Created
July 13, 2020 20:58
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SM_HOSTS=["algo-1"] | |
SM_NETWORK_INTERFACE_NAME=eth0 | |
SM_HPS={"batch-size":128,"epochs":6} | |
SM_USER_ENTRY_POINT=train.py | |
SM_FRAMEWORK_PARAMS={} | |
SM_RESOURCE_CONFIG={"current_host":"algo-1","hosts":["algo-1"],"network_interface_name":"eth0"} | |
SM_INPUT_DATA_CONFIG={"test":{"RecordWrapperType":"None","S3DistributionType":"FullyReplicated","TrainingInputMode":"File"},"train":{"RecordWrapperType":"None","S3DistributionType":"FullyReplicated","TrainingInputMode":"File"}} | |
SM_OUTPUT_DATA_DIR=/opt/ml/output/data | |
SM_CHANNELS=["test","train"] | |
SM_CURRENT_HOST=algo-1 | |
SM_MODULE_NAME=train | |
SM_LOG_LEVEL=20 | |
SM_FRAMEWORK_MODULE=sagemaker_pytorch_container.training:main | |
SM_INPUT_DIR=/opt/ml/input | |
SM_INPUT_CONFIG_DIR=/opt/ml/input/config | |
SM_OUTPUT_DIR=/opt/ml/output | |
SM_NUM_CPUS=4 | |
SM_NUM_GPUS=1 | |
SM_MODEL_DIR=/opt/ml/model | |
SM_MODULE_DIR=s3://sagemaker-eu-west-1-XXXXXXXX/pytorch-training-2020-07-13-20-42-24-519/source/sourcedir.tar.gz | |
SM_TRAINING_ENV={"additional_framework_parameters":{},"channel_input_dirs":{"test":"/opt/ml/input/data/test","train":"/opt/ml/input/data/train"},"current_host":"algo-1","framework_module":"sagemaker_pytorch_container.training:main","hosts":["algo-1"],"hyperparameters":{"batch-size":128,"epochs":6},"input_config_dir":"/opt/ml/input/config","input_data_config":{"test":{"RecordWrapperType":"None","S3DistributionType":"FullyReplicated","TrainingInputMode":"File"},"train":{"RecordWrapperType":"None","S3DistributionType":"FullyReplicated","TrainingInputMode":"File"}},"input_dir":"/opt/ml/input","is_master":true,"job_name":"pytorch-training-2020-07-13-20-42-24-519","log_level":20,"master_hostname":"algo-1","model_dir":"/opt/ml/model","module_dir":"s3://sagemaker-eu-west-1-XXXXXXXX/pytorch-training-2020-07-13-20-42-24-519/source/sourcedir.tar.gz","module_name":"train","network_interface_name":"eth0","num_cpus":4,"num_gpus":1,"output_data_dir":"/opt/ml/output/data","output_dir":"/opt/ml/output","output_intermediate_dir":"/opt/ml/output/intermediate","resource_config":{"current_host":"algo-1","hosts":["algo-1"],"network_interface_name":"eth0"},"user_entry_point":"train.py"} | |
SM_USER_ARGS=["--batch-size","128","--epochs","6"] | |
SM_OUTPUT_INTERMEDIATE_DIR=/opt/ml/output/intermediate | |
SM_CHANNEL_TEST=/opt/ml/input/data/test | |
SM_CHANNEL_TRAIN=/opt/ml/input/data/train | |
SM_HP_BATCH-SIZE=128 | |
SM_HP_EPOCHS=6 | |
PYTHONPATH=/opt/ml/code:/opt/conda/bin:/opt/conda/lib/python36.zip:/opt/conda/lib/python3.6:/opt/conda/lib/python3.6/lib-dynload:/opt/conda/lib/python3.6/site-packages | |
Invoking script with the following command: | |
/opt/conda/bin/python train.py --batch-size 128 --epochs 6 |
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