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1 change: 1 addition & 0 deletions .github/workflows/tests.yml
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run: |
MILABENCH_GPU_ARCH=cuda poetry run milabench pin -c constraints/cuda.txt --config config/standard.yaml
MILABENCH_GPU_ARCH=rocm poetry run milabench pin -c constraints/rocm.txt --config config/standard.yaml
MILABENCH_GPU_ARCH=xpu poetry run milabench pin -c constraints/xpu.txt --config config/standard.yaml
git diff --stat
- name: tests
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378 changes: 378 additions & 0 deletions .pin/constraints-xpu-torch.txt
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#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
# pip-compile --config=pyproject.toml --output-file=.pin/constraints-xpu-torch.txt --resolver=backtracking .pin/tmp-constraints.txt benchmarks/accelerate_opt/requirements.in benchmarks/dlrm/requirements.in benchmarks/flops/requirements.in benchmarks/huggingface/requirements.in benchmarks/rwkv/requirements.in benchmarks/stargan/requirements.in benchmarks/super-slomo/requirements.in benchmarks/timm/requirements.in benchmarks/torchvision/requirements.in
#
--extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/

absl-py==2.0.0
# via tensorboard
accelerate==0.24.1
# via -r benchmarks/accelerate_opt/requirements.in
aiohttp==3.8.6
# via
# datasets
# fsspec
aiosignal==1.3.1
# via aiohttp
antlr4-python3-runtime==4.9.3
# via omegaconf
asttokens==2.4.1
# via giving
async-timeout==4.0.3
# via aiohttp
attrs==23.1.0
# via aiohttp
cachetools==5.3.2
# via google-auth
certifi==2023.7.22
# via requests
charset-normalizer==3.3.2
# via
# aiohttp
# requests
cmake==3.27.7
# via ptera
datasets==2.14.6
# via
# -r benchmarks/accelerate_opt/requirements.in
# evaluate
deepspeed==0.12.2
# via
# -r benchmarks/accelerate_opt/requirements.in
# -r benchmarks/rwkv/requirements.in
dill==0.3.7
# via
# datasets
# evaluate
# multiprocess
docker==6.1.3
# via torchx
docstring-parser==0.8.1
# via torchx
evaluate==0.4.1
# via -r benchmarks/accelerate_opt/requirements.in
executing==1.2.0
# via varname
fbgemm-gpu==0.5.0
# via torchrec
filelock==3.13.1
# via
# huggingface-hub
# torch
# torchx
# transformers
frozenlist==1.4.0
# via
# aiohttp
# aiosignal
fsspec[http]==2023.10.0
# via
# datasets
# evaluate
# huggingface-hub
# pytorch-lightning
# torch
# torchx
future==0.18.3
# via -r benchmarks/dlrm/requirements.in
giving==0.4.2
# via
# ptera
# voir
google-auth==2.23.4
# via
# google-auth-oauthlib
# tensorboard
google-auth-oauthlib==1.1.0
# via tensorboard
graphviz==0.20.1
# via torchviz
grpcio==1.59.2
# via tensorboard
hjson==3.1.0
# via deepspeed
huggingface-hub==0.17.3
# via
# -r benchmarks/timm/requirements.in
# accelerate
# datasets
# evaluate
# tokenizers
# transformers
idna==3.4
# via
# requests
# yarl
importlib-metadata==6.8.0
# via torchx
jinja2==3.1.2
# via torch
joblib==1.3.2
# via scikit-learn
lightning-utilities==0.9.0
# via
# pytorch-lightning
# torchmetrics
lit==17.0.4
# via tensorboard
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.3
# via
# jinja2
# werkzeug
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.0.4
# via
# aiohttp
# yarl
multiprocess==0.70.15
# via
# datasets
# evaluate
mypy-extensions==1.0.0
# via typing-inspect
networkx==3.2.1
# via torch
ninja==1.11.1.1
# via
# -r benchmarks/rwkv/requirements.in
# deepspeed
numpy==1.26.1
# via
# -r benchmarks/dlrm/requirements.in
# -r benchmarks/rwkv/requirements.in
# accelerate
# datasets
# deepspeed
# evaluate
# fbgemm-gpu
# onnx
# opencv-python
# pandas
# pyarrow
# pytorch-lightning
# scikit-learn
# scipy
# tensorboard
# torchmetrics
# torchvision
# transformers
oauthlib==3.2.2
# via requests-oauthlib
omegaconf==2.3.0
# via voir
onnx==1.15.0
# via -r benchmarks/dlrm/requirements.in
opencv-python==4.8.1.78
# via -r benchmarks/super-slomo/requirements.in
ovld==0.3.2
# via voir
packaging==23.2
