66f0a5c87917f0abe95f660ea71aa470b2625a40,train.py,,evaluate,#,297

Before Change

    // print(valid_lr_img.min(), valid_lr_img.max())

    G = get_G([1, None, None, 3])
    G.load_weights(checkpoint_dir + "/g_{}.h5".format(tl.global_flag["mode"]))
    G.eval()

    out = G(valid_lr_img).numpy()

After Change

    G = get_G([1, None, None, 3])
    // G.load_weights(checkpoint_dir + "/g_{}.h5".format(tl.global_flag["mode"]))
    G.load_weights("g_srgan.npz")
    G.eval()

    out = G(valid_lr_img).numpy()

Instances