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I'm running this command
CUDA_VISIBLE_DEVICES=0 test.py --generator_checkpoint checkpoints/market/generator-no-warp.h5 --warp_skip none --dataset market
But I'm getting error
input_1:0 is both fed and fetched
tf==1.11.0 keras==2.2.3
Is there any ideas of how to solve it?
The text was updated successfully, but these errors were encountered:
It seems like in new tensorflow you can not return the input. You can alternatively try (in line 142 conditional_gan.py)
outputs = [input_img] + input_pose + [out, output_pose] + bg_img + warp_in_disc outputs = [keras.layers.Lambda(lambda x: ktf.identity(x))(out) for out in outputs]
I did not try this, so no idea if it works or no. So the simplest way would be to install the version I use: I use: tf==r1.3, keras==2.0.8
Sorry, something went wrong.
That works for me! Thank you!
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I'm running this command
CUDA_VISIBLE_DEVICES=0 test.py --generator_checkpoint checkpoints/market/generator-no-warp.h5 --warp_skip none --dataset market
But I'm getting error
input_1:0 is both fed and fetched
tf==1.11.0
keras==2.2.3
Is there any ideas of how to solve it?
The text was updated successfully, but these errors were encountered: