124069 - rpi5 aidge – dAIEdge-VLab Status

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rpi5

0000019c71638acf37948e8933e2246c7ee24eb06307d06986d991b6e014d767

aidge

124069 - rpi5 aidge

✅

Summary: Pipeline failed, but error.log is filled.

Model Details

model name : resnet50-v1-12-int8.onnx
model url : Download here

Logs Details

user.log

[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_conv0_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [7, 7]
[[94mNOTICE[0m]   	* pads : [3, 3, 3, 3]
[[94mNOTICE[0m]   	* strides : [2, 2]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage1_conv3_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage1_conv0_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage1_conv1_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage1_conv2_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage1__plus0_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage1_conv4_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage1_conv5_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage1_conv6_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage1__plus1_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage1_conv7_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage1_conv8_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage1_conv9_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage1__plus2_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage2_conv3_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [2, 2]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage2_conv0_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [2, 2]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage2_conv1_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage2_conv2_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage2__plus0_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage2_conv4_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage2_conv5_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage2_conv6_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage2__plus1_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage2_conv7_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage2_conv8_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage2_conv9_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage2__plus2_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage2_conv10_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage2_conv11_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage2_conv12_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage2__plus3_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3_conv3_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [2, 2]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv0_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [2, 2]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv1_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3_conv2_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3__plus0_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv4_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv5_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3_conv6_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3__plus1_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv7_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv8_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3_conv9_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3__plus2_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv10_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv11_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3_conv12_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3__plus3_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv13_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv14_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3_conv15_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3__plus4_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv16_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage3_conv17_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3_conv18_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage3__plus5_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage4_conv3_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [2, 2]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage4_conv0_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [2, 2]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage4_conv1_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage4_conv2_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage4__plus0_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage4_conv4_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage4_conv5_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently onlMODEL : resnet50v112int8.onnx

===============
ONNX Graph
===============

data ['N', 3, 224, 224]

===============
Aidge Graph
===============

  Node(name='ConvBnFusion_W_resnetv17_stage1_conv3_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='resnetv17_dense0_fwd_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[]])
  Node(name='resnetv17_dense0_fwd_MatMul_quant', optype='QLinearMatMul', parents: [1, 1], children: [[1]])
  Node(name='resnetv17_dense0_fwd_Add_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='flatten_473_QuantizeLinear', optype='Quantizer', parents: [1], children: [[1]])
  Node(name='flatten_473', optype='Flatten', parents: [1], children: [[1]])
  Node(name='resnetv17_pool1_fwd_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
  Node(name='resnetv17_stage4_conv9_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv0_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv0_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv0_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage4_batchnorm3_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage4_batchnorm3_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv3_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage4_batchnorm3_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv3_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv3_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3__plus5_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3__plus5_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3_batchnorm18_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm18_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_batchnorm18_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv18_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv18_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv18_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu11_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm17_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu11_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv17_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv17_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv17_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu10_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage3_relu10_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm16_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv16_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv16_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv16_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3__plus4_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3__plus4_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3_batchnorm15_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage3_batchnorm15_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv15_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm15_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv15_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv15_weight_quantized', optype='Producer', children: [[1]])
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  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm7_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv7_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv7_weight_scale', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1__plus1_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv4_weight_scale', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_relu1_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv3_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm6_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv6_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_relu3_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage1_relu3_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm5_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv1_weight_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv5_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv5_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv2_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1__plus0_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage1_batchnorm2_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm2_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_batchnorm2_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv2_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv2_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv3_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_relu1_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm1_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv1_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv1_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv1_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_batchnorm3_fwd_zero_point', optype='Producer', children: [[1, 1]])

===============
Supported nodes
===============

Native operators: 369 (6 types)
- Dequantizer: 2
- Flatten: 1
- PaddedMaxPooling2D: 1
- Producer: 362
- QLinearMatMul: 1
- Quantizer: 2
Generic operators: 71 (3 types)
- QLinearAdd: 17
- QLinearConv: 53
- QLinearGlobalAveragePool: 1
Native types coverage: 66.7% (6/9)
Native operators coverage: 83.9% (369/440)
  (defaultdict(<class 'int'>, {'Dequantizer': 2, 'QLinearMatMul': 1, 'Quantizer': 2, 'Flatten': 1, 'Producer': 362, 'PaddedMaxPooling2D': 1}), defaultdict(<class 'int'>, {'QLinearAdd': 17, 'QLinearConv': 53, 'QLinearGlobalAveragePool': 1}))

