Comments (7)
How much memory does your GPU have?
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I am using GeForce GTX 1050ti Nvidia GPU, and it has 4037MiB memory.
from cyclegan.
It takes 3.2-3.9 GB to run the test code on my GTX 1080. You can resize input images to 256x256 and see if you can run the models.
from cyclegan.
I am new to this and trying to set it up to run on my system. Can I run it on 920MX Nvidea?
Sys. RAM : 12 GB
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from cyclegan.
@ankitkariryaa I also experience out of memory errors, though at a very specific point (on a custom data set):
Epoch: [5][ 652 / 1087] Time: 1.127 DataTime: 0.001 [A] G: 0.6206 D: 0.0382 Rec: 1.3148 I: -1.0000 || [B] G: 0.9072 D: 0.1196 Rec: 1.7579 I:-1.0000
saving the latest model (epoch 5, iters 5000)
THCudaCheck FAIL file=/home/rein/torch/extra/cutorch/lib/THC/generic/THCStorage.cu line=66 error=2 : out of memory
/home/rein/torch/install/bin/luajit: /home/rein/torch/install/share/lua/5.1/nn/THNN.lua:110: cuda runtime error (2) : out of memory at /home/rein/torch/extra/cutorch/lib/THC/generic/THCStorage.cu:66
stack traceback:
[C]: in function 'v'
(etc.)
On a GTX 1060
I.e. at the model saving point, as configured in
https://github.com/junyanz/CycleGAN/blob/master/options.lua#L31
At what point in time does the code throw OOMs?
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@reinvantveer I too experienced it only after some time, sorry I don't have the exact epoch number.
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Related Issues (20)
- Blurry image B, but clear image A reconstruction HOT 1
- try to use my own dataset on colab but fail.
- CSV file
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- Are there some points between "Tensorflow-simple" and "official implementation"?
- __global__ function call is not configured HOT 1
- Could you provide the tutorial and source codes of evaluation models for CycleGAN and CyCADA?
- network applicability HOT 1
- About the loss of the generator HOT 1
- Failure cases portraying war criminal
- About generate video
- pythorch to onnx conversion HOT 1
- Holes showing up while training HOT 4
- combine_A_and_B issue
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