[AMD] Add kimi mi35x nightly test, folder organization and several stability fixes (#17895)
This commit is contained in:
@@ -34,6 +34,7 @@ on:
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- 'nightly-8-gpu-kimi-k2'
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- 'nightly-8-gpu-kimi-k2'
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# MI35x jobs
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# MI35x jobs
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- 'nightly-test-1-gpu-mi35x'
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- 'nightly-test-1-gpu-mi35x'
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- 'nightly-8-gpu-mi35x-kimi-k2'
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- 'nightly-accuracy-8-gpu-mi35x'
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- 'nightly-accuracy-8-gpu-mi35x'
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- 'nightly-8-gpu-mi35x-grok1-int4'
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- 'nightly-8-gpu-mi35x-grok1-int4'
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- 'nightly-8-gpu-mi35x-grok2'
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- 'nightly-8-gpu-mi35x-grok2'
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@@ -582,13 +583,13 @@ jobs:
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bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
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bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
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- name: Accuracy Test MI35x (8-GPU Grok1-INT4)
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- name: Accuracy Test MI35x (8-GPU Grok1-INT4)
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timeout-minutes: 60
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timeout-minutes: 90
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run: |
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run: |
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> github_summary.md # Clear summary file
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> github_summary.md # Clear summary file
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bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
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bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
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-e RCCL_MSCCL_ENABLE=0 \
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-e RCCL_MSCCL_ENABLE=0 \
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-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
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-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
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python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-mi35x-grok1-int4 --nightly --timeout-per-file 3600 || TEST_EXIT_CODE=$?
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python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-mi35x-grok1-int4 --nightly --timeout-per-file 5400 || TEST_EXIT_CODE=$?
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echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
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echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
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exit ${TEST_EXIT_CODE:-0}
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exit ${TEST_EXIT_CODE:-0}
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@@ -793,6 +794,39 @@ jobs:
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echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
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echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
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exit ${TEST_EXIT_CODE:-0}
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exit ${TEST_EXIT_CODE:-0}
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# MI35x 8-GPU Kimi-K2 (Accuracy)
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nightly-8-gpu-mi35x-kimi-k2:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-8-gpu-mi35x-kimi-k2')
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runs-on: linux-mi35x-gpu-8
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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with:
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ref: ${{ inputs.ref || github.ref }}
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- name: Setup docker
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run: |
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touch github_summary.md
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bash scripts/ci/amd/amd_ci_start_container.sh
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env:
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GITHUB_WORKSPACE: ${{ github.workspace }}
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- name: Install dependencies
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run: |
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bash scripts/ci/amd/amd_ci_install_dependency.sh
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# Install tabulate for run_suite.py (missing in MI35x container)
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bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
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- name: Accuracy Test MI35x (8-GPU Kimi-K2)
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timeout-minutes: 180
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run: |
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> github_summary.md # Clear summary file
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bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
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-e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
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python3 run_suite.py --hw amd --suite nightly-amd-accuracy-8-gpu-mi35x-kimi-k2 --nightly --timeout-per-file 7200 || TEST_EXIT_CODE=$?
