repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
sglang | test/registered/unit/layers/test_fp8_bpreshuffle_scale.py | .py | import unittest
from unittest.mock import patch
import torch
from sglang.srt.layers.quantization.fp8_utils import (
materialize_bpreshuffle_fp8_scale,
materialize_bpreshuffle_fp8_scale_tuple,
view_aiter_fused_rms_transposed_fp8_scale,
)
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.te... | 107 | 4,608 |
sglang | test/registered/unit/layers/test_radix_attention.py | .py | """CPU unit tests for the graph-safe ``RadixAttention`` interface."""
import unittest
from contextlib import ExitStack
from types import SimpleNamespace
from unittest.mock import patch
import torch
import sglang.srt.layers.radix_attention as radix_attention_module
from sglang.srt.layers.radix_attention import RadixA... | 323 | 12,004 |
sglang | test/registered/unit/layers/test_conv_layer.py | .py | from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=7, suite="base-a-test-cpu")
import unittest
import torch
import torch.nn as nn
from sglang.srt.layers.conv import Conv2dLayer, Conv3dLayer
def _copy_weights(src, dst_nn):
"""Copy weights from Conv*dLayer to nn.Conv*d for compariso... | 364 | 13,127 |
sglang | test/registered/unit/layers/test_dsv4_nonpaged_indexer.py | .py | import sys
import unittest
from types import SimpleNamespace
from unittest.mock import MagicMock, patch
import torch
from sglang.srt.environ import envs
from sglang.srt.layers.attention.dsv4.indexer import FP8_DTYPE, C4IndexerBackendMixin
from sglang.srt.layers.attention.dsv4.metadata import (
NonPagedIndexerPlan... | 325 | 13,965 |
sglang | test/registered/unit/layers/test_logprob_chunk_stitching.py | .py | """Chunked input-logprob processing must match the non-chunked reference.
Regression for the cross-chunk stitching accounting: zero-logprob-row
sequences (logprob opt-outs in mixed batches, mid-chunked-prefill segments)
were skipped or double-emitted, drifting the per-request entry counts that
the scheduler asserts on... | 142 | 5,343 |
sglang | test/registered/unit/layers/quantization/test_int8_linear_methods.py | .py | """Numerics for the INT8 dense-linear methods.
Real layer path vs a dequantized-reference matmul, in two formats:
channel W8A8 (W8A8Int8LinearMethod, per-channel weight scale + dynamic
per-token int8 activations) and blockwise (BlockInt8LinearMethod,
(128, 128) block weight scale).
"""
import unittest
import torch
... | 127 | 4,336 |
sglang | test/registered/unit/layers/quantization/test_nvfp4_moe_backends.py | .py | """Numerics for the NVFP4 FusedMoE runner backends (--moe-runner-backend).
Real FusedMoE path (NVFP4 checkpoint shards through the real weight_loader
-> weight processing -> forward) per backend vs a dequantized torch MoE
reference. Single GPU, tp=ep=1.
"""
import unittest
import torch
from sglang.srt.layers.moe.ut... | 158 | 6,330 |
sglang | test/registered/unit/layers/quantization/test_modelopt_nvfp4_moe_scales.py | .py | """CPU unit tests for NVFP4 fused-MoE GEMM1 global-scale handling.
w13 fuses the gate (w1) and up (w3) projections, which can carry separate NVFP4
weight scales. These tests pin the two helpers that handle that: the gate/up
split in _compute_gemm1_alphas and the TRT-LLM up-half output scalar in
_compute_g1_scale_c. Bo... | 309 | 14,257 |
sglang | test/registered/unit/layers/quantization/test_compressed_tensors_mixed_precision.py | .py | """CPU regression tests for multi-group ("mixed-precision") compressed-tensors configs.
Such a checkpoint used to load completely unquantized. ``ignore`` was matched by
substring, so a parent module entry swallowed its quantized children, and the
activation-quantization gate read the top-level format -- which compress... | 193 | 6,647 |
sglang | test/registered/unit/layers/quantization/test_fp8_utils_mxfp4.py | .py | import unittest
import torch
from sglang.srt.layers.quantization.fp8_utils import (
quantize_block_fp8_weight_to_mxfp4,
)
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=4, suite="base-a-test-cpu")
class TestFp8UtilsMxfp4(unittest.TestCase):
def test_quantize_block_fp8_weigh... | 51 | 1,701 |
sglang | test/registered/unit/layers/quantization/test_nvfp4_linear_backends.py | .py | """Numerics for the NVFP4 dense-linear GEMM backends (--fp4-gemm-backend).
Real layer path (ColumnParallelLinear -> weight_loader -> weight processing
-> forward) per SM100 backend vs a dequantized-reference matmul; a merged
two-shard case guards the per-partition scale gathering of fused layers.
"""
import unittest
... | 176 | 6,168 |
sglang | test/registered/unit/layers/quantization/test_fp8_blockwise_linear_backends.py | .py | """Numerics for the FP8 dense-linear GEMM backends (--fp8-gemm-backend).
Real layer path vs a dequantized-reference matmul, in three formats: FP8
blockwise, MXFP8, and per-tensor FP8 (auto dispatch). Backend sets adapt to
the device SM, so one file covers SM90 / SM100 / SM120.
