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### 🐛 Describe the bug
`to(torch.int8)` will get different result on XPU.
```python
import torch
torch.tensor([[ 57.7637, 215.2612, 212.4291],[193.8332, 227.0923, 158.8016]], device='cpu').t…
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### 🐛 Describe the bug
This issue is related to https://github.com/pytorch/pytorch/issues/134687
Unit test test_transformerencoderlayer_cuda_float32 (in `test_nn.py`) performs the following test…
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### Describe the issue:
I want to make sure that some variable is an instance of `np.uint64`. To this end, I use the following:
```
assert isinstance(idx, np.uint64)
```
However, in that case…
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### System Information
OpenCV version: 4.9.0
Operating System / Platform: Windows 11
CMake
### Detailed description
When building OpenCV with NVIDIA CUDA support using CMake, this error happens:
…
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> > (@junghans how does the conda-forge votca handle this? Does it just use an arbitrary compiler and not run the `check_compiler()` function?)
>
> VOTCA's CMake runs `check_cxx_compiler_flag()`, b…
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### Describe the issue:
After upgrading to any Numpy version >= 1.23, importing setup_common, which can be used to get the current C_API_VERSION, does not work anymore. This was tested on both pyth…
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### 🐛 Describe the bug
# Summary
Calling `torch.binomial()` produces an unhelpful and counter-intuitive error message when you pass in tensors with the incorrect dtype.
## Reproduction Steps
```…
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**Describe the bug**
Hi Dr @clementpoiret! Now that you have graduated :tada: here is a technical issue to keep you busy :wink:
On a workstation with AVX512 and VNNI CPU capabilities, I am gett…
ylep updated
11 months ago
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### 🚀 The feature, motivation and pitch
Hey!
We are implementing custom data transforms pipeline. It involves subprocesses for parallel data processing. The pipeline works great, passing pytorch…
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Right now `wasmer` unconditionally emits some AVX1 instructions, which is typically considered to be outside of what `x86_64` means. More precisely this would fall into the newly coined `x86_64-v3` fe…