How to reduce the GPU memory using about chainer-neural-style HOT 5 OPEN

It is usual to consume 2.5G memory.
VGG model takes a large amount of memory.
Memory usage depends on image size and you can reduce memory usage by using -w image_size(or --width image_size) option with small size.
I don't know another way to reduce memory.

from chainer-neural-style.

I know a way to reduce memory.
Try to use Adam optimizer,It will reduce the memory three times,(less than 1g),but I just know this way,I dont know how to implement it in chainer,Hopefully one day you can update it and let the user can choose Adam optimizer;

from chainer-neural-style.

Thank you for your reply.
Chainer supports Adam optimizer and it is easy to use it.
To use Adam, replace this line(https://github.com/dsanno/chainer-neural-style/blob/master/src/style_transfer_runner.py#L52) with optimizer = chainer.optimizers.Adam(10.0)
(I don't know the optimal learning rate for Adam optimizer, but this value seems to work.)

I've tried Adam, but memory usage is almost the same as LBFGS.

from chainer-neural-style.

Hi,Now I have tried Adam,I found that it's useful for using Adam,It just spend a half memory.
Two more question
1、Do you know how to limit the gpu usage(for example limit it in 1G) in this chainer neural style code.
2、What is the meaning of “--resolution （1，2，3）”

from chainer-neural-style.

1、Do you know how to limit the gpu usage(for example limit it in 1G) in this chainer neural style code.

I think Chainer doesn't have a function to limit GPU usage.
Ask Chainer developers.

2、What is the meaning of “--resolution （1，2，3）”

"resolution" means style transfer starts from small image and double the size of it some iterations.
For example --resolution 3 --width 512

1. starts from 128px image and
2. optimize image for some iterations and double the size of the image (to 256px)
3. optimize image for some iterations and double the size of the image (to 512px)
4. optimize image for some iterations and style transfer finishes.

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