data generator tensorflow

def __data_generation (self, list_IDs_temp): ' Generates data containing batch_size samples ' # X : (n_samples, *dim, n_channels) # Initialization X = np. world cup data empty((self. data pengeluaran singapore 49 batch_size, * self dim, self n_channels)) y = np empty((self batch_size), dtype = int) # Generate data for i, ID in enumerate (list_IDs_temp): # Store sample X[i,] = np load(' data