the tensorlayer's Droupout layer has trouble working with tf.placeholder? about insightface_tf HOT 7 OPEN

Have tried that already...no luck. I ended up using tf.dropout instead of tl.layers.DropoutLayer...

from insightface_tf.

Have tried that already...no luck. I ended up using tf.dropout instead of tl.layers.DropoutLayer...

I tried doing the same, but ended up with a lot of other errors. Can you tell me precisely the changes you made ?

        # net = tl.layers.DropoutLayer(net, keep=0.4, name='E_Dropout')
        net.outputs = tf.nn.dropout(net.outputs, keep_prob=keep_rate, name='E_Dropout')
        net_shape = net.outputs.get_shape()

something like this

from insightface_tf.

@tenggyut use pip3 install tensorlayer==1.7 may solve

from insightface_tf.

Have tried that already...no luck. I ended up using tf.dropout instead of tl.layers.DropoutLayer...

I tried doing the same, but ended up with a lot of other errors. Can you tell me precisely the changes you made ?

from insightface_tf.

That worked. Thanks!

from insightface_tf.

@tenggyut I use tf.dropout instead of tl.layers.DropoutLayer as

net.outputs = tf.nn.dropout(net.outputs, keep_prob=keep_rate, name='E_Dropout')
net_shape = net.outputs.get_shape()

but get an error ValueError: None values not supported.
how can i solve it.

from insightface_tf.

@tenggyut I use tf.dropout instead of tl.layers.DropoutLayer as

net.outputs = tf.nn.dropout(net.outputs, keep_prob=keep_rate, name='E_Dropout')
net_shape = net.outputs.get_shape()

but get an error ValueError: None values not supported.
how can i solve it.

Sadly, the error info you provide is not enough for me to identify the root cause...a stack trace would be helpful

A wild guess would be that None is accidentally assigned to keep_rate?

from insightface_tf.