Dear friends, I have a train data X_train which is a numpy array with dimension of (36000,15,15,30), where 36000 is number of image samples, 15 is height of image,15 is width of image and 30 is the number of channels in a image. y_train is the integer array of shape (36000,1) that contains the class labels of corresponding train images. I am new to PyTorch. Can any one please suggest me the procedure for giving this numpy arrays as input to the CNN model and train the model. I would also request to suggest me how to evaluate the model after the training process.