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fix: pin torchvision per matrix entry to prevent ABI drift #3631

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a03aace
fix: pin torchvision per matrix entry to prevent ABI drift
ved1beta Apr 29, 2026
fe5e8ac
toml
ved1beta Apr 29, 2026
3a4ca3b
build fail version update
ved1beta Apr 29, 2026
bf030c1
dont smoke test
ved1beta Apr 29, 2026
e74abaf
add venv
ved1beta Apr 29, 2026
9bde764
==${TORCHVISION_VERSION}
ved1beta Apr 30, 2026
256e374
pin to 24.1
May 12, 2026
38927c3
rmv torch
May 13, 2026
1f95d49
redo
May 14, 2026
f720ced
undo
May 14, 2026
ecca61c
q ga lora main
May 14, 2026
68d56b8
Merge remote-tracking branch 'upstream/main' into pr-3631
May 22, 2026
617c33b
Merge branch 'fix/torchvision-pin' of github.com:ved1beta/axolotl int…
Jun 9, 2026
142ba5d
Merge remote-tracking branch 'upstream/main' into fix/torchvision-pin
Jun 9, 2026
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25 changes: 23 additions & 2 deletions .github/workflows/base.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -35,14 +35,17 @@ jobs:
cudnn_version: ""
python_version: "3.11"
pytorch: 2.9.1
torchvision: 0.24.1
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
dockerfile: "Dockerfile-base"
platforms: "linux/amd64,linux/arm64"
# arm64 disabled: torchvision 0.24.1+cu128 has no aarch64 wheel
platforms: "linux/amd64"
- cuda: "128"
cuda_version: 12.8.1
cudnn_version: ""
python_version: "3.12"
pytorch: 2.10.0
torchvision: 0.25.0
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
dockerfile: "Dockerfile-base"
platforms: "linux/amd64,linux/arm64"
Expand All @@ -51,6 +54,7 @@ jobs:
# cudnn_version: ""
# python_version: "3.12"
# pytorch: 2.9.1
# torchvision: 0.24.1
# torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
# dockerfile: "Dockerfile-base"
# platforms: "linux/amd64,linux/arm64"
Expand All @@ -59,14 +63,17 @@ jobs:
cudnn_version: ""
python_version: "3.11"
pytorch: 2.9.1
torchvision: 0.24.1
torch_cuda_arch_list: "9.0 10.0 10.3 12.0+PTX"
dockerfile: "Dockerfile-base"
platforms: "linux/amd64,linux/arm64"
# arm64 disabled: torchvision 0.24.1+cu130 has no aarch64 wheel
platforms: "linux/amd64"
- cuda: "130"
cuda_version: 13.0.0
cudnn_version: ""
python_version: "3.12"
pytorch: 2.10.0
torchvision: 0.25.0
torch_cuda_arch_list: "9.0 10.0 10.3 12.0+PTX"
dockerfile: "Dockerfile-base"
platforms: "linux/amd64,linux/arm64"
Expand All @@ -75,6 +82,7 @@ jobs:
# cudnn_version: ""
# python_version: "3.11"
# pytorch: nightly
# torchvision: nightly
# torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
# dockerfile: "Dockerfile-base-nightly"
# # "next" is for release candidates of pytorch
Expand All @@ -83,6 +91,7 @@ jobs:
# cudnn_version: ""
# python_version: "3.11"
# pytorch: next
# torchvision: next
# torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
# dockerfile: "Dockerfile-base-next"
steps:
Expand Down Expand Up @@ -117,6 +126,7 @@ jobs:
CUDA=${{ matrix.cuda }}
PYTHON_VERSION=${{ matrix.python_version }}
PYTORCH_VERSION=${{ matrix.pytorch }}
TORCHVISION_VERSION=${{ matrix.torchvision }}
