134 lines
10 KiB
Python
134 lines
10 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import sys,argparse
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from fnmatch import fnmatch
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from openvino.tools.benchmark.utils.utils import show_available_devices
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def str2bool(v):
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if v.lower() in ('yes', 'true', 't', 'y', '1'):
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return True
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elif v.lower() in ('no', 'false', 'f', 'n', '0'):
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return False
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else:
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raise argparse.ArgumentTypeError('Boolean value expected.')
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def check_positive(value):
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ivalue = int(value)
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if ivalue <= 0:
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raise argparse.ArgumentTypeError(f"{value} is an invalid positive int value")
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return ivalue
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class print_help(argparse.Action):
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def __call__(self, parser, namespace, values, option_string=None):
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parser.print_help()
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show_available_devices()
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sys.exit()
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def parse_args():
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parser = argparse.ArgumentParser(add_help=False)
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args = parser.add_argument_group('Options')
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args.add_argument('-h', '--help', action=print_help, nargs='?', default=argparse.SUPPRESS,
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help='Show this help message and exit.')
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args.add_argument('-i', '--paths_to_input', action='append', nargs='+', type=str, required=False,
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help='Optional. '
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'Path to a folder with images and/or binaries or to specific image or binary file.')
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args.add_argument('-m', '--path_to_model', type=str, required=True,
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help='Required. Path to an .xml/.onnx/.prototxt file with a trained model or '
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'to a .blob file with a trained compiled model.')
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args.add_argument('-d', '--target_device', type=str, required=False, default='CPU',
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help='Optional. Specify a target device to infer on (the list of available devices is shown below). '
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'Default value is CPU. Use \'-d HETERO:<comma separated devices list>\' format to specify HETERO plugin. '
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'Use \'-d MULTI:<comma separated devices list>\' format to specify MULTI plugin. '
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'The application looks for a suitable plugin for the specified device.')
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args.add_argument('-l', '--path_to_extension', type=str, required=False, default=None,
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help='Optional. Required for CPU custom layers. '
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'Absolute path to a shared library with the kernels implementations.')
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args.add_argument('-c', '--path_to_cldnn_config', type=str, required=False,
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help='Optional. Required for GPU custom kernels. Absolute path to an .xml file with the '
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'kernels description.')
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args.add_argument('-api', '--api_type', type=str, required=False, default='async', choices=['sync', 'async'],
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help='Optional. Enable using sync/async API. Default value is async.')
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args.add_argument('-niter', '--number_iterations', type=check_positive, required=False, default=None,
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help='Optional. Number of iterations. '
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'If not specified, the number of iterations is calculated depending on a device.')
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args.add_argument('-nireq', '--number_infer_requests', type=check_positive, required=False, default=None,
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help='Optional. Number of infer requests. Default value is determined automatically for device.')
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args.add_argument('-b', '--batch_size', type=int, required=False, default=0,
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help='Optional. ' +
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'Batch size value. ' +
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'If not specified, the batch size value is determined from Intermediate Representation')
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args.add_argument('-stream_output', type=str2bool, required=False, default=False, nargs='?', const=True,
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help='Optional. '
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'Print progress as a plain text. '
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'When specified, an interactive progress bar is replaced with a multi-line output.')
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args.add_argument('-t', '--time', type=int, required=False, default=None,
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help='Optional. Time in seconds to execute topology.')
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args.add_argument('-progress', type=str2bool, required=False, default=False, nargs='?', const=True,
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help='Optional. '
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'Show progress bar (can affect performance measurement). Default values is \'False\'.')
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args.add_argument('-shape', type=str, required=False, default='',
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help='Optional. '
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'Set shape for input. For example, "input1[1,3,224,224],input2[1,4]" or "[1,3,224,224]" in case of one input size.')
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args.add_argument('-layout', type=str, required=False, default='',
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help='Optional. '
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'Prompts how network layouts should be treated by application. '
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'For example, "input1[NCHW],input2[NC]" or "[NCHW]" in case of one input size.')
