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Ln-44:
e=tf.random_normal((batch_size,z_size), mean=0, stddev=1) # Qsampler noise
I think it should be placed into the funcion sampleQ. Or else the inference will fail.
However, when I made such a modification, the Lz loss-curve will increase instead of decline, as shown here:
Why?
The text was updated successfully, but these errors were encountered:
Ln-44:
e=tf.random_normal((batch_size,z_size), mean=0, stddev=1) # Qsampler noise
I think it should be placed into the funcion sampleQ. Or else the inference will fail.
However, when I made such a modification, the Lz loss-curve will increase instead of decline, as shown here:
Why?
The text was updated successfully, but these errors were encountered: