c4eeecfec5
* Removed Intel MYRIAD plugin * Removed Intel MYIAD from CI files * Removed Intel MYRIAD from cmake folder * Removed MYRIAD, HDDL from samples * Removed MYRIAD, HDDL from scripts folder * Removed MYRIAD from bindings folder (C and Python API) * Removed MYRIAD tests * Removed MYRIAD from tests folder * Removed MYRIAD from tools folder * Removed HDDL (VAD), MYRIAD (NSC2) from documentation * Fixed build for AUTO unit tests * Fixed clang code style * Fixed comments and issues * removed MYRIAD from AUTO tests * Disabled MULTI tests in CI * Update docs/OV_Runtime_UG/auto_device_selection.md Co-authored-by: Yuan Xu <yuan1.xu@intel.com> * Update docs/get_started/get_started_demos.md Co-authored-by: Yuan Xu <yuan1.xu@intel.com> * Update docs/OV_Runtime_UG/deployment/local-distribution.md Co-authored-by: Yuan Xu <yuan1.xu@intel.com> Co-authored-by: Yuan Xu <yuan1.xu@intel.com>
134 lines
7.5 KiB
Python
134 lines
7.5 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import argparse
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import re
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from typing import List, Tuple, Union
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def build_arg_parser() -> argparse.ArgumentParser:
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"""Create and return argument parser."""
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parser = argparse.ArgumentParser(add_help=False)
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args = parser.add_argument_group('Options')
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model = parser.add_mutually_exclusive_group(required=True)
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model.add_argument('-m', '--model', type=str,
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help='Path to an .xml file with a trained model (required if -rg is missing).')
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model.add_argument('-rg', '--import_gna_model', type=str,
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help='Read GNA model from file using path/filename provided (required if -m is missing).')
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args.add_argument('-h', '--help', action='help', help='Show this help message and exit.')
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args.add_argument('-i', '--input', required=True, type=str, help='Required. Path to an input file (.ark or .npz).')
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args.add_argument('-o', '--output', type=str,
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help='Optional. Output file name to save inference results (.ark or .npz).')
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args.add_argument('-r', '--reference', type=str,
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help='Optional. Read reference score file and compare scores.')
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args.add_argument('-d', '--device', default='CPU', type=str,
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help='Optional. Specify a target device to infer on. '
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'CPU, GPU, VPUX, GNA_AUTO, GNA_HW, GNA_SW_FP32, GNA_SW_EXACT and HETERO with combination of GNA'
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' as the primary device and CPU as a secondary (e.g. HETERO:GNA,CPU) are supported. '
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'The sample will look for a suitable plugin for device specified. Default value is CPU.')
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args.add_argument('-bs', '--batch_size', type=int, choices=range(1, 9), metavar='[1-8]',
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help='Optional. Batch size 1-8.')
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args.add_argument('-layout', type=str,
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help='Optional. Custom layout in format: "input0[value0],input1[value1]" or "[value]" (applied to all inputs)')
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args.add_argument('-qb', '--quantization_bits', default=16, type=int, choices=(8, 16), metavar='[8, 16]',
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help='Optional. Weight bits for quantization: 8 or 16 (default 16).')
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args.add_argument('-sf', '--scale_factor', type=str,
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help='Optional. The user-specified input scale factor for quantization.')
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args.add_argument('-wg', '--export_gna_model', type=str,
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help='Optional. Write GNA model to file using path/filename provided.')
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args.add_argument('-we', '--export_embedded_gna_model', type=str,
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help='Optional. Write GNA embedded model to file using path/filename provided.')
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args.add_argument('-we_gen', '--embedded_gna_configuration', default='GNA1', type=str, metavar='[GNA1, GNA3]',
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help='Optional. GNA generation configuration string for embedded export. '
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'Can be GNA1 (default) or GNA3.')
