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Issue Description
[INSERT DESCRIPTION OF THE PROBLEM]
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- Please provide a reproducible code of your issue. Without any reproducible code, you will probably not receive any help.
[INSERT CODE HERE]
# ======================================================== #
###### THIS CODE IS AN EXAMPLE, REPLACE WITH YOUR OWN ######
# ======================================================== #
import tensorflow as tf
import tensorlayer as tl
x = tf.placeholder(tf.float32, [None, 64])
net_in = tl.layers.InputLayer(x)
net = tl.layers.DenseLayer(net_in, n_units=25, act=tf.nn.relu, name='relu1')
print("Output Shape:", net.outputs.get_shape().as_list()) ### Output Shape: [None, 25]
# ======================================================== #
###### THIS CODE IS AN EXAMPLE, REPLACE WITH YOUR OWN ######
# ======================================================== #
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