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554 lines
29 KiB
554 lines
29 KiB
if (NOT APPLE AND NOT WIN32)
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set(INFERENCE_EXTRA_DEPS paddle_fluid_shared)
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else()
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set(INFERENCE_EXTRA_DEPS paddle_inference_api paddle_fluid_api ir_pass_manager analysis_predictor benchmark)
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endif()
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if(WITH_GPU AND TENSORRT_FOUND)
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set(INFERENCE_EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} analysis ${analysis_deps})
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endif()
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function(download_data install_dir data_file)
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string(REGEX MATCH "[^/\\]+$" file_name ${data_file})
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if (NOT EXISTS ${install_dir}/${file_name})
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inference_download_and_uncompress(${install_dir} ${INFERENCE_URL} ${data_file})
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endif()
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endfunction()
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function(download_int8_data install_dir data_file)
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if (NOT EXISTS ${install_dir}/${data_file})
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inference_download_and_uncompress(${install_dir} ${INFERENCE_URL}/int8 ${data_file})
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endif()
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endfunction()
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function(download_GRU_data install_dir data_file)
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if (NOT EXISTS ${install_dir}/${data_file})
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inference_download_and_uncompress(${install_dir} ${INFERENCE_URL}/gru ${data_file})
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endif()
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endfunction()
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function(download_quant_data install_dir data_file)
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if (NOT EXISTS ${install_dir}/${data_file})
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inference_download_and_uncompress(${install_dir} ${INFERENCE_URL}/int8/QAT_models ${data_file})
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endif()
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endfunction()
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function(download_model_and_data install_dir model_name data_name)
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download_data(${install_dir} ${model_name})
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download_data(${install_dir} ${data_name})
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endfunction()
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function(download_result install_dir result_name)
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download_data(${install_dir} ${result_name})
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endfunction()
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function(inference_analysis_api_test target install_dir filename)
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inference_analysis_test(${target} SRCS ${filename}
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EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
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ARGS --infer_model=${install_dir}/model --infer_data=${install_dir}/data.txt --refer_result=${install_dir}/result.txt)
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endfunction()
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function(inference_analysis_api_test_build TARGET_NAME filename)
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inference_analysis_test_build(${TARGET_NAME} SRCS ${filename}
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EXTRA_DEPS ${INFERENCE_EXTRA_DEPS})
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endfunction()
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function(inference_analysis_api_int8_test_run TARGET_NAME test_binary model_dir data_path)
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inference_analysis_test_run(${TARGET_NAME}
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COMMAND ${test_binary}
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ARGS --infer_model=${model_dir}/model
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--infer_data=${data_path}
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--warmup_batch_size=${WARMUP_BATCH_SIZE}
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--batch_size=50
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--cpu_num_threads=${CPU_NUM_THREADS_ON_CI}
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--iterations=2)
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endfunction()
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function(inference_analysis_api_int8_test_run_custom_warmup_batch_size TARGET_NAME test_binary model_dir data_path warmup_batch_size)
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set(WARMUP_BATCH_SIZE ${warmup_batch_size})
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inference_analysis_api_int8_test_run(${TARGET_NAME} ${test_binary} ${model_dir} ${data_path})
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endfunction()
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function(inference_analysis_api_object_dection_int8_test_run TARGET_NAME test_binary model_dir data_path)
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inference_analysis_test_run(${TARGET_NAME}
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COMMAND ${test_binary}
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ARGS --infer_model=${model_dir}/model
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--infer_data=${data_path}
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--warmup_batch_size=10
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--batch_size=300
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--cpu_num_threads=${CPU_NUM_THREADS_ON_CI}
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--iterations=1)
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endfunction()
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function(inference_analysis_api_test_with_fake_data_build TARGET_NAME filename)
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inference_analysis_test_build(${TARGET_NAME} SRCS ${filename}
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EXTRA_DEPS ${INFERENCE_EXTRA_DEPS})
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endfunction()
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function(inference_analysis_api_test_with_fake_data_run TARGET_NAME test_binary model_dir disable_fc)
