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Remove simulate streaming from stateless8 (#985)

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Yifan Yang 2023-04-04 11:04:00 +08:00 committed by GitHub
parent d337398d29
commit c90f57afdb
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1 changed files with 1 additions and 48 deletions
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49
egs/librispeech/ASR/pruned_transducer_stateless8/decode.py
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@ -301,29 +301,6 @@ def get_parser():
fast_beam_search_nbest_LG, and fast_beam_search_nbest_oracle""",
)
parser.add_argument(
"--simulate-streaming",
type=str2bool,
default=False,
help="""Whether to simulate streaming in decoding, this is a good way to
test a streaming model.
""",
)
parser.add_argument(
"--decode-chunk-size",
type=int,
default=16,
help="The chunk size for decoding (in frames after subsampling)",
)
parser.add_argument(
"--left-context",
type=int,
default=64,
help="left context can be seen during decoding (in frames after subsampling)",
)
add_model_arguments(parser)
return parser
@ -378,22 +355,7 @@ def decode_one_batch(
supervisions = batch["supervisions"]
feature_lens = supervisions["num_frames"].to(device)
if params.simulate_streaming:
feature_lens += params.left_context
feature = torch.nn.functional.pad(
feature,
pad=(0, 0, 0, params.left_context),
value=LOG_EPS,
)
encoder_out, encoder_out_lens, _ = model.encoder.streaming_forward(
x=feature,
x_lens=feature_lens,
chunk_size=params.decode_chunk_size,
left_context=params.left_context,
simulate_streaming=True,
)
else:
encoder_out, encoder_out_lens = model.encoder(x=feature, x_lens=feature_lens)
encoder_out, encoder_out_lens = model.encoder(x=feature, x_lens=feature_lens)
hyps = []
@ -651,10 +613,6 @@ def main():
else:
params.suffix = f"epoch-{params.epoch}-avg-{params.avg}"
if params.simulate_streaming:
params.suffix += f"-streaming-chunk-size-{params.decode_chunk_size}"
params.suffix += f"-left-context-{params.left_context}"
if "fast_beam_search" in params.decoding_method:
params.suffix += f"-beam-{params.beam}"
params.suffix += f"-max-contexts-{params.max_contexts}"
@ -690,11 +648,6 @@ def main():
params.unk_id = sp.piece_to_id("<unk>")
params.vocab_size = sp.get_piece_size()
if params.simulate_streaming:
assert (
params.causal_convolution
), "Decoding in streaming requires causal convolution"
logging.info(params)
logging.info("About to create model")