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大家好,
我的模型输入输出以及各层张量都是按照NCHW方式排列的,但是量化数据集矫正时的日志提示信息却是NWHC,如下,请问这回有什么影响吗?
![](http://data:image/png;base64,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)
- ...
- I Load net complete...
- I Load data...
- I Fitting image with scale.
- I Reorder channels.
- I Channel mean value [104.04, 113.985, 119.85, 71.0]
- I Quantization start...
- I Init validate tensor provider.
- I Enqueue samples 5000
- I Init provider with 5000 samples.
- I Load quantization tensor table
- D Optimizing network with qnt_hybrid_insert_layer
- D set up a quantize net
- D Process data_0 ...
- D RKNN output shape(input): (100 512 512 3)
- D Real output shape: (100, 512, 512, 3)
- D Process conv1_1 ...
- D RKNN output shape(convolution): (100 512 512 16)
- D Real output shape: (100, 512, 512, 16)
- D Process relu1_4 ...
- D RKNN output shape(relu): (100 512 512 16)
- D Real output shape: (100, 512, 512, 16)
- D Process conv2_5 ...
- D RKNN output shape(convolution): (100 512 512 16)
- D Real output shape: (100, 512, 512, 16)
- D Process relu2_8 ...
- D RKNN output shape(relu): (100 512 512 16)
- D Real output shape: (100, 512, 512, 16)
- D Process conv3_9 ...
- D RKNN output shape(convolution): (100 256 256 32)
- D Real output shape: (100, 256, 256, 32)
- D Process relu3_12 ...
- D RKNN output shape(relu): (100 256 256 32)
- D Real output shape: (100, 256, 256, 32)
- D Process conv5_17 ...
- D RKNN output shape(convolution): (100 128 128 64)
- D Real output shape: (100, 128, 128, 64)
- D Process relu4_20 ...
- D RKNN output shape(relu): (100 128 128 64)
- D Real output shape: (100, 128, 128, 64)
- ...
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