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Switch from w7900 to using any persistent cache runner for CPU. #18322

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Aug 22, 2024
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8 changes: 6 additions & 2 deletions .github/workflows/pkgci_regression_test.yml
Original file line number Diff line number Diff line change
Expand Up @@ -133,7 +133,11 @@ jobs:
# CPU
- name: cpu_llvm_task
models-config-file: models_cpu_llvm_task.json
runs-on: nodai-amdgpu-w7900-x86-64
runs-on:
- self-hosted # must come first
- persistent-cache
- Linux
- X64

# AMD GPU
- name: amdgpu_rocm_mi250_gfx90a
Expand Down Expand Up @@ -234,7 +238,7 @@ jobs:
- name: cpu_llvm_task
models-config-file: models_cpu_llvm_task.json
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mi250:

============================== slowest durations ===============================
597.91s call     shark-test-suite-models/sdxl/test_unet.py::test_run_unet_cpu
292.26s call     shark-test-suite-models/sdxl/test_vae.py::test_run_vae_cpu
38.20s call     shark-test-suite-models/sdxl/test_unet.py::test_compile_unet_cpu
17.20s call     shark-test-suite-models/sdxl/test_clip.py::test_compile_clip_cpu

https://github.com/iree-org/iree/actions/runs/10498668335/job/29084321533#step:7:126

😬

might be an improvement over the w7900 if we at least have enough CPU cores / runners to run jobs in parallel

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@saienduri saienduri Aug 21, 2024

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Yeah mi250 is a bit slower than w7900. Not sure how the mi300 fares, but it was initially why I picked w7900. Specifically the w7900 has an AMD Ryzen Threadripper PRO 7975WX 32-Cores while the mi 250 has an AMD EPYC 7713 64-Core Processor. The mi300 has an AMD EPYC 9454 48-Core Processor, so I don't think that will be any better. We should get another CI machine up with just the threadripper CPU in the lab :)

backend: cpu
runs-on: nodai-amdgpu-w7900-x86-64
runs-on: persistent-cache
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# AMD GPU
- name: amdgpu_rocm_mi250_gfx90a
Expand Down
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