🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support - huggingface/accelerate
Launch on Multi-Node 在多个节点上执行训练,需要执行下面操作: 将代码和数据拷贝到所有节点或者共享文件系统; 在所有节点上安装需要的python package; 先在master节点上执行accelerate config,指定num_machines和machine_rank,master节点的machine_rank为0并指定主进程的IP:Port来与worker节点通信;然后将配置文件拷贝到wor...
-`Accelerate`version: 0.11.0.dev0 - Platform: Linux-5.10.0-15-cloud-amd64-x86_64-with-debian-11.3 - Python version: 3.7.12 - Numpy version: 1.19.5 - PyTorch version(GPU?): 1.12.0+cu102(True)-`Accelerate`default config: - compute_environment: LOCAL_MACHINE - distributed_type: MULTI_...
Python version: 3.10.9 Huggingface_hub version: 0.11.1 PyTorch version (GPU?): 1.13.1 (True) Tensorflow version (GPU?): not installed (NA) Flax version (CPU?/GPU?/TPU?): not installed (NA) Jax version: not installed JaxLib version: not installed Using GPU in script?: Yes Using distr...
开发非UI功能,使用ts开发而非ets开发对应用有哪些影响(内存、CPU、hap大小等方面) 如何判断App的启动来源 如何获取当前页面对应的UIAbility名称 如何判断应用当前在前台/后台 如何设置应用自动重启 如何获取设备上安装的应用列表数据 如何判断当前应用程序是Debug包还是Release包 如何判断应用程序是否安装 UIAb...
For Image, choose PyTorch 2.1.0 Python 3.10 CPU Optimized. Confirm that your notebook shows the correct instance and kernel selection. Open a terminal by choosing Launch Terminal in the current SageMaker image. Install the Docker CLI and Docker Compose plugin following the in...
For Image, choose PyTorch 2.1.0 Python 3.10 CPU Optimized. Confirm that your notebook shows the correct instance and kernel selection. Open a terminal by choosing Launch Terminal in the current SageMaker image. Install the Docker CLI and Docker Compose plugin following the i...
While the CUDA ecosystem provides many ways to accelerate applications, R cannot directly call CUDA libraries or launch CUDA kernel functions. To solve this problem, we need to build an interface to bridge R and CUDA the development layer of Figure 1 shows. For productivity, we should also ...
Intel Optimization for TensorFlow on Ubuntu Container 2.9.1-ubuntu-22.04 contains support for Intel Optimization for TensorFlow version 2.9.1 with Ubuntu 22.04 and Python 3.10. Delivery Method: Container BERT FP32 Training and oneDNN with TensorFlow ...
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