Python _ClassFromDictの例

コード例 #1

ファイル: __init__.py プロジェクト: Soukiy/CNTK

def _unused_CNTKTextFormatMinibatchSource(path, streams, epoch_size=None): # TODO: delete this
    from cntk.utils import _ClassFromDict
    # convert streams into StreamConfiguration format
    # TODO: stream_alias should default to 'key'
    stream_configs = [ StreamConfiguration(key, dim=value.dim, is_sparse=value.is_sparse, stream_alias=value.stream_alias) for (key, value) in streams.items() ]
    if epoch_size is not None:  # TODO: use MAX_UI64, now that we have access
        source = text_format_minibatch_source(path, stream_configs, epoch_size)
    else:
        source = text_format_minibatch_source(path, stream_configs)
    # attach a dictionary of the streams
    source.streams = _ClassFromDict({ name : source.stream_info(name) for name in streams.keys() })
    return source

コード例 #2

def _unused_CNTKTextFormatMinibatchSource(path, streams, epoch_size=None): # TODO: delete this
    from cntk.utils import _ClassFromDict
    # convert streams into StreamConfiguration format
    # TODO: stream_alias should default to 'key'
    stream_configs = [ StreamConfiguration(key, dim=value.dim, is_sparse=value.is_sparse, stream_alias=value.stream_alias) for (key, value) in streams.items() ]
    if epoch_size is not None:  # TODO: use MAX_UI64, now that we have access
        source = text_format_minibatch_source(path, stream_configs, epoch_size)
    else:
        source = text_format_minibatch_source(path, stream_configs)
    # attach a dictionary of the streams
    source.streams = _ClassFromDict({ name : source.stream_info(name) for name in streams.keys() })
    return source