| 4 |
4 |
EAPI=8
|
| 5 |
5 |
|
| 6 |
6 |
DISTUTILS_USE_PEP517=setuptools
|
| 7 |
|
PYTHON_COMPAT=( python3_{11..14} )
|
|
7 |
PYTHON_COMPAT=( python3_{12..14} )
|
| 8 |
8 |
DISTUTILS_SINGLE_IMPL=1
|
| 9 |
9 |
DISTUTILS_EXT=1
|
| 10 |
|
inherit distutils-r1 prefix
|
| 11 |
10 |
|
| 12 |
|
DESCRIPTION="Tensors and Dynamic neural networks in Python"
|
|
11 |
ROCM_VERSION=6.1
|
|
12 |
inherit distutils-r1 prefix cuda flag-o-matic rocm multiprocessing
|
|
13 |
|
|
14 |
# pytorch-2.13.0 depends on specific commit of composable kernel
|
|
15 |
# TODO: replace it with DEPEND in the future
|
|
16 |
CK_COMMIT=f1746955fdaf80a3414de814bf32437686dac347
|
|
17 |
CK_P=composable_kernel-${CK_COMMIT:0:8}
|
|
18 |
|
|
19 |
# Starting from 2.7.0 pytorch moved flash attention out-of-tree,
|
|
20 |
# but hardcoded it as third_party subproject
|
|
21 |
# TODO: unbundle
|
|
22 |
FLASH_PV=2.7.4
|
|
23 |
FLASH_PN=flash-attention
|
|
24 |
FLASH_P=${FLASH_PN}-${FLASH_PV}
|
|
25 |
FLASH_ATT_URI="https://github.com/Dao-AILab/${FLASH_PN}/archive/refs/tags/v${FLASH_PV}.tar.gz -> ${FLASH_P}.gh.tar.gz"
|
|
26 |
|
|
27 |
DESCRIPTION="Tensors and Dynamic neural networks in Python with strong GPU acceleration"
|
| 13 |
28 |
HOMEPAGE="https://pytorch.org/"
|
| 14 |
29 |
SRC_URI="https://github.com/pytorch/${PN}/archive/refs/tags/v${PV}.tar.gz
|
| 15 |
|
-> ${P}.tar.gz"
|
|
30 |
-> ${P}.tar.gz
|
|
31 |
rocm? (
|
|
32 |
https://github.com/ROCm/composable_kernel/archive/${CK_COMMIT}.tar.gz
|
|
33 |
-> ${CK_P}.tar.gz
|
|
34 |
)
|
|
35 |
cuda? (
|
|
36 |
flash? ( ${FLASH_ATT_URI} )
|
|
37 |
memefficient? ( ${FLASH_ATT_URI} )
|
|
38 |
)
|
|
39 |
"
|
| 16 |
40 |
|
| 17 |
41 |
LICENSE="BSD"
|
| 18 |
42 |
SLOT="0"
|
| 19 |
43 |
KEYWORDS="~amd64 ~arm64"
|
|
44 |
IUSE="cuda cusparselt distributed fbgemm flash gloo kineto memefficient
|
|
45 |
mimalloc mkl mpi nccl nnpack +numpy onednn openblas opencl openmp qnnpack
|
|
46 |
rocm xnnpack"
|
| 20 |
47 |
RESTRICT="test"
|
| 21 |
48 |
|
| 22 |
|
REQUIRED_USE=${PYTHON_REQUIRED_USE}
|
|
49 |
REQUIRED_USE="
|
|
50 |
${PYTHON_REQUIRED_USE}
|
|
51 |
mpi? ( distributed )
|
|
52 |
gloo? ( distributed )
|
|
53 |
?? ( cuda rocm )
|
|
54 |
rocm? (
|
|
55 |
|| ( ${ROCM_REQUIRED_USE} )
|
|
56 |
memefficient? ( flash )
|
|
57 |
)
|
|
58 |
cusparselt? ( || ( cuda rocm ) )
|
|
59 |
flash? ( || ( cuda rocm ) )
|
|
60 |
memefficient? ( || ( cuda rocm ) )
|
|
61 |
nccl? ( rocm )
|
|
62 |
"
|
|
63 |
|
| 23 |
64 |
RDEPEND="
|
| 24 |
65 |
${PYTHON_DEPS}
|
| 25 |
|
~sci-ml/caffe2-${PV}[${PYTHON_SINGLE_USEDEP}]
|
|
66 |
!sci-ml/caffe2
|
|
67 |
dev-cpp/abseil-cpp:=
|
|
68 |
dev-cpp/gflags:=
|
|
69 |
>=dev-cpp/glog-0.6.0:=
