Comments (4)
checking with @gchanan and @yf225 , is this fine to do?
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Yes we should use torch::
in the cpp and cuda modules as we are deprecating the at::
namespace in the public API. @ClementPinard We would love to have PR contribution on it. Thanks!
from extension-cpp.
which cpu and cuda modules are you talking about?
from extension-cpp.
https://github.com/pytorch/extension-cpp/tree/master/cpp
https://github.com/pytorch/extension-cpp/tree/master/cuda
Also, I would like to make this example more up to date in general to help people develop cuda modules easily.
More specificly, I'd like to solve the fmax
issue that seems to bother many people since the beginning, and seems to be solvable by a scalar_t
cast. (see #27 , this does not seem to be an environment error).
Besides, as suggested #12 , I'd like to add usage of .packed_accessor
in the cuda kernel.
Finally, I'd like to update the tutorial code here to reflect those changes, along maybe a mention to packed_accessor
in the tensor basics doc here
How does that sound to you ? Unfortunately, i'm stuck at the moment because of #27 but hopefully I'll find a solution or a working setup where the code compiles.
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Related Issues (20)
- www.facebook.com/rozi.khatun.961
- This repo can not compile using Pytorch 1.6.0 HOT 1
- This repo can not compile using Pytorch 1.6.0 HOT 1
- A question about backward propagation speed in cpp extension in tutorial
- Error when building cpp extension HOT 1
- AttributeError: module 'depthwise' has no attribute 'forward'
- cuda does not install HOT 17
- How does the layer of C++ extensions translate to TorchScript or onnx? HOT 1
- Cannot Unpack, Too Many Items
- How to debug in cuda-pytorch env?
- Writing a custom C++ extension with variants for both CPU and GPU? HOT 2
- Custom CUDA operator only work well on cuda:0 HOT 3
- How can I access data in cuda kernel like in pytorch?
- error LNK2001 undefined reference to `__cudaRegisterLinkedBinary
- Relation between at::Half and __half
- Deprecation warning
- Scikit-build-core / scikit-build support for binding
- `TORCH_LIBRARY` and `m.def` Not Working as Documented
- [feature request] Instruction on how to setup compile-env for Windows
- JIT-compiling the extension results in non-functional Python module.
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