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Creating a tensor from a list of numpy.ndarrays is extremely slow #367

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skol101 opened this issue Jun 3, 2022 · 1 comment
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Creating a tensor from a list of numpy.ndarrays is extremely slow #367

skol101 opened this issue Jun 3, 2022 · 1 comment

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@skol101
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skol101 commented Jun 3, 2022

FYI on v 0.5.4. Maybe this has been fixed?

train.py:600: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811806235/work/torch/csrc/utils/tensor_new.cpp:201.)
y_batch = torch.tensor(y_batch, dtype=torch.float).unsqueeze(1) # (B, 1, T)
kan-bayashi added a commit that referenced this issue Jun 6, 2022
@kan-bayashi
fixed #367
c48d1ee
@kan-bayashi
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Than you for your report. Fixed in #367.

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@kan-bayashi @skol101