Comments (4)
caijie0620
commented on July 22, 2024
It has GPU model for inference. My testing takes about 24 fps.
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JonathanLehner
commented on July 22, 2024
are you sure it uses the gpu? I get 24 fps with only cpu, without gpu i think. nvidia-smi shows almost no gpu activity. and tensorflow shows detected gpu devices 0. i installed cuda 10.1 and cudnn but it didn't heelp
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caijie0620
commented on July 22, 2024
Yes, i am sure it's using GPU. I used "watch nvidia-smi", it has gpu activity. I am using tf1.14 and cuda 10.0.
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JonathanLehner
commented on July 22, 2024
I re-installed cuda 10.0 according to here https://www.tensorflow.org/install/gpu#software_requirements and now it works
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Related Issues (20)
- How do I continue the training from the point where it stopped? I encountered a sudden shutdown HOT 3
- How to run the training on multiple GPUs?
- can you guys run TG with your Nvidia 30 series GPU？ HOT 3
- What's the difference between input_dir_LR and input_dir_HR? HOT 1
- Specify latest supported Tensorflow version HOT 1
- Error training own dataset - LR + HR HOT 2
- successful operation but no output HOT 1
- dataPrepare.py don't work
- Evaluation Metrics
- Low gpu usage
- testing test case 1
- Can anyone share the TG-Z415 model?
- self._handle = _dlopen(self._name, mode)
- Error when running runGan.py 1 on colab
- does not run python 3 runGan.py 0
- Any advice on Postprocessing
- Fleje
- Video
- Training the TecoGAN model into REDS Dataset
- ValueError: Moving average already computed for: generator_loss/content_loss/Mean:0
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