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dustynv/pytorch
dustynv
带CUDA支持的PyTorch容器，适用于Jetson设备，支持PyTorch 1.9至2.3等多个版本，集成CUDA、cuDNN等必要依赖，用于深度学习模型开发、训练和推理。l4t-pytorch容器还包含torchvision和torchaudio。
7 次收藏下载次数: 0状态：社区镜像维护者：dustynv仓库类型：镜像最近更新：1 年前
pytorch
容器镜像运行构建
带CUDA支持的PyTorch容器，适用于Jetson设备。注意，https://github.com/dusty-nv/jetson-containers/tree/master/packages/l4t/l4t-pytorch%E5%AE%B9%E5%99%A8%E4%B9%9F%E5%8C%85%E5%90%ABPyTorch%E3%80%81%60torchvision%60%E5%92%8C%60torchaudio%60%E3%80%82
容器
pytorch:2.0 | |
|---|---|
| 别名 | torch:2.0 |
| 构建状态 | |
| 要求 | L4T ['==35.*'] |
| 依赖项 | https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/build-essential https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/cuda https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/cudnn https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/python https://github.com/dusty-nv/jetson-containers/tree/master/packages/numpy https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/cmake/cmake_pip https://github.com/dusty-nv/jetson-containers/tree/master/packages/onnx |
| 被依赖项 | https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/torchaudio https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/torchvision |
| Dockerfile | https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/Dockerfile.pip |
| 镜像 | https://hub.docker.com/r/dustynv/pytorch/tags (2023-12-06, 5.4GB)https://hub.docker.com/r/dustynv/pytorch/tags (2023-12-14, 5.4GB)https://hub.docker.com/r/dustynv/pytorch/tags (2023-10-07, 5.4GB) |
pytorch:2.1 | |
|---|---|
| 别名 | torch:2.1 |
| 构建状态 | |
| 要求 | L4T ['>=35'] |
| 依赖项 | https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/build-essential https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/cuda https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/cudnn https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/python https://github.com/dusty-nv/jetson-containers/tree/master/packages/numpy https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/cmake/cmake_pip https://github.com/dusty-nv/jetson-containers/tree/master/packages/onnx |
| 被依赖项 | https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/torchaudio https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/torchvision |
| Dockerfile | https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/Dockerfile.pip |
| 镜像 | https://hub.docker.com/r/dustynv/pytorch/tags (2023-12-11, 5.4GB)https://hub.docker.com/r/dustynv/pytorch/tags (2023-12-14, 5.4GB)https://hub.docker.com/r/dustynv/pytorch/tags (2023-11-05, 5.4GB)https://hub.docker.com/r/dustynv/pytorch/tags (2023-12-14, 7.2GB) |
pytorch:2.2 | |
|---|---|
| 别名 | torch:2.2 pytorch torch |
| 要求 | L4T ['>=35'] |
| 依赖项 | https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/build-essential https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/cuda https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/cudnn https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/python https://github.com/dusty-nv/jetson-containers/tree/master/packages/numpy https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/cmake/cmake_pip https://github.com/dusty-nv/jetson-containers/tree/master/packages/onnx |
| 被依赖项 | https://github.com/dusty-nv/jetson-containers/tree/master/packages/audio/audiocraft https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/auto_awq https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/auto_gptq https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/awq https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/bitsandbytes https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/bitsandbytes https://github.com/dusty-nv/jetson-containers/tree/master/packages/vit/efficientvit https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/exllama https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/exllama https://github.com/dusty-nv/jetson-containers/tree/master/packages/vectordb/faiss_lite https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/flash-attention https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/gptq-for-llama https://github.com/dusty-nv/jetson-containers/tree/master/packages/jetson-inference https://github.com/dusty-nv/jetson-containers/tree/master/packages/l4t/l4t-diffusion https://github.com/dusty-nv/jetson-containers/tree/master/packages/l4t/l4t-ml https://github.com/dusty-nv/jetson-containers/tree/master/packages/l4t/l4t-pytorch https://github.com/dusty-nv/jetson-containers/tree/master/packages/l4t/l4t-text-generation https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/langchain https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/langchain https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/llava https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/local_llm https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/minigpt4 https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/mlc https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/mlc https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/nano_llm https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/nano_llm https://github.com/dusty-nv/jetson-containers/tree/master/packages/vectordb/nanodb https://github.com/dusty-nv/jetson-containers/tree/master/packages/vit/nanoowl https://github.com/dusty-nv/jetson-containers/tree/master/packages/vit/nanosam https://github.com/dusty-nv/jetson-containers/tree/master/packages/nemo https://github.com/dusty-nv/jetson-containers/tree/master/packages/openai-triton https://github.com/dusty-nv/jetson-containers/tree/master/packages/openai-triton https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/optimum https://github.com/dusty-nv/jetson-containers/tree/master/packages/rapids/raft https://github.com/dusty-nv/jetson-containers/tree/master/packages/vit/sam https://github.com/dusty-nv/jetson-containers/tree/master/packages/diffusion/stable-diffusion https://github.com/dusty-nv/jetson-containers/tree/master/packages/diffusion/stable-diffusion-webui https://github.com/dusty-nv/jetson-containers/tree/master/packages/vit/tam https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/tensorrt_llm https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/tensorrt_llm https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/tensorrt_llm https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/tensorrt_llm https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/text-generation-inference https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/text-generation-webui https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/text-generation-webui https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/text-generation-webui https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/torch2trt https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/torch_tensorrt https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/torchaudio https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/torchvision https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/transformers https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/transformers https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/transformers https://github.com/dusty-nv/jetson-containers/tree/master/packages/tvm https://github.com/dusty-nv/jetson-containers/tree/master/packages/audio/whisper https://github.com/dusty-nv/jetson-containers/tree/master/packages/audio/whisperx https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/xformers https://github.com/dusty-nv/jetson-containers/tree/master/packages/audio/xtts |
| Dockerfile | https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/Dockerfile.pip |
pytorch:2.3 | |
|---|---|
| 别名 | torch:2.3 |
| 要求 | L4T ['==36.*'] |
| 依赖项 | https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/build-essential https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/cuda https://github.com/dusty-nv/jetson-containers/tree/master/packages/cuda/cudnn https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/python https://github.com/dusty-nv/jetson-containers/tree/master/packages/numpy https://github.com/dusty-nv/jetson-containers/tree/master/packages/build/cmake/cmake_pip https://github.com/dusty-nv/jetson-containers/tree/master/packages/onnx |
| 被依赖项 | https://github.com/dusty-nv/jetson-containers/tree/master/packages/pytorch/torchaudio |
| Dockerfile | [Dockerfile.pip](https://github.com/dusty-nv/jetson |
更多相关 Docker 镜像与资源
以下是 dustynv/pytorch 相关的常用 Docker 镜像，适用于 不同场景 等不同场景：
- pytorch/pytorch Docker 镜像说明
- bitnami/pytorch Docker 镜像说明（PyTorch 深度学习框架，Bitnami 企业级配置）
- rocm/pytorch Docker 镜像说明（PyTorch 机器学习框架，ROCm GPU 加速版本）
- nvidia/cuda Docker 镜像说明
- dustynv/vllm Docker 镜像说明（高性能 LLM 推理服务）
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
DockerHub 原生拉取命令
docker pull dustynv/pytorch:<标签>
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