|
|
70 |
>=dev-libs/cpuinfo-2025.11.14
|
|
71 |
dev-libs/libfmt:=
|
|
72 |
dev-libs/protobuf:=
|
|
73 |
dev-libs/sleef
|
|
74 |
sci-ml/onnx
|
| 26 |
75 |
$(python_gen_cond_dep '
|
| 27 |
76 |
dev-python/sympy[${PYTHON_USEDEP}]
|
| 28 |
77 |
dev-python/typing-extensions[${PYTHON_USEDEP}]
|
| 29 |
78 |
')
|
|
79 |
!mkl? ( !openblas? ( virtual/blas ) )
|
|
80 |
cuda? (
|
|
81 |
dev-libs/cudnn
|
|
82 |
>=sci-ml/cudnn-frontend-1.12.0:=
|
|
83 |
>=dev-util/nvidia-cuda-toolkit-12.9:=[profiler]
|
|
84 |
cusparselt? ( dev-libs/cusparselt )
|
|
85 |
)
|
|
86 |
distributed? (
|
|
87 |
!rocm? ( sci-ml/tensorpipe[cuda?] )
|
|
88 |
dev-cpp/cpp-httplib:=
|
|
89 |
)
|
|
90 |
fbgemm? ( >=sci-ml/FBGEMM-1.4 )
|
|
91 |
gloo? ( >=sci-ml/gloo-2025.06.04[cuda?,rocm?] )
|
|
92 |
kineto? ( ~sci-ml/kineto-0.4.0_p20260603 )
|
|
93 |
mimalloc? ( dev-libs/mimalloc )
|
|
94 |
mkl? ( sci-libs/mkl )
|
|
95 |
mpi? ( virtual/mpi )
|
|
96 |
nnpack? (
|
|
97 |
sci-ml/NNPACK
|
|
98 |
dev-libs/pthreadpool
|
|
99 |
)
|
|
100 |
numpy? ( $(python_gen_cond_dep '
|
|
101 |
dev-python/numpy[${PYTHON_USEDEP}]
|
|
102 |
') )
|
|
103 |
onednn? ( sci-ml/oneDNN )
|
|
104 |
openblas? ( sci-libs/openblas )
|
|
105 |
opencl? ( virtual/opencl )
|
|
106 |
qnnpack? (
|
|
107 |
!sci-libs/QNNPACK
|
|
108 |
sci-ml/gemmlowp
|
|
109 |
dev-libs/pthreadpool
|
|
110 |
)
|
|
111 |
rocm? (
|
|
112 |
nccl? ( >=dev-libs/rccl-6.3:= <dev-libs/rccl-7.3:= )
|
|
113 |
>=dev-util/hip-6.3:= <dev-util/hip-7.3:=
|
|
114 |
>=dev-util/roctracer-6.3:= <dev-util/roctracer-7.3:=
|
|
115 |
>=sci-libs/hipBLAS-6.3:= <sci-libs/hipBLAS-7.3:=[rocsolver(+)]
|
|
116 |
>=sci-libs/hipBLASLt-6.3:= <sci-libs/hipBLASLt-7.3:=
|
|
117 |
>=sci-libs/hipFFT-6.3:= <sci-libs/hipFFT-7.3:=
|
|
118 |
>=sci-libs/hipRAND-6.3:= <sci-libs/hipRAND-7.3:=
|
|
119 |
>=sci-libs/hipSOLVER-6.3:= <sci-libs/hipSOLVER-7.3:=
|
|
120 |
>=sci-libs/hipSPARSE-6.3:= <sci-libs/hipSPARSE-7.3:=
|
|
121 |
>=sci-libs/miopen-6.3:= <sci-libs/miopen-7.3:=
|
|
122 |
>=sci-libs/rocBLAS-6.3:= <sci-libs/rocBLAS-7.3:=
|
|
123 |
>=sci-libs/rocRAND-6.3:= <sci-libs/rocRAND-7.3:=
|
|
124 |
>=sci-libs/rocSOLVER-6.3:= <sci-libs/rocSOLVER-7.3:=
|
|
125 |
memefficient? ( =sci-libs/aotriton-bin-0.13*:= )
|
|
126 |
distributed? (
|
|
127 |
>=dev-util/rocm-smi-6.3:= <dev-util/rocm-smi-7.3:=
|
|
128 |
>=dev-util/amdsmi-6.3:= <dev-util/amdsmi-7.3:=
|
|
129 |
)
|
|
130 |
cusparselt? ( >=sci-libs/hipsparselt-6.3:= <sci-libs/hipsparselt-7.3:= )
|
|
131 |
)
|
|
132 |
xnnpack? (
|
|
133 |
>=sci-ml/XNNPACK-2024.11
|
|
134 |
dev-libs/pthreadpool
|
|
135 |
)
|
| 30 |
136 |
"
|
| 31 |
|
DEPEND="${RDEPEND}
|
|
137 |
|
|
138 |
DEPEND="
|
|
139 |
