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dear all,
can some one tel me how i can load checkpoint in to train.py?
i was trying this:
python train.py --mixing lmdb --ckpt checkpoint/010000.model
resoult:
File "train.py", line 321, …
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Hello,
recently I'm reproducing your work, and have successfully completed the training process.
When Test, I have got a problem.
i) The json file of test says the model = "sr", which means it la…
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#### Bug Report Checklist
- [x] Have you provided a full/minimal spec to reproduce the issue?
- [x] Have you validated the input using an OpenAPI validator ([example](https://apidevtools.org/swagg…
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Hi,
I've been trying everything I could to figure out why "instantiating" a new instance of the discriminating schema didn't work for me. The below is my schema and x-ms-examples:
```json
"…
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Hi, I'm trying to do something like this: to have zebras and horses in the same picture and switch each one into the other kind.
With CycleGAN you can get very good models that for instance get pic…
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Hello man,
in model.py
line 111 `self.D_, self.D_logits_ = self.discriminator(self.G, self.y, reuse=True)`
line 311
d_loss
is it a bug ?
may be it should be
sigmoid_cross_e…
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If discriminator property for mapping types is of type string and not defined to be required, generation of go-code fails for MergeXYZ and FromXYZ methods.
In both methods, default values are assig…
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Hi, dear Li-Wei
I am working on dysarthric voice conversion and I want to use your idea in the " Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech " paper.
I saw…
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Excellent job. Can you please provide a pretrained model for the further research?
dleam updated
5 years ago
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Is the discriminator loss wrong?
"D_loss_real = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=D_logit_real, labels=tf.ones_like(D_logit_real)), 1)
D_loss_fake = tf.reduce_mean(tf…