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docs/source/conf.py

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# Add any paths that contain custom static files (such as style sheets) here,
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# relative to this directory. They are copied after the builtin static files,
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# so a file named "default.css" will overwrite the builtin "default.css".
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html_static_path = ['_static']
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html_static_path = []

docs/source/index.rst

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Easily run TensorFlow models from C++
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=====================================
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With `cppflow` you can easily run TensorFlow models in C++ without Bazel, without TensorFlow installation and without compiling Tensorflow. Perform tensor manipulation, use eager execution and run saved models directly from C++.
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With cppflow you can easily run TensorFlow models in C++ without Bazel, without TensorFlow installation and without compiling Tensorflow. Perform tensor manipulation, use eager execution and run saved models directly from C++.
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.. toctree::
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:maxdepth: 2

docs/source/installation.rst

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Installation
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============
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One of the advantages of cppflow is that you don't need to compile or install TensorFlow, you just need to download the `TF C API <https://www.tensorflow.org/install/lang_c>`_. As `cppflow` is a header-only library, once you have the C API, the only thing you need to do is include the cppflow files from your project.
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One of the advantages of cppflow is that you don't need to compile or install TensorFlow, you just need to download the `TF C API <https://www.tensorflow.org/install/lang_c>`_. As cppflow is a header-only library, once you have the C API, the only thing you need to do is include the cppflow files from your project.
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To install the C API in your system you have two options:
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