代码拉取完成,页面将自动刷新
Main root is run.sh
, model input is model
dir, output is output
dir.
Putting saved_model
and model.yaml
into model
dir and then run run.sh
to convert model, build library.
model/
├── model.yaml
└── saved_model
├── saved_model.pbtxt
└── variables
├── variables.data-00000-of-00001
└── variables.index
2 directories, 4 files
All things need to deploy model are in output
dir.
output/
├── include
│ └── c_api.h
├── lib
│ ├── custom_ops
│ │ └── libx_ops.so
│ ├── deltann
│ │ ├── libdeltann.a
│ │ └── libdeltann.so
│ ├── tensorflow
│ │ ├── libtensorflow_cc.so -> libtensorflow_cc.so.2
│ │ ├── libtensorflow_cc.so.2 -> libtensorflow_cc.so.2.0.0
│ │ ├── libtensorflow_cc.so.2.0.0
│ │ ├── libtensorflow_cc.so.2.0.0-2.params
│ │ ├── libtensorflow_framework.so -> libtensorflow_framework.so.2
│ │ ├── libtensorflow_framework.so.2 -> libtensorflow_framework.so.2.0.0
│ │ ├── libtensorflow_framework.so.2.0.0
│ │ └── libtensorflow_framework.so.2.0.0-2.params
│ └── tflite
└── model
└── saved_model
└── 1
├── model.yaml
├── saved_model.pbtxt
└── variables
├── variables.data-00000-of-00001
└── variables.index
10 directories, 16 files
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