${RDEPEND}
|
|
140 |
dev-cpp/nlohmann_json
|
|
141 |
dev-libs/flatbuffers
|
|
142 |
dev-libs/FXdiv
|
|
143 |
dev-libs/pocketfft
|
|
144 |
dev-libs/psimd
|
|
145 |
sci-ml/FP16
|
| 32 |
146 |
$(python_gen_cond_dep '
|
|
147 |
<dev-python/pybind11-3.0.5[${PYTHON_USEDEP}]
|
| 33 |
148 |
dev-python/pyyaml[${PYTHON_USEDEP}]
|
|
149 |
dev-python/typing-extensions[${PYTHON_USEDEP}]
|
| 34 |
150 |
')
|
|
151 |
cuda? ( ~dev-libs/cutlass-4.4.2[tools(+)] )
|
|
152 |
onednn? ( sci-ml/ideep )
|
|
153 |
rocm? (
|
|
154 |
>=sci-libs/hipCUB-6.3:= <sci-libs/hipCUB-7.3:=
|
|
155 |
>=sci-libs/rocPRIM-6.3:= <sci-libs/rocPRIM-7.3:=
|
|
156 |
>=sci-libs/rocThrust-6.3:= <sci-libs/rocThrust-7.3:=
|
|
157 |
)
|
|
158 |
qnnpack? ( dev-libs/clog )
|
| 35 |
159 |
"
|
| 36 |
160 |
|
|
161 |
BDEPEND="dev-build/cmake"
|
|
162 |
|
| 37 |
163 |
PATCHES=(
|
| 38 |
|
"${FILESDIR}"/${PN}-2.9.0-dontbuildagain.patch
|
| 39 |
|
"${FILESDIR}"/${PN}-2.10.0-cpp-extension-multilib.patch
|
|
164 |
"${FILESDIR}"/${P}-aotriton-fixes.patch
|
|
165 |
"${FILESDIR}"/${P}-glog.patch
|
|
166 |
"${FILESDIR}"/${P}-removekineto-pr178960.patch
|
|
167 |
"${FILESDIR}"/${P}-rocm-assert-fix.patch
|
|
168 |
"${FILESDIR}"/${P}-unbundle_fbgemm.patch
|
|
169 |
"${FILESDIR}"/${P}-unbundle_flatbuffers.patch
|
|
170 |
"${FILESDIR}"/${P}-unbundle_fmt.patch
|
|
171 |
"${FILESDIR}"/${P}-unbundle_fxdiv.patch
|
|
172 |
"${FILESDIR}"/${P}-unbundle_httplib.patch
|
|
173 |
"${FILESDIR}"/${P}-unbundle_kineto.patch
|
|
174 |
"${FILESDIR}"/${P}-unbundle_mkldnn.patch
|
|
175 |
"${FILESDIR}"/${P}-unbundle_nnpack.patch
|
|
176 |
"${FILESDIR}"/${P}-unbundle_pocketfft.patch
|
|
177 |
"${FILESDIR}"/${P}-xnnpack.patch
|
| 40 |
178 |
)
|
| 41 |
179 |
|
| 42 |
180 |
src_prepare() {
|
|
181 |
if use cuda && ( use flash || use memefficient ); then
|
|
182 |
mv "${WORKDIR}"/${FLASH_P}/* third_party/${FLASH_PN}/ || die
|
|
183 |
fi
|
|
184 |
filter-lto #bug 862672
|
|
185 |
|
|
186 |
eapply "${FILESDIR}/${PN}-2.10.0-cpp-extension-multilib.patch"
|
| 43 |
187 |
# Replace placeholders added by cpp-extension.patch
|
| 44 |
188 |
sed -e "s|%LIB_DIR%|$(get_libdir)|g" \
|
| 45 |
189 |
-i torch/utils/cpp_extension.py || die
|
| 46 |
190 |
|
| 47 |
|
# Set build dir for pytorch's setup
|
| 48 |
|
sed -e "/BUILD_DIR/s|build|/var/lib/caffe2/|" \
|
| 49 |
|
-i tools/setup_helpers/env.py || die
|
| 50 |
|
|
| 51 |
|
# Drop legacy from pyproject.toml
|
| 52 |
|
sed -e "/build-backend/s|:__legacy__||" \
|
| 53 |
|
-i pyproject.toml || die
|
|
191 |
# Unbundle fmt
|
|
192 |
sed -i \
|
|
193 |
-e 's|::fmt-header-only||' \
|
|
194 |
c10/CMakeLists.txt \
|
|
195 |
cmake/Dependencies.cmake \
|
|
