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migraphx: expose migraphx_bf16_enable, fp8_enable, int8_enable as direct config parameters - #2

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migraphx: expose migraphx_bf16_enable, fp8_enable, int8_enable as direct config parameters#2
zhihuidu-amd wants to merge 30 commits into
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zhihuidu-amd:migraphx-expose-bf16-fp8-int8-keys

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Problem

The MIGraphX execution provider in ORT 1.17+ accepts migraphx_bf16_enable,
migraphx_fp8_enable, and migraphx_int8_enable as ProviderOptions keys.
However, the Triton ONNX backend's MIGraphX parameter allowlist did not include
these keys. Passing them in config.pbtxt produced:

The existing precision_mode parameter handles these as a mutual-exclusion
enum ("FP16", "BF16", "FP8", "INT8"), but direct boolean keys allow
finer-grained control — for example, enabling BF16 compute with FP32 I/O
(migraphx_bf16_enable: true) without routing through the enum.

This is particularly relevant on CDNA3 / MI300X with ROCm ≥ 6.4.2 where
BF16 has the same matrix-engine throughput as FP16 but provides FP32 dynamic
range, avoiding overflow on large logits in ranking/recommendation models.

Also adds migraphx_mem_limit (already in ORT) to allow capping the GPU
memory arena from config.pbtxt.

Changes

src/onnxruntime.cc: add four else if branches after migraphx_exhaustive_tune:

  • migraphx_bf16_enable — parsed as bool via ParseBoolValue
  • migraphx_fp8_enable — parsed as bool via ParseBoolValue
  • migraphx_int8_enable — parsed as bool via ParseBoolValue
  • migraphx_mem_limit — parsed as unsigned long long

All follow the identical pattern established by migraphx_exhaustive_tune.

Example config.pbtxt usage

gpu_execution_accelerator [{
  name: "migraphx"
  parameters { key: "migraphx_bf16_enable"      value: "1"   }
  parameters { key: "migraphx_max_dynamic_batch" value: "256" }
}]

Tested on

MI300X (gfx942), ROCm 7.x, ORT 1.23.2, Triton Inference Server 25.x

linsun12 and others added 30 commits February 17, 2026 19:16
[AIMIGRAPHX-885] Add changes to use triton stream for sync
…eters

ORT's MIGraphX EP already parses migraphx_bf16_enable, migraphx_fp8_enable,
and migraphx_int8_enable as ProviderOptions keys (added in ORT 1.17+). The
Triton ONNX backend allowlist did not expose these keys, causing
TRITONSERVER_ERROR_INVALID_ARG when users tried to set them in config.pbtxt.

The existing precision_mode parameter exposes FP16/BF16/FP8/INT8 as a mutual
exclusion enum. The new direct boolean keys allow finer-grained control:
- migraphx_bf16_enable: enable BF16 compute (same throughput as FP16 on
  CDNA3/MI300X but wider dynamic range; avoids overflow on large logits)
- migraphx_fp8_enable: enable FP8 for additional throughput on ROCm >= 6.4
- migraphx_int8_enable: enable INT8 quantised inference with calibration table

Also adds migraphx_mem_limit to allow capping the GPU memory arena.

Tested on: MI300X, ROCm 7.x, ORT 1.23.2 via rocm/vllm:latest

Example usage in config.pbtxt:
  gpu_execution_accelerator [{
    name: "migraphx"
    parameters { key: "migraphx_bf16_enable"       value: "1" }
    parameters { key: "migraphx_max_dynamic_batch"  value: "256" }
  }]
- Reformat --enable-rocm argument list to satisfy black (88-char line limit)
- Replace ## TEMPORARY with # TEMPORARY at lines 321 and 610 to fix E266
  (block comment should start with a single #)
OPT-1: Skip redundant hipStreamSynchronize when MIGraphX user_compute_stream
is active. With user_compute_stream ORT enqueues on the same HIP stream as
Triton, so stream ordering already guarantees input readiness — the CPU sync
round-trip is eliminated (expected 3-8% gain at small BS).

OPT-3: Auto-default MIGraphX model cache dir to /tmp/migraphx_cache_<name>
when migraphx_model_cache_dir is not set explicitly. Respects the existing
ORT_MIGRAPHX_MODEL_CACHE_PATH env var. Eliminates 2-5s cold-compile on every
Triton restart. User can still override via config.pbtxt.

OPT-4: Expose migraphx_tuning_cache_path parameter. Pairs with
migraphx_exhaustive_tune=true to persist kernel selections to disk so the
expensive tuning pass only runs on first boot. Expected 5-20% runtime gain
at large BS once tuning cache is warm.

OPT-5: Query output buffer memory type from majority of requests in the batch
rather than only requests[0]. A single CPU-preferring request (e.g. health
probe) no longer forces all outputs to CPU for the whole batch, avoiding
unnecessary D2H copies for GPU requests.
…builds

When building with only TRITON_ENABLE_ROCM=ON (no TRITON_ENABLE_GPU), the
hipified BackendModelInstance SDK header exposes RocmStream() instead of
CudaStream(). Add a private CudaStream() -> RocmStream() alias in
ModelInstanceState so existing call sites compile unchanged.
…tch in ROCM-only builds

In a ROCM-only build (TRITON_ENABLE_ROCM=1, no TRITON_ENABLE_GPU), cudaStream_t
is not defined by the HIP headers, causing a type mismatch when LoadModel()
receives a hipStream_t from the CudaStream() shim (OPT-6).

Add a TritonStream_t typedef that resolves to hipStream_t under ROCM and
cudaStream_t otherwise. Apply it to:
  - LoadModel() declaration and definition
  - CudaStream() ROCm compat shim return type

This makes the entire stream-passing call chain type-correct without
requiring TRITON_ENABLE_GPU or the CUDA runtime headers.
…te ctor

LoadModel() is a ModelState method and cannot access ModelInstanceState
member variables. Move the OPT-1 flag assignment out of LoadModel()
and into ModelInstanceState::ModelInstanceState() immediately after
the LoadModel() call, keying on CudaStream() != nullptr.
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3 participants