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Move Linux GPU CI pipeline to A10 #23235
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jchen351
previously approved these changes
Jan 2, 2025
/azp run Windows ARM64 QNN CI Pipeline |
Azure Pipelines successfully started running 1 pipeline(s). |
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Copilot reviewed 2 out of 3 changed files in this pull request and generated no comments.
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- tools/ci_build/github/linux/build_cuda_ci.sh: Language not supported
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tools/ci_build/github/azure-pipelines/linux-gpu-ci-pipeline.yml:140
- [nitpick] The pool name 'Onnxruntime-Linux-A10-24G' uses a different capitalization pattern compared to the previous 'onnxruntime-Linux-GPU-T4'. Ensure consistent naming conventions.
pool: Onnxruntime-Linux-A10-24G
tianleiwu
approved these changes
Jan 4, 2025
snnn
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Jan 8, 2025
Move Linux GPU CI pipeline to A10 machines which are more advanced. Retire onnxruntime-Linux-GPU-T4 machine pool. Disable run_lean_attention test because the new machines do not have enough shared memory. ``` skip loading trt attention kernel fmha_mhca_fp16_128_256_sm86_kernel because no enough shared memory [E:onnxruntime:, sequential_executor.cc:505 ExecuteKernel] Non-zero status code returned while running MultiHeadAttention node. Name:'MultiHeadAttention_0' Status Message: CUDA error cudaErrorInvalidValue:invalid argument ```
tarekziade
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Jan 10, 2025
Move Linux GPU CI pipeline to A10 machines which are more advanced. Retire onnxruntime-Linux-GPU-T4 machine pool. Disable run_lean_attention test because the new machines do not have enough shared memory. ``` skip loading trt attention kernel fmha_mhca_fp16_128_256_sm86_kernel because no enough shared memory [E:onnxruntime:, sequential_executor.cc:505 ExecuteKernel] Non-zero status code returned while running MultiHeadAttention node. Name:'MultiHeadAttention_0' Status Message: CUDA error cudaErrorInvalidValue:invalid argument ```
guschmue
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Jan 12, 2025
Move Linux GPU CI pipeline to A10 machines which are more advanced. Retire onnxruntime-Linux-GPU-T4 machine pool. Disable run_lean_attention test because the new machines do not have enough shared memory. ``` skip loading trt attention kernel fmha_mhca_fp16_128_256_sm86_kernel because no enough shared memory [E:onnxruntime:, sequential_executor.cc:505 ExecuteKernel] Non-zero status code returned while running MultiHeadAttention node. Name:'MultiHeadAttention_0' Status Message: CUDA error cudaErrorInvalidValue:invalid argument ```
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Move Linux GPU CI pipeline to A10 machines which are more advanced.
Retire onnxruntime-Linux-GPU-T4 machine pool.
Disable run_lean_attention test because the new machines do not have enough shared memory.