===============\Graph manipulation
===============

Remove flatten
Fuse batchnorm
Expand metaop
Fuse to metaop

===============
New Aidge Graph
===============

  Node(name='ConvBnFusion_W_resnetv17_stage4_conv3_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage4_batchnorm3_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv3_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv3_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3__plus5_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3__plus5_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3_batchnorm18_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm18_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_batchnorm18_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv18_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv18_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv18_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu11_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm17_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu11_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv17_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv17_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv17_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu10_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage3_relu10_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm16_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv16_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv16_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv16_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3__plus4_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3__plus4_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3_batchnorm15_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage3_batchnorm15_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv15_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm15_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv15_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv15_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu9_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage3_relu9_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm14_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv14_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv14_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv14_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu8_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm13_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu8_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv13_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv13_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv13_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3__plus3_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3__plus3_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3_batchnorm12_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage3_batchnorm12_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm12_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv12_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv12_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv12_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu7_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage3_relu7_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm11_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv11_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv11_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv11_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu6_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm10_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu6_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv10_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv10_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv10_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3__plus2_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3__plus2_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3_batchnorm9_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage3_batchnorm9_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm9_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv9_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv9_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv9_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu5_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage3_relu5_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm8_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv8_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv8_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv8_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu4_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm7_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu4_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv7_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv7_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv7_weight_quantized', optype='Producer', children: [[1]])
  Node(name='fused resnetv17_stage1_conv5_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='fused resnetv17_stage1_conv4_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage1__plus0_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='resnetv17_stage2__plus0_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='fused resnetv17_stage1_conv1_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='fused resnetv17_conv0_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage2_conv2_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage3_conv2_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage1_conv3_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_QuantizeLinear_CastOut', optype='Cast', parents: [1], children: [[1]])
  Node(name='data_QuantizeLinear_CastIn', optype='Cast', parents: [0], children: [[1]])
  Node(name='data_QuantizeLinear_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='data_QuantizeLinear_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='data_QuantizeLinear_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='data_QuantizeLinear_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='data_QuantizeLinear_AddQuant', optype='Add', parents: [1, 1], children: [[1]])
  Node(name='ScalingFactor', optype='Producer', children: [[1]])
  Node(name='data_QuantizeLinear_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='resnetv17_dense0_bias_zero_point', optype='Producer', children: [[1]])
  Node(name='resnetv17_dense0_fwd_zero_point', optype='Producer', children: [[1]])
  Node(name='resnetv17_dense0_fwd_MatMul_scale', optype='Producer', children: [[1]])
  Node(name='resnetv17_dense0_fwd_MatMul_zero_point', optype='Producer', children: [[1]])
  Node(name='', optype='PadMaxPool', parents: [1, 0, 0, 0], children: [[1, 1], []])
  Node(name='resnetv17_dense0_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_pool1_fwd_scale', optype='Producer', children: [[1]])
