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- # 需先安装paddlelite
- import paddlelite.lite as lite
- model_filename = 'server_mobilenet/__model__'
- params_filename = 'server_mobilenet/__params__'
- export_filename = 'mobilenetv2'
- opt = lite.Opt()
- # 将正常模型导出为Lite模型
- opt.run_optimize("", model_filename, params_filename, 'naive_buffer', 'arm',
- export_filename)
- quant_model_filename = 'quant_mobilenet/__model__'
- quant_params_filename = 'quant_mobilenet/__params__'
- quant_export_filename = 'mobilenetv2_quant'
- # 将量化模型导出为Lite模型
- opt.run_optimize("", quant_model_filename, quant_params_filename,
- 'naive_buffer', 'arm', quant_export_filename)
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