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args.add_argument('-nstreams', '--number_streams', type=str, required=False, default=None,
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help='Optional. Number of streams to use for inference on the CPU/GPU/MYRIAD '
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'(for HETERO and MULTI device cases use format <device1>:<nstreams1>,<device2>:<nstreams2> '
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'or just <nstreams>). '
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'Default value is determined automatically for a device. Please note that although the automatic selection '
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'usually provides a reasonable performance, it still may be non - optimal for some cases, especially for very small networks. '
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'Also, using nstreams>1 is inherently throughput-oriented option, while for the best-latency '
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'estimations the number of streams should be set to 1. '
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'See samples README for more details.')
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args.add_argument('-enforcebf16', '--enforce_bfloat16', type=str2bool, required=False, default=False, nargs='?', const=True, choices=[True, False],
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help='Optional. By default floating point operations execution in bfloat16 precision are enforced if supported by platform. '
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'\'true\' - enable bfloat16 regardless of platform support. '
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'\'false\' - disable bfloat16 regardless of platform support.')
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args.add_argument('-nthreads', '--number_threads', type=int, required=False, default=None,
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help='Number of threads to use for inference on the CPU, GNA '
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'(including HETERO and MULTI cases).')
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args.add_argument('-pin', '--infer_threads_pinning', type=str, required=False, choices=['YES', 'NO', 'NUMA', 'HYBRID_AWARE'],
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help='Optional. Enable threads->cores (\'YES\' which is OpenVINO runtime\'s default for conventional CPUs), '
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'threads->(NUMA)nodes (\'NUMA\'), '
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'threads->appropriate core types (\'HYBRID_AWARE\', which is OpenVINO runtime\'s default for Hybrid CPUs)'
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'or completely disable (\'NO\')'
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'CPU threads pinning for CPU-involved inference.')
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args.add_argument('-exec_graph_path', '--exec_graph_path', type=str, required=False,
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help='Optional. Path to a file where to store executable graph information serialized.')
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args.add_argument('-pc', '--perf_counts', type=str2bool, required=False, default=False, nargs='?', const=True,
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help='Optional. Report performance counters.', )
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args.add_argument('-report_type', '--report_type', type=str, required=False,
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choices=['no_counters', 'average_counters', 'detailed_counters'],
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help="Optional. Enable collecting statistics report. \"no_counters\" report contains "
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"configuration options specified, resulting FPS and latency. \"average_counters\" "
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"report extends \"no_counters\" report and additionally includes average PM "
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"counters values for each layer from the network. \"detailed_counters\" report "
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"extends \"average_counters\" report and additionally includes per-layer PM "
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"counters and latency for each executed infer request.")
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args.add_argument('-report_folder', '--report_folder', type=str, required=False, default='',
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help="Optional. Path to a folder where statistics report is stored.")
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args.add_argument('-dump_config', type=str, required=False, default='',
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help="Optional. Path to JSON file to dump IE parameters, which were set by application.")
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args.add_argument('-load_config', type=str, required=False, default='',
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help="Optional. Path to JSON file to load custom IE parameters."
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" Please note, command line parameters have higher priority then parameters from configuration file.")
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args.add_argument('-qb', '--quantization_bits', type=int, required=False, default=None, choices=[8, 16],
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help="Optional. Weight bits for quantization: 8 (I8) or 16 (I16) ")
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args.add_argument('-ip', '--input_precision', type=str, required=False, choices=['U8', 'FP16', 'FP32'],
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help='Optional. Specifies precision for all input layers of the network.')
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args.add_argument('-op', '--output_precision', type=str, required=False, choices=['U8', 'FP16', 'FP32'],
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help='Optional. Specifies precision for all output layers of the network.')
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args.add_argument('-iop', '--input_output_precision', type=str, required=False,
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help='Optional. Specifies precision for input and output layers by name. Example: -iop "input:FP16, output:FP16". Notice that quotes are required. Overwrites precision from ip and op options for specified layers.')
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args.add_argument('-cdir', '--cache_dir', type=str, required=False, default='',
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help="Optional. Enable model caching to specified directory")
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args.add_argument('-lfile', '--load_from_file', required=False, nargs='?', default=argparse.SUPPRESS,
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help="Optional. Loads model from file directly without read_network.")
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parsed_args = parser.parse_args()
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return parsed_args
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