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README.md

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[![test](https://github.com/takuseno/tensor-bridge/actions/workflows/test.yaml/badge.svg)](https://github.com/takuseno/tensor-bridge/actions/workflows/test.yaml)
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# tensor-bridge
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`tensor-bridge` is a light-weight library that achieves inter-library tensor transfer by native `cudaMemcpy` call for minimal overheads.
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`tensor-bridge` is a light-weight library that achieves inter-library tensor transfer by native `cudaMemcpy` call with minimal overheads.
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```py
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import torch
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copy_tensor(jax_data, torch_data)
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```
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:warning: Currently, this repository is under active development. Espeically, transfer between different layout of tensors are not implemented yet. I recommend to try `copy_tensor_with_assertion` before starting experiments. `copy_tensor_with_assertion` will raise an error if copy doesn't work.
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:warning: Currently, this repository is under active development. Especially, transfer between different layout of tensors is not implemented yet. I recommend to try `copy_tensor_with_assertion` before starting experiments. `copy_tensor_with_assertion` will raise an error if copy doesn't work.
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If `copy_tensor_with_assertion` raises an error, you need to force the tensor to be contiguous:
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```py
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# PyTorch example
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## Installation
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### PyPI
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If PyPi installation doesn't work, please try installation from source code.
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If pip installation doesn't work, please try installation from source code.
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#### Python 3.10.x
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You can install pre-built package.
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You can install a pre-built package.
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```
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pip install tensor-bridge
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```
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```
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## Unit test
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You machine needs to install NVIDIA's GPU and nvidia-driver to execute tests.
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Your machine needs to install NVIDIA's GPU and nvidia-driver to execute tests.
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```
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./bin/build-docker
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./bin/test

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