From 837dc3758a5364fd720bb44f497c82aebe4f7dab Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 21 二月 2023 16:36:15 +0800
Subject: [PATCH] Merge branch 'main' of github.com:alibaba-damo-academy/FunASR add
---
funasr/export/models/e2e_asr_paraformer.py | 14 ++++++++++----
1 files changed, 10 insertions(+), 4 deletions(-)
diff --git a/funasr/export/models/e2e_asr_paraformer.py b/funasr/export/models/e2e_asr_paraformer.py
index dd87213..bf5ed1e 100644
--- a/funasr/export/models/e2e_asr_paraformer.py
+++ b/funasr/export/models/e2e_asr_paraformer.py
@@ -59,21 +59,27 @@
enc, enc_len = self.encoder(**batch)
mask = self.make_pad_mask(enc_len)[:, None, :]
pre_acoustic_embeds, pre_token_length, alphas, pre_peak_index = self.predictor(enc, mask)
- pre_token_length = pre_token_length.round().long()
+ pre_token_length = pre_token_length.round().type(torch.int32)
decoder_out, _ = self.decoder(enc, enc_len, pre_acoustic_embeds, pre_token_length)
decoder_out = torch.log_softmax(decoder_out, dim=-1)
+ # sample_ids = decoder_out.argmax(dim=-1)
return decoder_out, pre_token_length
-
- # def get_output_size(self):
- # return self.model.encoders[0].size
def get_dummy_inputs(self):
speech = torch.randn(2, 30, self.feats_dim)
speech_lengths = torch.tensor([6, 30], dtype=torch.int32)
return (speech, speech_lengths)
+ def get_dummy_inputs_txt(self, txt_file: str = "/mnt/workspace/data_fbank/0207/12345.wav.fea.txt"):
+ import numpy as np
+ fbank = np.loadtxt(txt_file)
+ fbank_lengths = np.array([fbank.shape[0], ], dtype=np.int32)
+ speech = torch.from_numpy(fbank[None, :, :].astype(np.float32))
+ speech_lengths = torch.from_numpy(fbank_lengths.astype(np.int32))
+ return (speech, speech_lengths)
+
def get_input_names(self):
return ['speech', 'speech_lengths']
--
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