ValueError: mismatch: got 20 values to set 18 parameters about salgan HOT 6 CLOSED

Hi @wangxiao5791509 ,

Sorry, the key for the discriminator was wrong, please try this:
load_weights(net=model.discriminator['prob'], path="test/discrim_", epochtoload=90)

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@junting Thanks your kind replay. But still get wrong, the same problem: mismatched. Does it caused by input image size ? I keep it the same as yours, but still can not run smoothly ...

Traceback (most recent call last):
File "wangxiao-02-train.py", line 187, in
train()
File "wangxiao-02-train.py", line 169, in train
load_weights(net=model.discriminator['prob'], path="./discrim_", epochtoload=90)
File "/media/wangxiao/724eaeef-e688-4b09-9cc9-dfaca44079b2/saliency-salgan-2017-master-tracking/scripts/utils.py", line 24, in load_weights
lasagne.layers.set_all_param_values(net, param_values)
File "/home/wangxiao/Lasagne/src/lasagne/lasagne/layers/helper.py", line 518, in set_all_param_values
(p.get_value().shape, v.shape))
ValueError: mismatch: parameter has shape (12288, 100) but value to set has shape (12288, 60)

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Hi, guys. I met the same problem. Have you solved it? Looking forward to your reply!

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I mean, ValueError: mismatch: parameter has shape (12288, 100) but value to set has shape (12288, 60)

from salgan.

The same problem "ValueError: mismatch: parameter has shape (12288, 100) but value to set has shape (12288, 60)".

Can anyone help with this?

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+1
ValueError: mismatch: parameter has shape (12288, 100) but value to set has shape (12288, 60)
anyone knows whats going on?

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