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    V853 关于网络模型是多输入

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    • C
      cruise33 LV 6 last edited by

      请问如果网络模型是多输入,量化指令应该怎么改呢?

      我当前的量化指令是:

      pegasus quantize --model test.json --model-data test.data --batch-size 1 --device CPU --with-input-meta ./test_inputmeta.yml --rebuild --model-quantize test.quantize --quantizer asymmetric_affine --qtype uint8 
      

      但量化报了下面的错误:
      6fa8f912-3f4f-4643-b6bd-1f9a1b0b2f33-image.png

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        super0759 LV 5 @cruise33 last edited by

        @cruise33 我也 遇到这个 问题 ,请问 如何 解决 。解决 了吗

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          cruise33 LV 6 @super0759 last edited by

          @super0759 多输入没解决,后来改模型结构了

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            super0759 LV 5 @cruise33 last edited by

            @cruise33 你们是做什么 ,人脸识别 ,这个模型 应该 很快吧 。

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              cruise33 LV 6 @super0759 last edited by

              @super0759 做AI视觉相关,853的性能还是可以的

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                super0759 LV 5 @cruise33 last edited by

                @cruise33 用v851s,他的yolov3 例子都跑不起来 ,是不是模型太大 ,不知道是什么原因。

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                • WhycanService
                  WhycanService LV 8 @super0759 last edited by

                  @super0759 yolov3 最低需要22M内存,加上模型36M一共58M内存占用,64M内存需要裁减linux到6M内存占用内

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                    lingzhi12321 LV 5 @cruise33 last edited by

                    @cruise33 你好,问下,sample.txt的golden输入是怎样得来的啊?文档上说是可选的,可是没有这个输入就会报错啊

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                      cruise33 LV 6 @lingzhi12321 last edited by

                      @lingzhi12321 你要用跑仿真推理?

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                        lingzhi12321 LV 5 @cruise33 last edited by

                        @cruise33 单推理,不仿真

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