DeepSeek V4 w4a4 MegaMoE (#25052)
Co-authored-by: pranjalssh <adkz.photos@gmail.com>
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co-authored by
pranjalssh
parent
34c0029f0a
commit
b7f856df70
@@ -59,7 +59,7 @@ dependencies = [
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"sentencepiece",
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"setproctitle",
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"flash-attn-4>=4.0.0b9",
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"sgl-deep-gemm==0.0.1",
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"sgl-deep-gemm==0.1.0",
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"sglang-kernel==0.4.2.post1",
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"soundfile==0.13.1",
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"tiktoken",
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@@ -595,6 +595,17 @@ class Envs:
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# DeepGemm Mega MoE
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SGLANG_OPT_USE_DEEPGEMM_MEGA_MOE = EnvBool(False)
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SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK = EnvInt(1024)
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# When set, the mega-MoE x slot is packed E2M1 (FP4) instead of FP8 E4M3.
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# Halves symm-buffer footprint and unlocks the MXF4 mainloop downstream.
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# Setting this also exports DG_USE_FP4_ACTS=1 so DeepGEMM's symm-buffer
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# sizing + fp8_fp4_mega_moe pick up the FP4 layout.
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SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_FP4_ACTS = EnvBool(False)
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# Switches the L1+L2 mainloops from kind::mxf8f6f4 (K=32 with-padding) to
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# kind::mxf4 (K=64 dense) inside fp8_fp4_mega_moe. No effect unless
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# SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_FP4_ACTS is also set; DeepGEMM asserts
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# this combination on the host side.
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SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_MXF4_KIND = EnvBool(False)
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SGLANG_OPT_FIX_MEGA_MOE_MEMORY = EnvBool(False)
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# TopK
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@@ -15,6 +15,7 @@
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from __future__ import annotations
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import os
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from contextlib import nullcontext
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from typing import TYPE_CHECKING, Optional
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@@ -34,6 +35,26 @@ if TYPE_CHECKING:
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_MEGA_MOE_SYMM_BUFFER: dict = {}
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_MEGA_MOE_DG_ENV_APPLIED = False
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def _apply_mega_moe_dg_env() -> None:
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"""Forward sglang's FP4/MXF4 opt-in flags to DeepGEMM via env vars.
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DeepGEMM reads `DG_USE_FP4_ACTS` (and `DG_USE_MXF4_KIND`) at host-function
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call time — both `get_symm_buffer_for_mega_moe` and `fp8_fp4_mega_moe`.
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Forwarding once at first use is sufficient (these are static config
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flags, not per-request state) and matches the `setdefault` pattern so
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explicit `DG_USE_*` overrides from outside still win.
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"""
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global _MEGA_MOE_DG_ENV_APPLIED
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if _MEGA_MOE_DG_ENV_APPLIED:
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return
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if envs.SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_FP4_ACTS.get():
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os.environ.setdefault("DG_USE_FP4_ACTS", "1")
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if envs.SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_MXF4_KIND.get():
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os.environ.setdefault("DG_USE_MXF4_KIND", "1")
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_MEGA_MOE_DG_ENV_APPLIED = True
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def _get_mega_moe_symm_buffer(
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@@ -46,6 +67,8 @@ def _get_mega_moe_symm_buffer(
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) -> SymmBuffer:
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import deep_gemm
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_apply_mega_moe_dg_env()
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key = (
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id(group),
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num_max_tokens_per_rank,
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@@ -188,16 +211,35 @@ def _run_mega_routed(
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else:
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topk_ids_in = hidden_states.new_empty((0, top_k), dtype=torch.int32)
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topk_weights_in = hidden_states.new_empty((0, top_k), dtype=torch.float32)
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mega_moe_pre_dispatch(
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hidden_states,
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topk_ids_in,
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topk_weights_in,
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buf.x,
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buf.x_sf,
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buf.topk_idx,
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buf.topk_weights,
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quant_group_size=32,
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)
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use_fp4_acts = envs.SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_FP4_ACTS.get()
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if use_fp4_acts:
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# FP4 path goes through DeepGEMM's mega_moe_pre_dispatch which
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# handles the E2M1 packing variant. The jit implementation
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# only emits FP8.
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deep_gemm.mega_moe_pre_dispatch(
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hidden_states,
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topk_ids_in,
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topk_weights_in,
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buf.x,
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buf.x_sf,
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buf.topk_idx,
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buf.topk_weights,
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num_tokens=num_tokens,
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group_size=32,
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use_fp4_acts=True,
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)
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else:
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mega_moe_pre_dispatch(
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hidden_states,
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topk_ids_in,
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topk_weights_in,
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buf.x,
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buf.x_sf,
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buf.topk_idx,
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buf.topk_weights,
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quant_group_size=32,
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)
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# Allocate at least one row so y has a non-null CUDA data_ptr;
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# the DeepGEMM tvm-ffi binding rejects nullptr in convert_to_torch_tensor().
