problems when test checkpoint files

[menyifang]

Hi, Thank you for your great work! I have encountered some inexplicable problems when using your checkpoints. when I test in fashion dataset as: run python test.py --generator_checkpoint ./checkpoints/generator-warp-mask-nn5-cl12.h5 --warp_skip mask Have encountered the previous error： "tensorflow.python.framework.errors_impl.InvalidArgumentError: input_1:0 is both fed and fetched." Then I fix it by replacing line142 with ： 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] return Model(inputs=[input_img] + input_pose + [output_img, output_pose] + bg_img + warp, outputs=outputs)

However, there is another new problem in the running process. Traceback (most recent call last): File "/data00/home/menyifang/code/comparison/pose-gan/test.py", line 152, in test() File "/data00/home/menyifang/code/comparison/pose-gan/test.py", line 119, in test input_images, target_images, generated_images, names = generate_images(dataset, generator, args.use_input_pose) File "/data00/home/menyifang/code/comparison/pose-gan/test.py", line 91, in generate_images out = generator.predict(batch) File "/data00/home/menyifang/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/engine/training.py", line 1462, in predict callbacks=callbacks) File "/data00/home/menyifang/anaconda3/envs/tfgpu/lib/python3.6/site-packages/keras/engine/training_arrays.py", line 324, in predict_loop batch_outs = f(ins_batch) File "/data00/home/menyifang/anaconda3/envs/tfgpu/lib/python3.6/site-packages/tensorflow/python/keras/backend.py", line 3076, in call run_metadata=self.run_metadata) File "/data00/home/menyifang/anaconda3/envs/tfgpu/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1439, in call run_metadata_ptr) File "/data00/home/menyifang/anaconda3/envs/tfgpu/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 528, in exit c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InvalidArgumentError: output dimensions must be positive [[{{node affine_transform_layer_2/ResizeNearestNeighbor}}]] [[{{node lambda_3/Identity}}]]

Is there an idea to solve this problem? version I use: tf 1.13.1, keras 2.3.0

[AliaksandrSiarohin]

Never saw a problem like this. This happens for both market and fashion? Have you tried to use keras==2.0.8 tensorflow==1.5.0 ?

[menyifang]

I created envs as yours (keras==2.0.8, tensorflow==1.5.0) and it was solved. Thank you!