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I am trying to get this to run on a NVIDIA T4. However I always get an error. When I run it on a cpu it works great. Just a bit too slow for larger files.
The error:
lh2dg 2022-11-13T10:55:35.504Z layer_outputs = layer( l
h2dg 2022-11-13T10:55:35.504Z encoder_outputs = self.encoder(
lh2dg 2022-11-13T10:55:35.504Z File "/opt/conda/lib/python3.9/site-packages/transformers/models/wav2vec2/modeling_wav2vec2.py", line 872, in forward
lh2dg 2022-11-13T10:55:35.504Z return forward_call(*input, **kwargs)
lh2dg 2022-11-13T10:55:35.504Z return forward_call(*input, **kwargs) lh2dg 2022-11-13T10:55:35.505Z attn_weights = torch.bmm(query_states, key_states.transpose(1, 2))
lh2dg 2022-11-13T10:55:35.505Z **RuntimeError: CUDA error: CUBLAS_STATUS_INVALID_VALUE when calling `cublasSgemmStridedBatched( handle, opa, opb, m, n, k, &alpha, a, lda, stridea, b, ldb, strideb, &beta, c, ldc, stridec, num_batches)`**
The text was updated successfully, but these errors were encountered:
Also on CPU I noticed that for recordings longer than 1 minute, the program crashes. Is there something I can configure to make longer recordings work?
What
I am trying to get this to run on a NVIDIA T4. However I always get an error. When I run it on a cpu it works great. Just a bit too slow for larger files.
The error:
The text was updated successfully, but these errors were encountered: