pytorch resnet50转rknn失败

[复制链接] · 发表于 2019-9-11 18:52:55

本帖最后由 jy_dll 于 2019-9-11 18:57 编辑

HI，我使用 mmdnn 把 pytorch torchvision 官方的 resnet50 模型转成 tensorflow冻结好的.pb格式，用 rknn toolkit 1.0.0 提供的docker 里面的tensorflow环境导入.pb，可以正常推断，但是转换rknn时出错，报错位置rrknn.load_tensorflowknn.load_tensorflow，麻烦帮我看一下，谢谢
      print('--> config model')
      rknn.config(channel_mean_value='0 0 0 1',
         reorder_channel='0 1 2', batch_size=100, epochs=dataset_size//100)
      print('done')
      # Load tensorflow model
      print('--> Loading model')
      input_name = ["input"]
      output_name = ["dense/BiasAdd"]
      ret = rknn.load_tensorflow(tf_pb='frozen_coarse.pb',  # marketstuff_onnx-tf
                        inputs=input_name, # ['input']  Const
                        outputs=output_name,# ['output'] add
                        input_size_list=[[224, 224, 3]])

环境rknn toolkit ：V1.0.0
tensorflow：1.11.0

报错信息如下：
W verbose file path is invalid, debug info will not dump to file.
--> config model
done
--> Loading model
D import clients finished
I Current TF Model producer version 0 min consumer version 0 bad consumer version []
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I short-cut ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv2n287_weight:out0 - ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv2n287:in1 skip ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv2n287_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372_scale:out0 - ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372/mul:in1 skip ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372_scale/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421_mean:out0 - ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421/mul_2:in0 skip ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347_bias/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn4nnConv2dnconv3n394_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn4nnConv2dnconv3n394:in1 skip ResNetnSequentialnlayer3nnBottleneckn4nnConv2dnconv3n394_weight/read
I short-cut dense/bias:out0 - dense/BiasAdd:in1 skip dense/bias/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421_bias:out0 - ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421/sub:in0 skip ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421_bias/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382_var:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382/add:in0 skip ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn2nnConv2dnconv1n368_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn2nnConv2dnconv1n368:in1 skip ResNetnSequentialnlayer3nnBottleneckn2nnConv2dnconv1n368_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417_mean:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417/mul_2:in0 skip ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn2n362_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn2n362/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn2n362_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnConv2dnconv2n349_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnConv2dnconv2n349:in1 skip ResNetnSequentialnlayer3nnBottleneckn0nnConv2dnconv2n349_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434_scale:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/mul:in1 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn3n385_var:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn3n385/add:in0 skip ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn3n385_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402_scale:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402/mul:in1 skip ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnConv2dnconv3n384_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnConv2dnconv3n384:in1 skip ResNetnSequentialnlayer3nnBottleneckn3nnConv2dnconv3n384_weight/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn3n311_bias:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn3n311/sub:in0 skip ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn3n311_bias/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313_bias:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313/sub:in0 skip ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281_var:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/add:in0 skip ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281_var/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343_var:out0 - ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343/add:in0 skip ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn2nnConv2dnconv2n371_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn2nnConv2dnconv2n371:in1 skip ResNetnSequentialnlayer3nnBottleneckn2nnConv2dnconv2n371_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennConv2dn0n416_weight:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennConv2dn0n416:in1 skip ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennConv2dn0n416_weight/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313_var:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313/add:in0 skip ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347_scale:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347/mul:in1 skip ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347_scale/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427_bias:out0 - ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427/sub:in0 skip ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427_bias/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn1n409_var:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn1n409/add:in0 skip ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn1n409_var/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434_bias:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/sub:in0 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434_bias/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnConv2dnconv2n381_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnConv2dnconv2n381:in1 skip ResNetnSequentialnlayer3nnBottleneckn3nnConv2dnconv2n381_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417_var:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417/add:in0 skip ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399_var:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399/add:in0 skip ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399_var/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276_bias:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276/sub:in0 skip ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276_bias/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330_bias:out0 - ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330/sub:in0 skip ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330_bias/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennConv2dn0n312_weight:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennConv2dn0n312:in1 skip ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennConv2dn0n312_weight/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305_bias:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305/sub:in0 skip ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305_bias/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421_var:out0 - ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421/add:in0 skip ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421_var/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417_scale:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417/mul:in1 skip ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn2n350_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn2n350/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn2n350_mean/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298_var:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298/add:in0 skip ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402_mean/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273_mean:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273/mul_2:in0 skip ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333_bias:out0 - ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333/sub:in0 skip ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301_bias:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301/sub:in0 skip ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv3n290_weight:out0 - ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv3n290:in1 skip ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv3n290_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437_scale:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/mul:in1 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn3n375_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn3n375/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn3n375_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn1nnConv2dnconv3n322_weight:out0 - ResNetnSequentialnlayer2nnBottleneckn1nnConv2dnconv3n322:in1 skip ResNetnSequentialnlayer2nnBottleneckn1nnConv2dnconv3n322_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431_scale:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431/mul:in1 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431_scale/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnConv2dnconv1n408_weight:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnConv2dnconv1n408:in1 skip ResNetnSequentialnlayer4nnBottleneckn0nnConv2dnconv1n408_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnConv2dnconv2n307_weight:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnConv2dnconv2n307:in1 skip ResNetnSequentialnlayer2nnBottleneckn0nnConv2dnconv2n307_weight/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn2n320_bias:out0 - ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn2n320/sub:in0 skip ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn2n320_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291_var:out0 - ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291/add:in0 skip ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379_mean/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273_var:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273/add:in0 skip ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355_scale:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355/mul:in1 skip ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295_bias:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/sub:in0 skip ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295_bias/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn1nnConv2dnconv2n423_weight:out0 - ResNetnSequentialnlayer4nnBottleneckn1nnConv2dnconv2n423:in1 skip ResNetnSequentialnlayer4nnBottleneckn1nnConv2dnconv2n423_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn1nnConv2dnconv2n361_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn1nnConv2dnconv2n361:in1 skip ResNetnSequentialnlayer3nnBottleneckn1nnConv2dnconv2n361_weight/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273_scale:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273/mul:in1 skip ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn3nnConv2dnconv3n342_weight:out0 - ResNetnSequentialnlayer2nnBottleneckn3nnConv2dnconv3n342:in1 skip ResNetnSequentialnlayer2nnBottleneckn3nnConv2dnconv3n342_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405_scale:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405/mul:in1 skip ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn2n350_scale:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn2n350/mul:in1 skip ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn2n350_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305_var:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305/add:in0 skip ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn1nnConv2dnconv3n364_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn1nnConv2dnconv3n364:in1 skip ResNetnSequentialnlayer3nnBottleneckn1nnConv2dnconv3n364_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399_bias/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347_var:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347/add:in0 skip ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347_var/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn2nnConv2dnconv2n329_weight:out0 - ResNetnSequentialnlayer2nnBottleneckn2nnConv2dnconv2n329:in1 skip ResNetnSequentialnlayer2nnBottleneckn2nnConv2dnconv2n329_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431_bias:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431/sub:in0 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431_bias/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359_scale:out0 - ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359/mul:in1 skip ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323_bias:out0 - ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323/sub:in0 skip ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323_bias/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347_mean/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnConv2dnconv2n297_weight:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnConv2dnconv2n297:in1 skip ResNetnSequentialnlayer1nnBottleneckn2nnConv2dnconv2n297_weight/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn2n340_bias:out0 - ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn2n340/sub:in0 skip ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn2n340_bias/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330_scale/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298_bias:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298/sub:in0 skip ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298_bias/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv1n272_weight:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv1n272:in1 skip ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv1n272_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn2n424_scale:out0 - ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn2n424/mul:in1 skip ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn2n424_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330_var:out0 - ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330/add:in0 skip ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330_var/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434_mean:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/mul_2:in0 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323_var:out0 - ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323/add:in0 skip ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn3n375_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn3n375/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn3n375_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295_mean:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/mul_2:in0 skip ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295_mean/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291_mean:out0 - ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291/mul_2:in0 skip ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291_mean/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412_scale:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412/mul:in1 skip ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn3n353_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn3n353/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn3n353_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291_scale:out0 - ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291/mul:in1 skip ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291_scale/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295_scale:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/mul:in1 skip ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn3n385_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn3n385/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn3n385_bias/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305_scale/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431_mean:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431/mul_2:in0 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313_mean:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313/mul_2:in0 skip ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn1n389_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn1n389/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn1n389_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn3n279_scale:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn3n279/mul:in1 skip ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn3n279_scale/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnConv2dnconv3n414_weight:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnConv2dnconv3n414:in1 skip ResNetnSequentialnlayer4nnBottleneckn0nnConv2dnconv3n414_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn1n285_bias:out0 - ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn1n285/sub:in0 skip ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn1n285_bias/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn2n362_var:out0 - ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn2n362/add:in0 skip ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn2n362_var/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv2n275_weight:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv2n275:in1 skip ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv2n275_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379_bias/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337_mean:out0 - ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337/mul_2:in0 skip ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337_mean/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437_mean:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/mul_2:in0 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437_mean/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276_scale:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276/mul:in1 skip ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennConv2dn0n354_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennConv2dn0n354:in1 skip ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennConv2dn0n354_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412_bias:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412/sub:in0 skip ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412_bias/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437_var:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/add:in0 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv3n278_weight:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv3n278:in1 skip ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv3n278_weight/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn1n327_mean:out0 - ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn1n327/mul_2:in0 skip ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn1n327_mean/read
I short-cut ResNetnBatchNorm2dnbn1n269_scale:out0 - ResNetnBatchNorm2dnbn1n269/mul:in1 skip ResNetnBatchNorm2dnbn1n269_scale/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv1n284_weight:out0 - ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv1n284:in1 skip ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv1n284_weight/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301_mean:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301/mul_2:in0 skip ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn2n340_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn2n340/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn2n340_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn2nnConv2dnconv3n332_weight:out0 - ResNetnSequentialnlayer2nnBottleneckn2nnConv2dnconv3n332:in1 skip ResNetnSequentialnlayer2nnBottleneckn2nnConv2dnconv3n332_weight/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn1nnConv2dnconv2n319_weight:out0 - ResNetnSequentialnlayer2nnBottleneckn1nnConv2dnconv2n319:in1 skip ResNetnSequentialnlayer2nnBottleneckn1nnConv2dnconv2n319_weight/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn1n285_var:out0 - ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn1n285/add:in0 skip ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn1n285_var/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnConv2dnconv2n411_weight:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnConv2dnconv2n411:in1 skip ResNetnSequentialnlayer4nnBottleneckn0nnConv2dnconv2n411_weight/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291_bias:out0 - ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291/sub:in0 skip ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291_bias/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412_var:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412/add:in0 skip ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnConv2dnconv1n378_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnConv2dnconv1n378:in1 skip ResNetnSequentialnlayer3nnBottleneckn3nnConv2dnconv1n378_weight/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn2nnConv2dnconv1n326_weight:out0 - ResNetnSequentialnlayer2nnBottleneckn2nnConv2dnconv1n326:in1 skip ResNetnSequentialnlayer2nnBottleneckn2nnConv2dnconv1n326_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn3n353_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn3n353/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn3n353_mean/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn2n424_var:out0 - ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn2n424/add:in0 skip ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn2n424_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn1n369_scale:out0 - ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn1n369/mul:in1 skip ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn1n369_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359_bias/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308_mean:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308/mul_2:in0 skip ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343_mean:out0 - ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343/mul_2:in0 skip ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337_var:out0 - ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337/add:in0 skip ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn2nnConv2dnconv3n374_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn2nnConv2dnconv3n374:in1 skip ResNetnSequentialnlayer3nnBottleneckn2nnConv2dnconv3n374_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn1n409_scale:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn1n409/mul:in1 skip ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn1n409_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405_var:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405/add:in0 skip ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405_var/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnConv2dnconv1n294_weight:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnConv2dnconv1n294:in1 skip ResNetnSequentialnlayer1nnBottleneckn2nnConv2dnconv1n294_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427_scale:out0 - ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427/mul:in1 skip ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnConv2dnconv3n404_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnConv2dnconv3n404:in1 skip ResNetnSequentialnlayer3nnBottleneckn5nnConv2dnconv3n404_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn2n392_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn2n392/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn2n392_mean/read
