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Haskell bindings for TensorFlow
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Greg Steuck 67690d1499 Initial commit
2016-10-24 19:26:42 +00:00
docker Initial commit 2016-10-24 19:26:42 +00:00
google-shim Initial commit 2016-10-24 19:26:42 +00:00
tensorflow Initial commit 2016-10-24 19:26:42 +00:00
tensorflow-core-ops Initial commit 2016-10-24 19:26:42 +00:00
tensorflow-mnist Initial commit 2016-10-24 19:26:42 +00:00
tensorflow-mnist-input-data Initial commit 2016-10-24 19:26:42 +00:00
tensorflow-opgen Initial commit 2016-10-24 19:26:42 +00:00
tensorflow-ops Initial commit 2016-10-24 19:26:42 +00:00
tensorflow-proto Initial commit 2016-10-24 19:26:42 +00:00
tensorflow-queue Initial commit 2016-10-24 19:26:42 +00:00
third_party Initial commit 2016-10-24 19:26:42 +00:00
.gitignore Initial commit 2016-10-24 19:26:42 +00:00
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CONTRIBUTING.md Initial commit 2016-10-24 19:26:42 +00:00
LICENSE Initial commit 2016-10-24 19:26:42 +00:00
README.md Initial commit 2016-10-24 19:26:42 +00:00
stack.yaml Initial commit 2016-10-24 19:26:42 +00:00

README.md

The tensorflow-haskell package provides Haskell bindings to TensorFlow.

This is not an official Google product.

Instructions

Build

For now docker is required. Once you have docker working, the following commands will compile and run the tests.

git clone --recursive https://github.com/tensorflow/haskell.git tensorflow-haskell
cd tensorflow-haskell
IMAGE_NAME=tensorflow/haskell:v0
docker build -t $IMAGE_NAME docker
# TODO: move the setup step to the docker script.
stack --docker --docker-image=$IMAGE_NAME setup
stack --docker --docker-image=$IMAGE_NAME test

There is also a demo application:

cd tensorflow-mnist
stack --docker --docker-image=$IMAGE_NAME build --exec Main