-
Notifications
You must be signed in to change notification settings - Fork 14
/
CMakeLists.txt
315 lines (274 loc) · 9.6 KB
/
CMakeLists.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
cmake_minimum_required(VERSION 3.21)
project(vllm_extensions LANGUAGES CXX)
option(VLLM_TARGET_DEVICE "Target device backend for vLLM" "cuda")
message(STATUS "Build type: ${CMAKE_BUILD_TYPE}")
message(STATUS "Target device: ${VLLM_TARGET_DEVICE}")
include(${CMAKE_CURRENT_LIST_DIR}/cmake/utils.cmake)
#
# Supported python versions. These versions will be searched in order, the
# first match will be selected. These should be kept in sync with setup.py.
#
set(PYTHON_SUPPORTED_VERSIONS "3.8" "3.9" "3.10" "3.11")
# Supported NVIDIA architectures.
set(CUDA_SUPPORTED_ARCHS "7.0;7.5;8.0;8.6;8.9;9.0")
# Supported AMD GPU architectures.
set(HIP_SUPPORTED_ARCHS "gfx906;gfx908;gfx90a;gfx940;gfx941;gfx942;gfx1030;gfx1100")
#
# Supported/expected torch versions for CUDA/ROCm.
#
# Currently, having an incorrect pytorch version results in a warning
# rather than an error.
#
# Note: the CUDA torch version is derived from pyproject.toml and various
# requirements.txt files and should be kept consistent. The ROCm torch
# versions are derived from Dockerfile.rocm
#
set(TORCH_SUPPORTED_VERSION_CUDA "2.3.0")
set(TORCH_SUPPORTED_VERSION_ROCM_5X "2.0.1")
set(TORCH_SUPPORTED_VERSION_ROCM_6X "2.1.1")
#
# Try to find python package with an executable that exactly matches
# `VLLM_PYTHON_EXECUTABLE` and is one of the supported versions.
#
if (VLLM_PYTHON_EXECUTABLE)
find_python_from_executable(${VLLM_PYTHON_EXECUTABLE} "${PYTHON_SUPPORTED_VERSIONS}")
else()
message(FATAL_ERROR
"Please set VLLM_PYTHON_EXECUTABLE to the path of the desired python version"
" before running cmake configure.")
endif()
#
# Update cmake's `CMAKE_PREFIX_PATH` with torch location.
#
append_cmake_prefix_path("torch" "torch.utils.cmake_prefix_path")
# Ensure the 'nvcc' command is in the PATH
find_program(NVCC_EXECUTABLE nvcc)
if (CUDA_FOUND AND NOT NVCC_EXECUTABLE)
message(FATAL_ERROR "nvcc not found")
endif()
#
# Import torch cmake configuration.
# Torch also imports CUDA (and partially HIP) languages with some customizations,
# so there is no need to do this explicitly with check_language/enable_language,
# etc.
#
find_package(Torch REQUIRED)
#
# Forward the non-CUDA device extensions to external CMake scripts.
#
if (NOT VLLM_TARGET_DEVICE STREQUAL "cuda" AND
NOT VLLM_TARGET_DEVICE STREQUAL "rocm")
if (VLLM_TARGET_DEVICE STREQUAL "cpu")
include(${CMAKE_CURRENT_LIST_DIR}/cmake/cpu_extension.cmake)
else()
message(FATAL_ERROR "Unsupported vLLM target device: ${VLLM_TARGET_DEVICE}")
endif()
return()
endif()
#
# Set up GPU language and check the torch version and warn if it isn't
# what is expected.
#
if (NOT HIP_FOUND AND CUDA_FOUND)
set(VLLM_GPU_LANG "CUDA")
if (NOT Torch_VERSION VERSION_EQUAL ${TORCH_SUPPORTED_VERSION_CUDA})
message(WARNING "Pytorch version ${TORCH_SUPPORTED_VERSION_CUDA} "
"expected for CUDA build, saw ${Torch_VERSION} instead.")
endif()
elseif(HIP_FOUND)
set(VLLM_GPU_LANG "HIP")
# Importing torch recognizes and sets up some HIP/ROCm configuration but does
# not let cmake recognize .hip files. In order to get cmake to understand the
# .hip extension automatically, HIP must be enabled explicitly.
enable_language(HIP)
# ROCm 5.x
if (ROCM_VERSION_DEV_MAJOR EQUAL 5 AND
NOT Torch_VERSION VERSION_EQUAL ${TORCH_SUPPORTED_VERSION_ROCM_5X})
message(WARNING "Pytorch version ${TORCH_SUPPORTED_VERSION_ROCM_5X} "
"expected for ROCMm 5.x build, saw ${Torch_VERSION} instead.")
