Open navy63 opened 4 years ago
train: epoch 499 : 16/ 20: loss: 92.8000 train: epoch 499 : 17/ 20: loss: 107.7473 train: epoch 499 : 18/ 20: loss: 99.2222 train: epoch 499 : 19/ 20: loss: 92.0033 train: epoch 499 : 20/ 20: loss: 87.1613 train: epoch 500 : 1/ 20: loss: 92.2146 train: epoch 500 : 2/ 20: loss: 94.4258 train: epoch 500 : 3/ 20: loss: 91.5383 train: epoch 500 : 4/ 20: loss: 88.9754 train: epoch 500 : 5/ 20: loss: 120.8435 train: epoch 500 : 6/ 20: loss: 87.1991 train: epoch 500 : 7/ 20: loss: 113.6191 train: epoch 500 : 8/ 20: loss: 65.9736 train: epoch 500 : 9/ 20: loss: 61.3054 train: epoch 500 : 10/ 20: loss: 103.8710 train: epoch 500 : 11/ 20: loss: 84.5174 train: epoch 500 : 12/ 20: loss: 99.2449 train: epoch 500 : 13/ 20: loss: 89.7561 train: epoch 500 : 14/ 20: loss: 107.5378 train: epoch 500 : 15/ 20: loss: 110.6297 train: epoch 500 : 16/ 20: loss: 104.3139 train: epoch 500 : 17/ 20: loss: 82.2448 train: epoch 500 : 18/ 20: loss: 127.6959 train: epoch 500 : 19/ 20: loss: 79.3800 train: epoch 500 : 20/ 20: loss: 94.1195
@navy63 I have the same problem. Do you fix it?
出现错误vl_nnconv An input is not a numeric array (or GPU support not compiled). 在命令窗口输入:vl_compilenn('enableGpu', true)
you can try it like this
try nnet.internal.cnngpu.reluForward(1); catch ME end
Good luck for you
The training is normal. The following problems are encountered in the testing process. wrong with vl_nnbnorm vl::impl::dispatch_cudnn<C, CU>::operator(): BatchNormForwardWithMomentCudnn::operator(): cuDNN error [cudnn:
"d:\matlab\r2018b\bin\matconvnet-1.0-beta25\matlab\src\bits\nnbnorm_cudnn.cu":155 (CUDNN_STATUS_BAD_PARAM)]