在这两个不同的Docker image起的容器上,编译后的PyTorch python库倒是能运行,但是一旦要使用CUDA功能的时候,就会报错:Error 804: forward compatibility was attempted on non supported HW。 python -c 'import torch; torch.randn([3,5]).cuda()' Traceback (most recent call last): File "<string>", l...
docker-image-name: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks runner_prefix: "${{ needs.get-default-label-prefix.outputs.label-type }}" test-matrix: | { include: [ { config: "cpu_inductor_huggingface", shard: 1, num_shards: 1, runner: "linux.8xlarge.amx" }, { config: ...
根据上述需求,本节内容包括创建Docker镜像、启动Docker容器、配置Conda环境、安装PyTorch和Python package、配置VS Code,其中前两部分内容需要用到Dockerfile、build_image.sh、init_container.sh、run_container.sh四个文件(四个文件需要放到同一个目录下),SSH也包含在前两部分内容之中。 一、创建Docker镜像 1. 建立Do...
docker Dcoker images runtime -> devel (huggingface#16141) Mar 15, 2022 docs Fix readme links and add CI check (huggingface#16392) Mar 24, 2022 examples Update readme with how to train offline and fix BPE command (huggingf… Mar 24, 2022 model_cards Remove tapas model card (huggingface#1...
# Additional libraries required by PyTorch AMD that aren't used by Caffe2 (not in Caffe2's docker image) if(NOT BUILD_ATEN_MOBILE) set(Caffe2_HIP_DEPENDENCY_LIBS ${Caffe2_HIP_DEPENDENCY_LIBS} ${hipsparse_LIBRARIES}) endif() # TODO: There is a bug in rocblas's c...
(64-bit runtime) Is CUDA available: False CUDA runtime version: No CUDA GPU models and configuration: No CUDA Nvidia driver version: No CUDA cuDNN version: No CUDA HIP runtime version: N/A MIOpen runtime version: N/A Versions of relevant libraries: [pip3] numpy==1.19.2 [pip3] ...
You need Python + pip >= 3.8 or Docker. To use your GPU, you need the NVIDIA CUDA Toolkit and an NVIDIA CUDA-capable GPU. For Docker + GPU, you also need thenvidia-docker 2.0 runtime. For your own training, tuning, and evaluation, you need theMUSDB18-HQ dataset. ...
based onnvidia/cuda:12.4.1-devel-ubuntu22.04 including a custom cuDNN 8 installation Install TensorFlow:pip install tensorflow Install PyTorch:pip install torch torchvision torchaudio Cross reference: Kernel crash when using tensorflow/pytorch notebook imagejupyter/docker-stacks#2111 ...
setup.py build_ext fail RuntimeError: Error compiling objects for extensionskyhehe123/SA-SSD#79 Open Copy link bryanbocaocommentedJun 15, 2021 I used this [docker image]docker pull nvidia/cuda:11.1-devel-ubuntu18.04 - installed conda then torch-nightly. ...
# syntax=docker/dockerfile:1 # Base image starts with CUDA ARG BASE_IMG=nvidia/cuda:12.1.1-devel-ubuntu22.04 ARG BASE_IMG=nvidia/cuda:12.4.1-devel-ubuntu22.04 FROM ${BASE_IMG} as base ENV BASE_IMG=nvidia/cuda:12.1.1-devel-ubuntu22.04 ENV BASE_IMG=nvidia/cuda:12.4.1-devel-ubuntu22.04...