{ "accu_init": { "ck_env": [ "--env.CK_LOADGEN_DATASET_SIZE=<<>>", "--env.CK_VERBOSE=<<>>" ], "record_tags": [ "mlperf", "division.<<>>", "task.<<>>", "inference_engine.<<>>", "inference_engine_version.<<>>", "platform.<<>>", "scenario.<<>>", "mode.<<>>", "workload.<<>>" ], "record_uoa_parts": [ "mlperf", "<<>>", "<<>>", "<<>>", "<<>>", "<<>>", "<<>>" ] }, "build_map": { "mode": { "accuracy": { "ck_env": "--cmd_key=accuracy", "output_file": "accuracy.txt", "recommended_dataset_size": "<<>>", "recommended_verbosity": "1" }, "performance": { "ck_env": "--cmd_key=performance", "output_file": "mlperf_log_summary.txt", "recommended_dataset_size": "<<>>", "recommended_verbosity": "0" } }, "model": { "rnnt": { "full_dataset_size": "2513", "performance_dataset_size": "2513", "program_name": "speech-recognition-pytorch-loadgen", "task": "speech-recognition" } }, "no_record": { "yes": { "shell_wrapped_cmd": "<<>>" } }, "scenario": { "multistream": { "ck_env": "--env.CK_LOADGEN_SCENARIO=MultiStream" }, "offline": { "ck_env": "--env.CK_LOADGEN_SCENARIO=Offline" }, "singlestream": { "ck_env": "--env.CK_LOADGEN_SCENARIO=SingleStream" }, "server": { "ck_env": "--env.CK_LOADGEN_SCENARIO=Server" } }, "sut": { "aws-g4dn.4xlarge": { "compiler_tags": "gcc,v7" }, "dellemc_r640xd6248r": { "compiler_tags": "gcc,v7" }, "dellemc_r740xd6248": { "compiler_tags": "gcc,v7" } }, "batch_size": { "###": { "ck_env": "--env.CK_BATCH_SIZE=###", "record_tags": "batch_size.###" } }, "buffer_size": { "###": { "ck_env": "--env.CK_LOADGEN_BUFFER_SIZE=###", "record_tags": "buffer_size.###", "record_uoa_parts": "buffer_size.###" } }, "performance_sample_count_override": { "###": { "ck_env": "--env.CK_LOADGEN_BUFFER_SIZE=###", "record_tags": "buffer_size.###", "record_uoa_parts": "buffer_size.###" } }, "max_query_count": { "###": { "ck_env": "--env.CK_LOADGEN_MAX_QUERY_COUNT=###", "record_tags": "max_query_count.###", "record_uoa_parts": "max_query_count.###" } }, "target_latency": { "###": { "ck_env": "--env.CK_LOADGEN_TARGET_LATENCY=###", "record_tags": "target_latency.###" } }, "target_qps": { "###": { "ck_env": "--env.CK_LOADGEN_TARGET_QPS=###", "record_tags": "target_qps.###", "record_uoa_parts": "target_qps.###" } }, "no_record": { "yes": { "shell_wrapped_cmd": "<<>>" } }, "verbosity": { "###": { "ck_env": "--env.CK_VERBOSE=###" } }, "verbose": { "all": { "print_output_file": "<<>>", "screen_output": "" }, "yes": { "print_output_file": "<<>>" } }, "plugin_pre": { "pytorch": { "ck_env": ["--env.CK_RNNT_PRE_BACKEND=pytorch", "--env.CK_RNNT_PRE=orig"] }, "pytorch_quant": { "ck_env": ["--env.CK_RNNT_PRE_BACKEND=pytorch", "--env.CK_RNNT_PRE=orig-quant"] }, "onnx": { "ck_env": ["--env.CK_RNNT_PRE_BACKEND=onnx", "--env.CK_RNNT_PRE=orig"] } }, "plugin_post": { "pytorch": { "ck_env": ["--env.CK_RNNT_POST_BACKEND=pytorch", "--env.CK_RNNT_POST=orig"] }, "pytorch_quant": { "ck_env": ["--env.CK_RNNT_POST_BACKEND=pytorch", "--env.CK_RNNT_POST=orig-quant"] }, "onnx": { "ck_env": ["--env.CK_RNNT_POST_BACKEND=onnx", "--env.CK_RNNT_POST=orig"] } }, "plugin_dec": { "pytorch": { "ck_env": ["--env.CK_RNNT_DEC_BACKEND=pytorch", "--env.CK_RNNT_DEC=orig"] }, "pytorch_quant": { "ck_env": ["--env.CK_RNNT_DEC_BACKEND=pytorch", "--env.CK_RNNT_DEC=orig-quant"] }, "onnx": { "ck_env": ["--env.CK_RNNT_DEC_BACKEND=onnx", "--env.CK_RNNT_DEC=orig"] } } }, "cmd_template": "<<>>", "defaults": { "ck_benchmark_program": "ck benchmark <<>> --skip_stat_analysis --process_multi_keys --repetitions=<<>> --record --record_repo=local --record_uoa=<<>> --tags=<<>>", "ck_run_program": "ck run <<>>", "dataset_size": "<<>>", "division": "closed", "inference_engine": "pytorch", "inference_engine_version": "v1.15.1", "print_output_file_cmd": "&& cat `ck find program:<<>>`/tmp/<<>>", "record_uoa": "<<>>", "repetitions": "1", "run_or_benchmark_common": "program:<<>> <<>> <<>> <<>>", "screen_output": "--env.CK_SILENT_MODE=YES --skip_print_timers", "shell_wrapped_cmd": "<<>>", "verbosity": "<<>>", "wrapped_ck_benchmark_program": "if [ -n \"`ck list local:experiment:<<>>`\" ]; then echo 'Experiment <<>> exists, skipping' ; else <<>> \"@@@{'meta': {'ck_benchmark_program': '<<>>'}}\" <<>> ; fi", "wrapped_ck_run_program": "<<>> <<>>" } }