I short-cut ResNetnBatchNorm2dnbn1n269_bias:out0 - ResNetnBatchNorm2dnbn1n269/sub:in0 skip ResNetnBatchNorm2dnbn1n269_bias/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415_mean:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415/mul_2:in0 skip ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn4nnConv2dnconv2n391_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn4nnConv2dnconv2n391:in1 skip ResNetnSequentialnlayer3nnBottleneckn4nnConv2dnconv2n391_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355_bias/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn2n320_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn2n320/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn2n320_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305_mean:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305/mul_2:in0 skip ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305_mean/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415_scale:out0 - ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415/mul:in1 skip ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415_scale/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281_mean:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/mul_2:in0 skip ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn1n317_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn1n317/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn1n317_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372_mean:out0 - ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372/mul_2:in0 skip ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313_scale/read
I short-cut ResNetnBatchNorm2dnbn1n269_var:out0 - ResNetnBatchNorm2dnbn1n269/add:in0 skip ResNetnBatchNorm2dnbn1n269_var/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281_bias:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/sub:in0 skip ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281_bias/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355_var:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355/add:in0 skip ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355_var/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434_var:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/add:in0 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379_var:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379/add:in0 skip ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379_var/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333_var:out0 - ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333/add:in0 skip ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn0nnConv2dnconv3n352_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn0nnConv2dnconv3n352:in1 skip ResNetnSequentialnlayer3nnBottleneckn0nnConv2dnconv3n352_weight/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281_scale:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/mul:in1 skip ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343_bias:out0 - ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343/sub:in0 skip ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343_bias/read
I short-cut ResNetnConv2dnconv1n268_weight:out0 - ResNetnConv2dnconv1n268:in1 skip ResNetnConv2dnconv1n268_weight/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn2n288_var:out0 - ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn2n288/add:in0 skip ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn2n288_var/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276_mean:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276/mul_2:in0 skip ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323_mean:out0 - ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323/mul_2:in0 skip ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn4nnConv2dnconv1n388_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn4nnConv2dnconv1n388:in1 skip ResNetnSequentialnlayer3nnBottleneckn4nnConv2dnconv1n388_weight/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323_scale/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnConv2dnconv1n304_weight:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnConv2dnconv1n304:in1 skip ResNetnSequentialnlayer2nnBottleneckn0nnConv2dnconv1n304_weight/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427_mean:out0 - ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427/mul_2:in0 skip ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn1n369_bias:out0 - ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn1n369/sub:in0 skip ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn1n369_bias/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn3n311_scale:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn3n311/mul:in1 skip ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn3n311_scale/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273_bias:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273/sub:in0 skip ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273_bias/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301_var:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301/add:in0 skip ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301_var/read
I short-cut ResNetnBatchNorm2dnbn1n269_mean:out0 - ResNetnBatchNorm2dnbn1n269/mul_2:in0 skip ResNetnBatchNorm2dnbn1n269_mean/read
I short-cut ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308_bias:out0 - ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308/sub:in0 skip ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308_bias/read
I short-cut ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437_bias:out0 - ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/sub:in0 skip ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437_bias/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395_var:out0 - ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395/add:in0 skip ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395_var/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295_var:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/add:in0 skip ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295_var/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn5nnConv2dnconv2n401_weight:out0 - ResNetnSequentialnlayer3nnBottleneckn5nnConv2dnconv2n401:in1 skip ResNetnSequentialnlayer3nnBottleneckn5nnConv2dnconv2n401_weight/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395_scale:out0 - ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395/mul:in1 skip ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395_scale/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn2n392_var:out0 - ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn2n392/add:in0 skip ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn2n392_var/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298_mean:out0 - ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298/mul_2:in0 skip ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298_mean/read
I short-cut ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382_scale:out0 - ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382/mul:in1 skip ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382_scale/read
I short-cut ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276_var:out0 - ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276/add:in0 skip ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276_var/read
I Have 108 tensors convert to const tensor
2019-09-11 09:22:48.339508: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
['ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn3n385/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn3n353/mul:out0', 'ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn2n424/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn1n369/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn3n365/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395/sub:out0', 'ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn3n279/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn1n389/mul:out0', 'ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn2n350/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412/sub:out0', 'ResNetnBatchNorm2dnbn1n269/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn1n379/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn2n288/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn2n392/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn2n362/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn1n327/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn1n389/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn2n402/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn1n285/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn1n317/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn3n333/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn2n308/mul:out0', 'ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn2n412/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn1n327/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn3n311/mul:out0', 'ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn1n409/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn2n320/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn2n340/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn3n405/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn1n359/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/sub:out0', 'ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn2n288/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn1n317/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn2n320/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn3n395/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn5nnBatchNorm2dnbn1n399/sub:out0', 'ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn1n285/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276/mul:out0', 'ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn2n350/mul:out0', 'ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn1n421/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn3n311/sub:out0', 'ResNetnBatchNorm2dnbn1n269/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn1n409/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn3n365/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn3n353/sub:out0', 'ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n313/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/sub:out0', 'ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn3n291/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn2n276/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn1n337/mul:out0', 'ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn2n340/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn2n424/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn1nnBatchNorm2dnbn3n323/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn3n375/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn2n372/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/mul:out0', 'ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n355/sub:out0', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn1n431/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn1nnBatchNorm2dnbn2n362/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn0nnBatchNorm2dnbn1n347/sub:out0', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn2n382/sub:out0', 'Flatten_1/flatten/Reshape/shape:out0', 'ResNetnSequentialnlayer2nnBottleneckn0nnBatchNorm2dnbn1n305/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn1n273/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn3nnBatchNorm2dnbn3n343/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn3n301/mul:out0', 'Flatten/flatten/Reshape/shape:out0', 'ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn3n375/mul:out0', 'ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/mul:out0', 'ResNetnSequentialnlayer3nnBottleneckn4nnBatchNorm2dnbn2n392/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn3nnBatchNorm2dnbn3n385/sub:out0', 'ResNetnSequentialnlayer2nnBottleneckn2nnBatchNorm2dnbn2n330/sub:out0', 'ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn3n279/sub:out0', 'ResNetnSequentialnlayer3nnBottleneckn2nnBatchNorm2dnbn1n369/sub:out0']
I build output layer attach_dense/BiasAdd:out0
I build input layer input:out0
D Try match BiasAdd dense/BiasAdd
I Match rsp_fc_badd [['Flatten_1/flatten/Reshape/shape_out_0_const', 'dense/kernel', 'dense/BiasAdd', 'Flatten_1/flatten/Reshape', 'dense/bias', 'dense/MatMul']] [['BiasAdd', 'MatMul', 'C', 'Reshape', 'C_1', 'C_2']] to [['fullconnect']]
D Try match Reshape Flatten/flatten/Reshape
I Match reshape [['Flatten/flatten/Reshape/shape_out_0_const', 'Flatten/flatten/Reshape']] [['Reshape', 'C']] to [['reshape']]
W Network may not support batch > 1 !
D Try match AvgPool ResNetnAvgPool2dnavgpooln440
I Match avgpool [['ResNetnAvgPool2dnavgpooln440']] [['AvgPool']] to [['pooling']]
D Try match Relu ResNetnSequentialnlayer4nnBottleneckn2nnReLUnrelun439
I Match relu [['ResNetnSequentialnlayer4nnBottleneckn2nnReLUnrelun439']] [['Relu']] to [['relu']]
D Try match Add add_15
I Match add [['add_15']] [['Add']] to [['add']]
D Try match Add ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/add_1
I Match mul_add_2_bn [['ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/sub_out_0_const', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/add_1', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/mul_1', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn3n437/mul_out_0_const']] [['Add', 'Mul', 'C', 'C_1']] to [['batchnormalize']]
D Try match Relu ResNetnSequentialnlayer4nnBottleneckn1nnReLUnrelun429
I Match relu [['ResNetnSequentialnlayer4nnBottleneckn1nnReLUnrelun429']] [['Relu']] to [['relu']]
D Try match Conv2D ResNetnSequentialnlayer4nnBottleneckn2nnConv2dnconv3n436
I Match single_convolution [['ResNetnSequentialnlayer4nnBottleneckn2nnConv2dnconv3n436_weight', 'ResNetnSequentialnlayer4nnBottleneckn2nnConv2dnconv3n436']] [['Conv', 'C']] to [['convolution']]
D Try match Add add_14
I Match add [['add_14']] [['Add']] to [['add']]
D Try match Relu ResNetnSequentialnlayer4nnBottleneckn2nnReLUnrelun435
I Match relu [['ResNetnSequentialnlayer4nnBottleneckn2nnReLUnrelun435']] [['Relu']] to [['relu']]
D Try match Add ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427/add_1
