XMUSPEECH

Results 7 issues of XMUSPEECH

[root@localhost wav2vec2.0]# HYDRA_FULL_ERROR=1 CUDA_VISIBLE_DEVICES=0,1 fairseq-hydra-train --config-dir /work/la/fairseq/examples/wav2vec/config/pretraining/ --config-name wav2vec2_large_minnanyu0 Traceback (most recent call last): File "/root/anaconda3/envs/fairseq/bin/fairseq-hydra-train", line 8, in sys.exit(cli_main()) File "/work/la/fairseq/fairseq_cli/hydra_train.py", line 87, in cli_main hydra_main() File "/root/anaconda3/envs/fairseq/lib/python3.8/site-packages/hydra/main.py", line...

question
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usage: fairseq-hydra-train [--help] [--hydra-help] [--version] [--cfg {job,hydra,all}] [--package PACKAGE] [--run] [--multirun] [--shell-completion] [--config-path CONFIG_PATH] [--config-name CONFIG_NAME] [--config-dir CONFIG_DIR] [--info] [overrides [overrides ...]] fairseq-hydra-train: error: unrecognized arguments: --layer-type conformer --attn-type espnet...

question
needs triage

非常感谢您的伟大贡献! 有几个问题想请教一下。先前的结构化剪枝没有这个分析依赖关系吗那它们剪枝以后也不会出现结构错误报错啊,它们是手动分析依赖关系的?不理解这篇文章和之前的结构化剪枝的区别。 感谢您万分忙碌下查看此信件,期待您的回复。

Thank you for your great work! I encountered the following problem when reproducing pruning. What happened? Traceback (most recent call last): File "prune_hf_wav2vec.py", line 68, in for g in pruner.step(interactive=True):...

您好,非常感谢您在万般忙碌抽空看这封信, 我在剪枝的时候遇到一个问题,有一个参数它不能构建依赖图,报错信息如下: unwrapped_paramters [UnwrappedParameters(parameters=Parameter containing: tensor([0.5190, 0.0565, 0.3977, ..., 0.2764, 0.2888, 0.1559], requires_grad=True), pruning_dim=0)] Traceback (most recent call last): File "prune_hf_wav2vec.py", line 49, in pruner = tp.pruner.MetaPruner( File "/root/anaconda3/envs/hugface2/lib/python3.8/site-packages/torch_pruning/pruner/algorithms/metapruner.py", line...

Looking forward to posting the code