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inference_analysis_test_run(${TARGET_NAME}
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COMMAND ${test_binary}
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ARGS --infer_model=${model_dir}/model
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--disable_mkldnn_fc=${disable_fc})
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endfunction()
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function(inference_analysis_api_quant_test_run TARGET_NAME test_binary fp32_model_dir int8_model_dir data_path)
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inference_analysis_test_run(${TARGET_NAME}
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COMMAND ${test_binary}
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ARGS --fp32_model=${fp32_model_dir}
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--int8_model=${int8_model_dir}
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--infer_data=${data_path}
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--batch_size=50
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--cpu_num_threads=${CPU_NUM_THREADS_ON_CI}
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--with_accuracy_layer=false
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--iterations=2)
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endfunction()
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function(inference_analysis_api_lexical_test_run TARGET_NAME test_binary infer_model data_path)
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inference_analysis_test_run(${TARGET_NAME}
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COMMAND ${test_binary}
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ARGS --infer_model=${infer_model}
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--infer_data=${data_path}
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--batch_size=50
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--cpu_num_threads=${CPU_NUM_THREADS_ON_CI}
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--with_accuracy_layer=true
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--use_analysis=true
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--iterations=2)
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endfunction()
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function(preprocess_data2bin_test_run target py_script_source data_dir output_file)
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py_test(${target} SRCS ${CMAKE_CURRENT_SOURCE_DIR}/${py_script_source}
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ARGS --data_dir=${data_dir}
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--output_file=${output_file}
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--local)
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endfunction()
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if(NOT APPLE AND WITH_MKLML)
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# RNN1
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set(RNN1_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/rnn1")
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download_model_and_data(${RNN1_INSTALL_DIR} "rnn1/model.tar.gz" "rnn1/data.txt.tar.gz")
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inference_analysis_api_test(test_analyzer_rnn1 ${RNN1_INSTALL_DIR} analyzer_rnn1_tester.cc)
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# seq_pool1
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set(SEQ_POOL1_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/seq_pool")
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download_model_and_data(${SEQ_POOL1_INSTALL_DIR} "seq_pool1_model_.tar.gz" "seq_pool1_data.txt.tar.gz")
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inference_analysis_api_test(test_analyzer_seq_pool1_compare_determine ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_compare_determine_tester.cc)
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inference_analysis_api_test(test_analyzer_seq_pool1 ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_compare_tester.cc)
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inference_analysis_api_test(test_analyzer_seq_pool1_fuse_compare_zero_copy ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_fuse_compare_zero_copy_tester.cc)
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inference_analysis_api_test(test_analyzer_seq_pool1_fuse_statis ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_fuse_statis_tester.cc)
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inference_analysis_api_test(test_analyzer_seq_pool1_profile ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_profile_tester.cc)
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if(NOT WIN32)
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set_tests_properties(test_analyzer_seq_pool1_compare_determine PROPERTIES TIMEOUT 120)
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set_tests_properties(test_analyzer_seq_pool1 PROPERTIES TIMEOUT 120)
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set_tests_properties(test_analyzer_seq_pool1_fuse_compare_zero_copy PROPERTIES TIMEOUT 120)
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set_tests_properties(test_analyzer_seq_pool1_fuse_statis PROPERTIES TIMEOUT 120)
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set_tests_properties(test_analyzer_seq_pool1_profile PROPERTIES TIMEOUT 120)
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endif()
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else()
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# TODO: fix this test on MACOS and OPENBLAS, the reason is that
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# fusion_seqexpand_concat_fc_op is not supported on MACOS and OPENBLAS
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message(WARNING "These tests has been disabled in OSX or WITH_MKL=OFF before being fixed: \n test_analyzer_rnn1")
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message(WARNING "These tests has been disabled in OSX or WITH_MKL=OFF before being fixed: \n test_analyzer_seq_pool1")
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endif()
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# RNN2
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set(RNN2_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/rnn2")
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download_model_and_data(${RNN2_INSTALL_DIR} "rnn2_model.tar.gz" "rnn2_data.txt.tar.gz")
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inference_analysis_api_test(test_analyzer_rnn2 ${RNN2_INSTALL_DIR} analyzer_rnn2_tester.cc)
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# TODO(luotao, Superjom) Disable DAM test, temporarily fix
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# https://github.com/PaddlePaddle/Paddle/issues/15032#issuecomment-455990914.
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# After inference framework refactor, will reopen it.