I Match mul_add_2_bn [['ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427/sub_out_0_const', 'ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427/add_1', 'ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427/mul_1', 'ResNetnSequentialnlayer4nnBottleneckn1nnBatchNorm2dnbn3n427/mul_out_0_const']] [['Add', 'Mul', 'C', 'C_1']] to [['batchnormalize']]
D Try match Relu ResNetnSequentialnlayer4nnBottleneckn0nnReLUnrelun419
I Match relu [['ResNetnSequentialnlayer4nnBottleneckn0nnReLUnrelun419']] [['Relu']] to [['relu']]
D Try match Add ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/add_1
I Match mul_add_2_bn [['ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/sub_out_0_const', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/add_1', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/mul_1', 'ResNetnSequentialnlayer4nnBottleneckn2nnBatchNorm2dnbn2n434/mul_out_0_const']] [['Add', 'Mul', 'C', 'C_1']] to [['batchnormalize']]
D Try match Conv2D ResNetnSequentialnlayer4nnBottleneckn1nnConv2dnconv3n426
I Match single_convolution [['ResNetnSequentialnlayer4nnBottleneckn1nnConv2dnconv3n426_weight', 'ResNetnSequentialnlayer4nnBottleneckn1nnConv2dnconv3n426']] [['Conv', 'C']] to [['convolution']]
D Try match Add add_13
I Match add [['add_13']] [['Add']] to [['add']]
D Try match Conv2D ResNetnSequentialnlayer4nnBottleneckn2nnConv2dnconv2n433
I Match pad_convolution [['ResNetnSequentialnlayer4nnBottleneckn2nnConv2dnconv2n433_weight', 'ResNetnSequentialnlayer4nnBottleneckn2nnConv2dnconv2n433', 'Pad_16/paddings', 'Pad_16']] [['Conv', 'Pad', 'C', 'C_1']] to [['convolution']]
D Try match Relu ResNetnSequentialnlayer4nnBottleneckn1nnReLUnrelun425
I Match relu [['ResNetnSequentialnlayer4nnBottleneckn1nnReLUnrelun425']] [['Relu']] to [['relu']]
D Try match Add ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417/add_1
I Match mul_add_2_bn [['ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417/sub_out_0_const', 'ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417/add_1', 'ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417/mul_1', 'ResNetnSequentialnlayer4nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n417/mul_out_0_const']] [['Add', 'Mul', 'C', 'C_1']] to [['batchnormalize']]
D Try match Add ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415/add_1
I Match mul_add_2_bn [['ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415/sub_out_0_const', 'ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415/add_1', 'ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415/mul_1', 'ResNetnSequentialnlayer4nnBottleneckn0nnBatchNorm2dnbn3n415/mul_out_0_const']] [['Add', 'Mul', 'C', 'C_1']] to [['
......中间省略
D Try match Add add
I Match add [['add']] [['Add']] to [['add']]
D Try match Conv2D ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv3n290
I Match single_convolution [['ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv3n290_weight', 'ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv3n290']] [['Conv', 'C']] to [['convolution']]
D Try match Add ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298/add_1
I Match mul_add_2_bn [['ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298/sub_out_0_const', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298/add_1', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298/mul_1', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn2n298/mul_out_0_const']] [['Add', 'Mul', 'C', 'C_1']] to [['batchnormalize']]
D Try match Add ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/add_1
I Match mul_add_2_bn [['ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/sub_out_0_const', 'ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/add_1', 'ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/mul_1', 'ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennBatchNorm2dn1n281/mul_out_0_const']] [['Add', 'Mul', 'C', 'C_1']] to [['batchnormalize']]
D Try match Add ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn3n279/add_1
I Match mul_add_2_bn [['ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn3n279/sub_out_0_const', 'ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn3n279/add_1', 'ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn3n279/mul_1', 'ResNetnSequentialnlayer1nnBottleneckn0nnBatchNorm2dnbn3n279/mul_out_0_const']] [['Add', 'Mul', 'C', 'C_1']] to [['batchnormalize']]
D Try match Relu ResNetnSequentialnlayer1nnBottleneckn1nnReLUnrelun289
I Match relu [['ResNetnSequentialnlayer1nnBottleneckn1nnReLUnrelun289']] [['Relu']] to [['relu']]
D Try match Conv2D ResNetnSequentialnlayer1nnBottleneckn2nnConv2dnconv2n297
I Match pad_convolution [['ResNetnSequentialnlayer1nnBottleneckn2nnConv2dnconv2n297_weight', 'ResNetnSequentialnlayer1nnBottleneckn2nnConv2dnconv2n297', 'Pad_3/paddings', 'Pad_3']] [['Conv', 'Pad', 'C', 'C_1']] to [['convolution']]
D Try match Conv2D ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennConv2dn0n280
I Match single_convolution [['ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennConv2dn0n280_weight', 'ResNetnSequentialnlayer1nnBottleneckn0nnSequentialndownsamplennConv2dn0n280']] [['Conv', 'C']] to [['convolution']]
D Try match Conv2D ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv3n278
I Match single_convolution [['ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv3n278_weight', 'ResNetnSequentialnlayer1nnBottleneckn0nnConv2dnconv3n278']] [['Conv', 'C']] to [['convolution']]
D Try match Add ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn2n288/add_1
I Match mul_add_2_bn [['ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn2n288/sub_out_0_const', 'ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn2n288/add_1', 'ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn2n288/mul_1', 'ResNetnSequentialnlayer1nnBottleneckn1nnBatchNorm2dnbn2n288/mul_out_0_const']] [['Add', 'Mul', 'C', 'C_1']] to [['batchnormalize']]
D Try match Relu ResNetnSequentialnlayer1nnBottleneckn2nnReLUnrelun296
I Match relu [['ResNetnSequentialnlayer1nnBottleneckn2nnReLUnrelun296']] [['Relu']] to [['relu']]
D Try match MaxPool ResNetnMaxPool2dnmaxpooln271
I Match max_pool [['ResNetnMaxPool2dnmaxpooln271']] [['MaxPool']] to [['pooling']]
D Try match Relu ResNetnSequentialnlayer1nnBottleneckn0nnReLUnrelun277
I Match relu [['ResNetnSequentialnlayer1nnBottleneckn0nnReLUnrelun277']] [['Relu']] to [['relu']]
D Try match Conv2D ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv2n287
I Match pad_convolution [['ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv2n287_weight', 'ResNetnSequentialnlayer1nnBottleneckn1nnConv2dnconv2n287', 'Pad_2/paddings', 'Pad_2']] [['Conv', 'Pad', 'C', 'C_1']] to [['convolution']]
D Try match Add ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/add_1
I Match mul_add_2_bn [['ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/sub_out_0_const', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/add_1', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/mul_1', 'ResNetnSequentialnlayer1nnBottleneckn2nnBatchNorm2dnbn1n295/mul_out_0_const']] [['Add', 'Mul', 'C', 'C_1']] to [['batchnormalize']]
D Try match PadV2 PadV2
W Not match node PadV2 PadV2
E Catch exception when loading tensorflow model: frozen_coarse.pb!
T Traceback (most recent call last):
T File "rknn/api/rknn_base.py", line 185, in rknn.api.rknn_base.RKNNBase.load_tensorflow
T File "rknn/base/RKNNlib/converter/convert_tf.py", line 589, in rknn.base.RKNNlib.converter.convert_tf.convert_tf.match_paragraph_and_param
T File "rknn/base/RKNNlib/converter/convert_tf.py", line 488, in rknn.base.RKNNlib.converter.convert_tf.convert_tf._tf_push_ready_node
T TypeError: 'NoneType' object is not iterable

