From 802f52a2410ed20cea55e8c097b3875111a80824 Mon Sep 17 00:00:00 2001 From: Vasil Zlatanov Date: Mon, 4 Mar 2019 17:00:57 +0000 Subject: Use tqdm in dcgan --- dcgan.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/dcgan.py b/dcgan.py index a0a26c9..bc7e14e 100644 --- a/dcgan.py +++ b/dcgan.py @@ -10,6 +10,8 @@ from keras.optimizers import Adam import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec +from tqdm import tqdm + import sys import numpy as np @@ -125,7 +127,7 @@ class DCGAN(): xaxis = np.arange(epochs) loss = np.zeros((2,epochs)) - for epoch in range(epochs): + for epoch in tqdm(range(epochs)): # --------------------- # Train Discriminator @@ -153,8 +155,6 @@ class DCGAN(): # Plot the progress #print ("%d [D loss: %f, acc.: %.2f%%] [G loss: %f]" % (epoch, d_loss[0], 100*d_loss[1], g_loss)) - if epoch % 500 == 0: - print(epoch) loss[0][epoch] = d_loss[0] loss[1][epoch] = g_loss # If at save interval => save generated image samples -- cgit v1.2.3