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fix: Import OrderedDict in encoder.py #22

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Merged
haerski merged 2 commits into from
Apr 1, 2026
Merged

fix: Import OrderedDict in encoder.py #22

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491f470
fix: Import OrderedDict in encoder.py
itsPronay Mar 9, 2026
2c10baa
remove dead code
haerski Apr 1, 2026
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54 changes: 0 additions & 54 deletions src/liquid_audio/model/conformer/encoder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -215,60 +215,6 @@ def input_example(self, max_batch=1, max_dim=256):

return all_input_example

@property
def input_types(self):
"""Returns definitions of module input ports."""
return OrderedDict(
{
"audio_signal": NeuralType(('B', 'D', 'T'), SpectrogramType()),
"length": NeuralType(tuple('B'), LengthsType()),
"cache_last_channel": NeuralType(('D', 'B', 'T', 'D'), ChannelType(), optional=True),
"cache_last_time": NeuralType(('D', 'B', 'D', 'T'), ChannelType(), optional=True),
"cache_last_channel_len": NeuralType(tuple('B'), LengthsType(), optional=True),
"bypass_pre_encode": NeuralType(tuple(), BoolType(), optional=True),
}
)

@property
def input_types_for_export(self):
"""Returns definitions of module input ports."""
return OrderedDict(
{
"audio_signal": NeuralType(('B', 'D', 'T'), SpectrogramType()),
"length": NeuralType(tuple('B'), LengthsType()),
"cache_last_channel": NeuralType(('B', 'D', 'T', 'D'), ChannelType(), optional=True),
"cache_last_time": NeuralType(('B', 'D', 'D', 'T'), ChannelType(), optional=True),
"cache_last_channel_len": NeuralType(tuple('B'), LengthsType(), optional=True),
"bypass_pre_encode": NeuralType(tuple(), BoolType(), optional=True),
}
)

@property
def output_types(self):
"""Returns definitions of module output ports."""
return OrderedDict(
{
"outputs": NeuralType(('B', 'D', 'T'), AcousticEncodedRepresentation()),
"encoded_lengths": NeuralType(tuple('B'), LengthsType()),
"cache_last_channel_next": NeuralType(('D', 'B', 'T', 'D'), ChannelType(), optional=True),
"cache_last_time_next": NeuralType(('D', 'B', 'D', 'T'), ChannelType(), optional=True),
"cache_last_channel_next_len": NeuralType(tuple('B'), LengthsType(), optional=True),
}
)

@property
def output_types_for_export(self):
"""Returns definitions of module output ports."""
return OrderedDict(
{
"outputs": NeuralType(('B', 'D', 'T'), AcousticEncodedRepresentation()),
"encoded_lengths": NeuralType(tuple('B'), LengthsType()),
"cache_last_channel_next": NeuralType(('B', 'D', 'T', 'D'), ChannelType(), optional=True),
"cache_last_time_next": NeuralType(('B', 'D', 'D', 'T'), ChannelType(), optional=True),
"cache_last_channel_next_len": NeuralType(tuple('B'), LengthsType(), optional=True),
}
)

@property
def disabled_deployment_input_names(self):
if not self.export_cache_support:
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26 changes: 0 additions & 26 deletions src/liquid_audio/model/conformer/processor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -149,32 +149,6 @@ def save_to(self, save_path: str):
def restore_from(cls, restore_path: str):
pass

@property
def input_types(self):
"""Returns definitions of module input ports."""
return {
"input_signal": NeuralType(('B', 'T'), AudioSignal(freq=self._sample_rate)),
"length": NeuralType(
tuple('B'), LengthsType()
), # Please note that length should be in samples not seconds.
}

@property
def output_types(self):
"""Returns definitions of module output ports.

processed_signal:
0: AxisType(BatchTag)
1: AxisType(MelSpectrogramSignalTag)
2: AxisType(ProcessedTimeTag)
processed_length:
0: AxisType(BatchTag)
"""
return {
"processed_signal": NeuralType(('B', 'D', 'T'), MelSpectrogramType()),
"processed_length": NeuralType(tuple('B'), LengthsType()),
}

def __init__(
self,
sample_rate=16000,
Expand Down
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