Drop the flydsl microbenchmark from this PR

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Kimi Perf Downstream on: pull_request

Kimi-K2.5 perf (${{ matrix.backend }})

vLLM Benchmark on: pull_request

check-signal

Build Aiter wheel

vLLM Benchmark

Atom Test on: pull_request

check-signal

load-atom-models

Accuracy (${{ matrix.display_name }}, ${{ matrix.runner }})

Checks on: pull_request 2

Check Repository Dependency

Check Code Style with Black

Check Code Style with Ruff

OPUS Test on: pull_request 3

check-signal

OPUS Tests (MI35X)

OPUS Tests (MI300X)

Kimi Downstream Test on: pull_request

Kimi-K2.5 (${{ matrix.backend }})

Sglang Downstream Test on: pull_request

check-signal

select-sglang-tests

Sglang ${{ matrix.model }} ${{ matrix.test_type }} (8 GPU)

Aiter Test on: pull_request 26

check-signal

build_aiter_wheels (3.10, rocm/pytorch:rocm7.2.4_ubuntu22.04_py3.10_pytorch_release_2.10.0, false)

build_aiter_wheels (3.12, rocm/pytorch:latest, true)

prepare_triton_wheel / prepare

Upload wheels and manifest to S3

split_aiter_tests

Multi-GPU Tests (8 GPU)

Standard Tests (1 GPU) (linux-aiter-mi35x-1, MI35X, 8, 0)

Standard Tests (1 GPU) (linux-aiter-mi35x-1, MI35X, 8, 1)

Standard Tests (1 GPU) (linux-aiter-mi35x-1, MI35X, 8, 2)

Standard Tests (1 GPU) (linux-aiter-mi35x-1, MI35X, 8, 3)

Standard Tests (1 GPU) (linux-aiter-mi35x-1, MI35X, 8, 4)

Standard Tests (1 GPU) (linux-aiter-mi35x-1, MI35X, 8, 5)

Standard Tests (1 GPU) (linux-aiter-mi35x-1, MI35X, 8, 6)

Standard Tests (1 GPU) (linux-aiter-mi35x-1, MI35X, 8, 7)

Standard Tests (1 GPU) (aiter-1gpu-runner, MI300X, 8, 0)

Standard Tests (1 GPU) (aiter-1gpu-runner, MI300X, 8, 1)

Standard Tests (1 GPU) (aiter-1gpu-runner, MI300X, 8, 2)

Standard Tests (1 GPU) (aiter-1gpu-runner, MI300X, 8, 3)

Standard Tests (1 GPU) (aiter-1gpu-runner, MI300X, 8, 4)

Standard Tests (1 GPU) (aiter-1gpu-runner, MI300X, 8, 5)

Standard Tests (1 GPU) (aiter-1gpu-runner, MI300X, 8, 6)

Standard Tests (1 GPU) (aiter-1gpu-runner, MI300X, 8, 7)

Standard Test Results

Tuned Op Bench

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