[AMD] Add 8-GPU MX35X test running DSR1-MXFP4 model for AMD CI (#13602)
This commit is contained in:
70
.github/workflows/pr-test-amd.yml
vendored
70
.github/workflows/pr-test-amd.yml
vendored
@@ -543,6 +543,45 @@ jobs:
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run: |
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bash scripts/ci/amd_ci_exec.sh python3 run_suite.py --suite per-commit-amd --auto-partition-id ${{ matrix.part }} --auto-partition-size 12
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unit-test-backend-1-gpu-amd-mi35x:
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needs: [check-changes, stage-a-test-1-amd]
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if: |
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always() &&
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(
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(inputs.target_stage == 'unit-test-backend-1-gpu-amd-mi35x') ||
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(
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!inputs.target_stage &&
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(!failure() && !cancelled()) &&
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((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
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)
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)
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strategy:
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fail-fast: false
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matrix:
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runner: [linux-mi35x-gpu-1]
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runs-on: ${{matrix.runner}}
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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.pr_head_sha || inputs.ref || github.sha }}
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- name: Ensure VRAM is clear
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run: bash scripts/ensure_vram_clear.sh rocm
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- name: Start CI container
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run: bash scripts/ci/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: bash scripts/ci/amd_ci_install_dependency.sh
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- name: Run test
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timeout-minutes: 15
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run: |
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bash scripts/ci/amd_ci_exec.sh python3 run_suite.py --suite per-commit-amd-mi35x
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unit-test-backend-2-gpu-amd:
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needs: [check-changes, stage-a-test-1-amd]
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if: |
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@@ -631,6 +670,35 @@ jobs:
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run: |
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bash scripts/ci/amd_ci_exec.sh python3 run_suite.py --suite per-commit-8-gpu-amd --auto-partition-id ${{ matrix.part }} --auto-partition-size 2 --timeout-per-file 3600
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unit-test-backend-8-gpu-amd-mi35x:
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needs: [check-changes, unit-test-backend-2-gpu-amd]
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if: always() && !failure() && !cancelled() &&
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((needs.check-changes.outputs.main_package == 'true') || (needs.check-changes.outputs.sgl_kernel == 'true'))
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strategy:
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fail-fast: false
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matrix:
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runner: [linux-mi35x-gpu-8]
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runs-on: ${{matrix.runner}}
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Ensure VRAM is clear
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run: bash scripts/ensure_vram_clear.sh rocm
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- name: Start CI container
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run: bash scripts/ci/amd_ci_start_container.sh
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env:
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GITHUB_WORKSPACE: ${{ github.workspace }}
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- name: Install dependencies
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run: bash scripts/ci/amd_ci_install_dependency.sh
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- name: Run test
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timeout-minutes: 30
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run: |
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bash scripts/ci/amd_ci_exec.sh python3 run_suite.py --suite per-commit-8-gpu-amd-mi35x --timeout-per-file 1800
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performance-test-1-gpu-part-1-amd:
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needs: [check-changes, stage-a-test-1-amd]
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if: |
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@@ -897,8 +965,10 @@ jobs:
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stage-b-test-small-1-gpu-amd,
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stage-b-test-large-2-gpu-amd,
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unit-test-backend-1-gpu-amd,
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unit-test-backend-1-gpu-amd-mi35x,
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unit-test-backend-2-gpu-amd,
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unit-test-backend-8-gpu-amd,
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unit-test-backend-8-gpu-amd-mi35x,
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performance-test-1-gpu-part-1-amd,
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performance-test-1-gpu-part-2-amd,
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performance-test-2-gpu-amd,
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@@ -60,9 +60,10 @@ if docker exec \
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"${ENV_ARGS[@]}" \
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ci_sglang "$@"; then
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exit 0
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else
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FIRST_EXIT_CODE=$?
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fi
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FIRST_EXIT_CODE=$?
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echo "First attempt failed with exit code $FIRST_EXIT_CODE"
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echo "Retrying with HF_HUB_OFFLINE=1 (offline mode)..."
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@@ -99,10 +99,11 @@ case "${GPU_ARCH}" in
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mi35x)
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echo "Runner uses ${GPU_ARCH}; will fetch mi35x image."
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docker exec ci_sglang rm -rf python/pyproject.toml && mv python/pyproject_other.toml python/pyproject.toml
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install_with_retry docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e "python[${EXTRAS}]" --no-deps # TODO: only for mi35x
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# Follow the same dependency installation flow as mi30x/mi300/mi325.
