First implementation

vendor/github.com/mattn/go-tflite/README.md

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+# go-tflite
+
+Go binding for TensorFlow Lite
+
+![](https://raw.githubusercontent.com/mattn/go-tflite/master/screenshots/screenshot.png)
+
+## Usage
+
+```go
+model := tflite.NewModelFromFile("sin_model.tflite")
+if model == nil {
+	log.Fatal("cannot load model")
+}
+defer model.Delete()
+
+options := tflite.NewInterpreterOptions()
+defer options.Delete()
+
+interpreter := tflite.NewInterpreter(model, options)
+defer interpreter.Delete()
+
+interpreter.AllocateTensors()
+
+v := float64(1.2) * math.Pi / 180.0
+input := interpreter.GetInputTensor(0)
+input.Float32s()[0] = float32(v)
+interpreter.Invoke()
+got := float64(interpreter.GetOutputTensor(0).Float32s()[0])
+```
+
+See `_example` for more examples
+
+## Requirements
+
+* TensorFlow Lite - This release requires 2.2.0-rc3
+
+## Tensorflow Installation
+
+You must install Tensorflow Lite C API. Assuming the source is under /source/directory/tensorflow
+
+```
+$ cd /source/directory/tensorflow
+$ bazel build --config opt --config monolithic tensorflow:libtensorflow_c.so
+```
+
+Or to just compile the tensorflow lite libraries:
+```
+$ cd /some/path/tensorflow
+$ bazel build --config opt --config monolithic //tensorflow/lite:libtensorflowlite.so
+$ bazel build --config opt --config monolithic //tensorflow/lite/c:libtensorflowlite_c.so
+```
+
+In order for go to find the headers you must set the CGO_CFLAGS environment variable for the source and libraries of tensorflow.
+If your libraries are not installed in a standard location, you must also give the go linker the path to the shared librares
+with the CGO_LDFLAGS environment variable.
+
+```
+$ export CGO_CFLAGS=-I/source/directory/tensorflow
+$ export CGO_LDFLAGS=-L/path/to/tensorflow/libaries
+```
+
+If you don't love bazel, you can try `Makefile.tflite`. 
+Put this file as `Makefile` in `tensorflow/lite/c`, and run `make`. 
+Sorry, this has not been test for Linux or Mac
+
+Then run `go build` on some of the examples.
+
+## Edge TPU
+To be able to compile and use the EdgeTPU delegate, you need to install the libraries from here:
+https://github.com/google-coral/edgetpu
+
+There is also a deb package here:
+https://coral.withgoogle.com/docs/accelerator/get-started/#1-install-the-edge-tpu-runtime
+
+The libraries from should be installed in a system wide library path like `/usr/local/lib`
+The include files should be installed somewhere that is accesable from your CGO include path
+
+For x86:
+```
+cd /tmp && git clone https://github.com/google-coral/edgetpu.git && \
+cp edgetpu/libedgetpu/direct/k8/libedgetpu.so.1.0 /usr/local/lib/libedgetpu.so.1.0 && \
+ln -rs /usr/local/lib/libedgetpu.so.1.0 /usr/local/lib/libedgetpu.so.1 && \
+ln -rs /usr/local/lib/libedgetpu.so.1.0 /usr/local/lib/libedgetpu.so && \
+mkdir -p /usr/local/include/libedgetpu && \
+cp edgetpu/libedgetpu/edgetpu.h /usr/local/include/edgetpu.h && \
+cp edgetpu/libedgetpu/edgetpu_c.h /usr/local/include/edgetpu_c.h && \
+rm -Rf edgetpu
+```
+
+
+## License
+MIT
+
+## Author
+Yasuhrio Matsumoto (a.k.a. mattn)
+