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The right approach is to run `install_name_tool` on the library after renaming its extension from ".so" to ".dylib".
55 lines
2 KiB
Markdown
55 lines
2 KiB
Markdown
[](https://ci.tensorflow.org/job/tensorflow-haskell-master)
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The tensorflow-haskell package provides Haskell bindings to
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[TensorFlow](https://www.tensorflow.org/).
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This is not an official Google product.
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# Instructions
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## Build with Docker on Linux
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As an expedient we use [docker](https://www.docker.com/) for building. Once you have docker
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working, the following commands will compile and run the tests.
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git clone --recursive https://github.com/tensorflow/haskell.git tensorflow-haskell
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cd tensorflow-haskell
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IMAGE_NAME=tensorflow/haskell:v0
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docker build -t $IMAGE_NAME docker
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# TODO: move the setup step to the docker script.
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stack --docker --docker-image=$IMAGE_NAME setup
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stack --docker --docker-image=$IMAGE_NAME test
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There is also a demo application:
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cd tensorflow-mnist
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stack --docker --docker-image=$IMAGE_NAME build --exec Main
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## Build on Mac OS X
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The following instructions were verified with Mac OS X El Capitan.
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- Install dependencies via [Homebrew](http://brew.sh):
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brew install swig
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brew install bazel
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- Build the TensorFlow library and install it on your machine:
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cd third_party/tensorflow
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./configure # Choose the defaults when prompted
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bazel build -c opt tensorflow:libtensorflow_c.so
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install bazel-bin/tensorflow/libtensorflow_c.so /usr/local/lib/libtensorflow_c.dylib
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install_name_tool -id libtensorflow_c.dylib /usr/local/lib/libtensorflow_c.dylib
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cd ../..
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- Run stack:
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stack test
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Note: you may need to upgrade your version of Clang if you get an error like the following:
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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
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return Status::OK();
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In that case you can just upgrade XCode and then run `gcc --version` to get the new version of the compiler.
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