Dynamic image size [batch, None, None, 3] error.

[zsdonghao]

Dynamic image size [batch, None, None, 3] error.

[zsdonghao]

@riokt I solved this problem, please check the SRGAN implementation https://github.com/zsdonghao/SRGAN

[zsdonghao]

@SystemErrorWang please update your TensorLayer version, it will support dynamic image size.

[riokt]

I got same problem.

[riokt]

@zsdonghao Nice. Thank you

[SystemErrorWang]

@zsdonghao Hello, I tried to contact you through tencent QQ, but mention again here if you didn't see it. Hope you can give me some help, thanks.
I tried to check your tensorlayer code but failed to figure out how you solve this problem. The subpixel conv2d is not capable of dealing with placeholder with shape [batch_size, None, None, 3] as tf.reshape is used, and I also tried to save and restore network parameters in npz file format, but tensorflow still give me this: "You must feed a value for placeholder tensor 'Placeholder' with dtype float and shape [?,48,48,3]". However, the tensorlayer based SRGAN code can test on a whole DIV2K image.
So I would like to know what method you used in tensorlayer that solved this problem.

[SystemErrorWang]

@zsdonghao I tried the tensorlayer script and it succeeded, but still I would like to know if there is any method to deal with it in native tensorflow, thanks.

[zsdonghao]

@SystemErrorWang hi, you can just simply copy the core codes from TensorLayer's layer.

[SystemErrorWang]

@zsdonghao Thank, I solved this problem
@riokt You can simply use tf.shape(X) to substitute X.get_shape() in PS() function, and set input placeholder to be shaped [None, None, None, 3]

[lhanappa]

@zsdonghao @SystemErrorWang
Hi, good day. As the implementation of Tensorlayer, if I understand correctly, the function of_phase_shift() is equal to "depth_to_space"?
https://www.tensorflow.org/api_docs/python/tf/nn/depth_to_space

[SystemErrorWang]

@lhanappa I didn't test this function myself, but I think they are theorically the same. Guess you can do some experiments.

[lhanappa]

@SystemErrorWang Thanks, yes, I already did.
"depth_to_space" and "space_to_depth" are two reciprocal functions for expanding/compressing channels in native tensorflow.