forked from pytorch/vision
-
Notifications
You must be signed in to change notification settings - Fork 0
/
pkg_helpers.bash
339 lines (316 loc) · 11.6 KB
/
pkg_helpers.bash
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
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
# A set of useful bash functions for common functionality we need to do in
# many build scripts
# Setup CUDA environment variables, based on CU_VERSION
#
# Inputs:
# CU_VERSION (cpu, cu92, cu100)
# NO_CUDA_PACKAGE (bool)
# BUILD_TYPE (conda, wheel)
#
# Outputs:
# VERSION_SUFFIX (e.g., "")
# PYTORCH_VERSION_SUFFIX (e.g., +cpu)
# WHEEL_DIR (e.g., cu100/)
# CUDA_HOME (e.g., /usr/local/cuda-9.2, respected by torch.utils.cpp_extension)
# FORCE_CUDA (respected by torchvision setup.py)
# NVCC_FLAGS (respected by torchvision setup.py)
#
# Precondition: CUDA versions are installed in their conventional locations in
# /usr/local/cuda-*
#
# NOTE: Why VERSION_SUFFIX versus PYTORCH_VERSION_SUFFIX? If you're building
# a package with CUDA on a platform we support CUDA on, VERSION_SUFFIX ==
# PYTORCH_VERSION_SUFFIX and everyone is happy. However, if you are building a
# package with only CPU bits (e.g., torchaudio), then VERSION_SUFFIX is always
# empty, but PYTORCH_VERSION_SUFFIX is +cpu (because that's how you get a CPU
# version of a Python package. But that doesn't apply if you're on OS X,
# since the default CU_VERSION on OS X is cpu.
setup_cuda() {
# First, compute version suffixes. By default, assume no version suffixes
export VERSION_SUFFIX=""
export PYTORCH_VERSION_SUFFIX=""
export WHEEL_DIR=""
# Wheel builds need suffixes (but not if they're on OS X, which never has suffix)
if [[ "$BUILD_TYPE" == "wheel" ]] && [[ "$(uname)" != Darwin ]]; then
export PYTORCH_VERSION_SUFFIX="+$CU_VERSION"
# Match the suffix scheme of pytorch, unless this package does not have
# CUDA builds (in which case, use default)
if [[ -z "$NO_CUDA_PACKAGE" ]]; then
export VERSION_SUFFIX="$PYTORCH_VERSION_SUFFIX"
export WHEEL_DIR="$CU_VERSION/"
fi
fi
# Now work out the CUDA settings
case "$CU_VERSION" in
cu117)
if [[ "$OSTYPE" == "msys" ]]; then
export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7"
else
export CUDA_HOME=/usr/local/cuda-11.7/
fi
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
;;
cu116)
if [[ "$OSTYPE" == "msys" ]]; then
export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.6"
else
export CUDA_HOME=/usr/local/cuda-11.6/
fi
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
;;
cpu)
;;
rocm*)
export FORCE_CUDA=1
;;
*)
echo "Unrecognized CU_VERSION=$CU_VERSION"
exit 1
;;
esac
if [[ -n "$CUDA_HOME" ]]; then
# Adds nvcc binary to the search path so that CMake's `find_package(CUDA)` will pick the right one
export PATH="$CUDA_HOME/bin:$PATH"
export FORCE_CUDA=1
fi
}
# Populate build version if necessary, and add version suffix
#
# Inputs:
# BUILD_VERSION (e.g., 0.2.0 or empty)
# VERSION_SUFFIX (e.g., +cpu)
#
# Outputs:
# BUILD_VERSION (e.g., 0.2.0.dev20190807+cpu)
#
# Fill BUILD_VERSION if it doesn't exist already with a nightly string
# Usage: setup_build_version 0.2.0
setup_build_version() {
if [[ -z "$BUILD_VERSION" ]]; then
if [[ -z "$1" ]]; then
setup_base_build_version
else
BUILD_VERSION="$1"
fi
BUILD_VERSION="$BUILD_VERSION.dev$(date "+%Y%m%d")$VERSION_SUFFIX"