  Node(name='resnetv17_pool1_fwd_zero_point', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage4__plus2_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage4__plus2_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage4_batchnorm9_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage4_batchnorm9_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv9_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage4_batchnorm9_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage4_batchnorm8_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage4_relu5_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv8_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv8_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv8_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage4_relu4_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage4_batchnorm7_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage4_relu4_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv7_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv7_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv7_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage4__plus1_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage4__plus1_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage4_batchnorm6_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage4_batchnorm6_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv6_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage4_batchnorm6_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv6_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv6_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage4_relu3_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage4_batchnorm5_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_conv0_weight_scale', optype='Producer', children: [[1]])
  Node(name='data_zero_point', optype='Producer', children: [[1]])
  Node(name='data_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv12_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv12_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage2_relu7_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage2_relu7_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage2_batchnorm11_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv11_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv11_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv11_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage2_relu6_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage2__plus2_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage2__plus2_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage2_batchnorm9_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage2_batchnorm9_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage2_batchnorm9_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv9_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv9_weight_scale', optype='Producer', children: [[1]])
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  Node(name='ConvBnFusion_W_resnetv17_stage3_conv6_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv6_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv6_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu3_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm5_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu3_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv5_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv5_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv5_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu2_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm4_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3_relu2_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv4_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv4_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv4_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3__plus0_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3__plus0_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage3_batchnorm2_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage3_batchnorm2_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage3_batchnorm2_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv2_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage3_conv2_weight_scale', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage2_relu6_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage2_batchnorm10_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv10_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv10_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv10_weight_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv0_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1__plus1_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage1_batchnorm6_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage1_batchnorm6_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv7_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_relu5_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage1_relu5_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm8_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv8_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv8_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv8_weight_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv4_weight_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv5_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_relu2_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage1_relu2_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm4_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv4_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1__plus0_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage1_relu0_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage1_relu0_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm0_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv6_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv6_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_relu4_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage1_relu4_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm7_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv7_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv7_weight_scale', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1__plus1_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv4_weight_scale', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_relu1_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv3_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm6_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv6_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_relu3_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='resnetv17_stage1_relu3_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm5_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage2_conv1_weight_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv5_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv5_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv2_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1__plus0_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='resnetv17_stage1_batchnorm2_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm2_beta_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_batchnorm2_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv2_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv2_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv3_weight_quantized', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage1_relu1_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_BN_B_resnetv17_stage1_batchnorm1_beta_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv1_weight_zero_point', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv1_weight_scale', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv1_weight_quantized', optype='Producer', children: [[1]])
