Comments (1)
Yes, this is exactly how it works at present. But it is not designed to directly compile HIP code written in tensorflow/torch.
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Related Issues (20)
- gfx 1031 hip kernel crash HOT 1
- Running ROCm computations on Windows over AMD GPU HOT 14
- This repo is missing important files
- Change the cache directory HOT 4
- [BUG] Tune a bert-base-fp16 failed HOT 1
- [Help Request] How can Antares IR support stride size > 1 's Slice operation? HOT 3
- Can antares assign specified gpus for evaluation? HOT 1
- how can antares surport loop which index doesn't start with 0 HOT 5
- Benchmarks HOT 3
- is it possible c-ocl_*_win64 HOT 15
- Fail to compile, when I use "AMDGFX=gfx1031 BACKEND=c-rocm_win64 antares" HOT 9
- The residue of the last issue (#365)
- [Error] error: ‘CHECK_EQ’ was not declared in this scope; did you mean ‘CHECK_OK’? HOT 17
- Assertion error: SDK for `c-rocm_win64` is not configured correctly, HOT 3
- Is this project based on AI? What is the goal of this project? HOT 3
- will this project replace torch-directml? HOT 2
- Is ROCm no longer supported by 0.9.x? HOT 16
- Lack operator implementation for DirectX: torch.abs() HOT 2
- Is there any document for performance benchmark result vs pytorch2.1 compile mode? HOT 1
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