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# normal DAM
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set(DAM_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/dam")
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download_model_and_data(${DAM_INSTALL_DIR} "DAM_model.tar.gz" "DAM_data.txt.tar.gz")
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#inference_analysis_api_test(test_analyzer_dam ${DAM_INSTALL_DIR} analyzer_dam_tester.cc EXTRA_DEPS legacy_allocator)
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# small DAM
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set(DAM_SMALL_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/small_dam")
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download_model_and_data(${DAM_SMALL_INSTALL_DIR} "dam_small_model.tar.gz" "dam_small_data.txt.tar.gz")
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inference_analysis_test(test_analyzer_small_dam SRCS analyzer_dam_tester.cc
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EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
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ARGS --infer_model=${DAM_SMALL_INSTALL_DIR}/model --infer_data=${DAM_SMALL_INSTALL_DIR}/data.txt)
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#save model
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inference_analysis_api_test(test_analyzer_save_model ${DAM_SMALL_INSTALL_DIR} analyzer_save_model_tester.cc)
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# chinese_ner
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set(CHINESE_NER_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/chinese_ner")
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download_model_and_data(${CHINESE_NER_INSTALL_DIR} "chinese_ner_model.tar.gz" "chinese_ner-data.txt.tar.gz")
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inference_analysis_api_test(test_analyzer_ner ${CHINESE_NER_INSTALL_DIR} analyzer_ner_tester.cc)
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# lac
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set(LAC_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/lac")
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download_model_and_data(${LAC_INSTALL_DIR} "lac_model.tar.gz" "lac_data.txt.tar.gz")
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inference_analysis_api_test(test_analyzer_lac ${LAC_INSTALL_DIR} analyzer_lac_tester.cc)
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# Pyramid DNN
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set(PYRAMID_DNN_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/pyramid_dnn")
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download_model_and_data(${PYRAMID_DNN_INSTALL_DIR} "PyramidDNN_model.tar.gz" "PyramidDNN_data.txt.tar.gz")
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inference_analysis_api_test(test_analyzer_pyramid_dnn ${PYRAMID_DNN_INSTALL_DIR} analyzer_pyramid_dnn_tester.cc)
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#Ernie
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set(ERNIE_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/Ernie")
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download_model_and_data(${ERNIE_INSTALL_DIR} "Ernie_model.tar.gz" "Ernie_data.txt.tar.gz" "Ernie_result.txt.tar.gz")
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download_result(${ERNIE_INSTALL_DIR} "Ernie_result.txt.tar.gz")
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inference_analysis_api_test(test_analyzer_ernie ${ERNIE_INSTALL_DIR} analyzer_ernie_tester.cc)
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#Ernie large
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set(ERNIE_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/Ernie_Large")
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download_model_and_data(${ERNIE_INSTALL_DIR} "Ernie_large_model.tar.gz" "Ernie_large_data.txt.tar.gz" "Ernie_large_result.txt.tar.gz")
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download_result(${ERNIE_INSTALL_DIR} "Ernie_large_result.txt.tar.gz")
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inference_analysis_test(test_analyzer_ernie_large SRCS analyzer_ernie_tester.cc
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EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
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ARGS --infer_model=${ERNIE_INSTALL_DIR}/model --infer_data=${ERNIE_INSTALL_DIR}/data.txt --refer_result=${ERNIE_INSTALL_DIR}/result.txt --ernie_large=true)
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if(NOT WIN32 AND NOT APPLE)
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set_tests_properties(test_analyzer_ernie_large PROPERTIES TIMEOUT 150 LABELS "RUN_TYPE=NIGHTLY")
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endif()