  Node(name='ConvBnFusion_W_resnetv17_stage1_conv3_weight_zero_point', optype='Producer', children: [[1]])
  y supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage4_conv6_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage4__plus1_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage4_conv7_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mfused resnetv17_stage4_conv8_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage4_conv9_fwd_quant[0m] of type [[1m[3mQLinearConv[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* auto_pad : b'NOTSET'
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 1
[[94mNOTICE[0m]   	* kernel_shape : [1, 1]
[[94mNOTICE[0m]   	* pads : [0, 0, 0, 0]
[[94mNOTICE[0m]   	* strides : [1, 1]
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_stage4__plus2_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_pool1_fwd_quant[0m] of type [[1m[3mQLinearGlobalAveragePool[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* channels_last : 0
[[94mNOTICE[0m] - Node name "resnetv17_dense0_fwd_MatMul_quant" is a duplicate, renaming it to
[[94mNOTICE[0m]   resnetv17_dense0_fwd_MatMul_quant_1.
[[94mNOTICE[0m] - Loaded node [[1m[3mresnetv17_dense0_fwd_Add_quant[0m] of type [[1m[3mQLinearAdd[0m] as a GenericOperator.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_1.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_1.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_2.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_2.
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m]   implementation has been provided!
[[31mERROR[0m] - Unable to forward data type for node fused resnetv17_conv0_fwd_quant (of type QLinearConv)
[[31mERROR[0m] - Unable to forward data type for node fused resnetv17_conv0_fwd_quant (of type QLinearConv)
[[31mERROR[0m] - Unable to forward data type for node fused resnetv17_conv0_fwd_quant (of type QLinearConv)
[[33mWARNING[0m] - Unable to forward data type (circular dependency and/or wrong dimensions and/or data
[[33mWARNING[0m]   dependent dimension?). Unable to compute output data type for nodes [" (QMatMul)", "
[[33mWARNING[0m]   (PadMaxPool)", "resnetv17_stage1_conv3_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage3_conv2_fwd_quant (QLinearConv)", "resnetv17_stage2_conv2_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "fused resnetv17_conv0_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage1_conv1_fwd_quant (QLinearConv)", "resnetv17_stage2__plus0_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage1__plus0_quant (QLinearAdd)", "fused
[[33mWARNING[0m]   resnetv17_stage1_conv4_fwd_quant (QLinearConv)", "fused resnetv17_stage1_conv5_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_stage4_conv9_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "flatten_473_QuantizeLinear_AddQuant (Add)", "flatten_473_QuantizeLinear_ClipQuant
[[33mWARNING[0m]   (Clip)", "resnetv17_dense0_fwd_Add_quant (QLinearAdd)",
[[33mWARNING[0m]   "resnetv17_dense0_fwd_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m]   "resnetv17_dense0_fwd_DequantizeLinear_MulDeQuant (Mul)", "fused
[[33mWARNING[0m]   resnetv17_stage1_conv0_fwd_quant (QLinearConv)", "resnetv17_stage1__plus1_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage1_conv2_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage1_conv6_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage1_conv8_fwd_quant (QLinearConv)", "resnetv17_stage1__plus2_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage3__plus0_quant (QLinearAdd)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv0_fwd_quant (QLinearConv)", "fused resnetv17_stage2_conv5_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "fused resnetv17_stage1_conv7_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv4_fwd_quant (QLinearConv)", "resnetv17_stage2_conv3_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_pool1_fwd_DequantizeLinear_SubDeQuant (Sub)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv1_fwd_quant (QLinearConv)", "resnetv17_stage1_conv9_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_stage2__plus1_quant (QLinearAdd)",
[[33mWARNING[0m]   "resnetv17_stage2_conv6_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv8_fwd_quant (QLinearConv)", "fused resnetv17_stage2_conv7_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_stage2__plus2_quant (QLinearAdd)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv11_fwd_quant (QLinearConv)", "resnetv17_stage2__plus3_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage4_conv2_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage4__plus0_quant (QLinearAdd)", "resnetv17_stage2_conv9_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "fused resnetv17_stage3_conv5_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv0_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv10_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv1_fwd_quant (QLinearConv)", "resnetv17_stage2_conv12_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "fused resnetv17_stage3_conv4_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage3_conv3_fwd_quant (QLinearConv)", "resnetv17_stage3__plus1_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage3_conv6_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv8_fwd_quant (QLinearConv)", "fused resnetv17_stage3_conv7_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_stage3__plus2_quant (QLinearAdd)",
[[33mWARNING[0m]   "resnetv17_stage3_conv9_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv11_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv14_fwd_quant (QLinearConv)", "resnetv17_stage3__plus3_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage3_conv12_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage3_conv15_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv13_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv10_fwd_quant (QLinearConv)", "resnetv17_stage3__plus4_quant
[[33mWARNING[0m]   (QLinearAdd)", "fused resnetv17_stage3_conv17_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv16_fwd_quant (QLinearConv)", "resnetv17_stage3__plus5_quant
[[33mWARNING[0m]   (QLinearAdd)", "fused resnetv17_stage4_conv5_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage4_conv3_fwd_quant (QLinearConv)", "resnetv17_stage3_conv18_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_pool1_fwd_quant (QLinearGlobalAveragePool)", "fused
[[33mWARNING[0m]   resnetv17_stage4_conv1_fwd_quant (QLinearConv)", "fused resnetv17_stage4_conv8_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "fused resnetv17_stage4_conv4_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage4_conv0_fwd_quant (QLinearConv)", "resnetv17_stage4__plus1_quant
[[33mWARNING[0m]   (QLinearAdd)", "fused resnetv17_stage4_conv7_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage4__plus2_quant (QLinearAdd)", "resnetv17_stage4_conv6_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_pool1_fwd_DequantizeLinear_MulDeQuant (Mul)",
[[33mWARNING[0m]   "flatten_473_QuantizeLinear_MulQuant (Mul)"].
[[33mWARNING[0m] - GenericOperator: cannot compute output dims, no ComputeDimsFunc function provided.
[[33mWARNING[0m] - GenericOperator: cannot compute output dims, no ComputeDimsFunc function provided.
[[33mWARNING[0m] - GenericOperator: cannot compute output dims, no ComputeDimsFunc function provided.
