Dockerfile torch fix (#987)
* add torch to requirements.txt at build time to force version to stick * fix xformers check * better handling of xformers based on installed torch version * fix for ci w/o torch
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2
.github/workflows/base.yml
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2
.github/workflows/base.yml
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@@ -28,7 +28,7 @@ jobs:
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- cuda: "118"
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cuda_version: 11.8.0
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python_version: "3.10"
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pytorch: 2.1.0
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pytorch: 2.1.1
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torch_cuda_arch_list: "7.0 7.5 8.0 8.6 9.0+PTX"
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steps:
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- name: Checkout
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4
.github/workflows/main.yml
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4
.github/workflows/main.yml
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@@ -27,7 +27,7 @@ jobs:
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- cuda: 118
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cuda_version: 11.8.0
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python_version: "3.10"
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pytorch: 2.1.0
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pytorch: 2.1.1
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axolotl_extras:
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runs-on: [self-hosted, gpu, docker]
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steps:
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@@ -80,7 +80,7 @@ jobs:
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- cuda: 118
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cuda_version: 11.8.0
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python_version: "3.10"
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pytorch: 2.1.0
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pytorch: 2.1.1
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axolotl_extras:
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runs-on: [self-hosted, gpu, docker]
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steps:
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@@ -19,7 +19,6 @@ RUN git clone --depth=1 https://github.com/OpenAccess-AI-Collective/axolotl.git
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WORKDIR /workspace/axolotl
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# If AXOLOTL_EXTRAS is set, append it in brackets
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RUN sed -i "s/torch==.*/torch==$PYTORCH_VERSION/" requirements.txt
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RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
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pip install -e .[deepspeed,flash-attn,$AXOLOTL_EXTRAS]; \
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else \
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15
setup.py
15
setup.py
@@ -1,5 +1,7 @@
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"""setup.py for axolotl"""
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from importlib.metadata import PackageNotFoundError, version
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from setuptools import find_packages, setup
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@@ -22,12 +24,13 @@ def parse_requirements():
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# Handle standard packages
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_install_requires.append(line)
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# TODO(wing) remove once xformers release supports torch 2.1.0
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if "torch==2.1.0" in _install_requires:
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_install_requires.pop(_install_requires.index("xformers>=0.0.22"))
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_install_requires.append(
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"xformers @ git+https://github.com/facebookresearch/xformers.git@main"
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)
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try:
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torch_version = version("torch")
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if torch_version.startswith("2.1.1"):
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_install_requires.pop(_install_requires.index("xformers==0.0.22"))
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_install_requires.append("xformers==0.0.23")
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except PackageNotFoundError:
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pass
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return _install_requires, _dependency_links
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