ValueError: squeeze_dims[1] not in [-2,2). for 'Squeeze_1' (op: 'Squeeze') with input shapes: [?,2048].
youkaichao opened this issue · 1 comments
youkaichao commented
on the calculation of inception score, after pool3 = sess.graph.get_tensor_by_name('pool_3:0')
, I get pool3
with shape of [?, 2048], which makes the other line tf.matmul(tf.squeeze(pool3, [1, 2]), w)
hard to understand. why do you need to squeeze pool3
?
youkaichao commented
I'm sorry that I made a mistake.