"""
import unittest
from unittest import... | 271 | 9,688 |
sglang | test/registered/unit/layers/quantization/test_mxfp4_sm120_cutlass.py | .py | """SM120 FlashInfer MXFP8-by-MXFP4 MoE integration test."""
from __future__ import annotations
import builtins
import importlib
import sys
from contextlib import nullcontext
from types import SimpleNamespace
import pytest
import torch
from sglang.test.ci.ci_register import register_cuda_ci
register_cuda_ci(est_tim... | 438 | 15,582 |
sglang | test/registered/unit/layers/quantization/test_fp8_kernel_hip_max.py | .py | """AMD/gfx950 (MI355X) test for the ROCm fp8 range used by per-token-group quant.
ROCm fp8 is device-dependent: e4m3fnuz (max 224.0) on gfx94x (MI300) vs e4m3fn
(max 448.0) on gfx95x (MI355X). ``_per_token_group_quant_8bit_raw`` previously
hardcoded 224.0 for *all* ROCm devices, which silently halved the usable fp8
ra... | 62 | 2,431 |
sglang | test/registered/unit/layers/quantization/test_deepgemm_ue8m0_requant.py | .py | """CPU guards for DeepGEMM UE8M0 weight-scale requantization decisions."""
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=5, suite="base-a-test-cpu")
import unittest
from unittest.mock import call, patch
import torch
from compressed_tensors.quantization import QuantizationStrategy
... | 223 | 7,906 |
sglang | test/registered/unit/layers/quantization/test_fp4_kv_cache_quant_method.py | .py | """Unit tests for FP4 KV cache quantization strategy pattern - no server, no model loading."""
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=5, suite="base-a-test-cpu")
import unittest
import torch
from sglang.test.test_utils import CustomTestCase
def skip_if_no_blackwell_nvfp4(... | 315 | 11,876 |
sglang | test/registered/unit/layers/quantization/test_quark_config.py | .py | """Unit tests for QuarkConfig — CPU-only, no model loading."""
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=5, suite="base-a-test-cpu")
import unittest
from unittest.mock import patch
import torch
from sglang.srt.layers.quantization.quark.quark import (
QuarkConfig,
_buil... | 212 | 8,891 |
sglang | test/registered/unit/layers/quantization/test_mxfp4_sm90_cutlass.py | .py | """Unit test for the SM90 cutlass MXFP4 path in :class:`Mxfp4MoEMethod`.
Builds a single-layer GPT-OSS-style MoE with random MXFP4 weights, drives the
SGLang plumbing (``_process_weights_for_sm90_cutlass`` + ``_apply_sm90_cutlass``)
and compares against a direct FlashInfer ``cutlass_fused_moe`` call with the
same inpu... | 590 | 21,675 |
sglang | test/registered/unit/layers/quantization/test_modelopt_nvfp4.py | .py | import unittest
from unittest.mock import patch
import torch
import torch.nn as nn
from sglang.srt.layers.linear import MergedColumnParallelLinear, QKVParallelLinear
from sglang.srt.layers.parameter import PerTensorScaleParameter
from sglang.srt.layers.quantization.modelopt_quant import (
ModelOptFp4Config,
M... | 138 | 4,892 |
sglang | test/registered/unit/layers/quantization/test_compressed_tensors_wna16_moe_no_linear.py | .py | """CPU regression test for WNA16 compressed-tensors MoE with no "Linear" group.
CompressedTensorsWNA16MoE used to read ``target_scheme_map["Linear"]`` in its
constructor. That raised ``KeyError: 'Linear'`` for compressed-tensors MoE
checkpoints whose ``config_groups`` only target the expert projections through a
regex... | 119 | 4,874 |
sglang | test/registered/unit/layers/quantization/test_quark_utils.py | .py | """Unit tests for sglang.srt.layers.quantization.quark.utils — CPU-only, no model loading."""
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=5, suite="base-a-test-cpu")
import unittest
import torch
from sglang.srt.layers.quantization.quark.utils import e8m0_to_f32
from sglang.test.... | 71 | 2,664 |
sglang | test/registered/unit/layers/quantization/test_flashinfer_trtllm_fp8_fallback.py | .py | """Unit test for the FlashInfer TRTLLM block-FP8 GEMM fallback decision.
Regression guard for two coupled behaviors in
``flashinfer_gemm_w8a8_block_fp8_linear_with_fallback``:
* DeepSeek-R1 perf regression (commit 5da265de): with
``--fp8-gemm-backend flashinfer_trtllm`` the dense block-FP8 weight scales are
plain... | 104 | 4,333 |
sglang | test/registered/unit/layers/moe/test_aiter_runner.py | .py | import sys
from types import ModuleType, SimpleNamespace
import pytest
import torch
import sglang.srt.layers.moe.moe_runner.aiter as aiter_runner
from sglang.srt.layers.moe.moe_runner.aiter import (
AiterMoeQuantInfo,
AiterQuantType,
AiterRunnerCore,
AiterRunnerInput,
)
from sglang.srt.layers.moe.moe_... | 120 | 3,936 |
sglang | test/registered/unit/layers/moe/test_copy_weight_views_before_h2d.py | .py | import torch
from sglang.srt.layers.moe.fused_moe_triton.layer import (
_copy_weight_view_before_h2d,
)
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=2, suite="base-a-test-cpu")
def _assert_independent_copy(source: torch.Tensor, result: torch.Tensor) -> None:
assert torch.e... | 51 | 1,577 |
sglang | test/registered/unit/layers/moe/test_w4afp8_deepep_post_reorder.py | .py | """Regression test for W4AFP8 DeepEP-normal post-reorder scaling."""