TORCH_CUDA_ARCH_LIST=${{ matrix.torch_cuda_arch_list }}
build-base-uv:
if: ${{ github.repository_owner == 'axolotl-ai-cloud' && (github.event_name != 'pull_request' || !github.event.pull_request.draft) }}
Expand All @@ -133,6 +143,7 @@ jobs:
cudnn_version: ""
python_version: "3.11"
pytorch: 2.9.1
torchvision: 0.24.1
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
dockerfile: "Dockerfile-uv-base"
platforms: "linux/amd64,linux/arm64"
Expand All @@ -141,6 +152,7 @@ jobs:
cudnn_version: ""
python_version: "3.12"
pytorch: 2.9.1
torchvision: 0.24.1
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
dockerfile: "Dockerfile-uv-base"
platforms: "linux/amd64,linux/arm64"
Expand All @@ -149,6 +161,7 @@ jobs:
cudnn_version: ""
python_version: "3.11"
pytorch: 2.10.0
torchvision: 0.25.0
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
dockerfile: "Dockerfile-uv-base"
platforms: "linux/amd64,linux/arm64"
Expand All @@ -157,6 +170,7 @@ jobs:
cudnn_version: ""
python_version: "3.12"
pytorch: 2.10.0
torchvision: 0.25.0
torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
dockerfile: "Dockerfile-uv-base"
platforms: "linux/amd64,linux/arm64"
Expand All @@ -165,6 +179,7 @@ jobs:
# cudnn_version: ""
# python_version: "3.12"
# pytorch: 2.9.1
# torchvision: 0.24.1
# torch_cuda_arch_list: "7.0 7.5 8.0 8.6 8.7 8.9 9.0+PTX"
# dockerfile: "Dockerfile-uv-base"
# platforms: "linux/amd64,linux/arm64"
Expand All @@ -173,6 +188,7 @@ jobs:
cudnn_version: ""
python_version: "3.11"
pytorch: 2.9.1
torchvision: 0.24.1
torch_cuda_arch_list: "9.0 10.0 10.3 12.0+PTX"
dockerfile: "Dockerfile-uv-base"
platforms: "linux/amd64,linux/arm64"
Expand All @@ -181,6 +197,7 @@ jobs:
cudnn_version: ""
python_version: "3.12"
pytorch: 2.9.1
torchvision: 0.24.1
torch_cuda_arch_list: "9.0 10.0 10.3 12.0+PTX"
dockerfile: "Dockerfile-uv-base"
platforms: "linux/amd64,linux/arm64"
Expand All @@ -189,6 +206,7 @@ jobs:
cudnn_version: ""
python_version: "3.12"
pytorch: 2.10.0
torchvision: 0.25.0
torch_cuda_arch_list: "9.0 10.0 10.3 12.0+PTX"
dockerfile: "Dockerfile-uv-base"
platforms: "linux/amd64,linux/arm64"
Expand All @@ -197,6 +215,7 @@ jobs:
cudnn_version: ""
python_version: "3.12"
pytorch: 2.11.0
torchvision: 0.26.0
torch_cuda_arch_list: "9.0 10.0 10.3 12.0+PTX"
dockerfile: "Dockerfile-uv-base"
platforms: "linux/amd64,linux/arm64"
Expand All @@ -205,6 +224,7 @@ jobs:
cudnn_version: ""
python_version: "3.12"
pytorch: 2.12.0
torchvision: 0.27.0
torch_cuda_arch_list: "9.0 10.0 10.3 12.0+PTX"
dockerfile: "Dockerfile-uv-base"
platforms: "linux/amd64,linux/arm64"
Expand Down Expand Up @@ -240,4 +260,5 @@ jobs:
CUDA=${{ matrix.cuda }}
PYTHON_VERSION=${{ matrix.python_version }}
PYTORCH_VERSION=${{ matrix.pytorch }}
TORCHVISION_VERSION=${{ matrix.torchvision }}
TORCH_CUDA_ARCH_LIST=${{ matrix.torch_cuda_arch_list }}
4 changes: 4 additions & 0 deletions .github/workflows/multi-gpu-e2e.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -35,20 +35,23 @@ jobs:
# cuda_version: 12.9.1
# python_version: "3.12"
# pytorch: 2.9.1
# torchvision: 0.24.1
# axolotl_extras: "fbgemm-gpu"
# num_gpus: 2
# dockerfile: "Dockerfile-uv.jinja"
- cuda: 130
