6ba52425ea
- Add compile-and-deploy, train-dqn/ppo/supervised WorkflowTemplates - Add Argo Events (EventSource, Sensor, Service) for webhook triggers - Add NetworkPolicy for compile-and-deploy pods (MinIO/DNS/API egress) - Add convenience scripts: argo-compile-deploy.sh, argo-train.sh - Drop cuDNN feature flags from all 9 ML crates (zero conv ops in codebase) - Switch training runtime base to nvidia/cuda:12.9.1-runtime (saves ~800MB) - Delete unused selective_scan.cu (16KB, zero Rust callers) - Fix GPU hotpath violations in ml-core (NVTX, gradient utils, capabilities) - Fix clippy warnings in ml-dqn (VarMap backticks, const fn) - Add DQN GPU smoketest, backtest evaluator signal adapter fixes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
28 lines
912 B
Docker
28 lines
912 B
Docker
# Generic GPU runtime base image for Foxhunt training pods
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# Contains: CUDA 12.9 + NVRTC + rclone (no cuDNN — zero conv ops in codebase)
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# Binaries are fetched by initContainer at pod startup, not baked into this image.
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# Rebuild: only on CUDA version bump
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FROM nvidia/cuda:12.9.1-runtime-ubuntu24.04
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ENV DEBIAN_FRONTEND=noninteractive
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ca-certificates \
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libssl3t64 \
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curl \
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unzip \
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cuda-nvrtc-12-9 \
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&& curl -fsSL https://downloads.rclone.org/v1.69.1/rclone-v1.69.1-linux-amd64.zip -o /tmp/rclone.zip \
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&& unzip -j /tmp/rclone.zip '*/rclone' -d /usr/local/bin/ \
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&& rm /tmp/rclone.zip \
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&& apt-get purge -y unzip \
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&& rm -rf /var/lib/apt/lists/*
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RUN usermod -l foxhunt ubuntu && groupmod -n foxhunt ubuntu
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ENV NVIDIA_VISIBLE_DEVICES=all
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ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
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USER foxhunt
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