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echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
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exit ${TEST_EXIT_CODE:-0}
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# MI35x 8-GPU DeepSeek-V3.2 Performance Test (MTP)
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# MI35x 8-GPU DeepSeek-V3.2 Performance Test (MTP)
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nightly-perf-8-gpu-mi35x-deepseek-v32-mtp:
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nightly-perf-8-gpu-mi35x-deepseek-v32-mtp:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-perf-8-gpu-mi35x-deepseek-v32-mtp')
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (inputs.job_filter == '' || inputs.job_filter == 'all' || inputs.job_filter == 'nightly-perf-8-gpu-mi35x-deepseek-v32-mtp')
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@@ -834,10 +868,10 @@ jobs:
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# MI30x Accuracy Tests
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# MI30x Accuracy Tests
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- nightly-accuracy-2-gpu
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- nightly-accuracy-2-gpu
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- nightly-accuracy-2-gpu-vlm
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- nightly-accuracy-2-gpu-vlm
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# MI30x Performance Tests
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- nightly-perf-2-gpu-text
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- nightly-perf-2-gpu-vlm
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- nightly-accuracy-8-gpu
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- nightly-accuracy-8-gpu
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# MI30x Performance Tests - excluded from check (perf failures don't block CI)
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# - nightly-perf-2-gpu-text
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# - nightly-perf-2-gpu-vlm
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# MI30x Combined Accuracy + Performance Tests
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# MI30x Combined Accuracy + Performance Tests
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- nightly-8-gpu-grok1-int4
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- nightly-8-gpu-grok1-int4
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- nightly-8-gpu-grok2
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- nightly-8-gpu-grok2
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@@ -853,6 +887,7 @@ jobs:
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- nightly-8-gpu-mi35x-deepseek-r1-mxfp4
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- nightly-8-gpu-mi35x-deepseek-r1-mxfp4
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- nightly-accuracy-8-gpu-mi35x-deepseek-v32
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- nightly-accuracy-8-gpu-mi35x-deepseek-v32
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- nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp
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- nightly-accuracy-8-gpu-mi35x-deepseek-v32-mtp
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- nightly-8-gpu-mi35x-kimi-k2
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# MI35x perf jobs excluded from check - perf failures don't block CI
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# MI35x perf jobs excluded from check - perf failures don't block CI
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# - nightly-perf-8-gpu-mi35x-deepseek-v32-basic
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# - nightly-perf-8-gpu-mi35x-deepseek-v32-basic
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# - nightly-perf-8-gpu-mi35x-deepseek-v32-mtp
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# - nightly-perf-8-gpu-mi35x-deepseek-v32-mtp
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@@ -94,6 +94,7 @@ class NightlyBenchmarkRunner:
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json_output_file: str,
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json_output_file: str,
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extra_args: Optional[List[str]] = None,
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extra_args: Optional[List[str]] = None,
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server_args: Optional[List[str]] = None,
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server_args: Optional[List[str]] = None,
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enable_profile: bool = True,
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) -> List[str]:
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) -> List[str]:
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"""Build the benchmark command with all required arguments.
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"""Build the benchmark command with all required arguments.
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@@ -106,6 +107,7 @@ class NightlyBenchmarkRunner:
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json_output_file: Path to JSON output file
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json_output_file: Path to JSON output file
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extra_args: Optional extra arguments to append to command
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extra_args: Optional extra arguments to append to command
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server_args: Optional server launch arguments to record in metrics
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server_args: Optional server launch arguments to record in metrics
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enable_profile: Whether to enable profiling (default True for NVIDIA)
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Returns:
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Returns:
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List of command arguments ready for subprocess.run()
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List of command arguments ready for subprocess.run()
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@@ -125,15 +127,22 @@ class NightlyBenchmarkRunner:
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"--output-len",
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"--output-len",
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*[str(x) for x in output_lens],
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*[str(x) for x in output_lens],
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"--show-report",
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"--show-report",
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"--profile",
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"--profile-by-stage",
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"--profile-output-dir",
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profile_path_prefix,
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f"--pydantic-result-filename={json_output_file}",
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f"--pydantic-result-filename={json_output_file}",
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"--no-append-to-github-summary",
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"--no-append-to-github-summary",
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"--trust-remote-code",
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"--trust-remote-code",
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]
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]
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# Add profiling flags only if enabled (disabled for AMD tests)
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if enable_profile and profile_path_prefix:
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command.extend(
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[
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"--profile",
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"--profile-by-stage",
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"--profile-output-dir",
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profile_path_prefix,
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]
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)
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if extra_args:
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if extra_args:
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command.extend(extra_args)
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command.extend(extra_args)
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@@ -218,6 +227,7 @@ class NightlyBenchmarkRunner:
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other_args: Optional[List[str]] = None,
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other_args: Optional[List[str]] = None,
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variant: str = "",
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variant: str = "",
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extra_bench_args: Optional[List[str]] = None,
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extra_bench_args: Optional[List[str]] = None,
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enable_profile: bool = True,
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) -> Tuple[List[BenchmarkResult], bool, Optional[float]]:
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) -> Tuple[List[BenchmarkResult], bool, Optional[float]]:
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"""Run a complete benchmark for a single model with server management.