196 |
torch/CMakeLists.txt \
|
|
197 |
|| die
|
|
198 |
|
|
199 |
# tensorpipe is in system, not a build target of pytorch
|
|
200 |
sed -e '/target_compile_options_if_supported(tensorpipe/d' -i cmake/Dependencies.cmake || die
|
|
201 |
|
|
202 |
# Drop third_party from CMake tree
|
|
203 |
sed -i \
|
|
204 |
-e '/add_subdirectory.*third_party/d' \
|
|
205 |
CMakeLists.txt \
|
|
206 |
cmake/Dependencies.cmake \
|
|
207 |
cmake/ProtoBuf.cmake \
|
|
208 |
aten/src/ATen/CMakeLists.txt \
|
|
209 |
|| die
|
|
210 |
|
|
211 |
# Add needed file for cutlass as symbolic link
|
|
212 |
ln -sf /usr/share/cutlass/examples third_party/cutlass/examples || die
|
|
213 |
|
|
214 |
# cudnn_frontend is unbundled, but some targets still look for its
|
|
215 |
# headers under third_party/cudnn_frontend/include.
|
|
216 |
mkdir -p third_party/cudnn_frontend || die
|
|
217 |
ln -sf /usr/include third_party/cudnn_frontend/include || die
|
| 54 |
218 |
|
| 55 |
219 |
distutils-r1_src_prepare
|
| 56 |
220 |
|
| 57 |
|
hprefixify tools/setup_helpers/env.py
|
|
221 |
# Noisy warnings from Logging.h
|
|
222 |
sed -i 's/-Wextra-semi//' cmake/public/utils.cmake || die
|
|
223 |
|
|
224 |
pushd torch/csrc/jit/serialization > /dev/null || die
|
|
225 |
flatc --cpp --gen-mutable --scoped-enums mobile_bytecode.fbs || die
|
|
226 |
popd > /dev/null || die
|
|
227 |
|
|
228 |
# prefixify the hardcoded paths, after all patches are applied
|
|
229 |
hprefixify \
|
|
230 |
aten/CMakeLists.txt \
|
|
231 |
caffe2/CMakeLists.txt \
|
|
232 |
cmake/Metal.cmake \
|
|
233 |
cmake/Modules/*.cmake \
|
|
234 |
cmake/Modules_CUDA_fix/FindCUDNN.cmake \
|
|
235 |
cmake/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake \
|
|
236 |
cmake/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake \
|
|
237 |
cmake/public/LoadHIP.cmake \
|
|
238 |
cmake/public/cuda.cmake \
|
|
239 |
cmake/Dependencies.cmake \
|
|
240 |
tools/setup_helpers/env.py \
|
|
241 |
torch/CMakeLists.txt \
|
|
242 |
CMakeLists.txt
|
|
243 |
|
|
244 |
if use rocm; then
|
|
245 |
# TODO: delete, when caffe2 depends on systemwide composable_kernel
|
|
246 |
sed -e "s:third_party/composable_kernel:../composable_kernel-${CK_COMMIT}:g" \
|
|
247 |
-i aten/src/ATen/CMakeLists.txt || die
|
|
248 |
|
|
249 |
# Workaround for libc++ issue https://github.com/llvm/llvm-project/issues/100802
|
|
250 |
sed -e 's/std::memcpy/memcpy/g' \
|
|
251 |
-i torch/headeronly/util/Half.h \
|
|
252 |
-i aten/src/ATen/native/cuda/int4mm.cu || die
|
|
253 |
|
|
254 |
ebegin "HIPifying cuda sources"
|
|
255 |
FBCODE_BUILD_TOOL="buck" ${EPYTHON} tools/amd_build/build_amd.py || die
|
|
256 |
eend $?
