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### 🐛 Describe the bug
When I use `torch.compile()` to compile a model like below, the output is **random tensor** but actually they should be **zero**.
I made some ablations which are write in t…
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### Your current environment
The output of `python collect_env.py`
```text
Collecting environment information...
PyTorch version: 2.4.0+cu121
Is debug build: False
CUDA used to build PyTorch…
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### 🐛 Describe the bug
`num_heads = 0` leads to crash by division by zero.
Test code:
```c++
#include
#include
#include
#include
#include
namespace F = torch::nn::functional;
using …
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### 🐛 Describe the bug
When I `torch.compile` some code that receives an argument of type nn.Module, the recompilation is triggered on each call with a different instance. Expected it to recompile on…
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### Your current environment
```text
Collecting environment information...
PyTorch version: 2.2.1+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
…
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### Your current environment
```text
Collecting environment information...
PyTorch version: 2.1.2+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
…
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### Your current environment
The output of `python collect_env.py`
```text
No module named 'vllm._version'
from vllm.version import __version__ as VLLM_VERSION
PyTorch version: 2.4.0+cu121
…
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### 🐛 Describe the bug
When using torch.compile on a model that includes the backward pass of torch.cumprod, the compiled version is significantly slower than the eager execution, especially for la…
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# Feature Request
When I need to review large data sets with many tables and columns it would be helpful if there was a function that would suggest the columns and tables that may contain likely PII …
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### 🐛 Describe the bug
```python
import torch
@torch.compile(dynamic=True, backend='eager')
def f(x):
return 1 >` and `
ar0ck updated
1 month ago