cuda_version: 13.0.0
python_version: "3.12"
pytorch: 2.12.0
torchvision: 0.27.0
axolotl_extras:
# axolotl_extras: fbgemm-gpu
num_gpus: 2
- cuda: 128
cuda_version: 12.8.1
python_version: "3.11"
pytorch: 2.10.0
torchvision: 0.25.0
axolotl_extras: "fbgemm-gpu"
num_gpus: 2
runs-on: [self-hosted, modal]
Expand All @@ -68,6 +71,7 @@ jobs:
run: |
echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "TORCHVISION_VERSION=${{ matrix.torchvision}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
echo "CUDA=${{ matrix.cuda }}" >> $GITHUB_ENV
Expand Down
6 changes: 6 additions & 0 deletions .github/workflows/tests-nightly.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -119,19 +119,22 @@ jobs:
cuda_version: 12.8.1
python_version: "3.11"
pytorch: 2.9.1
torchvision: 0.24.1
num_gpus: 1
axolotl_extras:
nightly_build: "true"
- cuda: 128
cuda_version: 12.8.1
python_version: "3.11"
pytorch: 2.10.0
torchvision: 0.25.0
num_gpus: 1
axolotl_extras:
- cuda: 130
cuda_version: 13.0.0
python_version: "3.12"
pytorch: 2.9.1
torchvision: 0.24.1
num_gpus: 1
axolotl_extras:
nightly_build: "true"
Expand All @@ -150,6 +153,7 @@ jobs:
run: |
echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "TORCHVISION_VERSION=${{ matrix.torchvision}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
echo "CUDA=${{ matrix.cuda }}" >> $GITHUB_ENV
Expand All @@ -176,6 +180,7 @@ jobs:
cuda_version: 12.8.1
python_version: "3.11"
pytorch: 2.9.1
torchvision: 0.24.1
num_gpus: 2
axolotl_extras:
nightly_build: "true"
Expand All @@ -194,6 +199,7 @@ jobs:
run: |
echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "TORCHVISION_VERSION=${{ matrix.torchvision}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
echo "CUDA=${{ matrix.cuda }}" >> $GITHUB_ENV
Expand Down
5 changes: 5 additions & 0 deletions .github/workflows/tests.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -288,6 +288,7 @@ jobs:
cuda_version: 13.0.0
python_version: "3.12"
pytorch: 2.12.0
torchvision: 0.27.0
num_gpus: 1
axolotl_extras:
steps:
Expand All @@ -305,6 +306,7 @@ jobs:
run: |
echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "TORCHVISION_VERSION=${{ matrix.torchvision}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
echo "CUDA=${{ matrix.cuda }}" >> $GITHUB_ENV
Expand Down Expand Up @@ -337,12 +339,14 @@ jobs:
cuda_version: 12.8.1
python_version: "3.11"
pytorch: 2.10.0
torchvision: 0.25.0
num_gpus: 1
axolotl_extras:
- cuda: 130
cuda_version: 13.0.0
python_version: "3.12"
pytorch: 2.11.0
torchvision: 0.26.0
num_gpus: 1
axolotl_extras:
steps:
Expand All @@ -360,6 +364,7 @@ jobs:
run: |
echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
echo "TORCHVISION_VERSION=${{ matrix.torchvision}}" >> $GITHUB_ENV
echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
echo "CUDA=${{ matrix.cuda }}" >> $GITHUB_ENV
Expand Down
13 changes: 8 additions & 5 deletions cicd/Dockerfile-uv.jinja
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@@ -1,10 +1,12 @@
FROM axolotlai/axolotl-base-uv:{{ BASE_TAG }}