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"""Run a complete benchmark for a single model with server management.
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@@ -236,6 +246,7 @@ class NightlyBenchmarkRunner:
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other_args: Arguments to pass to server launch
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other_args: Arguments to pass to server launch
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variant: Optional variant suffix (e.g., "basic", "mtp")
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variant: Optional variant suffix (e.g., "basic", "mtp")
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extra_bench_args: Extra arguments for the benchmark command
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extra_bench_args: Extra arguments for the benchmark command
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enable_profile: Whether to enable profiling (default True for NVIDIA)
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Returns:
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Returns:
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Tuple of (list of BenchmarkResult objects, success_bool, avg_spec_accept_length or None)
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Tuple of (list of BenchmarkResult objects, success_bool, avg_spec_accept_length or None)
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@@ -273,6 +284,7 @@ class NightlyBenchmarkRunner:
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json_output_file,
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json_output_file,
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extra_args=bench_args,
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extra_args=bench_args,
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server_args=other_args,
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server_args=other_args,
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enable_profile=enable_profile,
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)
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)
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result, cmd_success = self.run_benchmark_command(command, model_description)
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result, cmd_success = self.run_benchmark_command(command, model_description)
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@@ -75,7 +75,9 @@ MI35X_GPT_OSS_MODELS = [
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"triton",
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"triton",
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"--trust-remote-code",
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"--trust-remote-code",
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],
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],
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env_vars={"SGLANG_USE_AITER": "1"},
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env_vars={
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"SGLANG_USE_AITER": "0"
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}, # Disabled due to SWA eviction bug with aiter (#17220)
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),
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),
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ModelConfig(
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ModelConfig(
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model_path="openai/gpt-oss-120b",
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model_path="openai/gpt-oss-120b",
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@@ -93,7 +95,9 @@ MI35X_GPT_OSS_MODELS = [
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"triton",
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"triton",
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"--trust-remote-code",
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"--trust-remote-code",
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],
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],
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env_vars={"SGLANG_USE_AITER": "1"},
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env_vars={
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"SGLANG_USE_AITER": "0"
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}, # Disabled due to SWA eviction bug with aiter (#17220)
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),
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),
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]
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]
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@@ -23,9 +23,9 @@ from sglang.test.test_utils import (
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)
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)
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from sglang.utils import download_and_cache_file, read_jsonl
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from sglang.utils import download_and_cache_file, read_jsonl
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# Register for AMD CI - GROK1-INT4 accuracy tests on MI35x (~25 min)
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# Register for AMD CI - GROK1-INT4 accuracy tests on MI35x (~70 min)
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register_amd_ci(
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register_amd_ci(
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est_time=1500, suite="nightly-amd-accuracy-8-gpu-mi35x-grok1-int4", nightly=True
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est_time=4200, suite="nightly-amd-accuracy-8-gpu-mi35x-grok1-int4", nightly=True
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)
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)
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INVALID = -9999999
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INVALID = -9999999
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@@ -105,7 +105,7 @@ class TestGrok2EvalMI35x(unittest.TestCase):
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def setUpClass(cls):
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def setUpClass(cls):
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.num_questions = int(os.environ.get("GSM8K_NUM_QUESTIONS", "200"))
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cls.num_questions = int(os.environ.get("GSM8K_NUM_QUESTIONS", "200"))
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cls.accuracy_threshold = 0.915
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cls.accuracy_threshold = 0.90
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def test_grok2_accuracy(self):
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def test_grok2_accuracy(self):
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"""Test Grok-2 with GSM8K completion benchmark."""
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"""Test Grok-2 with GSM8K completion benchmark."""
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@@ -0,0 +1,105 @@
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"""MI35x Kimi-K2 GSM8K Completion Evaluation Test (8-GPU)
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Tests moonshotai/Kimi-K2-Instruct-0905 with GSM8K few-shot benchmark on MI35x.