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if (WIN32)
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set_tests_properties(test_analyzer_ernie_large PROPERTIES TIMEOUT 200)
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endif()
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# text_classification
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set(TEXT_CLASSIFICATION_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/text_classification")
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download_model_and_data(${TEXT_CLASSIFICATION_INSTALL_DIR} "text-classification-Senta.tar.gz" "text_classification_data.txt.tar.gz")
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inference_analysis_api_test(test_analyzer_text_classification ${TEXT_CLASSIFICATION_INSTALL_DIR} analyzer_text_classification_tester.cc)
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# seq_conv1
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set(SEQ_CONV1_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/seq_conv1")
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download_model_and_data(${SEQ_CONV1_INSTALL_DIR} "seq_conv1_model.tar.gz" "seq_conv1_data.txt.tar.gz")
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inference_analysis_api_test(test_analyzer_seq_conv1 ${SEQ_CONV1_INSTALL_DIR} analyzer_seq_conv1_tester.cc)
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# transformer, the dataset only works on batch_size=8 now
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set(TRANSFORMER_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/transformer")
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download_model_and_data(${TRANSFORMER_INSTALL_DIR} "temp/transformer_model.tar.gz" "temp/transformer_data.txt.tar.gz")
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inference_analysis_test(test_analyzer_transformer SRCS analyzer_transformer_compare_tester.cc
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EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
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ARGS --infer_model=${TRANSFORMER_INSTALL_DIR}/model --infer_data=${TRANSFORMER_INSTALL_DIR}/data.txt --batch_size=8
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--cpu_num_threads=${CPU_NUM_THREADS_ON_CI})
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inference_analysis_test(test_analyzer_transformer_fuse SRCS analyzer_transformer_fuse_tester.cc
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EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
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ARGS --infer_model=${TRANSFORMER_INSTALL_DIR}/model --infer_data=${TRANSFORMER_INSTALL_DIR}/data.txt --batch_size=8
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--cpu_num_threads=${CPU_NUM_THREADS_ON_CI})
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inference_analysis_test(test_analyzer_transformer_profile SRCS analyzer_transformer_profile_tester.cc
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EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
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ARGS --infer_model=${TRANSFORMER_INSTALL_DIR}/model --infer_data=${TRANSFORMER_INSTALL_DIR}/data.txt --batch_size=8
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--cpu_num_threads=${CPU_NUM_THREADS_ON_CI})
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# ocr
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set(OCR_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/ocr")
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if (NOT EXISTS ${OCR_INSTALL_DIR}/ocr.tar.gz)
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inference_download_and_uncompress(${OCR_INSTALL_DIR} "http://paddlemodels.bj.bcebos.com/" "inference-vis-demos/ocr.tar.gz")
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endif()
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inference_analysis_api_test(test_analyzer_ocr ${OCR_INSTALL_DIR} analyzer_vis_tester.cc)
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# densebox
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set(DENSEBOX_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/densebox")
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download_data(${DENSEBOX_INSTALL_DIR} "densebox.tar.gz")
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inference_analysis_test(test_analyzer_detect SRCS analyzer_detect_tester.cc
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EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
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ARGS --infer_model=${DENSEBOX_INSTALL_DIR}/model --infer_data=${DENSEBOX_INSTALL_DIR}/detect_input_50.txt
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--infer_shape=${DENSEBOX_INSTALL_DIR}/shape_50.txt)