|
|
257 |
fi
|
| 58 |
258 |
}
|
| 59 |
259 |
|
| 60 |
|
python_compile() {
|
| 61 |
|
PYTORCH_BUILD_VERSION=${PV} \
|
| 62 |
|
PYTORCH_BUILD_NUMBER=0 \
|
| 63 |
|
USE_SYSTEM_LIBS=ON \
|
| 64 |
|
CMAKE_BUILD_DIR="${BUILD_DIR}" \
|
| 65 |
|
distutils-r1_python_compile develop sdist
|
|
260 |
src_configure() {
|
|
261 |
if use cuda && [[ -z ${TORCH_CUDA_ARCH_LIST} ]]; then
|
|
262 |
ewarn "WARNING: pytorch is being built with its default CUDA compute capabilities: 3.5 and 7.0."
|
|
263 |
ewarn "These may not be optimal for your GPU."
|
|
264 |
ewarn ""
|
|
265 |
ewarn "To configure pytorch with the CUDA compute capability that is optimal for your GPU,"
|
|
266 |
ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and re-emerge pytorch."
|
|
267 |
ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TORCH_CUDA_ARCH_LIST=7.5 3.5"
|
|
268 |
ewarn "For a Maxwell model GPU, an example value would be: TORCH_CUDA_ARCH_LIST=Maxwell"
|
|
269 |
ewarn ""
|
|
270 |
ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus"
|
|
271 |
ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'"
|
|
272 |
fi
|
| 66 |
273 |
}
|
| 67 |
274 |
|
| 68 |
|
python_install() {
|
| 69 |
|
USE_SYSTEM_LIBS=ON distutils-r1_python_install
|
|
275 |
python_compile() {
|
|
276 |
local -x BUILD_TEST=OFF
|
|
277 |
local -x CMAKE_BUILD_DIR="${BUILD_DIR}"
|
|
278 |
local -x MAX_JOBS=$(makeopts_jobs)
|
|
279 |
local -x PYTORCH_BUILD_VERSION=${PV}
|
|
280 |
local -x PYTORCH_BUILD_NUMBER=0
|
|
281 |
local -x USE_CCACHE=OFF
|
|
282 |
local -x USE_CUDA=$(usex cuda)
|
|
283 |
local -x USE_DISTRIBUTED=$(usex distributed)
|
|
284 |
local -x USE_FBGEMM=$(usex fbgemm)
|
|
285 |
local -x USE_FLASH_ATTENTION=$(usex flash)
|
|
286 |
local -x USE_GFLAGS=ON
|
|
287 |
local -x USE_GLOG=ON
|
|
288 |
local -x USE_GLOO=$(usex gloo)
|
|
289 |
local -x USE_ITT=OFF
|
|
290 |
local -x USE_KINETO=$(usex kineto)
|
|
291 |
local -x USE_KLEIDIAI=OFF # TODO
|
|
292 |
local -x USE_MAGMA=OFF # TODO: In GURU as sci-libs/magma
|
|
293 |
local -x USE_MEM_EFF_ATTENTION=$(usex memefficient)
|
|
294 |
local -x USE_MIMALLOC=$(usex mimalloc)
|
|
295 |
local -x USE_MKLDNN=$(usex onednn)
|
|
296 |
local -x USE_MPI=$(usex mpi)
|
|
297 |
local -x USE_NNPACK=$(usex nnpack)
|
|
298 |
local -x USE_NUMA=OFF
|
|
299 |
local -x USE_NUMPY=$(usex numpy)
|
|
300 |
local -x USE_OPENCL=$(usex opencl)
|
|
301 |
local -x USE_OPENMP=$(usex openmp)
|
|
302 |
