee $tmpfile) &
wait;
}
......@@ -292,16 +255,11 @@ function run_unittest_gpu() {
echo "************************************************************************"
export CUDA_VISIBLE_DEVICES=0
tmpfile=$tmp_dir/$RANDOM
(ctest -R "$test_case" -E "$disable_ut_quickly|$diable_wingpu_test|$long_time_test" -LE "${nightly_label}" --output-on-failure -C Release -j $parallel_job | tee $tmpfile ) &
(ctest -R "$test_case" -E "$disable_ut_quickly|$disable_wingpu_test|$long_time_test" -LE "${nightly_label}" --output-on-failure -C Release -j $parallel_job | tee $tmpfile ) &
wait;
}
function unittests_retry(){
if [ "${WITH_GPU:-OFF}" == "ON" ];then
parallel_job=1
else
parallel_job=4
fi
is_retry_execuate=0
wintest_error=1
retry_time=3
......@@ -338,7 +296,7 @@ function unittests_retry(){
echo "========================================="
rm -f $tmp_dir/*
failed_test_lists=''
(ctest -R "($retry_unittests_regular)" --output-on-failure -C Release -j $parallel_job| tee $tmpfile ) &
(ctest -R "($retry_unittests_regular)" --output-on-failure -C Release -j 1 | tee $tmpfile ) &
wait;
collect_failed_tests
exec_times=$(echo $exec_times | awk '{print $0+1}')
......@@ -382,6 +340,7 @@ function show_ut_retry_result() {
set +e
export FLAGS_call_stack_level=2
if [ "${WITH_GPU:-OFF}" == "ON" ];then
if [ -f "$PADDLE_ROOT/added_ut" ];then
added_uts=^$(awk BEGIN{RS=EOF}'{gsub(/\n/,"$|^");print}' $PADDLE_ROOT/added_ut)$
......
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