import sys
import unittest
from types import ModuleType, SimpleNamespace
from unittest.mock import Mock, patch
import torch
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils import CustomTestCase
register_cpu_ci(es... | 146 | 4,976 |
sglang | test/registered/unit/layers/moe/test_w4afp8_deepep_dtype.py | .py | """CPU regressions for W4AFP8 DeepEP dispatcher dtypes."""
import unittest
from types import SimpleNamespace
from unittest.mock import Mock, patch
import torch
from sglang.srt.layers.moe import utils as moe_utils
from sglang.srt.layers.moe.token_dispatcher import deepep
from sglang.srt.layers.moe.utils import (
... | 125 | 4,446 |
sglang | test/registered/unit/layers/moe/test_fused_moe_triton_config.py | .py | import json
from pathlib import Path
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=3, suite="base-a-test-cpu")
from sglang.srt.layers.moe.moe_runner.triton_utils import fused_moe_triton_config
from sglang.srt.runtime_context import get_context
def test_h200_bf16_config_is_availab... | 58 | 1,825 |
sglang | test/registered/unit/layers/moe/test_hpc_ops_runner_guard.py | .py | """The hpc_ops MoE runner backend makes the standard dispatcher keep global
expert ids, so a quant method that silently falls back to another runner
(e.g. an unquantized MoE) would misroute tokens under EP>1. MoeRunner must
reject that combination loudly at startup.
"""
import sys
import pytest
from sglang.srt.layer... | 64 | 2,413 |
sglang | test/registered/unit/layers/moe/test_fused_shared_expert_scaling.py | .py | """Unit tests for fused shared-expert weight scaling on per-rank shared slots.
These tests pin the contract of ``remap_topk_for_per_rank_shared_slots`` for
the fused shared expert's topk weight on the two paths this fix covers:
* aiter (HIP) path: routed_scaling_factor is folded into the routed weights and
the ... | 118 | 4,800 |
sglang | test/registered/unit/layers/moe/test_fused_moe_common_utils.py | .py | import importlib.util
from pathlib import Path
from types import SimpleNamespace
from unittest.mock import patch
import torch
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=3, suite="base-a-test-cpu")
def _load_common_utils():
source = (
Path(__file__).resolve().parents... | 62 | 1,673 |
sglang | test/registered/unit/layers/attention/test_vision_seqlens.py | .py | import pytest
import torch
from sglang.srt.layers.attention.vision import SingletonCache, resolve_max_seqlen
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=2, suite="base-a-test-cpu")
def test_resolve_max_seqlen_accepts_raw_tensor_without_attribute_cache():
cu_seqlens = torch.te... | 26 | 738 |
sglang | test/registered/unit/layers/attention/test_kda_helion_dispatcher.py | .py | import unittest
from unittest.mock import ANY, MagicMock, patch
import torch
from sglang.srt.layers.attention.linear.kda_backend import KDAKernelDispatcher
from sglang.srt.layers.attention.linear.kernels.kda_helion import HelionKDAKernel
from sglang.srt.layers.attention.linear.kernels.kda_triton import TritonKDAKerne... | 198 | 7,396 |
sglang | test/registered/unit/layers/attention/test_flashattention_pa_swa_prefill_lens_size.py | .py | """Regression test for PR #32208 / base-b-test-1-gpu-large CI failure.
FlashAttentionBackend's prefill-aware-SWA scratch buffer
(``_pa_swa_prefill_lens``) is indexed directly by raw ``req_pool_idx`` values
(``self._pa_swa_prefill_lens[forward_batch.req_pool_indices[:batch_size]] =
...``), not by batch position. ``ReqT... | 111 | 4,719 |
sglang | test/registered/unit/layers/attention/test_verify_mask.py | .py | import unittest
from types import SimpleNamespace
import torch
from sglang.srt.layers.attention.hybrid_attn_backend import HybridAttnBackend
from sglang.srt.layers.attention.verify_mask import (
VerifyMask,
maybe_create_verify_mask,
tree_mask_numel,
)
from sglang.srt.speculative.eagle_utils import TreeMas... | 177 | 6,090 |
sglang | test/registered/unit/layers/attention/test_linear_attn_config.py | .py | """Each runner carries its own linear-attn kernel choice.