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set_property(TEST test_analyzer_detect PROPERTY ENVIRONMENT GLOG_vmodule=analysis_predictor=2)
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# mobilenet with transpose op
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set(MOBILENET_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/mobilenet")
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if (NOT EXISTS ${MOBILENET_INSTALL_DIR}/mobilenet.tar.gz)
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inference_download_and_uncompress(${MOBILENET_INSTALL_DIR} "http://paddlemodels.bj.bcebos.com/" "inference-vis-demos/mobilenet.tar.gz")
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endif()
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inference_analysis_api_test(test_analyzer_mobilenet_transpose ${MOBILENET_INSTALL_DIR} analyzer_vis_tester.cc)
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### Image classification tests with fake data
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set(IMG_CLASS_TEST_APP "test_analyzer_image_classification")
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set(IMG_CLASS_TEST_APP_SRC "analyzer_image_classification_tester.cc")
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# build test binary to be used in subsequent tests
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inference_analysis_api_test_with_fake_data_build(${IMG_CLASS_TEST_APP} ${IMG_CLASS_TEST_APP_SRC})
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# googlenet
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set(GOOGLENET_MODEL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/googlenet")
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download_data(${GOOGLENET_MODEL_DIR} "googlenet.tar.gz")
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inference_analysis_api_test_with_fake_data_run(test_analyzer_googlenet ${IMG_CLASS_TEST_APP}
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${GOOGLENET_MODEL_DIR} false)
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# resnet50
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set(RESNET50_MODEL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/resnet50")
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download_data(${RESNET50_MODEL_DIR} "resnet50_model.tar.gz")
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inference_analysis_api_test_with_fake_data_run(test_analyzer_resnet50 ${IMG_CLASS_TEST_APP}
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${RESNET50_MODEL_DIR} true)
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if (WIN32)
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set_tests_properties(test_analyzer_resnet50 PROPERTIES TIMEOUT 200)
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endif()
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# mobilenet with depthwise_conv op
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set(MOBILENET_MODEL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/mobilenet_depthwise_conv")
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download_data(${MOBILENET_MODEL_DIR} "mobilenet_model.tar.gz")
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inference_analysis_api_test_with_fake_data_run(test_analyzer_mobilenet_depthwise_conv ${IMG_CLASS_TEST_APP}
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${MOBILENET_MODEL_DIR} false)
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if(WITH_MKLDNN)
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### INT8 tests
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set(INT8_DATA_DIR "${INFERENCE_DEMO_INSTALL_DIR}/int8v2")
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## Image classification models
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# ImageNet small dataset
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# It may be already downloaded for Quant & INT8 unit tests
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set(IMAGENET_DATA_ARCHIVE "imagenet_val_100_tail.tar.gz")
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set(IMAGENET_DATA_DIR "${INFERENCE_DEMO_INSTALL_DIR}/imagenet")
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set(IMAGENET_DATA_PATH "${IMAGENET_DATA_DIR}/data.bin")
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download_int8_data(${IMAGENET_DATA_DIR} ${IMAGENET_DATA_ARCHIVE})
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# build test binary to be used in subsequent tests
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set(INT8_IMG_CLASS_TEST_APP "test_analyzer_int8_image_classification")
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set(INT8_IMG_CLASS_TEST_APP_SRC "analyzer_int8_image_classification_tester.cc")
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inference_analysis_api_test_build(${INT8_IMG_CLASS_TEST_APP} ${INT8_IMG_CLASS_TEST_APP_SRC})
