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64 lines
3.0 KiB
64 lines
3.0 KiB
file(GLOB TEST_OPS RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "test_*.py")
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string(REPLACE ".py" "" TEST_OPS "${TEST_OPS}")
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function(inference_analysis_python_api_int8_test target model_dir data_dir filename)
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py_test(${target} SRCS ${filename}
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ENVS FLAGS_OMP_NUM_THREADS=${CPU_NUM_THREADS_ON_CI}
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ARGS --infer_model ${model_dir}/model
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--infer_data ${data_dir}/data.bin
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--int8_model_save_path int8_models/${target}
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--warmup_batch_size 100
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--batch_size 50)
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endfunction()
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# NOTE: TODOOOOOOOOOOO
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# temporarily disable test_distillation_strategy since it always failed on a specified machine with 4 GPUs
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# Need to figure out the root cause and then add it back
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list(REMOVE_ITEM TEST_OPS test_distillation_strategy)
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# int8 image classification python api test
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if(LINUX AND WITH_MKLDNN)
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set(INT8_DATA_DIR "${INFERENCE_DEMO_INSTALL_DIR}/int8v2")
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set(MKLDNN_INT8_TEST_FILE "test_mkldnn_int8_quantization_strategy.py")
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# googlenet int8
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set(INT8_GOOGLENET_MODEL_DIR "${INT8_DATA_DIR}/googlenet")
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inference_analysis_python_api_int8_test(test_slim_int8_googlenet ${INT8_GOOGLENET_MODEL_DIR} ${INT8_DATA_DIR} ${MKLDNN_INT8_TEST_FILE})
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# mobilenet int8
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set(INT8_MOBILENET_MODEL_DIR "${INT8_DATA_DIR}/mobilenet")
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inference_analysis_python_api_int8_test(test_slim_int8_mobilenet ${INT8_MOBILENET_MODEL_DIR} ${INT8_DATA_DIR} ${MKLDNN_INT8_TEST_FILE})
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# temporarily adding WITH_SLIM_MKLDNN_FULL_TEST FLAG for QA testing the following UTs locally,
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# since the following UTs cost too much time on CI test.
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if (WITH_SLIM_MKLDNN_FULL_TEST)
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# resnet50 int8
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set(INT8_RESNET50_MODEL_DIR "${INT8_DATA_DIR}/resnet50")
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inference_analysis_python_api_int8_test(test_slim_int8_resnet50 ${INT8_RESNET50_MODEL_DIR} ${INT8_DATA_DIR} ${MKLDNN_INT8_TEST_FILE})
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# mobilenetv2 int8
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set(INT8_MOBILENETV2_MODEL_DIR "${INT8_DATA_DIR}/mobilenetv2")
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inference_analysis_python_api_int8_test(test_slim_int8_mobilenetv2 ${INT8_MOBILENETV2_MODEL_DIR} ${INT8_DATA_DIR} ${MKLDNN_INT8_TEST_FILE})
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# resnet101 int8
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set(INT8_RESNET101_MODEL_DIR "${INT8_DATA_DIR}/resnet101")
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inference_analysis_python_api_int8_test(test_slim_int8_resnet101 ${INT8_RESNET101_MODEL_DIR} ${INT8_DATA_DIR} ${MKLDNN_INT8_TEST_FILE})
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# vgg16 int8
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set(INT8_VGG16_MODEL_DIR "${INT8_DATA_DIR}/vgg16")
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inference_analysis_python_api_int8_test(test_slim_int8_vgg16 ${INT8_VGG16_MODEL_DIR} ${INT8_DATA_DIR} ${MKLDNN_INT8_TEST_FILE})
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# vgg19 int8
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set(INT8_VGG19_MODEL_DIR "${INT8_DATA_DIR}/vgg19")
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inference_analysis_python_api_int8_test(test_slim_int8_vgg19 ${INT8_VGG19_MODEL_DIR} ${INT8_DATA_DIR} ${MKLDNN_INT8_TEST_FILE})
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endif()
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endif()
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# Since test_mkldnn_int8_quantization_strategy only supports testing on Linux
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# with MKL-DNN, we remove it here for not repeating test, or not testing on other systems.
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list(REMOVE_ITEM TEST_OPS test_mkldnn_int8_quantization_strategy)
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foreach(src ${TEST_OPS})
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py_test(${src} SRCS ${src}.py)
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endforeach()
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