bn after xnor not working

[uuleon]

error: ValueError: ('Input has undefined rank:', TensorShape(None))

[uuleon]

update: reshape the tensor before BN seems working

[AngusG]

Do you mind providing some more details about the error you encountered and how it can be reproduced? How did you reshape the tensor to resolve the issue?

[uuleon]

fc2 = tf.nn.dropout(xnor_gemm(fc1, Wb_2), self.keep_prob) fc2 = tf.reshape(fc2, [-1, self.n_hidden])
That is what i do to make it work.

And i meet another problem, when matrix m * n multiply n * k, the xnor gemm operator cannot work if m != n != k. And i fixed it by myself.

[uuleon]

I have realized that some detail of your code match this paper, http://ai2-website.s3.amazonaws.com/publications/XNOR-Net.pdf. Am i right?

[Zoro95]

@uuleon Do you mind telling me how to fix the problem occurred when matrix m * n multiply n * k ?