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Dear authors,
thank you very much for the excellent work done in PlaidML.
Unfortunately, I am trying to use the PlaidML backend in Keras to calculate gradients, but I get the error below.
The o…
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# training configuration
noise_dim = 32
dim = 128
batch_size = 16
log_step = 200
epochs = 10000+1
learning_rate = 5e-5
beta_1 = 0.5
beta_2 = 0.9
betas = (beta_1, beta_2)
models_dir =…
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Hi
I am trying to run the code and when I run
python classifier.py --run_name=cifar10_classifier_ms_decay --dataset=cifar10 --image_size=32
I get
InvalidArgumentError (see above for traceback):…
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hi, thanks for the great work here. I tried to run the pretrained model but I get this error:
Using GPU 0
['Tesla K80']
{'cuda': 0, 'comment': 0, 'batch_size': 8, 'train_data_dir': '/content/drive/…
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It seems unreasonable. And it didn't work when I applied it to my own GAN model.
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When I implement PGGANs model to the dev branch, I faced 'cudnn PoolForward launch failed' error when doing average pooling.
I noticed that this error might be caused by GPU allocation. I got the …
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I have images 800 X 800 resizing in to 64 X 64 will lead to loss of lots of info so training on large resolution of image we have to change the whole network correct me if i am wrong.
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Hi! I have been struggling on running the project on my machine:
OS: Ubuntu 22.04
GPU: GeForce RTX 3080
Python: 3.8
I spent few days to make it work! Here I will share how I solved this step …
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Hi @A03ki,
I want to train f-anogan using pcam dataset. I have two questions:
1. How should I edit the code/directory structure to get it to work with training files in h5 format?
2. Will the co…
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Hello,
Is it possible to build in the Wasserstein loss for pix2pix?
Maybe someone already has the code?
Thank you.