parameters: (subparsers)
docstring: Add parser for `run`.
docstring_summary: Add parser for `run`.
docstring_tokens: Add parser for run .
function: def add_run_subparser(subparsers):
    """Add parser for `run`."""
    run_msg = ('Usage example:\n'
               'To run input tensors from files through a MetaGraphDef and save'
               ' the output tensors to files:\n'
               '$saved_model_cli show --dir /tmp/saved_model --tag_set serve \\\n'
               '   --signature_def serving_default \\\n'
               '   --inputs input1_key=/tmp/124.npz[x],input2_key=/tmp/123.npy '
               '\\\n'
               '   --input_exprs \'input3_key=np.ones(2)\' \\\n'
               '   --input_examples '
               '\'input4_key=[{"id":[26],"weights":[0.5, 0.5]}]\' \\\n'
               '   --outdir=/out\n\n'
               'For more information about input file format, please see:\n'
               'https://www.tensorflow.org/guide/saved_model_cli\n')
    parser_run = subparsers.add_parser(
        'run', description=run_msg, formatter_class=argparse.RawTextHelpFormatter)
    parser_run.add_argument(
        '--dir',
        type=str,
        required=True,
        help='directory containing the SavedModel to execute')
    parser_run.add_argument(
        '--tag_set',
        type=str,
        required=True,
        help='tag-set of graph in SavedModel to load, separated by \',\'')
    parser_run.add_argument(
        '--signature_def',
        type=str,
        required=True,
        metavar='SIGNATURE_DEF_KEY',
        help='key of SignatureDef to run')
    msg = ('Loading inputs from files, in the format of \'<input_key>=<filename>,'
           ' or \'<input_key>=<filename>[<variable_name>]\', separated by \';\'.'
           ' The file format can only be from .npy, .npz or pickle.')
    parser_run.add_argument('--inputs', type=str, default='', help=msg)
    msg = ('Specifying inputs by python expressions, in the format of'
           ' "<input_key>=\'<python expression>\'", separated by \';\'. '
           'numpy module is available as \'np\'. Please note that the expression '
           'will be evaluated as-is, and is susceptible to code injection. '
           'When this is set, the value will override duplicate input keys from '
           '--inputs option.')
    parser_run.add_argument('--input_exprs', type=str, default='', help=msg)
    msg = (
        'Specifying tf.Example inputs as list of dictionaries. For example: '
        '<input_key>=[{feature0:value_list,feature1:value_list}]. Use ";" to '
        'separate input keys. Will override duplicate input keys from --inputs '
        'and --input_exprs option.')
    parser_run.add_argument('--input_examples', type=str, default='', help=msg)
    parser_run.add_argument(
        '--outdir',
        type=str,
        default=None,
        help='if specified, output tensor(s) will be saved to given directory')
    parser_run.add_argument(
        '--overwrite',
        action='store_true',
        help='if set, output file will be overwritten if it already exists.')
    parser_run.add_argument(
        '--tf_debug',
        action='store_true',
        help='if set, will use TensorFlow Debugger (tfdbg) to watch the '
             'intermediate Tensors and runtime GraphDefs while running the '
             'SavedModel.')
    parser_run.add_argument(
        '--worker',
        type=str,
        default=None,
        help='if specified, a Session will be run on the worker. '
             'Valid worker specification is a bns or gRPC path.')
    parser_run.add_argument(
        '--init_tpu',
        action='store_true',
        default=None,
        help='if specified, tpu.initialize_system will be called on the Session. '
             'This option should be only used if the worker is a TPU job.')
    parser_run.set_defaults(func=run)
function_tokens: def add_run_subparser ( subparsers ) : run_msg = ( 'Usage example:\n' 'To run input tensors from files through a MetaGraphDef and save' ' the output tensors to files:\n' '$saved_model_cli show --dir /tmp/saved_model --tag_set serve \\\n' '   --signature_def serving_default \\\n' '   --inputs input1_key=/tmp/124.npz[x],input2_key=/tmp/123.npy ' '\\\n' '   --input_exprs \'input3_key=np.ones(2)\' \\\n' '   --input_examples ' '\'input4_key=[{"id":[26],"weights":[0.5, 0.5]}]\' \\\n' '   --outdir=/out\n\n' 'For more information about input file format, please see:\n' 'https://www.tensorflow.org/guide/saved_model_cli\n' ) parser_run = subparsers . add_parser ( 'run' , description = run_msg , formatter_class = argparse . RawTextHelpFormatter ) parser_run . add_argument ( '--dir' , type = str , required = True , help = 'directory containing the SavedModel to execute' ) parser_run . add_argument ( '--tag_set' , type = str , required = True , help = 'tag-set of graph in SavedModel to load, separated by \',\'' ) parser_run . add_argument ( '--signature_def' , type = str , required = True , metavar = 'SIGNATURE_DEF_KEY' , help = 'key of SignatureDef to run' ) msg = ( 'Loading inputs from files, in the format of \'<input_key>=<filename>,' ' or \'<input_key>=<filename>[<variable_name>]\', separated by \';\'.' ' The file format can only be from .npy, .npz or pickle.' ) parser_run . add_argument ( '--inputs' , type = str , default = '' , help = msg ) msg = ( 'Specifying inputs by python expressions, in the format of' ' "<input_key>=\'<python expression>\'", separated by \';\'. ' 'numpy module is available as \'np\'. Please note that the expression ' 'will be evaluated as-is, and is susceptible to code injection. ' 'When this is set, the value will override duplicate input keys from ' '--inputs option.' ) parser_run . add_argument ( '--input_exprs' , type = str , default = '' , help = msg ) msg = ( 'Specifying tf.Example inputs as list of dictionaries. For example: ' '<input_key>=[{feature0:value_list,feature1:value_list}]. Use ";" to ' 'separate input keys. Will override duplicate input keys from --inputs ' 'and --input_exprs option.' ) parser_run . add_argument ( '--input_examples' , type = str , default = '' , help = msg ) parser_run . add_argument ( '--outdir' , type = str , default = None , help = 'if specified, output tensor(s) will be saved to given directory' ) parser_run . add_argument ( '--overwrite' , action = 'store_true' , help = 'if set, output file will be overwritten if it already exists.' ) parser_run . add_argument ( '--tf_debug' , action = 'store_true' , help = 'if set, will use TensorFlow Debugger (tfdbg) to watch the ' 'intermediate Tensors and runtime GraphDefs while running the ' 'SavedModel.' ) parser_run . add_argument ( '--worker' , type = str , default = None , help = 'if specified, a Session will be run on the worker. ' 'Valid worker specification is a bns or gRPC path.' ) parser_run . add_argument ( '--init_tpu' , action = 'store_true' , default = None , help = 'if specified, tpu.initialize_system will be called on the Session. ' 'This option should be only used if the worker is a TPU job.' ) parser_run . set_defaults ( func = run )