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fixed some typos in MO help (#979)

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This commit is contained in:
Pavel Esir
2020-06-18 11:02:28 +03:00
committed by GitHub
parent cf60baf2f0
commit c596707a09
1 changed files with 12 additions and 13 deletions
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25
model-optimizer/mo/utils/cli_parser.py
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@@ -208,7 +208,7 @@ def get_common_cli_parser(parser: argparse.ArgumentParser = None):
'operation of the graph. If there are multiple inputs in the model, --input_shape '
'should contain definition of shape for each input separated by a comma, for '
'example: [1,3,227,227],[2,4] for a model with two inputs with 4D and 2D shapes. '
'Alternatively, you can specify shapes with the --input option.')
'Alternatively, specify shapes with the --input option.')
common_group.add_argument('--scale', '-s',
type=float,
help='All input values coming from original network inputs will be ' +
@@ -230,15 +230,14 @@ def get_common_cli_parser(parser: argparse.ArgumentParser = None):
'DEBUG', 'NOTSET'],
default='ERROR')
common_group.add_argument('--input',
help='Quoted list of comma-separated input nodes names with shapes, data types, ' +
'and values for freezing. The shape and value are specified as space-separated lists. '+
'The data type of input node is specified in braces and can have one of the values: ' +
help='Quoted list of comma-separated input nodes names with shapes, data types, '
'and values for freezing. The shape and value are specified as space-separated lists. '
'The data type of input node is specified in braces and can have one of the values: '
'f64 (float64), f32 (float32), f16 (float16), i64 (int64), i32 (int32), u8 (uint8), boolean. '
'For example, use the following format to set input port 0 ' +
'of the node `node_name1` with the shape [3 4] as an input node and ' +
'freeze output port 1 of the node `node_name2` with the value [20 15] of int32 type' +
'and the shape [2]: ' +
'"0:node_name1[3 4],node_name2:1[2]{i32}->[20 15]".')
'For example, use the following format to set input port 0 '
'of the node `node_name1` with the shape [3 4] as an input node and '
'freeze output port 1 of the node `node_name2` with the value [20 15] of the int32 type '
'and shape [2]: "0:node_name1[3 4],node_name2:1[2]{i32}->[20 15]".')
common_group.add_argument('--output',
help='The name of the output operation of the model. ' +
'For TensorFlow*, do not add :0 to this name.')
@@ -278,7 +277,7 @@ def get_common_cli_parser(parser: argparse.ArgumentParser = None):
help='Turn off fusing of grouped convolutions',
action=DeprecatedStoreTrue)
common_group.add_argument('--enable_concat_optimization',
help='Turn on concat optimization',
help='Turn on Concat optimization.',
action='store_true')
common_group.add_argument('--move_to_preprocess',
help='Move mean values to IR preprocess section',
@@ -322,13 +321,13 @@ def get_common_cli_parser(parser: argparse.ArgumentParser = None):
'This feature makes model reshapable in Inference Engine',
action='store_true', default=False)
common_group.add_argument('--disable_weights_compression',
help='Disable compression and store weights with original precision',
help='Disable compression and store weights with original precision.',
action='store_true', default=False)
common_group.add_argument('--progress',
help='Enables model conversion progress display',
help='Enable model conversion progress display.',
action='store_true', default=False)
common_group.add_argument('--stream_output',
help='Switches model conversion progress display to a multiline mode',
help='Switch model conversion progress display to a multiline mode.',
action='store_true', default=False)
common_group.add_argument('--transformations_config',
help='Use the configuration file with transformations description.',