From c38248fb6f3830f07884e985b865b06cf5573a6d Mon Sep 17 00:00:00 2001 From: jinzr Date: Tue, 31 Oct 2023 10:13:35 +0800 Subject: [PATCH] incorporate https://github.com/k2-fsa/icefall/pull/1269 --- egs/aishell/ASR/zipformer/train.py | 2 +- egs/gigaspeech/ASR/zipformer/train.py | 2 +- egs/libriheavy/ASR/zipformer_prompt_asr/train_baseline.py | 2 +- egs/libriheavy/ASR/zipformer_prompt_asr/train_bert_encoder.py | 2 +- egs/librispeech/ASR/tiny_transducer_ctc/train.py | 4 +--- egs/librispeech/ASR/zipformer_ctc/train.py | 2 +- 6 files changed, 6 insertions(+), 8 deletions(-) diff --git a/egs/aishell/ASR/zipformer/train.py b/egs/aishell/ASR/zipformer/train.py index 7e7b02829..d381649e4 100755 --- a/egs/aishell/ASR/zipformer/train.py +++ b/egs/aishell/ASR/zipformer/train.py @@ -1128,7 +1128,7 @@ def run(rank, world_size, args): if params.print_diagnostics: opts = diagnostics.TensorDiagnosticOptions( - 2**22 + 512 ) # allow 4 megabytes per sub-module diagnostic = diagnostics.attach_diagnostics(model, opts) diff --git a/egs/gigaspeech/ASR/zipformer/train.py b/egs/gigaspeech/ASR/zipformer/train.py index d8ff4fecc..d93cc221c 100755 --- a/egs/gigaspeech/ASR/zipformer/train.py +++ b/egs/gigaspeech/ASR/zipformer/train.py @@ -1164,7 +1164,7 @@ def run(rank, world_size, args): if params.print_diagnostics: opts = diagnostics.TensorDiagnosticOptions( - 2**22 + 512 ) # allow 4 megabytes per sub-module diagnostic = diagnostics.attach_diagnostics(model, opts) diff --git a/egs/libriheavy/ASR/zipformer_prompt_asr/train_baseline.py b/egs/libriheavy/ASR/zipformer_prompt_asr/train_baseline.py index 32302602c..c8b20d021 100644 --- a/egs/libriheavy/ASR/zipformer_prompt_asr/train_baseline.py +++ b/egs/libriheavy/ASR/zipformer_prompt_asr/train_baseline.py @@ -1194,7 +1194,7 @@ def run(rank, world_size, args): if params.print_diagnostics: opts = diagnostics.TensorDiagnosticOptions( - 2**22 + 512 ) # allow 4 megabytes per sub-module diagnostic = diagnostics.attach_diagnostics(model, opts) diff --git a/egs/libriheavy/ASR/zipformer_prompt_asr/train_bert_encoder.py b/egs/libriheavy/ASR/zipformer_prompt_asr/train_bert_encoder.py index e253d1118..9822b99c1 100755 --- a/egs/libriheavy/ASR/zipformer_prompt_asr/train_bert_encoder.py +++ b/egs/libriheavy/ASR/zipformer_prompt_asr/train_bert_encoder.py @@ -1565,7 +1565,7 @@ def run(rank, world_size, args): if params.print_diagnostics: args.max_duration = 100 opts = diagnostics.TensorDiagnosticOptions( - 2**22 + 512 ) # allow 4 megabytes per sub-module diagnostic = diagnostics.attach_diagnostics(model, opts) diff --git a/egs/librispeech/ASR/tiny_transducer_ctc/train.py b/egs/librispeech/ASR/tiny_transducer_ctc/train.py index 307ad72aa..8920764cd 100644 --- a/egs/librispeech/ASR/tiny_transducer_ctc/train.py +++ b/egs/librispeech/ASR/tiny_transducer_ctc/train.py @@ -89,7 +89,6 @@ def set_batch_count(model: Union[nn.Module, DDP], batch_count: float) -> None: def add_model_arguments(parser: argparse.ArgumentParser): - parser.add_argument( "--encoder-dim", type=int, @@ -405,7 +404,6 @@ def get_params() -> AttributeDict: def get_encoder_model(params: AttributeDict) -> nn.Module: - encoder = Conv1dNet( output_dim=params.encoder_dim, input_dim=params.feature_dim, @@ -1043,7 +1041,7 @@ def run(rank, world_size, args): if params.print_diagnostics: opts = diagnostics.TensorDiagnosticOptions( - 2**22 + 512 ) # allow 4 megabytes per sub-module diagnostic = diagnostics.attach_diagnostics(model, opts) diff --git a/egs/librispeech/ASR/zipformer_ctc/train.py b/egs/librispeech/ASR/zipformer_ctc/train.py index f40344357..60990456d 100755 --- a/egs/librispeech/ASR/zipformer_ctc/train.py +++ b/egs/librispeech/ASR/zipformer_ctc/train.py @@ -947,7 +947,7 @@ def run(rank, world_size, args): if params.print_diagnostics: opts = diagnostics.TensorDiagnosticOptions( - 2**22 + 512 ) # allow 4 megabytes per sub-module diagnostic = diagnostics.attach_diagnostics(model, opts)