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