A target and its draft coexist in one process and can want different kernels:
only the runner whose model is GDN gets the SM100 FlashInfer prefill default,
and the operator's explicit flag applies to the launch. So the choice is a
per-runner stamp read from the... | 162 | 6,909 |
sglang | test/registered/unit/layers/attention/test_gdn_prefill_backend_policy.py | .py | import unittest
from types import SimpleNamespace
from unittest.mock import MagicMock, patch, sentinel
import torch
from sglang.srt.layers.attention.hybrid_linear_attn_backend import (
MambaAttnBackendBase,
)
from sglang.srt.layers.attention.linear import gdn_backend
from sglang.srt.layers.attention.linear.gdn_ba... | 252 | 9,810 |
sglang | test/registered/unit/layers/attention/test_index_topk_share.py | .py | import sys
from types import SimpleNamespace
import pytest
import torch
from sglang.srt.layers.attention.index_topk_share import IndexTopKShareState
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=2, suite="base-a-test-cpu")
def _batch(
reuse: bool, carried, *, is_extend: bool =... | 164 | 5,149 |
sglang | test/registered/unit/layers/attention/test_vision_backend_selection.py | .py | import sys
from types import SimpleNamespace
from unittest.mock import Mock
import pytest
import torch
import torch.nn.functional as F
from einops import rearrange
from sglang.srt.layers.attention import vision
from sglang.test.ci.ci_register import register_cpu_ci, register_npu_ci
register_cpu_ci(est_time=2, suite=... | 153 | 4,370 |
sglang | test/registered/unit/layers/attention/test_vision_max_seqlen.py | .py | import sys
import pytest
import torch
from torch import nn
from sglang.srt.layers.attention import vision
from sglang.srt.models import kimi_k25
from sglang.srt.models.kimi_k25 import MoonViT3dEncoder, MoonViTEncoderLayer
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=1, suite="base-... | 242 | 7,704 |
sglang | test/registered/unit/layers/attention/linear/kernels/test_kda_nvidia.py | .py | """Unit tests for the NVIDIA KDA prefill routing/repacking wrapper."""
import unittest
from unittest.mock import Mock, patch
import torch
from sglang.srt.layers.attention.linear.kernels.kda_nvidia import (
NvidiaKDAKernel,
_from_nvidia_kda_state_layout,
_to_nvidia_kda_state_layout,
)
from sglang.test.ci.... | 203 | 7,242 |
sglang | test/registered/unit/entrypoints/test_server_info.py | .py | """Endpoint-level tests for `/server_info`.
`/server_info` is the introspection surface that external consumers
(SGLang's own deprecated `/get_server_info` alias, monitoring tools,
KV-aware routers) scrape to learn about the running server's
configuration. New `/server_info` behaviours should add their test
classes to... | 347 | 12,936 |
sglang | test/registered/unit/entrypoints/test_grpc_bridge.py | .py | import asyncio
import enum
import unittest
from types import SimpleNamespace
from sglang.srt.entrypoints.grpc_bridge import RuntimeHandle
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils import CustomTestCase
register_cpu_ci(est_time=1, suite="base-a-test-cpu")
class _ChunkStatus(e... | 116 | 3,289 |
sglang | test/registered/unit/entrypoints/test_ssl_cert_refresher.py | .py | import asyncio
import os
import tempfile
import unittest
from unittest.mock import MagicMock
from sglang.srt.entrypoints.ssl_utils import SSLCertRefresher
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils import CustomTestCase
register_cpu_ci(est_time=14, suite="base-a-test-cpu")
de... | 166 | 5,259 |
sglang | test/registered/unit/entrypoints/test_http2_server_config.py | .py | import importlib.util
import unittest
from unittest.mock import patch
from sglang.srt.entrypoints.http_server import _run_granian_server
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=2, suite="base-a-test-cpu")
@unittest.skipUnless(
importlib.util.find_spec("granian"), "granian... | 41 | 1,115 |
sglang | test/registered/unit/entrypoints/test_server_warmup.py | .py | """Unit tests for model-specific server warmup inputs."""
import base64
import struct
import unittest
from sglang.srt.entrypoints.http_server import (
KIMI_K3_VLM_WARMUP_PNG_PICTURE_BASE64,
KIMI_VLM_WARMUP_PNG_PICTURE_BASE64,
MINIMUM_PNG_PICTURE_BASE64,
_get_vlm_warmup_image_base64,
)
from sglang.test... | 60 | 2,074 |
sglang | test/registered/unit/entrypoints/test_v1_loads_aggregate.py | .py | """Unit tests for /v1/loads load snapshot response behavior."""
import asyncio
import os
import tempfile
import unittest
from types import SimpleNamespace
from unittest import mock
import msgspec.msgpack
from sglang.srt.entrypoints import v1_loads
from sglang.srt.entrypoints.v1_loads import get_loads
from sglang.srt... | 229 | 7,479 |
sglang | test/registered/unit/entrypoints/test_http_server_warmup.py | .py | import asyncio
import unittest
from types import SimpleNamespace
from unittest.mock import patch
from sglang.srt.disaggregation.utils import FAKE_BOOTSTRAP_HOST
from sglang.srt.entrypoints.http_server import (
_send_disaggregation_warmup_requests,
)
from sglang.test.ci.ci_register import register_cpu_ci
register_... | 84 | 2,851 |
sglang | test/registered/unit/entrypoints/openai/test_serving_responses_stream.py | .py | import unittest
from unittest.mock import patch
from utils import (
StreamFixture,
engine_chunk,
event_payloads,
event_types,
find_completed_event,
make_serving,
)
from sglang.srt.entrypoints.openai.protocol import ResponsesRequest
from sglang.test.ci.ci_register import register_cpu_ci
from sg... | 318 | 11,680 |
sglang | test/registered/unit/entrypoints/openai/test_serving_completions.py | .py | """
Unit-tests for the refactored completions-serving handler (no pytest).