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# resnet50 int8
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set(INT8_RESNET50_MODEL_DIR "${INT8_DATA_DIR}/resnet50")
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download_int8_data(${INT8_RESNET50_MODEL_DIR} "resnet50_int8_model.tar.gz" )
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inference_analysis_api_int8_test_run(test_analyzer_int8_resnet50 ${INT8_IMG_CLASS_TEST_APP} ${INT8_RESNET50_MODEL_DIR} ${IMAGENET_DATA_PATH})
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# mobilenetv1 int8
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set(INT8_MOBILENETV1_MODEL_DIR "${INT8_DATA_DIR}/mobilenetv1")
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download_int8_data(${INT8_MOBILENETV1_MODEL_DIR} "mobilenetv1_int8_model.tar.gz" )
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inference_analysis_api_int8_test_run(test_analyzer_int8_mobilenetv1 ${INT8_IMG_CLASS_TEST_APP} ${INT8_MOBILENETV1_MODEL_DIR} ${IMAGENET_DATA_PATH})
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# mobilenetv2 int8
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set(INT8_MOBILENETV2_MODEL_DIR "${INT8_DATA_DIR}/mobilenetv2")
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download_int8_data(${INT8_MOBILENETV2_MODEL_DIR} "mobilenet_v2_int8_model.tar.gz" )
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inference_analysis_api_int8_test_run(test_analyzer_int8_mobilenetv2 ${INT8_IMG_CLASS_TEST_APP} ${INT8_MOBILENETV2_MODEL_DIR} ${IMAGENET_DATA_PATH})
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# resnet101 int8
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# TODO(grygielski) Enable after MKL-DNN 1.0 merge
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set(INT8_RESNET101_MODEL_DIR "${INT8_DATA_DIR}/resnet101")
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download_int8_data(${INT8_RESNET101_MODEL_DIR} "Res101_int8_model.tar.gz" )
|
|
# inference_analysis_api_int8_test_run(test_analyzer_int8_resnet101 ${INT8_IMG_CLASS_TEST_APP} ${INT8_RESNET101_MODEL_DIR} ${IMAGENET_DATA_PATH})
|
|
|
|
# vgg16 int8
|
|
# TODO(grygielski) Enable after MKL-DNN 1.0 merge
|
|
set(INT8_VGG16_MODEL_DIR "${INT8_DATA_DIR}/vgg16")
|
|
download_int8_data(${INT8_VGG16_MODEL_DIR} "VGG16_int8_model.tar.gz" )
|
|
# inference_analysis_api_int8_test_run(test_analyzer_int8_vgg16 ${INT8_IMG_CLASS_TEST_APP} ${INT8_VGG16_MODEL_DIR} ${IMAGENET_DATA_PATH})
|
|
|
|
# vgg19 int8
|
|
# TODO(grygielski) Enable after MKL-DNN 1.0 merge
|
|
set(INT8_VGG19_MODEL_DIR "${INT8_DATA_DIR}/vgg19")
|
|
download_int8_data(${INT8_VGG19_MODEL_DIR} "VGG19_int8_model.tar.gz" )
|
|
# inference_analysis_api_int8_test_run(test_analyzer_int8_vgg19 ${INT8_IMG_CLASS_TEST_APP} ${INT8_VGG19_MODEL_DIR} ${IMAGENET_DATA_PATH})
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|
|
|
# googlenet int8
|
|
set(INT8_GOOGLENET_MODEL_DIR "${INT8_DATA_DIR}/googlenet")
|
|
download_int8_data(${INT8_GOOGLENET_MODEL_DIR} "GoogleNet_int8_model.tar.gz" )
|
|
inference_analysis_api_int8_test_run_custom_warmup_batch_size(test_analyzer_int8_googlenet ${INT8_IMG_CLASS_TEST_APP} ${INT8_GOOGLENET_MODEL_DIR} ${IMAGENET_DATA_PATH} 10)
|
|
|
|
### Object detection models
|
|
set(PASCALVOC_DATA_PATH "${INT8_DATA_DIR}/pascalvoc_val_head_300.bin")
|
|
set(INT8_OBJ_DETECT_TEST_APP "test_analyzer_int8_object_detection")
|
|
set(INT8_OBJ_DETECT_TEST_APP_SRC "analyzer_int8_object_detection_tester.cc")
|
|
|
|
# download dataset if necessary
|
|
download_int8_data(${INT8_DATA_DIR} "pascalvoc_val_head_300.tar.gz")
|
|
|
|
|
|
# build test binary to be used in subsequent tests
|
|
inference_analysis_api_test_build(${INT8_OBJ_DETECT_TEST_APP} ${INT8_OBJ_DETECT_TEST_APP_SRC})
|
|
|
|
# mobilenet-ssd int8
|
|
set(INT8_MOBILENET_SSD_MODEL_DIR "${INT8_DATA_DIR}/mobilenet-ssd")
|
|
download_int8_data(${INT8_MOBILENET_SSD_MODEL_DIR} "mobilenet_ssd_int8_model.tar.gz" )
|
|
inference_analysis_api_object_dection_int8_test_run(test_analyzer_int8_mobilenet_ssd ${INT8_OBJ_DETECT_TEST_APP} ${INT8_MOBILENET_SSD_MODEL_DIR} ${PASCALVOC_DATA_PATH})
|
|
|
|
### Lexcial analysis GRU model
|
|
set(GRU_PATH "${INFERENCE_DEMO_INSTALL_DIR}/gru")
|
|
download_GRU_data("${GRU_PATH}" "GRU_eval_data.tar.gz")
|
|
download_GRU_data("${GRU_PATH}" "GRU_eval_model_v2.tar.gz")
|
|
set(GRU_DATA_PATH "${GRU_PATH}/GRU_eval_data.bin")
|
|
set(GRU_MODEL_PATH "${GRU_PATH}/GRU_eval_model_v2")
|
|
set(LEXICAL_TEST_APP "test_analyzer_lexical_analysis")
|
|
set(LEXICAL_TEST_APP_SRC "analyzer_lexical_analysis_gru_tester.cc")
|
|
|
|
# build test binary to be used in subsequent tests
|
|
inference_analysis_api_test_build(${LEXICAL_TEST_APP} ${LEXICAL_TEST_APP_SRC})
|
|
# run lexcial analysis test
|
|
inference_analysis_api_lexical_test_run(test_analyzer_lexical_gru ${LEXICAL_TEST_APP} ${GRU_MODEL_PATH} ${GRU_DATA_PATH})
|
|
|
|
