# 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. # /*================Fixed Disabled Windows CUDA10.x MKL(PR-CI-Windows) unittests===========================*/ # TODO: fix these unittest that is bound to fail disable_wingpu_test="^test_model$|\ ^test_dataloader_early_reset$|\ ^test_add_reader_dependency$|\ ^test_add_reader_dependency_for_interpretercore$|\ ^test_decoupled_py_reader$|\ ^test_generator_dataloader$|\ ^test_parallel_dygraph_sync_batch_norm$|\ ^test_py_reader_using_executor$|\ ^test_parallel_executor_seresnext_base_gpu$|\ ^test_parallel_executor_seresnext_with_fuse_all_reduce_gpu$|\ ^test_parallel_executor_seresnext_with_reduce_gpu$|\ ^test_program_prune_backward$|\ ^test_decoupled_py_reader_data_check$|\ ^test_fleet_base_single$|\ ^test_multiprocess_dataloader_iterable_dataset_dynamic$|\ ^test_parallel_executor_feed_persistable_var$|\ ^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_dataloader_keep_order$|\ ^test_dataloader_unkeep_order$|\ ^test_multiprocess_dataloader_iterable_dataset_static$|\ ^test_fuse_bn_act_pass$|\ ^test_fuse_bn_add_act_pass$|\ ^test_gather_op$|\ ^test_activation_op$|\ ^test_norm_nn_grad$|\ ^test_bilinear_interp_op$|\ ^disable_wingpu_test$" # /*=================Fixed Disabled Windows TRT MKL unittests=======================*/ # TODO: fix these unittest that is bound to fail disable_win_trt_test="^test_trt_convert_conv2d$|\ ^test_trt_convert_conv2d_fusion$|\ ^test_trt_convert_conv2d_transpose$|\ ^test_trt_convert_depthwise_conv2d$|\ ^test_trt_convert_emb_eltwise_layernorm$|\ ^test_trt_convert_pool2d$|\ ^test_trt_conv3d_op$|\ ^test_trt_subgraph_pass$|\ ^test_trt_convert_dropout$|\ ^test_trt_convert_hard_sigmoid$|\ ^test_trt_convert_reduce_mean$|\ ^test_trt_convert_reduce_sum$|\ ^test_trt_convert_group_norm$|\ ^test_trt_convert_batch_norm$|\ ^test_trt_convert_activation$|\ ^test_trt_convert_depthwise_conv2d_transpose$|\ ^test_trt_convert_elementwise$|\ ^test_trt_convert_matmul$|\ ^test_trt_convert_scale$" # /*==========Fixed Disabled Windows CUDA11.x inference_api_test(PR-CI-Windows-Inference) unittests=============*/ disable_win_inference_test="^trt_quant_int8_yolov3_r50_test$|\ ^test_trt_dynamic_shape_ernie$|\ ^test_trt_dynamic_shape_ernie_fp16_ser_deser$|\ ^lite_resnet50_test$|\ ^test_trt_dynamic_shape_transformer_prune$|\ ^lite_mul_model_test$|\ ^trt_split_converter_test$|\ ^paddle_infer_api_copy_tensor_tester$|\ ^test_trt_deformable_conv$|\ ^test_imperative_triple_grad$|\ ^test_full_name_usage$|\ ^test_trt_convert_unary$|\ ^test_eigh_op$|\ ^test_fc_op$|\ ^test_stack_op$|\ ^trt_split_converter_test$|\ ^paddle_infer_api_copy_tensor_tester$|\ ^test_var_base$|\ ^test_einsum_v2$|\ ^test_tensor_scalar_type_promotion_static$|\ ^test_matrix_power_op$|\ ^test_deformable_conv_v1_op$|\ ^test_where_index$|\ ^test_custom_grad_input$|\ ^test_conv3d_transpose_op$|\ ^test_conv_elementwise_add_act_fuse_pass$|\ ^test_conv_eltwiseadd_bn_fuse_pass$|\ ^test_custom_relu_op_setup$|\ ^test_conv3d_transpose_part2_op$|\ ^test_deform_conv2d$|\ ^test_matmul_op$|\ ^test_basic_api_transformation$|\ ^test_deformable_conv_op$|\ ^test_variable$|\ ^test_mkldnn_conv_hard_sigmoid_fuse_pass$|\ ^test_mkldnn_conv_hard_swish_fuse_pass$|\ ^test_conv_act_mkldnn_fuse_pass$|\ ^test_matmul_scale_fuse_pass$|\ ^test_addmm_op$|\ ^test_inverse_op$|\ ^test_set_value_op$|\ ^test_fused_multihead_matmul_op$|\ ^test_cudnn_bn_add_relu$|\ ^test_cond$|\ ^test_conv_bn_fuse_pass$|\ ^test_graph_khop_sampler$|\ ^test_gru_rnn_op$|\ ^test_masked_select_op$|\ ^test_ir_fc_fuse_pass$|\ ^test_fc_elementwise_layernorm_fuse_pass$|\ ^test_linalg_pinv_op$|\ ^test_math_op_patch_var_base$|\ ^test_slice$|\ ^test_conv_elementwise_add_fuse_pass$|\ ^test_executor_and_mul$|\ ^test_analyzer_int8_resnet50$|\ ^test_analyzer_int8_mobilenetv1$|\ ^test_trt_conv_pass$|\ ^test_roll_op$|\ ^test_lcm$|\ ^test_elementwise_floordiv_op$|\ ^test_autograd_functional_dynamic$|\ ^test_corr$|\ ^test_trt_convert_deformable_conv$|\ ^test_conv_elementwise_add2_act_fuse_pass$|\ ^test_tensor_scalar_type_promotion_dynamic$|\ ^test_model$|\ ^test_py_reader_combination$|\ ^test_trt_convert_flatten$|\ ^test_py_reader_push_pop$|\ ^test_parallel_executor_feed_persistable_var$|\ ^test_parallel_executor_inference_feed_partial_data$|\ ^test_parallel_ssa_graph_inference_feed_partial_data$|\ ^test_reader_reset$|\ ^test_parallel_executor_seresnext_base_gpu$|\ ^test_py_reader_pin_memory$|\ ^test_multiprocess_dataloader_iterable_dataset_dynamic$|\ ^test_multiprocess_dataloader_iterable_dataset_static$|\ ^test_add_reader_dependency$|\ ^test_add_reader_dependency_for_interpretercore$|\ ^test_compat$|\ ^test_decoupled_py_reader$|\ ^test_generator_dataloader$|\ ^test_py_reader_using_executor$|\ ^test_dataloader_keep_order$|\ ^test_dataloader_unkeep_order$|\ ^test_sync_batch_norm_op$|\ ^test_fuse_bn_act_pass$|\ ^test_fuse_bn_add_act_pass$|\ ^test_decoupled_py_reader_data_check$|\ ^test_parallel_dygraph_sync_batch_norm$|\ ^test_dataloader_early_reset$|\ ^test_fleet_base_single$|\ ^test_sequence_pool$|\ ^test_simplify_with_basic_ops_pass_autoscan$|\ ^test_trt_activation_pass$|\ ^test_trt_convert_hard_swish$|\ ^test_trt_convert_leaky_relu$|\ ^test_trt_convert_multihead_matmul$|\ ^test_trt_convert_prelu$|\ ^test_trt_fc_fuse_quant_dequant_pass$|\ ^test_unsqueeze2_eltwise_fuse_pass$|\ ^test_parallel_executor_seresnext_with_fuse_all_reduce_gpu$|\ ^test_parallel_executor_seresnext_with_reduce_gpu$|\ ^test_api_impl$|\ ^test_tensordot$|\ ^disable_win_inference_test$|\ ^test_imperative_double_grad$|\ ^test_imperative_triple_grad$" # /*==========Fixed Disabled Windows CPU OPENBLAS((PR-CI-Windows-OPENBLAS)) unittests==============================*/ # TODO: fix these unittest that is bound to fail disable_wincpu_test="^jit_kernel_test$|\ ^test_analyzer_transformer$|\ ^test_vision_models$|\ ^test_dygraph_multi_forward$|\ ^test_imperative_transformer_sorted_gradient$|\ ^test_program_prune_backward$|\ ^test_imperative_resnet$|\ ^test_imperative_resnet_sorted_gradient$|\ ^test_imperative_se_resnext$|\ ^test_bmn$|\ ^test_mobile_net$|\ ^test_resnet_v2$|\ ^test_build_strategy$|\ ^test_se_resnet$|\ ^disable_wincpu_test$" # these unittest that cost long time, diabled temporarily, Maybe moved to the night long_time_test="^test_gru_op$|\ ^decorator_test$|\ ^test_dataset_imdb$|\ ^test_datasets$|\ ^test_pretrained_model$|\ ^test_gather_op$|\ ^test_gather_nd_op$|\ ^test_sequence_conv$|\ ^test_space_to_depth_op$|\ ^test_activation_nn_grad$|\ ^test_activation_op$|\ ^test_bicubic_interp_v2_op$|\ ^test_bilinear_interp_v2_op$|\ ^test_crop_tensor_op$|\ ^test_cross_entropy2_op$|\ ^test_cross_op$|\ ^test_elementwise_nn_grad$|\ ^test_fused_elemwise_activation_op$|\ ^test_imperative_lod_tensor_to_selected_rows$|\ ^test_imperative_selected_rows_to_lod_tensor$|\ ^test_layer_norm_op$|\ ^test_multiclass_nms_op$|\ ^test_nearest_interp_v2_op$|\ ^test_nn_grad$|\ ^test_norm_nn_grad$|\ ^test_normal$|\ ^test_pool3d_op$|\ ^test_static_save_load$|\ ^test_trilinear_interp_op$|\ ^test_trilinear_interp_v2_op$|\ ^test_bilinear_interp_op$|\ ^test_nearest_interp_op$|\ ^test_sequence_conv$|\ ^test_sgd_op$|\ ^test_transformer$|\ ^test_trt_matmul_quant_dequant$|\ ^test_strided_slice_op$" # /*============================================================================*/ set -e set +x NIGHTLY_MODE=$1 PRECISION_TEST=$2 WITH_GPU=$3 # Step1: Print disable_ut_quickly export PADDLE_ROOT="$(cd "$PWD/../" && pwd )" if [ ${NIGHTLY_MODE:-OFF} == "ON" ]; then nightly_label="" else nightly_label="(RUN_TYPE=NIGHTLY|RUN_TYPE=DIST:NIGHTLY|RUN_TYPE=EXCLUSIVE:NIGHTLY)" echo "=========================================" echo "Unittests with nightly labels are only run at night" echo "=========================================" fi if disable_ut_quickly=$(python ${PADDLE_ROOT}/tools/get_quick_disable_lt.py); then echo "=========================================" echo "The following unittests have been disabled:" echo ${disable_ut_quickly} echo "=========================================" else disable_ut_quickly='' fi # Step2: Check added ut set +e cp $PADDLE_ROOT/tools/check_added_ut.sh $PADDLE_ROOT/tools/check_added_ut_win.sh bash $PADDLE_ROOT/tools/check_added_ut_win.sh rm -rf $PADDLE_ROOT/tools/check_added_ut_win.sh if [ -f "$PADDLE_ROOT/added_ut" ];then added_uts=^$(awk BEGIN{RS=EOF}'{gsub(/\n/,"$|^");print}' $PADDLE_ROOT/added_ut)$ ctest -R "(${added_uts})" -E "${disable_win_inference_test}" --output-on-failure -C Release --repeat-until-fail 3;added_ut_error=$? #rm -f $PADDLE_ROOT/added_ut if [ "$added_ut_error" != 0 ];then echo "========================================" echo "Added UT should pass three additional executions" echo "========================================" exit 8; fi fi # Step3: Get precision UT and intersect with parallel UT, generate tools/*_new file set -e if [ ${WITH_GPU:-OFF} == "ON" ];then export CUDA_VISIBLE_DEVICES=0 ctest -N | awk -F ': ' '{print $2}' | sed '/^$/d' | sed '$d' > all_ut_list num=$(ctest -N | awk -F ': ' '{print $2}' | sed '/^$/d' | sed '$d' | wc -l) echo "Windows 1 card TestCases count is $num" if [ ${PRECISION_TEST:-OFF} == "ON" ]; then python ${PADDLE_ROOT}/tools/get_pr_ut.py || echo "Failed to obtain ut_list !" fi python ${PADDLE_ROOT}/tools/group_case_for_parallel.py ${PADDLE_ROOT} fi failed_test_lists='' tmp_dir=`mktemp -d` function collect_failed_tests() { set +e for file in `ls $tmp_dir`; do grep -q 'The following tests FAILED:' $tmp_dir/$file exit_code=$? if [ $exit_code -ne 0 ]; then failuretest='' else failuretest=`grep -A 10000 'The following tests FAILED:' $tmp_dir/$file | sed 's/The following tests FAILED://g'|sed '/^$/d'` failed_test_lists="${failed_test_lists} ${failuretest}" fi done set -e } function run_unittest_cpu() { tmpfile=$tmp_dir/$RANDOM (ctest -E "$disable_ut_quickly|$disable_wincpu_test" -LE "${nightly_label}" --output-on-failure -C Release -j 8 | tee $tmpfile) & wait; } function run_unittest_gpu() { test_case=$1 parallel_job=$2 parallel_level_base=${CTEST_PARALLEL_LEVEL:-1} if [ "$2" == "" ]; then parallel_job=$parallel_level_base else # set parallel_job according to CUDA memory and suggested parallel num, # the latter is derived in linux server with 16G CUDA memory. cuda_memory=$(nvidia-smi --query-gpu=memory.total --format=csv | tail -1 | awk -F ' ' '{print $1}') parallel_job=$(($2 * $cuda_memory / 16000)) if [ $parallel_job -lt 1 ]; then parallel_job=1 fi fi echo "************************************************************************" echo "********These unittests run $parallel_job job each time with 1 GPU**********" echo "************************************************************************" export CUDA_VISIBLE_DEVICES=0 if nvcc --version | grep 11.2; then disable_wingpu_test=${disable_win_inference_test} fi tmpfile=$tmp_dir/$RANDOM (ctest -R "$test_case" -E "$disable_ut_quickly|$disable_wingpu_test|$disable_win_trt_test|$long_time_test" -LE "${nightly_label}" --output-on-failure -C Release -j $parallel_job | tee $tmpfile ) & wait; } function unittests_retry(){ is_retry_execuate=0 wintest_error=1 retry_time=3 exec_times=0 exec_retry_threshold=30 retry_unittests=$(echo "${failed_test_lists}" | grep -oEi "\-.+\(" | sed 's/(//' | sed 's/- //' ) need_retry_ut_counts=$(echo "$retry_unittests" |awk -F ' ' '{print }'| sed '/^$/d' | wc -l) retry_unittests_regular=$(echo "$retry_unittests" |awk -F ' ' '{print }' | awk 'BEGIN{ all_str=""}{if (all_str==""){all_str=$1}else{all_str=all_str"$|^"$1}} END{print "^"all_str"$"}') tmpfile=$tmp_dir/$RANDOM if [ $need_retry_ut_counts -lt $exec_retry_threshold ];then retry_unittests_record='' while ( [ $exec_times -lt $retry_time ] ) do retry_unittests_record="$retry_unittests_record$failed_test_lists" if ( [[ "$exec_times" == "0" ]] );then cur_order='first' elif ( [[ "$exec_times" == "1" ]] );then cur_order='second' if [[ "$failed_test_lists" == "" ]]; then break else retry_unittests=$(echo "${failed_test_lists}" | grep -oEi "\-.+\(" | sed 's/(//' | sed 's/- //' ) retry_unittests_regular=$(echo "$retry_unittests" |awk -F ' ' '{print }' | awk 'BEGIN{ all_str=""}{if (all_str==""){all_str=$1}else{all_str=all_str"$|^"$1}} END{print "^"all_str"$"}') fi elif ( [[ "$exec_times" == "2" ]] );then cur_order='third' fi echo "=========================================" echo "This is the ${cur_order} time to re-run" echo "=========================================" echo "The following unittest will be re-run:" echo "${retry_unittests}" echo "=========================================" rm -f $tmp_dir/* failed_test_lists='' (ctest -R "($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}') done else # There are more than 30 failed unit tests, so no unit test retry is_retry_execuate=1 fi rm -f $tmp_dir/* } function show_ut_retry_result() { if [[ "$is_retry_execuate" != "0" ]];then failed_test_lists_ult=`echo "${failed_test_lists}"` echo "=========================================" echo "There are more than 30 failed unit tests, so no unit test retry!!!" echo "=========================================" echo "${failed_test_lists_ult}" exit 8; else retry_unittests_ut_name=$(echo "$retry_unittests_record" | grep -oEi "\-.