Run with:
python -m unittest tests.test_serving_completions_unit -v
"""
from sglang.test.test_utils import maybe_stub_sgl_kernel
maybe_stub_sgl_kernel() # must precede any import that pulls in sgl_kernel
import json
import unittest
from ... | 475 | 18,063 |
sglang | test/registered/unit/entrypoints/openai/utils.py | .py | """Stub CUDA-only deps before importing sglang.srt serving modules. Must
be imported first by every /v1/responses test that runs on CPU."""
try:
import torch
_ORIGINAL_TORCH_COMPILE = torch.compile
def _identity_compile(fn=None, **kwargs):
if fn is None:
return lambda inner_fn: inner_... | 169 | 5,351 |
sglang | test/registered/unit/entrypoints/openai/test_protocol.py | .py | # Copyright 2023-2024 SGLang Team
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 712 | 28,044 |
sglang | test/registered/unit/entrypoints/openai/test_serving_chat.py | .py | """
Unit-tests for OpenAIServingChat -- rewritten to use only the std-lib 'unittest'.
Run with either:
python tests/test_serving_chat_unit.py -v
or
python -m unittest discover -s tests -p "test_*unit.py" -v
"""
from sglang.test.test_utils import maybe_stub_sgl_kernel
maybe_stub_sgl_kernel() # must precede an... | 3,201 | 127,268 |
sglang | test/registered/unit/entrypoints/openai/test_matched_stop.py | .py | import unittest
from sglang.srt.sampling.sampling_params import MAX_LEN, get_max_seq_length
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=6, suite="base-a-test-cpu")
class TestRegexPatternMaxLength(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.regex_str_... | 59 | 2,331 |
sglang | test/registered/unit/entrypoints/openai/test_serving_embedding.py | .py | """
Unit tests for the OpenAIServingEmbedding class from serving_embedding.py.
"""
import base64
import importlib
import importlib.abc
import importlib.machinery
import struct
import sys
import types
import unittest
import uuid
from unittest.mock import MagicMock, Mock
import jinja2
# Stub out sgl_kernel (and all s... | 370 | 14,725 |
sglang | test/registered/unit/entrypoints/openai/test_serving_transcription.py | .py | """Unit tests for OpenAIServingTranscription's streaming fused-autodetect path.
Exercises the streaming handler: buffer deltas until the forced-prefix
sentinel lands, emit the scrubbed user-visible text, and never leak
Whisper special tokens. Covers both streaming modes — cumulative
(``incremental_streaming_output=Fal... | 738 | 30,148 |
sglang | test/registered/unit/entrypoints/openai/test_whisper_adapter.py | .py | """Unit tests for the Whisper transcription adapter.
Focused on ``WhisperAdapter.parse_fused_output`` — a pure static method
that parses the fused auto-detect output into ``(language, user_visible_text)``.
``visible=None`` means "forced prefix not yet locatable; streaming callers
should keep buffering, non-streaming c... | 388 | 17,131 |
sglang | test/registered/unit/entrypoints/openai/test_audio_chunking.py | .py | """Unit tests for energy-aware audio chunking (long-audio transcription).
Whisper's encoder window is 30 s; longer audio must be split before
prompting. The splitter must cut at low-energy points (pauses) inside the
tail search window of each stride — never blindly at the stride boundary,
which could land mid-word — a... | 123 | 4,870 |
sglang | test/registered/unit/entrypoints/openai/test_serving_responses.py | .py | import asyncio
import unittest
from unittest.mock import Mock, patch
from openai.types.responses import (
ResponseOutputMessage,
ResponseOutputText,
ResponseReasoningItem,
)
from openai.types.responses.response_function_tool_call import ResponseFunctionToolCall
from utils import make_serving
from sglang.s... | 956 | 34,262 |
sglang | test/registered/unit/entrypoints/openai/test_exa_search.py | .py | import asyncio
import os
import unittest
from unittest.mock import patch
from utils import make_serving
from sglang.srt.entrypoints.openai.protocol import ResponsesRequest
from sglang.srt.entrypoints.openai.tool_server import NativeToolServer
from sglang.srt.entrypoints.search.exa_client import (
EXA_INTEGRATION_... | 304 | 10,756 |
sglang | test/registered/unit/entrypoints/openai/test_responses_protocol.py | .py | import json
import unittest
from utils import make_serving # noqa: F401 — bootstrap import
from sglang.srt.entrypoints.openai.protocol import (
PromptTokensDetails,
ResponsesRequest,
ResponsesResponse,
UsageInfo,
)
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils imp... | 411 | 15,520 |
sglang | test/registered/unit/entrypoints/anthropic/test_serving.py | .py | import asyncio
import json
import unittest
from types import SimpleNamespace
from sglang.test.test_utils import maybe_stub_sgl_kernel
maybe_stub_sgl_kernel() # must precede imports that may pull in sgl_kernel
from fastapi.responses import JSONResponse # noqa: E402
from jinja2 import Environment # noqa: E402
from... | 1,577 | 64,888 |
sglang | test/registered/unit/scripted_runtime/test_scripted_runtime_utils.py | .py | from __future__ import annotations
import json
import os
import sys
import unittest
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.scripted_runtime.utils import ensure_script_importable, resolve_fn
from sglang.test.test_utils import CustomTestCase
register_cpu_ci(est_time=2, suite="base-a-te... | 80 | 2,371 |
sglang | test/registered/unit/scripted_runtime/test_background_http_poster.py | .py | from __future__ import annotations