endif()
# ROCm 6.x
if (ROCM_VERSION_DEV_MAJOR EQUAL 6 AND
NOT Torch_VERSION VERSION_EQUAL ${TORCH_SUPPORTED_VERSION_ROCM_6X})
message(WARNING "Pytorch version ${TORCH_SUPPORTED_VERSION_ROCM_6X} "
"expected for ROCMm 6.x build, saw ${Torch_VERSION} instead.")
endif()
else()
message(FATAL_ERROR "Can't find CUDA or HIP installation.")
endif()
#
# Override the GPU architectures detected by cmake/torch and filter them by
# the supported versions for the current language.
# The final set of arches is stored in `VLLM_GPU_ARCHES`.
#
override_gpu_arches(VLLM_GPU_ARCHES
${VLLM_GPU_LANG}
"${${VLLM_GPU_LANG}_SUPPORTED_ARCHS}")
#
# Query torch for additional GPU compilation flags for the given
# `VLLM_GPU_LANG`.
# The final set of arches is stored in `VLLM_GPU_FLAGS`.
#
get_torch_gpu_compiler_flags(VLLM_GPU_FLAGS ${VLLM_GPU_LANG})
#
# Set nvcc parallelism.
#
if(NVCC_THREADS AND VLLM_GPU_LANG STREQUAL "CUDA")
list(APPEND VLLM_GPU_FLAGS "--threads=${NVCC_THREADS}")
endif()
#
# Define extension targets
#
#
# _C extension
#
set(VLLM_EXT_SRC
"csrc/cache_kernels.cu"
"csrc/attention/attention_kernels.cu"
"csrc/pos_encoding_kernels.cu"
"csrc/activation_kernels.cu"
"csrc/layernorm_kernels.cu"
"csrc/quantization/squeezellm/quant_cuda_kernel.cu"
"csrc/quantization/gptq/q_gemm.cu"
"csrc/quantization/compressed_tensors/int8_quant_kernels.cu"
"csrc/quantization/fp8/common.cu"
"csrc/cuda_utils_kernels.cu"
"csrc/moe_align_block_size_kernels.cu"
"csrc/torch_bindings.cpp")
if(VLLM_GPU_LANG STREQUAL "CUDA")
include(FetchContent)
SET(CUTLASS_ENABLE_HEADERS_ONLY=ON)
FetchContent_Declare(
cutlass
GIT_REPOSITORY https://github.com/nvidia/cutlass.git
# CUTLASS 3.5.0
GIT_TAG 7d49e6c7e2f8896c47f586706e67e1fb215529dc
)
FetchContent_MakeAvailable(cutlass)
list(APPEND VLLM_EXT_SRC
"csrc/quantization/aqlm/gemm_kernels.cu"
"csrc/quantization/awq/gemm_kernels.cu"
"csrc/quantization/marlin/dense/marlin_cuda_kernel.cu"
"csrc/quantization/marlin/sparse/marlin_24_cuda_kernel.cu"
"csrc/quantization/gptq_marlin/gptq_marlin.cu"
"csrc/quantization/gptq_marlin/gptq_marlin_repack.cu"
"csrc/custom_all_reduce.cu"
"csrc/quantization/cutlass_w8a8/scaled_mm_entry.cu"
"csrc/quantization/cutlass_w8a8/scaled_mm_c2x.cu"
"csrc/quantization/cutlass_w8a8/scaled_mm_c3x.cu")
