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build(deps): bump codercom/code-server from 4.135.0 to 4.137.0 in /build/images/ml #39

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build(deps): bump codercom/code-server from 4.135.0 to 4.137.0 in /build/images/ml #39

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2 changes: 1 addition & 1 deletion build/images/ml/Dockerfile.cpu
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# and runs as non-root (uid 1000), which satisfies restricted Pod Security.
# Catalog entry: name="Python ML (CPU · Ubuntu 24.04)", tag=ubuntu24.04-cpu-ml
# Build context: build/images, so session-base/entrypoint.sh can be shared.
FROM codercom/code-server:4.135.0 AS cs
FROM codercom/code-server:4.137.0 AS cs

FROM ubuntu:24.04
ARG TTYD_VERSION=1.7.7
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2 changes: 1 addition & 1 deletion build/images/ml/Dockerfile.cpu22
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# and runs as non-root (uid 1000), which satisfies restricted Pod Security.
# Catalog entry: name="Ubuntu 22.04", tag=ml-ubuntu22.04
# Build context: build/images, so session-base/entrypoint.sh can be shared.
FROM codercom/code-server:4.135.0 AS cs
FROM codercom/code-server:4.137.0 AS cs

FROM ubuntu:22.04
ARG TTYD_VERSION=1.7.7
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2 changes: 1 addition & 1 deletion build/images/ml/Dockerfile.ml-cu128
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# PyTorch or TensorFlow themselves if they want one.
# Catalog entry: name="Python ML · CUDA 12.4 · cuDNN 9 (GPU)", tag=ml-cuda12.4-cudnn9-gpu
# Build context: build/images, so session-base/entrypoint.sh can be shared.
FROM codercom/code-server:4.135.0 AS cs
FROM codercom/code-server:4.137.0 AS cs

FROM nvidia/cuda:12.8.1-cudnn-runtime-ubuntu24.04
ARG TTYD_VERSION=1.7.7
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2 changes: 1 addition & 1 deletion build/images/ml/Dockerfile.ml-gpu
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# PyTorch or TensorFlow themselves if they want one.
# Catalog entry: name="Python ML · CUDA 12.4 · cuDNN 9 (GPU)", tag=ml-cuda12.4-cudnn9-gpu
# Build context: build/images, so session-base/entrypoint.sh can be shared.
FROM codercom/code-server:4.135.0 AS cs
FROM codercom/code-server:4.137.0 AS cs

FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04
ARG TTYD_VERSION=1.7.7
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2 changes: 1 addition & 1 deletion build/images/ml/Dockerfile.pytorch-blackwell
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# the three GShare connection tools and SciPy.
# Catalog entry: name="PyTorch 2.6 · CUDA 12.4 (GPU)", tag=pytorch2.6-cuda12.4-cudnn9
# Build context: build/images, so session-base/entrypoint.sh can be shared.
FROM codercom/code-server:4.135.0 AS cs
FROM codercom/code-server:4.137.0 AS cs

FROM pytorch/pytorch:2.7.1-cuda12.8-cudnn9-runtime
ARG TTYD_VERSION=1.7.7
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2 changes: 1 addition & 1 deletion build/images/ml/Dockerfile.pytorch-gpu
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# the three GShare connection tools and SciPy.
# Catalog entry: name="PyTorch 2.6 · CUDA 12.4 (GPU)", tag=pytorch2.6-cuda12.4-cudnn9
# Build context: build/images, so session-base/entrypoint.sh can be shared.
FROM codercom/code-server:4.135.0 AS cs
FROM codercom/code-server:4.137.0 AS cs

FROM pytorch/pytorch:2.6.0-cuda12.4-cudnn9-runtime
ARG TTYD_VERSION=1.7.7
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2 changes: 1 addition & 1 deletion build/images/ml/Dockerfile.pytorch28
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# the three GShare connection tools and SciPy.
# Catalog entry: name="PyTorch 2.6 · CUDA 12.4 (GPU)", tag=pytorch2.6-cuda12.4-cudnn9
# Build context: build/images, so session-base/entrypoint.sh can be shared.
FROM codercom/code-server:4.135.0 AS cs
FROM codercom/code-server:4.137.0 AS cs

FROM pytorch/pytorch:2.8.0-cuda12.9-cudnn9-runtime
ARG TTYD_VERSION=1.7.7
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2 changes: 1 addition & 1 deletion build/images/ml/Dockerfile.tensorflow-gpu
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# pair, plus the three GShare connection tools and SciPy.
# Catalog entry: name="TensorFlow 2.18 (GPU)", tag=tensorflow2.18-gpu
# Build context: build/images, so session-base/entrypoint.sh can be shared.
FROM codercom/code-server:4.135.0 AS cs
FROM codercom/code-server:4.137.0 AS cs

FROM tensorflow/tensorflow:2.18.0-gpu
ARG TTYD_VERSION=1.7.7
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2 changes: 1 addition & 1 deletion build/images/ml/Dockerfile.tensorflow-ngc
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# plus the three GShare connection tools. Hub's tensorflow/tensorflow images ship an older CUDA and
# do not run on RTX PRO 5000/6000. Catalog entry: cuda_version=12.8.
# Build context: build/images, so session-base/entrypoint.sh can be shared.
FROM codercom/code-server:4.135.0 AS cs
FROM codercom/code-server:4.137.0 AS cs

FROM nvcr.io/nvidia/tensorflow:25.02-tf2-py3
ARG TTYD_VERSION=1.7.7
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