I tried to train this network on my own dataset and met the issue with main .py file.
Whenever I try to change certain parameters as batch size, the value of i iterator for the moment of when I want to save the model or test the model, I receive the predicted results of 0 matrices or very strange values. But, while using vanilla code everything seems to work fine. Are those values somehow related to the code structure?
For the training I'm using DGX stations w/ Tesla V100.
CUDA 9, cudNN 7
Tensorflow 1.12.0
I tried to train this network on my own dataset and met the issue with main .py file. Whenever I try to change certain parameters as batch size, the value of i iterator for the moment of when I want to save the model or test the model, I receive the predicted results of 0 matrices or very strange values. But, while using vanilla code everything seems to work fine. Are those values somehow related to the code structure? For the training I'm using DGX stations w/ Tesla V100. CUDA 9, cudNN 7 Tensorflow 1.12.0