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@@ -31,14 +31,6 @@ _DEEPEP_ENV = {
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"SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK": "1024",
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}
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_MEGAMOE_ENV = {
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"SGLANG_OPT_USE_DEEPGEMM_MEGA_MOE": "1",
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"SGLANG_OPT_FIX_MEGA_MOE_MEMORY": "1",
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"SGLANG_OPT_FIX_NEXTN_MEGA_MOE": "1",
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"SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK": "4096",
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"SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK": "0",
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}
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def _gsm8k_check(test_case):
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args = SimpleNamespace(
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@@ -138,46 +130,5 @@ class TestDSV4FlashFP4B200Balanced(ServerSanityMixin, CustomTestCase):
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_gsm8k_check(self)
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class TestDSV4FlashFP4B200MegaMoE(ServerSanityMixin, CustomTestCase):
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"""Balanced recipe: TP=4, DP=4, MegaMoE."""
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@classmethod
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def setUpClass(cls):
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cls.model = try_cached_model(MODEL)
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cls.base_url = DEFAULT_URL_FOR_TEST
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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=[
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"--trust-remote-code",
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"--tp",
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"4",
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"--dp",
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"4",
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"--enable-dp-attention",
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"--moe-a2a-backend",
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"deepep",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"1",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"2",
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],
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env=_MEGAMOE_ENV,
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)
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@classmethod
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def tearDownClass(cls):
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if hasattr(cls, "process") and cls.process:
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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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_gsm8k_check(self)
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if __name__ == "__main__":
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unittest.main()
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@@ -0,0 +1,148 @@
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"""B200 per-commit CI: DeepSeek-V4-Flash FP4 (LowLatency recipe).
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Launches TP=4 with flashinfer_mxfp4 MoE runner + EAGLE speculative decoding.
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Runs 12 ServerSanity probes (correctness, streaming, concurrency, determinism)
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plus a GSM8K accuracy gate.
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Registry: stage-c-test-dsv4-4-gpu-b200 (per-commit, 4x B200)
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"""
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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.ci.ci_register import register_cuda_ci
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from sglang.test.kits.server_sanity_kit import ServerSanityMixin
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from sglang.test.run_eval import run_eval
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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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popen_launch_server,
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try_cached_model,
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)
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register_cuda_ci(est_time=1800, suite="stage-c-test-dsv4-4-gpu-b200")
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MODEL = "deepseek-ai/DeepSeek-V4-Flash"
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SERVER_LAUNCH_TIMEOUT = 3600
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_W4A8_MEGAMOE_ENV = {
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"SGLANG_OPT_USE_DEEPGEMM_MEGA_MOE": "1",
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"SGLANG_OPT_FIX_MEGA_MOE_MEMORY": "1",
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"SGLANG_OPT_FIX_NEXTN_MEGA_MOE": "1",
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"SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK": "4096",
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"SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK": "0",
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}
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_W4A4_MEGAMOE_ENV = {
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"SGLANG_OPT_USE_DEEPGEMM_MEGA_MOE": "1",
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"SGLANG_OPT_FIX_MEGA_MOE_MEMORY": "1",
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"SGLANG_OPT_FIX_NEXTN_MEGA_MOE": "1",
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"SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK": "4096",
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"SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK": "0",
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"SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_FP4_ACTS": "1",
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"SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_MXF4_KIND": "1",
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}
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def _gsm8k_check(test_case):
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args = SimpleNamespace(
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base_url=test_case.base_url,
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model=test_case.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=200,
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num_threads=128,
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)
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metrics = run_eval(args)
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print(f"[{type(test_case).__name__}] GSM8K {metrics=}")
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test_case.assertGreater(metrics["score"], 0.93)
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class TestDSV4FlashFP4B200W4A8MegaMoE(ServerSanityMixin, CustomTestCase):
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"""Balanced recipe: TP=4, DP=4, MegaMoE."""
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@classmethod
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def setUpClass(cls):
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cls.model = try_cached_model(MODEL)
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cls.base_url = DEFAULT_URL_FOR_TEST
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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=[
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"--trust-remote-code",
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"--tp",
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"4",
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"--dp",
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"4",
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"--enable-dp-attention",
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"--moe-a2a-backend",
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"deepep",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"1",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"2",
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],
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env=_W4A8_MEGAMOE_ENV,
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)
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@classmethod
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def tearDownClass(cls):
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if hasattr(cls, "process") and cls.process:
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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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_gsm8k_check(self)
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class TestDSV4FlashFP4B200W4A4MegaMoE(ServerSanityMixin, CustomTestCase):
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"""Balanced recipe: TP=4, DP=4, MegaMoE."""
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@classmethod
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def setUpClass(cls):
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cls.model = try_cached_model(MODEL)
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cls.base_url = DEFAULT_URL_FOR_TEST
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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=[
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"--trust-remote-code",
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"--tp",
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"4",
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"--dp",
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"4",
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"--enable-dp-attention",
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"--moe-a2a-backend",
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"deepep",
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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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],
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env=_W4A4_MEGAMOE_ENV,
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)
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@classmethod
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def tearDownClass(cls):
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if hasattr(cls, "process") and cls.process:
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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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_gsm8k_check(self)
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if __name__ == "__main__":
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unittest.main()
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