import asyncio
import threading
import unittest
from concurrent.futures import Future
from unittest.mock import MagicMock
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.scripted_runtime import background_http_poster as bg_poster
from sglang.test.scripted_run... | 181 | 5,778 |
sglang | test/registered/unit/scripted_runtime/test_tokenizer_recv_proxy.py | .py | from __future__ import annotations
from collections import deque
from dataclasses import dataclass
import zmq
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.scripted_runtime.tokenizer_recv_proxy import (
ScriptedTokenizerRecvProxy,
)
from sglang.test.test_utils import CustomTestCase
reg... | 160 | 5,257 |
sglang | test/registered/unit/scripted_runtime/test_http_server.py | .py | from __future__ import annotations
import threading
import unittest
import uuid
import zmq
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.scripted_runtime.http_server import ScriptedHttpServer
from sglang.test.scripted_runtime.io_struct import (
HookReady,
RunScript,
ScriptFailed... | 151 | 5,007 |
sglang | test/registered/unit/scripted_runtime/test_scheduler_hook.py | .py | from __future__ import annotations
import unittest
from unittest.mock import MagicMock
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.scripted_runtime import scheduler_hook
from sglang.test.test_utils import CustomTestCase
register_cpu_ci(est_time=10, suite="base-a-test-cpu")
def _yielding... | 57 | 1,583 |
sglang | test/registered/unit/distributed/test_cuda_wrapper.py | .py | import io
import pytest
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=2, suite="base-a-test-cpu")
from sglang.srt.distributed.device_communicators import cuda_wrapper
def test_find_loaded_library_prefers_real_cudart_over_tilelang_stub(monkeypatch):
maps = """\
7f000000-7f0100... | 39 | 1,093 |
sglang | test/registered/unit/distributed/test_parallel_state.py | .py | """
Test file to verify the correctness of parallel group calculations.
This test validates that the parallel group initialization creates the correct
groups for different parallelism configurations including:
- Tensor parallelism (TP)
- Pipeline parallelism (PP)
- Attention context parallelism (attn_cp)
- Attention d... | 359 | 12,838 |
sglang | test/registered/unit/distributed/test_get_default_distributed_backend.py | .py | """Unit tests for sglang.srt.distributed.parallel_state — no server, no model loading."""
import unittest
import sglang.srt.platforms as platforms_mod
from sglang.srt.distributed.parallel_state import get_default_distributed_backend
from sglang.srt.platforms.interface import SRTPlatform
from sglang.test.ci.ci_registe... | 78 | 3,182 |
sglang | test/registered/unit/batch_invariant_ops/test_batch_invariant_ops.py | .py | # Adapted from https://github.com/thinking-machines-lab/batch_invariant_ops/blob/main/test_batch_invariance.py
import math
import unittest
import torch
from sglang.srt.batch_invariant_ops import batch_invariant_ops
from sglang.srt.batch_invariant_ops.batch_invariant_ops import set_batch_invariant_mode
from sglang.tes... | 250 | 9,992 |
sglang | test/registered/unit/model_executor/test_prefill_cuda_graph_runner.py | .py | """CPU coverage for chunked-prefix Full prefill CUDA-graph state."""
import unittest
from types import SimpleNamespace
from unittest.mock import patch
import torch
import sglang.srt.model_executor.model_runner_components.cuda_graph_setup as graph_setup
import sglang.srt.model_executor.runner.prefill_cuda_graph_runne... | 355 | 13,620 |
sglang | test/registered/unit/model_executor/test_prefill_cuda_graph_runner_helpers.py | .py | """Unit tests for prefill CUDA graph wrapper helpers."""
import unittest
from types import SimpleNamespace
from sglang.srt.model_executor.runner.prefill_cuda_graph_runner import (
_resolve_transformer_layer_model,
)
from sglang.srt.model_loader.utils import resolve_language_model
from sglang.test.ci.ci_register i... | 64 | 2,260 |
sglang | test/registered/unit/model_executor/test_chunked_prefix_cache_gate.py | .py | """The load-time chunked-prefix gate must land on the published config bag.
Regression: the gate wrote the ServerArgs instance while every attention
backend reads ``get_schedule().disable_chunked_prefix_cache`` — the bag never
saw the flip, so an unsupported backend kept chunked prefix enabled.
"""
from sglang.test.c... | 67 | 3,017 |
sglang | test/registered/unit/model_executor/test_cuda_graph_buffer_registry.py | .py | """Unit tests for ``cuda_graph_buffer_registry`` — CPU-only.
Covers:
* ``GraphSlot`` shape / axis / device validation.
* ``register_slot`` allocation + ``FILL_SENTINEL`` init.
* ``fill_from`` D2D copy across all four ``PaddingPolicy`` modes.
* ``extract_buffer`` returns a ``ForwardBatch`` view backed by slot
... | 1,419 | 55,206 |
sglang | test/registered/unit/model_executor/test_hisparse_pool_configurator.py | .py | import unittest
from types import SimpleNamespace
from unittest.mock import MagicMock
import torch
from sglang.srt.model_executor.pool_configurator import DefaultPoolConfigurator
from sglang.srt.runtime_context import get_parallel
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils impo... | 77 | 2,646 |
sglang | test/registered/unit/model_executor/test_pool_configurator.py | .py | """Unit tests for pool_configurator.py -- CPU only, no GPU required.