ENV VIRTUAL_ENV="/workspace/axolotl-venv"
ENV TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"
ENV AXOLOTL_EXTRAS="{{ AXOLOTL_EXTRAS }}"
ENV AXOLOTL_ARGS="{{ AXOLOTL_ARGS }}"
ENV CUDA="{{ CUDA }}"
ENV PYTORCH_VERSION="{{ PYTORCH_VERSION }}"
ENV TORCHVISION_VERSION="{{ TORCHVISION_VERSION }}"
ENV GITHUB_REF="{{ GITHUB_REF }}"
ENV GITHUB_SHA="{{ GITHUB_SHA }}"
ENV NIGHTLY_BUILD="{{ NIGHTLY_BUILD }}"
Expand All @@ -23,13 +25,14 @@ RUN git fetch origin +$GITHUB_REF && \
git checkout FETCH_HEAD

RUN uv pip install packaging==26.0 setuptools==78.1.1
RUN uv pip install torchvision
RUN uv pip uninstall causal_conv1d
RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
uv pip install --no-build-isolation -e .[deepspeed,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \
RUN uv pip freeze | grep -E "^(torch|torchvision)==" > /tmp/torch-pin.txt && \
if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
uv pip install --no-build-isolation -e .[deepspeed,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS --override /tmp/torch-pin.txt; \
else \
uv pip install --no-build-isolation -e .[deepspeed,optimizers,ray] $AXOLOTL_ARGS; \
fi
uv pip install --no-build-isolation -e .[deepspeed,optimizers,ray] $AXOLOTL_ARGS --override /tmp/torch-pin.txt; \
fi && \
python -c "import torch, torchvision; torchvision.ops.nms; print('OK', torch.__version__, torchvision.__version__)"

# Override with nightly HF packages for nightly builds
RUN if [ "$NIGHTLY_BUILD" = "true" ] ; then \
Expand Down
1 change: 1 addition & 0 deletions cicd/multigpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@
"AXOLOTL_EXTRAS": os.environ.get("AXOLOTL_EXTRAS", ""),
"AXOLOTL_ARGS": os.environ.get("AXOLOTL_ARGS", ""),
"PYTORCH_VERSION": os.environ.get("PYTORCH_VERSION", "2.6.0"),
"TORCHVISION_VERSION": os.environ.get("TORCHVISION_VERSION", "0.21.0"),
"BASE_TAG": os.environ.get("BASE_TAG", "main-base-py3.11-cu126-2.6.0"),
"CUDA": os.environ.get("CUDA", "126"),
"GITHUB_REF": os.environ.get("GITHUB_REF", "refs/heads/main"),
Expand Down
1 change: 1 addition & 0 deletions cicd/single_gpu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@
"AXOLOTL_EXTRAS": os.environ.get("AXOLOTL_EXTRAS", ""),
"AXOLOTL_ARGS": os.environ.get("AXOLOTL_ARGS", ""),
"PYTORCH_VERSION": os.environ.get("PYTORCH_VERSION", "2.6.0"),
"TORCHVISION_VERSION": os.environ.get("TORCHVISION_VERSION", "0.21.0"),
"BASE_TAG": os.environ.get("BASE_TAG", "main-base-py3.11-cu126-2.6.0"),
"CUDA": os.environ.get("CUDA", "126"),
"GITHUB_REF": os.environ.get("GITHUB_REF", "refs/heads/main"),
Expand Down
8 changes: 5 additions & 3 deletions docker/Dockerfile-base
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Expand Up @@ -10,7 +10,8 @@ ENV PATH="/root/miniconda3/bin:${PATH}"

ARG TARGETARCH
ARG PYTHON_VERSION="3.11"
ARG PYTORCH_VERSION="2.1.2"
ARG PYTORCH_VERSION="2.9.1"
ARG TORCHVISION_VERSION="0.24.1"

@coderabbitai coderabbitai Bot Apr 29, 2026

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⚠️ Potential issue | 🟠 Major

🧩 Analysis chain

🌐 Web query:

From the official PyTorch compatibility table, which torchvision version is compatible with torch 2.1.2 (CUDA wheels)?

💡 Result:

torchvision version 0.16.2 is compatible with torch 2.1.2 (CUDA wheels).

Citations:

TORCHVISION_VERSION default is incompatible with torch 2.1.2.

Line 14 defaults to 0.24.1, but the compatible version for torch 2.1.2 (Line 13) is 0.16.2. This breaks default/local builds when TORCHVISION_VERSION is not explicitly passed, resulting in an incompatible PyTorch + torchvision installation.

Suggested fix 
 ARG PYTORCH_VERSION="2.1.2"
-ARG TORCHVISION_VERSION="0.24.1"
+ARG TORCHVISION_VERSION="0.16.2"
 ARG CUDA="128"

Also applies to: 48-49

🤖 Prompt for AI Agents 
Verify each finding against the current code and only fix it if needed.

