Move Linux GPU CI pipeline to A10 - #23235
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Jian Chen (jchen351)
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/azp run Windows ARM64 QNN CI Pipeline |
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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
Tianlei Wu (tianleiwu)
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Jan 4, 2025
snnn (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 ```
Tarek Ziade (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 ```
Guenther Schmuelling (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 ```
Ashrit Shetty (ashrit-ms)
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Mar 17, 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.