Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://pypi.org/project/lightgbm/#build-gpu-version
https://github.com/microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
https://www.kaggle.com/vinhnguyen/gpu-acceleration-for-lightgbm
Microsoft's Example Dockerfile for GPU version of LightGBM …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
The article Stop Installing Tensorflow using pip for performance sake! suggest installing TensorFlow using conda instead of pip as the version installed by conda leverages Intel Math Kernel Library and …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://pytorch.org/docs/master/notes/cuda.html
You can use the command torch.cuda.is_available()
to check whether GPU is available for PyTorch.
Details of GPUs can …
inception_v3 requires an input of (299, 299)
while other models requires an input of (224, 224).
Due to adaptive pooling used in some models,
they can run on varying sized intput without throwing errors
(but the results are usually not correct).
You have to resize/crop an image to be the right input size
(and then other necessary transformations, e.g., to_tensor
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://pytorch.org/docs/stable/torchvision/index.html
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
GPU is more accisible for average individual people. GPU is still the main tool for deep learning right now.
Python Distributed Computing Frameworks (Ray, Modin, etc.) servers as a mid solution …