Highlights for this release include: CUDA Driver / Runtime Buffer Interoperability, which allows applications using the CUDA Driver API to also use libraries implemented using the CUDA C Runtime. 19:28:51.245333: I tensorflow/core/common_runtime/direct_:300] Device mapping:ĭoes this mean it is using the GPU? It seems so but is just so much slower than I thought it would be. The installation procedure itself looks pretty straightforward, download the kit and install via the wizard. The CUDA Toolkit 3.0 Beta is now available. Select the GPU and OS version from the drop-down menus. Installing NVIDIA Graphic Drivers Install up-to-date NVIDIA graphics drivers on your Windows system. By downloading and using the software, you agree to fully comply with the terms and conditions of the CUDA EULA. job:localhost/replica:0/task:0/gpu:0 → device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0 For the latest compatibility software versions of the OS, CUDA, the CUDA driver, and the NVIDIA hardware, refer to the cuDNN Support Matrix. Click on the green buttons that describe your target platform. For the latest compatibility software versions of the OS, CUDA, the CUDA driver, and the NVIDIA hardware, refer to the cuDNN Support Matrix. Test that the installed software runs correctly and communicates with the hardware. ![]() Sess = tf.Session(config=tf.ConfigProto(log_device_placement=True)) The setup of CUDA development tools on a system running the appropriate version of Windows consists of a few simple steps: Verify the system has a CUDA-capable GPU. ![]() I’m thinking maybe I did something wrong and the laptop is actually using the CPU. Is it normal to take that amount of time? I thought my new laptop would be able to forward an image 20x faster with the GPU. NOTE: This release is a unified release of the NVIDIA Container Toolkit that consists of the following packages: libnvidia-container 1.14.0 nvidia-container-toolkit 1.14.0 nvidia-container-runtime 3.14.0 nvidia-docker2 2.14.0 The packages for this release are published to the libnvidia-container package repositories. With my new laptop, which has 1050Ti, it takes 13 milliseconds. Just one thing, I have one desktop with a very nice i7 CPU (altough a few years old), and it takes about 25 milliseconds to forward an image (using Alexnet).
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