[AMD] Fix deepseek-v4 mtp accept length issue (#28520)
Co-authored-by: Bingxu Chen <bingxche@amd.com>
This commit is contained in:
co-authored by
Bingxu Chen
parent
8aaca72c21
commit
f5b041622b
@@ -68,6 +68,7 @@ on:
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# 8-GPU DeepSeek-V4 (MI35x only)
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- nightly-8-gpu-mi35x-deepseek-v4-flash-rocm720
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- nightly-8-gpu-mi35x-deepseek-v4-pro-rocm720
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- nightly-8-gpu-mi35x-deepseek-v4-pro-mtp-rocm720
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# 8-GPU Kimi-K2.6 (MI30x + MI35x)
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- nightly-8-gpu-kimi-k26-rocm720
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- nightly-8-gpu-mi35x-kimi-k26-rocm720
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@@ -1321,6 +1322,54 @@ jobs:
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python3 run_suite.py --hw amd --suite nightly-amd-8-gpu-mi35x-deepseek-v4-pro --nightly --timeout-per-file 14400 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }}
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echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
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nightly-8-gpu-mi35x-deepseek-v4-pro-mtp-rocm720:
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if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-8-gpu-mi35x-deepseek-v4-pro-mtp-rocm720,'))
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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.sha }}
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- name: Ensure VRAM is clear
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run: bash scripts/ci/amd/ensure_vram_clear.sh rocm
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- name: Setup docker (ROCm 7.2)
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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 --rocm-version rocm720
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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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# --skip-test-time-deps: GSM8K + send_one don't need lmms-eval / human-eval.
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bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-test-time-deps
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bash scripts/ci/amd/amd_ci_exec.sh pip install tabulate
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- name: Accuracy + MTP Accept Length Test MI35x ROCm 7.2 (8-GPU DeepSeek-V4-Pro FP8 MTP, unified_kv_triton)
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timeout-minutes: 240
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run: |
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> github_summary.md # Clear summary file
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echo "## SGLANG_HACK_FLASHMLA_BACKEND=unified_kv_triton" >> github_summary.md
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bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
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-e SGLANG_HACK_FLASHMLA_BACKEND=unified_kv_triton \
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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-8-gpu-mi35x-deepseek-v4-pro-mtp --nightly --timeout-per-file 7200 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }}
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echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
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- name: Accuracy + MTP Accept Length Test MI35x ROCm 7.2 (8-GPU DeepSeek-V4-Pro FP8 MTP, triton)
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if: ${{ !cancelled() }}
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timeout-minutes: 240
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run: |
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> github_summary.md # Clear summary file
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echo "## SGLANG_HACK_FLASHMLA_BACKEND=triton" >> github_summary.md
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bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
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-e SGLANG_HACK_FLASHMLA_BACKEND=triton \
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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-8-gpu-mi35x-deepseek-v4-pro-mtp --nightly --timeout-per-file 7200 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }}
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echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
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# ==============================================================================
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# 8-GPU Kimi-K2.6 (MI30x + MI35x)
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# ==============================================================================
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@@ -1879,6 +1928,7 @@ jobs:
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# 8-GPU DeepSeek-V4 (MI35x only)
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- nightly-8-gpu-mi35x-deepseek-v4-flash-rocm720
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- nightly-8-gpu-mi35x-deepseek-v4-pro-rocm720
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- nightly-8-gpu-mi35x-deepseek-v4-pro-mtp-rocm720
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# 8-GPU Kimi-K2.6 (MI30x + MI35x)
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- nightly-8-gpu-kimi-k26-rocm720
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- nightly-8-gpu-mi35x-kimi-k26-rocm720
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@@ -1316,24 +1316,37 @@ class DeepseekV4HipRadixBackend(
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recompute at store time, matching the pre-cache per-layer behavior, for
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paths that never ran the decode-stream init (eager prefill/extend, idle,
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or a batch re-padded after init -> shape mismatch).
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Cached swa_loc is computed once from committed positions, so every draft-decode
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step would reuse the same ring slot and break the chain. Recompute from the live
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per-step positions; only the draft path is affected, the rest keeps the fast path.