# via
# accelerate
# datasets
# deepspeed
# docker
# evaluate
# huggingface-hub
# lightning-utilities
# pytorch-lightning
# torchmetrics
# transformers
pandas==2.1.2
# via
# datasets
# evaluate
pillow==10.1.0
# via torchvision
protobuf==4.23.4
# via
# onnx
# tensorboard
psutil==5.9.6
# via
# accelerate
# deepspeed
ptera==1.4.1
# via voir
py-cpuinfo==9.0.0
# via deepspeed
pyarrow==14.0.0
# via datasets
pyasn1==0.5.0
# via
# pyasn1-modules
# rsa
pyasn1-modules==0.3.0
# via google-auth
pydantic==1.10.13
# via
# -r benchmarks/rwkv/requirements.in
# deepspeed
pydot==1.4.2
# via -r benchmarks/dlrm/requirements.in
pygments==2.16.1
# via rich
pynvml==11.5.0
# via
# deepspeed
# voir
pyparsing==3.1.1
# via pydot
pyre-extensions==0.0.30
# via torchx
python-dateutil==2.8.2
# via pandas
pytorch-lightning==1.9.5
pytz==2023.3.post1
# via pandas
pyyaml==6.0.1
# via
# -r benchmarks/timm/requirements.in
# accelerate
# datasets
# huggingface-hub
# omegaconf
# pytorch-lightning
# torchx
# transformers
reactivex==4.0.4
# via giving
regex==2023.10.3
# via transformers
requests==2.31.0
# via
# datasets
# docker
# evaluate
# fsspec
# huggingface-hub
# requests-oauthlib
# responses
# tensorboard
# torchvision
# transformers
requests-oauthlib==1.3.1
# via google-auth-oauthlib
responses==0.18.0
# via evaluate
rich==13.6.0
# via
# -r benchmarks/accelerate_opt/requirements.in
# voir
rsa==4.9
# via google-auth
safetensors==0.4.0
# via
# -r benchmarks/timm/requirements.in
# transformers
scikit-learn==1.3.2
# via -r benchmarks/dlrm/requirements.in
scipy==1.11.3
# via scikit-learn
six==1.16.0
# via
# asttokens
# python-dateutil
# tensorboard
sympy==1.12
# via torch
tabulate==0.9.0
# via torchx
tensorboard==2.15.1
# via -r benchmarks/dlrm/requirements.in
tensorboard-data-server==0.7.2
# via tensorboard
threadpoolctl==3.2.0
# via scikit-learn
tokenizers==0.14.1
# via transformers
torch==2.1.0
# via
# -r benchmarks/accelerate_opt/requirements.in
# -r benchmarks/rwkv/requirements.in
# accelerate
# deepspeed
# pytorch-lightning
# torchaudio
# torchmetrics
# torchvision
# torchviz
torchaudio==2.1.0
# via -r benchmarks/accelerate_opt/requirements.in
torchmetrics==1.0.3
# via
# pytorch-lightning
# torchrec
torchrec==0.5.0
# via -r benchmarks/dlrm/requirements.in
torchvision==0.16.0
# via
# -r benchmarks/accelerate_opt/requirements.in
# -r benchmarks/stargan/requirements.in
torchviz==0.0.2
# via -r benchmarks/dlrm/requirements.in
torchx==0.5.0
# via -r benchmarks/dlrm/requirements.in
tqdm==4.66.1
# via
# -r benchmarks/flops/requirements.in
# -r benchmarks/torchvision/requirements.in
# datasets
# deepspeed
# evaluate
# huggingface-hub
# pytorch-lightning
# torchrec
# transformers
transformers==4.35.0
# via
# -r benchmarks/accelerate_opt/requirements.in
# -r benchmarks/huggingface/requirements.in
typing-extensions==4.8.0
# via
# huggingface-hub
# lightning-utilities
# pydantic
# pyre-extensions
# pytorch-lightning
# reactivex
# torch
# typing-inspect
typing-inspect==0.9.0
# via pyre-extensions
tzdata==2023.3
# via pandas
urllib3==1.26.18
# via
# docker
# requests
# responses
# torchx
varname==0.10.0
# via giving
voir==0.2.11
# via
# -r benchmarks/accelerate_opt/requirements.in
# -r benchmarks/rwkv/requirements.in
websocket-client==1.6.4
# via docker
werkzeug==3.0.1
# via tensorboard
xxhash==3.4.1
# via
# datasets
# evaluate
yarl==1.9.2
# via aiohttp
zipp==3.17.0
# via importlib-metadata

# The following packages are considered to be unsafe in a requirements file:
# setuptools
6 changes: 3 additions & 3 deletions milabench/_version.py
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"""This file is generated, do not modify"""

__tag__ = "v0.0.6-41-g932e30e"
__commit__ = "932e30e79513fdd2448cedaf98a003bb4b5b9148"
__date__ = "2024-01-17 14:33:14 -0500"
__tag__ = "v0.0.6-49-g4975328"
__commit__ = "4975328408e2ad54fe448d2881c6aca8fe200fd2"
__date__ = "2024-04-18 18:16:53 +0000"

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