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Haskell bindings for TensorFlow
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fkm3 03a3a6d086 Misc MNIST example cleanup (#9) 
* Use native oneHot op in the example code. It didn't exist when this was originally written.
* Misc cleanup in MNIST example

- Use unspecified dimension for batch size in model. This simplifies the
  code for the test set.
- Move error rate calculation into model.
2016-10-26 11:14:38 -07:00
docker Update docker image name and maintainer. (#1) 2016-10-24 19:19:26 -07:00
docs/haddock Haddock (#3) 2016-10-25 12:43:06 -07:00
google-shim Initial commit 2016-10-24 19:26:42 +00:00
tensorflow Compile on platforms where int64_t == long long. (#6) 2016-10-25 22:26:42 -07:00
tensorflow-core-ops Blacklist the SaveV2 and RestoreV2 ops which need Tensor lists. (#7) 2016-10-25 23:19:19 -07:00
tensorflow-mnist Misc MNIST example cleanup (#9) 2016-10-26 11:14:38 -07:00
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 Misc MNIST example cleanup (#9) 2016-10-26 11:14:38 -07:00
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
tools Haddock (#3) 2016-10-25 12:43:06 -07:00
.gitignore Initial commit 2016-10-24 19:26:42 +00:00
.gitmodules Initial commit 2016-10-24 19:26:42 +00:00
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 Add instructions for building on Mac OS X. (#8) 2016-10-26 11:13:42 -07:00
stack.yaml Add instructions for building on Mac OS X. (#8) 2016-10-26 11:13:42 -07:00

README.md

The tensorflow-haskell package provides Haskell bindings to TensorFlow.

This is not an official Google product.

Instructions

Build with Docker on Linux

As an expedient we use docker for building. 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

Build on Mac OS X

The following instructions were verified with Mac OS X El Capitan.

  • Install dependencies via Homebrew:

      brew install swig
  brew install bazel

  • Build the TensorFlow library and install it on your machine:

      cd third_party/tensorflow
  ./configure  # Choose the defaults when prompted
  bazel build -c opt tensorflow:libtensorflow_c.so
  install bazel-bin/tensorflow/libtensorflow_c.so /usr/local/lib
  cd ../..

  • Run stack:

      stack test

Note: you may need to upgrade your version of Clang if you get an error like the following:

tensorflow/core/ops/ctc_ops.cc:60:7: error: return type 'tensorflow::Status' must match previous return type 'const ::tensorflow::Status' when lambda expression has unspecified explicit return type
    return Status::OK();

In that case you can just upgrade XCode and then run gcc --version to get the new version of the compiler.