else
BUILD_VERSION="$BUILD_VERSION$VERSION_SUFFIX"
fi
# Set build version based on tag if on tag
if [[ -n "${CIRCLE_TAG}" ]]; then
# Strip tag
BUILD_VERSION="$(echo "${CIRCLE_TAG}" | sed -e 's/^v//' -e 's/-.*$//')${VERSION_SUFFIX}"
fi
export BUILD_VERSION
}
setup_base_build_version() {
SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
# version.txt for some reason has `a` character after major.minor.rev
# command below yields 0.10.0 from version.txt containing 0.10.0a0
BUILD_VERSION=$( cut -f 1 -d a "$SCRIPT_DIR/../version.txt" )
export BUILD_VERSION
}
# Set some useful variables for OS X, if applicable
setup_macos() {
if [[ "$(uname)" == Darwin ]]; then
export MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++
fi
}
# Top-level entry point for things every package will need to do
#
# Usage: setup_env 0.2.0
setup_env() {
setup_cuda
setup_build_version "$1"
setup_macos
}
# Function to retry functions that sometimes timeout or have flaky failures
retry () {
$* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
}
# Inputs:
# PYTHON_VERSION (3.7, 3.8, 3.9)
# UNICODE_ABI (bool)
#
# Outputs:
# PATH modified to put correct Python version in PATH
#
# Precondition: If Linux, you are in a soumith/manylinux-cuda* Docker image
setup_wheel_python() {
if [[ "$(uname)" == Darwin || "$OSTYPE" == "msys" ]]; then
eval "$(conda shell.bash hook)"
conda env remove -n "env$PYTHON_VERSION" || true
conda create ${CONDA_CHANNEL_FLAGS} -yn "env$PYTHON_VERSION" python="$PYTHON_VERSION"
conda activate "env$PYTHON_VERSION"
# Install libpng from Anaconda (defaults)
conda install ${CONDA_CHANNEL_FLAGS} libpng "jpeg<=9b" -y
else
# Install native CentOS libJPEG, freetype and GnuTLS
yum install -y libjpeg-turbo-devel freetype gnutls
case "$PYTHON_VERSION" in
3.7) python_abi=cp37-cp37m ;;
3.8) python_abi=cp38-cp38 ;;
3.9) python_abi=cp39-cp39 ;;
3.10) python_abi=cp310-cp310 ;;
*)
echo "Unrecognized PYTHON_VERSION=$PYTHON_VERSION"
exit 1
;;
esac
# Download all the dependencies required to compile image and video_reader
# extensions
mkdir -p ext_libraries
pushd ext_libraries
popd
export PATH="/opt/python/$python_abi/bin:$(pwd)/ext_libraries/bin:$PATH"
fi
}
# Install with pip a bit more robustly than the default
pip_install() {
retry pip install --progress-bar off "$@"
}
# Install torch with pip, respecting PYTORCH_VERSION, and record the installed
# version into PYTORCH_VERSION, if applicable
setup_pip_pytorch_version() {
if [[ -z "$PYTORCH_VERSION" ]]; then
# Install latest prerelease version of torch, per our nightlies, consistent
# with the requested cuda version
pip_install --pre torch -f "https://download.pytorch.org/whl/test/${WHEEL_DIR}torch_test.html"
if [[ "$CUDA_VERSION" == "cpu" ]]; then
# CUDA and CPU are ABI compatible on the CPU-only parts, so strip
# in this case
export PYTORCH_VERSION="$(pip show torch | grep ^Version: | sed 's/Version: *//' | sed 's/+.\+//')"
else
export PYTORCH_VERSION="$(pip show torch | grep ^Version: | sed 's/Version: *//')"
fi
else
pip_install "torch==$PYTORCH_VERSION$PYTORCH_VERSION_SUFFIX" \
-f "https://download.pytorch.org/whl/${CU_VERSION}/torch_stable.html" \
-f "https://download.pytorch.org/whl/${UPLOAD_CHANNEL}/${CU_VERSION}/torch_${UPLOAD_CHANNEL}.html"
