Some Questions on Test stage

[DingXiaoKe]

The first stage training is very effective, but when I want to test the accuracy, some issues turned out:

1. in the model.py anomaly_detector() self.ano_y = none. it will report an error in the def _sampler: yb = tf.reshape(y, [-1, 1, 1, self.y_dim]),because none cannot be reshaped. 2.and when test, the batch_size is set to 1, the self.batch_size in _sampler should also be set to 1. 3.After I modify these codes, and change the input from images into the same data with train, the samples are just like some noises, and I wonder why.

[lzzlxxlsz]

你好，你的测试结果出来了吗，生成的图片跟测试图片长的像吗

[sachitha-bandara]

@lzzlxxlsz I tested the images and no, the generated images seem to be noise and the other image is most likely the gray scale image of the test image.