### optimized FP32 vs. Quant INT8 tests
|
|
|
|
set(QUANT_DATA_DIR "${INFERENCE_DEMO_INSTALL_DIR}/quant")
|
|
set(QUANT_IMG_CLASS_TEST_APP "test_analyzer_quant_image_classification")
|
|
set(QUANT_IMG_CLASS_TEST_APP_SRC "analyzer_quant_image_classification_tester.cc")
|
|
|
|
# build test binary to be used in subsequent tests
|
|
inference_analysis_api_test_build(${QUANT_IMG_CLASS_TEST_APP} ${QUANT_IMG_CLASS_TEST_APP_SRC})
|
|
|
|
# MobileNetV1 FP32 vs. Quant INT8
|
|
# The FP32 model should already be downloaded for slim Quant unit tests on Linux
|
|
set(QUANT2_MobileNetV1_MODEL_DIR "${QUANT_DATA_DIR}/MobileNetV1_quant2")
|
|
set(QUANT2_INT8_MobileNetV1_MODEL_DIR "${QUANT_DATA_DIR}/MobileNetV1_quant2_int8")
|
|
if(NOT LINUX)
|
|
download_quant_data(${QUANT2_MobileNetV1_MODEL_DIR} "MobileNet_qat_perf.tar.gz")
|
|
endif(NOT LINUX)
|
|
download_quant_data(${QUANT2_INT8_MobileNetV1_MODEL_DIR} "MobileNet_qat_perf_int8.tar.gz")
|
|
inference_analysis_api_quant_test_run(test_analyzer_quant_performance_benchmark ${QUANT_IMG_CLASS_TEST_APP} ${QUANT2_MobileNetV1_MODEL_DIR}/MobileNet_qat_perf/float ${QUANT2_INT8_MobileNetV1_MODEL_DIR}/MobileNet_qat_perf_int8 ${IMAGENET_DATA_PATH})
|
|
|
|
### Other tests
|
|
|
|
# MKLDNN quantizer config
|
|
set(MKLDNN_QUANTIZER_CONFIG_TEST_APP "test_mkldnn_quantizer_config")
|
|
set(MKLDNN_QUANTIZER_CONFIG_TEST_APP_SRC "mkldnn_quantizer_config_tester.cc")
|
|
inference_analysis_api_test_build(${MKLDNN_QUANTIZER_CONFIG_TEST_APP} ${MKLDNN_QUANTIZER_CONFIG_TEST_APP_SRC})
|
|
inference_analysis_test_run(test_mkldnn_quantizer_config COMMAND ${MKLDNN_QUANTIZER_CONFIG_TEST_APP})
|
|
|
|
# preprocess data2bin imagenet
|
|
download_int8_data(${INT8_DATA_DIR} "imagenet_small.tar.gz")
|
|
set(IMAGENET_SMALL_DATA_DIR "${INT8_DATA_DIR}/imagenet_small")
|
|
set(IMAGENET_SMALL_OUTPUT_FILE "imagenet_small.bin")
|
|
preprocess_data2bin_test_run(preprocess_local_imagenet "full_ILSVRC2012_val_preprocess.py" ${IMAGENET_SMALL_DATA_DIR} ${IMAGENET_SMALL_OUTPUT_FILE})
|
|
|
|
# preprocess data2bin pascalvoc
|
|
download_int8_data(${INT8_DATA_DIR} "pascalvoc_small.tar.gz")
|
|
set(PASCALVOC_SMALL_DATA_DIR "${INT8_DATA_DIR}/pascalvoc_small")
|
|
set(PASCALVOC_SMALL_OUTPUT_FILE "pascalvoc_small.bin")
|
|
preprocess_data2bin_test_run(preprocess_local_pascalvoc "full_pascalvoc_test_preprocess.py" ${PASCALVOC_SMALL_DATA_DIR} ${PASCALVOC_SMALL_OUTPUT_FILE})
|
|
|
|
endif()
|
|
|
|
# bert, max_len=20, embedding_dim=128
|
|
set(BERT_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/bert_emb128")
|
|
download_model_and_data(${BERT_INSTALL_DIR} "bert_emb128_model.tar.gz" "bert_data_len20.txt.tar.gz")
|
|
inference_analysis_api_test(test_analyzer_bert ${BERT_INSTALL_DIR} analyzer_bert_tester.cc)
|
|
|
|
if(WITH_GPU AND TENSORRT_FOUND)
|
|
set(TRT_MODEL_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/trt_models")
|
|
if (NOT EXISTS ${TRT_MODEL_INSTALL_DIR}/trt_inference_test_models.tar.gz)
|
|
inference_download_and_uncompress(${TRT_MODEL_INSTALL_DIR} ${INFERENCE_URL}/tensorrt_test "trt_inference_test_models.tar.gz")
|
|
endif()
|
|
set(TEST_SPLIT_CONVERTER_MODEL "${TRT_MODEL_INSTALL_DIR}/trt_split_op_converter_test")
|
|
if (NOT EXISTS ${TEST_SPLIT_CONVERTER_MODEL}/split_converter.tgz)
|
|
inference_download_and_uncompress(${TEST_SPLIT_CONVERTER_MODEL} ${INFERENCE_URL}/tensorrt_test "split_converter.tgz")
|
|
endif()
|
|
set(TEST_INSTANCE_NORM_MODEL "${TRT_MODEL_INSTALL_DIR}/trt_instance_norm_test")
|
|
if (NOT EXISTS ${TEST_INSTANCE_NORM_MODEL}/instance_norm.tgz)
|
|
inference_download_and_uncompress(${TEST_INSTANCE_NORM_MODEL} ${INFERENCE_URL}/tensorrt_test "instance_norm.tgz")
|
|
endif()
|
|
inference_analysis_test(trt_mobilenet_test SRCS trt_mobilenet_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TRT_MODEL_INSTALL_DIR}/trt_inference_test_models)
|
|
inference_analysis_test(trt_resnet50_test SRCS trt_resnet50_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TRT_MODEL_INSTALL_DIR}/trt_inference_test_models)
|
|
inference_analysis_test(trt_resnext_test SRCS trt_resnext_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TRT_MODEL_INSTALL_DIR}/trt_inference_test_models)
|
|
inference_analysis_test(trt_fc_prelu_test SRCS trt_fc_prelu_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TRT_MODEL_INSTALL_DIR}/trt_inference_test_models)
|
|
inference_analysis_test(trt_cascade_rcnn_test SRCS trt_cascade_rcnn_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TRT_MODEL_INSTALL_DIR}/trt_inference_test_models)
|
|
inference_analysis_test(trt_split_converter_test SRCS trt_split_converter_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TEST_SPLIT_CONVERTER_MODEL}/)
|
|
inference_analysis_test(trt_instance_norm_test SRCS trt_instance_norm_converter_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TEST_INSTANCE_NORM_MODEL}/)
|
|