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args.add_argument('--exec_target', default='', type=str, choices=('GNA_TARGET_2_0', 'GNA_TARGET_3_0'),
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metavar='[GNA_TARGET_2_0, GNA_TARGET_3_0]',
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help='Optional. Specify GNA execution target generation. '
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'By default, generation corresponds to the GNA HW available in the system '
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'or the latest fully supported generation by the software. '
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"See the GNA Plugin's GNA_EXEC_TARGET config option description.")
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args.add_argument('-pc', '--performance_counter', action='store_true',
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help='Optional. Enables performance report (specify -a to ensure arch accurate results).')
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args.add_argument('-a', '--arch', default='CORE', type=str.upper, choices=('CORE', 'ATOM'), metavar='[CORE, ATOM]',
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help='Optional. Specify architecture. CORE, ATOM with the combination of -pc.')
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args.add_argument('-cw_l', '--context_window_left', type=int, default=0,
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help='Optional. Number of frames for left context windows (default is 0). '
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'Works only with context window models. '
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'If you use the cw_l or cw_r flag, then batch size argument is ignored.')
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args.add_argument('-cw_r', '--context_window_right', type=int, default=0,
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help='Optional. Number of frames for right context windows (default is 0). '
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'Works only with context window models. '
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'If you use the cw_l or cw_r flag, then batch size argument is ignored.')
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args.add_argument('-pwl_me', type=float, default=1.0,
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help='Optional. The maximum percent of error for PWL function. '
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'The value must be in <0, 100> range. The default value is 1.0.')
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return parser
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def parse_arg_with_names(arg_string: Union[str, None], separator: str = '=') -> Tuple[List[str], List[str]]:
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keys = []
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values = []
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if isinstance(arg_string, str):
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for parameter in re.split(', |,', arg_string):
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if separator in parameter:
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key, value = parameter.split(separator)
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keys.append(key)
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values.append(value)
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else:
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values.append(parameter)
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return keys, values
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def check_arg_with_names(arg: Tuple[List[str], List[str]]) -> bool:
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return True if len(arg[0]) == 0 and len(arg[1]) > 1 else False
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def parse_args(separator: str = '=') -> argparse.Namespace:
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"""Parse and validate command-line arguments."""
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parser = build_arg_parser()
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args = parser.parse_args()
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if args.context_window_left < 0:
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parser.error('Invalid value for argument -cw_l/--context_window_left: Must be an integer >= 0.')
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if args.context_window_right < 0:
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parser.error('Invalid value for argument -cw_r/--context_window_right: Must be an integer >= 0.')
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if args.pwl_me < 0.0 or args.pwl_me > 100.0:
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parser.error('Invalid value for -pwl_me argument. It must be greater than 0.0 and less than 100.0')
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args.input = parse_arg_with_names(args.input, separator)
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if check_arg_with_names(args.input):
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parser.error(
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'Invalid format for -i/--input argment. Please specify the parameter like this '
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f'<input_name1>{separator}<file1.ark/.npz>,<input_name2>{separator}<file2.ark/.npz> or just <file.ark/.npz> in case of one input.',
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)
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args.scale_factor = parse_arg_with_names(args.scale_factor, separator)
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if check_arg_with_names(args.scale_factor):
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parser.error(
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'Invalid format for -sf/--scale_factor argment. Please specify the parameter like this '
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f'<input_name1>{separator}<sf1>,<input_name2>{separator}<sf2> or just <sf> to be applied to all inputs.',
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)
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args.output = parse_arg_with_names(args.output, separator)
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if check_arg_with_names(args.output):
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parser.error(
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'Invalid format for -o/--output argment. Please specify the parameter like this '
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f'<output_name1>{separator}<output1.ark/.npz>,<output_name2>{separator}<output2.ark/.npz> or just <output.ark/.npz> in case of one output.',
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)
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args.reference = parse_arg_with_names(args.reference, separator)
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if check_arg_with_names(args.reference):
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parser.error(
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'Invalid format for -r/--reference argment. Please specify the parameter like this '
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f'<output_name1>{separator}<reference1.ark/.npz>,<output_name2>{separator}<reference2.ark/.npz> or <reference.ark/.npz> in case of one output.',
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)
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return args
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