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Registry: nightly-amd-accuracy-8-gpu-mi35x-kimi-k2 suite
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"""
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import os
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import unittest
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from types import SimpleNamespace
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import requests
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from sglang.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_amd_ci
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from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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from sglang.test.test_utils import (
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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is_in_ci,
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popen_launch_server,
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write_github_step_summary,
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)
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# Register for AMD CI - Kimi K2 accuracy test on MI35x (~60 min)
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register_amd_ci(
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est_time=3600, suite="nightly-amd-accuracy-8-gpu-mi35x-kimi-k2", nightly=True
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)
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KIMI_K2_MODEL_PATH = "moonshotai/Kimi-K2-Instruct-0905"
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SERVER_LAUNCH_TIMEOUT = 3600
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ACCURACY_THRESHOLD = 0.94
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class TestKimiK2EvalMI35x(CustomTestCase):
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"""Kimi-K2 GSM8K Completion Evaluation Test for AMD MI35x."""
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@classmethod
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def setUpClass(cls):
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cls.base_url = DEFAULT_URL_FOR_TEST
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|
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def test_kimi_k2_gsm8k_accuracy(self):
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"""Test Kimi-K2 with GSM8K few-shot completion benchmark."""
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other_args = [
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"--tp",
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"8",
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"--decode-attention-backend",
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"triton",
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"--prefill-attention-backend",
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"aiter",
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"--trust-remote-code",
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"--model-loader-extra-config",
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'{"enable_multithread_load": true}',
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"--watchdog-timeout",
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"1200",
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]
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env = os.environ.copy()
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env["SGLANG_USE_AITER"] = "1"
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env["SGLANG_ROCM_FUSED_DECODE_MLA"] = "0"
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|
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process = popen_launch_server(
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KIMI_K2_MODEL_PATH,
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self.base_url,
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timeout=SERVER_LAUNCH_TIMEOUT,
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other_args=other_args,
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env=env,
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)
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try:
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requests.get(self.base_url + "/flush_cache")
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args = SimpleNamespace(
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num_shots=8,
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data_path=None,
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num_questions=1319,
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parallel=1319,
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max_new_tokens=512,
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host="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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acc = metrics["accuracy"]
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|
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passed = acc >= ACCURACY_THRESHOLD
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status = "✅ PASS" if passed else "❌ FAIL"
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print(f" accuracy={acc:.3f} threshold={ACCURACY_THRESHOLD} {status}")
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|
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if is_in_ci():
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|
summary = "### Kimi-K2 Model (MI35x)\n\n"