In `@docker/Dockerfile-base` at line 14, The default ARG TORCHVISION_VERSION
("0.24.1") is incompatible with the specified torch version (ARG TORCH_VERSION
"2.1.2"); update the ARG TORCHVISION_VERSION default to "0.16.2" wherever it
appears (the top-level ARG TORCHVISION_VERSION and the later occurrences around
lines 48-49) so the Dockerfile installs a torchvision version compatible with
torch 2.1.2; ensure any build ARG references or INSTALL steps that use
TORCHVISION_VERSION keep the new value.

ARG CUDA="128"
ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"

Expand Down Expand Up @@ -44,8 +45,9 @@ ENV PATH="/root/miniconda3/envs/py${PYTHON_VERSION}/bin:${PATH}"
WORKDIR /workspace

RUN python3 -m pip install --upgrade pip && pip3 install -U packaging==26.0 setuptools==75.8.0 wheel psutil && \
python3 -m pip install --no-cache-dir -U torch==${PYTORCH_VERSION}+cu${CUDA} torchvision --extra-index-url https://download.pytorch.org/whl/cu$CUDA && \
python3 -m pip cache purge
python3 -m pip install --no-cache-dir -U torch==${PYTORCH_VERSION}+cu${CUDA} torchvision==${TORCHVISION_VERSION}+cu${CUDA} --extra-index-url https://download.pytorch.org/whl/cu$CUDA && \
python3 -m pip cache purge && \
python3 -c "import torch, torchvision; torchvision.ops.nms; print('OK', torch.__version__, torchvision.__version__)"

RUN if [ "$CUDA" != "130" ] ; then \
CAUSAL_CONV1D_FORCE_CXX11_ABI=TRUE CAUSAL_CONV1D_FORCE_BUILD=TRUE python3 -m pip install --no-cache-dir "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@v1.5.4"; \
Expand Down
2 changes: 2 additions & 0 deletions docker/Dockerfile-uv
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@@ -1,6 +1,8 @@
ARG BASE_TAG=main-base
FROM axolotlai/axolotl-base-uv:$BASE_TAG

ENV VIRTUAL_ENV="/workspace/axolotl-venv"

ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX"
ARG AXOLOTL_EXTRAS=""
ARG AXOLOTL_ARGS=""
Expand Down
7 changes: 5 additions & 2 deletions docker/Dockerfile-uv-base
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Expand Up @@ -9,6 +9,7 @@ FROM nvidia/cuda:$CUDA_VERSION-cudnn$CUDNN_VERSION-devel-ubuntu$UBUNTU_VERSION A
ARG TARGETARCH
ARG PYTHON_VERSION="3.11"
ARG PYTORCH_VERSION="2.6.0"
ARG TORCHVISION_VERSION="0.21.0"
ARG CUDA="126"
ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"

Expand All @@ -30,10 +31,12 @@ WORKDIR /workspace
RUN uv venv --no-project --relocatable axolotl-venv

ENV PATH="/workspace/axolotl-venv/bin:${PATH}"
ENV VIRTUAL_ENV="/workspace/axolotl-venv"

RUN uv pip install packaging setuptools wheel psutil \
&& uv pip install torch==${PYTORCH_VERSION} torchvision \
&& uv pip install awscli pydantic
&& uv pip install torch==${PYTORCH_VERSION} torchvision==${TORCHVISION_VERSION} \
&& uv pip install awscli pydantic \
&& python -c "import torch, torchvision; torchvision.ops.nms; print('OK', torch.__version__, torchvision.__version__)"

RUN if [ "$TARGETARCH" = "amd64" ]; then \
MAMBA_SKIP_CUDA_BUILD=TRUE CAUSAL_CONV1D_SKIP_CUDA_BUILD=TRUE uv pip install --no-build-isolation mamba_ssm causal_conv1d; \
Expand Down
1 change: 1 addition & 0 deletions pyproject.toml
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Expand Up @@ -13,6 +13,7 @@ requires-python = ">=3.10"
dependencies = [
# Core ML stack
"torch>=2.9.1",
"torchvision>=0.24.1",
"packaging==26.0",
"huggingface_hub>=1.1.7",
"peft>=0.19.1,<0.20.0",
Expand Down
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