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build_tensorflow.sh
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#change pd model to tflite | |
bazel-bin/tensorflow/contrib/lite/toco/toco --input_file=model.pb --input_format=TENSORFLOW_GRAPHDEF --output_format=TFLITE --output_file=/tmp/mobile.tflite --inference_type=FLOAT --inference_input_type=FLOAT --input_arrays=input --output_arrays=Reshape --input_shapes=1,224,224,3 | |
#build apk | |
bazel build -c opt --cxxopt='--std=c++11' //tensorflow/examples/tensorflow-android-speech-kws/android:tensorflow_demo | |
#华为 caffe 模型转换 | |
./cngen_linux --prototxt mobilenet_v2_deploy.prototxt --model mobilenet_v2.caffemodel | |
#华为 tensorflow 模型转换 | |
cd cpu2ipu && sh run.sh | |
./pb_to_offline --graph=../model/facenet_ipu.pb --param_file=../model/facenet_model.txt | |
#mtk tensorflow to lite | |
toco --input_file=<Frozen TensorFlow Model File> \ | |
--input_format=TENSORFLOW_GRAPHDEF \ | |
--output_format=TFLITE\ | |
--output_file=<Output TensorFlow Lite Model File Name> \ | |
--inference_type=FLOAT \ | |
--inference_input_type=FLOAT \ | |
--input_arrays=<INPUT_ARRAYS> \ | |
--output_arrays=<OUTPUT_ARRAYS> \ | |
--input_shapes=<INPUT_SHAPES> |
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