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MASR-develop/masr/model_utils/deepspeech2/encoder.py", line 41, in forward
x = nn.utils.rnn.pack_padded_sequence(x, x_lens.cpu(), batch_first=True)
in pack_padded_sequence
_VF._pack_padded_…
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deepspeech2使用librispeech数据集基于Ascend做静态图分布式训练时,开始出现报错信息,但之后训练会正常进行,并有日志信息打印
版本信息:mindspore:1.9.0 mindaudio:2023.03.16
![deepspeech2_3](https://user-images.githubusercontent.com/76412544/226824365-b4d…
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deepspeech2使用librispeech数据集基于Ascend做动态图分布式训练时,开始出现报错信息,但之后训练会正常进行,并有日志信息打印
版本信息:mindspore:1.9.0 mindaudio:2023.03.16
![deepspeech2_1](https://user-images.githubusercontent.com/76412544/226824049-6a…
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deepspeech2在ascend上无法复现权重文件精度
版本信息:mindspore:1.9.0 mindaudio:2023.03.16
1. readme中的精度标准
![deepspeech2_5](https://user-images.githubusercontent.com/76412544/226824784-7c09283f-a936-41d5-8fbe-7db6c1f…
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deepspeech2在gpu上执行训练时,内存占用过大,会导致内存爆掉,最终触发killed。尝试将batchsize降为1,仍存在该问题
执行步骤:python train.py --config ./hparams/DeepSpeech2.yaml --device_target GPU --device_id 0
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请在readme中添加分布式训练的执行方法
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我想问一下 deepspeech2转onnx模型有详细点的教程吗。我看了一下官方提供的infer_check.py代码(位于paddlespeechdevelop/speechx/examples/ds2_ol/onnx/local/infer_check.py),显示onnx模型的输入是audio_chunk,audio_chunk_lens,chunk_state_h_box,chunk_st…
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运行deepspeech2offline_aishell模型的时候提示:
Connected to pydev debugger (build 201.8538.36)
/home/ssd/suimang/miniconda3/envs/paddle/lib/python3.7/site-packages/librosa/core/constantq.py:1059: Deprecatio…
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We downloaded the librespeech model for speech recognition, but soundfile does not seem to be working with the code provided. We have pip installed soundfile and it seems to import just fine, but the …