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* Enabling ROCm CI on MI250 machines: - correct build target - correct queue Signed-off-by: Alexei V. Ivanov <alexei.ivanov@amd.com> --------- Signed-off-by: Alexei V. Ivanov <alexei.ivanov@amd.com>
* Optimization for quantized gemm skinny sizes * lint fix * Add support for bf16/fp16 * code cleanup * code cleanup * lint fix2 * cleanup * Moved the logic into tuned gemm to preserve API compatibility --------- Co-authored-by: Gregory Shtrasberg <156009573+gshtras@users.noreply.github.com> Co-authored-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>
* Removing gfx940 and gfx941 targets. These have been deprecated in favor of gfx942 for MI300X Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com> * Remove from custom kernels as well --------- Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>
Signed-off-by: Divakar Verma <divakar.verma@amd.com>
* Advance torch commit to be past pytorch/pytorch#144942 to fix tunable ops * Make sure to use the submodule commit compatible with the main aiter commit
Signed-off-by: Sage Moore <sage@neuralmagic.com>
Upstream merge 25 02 24
* Using aiter branch that can be built into a whl with PREBUILD_KERNELS=1 * Using fail fast on aiter build to see compilation errors in the log since it fails silently * Check for build success without installing whl
* Using proposed fix from ROCm/aiter#115 * Build fix
* tuning adjustment for quantized skinny gemm. * lint fix
)" This reverts commit 8294773.
Upstream merge 25 03 03
Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>
Upstream merge 2025 06 23
Upstream merge 2025 06 25
Upstream merge 2025 06 30
* Updated README.md for June 24 Docker release * Added additional throughput results * Fixed some throughput results
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Please direct your PRs to the upstream vllm (https://github.com/vllm-project/vllm.git)
Accepting PRs into the ROCm fork (https://github.com/ROCm/vllm) will require a clear previously communicated exception
Summary:
Support full fp8 MFMA with wrap level dynamic query quantization to improve fp8 performance on MI308, which can also benefits other MI300x accelerator or latest hardware.