看起来好像是padding报错了？可是我的pb模型运行没有问题，不知道什么原因呢？

只看该作者 · 发表于 2019-9-12 10:51:15

求官方支持pytorch啊！！！！

只看该作者 · 发表于 2019-9-13 11:32:18

D Try match PadV2 PadV2
W Not match node PadV2 PadV2

有OP不支持，有几种解决方案：
1. 使用rknntoolkit 1.2版本自行添加OP支持
2. 修改模型替换这个不支持的OP
3. 如果这个OP在模型的开始或者结尾处，可以把模型的输入输出推后或者提前，使用CPU来计算。

另外pytorch的支持在NPU部门的roadmap里了，具体发布时间我们也不太清楚。

只看该作者 · 发表于 2019-11-29 18:09:25

jefferyzhang 发表于 2019-9-13 11:32
D Try match PadV2 PadV2
W Not match node PadV2 PadV2

请问现在Pytorch的支持咋样了啊？

只看该作者 · 发表于 2019-11-29 20:53:58

xsky 发表于 2019-11-29 18:09
请问现在Pytorch的支持咋样了啊？

还在制作中，放出来我们肯定第一时间公布的

只看该作者 · 发表于 2019-11-30 11:15:04

jefferyzhang 发表于 2019-11-29 20:53
还在制作中，放出来我们肯定第一时间公布的

嗯，谢谢