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feat: add TAO WTS and AETC SFT support #160

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feat: add TAO WTS and AETC SFT support #160

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e7f40fd
feat: add TAO WTS fine-tuning support
ramanathan831 Aug 1, 2026
dbc87ec
fix: allow non-root training containers
ramanathan831 Aug 1, 2026
8d4d166
build: exclude Python bytecode from image context
ramanathan831 Aug 1, 2026
7df2fa6
feat: add DAFT-backed AETC SFT
ramanathan831 Aug 4, 2026
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2 changes: 2 additions & 0 deletions .dockerignore
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Original file line number Diff line number Diff line change
@@ -1,5 +1,7 @@
.venv
.git
**/__pycache__
**/*.pyc
/checkpoints
/datasets
/output
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11 changes: 9 additions & 2 deletions Dockerfile
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Expand Up @@ -40,7 +40,8 @@ WORKDIR /workspace
# Install python
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=.python-version,target=.python-version \
uv python install
uv python install && \
chmod 0711 /root

# Install into virtual environment
RUN echo "$CUDA_VERSION" | sed -E 's/^([0-9]+)\.([0-9]+).*/cu\1\2/' > /root/.cuda-name
Expand All @@ -49,9 +50,15 @@ RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
--mount=type=bind,source=.python-version,target=.python-version \
--mount=type=bind,source=packages,target=packages \
uv sync --locked --no-install-project --no-editable --all-extras --group=$(cat /root/.cuda-name) --group=vllm
uv sync --locked --no-install-project --no-editable --all-extras --group=$(cat /root/.cuda-name)-train
ENV PATH="/workspace/.venv/bin:$PATH"

# Package the exact source state into the image so it can run on managed
# platforms without a host bind mount.
COPY . /workspace
RUN --mount=type=cache,target=/root/.cache/uv \
uv pip install --no-deps .

# Triton bundled ptxas doesn't support latest GPU architectures
ENV TRITON_PTXAS_PATH="/usr/local/cuda/bin/ptxas"

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