initialize_cuda_gpu_executor函数中定义了一个创建CUDAExecutor的匿名函数,而MakeCUDAExecutorImplementation函数实际上创建了一个全局的table,中间的等号赋值操作实际上就是把该匿名函数放到了全局instance中,这实际上就是一种简单的工厂模式,在StreamExecutor中存在多种类似的
In June of 2018 I wrote a post titledThe Best Way to Install TensorFlow with GPU Support on Windows 10 (Without Installing CUDA). That post has served many individuals as guide for getting a good GPU accelerated TensorFlow work environment running on Windows 10 without ne...
Currently not supported Multi-GPU support Acceleration for Intel GPUs V1 TensorFlow networks Questions and feedback To ask questions and share feedback about the tensorflow-metal plug-in, visit theApple Developer Forums.
具有GPU 支持的 TensorFlow 第二个选项通常更快,因为它使用您的计算机或设备中的 GPU,但是此安装需要 Nvidia 支持。 您还需要其他软件才能运行此安装,安装起来有点复杂。 在这里,为简便起见,我们将安装和使用 CPU 版本,因为除了速度之外,编写程序以及在 CPU 或 GPU 版本中运行程序没有区别。 我们使用以下代码行在...
TensorRT performs these optimizations automatically under the hood for you. All you need to specify is the UFF inference graph to optimize, the inference batch size, the amount of workspace GPU memory (used for CUDA kernel scratch space), and the target inference precision, as the following code...
For example, for building a JAR that uses TensorFlow and is targeted to be deployed only on Linux systems with no GPU support, you should add the following dependencies: <dependency> <groupId>org.tensorflow</groupId> <artifactId>tensorflow-core-api</artifactId> <version>1.0.0</version> </...
See theTensorFlow install guidefor thepip package, toenable GPU support, use aDocker container, andbuild from source. To install the current release, which includes support forCUDA-enabled GPU cards(Ubuntu and Windows): $ pip install tensorflow ...
#/job:localhost/replica:0/task:0/device:GPU:0 -> device: 0, name: Tesla K40c, pci bus# id: 0000:05:00.0# b: /job:localhost/replica:0/task:0/cpu:0# a: /job:localhost/replica:0/task:0/cpu:0# MatMul: /job:localhost/replica:0/task:0/device:GPU:0# [[ 22. 28.]# [ 49. ...
If you are installing TensorFlow with GPU support using one of the mechanisms described in this guide, then the following NVIDIA software must be installed on your system: CUDA® Toolkit 9.0. For details, see NVIDIA's documentation. Ensure that you append the relevant CUDA pathnames to the ...
Multinode Support No Multi-Arch Support No latest (Latest) Security Scan Results Linux/amd64 C OverviewTagsLayersSecurity ScanningRelated Collections What is Merlin for Recommender Systems? NVIDIA Merlin is a framework for accelerating the entire recommender systems pipeline on the GPU: from data ingest...