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install_with_retry docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e "python[${EXTRAS}]"
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# For lmms_evals evaluating MMMU
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docker exec -w / ci_sglang git clone --branch v0.4.1 --depth 1 https://github.com/EvolvingLMMs-Lab/lmms-eval.git
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install_with_retry docker exec -w /lmms-eval ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e . --no-deps
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install_with_retry docker exec -w /lmms-eval ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e .
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;;
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mi30x|mi300|mi325)
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echo "Runner uses ${GPU_ARCH}; will fetch mi30x image."
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@@ -157,6 +157,9 @@ suite_amd = {
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TestFile("test_deepseek_v3_basic.py", 275),
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TestFile("test_deepseek_v3_mtp.py", 275),
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],
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"per-commit-8-gpu-amd-mi35x": [
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TestFile("test_deepseek_r1_mxfp4_8gpu.py", 1800),
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],
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"nightly-amd": [
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TestFile("nightly/test_gsm8k_eval_amd.py"),
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],
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165
test/srt/test_deepseek_r1_mxfp4_8gpu.py
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165
test/srt/test_deepseek_r1_mxfp4_8gpu.py
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@@ -0,0 +1,165 @@
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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.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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from sglang.test.send_one import BenchArgs, send_one_prompt
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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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DEEPSEEK_R1_MODEL_PATH = "amd/DeepSeek-R1-MXFP4-Preview"
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SERVER_LAUNCH_TIMEOUT = 1000
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class TestDeepseekR1MXFP4(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEEPSEEK_R1_MODEL_PATH
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--tp",
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"8",
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"--chunked-prefill-size",
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"131072",
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"--model-loader-extra-config",
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'{"enable_multithread_load": true}',
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]
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=SERVER_LAUNCH_TIMEOUT,
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other_args=other_args,
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_a_gsm8k(
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self,
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): # Append an "a" to make this test run first (alphabetically) to warm up the server
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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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print(f"{metrics=}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_gsm8k (deepseek-r1-mxfp4)\n" f'{metrics["accuracy"]=:.3f}\n'
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)
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self.assertGreater(metrics["accuracy"], 0.94)
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def test_bs_1_speed(self):
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args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
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_, speed = send_one_prompt(args)
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print(f"{speed=:.2f}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_bs_1_speed (deepseek-r1-mxfp4)\n" f"{speed=:.2f} token/s\n"
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)
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self.assertGreater(speed, 75)
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class TestDeepseekR1MXFP4MTP(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEEPSEEK_R1_MODEL_PATH
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--tp",
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"8",
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"--chunked-prefill-size",
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"131072",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"3",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"4",
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"--model-loader-extra-config",
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'{"enable_multithread_load": true}',
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]
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=SERVER_LAUNCH_TIMEOUT,
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other_args=other_args,
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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if "SGLANG_ENABLE_SPEC_V2" in os.environ:
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del os.environ["SGLANG_ENABLE_SPEC_V2"]
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def test_a_gsm8k(
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self,
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): # Append an "a" to make this test run first (alphabetically) to warm up the server
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requests.get(self.base_url + "/flush_cache")
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args = SimpleNamespace(
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num_shots=5,
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data_path=None,
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num_questions=200,
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max_new_tokens=512,
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parallel=128,
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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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print(f"{metrics=}")
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server_info = requests.get(self.base_url + "/get_server_info")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
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]
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print(f"{avg_spec_accept_length=}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_gsm8k (deepseek-r1-mxfp4 mtp)\n"
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f'{metrics["accuracy"]=:.3f}\n'
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f"{avg_spec_accept_length=:.2f}\n"
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)
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self.assertGreater(metrics["accuracy"], 0.94)
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self.assertGreater(avg_spec_accept_length, 2.04)
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def test_bs_1_speed(self):
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args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
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acc_length, speed = send_one_prompt(args)
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print(f"{acc_length=:.2f} {speed=:.2f}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_bs_1_speed (deepseek-r1-mxfp4 mtp)\n"
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f"{acc_length=:.2f}\n"
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f"{speed=:.2f} token/s\n"
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)
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self.assertGreater(acc_length, 2.04)
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self.assertGreater(speed, 150)
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if __name__ == "__main__":
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unittest.main()
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