def CTFDeserializer(filename, streams):
'''
Configures the CNTK text-format reader that reads text-based files with
lines of the form::
[Sequence_Id] (Sample)+
where::
Sample=|Input_Name (Value )*
Args:
filename (str): file name containing the text input
streams: any dictionary-like object that contains a mapping from stream
names to :class:`StreamDef` objects. Each StreamDef object configures
an input stream.
See also:
:cntkwiki:`CNTKTextReader format <BrainScript-CNTKTextFormat-Reader>`
'''
for k, s in streams.items():
if s.stream_alias is None:
raise ValueError("CTFDeserializer: stream name for key %s must be "
"specified" % k)
sc = [
cntk_py.StreamConfiguration(k, s.dim, s.is_sparse, s.stream_alias,
s['defines_mb_size'])
for k, s in streams.items()
]
return cntk_py.ctf_deserializer(filename, sc)
def CTFDeserializer(filename, streams):
'''
Configures the CNTK text-format reader that reads text-based files with
lines of the form::
[Sequence_Id] (Sample)+
where::
Sample=|Input_Name (Value )*
Args:
filename (str): file name containing the text input
streams: any dictionary-like object that contains a mapping from stream
names to :class:`StreamDef` objects. Each StreamDef object configures
an input stream.
See also:
:cntkwiki:`CNTKTextReader format <BrainScript-CNTKTextFormat-Reader>`
'''
for k, s in streams.items():
if s.stream_alias is None:
raise ValueError("CTFDeserializer: stream name for key %s must be "
"specified" % k)
sc = [cntk_py.StreamConfiguration(
k, s.dim, s.is_sparse, s.stream_alias, s['defines_mb_size']) for k, s in streams.items()]
return cntk_py.ctf_deserializer(filename, sc)
