cudnn

来源： https://stackoverflow.com/questions/63179991/why-does-conda-list-cudnn-have-no-output-after-conda-install-pytorch-torchvis

问题 I have installed TensorFlow 1.7 on an Ubuntu 16.04 with Cuda 9.0 and CuDNN 7.0.5 and vanilla Python 2.7 and although they samples for both CUDA and CuDNN run fine, and TensorFlow sees the GPU (so some TensorFlow examples run), those that use CuDNN (like most CNN examples) do not. They fail with these Informational messages: 2018-04-10 16:14:17.013026: I tensorflow/stream_executor/plugin_registry.cc:243] Selecting default DNN plugin, cuDNN 25428 2018-04-10 16:14:17.013100: E tensorflow/stream

问题 I have installed TensorFlow 1.7 on an Ubuntu 16.04 with Cuda 9.0 and CuDNN 7.0.5 and vanilla Python 2.7 and although they samples for both CUDA and CuDNN run fine, and TensorFlow sees the GPU (so some TensorFlow examples run), those that use CuDNN (like most CNN examples) do not. They fail with these Informational messages: 2018-04-10 16:14:17.013026: I tensorflow/stream_executor/plugin_registry.cc:243] Selecting default DNN plugin, cuDNN 25428 2018-04-10 16:14:17.013100: E tensorflow/stream

问题 I have installed TensorFlow 1.7 on an Ubuntu 16.04 with Cuda 9.0 and CuDNN 7.0.5 and vanilla Python 2.7 and although they samples for both CUDA and CuDNN run fine, and TensorFlow sees the GPU (so some TensorFlow examples run), those that use CuDNN (like most CNN examples) do not. They fail with these Informational messages: 2018-04-10 16:14:17.013026: I tensorflow/stream_executor/plugin_registry.cc:243] Selecting default DNN plugin, cuDNN 25428 2018-04-10 16:14:17.013100: E tensorflow/stream

问题 I have installed TensorFlow 1.7 on an Ubuntu 16.04 with Cuda 9.0 and CuDNN 7.0.5 and vanilla Python 2.7 and although they samples for both CUDA and CuDNN run fine, and TensorFlow sees the GPU (so some TensorFlow examples run), those that use CuDNN (like most CNN examples) do not. They fail with these Informational messages: 2018-04-10 16:14:17.013026: I tensorflow/stream_executor/plugin_registry.cc:243] Selecting default DNN plugin, cuDNN 25428 2018-04-10 16:14:17.013100: E tensorflow/stream

问题 I am using PyTorch. I am going to use the already trained model on multiple GPUs with CPU. how to do this task? I tried on Anaconda 3 and pytorch with cpu only i dont have gpu model = models.get_pose_net(config, is_train=False) gpus = [int(i) for i in config.GPUS.split(',')] model = torch.nn.DataParallel(model, device_ids=gpus).cuda() print('Created model...') print(model) checkpoint = torch.load(config.MODEL.RESUME) model.load_state_dict(checkpoint) model.eval() print('Loaded pretrained

问题 I am using PyTorch. I am going to use the already trained model on multiple GPUs with CPU. how to do this task? I tried on Anaconda 3 and pytorch with cpu only i dont have gpu model = models.get_pose_net(config, is_train=False) gpus = [int(i) for i in config.GPUS.split(',')] model = torch.nn.DataParallel(model, device_ids=gpus).cuda() print('Created model...') print(model) checkpoint = torch.load(config.MODEL.RESUME) model.load_state_dict(checkpoint) model.eval() print('Loaded pretrained

问题 I'm trying to create machinelearing in python 3. but then i trying to compile my code i got this error in Cuda 10.0/cuDNN 7.5.0, can some one help me with this? RTX 2080 I'm on: Keras (2.2.4) tf-nightly-gpu (1.14.1.dev20190510) Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR Code erorr: tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was

问题 I installed Tensorflow 1.6.0 - GPU version with anaconda in a Python 3.6.4 environment. When I do import tensorflow as tf , I get the following error: ImportError: libcudnn.so.7: cannot open shared object file: No such file or directory The different versions: cudnn : 7.1.1 cuda : 9.0.176 tensorflow : 1.6.0 Ubuntu : 16.04 I am aware of this but it did not solve my problem. 回答1: I installed the nvidia-cuda-toolkit package: $ sudo apt install nvidia-cuda-toolkit and it worked. I did not find

问题 I installed Tensorflow 1.6.0 - GPU version with anaconda in a Python 3.6.4 environment. When I do import tensorflow as tf , I get the following error: ImportError: libcudnn.so.7: cannot open shared object file: No such file or directory The different versions: cudnn : 7.1.1 cuda : 9.0.176 tensorflow : 1.6.0 Ubuntu : 16.04 I am aware of this but it did not solve my problem. 回答1: I installed the nvidia-cuda-toolkit package: $ sudo apt install nvidia-cuda-toolkit and it worked. I did not find