Comments (5)
Jorghi12
commented on September 27, 2024
2
The development of RCCL appears partially functional. Exciting!
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sergey-serebryakov
commented on September 27, 2024
Hi!
Was trying to run PyTorch with eight MI25s (single node) and found this comment and then this thread. Do you have any estimates when PyTorch might get multi-GPU support on ROCm platform?
Thanks.
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iotamudelta
commented on September 27, 2024
@sergey-serebryakov We are actively working on adding multi-GPU support. We hope to have news on experimental support soon!
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sergey-serebryakov
commented on September 27, 2024
@iotamudelta Thank you! Looking forward to it.
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iotamudelta
commented on September 27, 2024
Closing, mGPU is supported now.
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Related Issues (20)
- Some API bugs on navi3 HOT 1
- import pytorch with rocm support will just crash on a CPU without AVX
- No CPU fallback? HOT 2
- Pytorch import is extremely slow HOT 6
- Torch.nn.functional.one_hot does not work as expected with ROCM
- GPU Not getting detected HOT 4
- When would you support USE_FLASH_ATTENTION compile?
- PyTorch microbenchmark fails to run using 7900XTX HOT 8
- Nod-ai/SHARK using ROCm 5.7 & 7900XTX causes errors in dmesg
- 7900XTX Severely reduced SD single batch performance when moving from 5.6 to 5.7
- "test_nn" failed in Pytorch-UT with AssertionError SWDEV-424308
- System shared libraries should be preferred when newer than the bundled ones in the wheel
- Add support for memory efficient attention for AMD/ROCm HOT 1
- Windows Support HOT 1
- torch.cuda.device() does not seem to have an effect
- RuntimeError: HIP error when running ResNet-50 on AMD PRO W7900 GPU with PyTorch HOT 4
- fastai example no longer runs on 7900XTX using ROCm 6.1 HOT 1
- torch multinomial causes severe stall in Hugginface Transformers LLM generation HOT 1
- Implementing own quite naive gemv kernel as replacement of default used in nn.Linear gives 20% better speed on MI100
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