#
# The CUTLASS kernels for Hopper require sm90a to be enabled.
# This is done via the below gencode option, BUT that creates kernels for both sm90 and sm90a.
# That adds an extra 17MB to compiled binary, so instead we selectively enable it.
if(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER 12.0)
set_source_files_properties(
"csrc/quantization/cutlass_w8a8/scaled_mm_c3x.cu"
PROPERTIES
COMPILE_FLAGS
"-gencode arch=compute_90a,code=sm_90a")
endif()
endif()
define_gpu_extension_target(
_C
DESTINATION vllm
LANGUAGE ${VLLM_GPU_LANG}
SOURCES ${VLLM_EXT_SRC}
COMPILE_FLAGS ${VLLM_GPU_FLAGS}
ARCHITECTURES ${VLLM_GPU_ARCHES}
INCLUDE_DIRECTORIES ${CUTLASS_INCLUDE_DIR};${CUTLASS_TOOLS_UTIL_INCLUDE_DIR}
USE_SABI 3
WITH_SOABI)
#
# _moe_C extension
#
set(VLLM_MOE_EXT_SRC
"csrc/moe/torch_bindings.cpp"
"csrc/moe/topk_softmax_kernels.cu")
define_gpu_extension_target(
_moe_C
DESTINATION vllm
LANGUAGE ${VLLM_GPU_LANG}
SOURCES ${VLLM_MOE_EXT_SRC}
COMPILE_FLAGS ${VLLM_GPU_FLAGS}
ARCHITECTURES ${VLLM_GPU_ARCHES}
USE_SABI 3
WITH_SOABI)
#
# _punica_C extension
#
set(VLLM_PUNICA_EXT_SRC
"csrc/punica/bgmv/bgmv_bf16_bf16_bf16.cu"
"csrc/punica/bgmv/bgmv_bf16_fp32_bf16.cu"
"csrc/punica/bgmv/bgmv_fp16_fp16_fp16.cu"
"csrc/punica/bgmv/bgmv_fp16_fp32_fp16.cu"
"csrc/punica/bgmv/bgmv_fp32_bf16_bf16.cu"
"csrc/punica/bgmv/bgmv_fp32_fp16_fp16.cu"
"csrc/punica/punica_ops.cu"
"csrc/punica/torch_bindings.cpp")
#
# Copy GPU compilation flags+update for punica
#
set(VLLM_PUNICA_GPU_FLAGS ${VLLM_GPU_FLAGS})
list(REMOVE_ITEM VLLM_PUNICA_GPU_FLAGS
"-D__CUDA_NO_HALF_OPERATORS__"
"-D__CUDA_NO_HALF_CONVERSIONS__"
"-D__CUDA_NO_BFLOAT16_CONVERSIONS__"
"-D__CUDA_NO_HALF2_OPERATORS__")
#
# Filter out CUDA architectures < 8.0 for punica.
#
if (${VLLM_GPU_LANG} STREQUAL "CUDA")
set(VLLM_PUNICA_GPU_ARCHES)
foreach(ARCH ${VLLM_GPU_ARCHES})
string_to_ver(CODE_VER ${ARCH})
if (CODE_VER GREATER_EQUAL 8.0)
list(APPEND VLLM_PUNICA_GPU_ARCHES ${ARCH})
endif()
endforeach()
message(STATUS "Punica target arches: ${VLLM_PUNICA_GPU_ARCHES}")
elseif(${VLLM_GPU_LANG} STREQUAL "HIP")
set(VLLM_PUNICA_GPU_ARCHES ${VLLM_GPU_ARCHES})
message(STATUS "Punica target arches: ${VLLM_PUNICA_GPU_ARCHES}")
endif()
if (VLLM_PUNICA_GPU_ARCHES)
define_gpu_extension_target(
_punica_C
DESTINATION vllm
LANGUAGE ${VLLM_GPU_LANG}
SOURCES ${VLLM_PUNICA_EXT_SRC}
COMPILE_FLAGS ${VLLM_PUNICA_GPU_FLAGS}
ARCHITECTURES ${VLLM_PUNICA_GPU_ARCHES}
USE_SABI 3
WITH_SOABI)
else()
message(WARNING "Unable to create _punica_C target because none of the "
"requested architectures (${VLLM_GPU_ARCHES}) are supported, i.e. >= 8.0")
endif()
#
# Add the `default` target which detects which extensions should be
# built based on platform/architecture. This is the same logic that
# setup.py uses to select which extensions should be built and should
# be kept in sync.
#
# The `default` target makes direct use of cmake easier since knowledge
# of which extensions are supported has been factored in, e.g.
#
# mkdir build && cd build
# cmake -G Ninja -DVLLM_PYTHON_EXECUTABLE=`which python3` -DCMAKE_LIBRARY_OUTPUT_DIRECTORY=../vllm ..
# cmake --build . --target default
#
add_custom_target(default)
if(VLLM_GPU_LANG STREQUAL "CUDA" OR VLLM_GPU_LANG STREQUAL "HIP")
message(STATUS "Enabling C extension.")
add_dependencies(default _C)
message(STATUS "Enabling moe extension.")
add_dependencies(default _moe_C)
# Enable punica if -DVLLM_INSTALL_PUNICA_KERNELS=ON or
# VLLM_INSTALL_PUNICA_KERNELS is set in the environment and
# there are supported target arches.
if (VLLM_PUNICA_GPU_ARCHES AND
(ENV{VLLM_INSTALL_PUNICA_KERNELS} OR VLLM_INSTALL_PUNICA_KERNELS))
message(STATUS "Enabling punica extension.")
add_dependencies(default _punica_C)
endif()
endif()