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|
summary += "| Model | TP | Accuracy | Threshold | Status |\n"
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|
summary += "| ----- | -- | -------- | --------- | ------ |\n"
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summary += f"| {KIMI_K2_MODEL_PATH} | 8 | {acc:.3f} | {ACCURACY_THRESHOLD} | {status} |\n"
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|
write_github_step_summary(summary)
|
||||||
|
|
||||||
|
self.assertGreaterEqual(
|
||||||
|
acc,
|
||||||
|
ACCURACY_THRESHOLD,
|
||||||
|
f"Kimi-K2 accuracy {acc:.3f} below threshold {ACCURACY_THRESHOLD}",
|
||||||
|
)
|
||||||
|
finally:
|
||||||
|
kill_process_tree(process.pid)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
unittest.main()
|
||||||
+1
@@ -129,6 +129,7 @@ class TestNightlyDeepseekV31Performance(unittest.TestCase):
|
|||||||
other_args=variant_config["other_args"],
|
other_args=variant_config["other_args"],
|
||||||
variant=variant_config["name"],
|
variant=variant_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
+1
@@ -115,6 +115,7 @@ class TestNightlyDeepseekV32BasicPerformance(unittest.TestCase):
|
|||||||
other_args=self.variant_config["other_args"],
|
other_args=self.variant_config["other_args"],
|
||||||
variant=self.variant_config["name"],
|
variant=self.variant_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
+1
@@ -124,6 +124,7 @@ class TestNightlyDeepseekV32MTPPerformance(unittest.TestCase):
|
|||||||
other_args=self.variant_config["other_args"],
|
other_args=self.variant_config["other_args"],
|
||||||
variant=self.variant_config["name"],
|
variant=self.variant_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
+1
@@ -119,6 +119,7 @@ class TestNightlyDeepseekV3Performance(unittest.TestCase):
|
|||||||
other_args=variant_config["other_args"],
|
other_args=variant_config["other_args"],
|
||||||
variant=variant_config["name"],
|
variant=variant_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
+1
@@ -109,6 +109,7 @@ class TestNightlyGrok1FP8Performance(unittest.TestCase):
|
|||||||
other_args=self.model_config["other_args"],
|
other_args=self.model_config["other_args"],
|
||||||
variant=self.model_config["name"],
|
variant=self.model_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
+1
@@ -119,6 +119,7 @@ class TestNightlyGrok1INT4Performance(unittest.TestCase):
|
|||||||
other_args=self.model_config["other_args"],
|
other_args=self.model_config["other_args"],
|
||||||
variant=self.model_config["name"],
|
variant=self.model_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
+1
@@ -121,6 +121,7 @@ class TestNightlyGrok2Performance(unittest.TestCase):
|
|||||||
other_args=self.model_config["other_args"],
|
other_args=self.model_config["other_args"],
|
||||||
variant=self.model_config["name"],
|
variant=self.model_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
+1
@@ -110,6 +110,7 @@ class TestNightlyTextModelsPerfAMD(unittest.TestCase):
|
|||||||
input_lens=self.input_lens,
|
input_lens=self.input_lens,
|
||||||
output_lens=self.output_lens,
|
output_lens=self.output_lens,
|
||||||
other_args=other_args,
|
other_args=other_args,
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
+1
@@ -123,6 +123,7 @@ class TestNightlyVLMsPerfAMD(unittest.TestCase):
|
|||||||
output_lens=self.output_lens,
|
output_lens=self.output_lens,
|
||||||
other_args=other_args,
|
other_args=other_args,
|
||||||
extra_bench_args=extra_bench_args,
|
extra_bench_args=extra_bench_args,
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
@@ -152,6 +152,7 @@ class TestDeepseekR1MXFP4PerfMI35x(unittest.TestCase):
|
|||||||
other_args=variant_config["other_args"],
|
other_args=variant_config["other_args"],
|
||||||
variant=variant_config["name"],
|
variant=variant_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
|
|||||||
@@ -114,6 +114,7 @@ class TestNightlyDeepseekV32BasicPerformance(unittest.TestCase):
|
|||||||
other_args=self.variant_config["other_args"],
|
other_args=self.variant_config["other_args"],
|
||||||
variant=self.variant_config["name"],
|
variant=self.variant_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
|
|||||||
@@ -96,6 +96,7 @@ def _run_benchmark_with_timeout(
|
|||||||
profile_path_prefix,
|
profile_path_prefix,
|
||||||
json_output_file,
|
json_output_file,
|
||||||
extra_args=bench_args,
|
extra_args=bench_args,
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
_, cmd_success = runner.run_benchmark_command(command, model_description)
|
_, cmd_success = runner.run_benchmark_command(command, model_description)
|
||||||
if not cmd_success:
|
if not cmd_success:
|
||||||
|
|||||||
@@ -112,6 +112,7 @@ class TestGrok1INT4PerfMI35x(unittest.TestCase):
|
|||||||
other_args=self.model_config["other_args"],
|
other_args=self.model_config["other_args"],
|
||||||
variant=self.model_config["name"],
|
variant=self.model_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
|
|||||||
@@ -112,6 +112,7 @@ class TestGrok2PerfMI35x(unittest.TestCase):
|
|||||||
other_args=self.model_config["other_args"],
|
other_args=self.model_config["other_args"],
|
||||||
variant=self.model_config["name"],
|
variant=self.model_config["name"],
|
||||||
extra_bench_args=["--trust-remote-code"],
|
extra_bench_args=["--trust-remote-code"],
|
||||||
|
enable_profile=False, # Disable profiling for AMD tests
|
||||||
)
|
)
|
||||||
results = result_tuple[0]
|
results = result_tuple[0]
|
||||||
success = result_tuple[1]
|
success = result_tuple[1]
|
||||||
|
|||||||
Reference in New Issue
Block a user