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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. ``` 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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| .. | ||
| github | ||
| requirements | ||
| __init__.py | ||
| amd_hipify.py | ||
| build.py | ||
| compile_triton.py | ||
| coverage.py | ||
| gen_def.py | ||
| get_docker_image.py | ||
| logger.py | ||
| op_registration_utils.py | ||
| op_registration_validator.py | ||
| patch_manylinux.py | ||
| policheck_exclusions.xml | ||
| reduce_op_kernels.py | ||
| replace_urls_in_deps.py | ||
| set-trigger-rules.py | ||
| update_tsaoptions.py | ||
| upload_python_package_to_azure_storage.py | ||