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"""
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positions = forward_batch.positions
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core = getattr(self.forward_metadata, "core_attn_metadata", None)
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unified = getattr(core, "unified", None) if core is not None else None
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cached = unified.swa_loc if unified is not None else None
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is_multistep_draft_decode = (
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forward_batch.forward_mode.is_decode_or_idle()
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and self.speculative_num_steps > 1
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)
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if (
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cached is not None
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and not forward_batch.forward_mode.is_idle()
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and cached.shape[0] == positions.shape[0]
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and not is_multistep_draft_decode
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):
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return cached
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ring = self.token_to_kv_pool.unified_swa_ring_size
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req_slot = forward_batch.req_pool_indices.to(torch.int64)
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if req_slot.shape[0] != positions.shape[0]:
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req_slot = req_slot.repeat_interleave(
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positions.shape[0] // req_slot.shape[0]
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result = cached
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else:
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ring = self.token_to_kv_pool.unified_swa_ring_size
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req_slot = forward_batch.req_pool_indices.to(torch.int64)
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if req_slot.shape[0] != positions.shape[0]:
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req_slot = req_slot.repeat_interleave(
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positions.shape[0] // req_slot.shape[0]
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)
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result = (req_slot * ring + positions.to(torch.int64) % ring).to(
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torch.int32
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)
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return (req_slot * ring + positions.to(torch.int64) % ring).to(torch.int32)
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return result
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def store_cache(
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self, layer_id: int, swa_k: torch.Tensor, forward_batch: ForwardBatch
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@@ -0,0 +1,179 @@
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"""MI35x DeepSeek-V4-Pro FP4 + MTP Test (8-GPU)
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- Accuracy: GSM8K few-shot eval
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- Acceptance: mtp acc length eval
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Registry: nightly-amd-8-gpu-mi35x-deepseek-v4-pro-mtp 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.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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register_amd_ci(
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est_time=7200, suite="nightly-amd-8-gpu-mi35x-deepseek-v4-pro-mtp", nightly=True
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)
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DEEPSEEK_V4_PRO_FP4_MODEL_PATH = os.environ.get(
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"DEEPSEEK_V4_PRO_MODEL_PATH_FP4", "deepseek-ai/DeepSeek-V4-Pro"
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)
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# Pro is 1.6T; weight load + warmup is much longer than Flash 285B.
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SERVER_LAUNCH_TIMEOUT = 5400
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FLASHMLA_BACKEND = os.environ.get("SGLANG_HACK_FLASHMLA_BACKEND", "unified_kv_triton")
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GSM8K_ACCURACY_THRESHOLD = 0.92
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AVG_SPEC_ACCEPT_LENGTH_THRESHOLD = 2.8
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# Common DeepSeek-V4 env vars (AMD ROCm 7.2 path: AITER indexer + triton attn + ROCm700A).
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COMMON_ENV_VARS = {
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"SGLANG_DEFAULT_THINKING": "1",
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"SGLANG_DSV4_REASONING_EFFORT": "max",
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"SGLANG_OPT_DEEPGEMM_HC_PRENORM": "false",
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"SGLANG_USE_AITER": "1",
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"SGLANG_USE_ROCM700A": "1",
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"SGLANG_OPT_USE_FUSED_COMPRESS": "true",
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"SGLANG_OPT_USE_FUSED_COMPRESS_TRITON": "true",
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"SGLANG_HACK_FLASHMLA_BACKEND": FLASHMLA_BACKEND,
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"SGLANG_OPT_FP8_WO_A_GEMM": "false",
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"SGLANG_OPT_USE_JIT_INDEXER_METADATA": "false",
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"SGLANG_OPT_USE_TOPK_V2": "false",
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"SGLANG_OPT_USE_AITER_INDEXER": "true",
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"SGLANG_OPT_USE_TILELANG_INDEXER": "false",
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"SGLANG_OPT_USE_TILELANG_MHC_PRE": "false",
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"SGLANG_OPT_USE_TILELANG_MHC_POST": "false",
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"SGLANG_FP8_PAGED_MQA_LOGITS_TORCH": "1",
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"SGLANG_OPT_USE_MULTI_STREAM_OVERLAP": "false",
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"SGLANG_ROCM_USE_MULTI_STREAM": "false",
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"AITER_BF16_FP8_MOE_BOUND": "0",
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"SGLANG_EAGER_INPUT_NO_COPY": "1",
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}
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FP4_ENV_VARS = {
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"SGLANG_DSV4_FP4_EXPERTS": "true",
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}
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class TestDeepseekV4ProFp4MTP(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEEPSEEK_V4_PRO_FP4_MODEL_PATH
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cls.base_url = DEFAULT_URL_FOR_TEST
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env = os.environ.copy()
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env.update(COMMON_ENV_VARS)
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env.update(FP4_ENV_VARS)
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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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"--disable-radix-cache",
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"--attention-backend",
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"dsv4",
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# MTP / EAGLE speculative decoding (NextN head from the base model).
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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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"--max-running-requests",
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"256",
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"--page-size",
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"256",
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"--mem-fraction-static",
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"0.90",
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"--swa-full-tokens-ratio",
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"0.1",
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"--chunked-prefill-size",
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"8192",
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"--disable-shared-experts-fusion",
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"--tool-call-parser",
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"deepseekv4",
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"--reasoning-parser",
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"deepseek-v4",
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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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env=env,
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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(self):
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# `a` prefix to run first (alphabetically) and 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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server_info = requests.get(self.base_url + "/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-v4-pro-fp4 MTP, {FLASHMLA_BACKEND})\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"], GSM8K_ACCURACY_THRESHOLD)
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self.assertGreater(avg_spec_accept_length, AVG_SPEC_ACCEPT_LENGTH_THRESHOLD)
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def test_b_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-v4-pro-fp4 MTP, {FLASHMLA_BACKEND})\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, AVG_SPEC_ACCEPT_LENGTH_THRESHOLD)
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if __name__ == "__main__":
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# run_suite.py's run_one_file launches each test file with `python3 <file> -f`,
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# which enables unittest fail-fast. test_a_gsm8k (accuracy + accept length) and
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# test_b_bs_1_speed are independent measurements sharing one expensive server
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# launch; strip `-f` so later methods still run if an earlier one fails.
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import sys
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sys.argv = [a for a in sys.argv if a not in ("-f", "--failfast")]
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unittest.main()
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