Tests the end-to-end computation: available_bytes -> MemoryPoolConfig,
verifying tokens are correct, constraints are respected, and memory
invariants hold (tokens * per_token_cost <= available_bytes).
"""
import contextlib
import unittest
from types... | 770 | 29,621 |
sglang | test/registered/unit/model_executor/test_forward_metadata_plan_record.py | .py | """Unit tests for the ForwardBatch attention plan marker / plan record.
Covers the contract behind ``skip_attn_backend_init`` deprecation:
* fresh batches need planning; marked batches don't
* the plan record (planned bs / num tokens) snapshots mark-time shapes
* reshape after marking triggers a re-plan only for... | 128 | 5,189 |
sglang | test/registered/unit/model_executor/test_mlp_sync_pad_unpad.py | .py | """Unit tests for the DP-attention MLP-sync pad/unpad round-trip.
``prepare_mlp_sync_batch`` pads per-request tensors (positions / seq_lens /
req_pool_indices) by appending dummy rows after the real ones so all DP ranks
agree on tensor shapes. ``post_forward_mlp_sync_batch`` must slice them back so
post-forward consum... | 176 | 6,955 |
sglang | test/registered/unit/model_executor/runner/test_decode_cuda_graph_runner.py | .py | """Unit tests for ``DecodeCudaGraphRunner`` capture-phase profiling — CPU-only.
Two capture-trace modes plus their precedence:
* **Original single-trace** (``SGLANG_ENABLE_CUDA_GRAPH_CAPTURE_TRACE``):
``_init_profile_context_and_memory_record`` builds an *unscheduled* profiler
(``record_shapes`` only, no sc... | 295 | 13,009 |
sglang | test/registered/unit/model_executor/runner/test_prefill_cuda_graph_padding.py | .py | import unittest
from types import SimpleNamespace
from sglang.srt.model_executor.cuda_graph_config import Backend
from sglang.srt.model_executor.forward_batch_info import (
CaptureHiddenMode,
ForwardMode,
)
from sglang.srt.model_executor.runner.prefill_cuda_graph_runner import (
PrefillCudaGraphRunner,
)
f... | 58 | 1,875 |
sglang | test/registered/unit/model_executor/runner/test_decode_cuda_graph_shared_read_fence.py | .py | import contextlib
from types import SimpleNamespace
import pytest
import torch
from sglang.srt.layers.attention.base_attn_backend import SharedReadBoundary
from sglang.srt.model_executor.forward_batch_info import ForwardMode, PPProxyTensors
from sglang.srt.model_executor.runner.decode_cuda_graph_runner import (
D... | 137 | 4,653 |
sglang | test/registered/unit/model_executor/runner/test_prefill_shared_read_done.py | .py | from types import SimpleNamespace
import pytest
from sglang.srt.environ import envs
from sglang.srt.layers.attention.base_attn_backend import SharedReadBoundary
from sglang.srt.model_executor.forward_batch_info import ForwardMode
from sglang.srt.model_executor.runner_utils import (
maybe_publish_prefill_shared_re... | 76 | 2,714 |
sglang | test/registered/unit/model_executor/runner/test_hidden_state_graph_recapture.py | .py | import unittest
from types import SimpleNamespace
from unittest.mock import Mock
from sglang.srt.model_executor.cpu_graph_runner import CPUGraphRunner
from sglang.srt.model_executor.cuda_graph_config import Backend
from sglang.srt.model_executor.forward_batch_info import (
CaptureHiddenMode,
ForwardMode,
g... | 172 | 6,168 |
sglang | test/registered/unit/model_executor/runner_backend/test_full_cuda_graph_backend.py | .py | """Unit tests for ``FullCudaGraphBackend.capture_one`` profiling hooks — CPU-only.
These cover the changes from the "cuda graph profile traces" PR that wire the
runner's torch profiler into the capture loop:
* When profiling is disabled, ``capture_one`` runs exactly two warmups + one
capture and never touches a... | 163 | 6,440 |
sglang | test/registered/unit/model_executor/model_runner_components/test_cuda_graph_setup.py | .py | import sys
from types import SimpleNamespace
import pytest
from sglang.srt.model_executor.model_runner_components import cuda_graph_setup
from sglang.srt.model_executor.model_runner_components.cuda_graph_setup import (
capture_decode_graph,
)
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci... | 54 | 1,713 |
sglang | test/registered/unit/model_executor/model_runner_components/test_layer_setup.py | .py | """Unit tests for model-runner layer discovery."""
import unittest
from types import SimpleNamespace
from sglang.srt.model_executor.model_runner_components.layer_setup import (
compute_attention_and_moe_layers,
)
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=1, suite="base-a-tes... | 37 | 1,095 |
sglang | test/registered/unit/model_executor/model_runner_components/test_attention_backend_setup.py | .py | import sys
from types import SimpleNamespace
from unittest.mock import patch
import pytest
from sglang.srt.layers.attention.hybrid_attn_backend import HybridAttnBackend
from sglang.srt.model_executor.model_runner_components import (
attention_backend_setup,
)
from sglang.srt.model_executor.model_runner_components... | 74 | 2,332 |
sglang | test/registered/unit/model_executor/model_runner_components/test_ngram_embedding_manager.py | .py | """Unit tests for LongCat ngram token table updates."""
import unittest
from types import SimpleNamespace
from unittest.mock import patch
import torch
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils import CustomTestCase, maybe_stub_sgl_kernel
maybe_stub_sgl_kernel()
from sglang.... | 129 | 4,969 |
sglang | test/registered/unit/model_executor/model_runner_components/test_startup_weight_load.py | .py | """Unit tests for the post-capture startup weight-loading component."""
import dataclasses
import re
import unittest
from types import SimpleNamespace
from unittest.mock import call, patch
import torch
from torch import nn
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils import Cust... | 744 | 25,263 |
sglang | test/registered/unit/model_loader/test_modelopt_loader.py | .py | """
Unit tests for ModelOptModelLoader class.
