From b034ee2f7ef6030afb47cf863eca1fffc068eb34 Mon Sep 17 00:00:00 2001 From: dohe0342 Date: Tue, 14 Feb 2023 18:42:02 +0900 Subject: [PATCH] from local --- egs/tedlium2/ASR/conformer_ctc3/.train.py.swp | Bin 61440 -> 61440 bytes .../ASR/conformer_ctc3/.transformer.py.swp | Bin 61440 -> 61440 bytes egs/tedlium2/ASR/conformer_ctc3/train.py | 2 +- .../ASR/conformer_ctc3/transformer.py | 1 - 4 files changed, 1 insertion(+), 2 deletions(-) diff --git a/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp index 02369516aac060c0c58cd1ba12fcef7ac93f85d0..f76600f2aa31497b8319b70d9fe76062037c8082 100644 GIT binary patch delta 17 ZcmZp8z})bFdBe6vOo_RhcP#So1prJ32tfb< delta 17 ZcmZp8z})bFdBe6vOu31hcP#So1prJF2tfb< diff --git a/egs/tedlium2/ASR/conformer_ctc3/.transformer.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.transformer.py.swp index 50f0cb9c7b0bbbfa9d299853d4697df34f4ad8d8..274f09b48b5fa816db84cf7b96cea8e00b5a6e96 100644 GIT binary patch delta 147 zcmZp8z})bFSuDvQ%+puFQqO<^2m}}y1jAn^ul})7%u0Y!cypk@X8YJ1JPZsDybxJo zkSZY9$j`vA7>J93*c6COfLI=g1%dbn9|OZ-AYKN<1wiZp#O^?B3B)=;{2gf4eIVWn U#15Mi177iL_KMxgv?yT$0FP81L;wH) delta 149 zcmZp8z})bFSuDvQ%+puFQqO<^2m}}yRJ~s(KX|uM%u0Y!WOJavX8YL7JPZu>ybxIt zkSZYf&(FZH0f-j?aS;%k0I@L;%K@=V0%Y4iVh#t8rsQy((` diff --git a/egs/tedlium2/ASR/conformer_ctc3/train.py b/egs/tedlium2/ASR/conformer_ctc3/train.py index 965f2d32f..03af4f00a 100755 --- a/egs/tedlium2/ASR/conformer_ctc3/train.py +++ b/egs/tedlium2/ASR/conformer_ctc3/train.py @@ -582,7 +582,7 @@ def compute_loss( use_double_scores=params.use_double_scores, ) - elif parmas.interctc and params.condition: + elif params.interctc and params.condition: dense_fsa_vec = k2.DenseFsaVec( nnet_output[0], supervision_segments, diff --git a/egs/tedlium2/ASR/conformer_ctc3/transformer.py b/egs/tedlium2/ASR/conformer_ctc3/transformer.py index 6743734a6..58e93d0bd 100644 --- a/egs/tedlium2/ASR/conformer_ctc3/transformer.py +++ b/egs/tedlium2/ASR/conformer_ctc3/transformer.py @@ -189,7 +189,6 @@ class Transformer(nn.Module): if type(encoder_memory) == tuple: (encoder_memory, layer_outputs) = encoder_memory layer_outputs = [self.ctc_output(x) for x in layer_outputs] - return (x, layer_outputs), encoder_memory, memory_key_padding_mask else: x = self.ctc_output(encoder_memory)