inference_analysis_test(test_analyzer_capi_gpu SRCS analyzer_capi_gpu_tester.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} paddle_fluid_c
|
|
ARGS --infer_model=${TRT_MODEL_INSTALL_DIR}/trt_inference_test_models)
|
|
|
|
set(TRT_MODEL_QUANT_RESNET_DIR "${INFERENCE_DEMO_INSTALL_DIR}/small_quant_model")
|
|
if (NOT EXISTS ${TRT_MODEL_QUANT_RESNET_DIR}/small_quant_model.tgz)
|
|
inference_download_and_uncompress(${INFERENCE_DEMO_INSTALL_DIR} ${INFERENCE_URL}/tensorrt_test "small_quant_model.tgz")
|
|
endif()
|
|
inference_analysis_test(trt_quant_int8_test SRCS trt_quant_int8_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TRT_MODEL_QUANT_RESNET_DIR})
|
|
|
|
set(TRT_MODEL_QUANT_YOLOV3_DIR "${INFERENCE_DEMO_INSTALL_DIR}/yolov3_r50_quant_aware")
|
|
if (NOT EXISTS ${TRT_MODEL_QUANT_YOLOV3_DIR}/yolov3_r50_quant_aware.tgz)
|
|
inference_download_and_uncompress(${INFERENCE_DEMO_INSTALL_DIR} ${INFERENCE_URL}/tensorrt_test "yolov3_r50_quant_aware.tgz")
|
|
endif()
|
|
inference_analysis_test(trt_quant_int8_yolov3_r50_test SRCS trt_quant_int8_yolov3_r50_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TRT_MODEL_QUANT_YOLOV3_DIR})
|
|
|
|
set(TEST_TRT_DYNAMIC_MODEL2 "${TRT_MODEL_INSTALL_DIR}/complex_model_dynamic")
|
|
if (NOT EXISTS ${TEST_TRT_DYNAMIC_MODEL2}/complex_model_dynamic2.tar.gz)
|
|
inference_download_and_uncompress(${TEST_TRT_DYNAMIC_MODEL2} ${INFERENCE_URL}/tensorrt_test "complex_model_dynamic2.tar.gz")
|
|
endif()
|
|
|
|
set(TEST_TRT_DYNAMIC_MODEL "${TRT_MODEL_INSTALL_DIR}/conv_bn_swish_split_gelu")
|
|
if (NOT EXISTS ${TEST_TRT_DYNAMIC_MODEL}/conv_bn_swish_split_gelu.tar.gz)
|
|
inference_download_and_uncompress(${TEST_TRT_DYNAMIC_MODEL} ${INFERENCE_URL}/tensorrt_test "conv_bn_swish_split_gelu.tar.gz")
|
|
endif()
|
|
inference_analysis_test(trt_dynamic_shape_test SRCS trt_dynamic_shape_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TRT_MODEL_INSTALL_DIR})
|
|
|
|
set(TEST_TRT_ERNIE_MODEL "${TRT_MODEL_INSTALL_DIR}/ernie_test")
|
|
if (NOT EXISTS ${TEST_TRT_ERNIE_MODEL}/ernie_model_4.tar.gz)
|
|
inference_download_and_uncompress(${TEST_TRT_ERNIE_MODEL} ${INFERENCE_URL}/tensorrt_test "ernie_model_4.tar.gz")
|
|
endif()
|
|
|
|
inference_analysis_test(test_trt_dynamic_shape_ernie SRCS trt_dynamic_shape_ernie_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TEST_TRT_ERNIE_MODEL}/ernie_model_4)
|
|
|
|
set(TEST_TRT_ERNIE_UNSER_MODEL "${TRT_MODEL_INSTALL_DIR}/ernie_test/ernie_model_4_unserialized/")
|
|
if (NOT EXISTS ${TEST_TRT_ERNIE_UNSER_MODEL}/ernie_model_4_unserialized.tgz)
|
|
inference_download_and_uncompress(${TEST_TRT_ERNIE_MODEL} ${INFERENCE_URL}/tensorrt_test "ernie_model_4_unserialized.tgz")
|
|
endif()
|
|
|
|
inference_analysis_test(test_trt_dynamic_shape_ernie_ser_deser SRCS trt_dynamic_shape_ernie_deserialize_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${TEST_TRT_ERNIE_MODEL}/ernie_model_4_unserialized)
|
|
|
|
endif()
|
|
|
|
set(LITE_MODEL_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/lite")
|
|
download_data(${LITE_MODEL_INSTALL_DIR} "mul_model_fp32.tgz")
|
|
|
|
inference_analysis_test(lite_mul_model_test SRCS lite_mul_model_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${LITE_MODEL_INSTALL_DIR})
|
|
inference_analysis_test(lite_resnet50_test SRCS lite_resnet50_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${RESNET50_MODEL_DIR})
|
|
|
|
inference_analysis_test(test_analyzer_capi SRCS analyzer_capi_tester.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} paddle_fluid_c
|
|
ARGS --infer_model=${RESNET50_MODEL_DIR}/model)
|
|
|
|
inference_analysis_test(test_analyzer_capi_pd_tensor SRCS analyzer_capi_pd_tensor_tester.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} paddle_fluid_c
|
|
ARGS --infer_model=${MOBILENET_INSTALL_DIR}/model)
|
|
|
|
inference_analysis_test(test_analyzer_zerocopytensor_tensor SRCS analyzer_zerocopy_tensor_tester.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${OCR_INSTALL_DIR}/model)
|
|
|
|
inference_analysis_test(test_analyzer_paddletensor_tensor SRCS analyzer_paddle_tensor_tester.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${OCR_INSTALL_DIR}/model --infer_data=${OCR_INSTALL_DIR}/data.txt --refer_result=${OCR_INSTALL_DIR}/result.txt)
|
|
|
|
if(WITH_MKLDNN)
|
|
inference_analysis_test(test_analyzer_capi_int SRCS analyzer_capi_int_tester.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} paddle_fluid_c
|
|
ARGS --infer_model=${INT8_DATA_DIR}/resnet50/model)
|
|
endif()
|
|
|
|
inference_analysis_test(test_analyzer_capi_ner SRCS analyzer_capi_ner_tester.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} paddle_fluid_c
|
|
ARGS --infer_model=${CHINESE_NER_INSTALL_DIR}/model)
|
|
|
|
if(WITH_GPU)
|
|
inference_analysis_test(paddle_infer_api_test SRCS paddle_infer_api_test.cc
|
|
EXTRA_DEPS ${INFERENCE_EXTRA_DEPS}
|
|
ARGS --infer_model=${RESNET50_MODEL_DIR})
|
|
endif()
|