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diff --git a/tensorflow/contrib/cmake/README.md b/tensorflow/contrib/cmake/README.md index 252a9e16bd..1383e0d983 100644 --- a/tensorflow/contrib/cmake/README.md +++ b/tensorflow/contrib/cmake/README.md @@ -13,12 +13,36 @@ Linux. Current Status -------------- +CMake can be used to build TensorFlow on Windows. See the [getting started documentation](https://www.tensorflow.org/get_started/os_setup.html#pip-installation-on-windows) +for instructions on how to install a pre-built TensorFlow package on Windows. + +### Current known limitations +* It is not possible to load a custom Op library. +* GCS and HDFS file systems are not supported. +* The following Ops are not currently implemented: + - Dequantize + - QuantizeAndDequantize + - QuantizedAvgPool + - QuantizedBatchNomWithGlobalNormalization + - QuantizedBiasAdd + - QuantizedConcat + - QuantizedConv2D + - QuantizedMatmul + - QuantizedMaxPoo + - QuantizeDownAndShrinkRange + - QuantizedRelu + - QuantizedRelu6 + - QuantizedReshape + - QuantizeV2 + - RequantizationRange + - Requantize + +## Building with CMake + The CMake files in this directory can build the core TensorFlow runtime, an example C++ binary, and a PIP package containing the runtime and Python bindings. -Note: Windows support is in an **alpha** state, and we welcome your feedback. - ### Pre-requisites * CMake version 3.5 up to 3.6 @@ -46,6 +70,8 @@ Note: Windows support is in an **alpha** state, and we welcome your feedback. - [swigwin-3.0.10](http://www.swig.org/download.html) - [NVidia CUDA Toolkit 8.0] (https://developer.nvidia.com/cuda-downloads) - [NVidia CUDNN 5.1] (https://developer.nvidia.com/cudnn) + - [CMake 3.6](https://cmake.org/files/v3.6/cmake-3.6.3-win64-x64.msi) + * Ubuntu 14.04 - Makefile generator - Docker 1.9.1 (for automated testing) |