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This means: adding indices and multiplying by a constant (stride).
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### 🚀 The feature, motivation and pitch
1. torch.backends.mkldnn.flags() got an unexpected keyword argument 'deterministic'---fixed
cases:
```python
test/xpu/nn/test_convolution_xpu.py::TestConvo…
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- This deep learning project utilizes a convolutional neural network (CNN) to analyze and classify astronomical 🪐 images captured by the James Webb Space Telescope 🔭. The model is trained on a vast da…
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### 🐛 Describe the bug
I would have like to use torch.export.save / .load as a protocol for exporting with executorch (it would enable me to run executorch in a container), but for some reason it p…
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The author of hitnet used dilated convolution in the last three propagations of the paper, but the model you provided did not use dilated convolution. Why? Is it because this works better or is there …
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How are the stride and padding handled in convolution transpose vl_nnconvt function?
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should we add a convolution synth effect to superdirt for these?
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I wanted to use this library for a CNN. After a quick look at the source, it doesn't look like you use the the [FFT algorithm for fast convolution](https://en.m.wikipedia.org/wiki/Convolution_theorem)…
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Hello!
Thank you for the repo. The paper mentions that the private encoders apply a position-wise MLP
with parameter to encode input X. Also, M independent temporal convolutions are applied with va…
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The implementation would be easy, but could help many people suffered from the headache of calculating how many padding they need.
cc @ezyang @gchanan @zou3519 @bdhirsh @jbschlosser @albanD @mruberry…