like a convolutional layer, but without any weight-sharing. That is to say, a different set of filters is applied at every (x, y) location in the input image. Aside from that, it behaves exactly as a convolutional layer." IUUQTDPEFHPPHMFDPNQDVEBDPOWOFUXJLJ-BZFS1BSBNT-PDBMMZ [email protected]@[email protected]@XFJHIUT
tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcublas.so locally I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so locally I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so locally I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so locally Filling queue with 400 CIFAR images before starting to train. This will take a few minutes. E tensorflow/stream_executor/cuda/cuda_driver.cc:481] failed call to cuInit: CUDA_ERROR_NO_DEVICE