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Haskell bindings for TensorFlow
5b4017e31b
Two issues: - The definition of `\\` was missing parentheses. It was probably a bug that this used to worked in ghc-7.10. - Set `-fconstraint-solver-iterations=0` to work around https://ghc.haskell.org/trac/ghc/ticket/12175. It looks like we can trigger that bug when defining a significantly complicated op. Specifically, our type shenanigans ("OneOf") along with lens setters (for OpDef) seem to confuse GHC. Still TODO: automate testing of different ghc versions to prevent a regression. |
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|---|---|---|
| ci_build | ||
| docker | ||
| docs/haddock | ||
| google-shim | ||
| tensorflow | ||
| tensorflow-core-ops | ||
| tensorflow-mnist | ||
| tensorflow-mnist-input-data | ||
| tensorflow-nn | ||
| tensorflow-opgen | ||
| tensorflow-ops | ||
| tensorflow-proto | ||
| tensorflow-queue | ||
| tensorflow-test | ||
| third_party | ||
| tools | ||
| .gitignore | ||
| .gitmodules | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| README.md | ||
| stack.yaml | ||
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.