406d03bfaf
- updates to support ROCm 5.2 - workarounds in tests where NV tools were used unconditionally - implemented `get_num_blocks()` and `add_memfence()` for AMD GPU - backported from history some atomics - added bf16 support - minor warnings cleanup - added dockerfile to run on a ROCm enabled machine Co-authored-by: B1tway <andrew.shukshov@gmail.com> Co-authored-by: Andrey Shukshov <36711069+B1tway@users.noreply.github.com>
15 lines
646 B
Docker
15 lines
646 B
Docker
FROM rocm/pytorch:rocm5.2.3_ubuntu20.04_py3.7_pytorch_1.12.1
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# build triton
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RUN export TRITON_USE_ROCM=ON MI_GPU_ARCH=gfx90a
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# Unit Tests
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# to run unit tests
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# 1. build this Dockerfile
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# docker build --build-arg -f triton_rocm_20-52.Dockerfile -t triton_rocm52 .
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# 2. run docker container
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# docker run -it --rm --network=host --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --name triton --ipc=host --shm-size 16G --device=/dev/kfd --device=/dev/dri triton_rocm52:latest
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# 3. run core unit tests on a rocm machine
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# cd ~/triton/python
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# pytest --verbose test/unit/language/test_core.py | tee test_core.log
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