local -x USE_PYTORCH_QNNPACK=$(usex qnnpack)
|
|
303 |
local -x USE_PYTORCH_METAL=OFF
|
|
304 |
local -x USE_ROCM=$(usex rocm)
|
|
305 |
local -x USE_SYSTEM_LIBS=ON
|
|
306 |
local -x USE_SYSTEM_XNNPACK=$(usex xnnpack)
|
|
307 |
local -x USE_TENSORPIPE=$(usex distributed $(usex !rocm))
|
|
308 |
local -x DUSE_UCC=OFF
|
|
309 |
local -x USE_VALGRIND=OFF
|
|
310 |
local -x USE_XNNPACK=$(usex xnnpack)
|
|
311 |
local -x USE_XPU=OFF
|
|
312 |
|
|
313 |
if use mkl; then
|
|
314 |
local -x USE_BLAS=ON
|
|
315 |
local -x BLAS=MKL
|
|
316 |
elif use openblas; then
|
|
317 |
local -x USE_BLAS=ON
|
|
318 |
local -x BLAS=OpenBLAS
|
|
319 |
else
|
|
320 |
# Note: USE_BLAS=OFF does not properly work, instead pytorch still searches for libraries.
|
|
321 |
# Even though it is easy to patch pytorch to disable BLAS usage completely,
|
|
322 |
# it is practically not useful, as it would render the library barely usable.
|
|
323 |
local -x USE_BLAS=ON
|
|
324 |
local -x BLAS=Generic
|
|
325 |
local -x GENERIC_BLAS_LIBRARIES=cblas
|
|
326 |
fi
|
|
327 |
|
|
328 |
if use cuda; then
|
|
329 |
# bug 867706 926116
|
|
330 |
cuda_add_sandbox
|
|
331 |
addpredict "/dev/char/"
|
|
332 |
|
|
333 |
local -x CMAKE_CUDA_FLAGS="$(cuda_gccdir -f | tr -d \")"
|
|
334 |
local -x TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-7.0}"
|
|
335 |
local -x USE_CUDNN=ON
|
|
336 |
local -x USE_FLASH_ATTENTION=OFF
|
|
337 |
local -x USE_MEM_EFF_ATTENTION=OFF
|
|
338 |
local -x USE_NCCL=OFF # TODO: NVIDIA Collective Communication Library
|
|
339 |
|
|
340 |
elif use rocm; then
|
|
341 |
export PYTORCH_ROCM_ARCH="$(get_amdgpu_flags)"
|
|
342 |
|
|
343 |
if use memefficient; then
|
|
344 |
export AOTRITON_INSTALLED_PREFIX="${ESYSROOT}/usr"
|
|
345 |
fi
|
|
346 |
|
|
347 |
local -x CMAKE_REQUIRE_FIND_PACKAGE_HIP=ON
|
|
348 |
local -x USE_NCCL=$(usex nccl)
|
|
349 |
local -x CMAKE_DISABLE_FIND_PACKAGE_hipsparselt=$(usex !cusparselt) # disable automagic
|
|
350 |
local -x USE_ROCM_CK_SDPA=OFF # requires flash + aiter, works only on gfx90a/gfx942/gfx950
|
|
351 |
local -x ROCM_PATH=/usr
|
|
352 |
local -x HIP_CLANG_PATH=$(hipconfig --hipclangpath)
|
|
353 |
|
|
354 |
# ROCm libraries produce too much warnings
|
|
355 |
append-cxxflags -Wno-deprecated-declarations -Wno-unused-result -Wno-unused-value
|
|
356 |
else
|
|
357 |
local -x USE_NCCL=OFF
|
|
358 |
fi
|
|
359 |
|
|
360 |
distutils-r1_python_compile develop sdist
|
| 70 |
361 |
}
|