fi
}
# Fill PYTORCH_VERSION with the latest conda nightly version, and
# CONDA_CHANNEL_FLAGS with appropriate flags to retrieve these versions
#
# You MUST have populated PYTORCH_VERSION_SUFFIX before hand.
setup_conda_pytorch_constraint() {
if [[ -z "$PYTORCH_VERSION" ]]; then
export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c pytorch-test -c pytorch"
PYTHON="python"
# Check if we have python 3 instead and prefer that
if python3 --version >/dev/null 2>/dev/null; then
PYTHON="python3"
fi
export PYTORCH_VERSION="$(conda search --json 'pytorch[channel=pytorch-test]' | \
${PYTHON} -c "import os, sys, json, re; cuver = os.environ.get('CU_VERSION'); \
cuver_1 = cuver.replace('cu', 'cuda') if cuver != 'cpu' else cuver; \
cuver_2 = (cuver[:-1] + '.' + cuver[-1]).replace('cu', 'cuda') if cuver != 'cpu' else cuver; \
print(re.sub(r'\\+.*$', '', \
[x['version'] for x in json.load(sys.stdin)['pytorch'] \
if (x['platform'] == 'darwin' or cuver_1 in x['fn'] or cuver_2 in x['fn']) \
and 'py' + os.environ['PYTHON_VERSION'] in x['fn']][-1]))")"
if [[ -z "$PYTORCH_VERSION" ]]; then
echo "PyTorch version auto detection failed"
echo "No package found for CU_VERSION=$CU_VERSION and PYTHON_VERSION=$PYTHON_VERSION"
exit 1
fi
else
export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c pytorch -c pytorch-${UPLOAD_CHANNEL}"
fi
if [[ "$CU_VERSION" == cpu ]]; then
export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==$PYTORCH_VERSION${PYTORCH_VERSION_SUFFIX}"
export CONDA_PYTORCH_CONSTRAINT="- pytorch==$PYTORCH_VERSION"
else
export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==${PYTORCH_VERSION}${PYTORCH_VERSION_SUFFIX}"
export CONDA_PYTORCH_CONSTRAINT="- pytorch==${PYTORCH_VERSION}${PYTORCH_VERSION_SUFFIX}"
fi
if [[ "$OSTYPE" == msys && "$CU_VERSION" == cu92 ]]; then
export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c defaults -c numba/label/dev"
fi
}
# Translate CUDA_VERSION into CUDA_CUDATOOLKIT_CONSTRAINT
setup_conda_cudatoolkit_constraint() {
export CONDA_BUILD_VARIANT="cuda"
if [[ "$(uname)" == Darwin ]]; then
export CONDA_BUILD_VARIANT="cpu"
else
case "$CU_VERSION" in
cu117)
export CONDA_CUDATOOLKIT_CONSTRAINT="- pytorch-cuda=11.7 # [not osx]"
;;
cu116)
export CONDA_CUDATOOLKIT_CONSTRAINT="- pytorch-cuda=11.6 # [not osx]"
;;
cpu)
export CONDA_CUDATOOLKIT_CONSTRAINT=""
export CONDA_BUILD_VARIANT="cpu"
;;
*)
echo "Unrecognized CU_VERSION=$CU_VERSION"
exit 1
;;
esac
fi
}
setup_conda_cudatoolkit_plain_constraint() {
export CONDA_BUILD_VARIANT="cuda"
export CMAKE_USE_CUDA=1
if [[ "$(uname)" == Darwin ]]; then
export CONDA_BUILD_VARIANT="cpu"
export CMAKE_USE_CUDA=0
else
case "$CU_VERSION" in
cu117)
export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda=11.7"
;;
cu116)
export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda=11.6"
;;
cpu)
export CONDA_CUDATOOLKIT_CONSTRAINT=""
export CONDA_BUILD_VARIANT="cpu"
export CMAKE_USE_CUDA=0
;;
*)
echo "Unrecognized CU_VERSION=$CU_VERSION"
exit 1
;;
esac
fi
}
# Build the proper compiler package before building the final package
setup_visual_studio_constraint() {
if [[ "$OSTYPE" == "msys" ]]; then
export VSTOOLCHAIN_PACKAGE=vs$VC_YEAR
conda build $CONDA_CHANNEL_FLAGS --no-anaconda-upload packaging/$VSTOOLCHAIN_PACKAGE
cp packaging/$VSTOOLCHAIN_PACKAGE/conda_build_config.yaml packaging/torchvision/conda_build_config.yaml
fi
}
setup_junit_results_folder() {
if [[ "$CI" == "true" ]]; then
export CONDA_PYTORCH_BUILD_RESULTS_DIRECTORY="${SOURCE_ROOT_DIR}/build_results/results.xml"
fi
}
download_copy_ffmpeg() {
if [[ "$OSTYPE" == "msys" ]]; then
# conda install -yq ffmpeg=4.2 -c pytorch
# curl -L -q https://anaconda.org/pytorch/ffmpeg/4.3/download/win-64/ffmpeg-4.3-ha925a31_0.tar.bz2 --output ffmpeg-4.3-ha925a31_0.tar.bz2
# bzip2 --decompress --stdout ffmpeg-4.3-ha925a31_0.tar.bz2 | tar -x --file=-
# cp Library/bin/*.dll ../torchvision
echo "FFmpeg is disabled currently on Windows"
else
if [[ "$(uname)" == Darwin ]]; then
conda install -yq ffmpeg=4.2 -c pytorch
conda install -yq wget
else
# pushd ext_libraries
# wget -q https://anaconda.org/pytorch/ffmpeg/4.2/download/linux-64/ffmpeg-4.2-hf484d3e_0.tar.bz2
# tar -xjvf ffmpeg-4.2-hf484d3e_0.tar.bz2
# rm -rf ffmpeg-4.2-hf484d3e_0.tar.bz2
# ldconfig
# which ffmpeg
# popd
echo "FFmpeg is disabled currently on Linux"
fi
fi
}