[CI] Add Basic Test for DeepSeek V3.2 (#11308)
This commit is contained in:
27
.github/workflows/pr-test.yml
vendored
27
.github/workflows/pr-test.yml
vendored
@@ -664,6 +664,33 @@ jobs:
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cd test/srt
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cd test/srt
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python3 run_suite.py --suite per-commit-8-gpu-deepep
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python3 run_suite.py --suite per-commit-8-gpu-deepep
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unit-test-backend-8-gpu-deepseek-v32:
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needs: [check-changes, unit-test-backend-2-gpu, sgl-kernel-build-wheels]
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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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runs-on: 8-gpu-h200
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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: Download artifacts
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if: needs.check-changes.outputs.sgl_kernel == 'true'
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uses: actions/download-artifact@v4
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with:
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path: sgl-kernel/dist/
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merge-multiple: true
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pattern: wheel-python3.10-cuda12.9
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- name: Install dependencies
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run: |
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CUSTOM_BUILD_SGL_KERNEL=${{needs.check-changes.outputs.sgl_kernel}} RUN_DEEPSEEK_V32=1 bash scripts/ci/ci_install_dependency.sh
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- name: Run test
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timeout-minutes: 20
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run: |
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cd test/srt
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python3 run_suite.py --suite per-commit-8-gpu-deepseek-v32
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unit-test-backend-4-gpu-b200:
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unit-test-backend-4-gpu-b200:
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needs: [check-changes, unit-test-backend-2-gpu, sgl-kernel-build-wheels]
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needs: [check-changes, unit-test-backend-2-gpu, sgl-kernel-build-wheels]
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if: always() && !failure() && !cancelled() &&
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if: always() && !failure() && !cancelled() &&
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@@ -3,6 +3,7 @@
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set -euxo pipefail
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set -euxo pipefail
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IS_BLACKWELL=${IS_BLACKWELL:-0}
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IS_BLACKWELL=${IS_BLACKWELL:-0}
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RUN_DEEPSEEK_V32=${RUN_DEEPSEEK_V32:-0}
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CU_VERSION="cu128"
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CU_VERSION="cu128"
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# Kill existing processes
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# Kill existing processes
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@@ -68,7 +69,31 @@ if [ "$IS_BLACKWELL" != "1" ]; then
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$PIP_CMD install -e lmms-eval/ $PIP_INSTALL_SUFFIX
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$PIP_CMD install -e lmms-eval/ $PIP_INSTALL_SUFFIX
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# Install xformers
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# Install xformers
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$PIP_CMD install xformers --index-url https://download.pytorch.org/whl/${CU_VERSION} --no-deps $PIP_INSTALL_SUFFIX --force-reinstall
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$PIP_CMD install xformers --index-url https://download.pytorch.org/whl/${CU_VERSION} --no-deps $PIP_INSTALL_SUFFIX
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fi
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# Install dependencies for deepseek-v3.2
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if [ "$RUN_DEEPSEEK_V32" = "1" ]; then
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# Install flashmla
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FLASHMLA_COMMIT="1408756a88e52a25196b759eaf8db89d2b51b5a1"
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FLASH_MLA_DISABLE_SM100="0"
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if [ "$IS_BLACKWELL" != "1" ]; then
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FLASH_MLA_DISABLE_SM100="1"
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fi
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git clone https://github.com/deepseek-ai/FlashMLA.git flash-mla
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cd flash-mla
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git checkout ${FLASHMLA_COMMIT}
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git submodule update --init --recursive
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FLASH_MLA_DISABLE_SM100=${FLASH_MLA_DISABLE_SM100} $PIP_CMD install -v . $PIP_INSTALL_SUFFIX --no-build-isolation
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cd ..
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# Install fast-hadamard-transform
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FAST_HADAMARD_TRANSFORM_COMMIT="7fd811c2b47f63b0b08d2582619f939e14dad77c"
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git clone https://github.com/Dao-AILab/fast-hadamard-transform
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cd fast-hadamard-transform
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git checkout ${FAST_HADAMARD_TRANSFORM_COMMIT}
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$PIP_CMD install . $PIP_INSTALL_SUFFIX --no-build-isolation
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cd ..
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fi
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fi
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# Show current packages
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# Show current packages
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@@ -170,6 +170,9 @@ suites = {
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"per-commit-8-gpu-deepep": [
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"per-commit-8-gpu-deepep": [
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TestFile("ep/test_deepep_large.py", 338),
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TestFile("ep/test_deepep_large.py", 338),
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],
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],
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"per-commit-8-gpu-deepseek-v32": [
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TestFile("test_deepseek_v32_basic.py", 275),
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],
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"per-commit-8-gpu-h20": [
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"per-commit-8-gpu-h20": [
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TestFile("quant/test_w4a8_deepseek_v3.py", 371),
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TestFile("quant/test_w4a8_deepseek_v3.py", 371),
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],
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],
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78
test/srt/test_deepseek_v32_basic.py
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78
test/srt/test_deepseek_v32_basic.py
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@@ -0,0 +1,78 @@
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import unittest
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from types import SimpleNamespace
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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_TIMEOUT_FOR_SERVER_LAUNCH,
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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_V32_MODEL_PATH = "deepseek-ai/DeepSeek-V3.2-Exp"
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class TestDeepseekV3Basic(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEEPSEEK_V32_MODEL_PATH
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--trust-remote-code",
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"--tp",
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"8",
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"--dp",
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"8",
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"--enable-dp-attention",
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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=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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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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args = SimpleNamespace(
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num_shots=8,
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data_path=None,
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num_questions=1400,
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parallel=1400,
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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-v3)\n" f'{metrics["accuracy"]=:.3f}\n'
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)
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self.assertGreater(metrics["accuracy"], 0.935)
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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"{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-v3)\n" f"{speed=:.2f} token/s\n"
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)
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self.assertGreater(speed, 50)
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if __name__ == "__main__":
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unittest.main()
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