#DLPack - Twitter Hashtag

about 4 years ago

Just released dlpackrs which is a safe idiomatic #rustlang binding to the standard in-memory format #dlpack used in all major #deeplearning and #arraycomputing frameworks. Check it out here https://t.co/gOqrWHglCL

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Kornia @kornia_foss

almost 5 years ago

We strongly support the #dlpack tensor protocol.

Edgar @edgarriba

almost 5 years ago

Interesting new feature from @numpy_team to interoperate between numpy arrays and @PyTorch tensors. Learn more about dlpack here: https://t.co/nGdRUyAgjY #opensource #DeepLearning #MachineLearning

edgarriba's tweet photo. Interesting new feature from @numpy_team to interoperate between numpy arrays and @PyTorch tensors.

Learn more about dlpack here: https://t.co/nGdRUyAgjY

#opensource #DeepLearning #MachineLearning https://t.co/GYWwVJXElj

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Josh Patterson @datametrician

almost 6 years ago

All integrated thanks to @ApacheArrow #DLPack and #CUDA_array_interface. All running on the GPU. All easy to use on #Slurm, @kubernetesio, or #yarn. If you're not moving to GPU... you're wasting time and money.

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Josh Patterson @datametrician

about 6 years ago

@rapidsai @vinayprabhu @PyTorch Agreed. We have interop with @PyTorch via #DLPack and they already good implementations.

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Josh Patterson @datametrician

almost 7 years ago

@sunitachandra29 @rapidsai @hpcprogrammer @mhferrato I believe converted to #numpy first. With @PyTorch and @ChainerOfficial we can use #DLPack and #__cuda_array_interface__ but I don't think Keras or @TensorFlow have support for this yet, but TF is working on it. @Even_Oldridge anything you would add?

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Shunta Saito

@mitmul

over 8 years ago

The PR for DLPack support in CuPy has been merged! Now you can convert CuPy ndarray into PyTorch tensor with zero-copy, and vice versa. You can also convert it into other tensor formats used in libraries which support DLPack too. #CuPy #DLPack https://t.co/b1nwjGuq2V

mitmul's tweet photo. The PR for DLPack support in CuPy has been merged! Now you can convert CuPy ndarray into PyTorch tensor with zero-copy, and vice versa. You can also convert it into other tensor formats used in libraries which support DLPack too. #CuPy #DLPack https://t.co/b1nwjGuq2V https://t.co/vKsUDEpr7A

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