[PyTorch] Kaggle Dog Explicitly move to cpu before plotting #1966
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Fix TypeError: can’t convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first
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Job d2l-en/PR-1966/1 is complete. |
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Sure. We won't merge until we dive deep to find out the root cause... |
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Job d2l-en/PR-1966/2 is complete. |
AnirudhDagar
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We should merge this now @astonzhang. Root cause explained in #2044 |
AnirudhDagar
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Mar 2, 2022
Fix TypeError: can’t convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first
astonzhang
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Mar 7, 2022
* Explicitly move to cpu before plotting (#1966) Fix TypeError: can’t convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first * [MXNet] Fix plots with numpy>=1.20 * [CI] Use cuda 10.2 and 11.2; bump tf==2.8.0 * MAINT: Update dependencies * [CI] Bump torch==1.10.2 and torchvision==0.11.3 (#2051) * [CI] Bump torch==1.10.2 and torchvision==0.11.3 * [PyTorch] Fix 1.10.2 support; cast boolean type to float before mean * MAINT: Use d2l-worker node for build * d2lbook clear and rebuild * CI: Remove d2lbook clear * Remove imported members from d2l API This will also fix the issue described in #2055 (comment)
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Fix TypeError: can’t convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
Please DO NOT MERGE this yet.
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