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-# Install TensorFlow for C
-
-TensorFlow provides a C API defined in
-[`c_api.h`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/c/c_api.h),
-which is suitable for
-[building bindings for other languages](https://www.tensorflow.org/extend/language_bindings).
-The API leans towards simplicity and uniformity rather than convenience.
-
-
-## Supported Platforms
-
-This guide explains how to install TensorFlow for C.  Although these
-instructions might also work on other variants, we have only tested
-(and we only support) these instructions on machines meeting the
-following requirements:
-
-  * Linux, 64-bit, x86
-  * macOS X, Version 10.12.6 (Sierra) or higher
-
-
-## Installation
-
-Take the following steps to install the TensorFlow for C library and
-enable TensorFlow for C:
-
-  1. Decide whether you will run TensorFlow for C on CPU(s) only or
-     with the help of GPU(s). To help you decide, read the section
-     entitled "Determine which TensorFlow to install" in one of the
-     following guides:
-
-       * [Installing TensorFlow on Linux](../install/install_linux.md#determine_which_tensorflow_to_install)
-       * [Installing TensorFlow on macOS](../install/install_mac.md#determine_which_tensorflow_to_install)
-
-  2. Download and extract the TensorFlow C library into `/usr/local/lib` by
-     invoking the following shell commands:
-
-         TF_TYPE="cpu" # Change to "gpu" for GPU support
-         OS="linux" # Change to "darwin" for macOS
-         TARGET_DIRECTORY="/usr/local"
-         curl -L \
-           "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-${OS}-x86_64-1.10.0.tar.gz" |
-           sudo tar -C $TARGET_DIRECTORY -xz
-
-     The `tar` command extracts the TensorFlow C library into the `lib`
-     subdirectory of `TARGET_DIRECTORY`. For example, specifying `/usr/local`
-     as `TARGET_DIRECTORY` causes `tar` to extract the TensorFlow C library
-     into `/usr/local/lib`.
-
-     If you'd prefer to extract the library into a different directory,
-     adjust `TARGET_DIRECTORY` accordingly.
-
-  3. In Step 2, if you specified a system directory (for example, `/usr/local`)
-     as the `TARGET_DIRECTORY`, then run `ldconfig` to configure the linker.
-     For example:
-
-     <pre><b>sudo ldconfig</b></pre>
-
-     If you assigned a `TARGET_DIRECTORY` other than a system
-     directory (for example, `~/mydir`), then you must append the extraction
-     directory (for example, `~/mydir/lib`) to two environment variables.
-     For example:
-
-     <pre> <b>export LIBRARY_PATH=$LIBRARY_PATH:~/mydir/lib</b> # For both Linux and macOS X
-     <b>export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/mydir/lib</b> # For Linux only
-     <b>export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:~/mydir/lib</b> # For macOS X only</pre>
-
-
-
-## Validate your installation
-
-After installing TensorFlow for C, enter the following code into a file named
-`hello_tf.c`:
-
-```c
-#include <stdio.h>
-#include <tensorflow/c/c_api.h>
-
-int main() {
-  printf("Hello from TensorFlow C library version %s\n", TF_Version());
-  return 0;
-}
-```
-
-### Build and Run
-
-Build `hello_tf.c` by invoking the following command:
-
-
-<pre><b>gcc hello_tf.c</b></pre>
-
-
-Running the resulting executable should output the following message:
-
-
-<pre><b>a.out</b>
-Hello from TensorFlow C library version <i>number</i></pre>
-
-
-### Troubleshooting
-
-If building the program fails, the most likely culprit is that `gcc` cannot
-find the TensorFlow C library.  One way to fix this problem is to specify
-the `-I` and `-L` options to `gcc`.  For example, if the `TARGET_LIBRARY`
-was `/usr/local`, you would invoke `gcc` as follows:
-
-<pre><b>gcc -I/usr/local/include -L/usr/local/lib hello_tf.c -ltensorflow</b></pre>
-
-If executing `a.out` fails, ask yourself the following questions:
-
-  * Did the program build without error?
-  * Have you assigned the correct directory to the environment variables
-    noted in Step 3 of [Installation](#installation)?
-  * Did you export those environment variables?
-
-If you are still seeing build or execution error messages, search (or post to)
-[StackOverflow](https://stackoverflow.com/questions/tagged/tensorflow) for
-possible solutions.
-