+\(" | sed 's/(//' | sed 's/- //' ) retry_unittests_record_judge=$(echo ${retry_unittests_ut_name}| tr ' ' '\n' | sort | uniq -c | awk '{if ($1 >=3) {print $2}}') if [ -z "${retry_unittests_record_judge}" ];then echo "========================================" echo "There are failed tests, which have been successful after re-run:" echo "========================================" echo "The following tests have been re-run:" echo "${retry_unittests_record}" else failed_ut_re=$(echo "${retry_unittests_record_judge}" | awk 'BEGIN{ all_str=""}{if (all_str==""){all_str=$1}else{all_str=all_str"|"$1}} END{print all_str}') echo "========================================" echo "There are failed tests, which have been executed re-run,but success rate is less than 50%:" echo "Summary Failed Tests... " echo "========================================" echo "The following tests FAILED: " echo "${retry_unittests_record}" | grep -E "$failed_ut_re" exit 8; fi fi } # Step4: Run UT gpu or cpu set +e export FLAGS_call_stack_level=2 if [ "${WITH_GPU:-OFF}" == "ON" ];then single_ut_mem_0_startTime_s=`date +%s` while read line do run_unittest_gpu "$line" 16 done < $PADDLE_ROOT/tools/single_card_tests_mem0_new single_ut_mem_0_endTime_s=`date +%s` single_ut_mem_0_Time_s=`expr $single_ut_mem_0_endTime_s - $single_ut_mem_0_startTime_s` echo "ipipe_log_param_1_mem_0_TestCases_Total_Time: $single_ut_mem_0_Time_s s" single_ut_startTime_s=`date +%s` while read line do num=`echo $line | awk -F"$" '{print NF-1}'` para_num=`expr $num / 3` if [ $para_num -eq 0 ]; then para_num=4 fi run_unittest_gpu "$line" $para_num done < $PADDLE_ROOT/tools/single_card_tests_new single_ut_endTime_s=`date +%s` single_ut_Time_s=`expr $single_ut_endTime_s - $single_ut_startTime_s` echo "ipipe_log_param_1_TestCases_Total_Time: $single_ut_Time_s s" multiple_ut_mem_0_startTime_s=`date +%s` while read line do run_unittest_gpu "$line" 10 done < $PADDLE_ROOT/tools/multiple_card_tests_mem0_new multiple_ut_mem_0_endTime_s=`date +%s` multiple_ut_mem_0_Time_s=`expr $multiple_ut_mem_0_endTime_s - $multiple_ut_mem_0_startTime_s` echo "ipipe_log_param_2_mem0_TestCases_Total_Time: $multiple_ut_mem_0_Time_s s" multiple_ut_startTime_s=`date +%s` while read line do num=`echo $line | awk -F"$" '{print NF-1}'` para_num=`expr $num / 3` if [ $para_num -eq 0 ]; then para_num=4 fi run_unittest_gpu "$line" $para_num done < $PADDLE_ROOT/tools/multiple_card_tests_new multiple_ut_endTime_s=`date +%s` multiple_ut_Time_s=`expr $multiple_ut_endTime_s - $multiple_ut_startTime_s` echo "ipipe_log_param_2_TestCases_Total_Time: $multiple_ut_Time_s s" exclusive_ut_mem_0_startTime_s=`date +%s` while read line do run_unittest_gpu "$line" 10 done < $PADDLE_ROOT/tools/exclusive_card_tests_mem0_new exclusive_ut_mem_0_endTime_s=`date +%s` exclusive_ut_mem_0_Time_s=`expr $exclusive_ut_mem_0_endTime_s - $exclusive_ut_mem_0_startTime_s` echo "ipipe_log_param_-1_mem0_TestCases_Total_Time: $exclusive_ut_mem_0_Time_s s" exclusive_ut_startTime_s=`date +%s` while read line do num=`echo $line | awk -F"$" '{print NF-1}'` para_num=`expr $num / 3` if [ $para_num -eq 0 ]; then para_num=4 fi run_unittest_gpu "$line" $para_num done < $PADDLE_ROOT/tools/exclusive_card_tests_new exclusive_ut_endTime_s=`date +%s` exclusive_ut_Time_s=`expr $exclusive_ut_endTime_s - $exclusive_ut_startTime_s` echo "ipipe_log_param_-1_TestCases_Total_Time: $exclusive_ut_Time_s s" noparallel_ut_startTime_s=`date +%s` while read line do run_unittest_gpu "$line" 3 done < $PADDLE_ROOT/tools/no_parallel_case_file noparallel_ut_endTime_s=`date +%s` noparallel_ut_Time_s=`expr $noparallel_ut_endTime_s - $noparallel_ut_startTime_s` echo "ipipe_log_param_noparallel_TestCases_Total_Time: $noparallel_ut_Time_s s" else run_unittest_cpu fi collect_failed_tests set -e rm -f $tmp_dir/* if [[ "$failed_test_lists" != "" ]]; then unittests_retry show_ut_retry_result fi