This test module verifies the functionality of ModelOptModelLoader, which
applies NVIDIA Model Optimizer quantization to models during loading.
"""
import unittest
from types import SimpleNamespace
from unittest.mock import MagicMock, patch
import torch
import torch.nn a... | 912 | 36,865 |
sglang | test/registered/unit/model_loader/test_runai_model_streamer_loader.py | .py | import concurrent.futures
import sys
import threading
import unittest
from types import SimpleNamespace
from typing import cast
from unittest.mock import patch
import torch
import sglang.srt.model_loader.loader as loader_mod
import sglang.srt.model_loader.utils as model_loader_utils
import sglang.srt.model_loader.wei... | 309 | 11,676 |
sglang | test/registered/unit/model_loader/test_presharded_loader.py | .py | """Unit tests for PreshardedModelLoader's pure helpers.
These tests exercise the deterministic pieces of the presharding algorithm
(tensor hashing, plan construction, file naming, dedup, file-size cap, and
per-rank workload balance) without needing a GPU or distributed setup.
"""
import json
import os
import tempfile... | 969 | 41,763 |
sglang | test/registered/unit/model_loader/test_weight_utils.py | .py | """Unit tests for srt/model_loader/weight_utils.py shard-index consistency."""
import json
import os
import tempfile
import unittest
from sglang.srt.model_loader.weight_utils import filter_duplicate_safetensors_files
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils import CustomTestC... | 89 | 2,893 |
sglang | test/registered/unit/model_loader/test_weight_cache_protocol.py | .py | """
CPU-only unit tests for the weight cache protocol layer.
These cover the pure-Python logic that the GPU end-to-end test
(test_weight_cache_daemon.py) cannot exercise cheaply:
- length-prefixed socket framing (send_msg/recv_msg) over socketpair()
- CacheConfig fingerprint matching / (de)serialization
- quant... | 367 | 13,241 |
sglang | test/registered/unit/model_loader/test_prefetch_checkpoints.py | .py | """
Unit tests for coordinated checkpoint prefetch.
Verifies that weights loaded with prefetch enabled are bit-identical
to weights loaded without prefetch.
"""
import os
import tempfile
import threading
import unittest
from concurrent.futures import Future
from types import SimpleNamespace
from unittest.mock import ... | 696 | 24,879 |
sglang | test/registered/unit/model_loader/test_modelopt_export.py | .py | """
Unit tests for ModelOpt export functionality in SGLang.
These tests verify the integration of ModelOpt export API with SGLang's model loading
and quantization workflow.
"""
import json
import os
import tempfile
import unittest
from unittest.mock import Mock, patch
import torch
from sglang.srt.configs.device_con... | 319 | 12,053 |
sglang | test/registered/unit/spec/test_dflash_overlap_hostsync.py | .py | """Unit tests for the DFlash spec-v2 host-sync removal: compact-rebuild
kernel bit-exactness, vocab-parallel draft sampler select, host seq-lens
upper bound, hybrid needs_cpu_seq_lens delegation, filter_batch host
keep-list."""
import unittest
from types import SimpleNamespace
import torch
from sglang.test.ci.ci_reg... | 280 | 11,101 |
sglang | test/registered/unit/spec/test_eagle_draft_cuda_graph_runner.py | .py | """Regression test for EAGLE draft CUDA graph seq_lens_sum padding.
This is a white-box unit test: it constructs a bare ``EAGLEDraftCudaGraphRunner``
via ``__new__`` and stubs the fields/methods that ``execute()`` touches, so the
padding bookkeeping can be exercised on CPU without a captured CUDA graph. It is
therefor... | 200 | 8,462 |
sglang | test/registered/unit/spec/test_decode_bookkeeping_ownership.py | .py | """Ownership contract for per-request bookkeeping clocks.
Per-request accounting state (`decode_batch_idx` / `extend_batch_idx` iter
clocks, `kv_committed_len` / `kv_allocated_len` KV watermarks,
`spec_verify_ct`, and the `maybe_evict_swa()` call) must only be advanced by
the reviewed owner sites in _OWNER_SITES; spec... | 240 | 9,452 |
sglang | test/registered/unit/spec/test_decoupled_spec_io.py | .py | """Unit tests for srt/speculative/decoupled_spec_io.
decoupled_spec_io is the schema-only IPC layer for decoupled speculative
decoding: protocol message dataclasses, the cross-process request id codec, and
the drafter-side reconciliation helpers. These tests drive the real logic (id
round-trip + parse errors, commit v... | 273 | 11,351 |
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