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How this happen? #945
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`import edward as ed x_train = np.linspace(-3, 3, num=10) W_0 = Normal(loc=tf.zeros([1, 2]), scale=tf.ones([1, 2])) x = x_train qW_0 = Normal(loc=tf.get_variable("qW_0/loc", [1, 2]), inference = ed.KLqp({W_0: qW_0, b_0: qb_0, W_1: qW_1, b_1: qb_1}, data={y: y_train}) ` |
Traceback (most recent call last): |
I'm having the same problem when using the ed.copy() |
I use the example code,but…
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