[[33mWARNING[0m] - Unable to forward dimensions (circular dependency and/or wrong dimensions and/or data
[[33mWARNING[0m]   dependent dimension?). Unable to compute output dims for nodes [" (QMatMul)", "
[[33mWARNING[0m]   (PadMaxPool)", "resnetv17_stage1_conv3_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage3_conv2_fwd_quant (QLinearConv)", "resnetv17_stage2_conv2_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "fused resnetv17_conv0_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage1_conv1_fwd_quant (QLinearConv)", "resnetv17_stage2__plus0_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage1__plus0_quant (QLinearAdd)", "fused
[[33mWARNING[0m]   resnetv17_stage1_conv4_fwd_quant (QLinearConv)", "fused resnetv17_stage1_conv5_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_stage4_conv9_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "flatten_473_QuantizeLinear_AddQuant (Add)", "flatten_473_QuantizeLinear_ClipQuant
[[33mWARNING[0m]   (Clip)", "resnetv17_dense0_fwd_Add_quant (QLinearAdd)",
[[33mWARNING[0m]   "resnetv17_dense0_fwd_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m]   "resnetv17_dense0_fwd_DequantizeLinear_MulDeQuant (Mul)", "fused
[[33mWARNING[0m]   resnetv17_stage1_conv0_fwd_quant (QLinearConv)", "resnetv17_stage1__plus1_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage1_conv2_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage1_conv6_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage1_conv8_fwd_quant (QLinearConv)", "resnetv17_stage1__plus2_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage3__plus0_quant (QLinearAdd)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv0_fwd_quant (QLinearConv)", "fused resnetv17_stage2_conv5_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "fused resnetv17_stage1_conv7_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv4_fwd_quant (QLinearConv)", "resnetv17_stage2_conv3_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_pool1_fwd_DequantizeLinear_SubDeQuant (Sub)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv1_fwd_quant (QLinearConv)", "resnetv17_stage1_conv9_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_stage2__plus1_quant (QLinearAdd)",
[[33mWARNING[0m]   "resnetv17_stage2_conv6_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv8_fwd_quant (QLinearConv)", "fused resnetv17_stage2_conv7_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_stage2__plus2_quant (QLinearAdd)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv11_fwd_quant (QLinearConv)", "resnetv17_stage2__plus3_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage4_conv2_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage4__plus0_quant (QLinearAdd)", "resnetv17_stage2_conv9_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "fused resnetv17_stage3_conv5_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv0_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage2_conv10_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv1_fwd_quant (QLinearConv)", "resnetv17_stage2_conv12_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "fused resnetv17_stage3_conv4_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage3_conv3_fwd_quant (QLinearConv)", "resnetv17_stage3__plus1_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage3_conv6_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv8_fwd_quant (QLinearConv)", "fused resnetv17_stage3_conv7_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_stage3__plus2_quant (QLinearAdd)",
[[33mWARNING[0m]   "resnetv17_stage3_conv9_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3Node(name='resnetv17_dense0_fwd_DequantizeLinear_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='ScalingFactor_2', optype='Producer', children: [[1]])
  Node(name='resnetv17_dense0_fwd_DequantizeLinear_MulDeQuant', optype='Mul', parents: [1, 1], children: [[]])
  Node(name='ZeroPoint_2', optype='Producer', children: [[1]])
  Node(name='resnetv17_dense0_fwd_MatMul_quant_w_dq', optype='Dequantizer', parents: [1], children: [[1]])
  Node(name='resnetv17_dense0_fwd_MatMul_quant_x_dq', optype='Dequantizer', parents: [1], children: [[1]])
  Node(name='resnetv17_dense0_fwd_DequantizeLinear_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='resnetv17_dense0_fwd_Add_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='flatten_473_QuantizeLinear_CastOut', optype='Cast', parents: [1], children: [[1]])
  Node(name='flatten_473_QuantizeLinear_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='flatten_473_QuantizeLinear_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='flatten_473_QuantizeLinear_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='flatten_473_QuantizeLinear_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='flatten_473_QuantizeLinear_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='flatten_473_QuantizeLinear_AddQuant', optype='Add', parents: [1, 1], children: [[1]])
  Node(name='ScalingFactor', optype='Producer', children: [[1]])
  Node(name='flatten_473', optype='Flatten', parents: [1], children: [[1]])
  Node(name='resnetv17_stage4_conv9_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage1_batchnorm3_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='flatten_473_QuantizeLinear_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='resnetv17_pool1_fwd_DequantizeLinear_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='resnetv17_stage4_conv6_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage4__plus2_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='fused resnetv17_stage4_conv7_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage4__plus1_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='fused resnetv17_stage4_conv0_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='fused resnetv17_stage4_conv4_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='fused resnetv17_stage4_conv8_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='fused resnetv17_stage4_conv1_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_pool1_fwd_quant', optype='QLinearGlobalAveragePool', parents: [1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage3_conv18_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage4_conv3_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='fused resnetv17_stage4_conv5_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='ScalingFactor_1', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage3__plus5_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='fused resnetv17_stage3_conv16_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='fused resnetv17_stage3_conv17_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage3__plus4_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='fused resnetv17_stage3_conv10_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='fused resnetv17_stage3_conv13_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage3_conv15_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage3_conv12_fwd_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='resnetv17_stage3__plus3_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='resnetv17_stage4_batchnorm3_fwd_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ZeroPoint_1', optype='Producer', children: [[1]])
  Node(name='resnetv17_stage4_batchnorm3_fwd_scale', optype='Producer', children: [[1, 1]])
  Node(name='ConvBnFusion_W_resnetv17_stage4_conv0_weight_quantized', optype='Producer', children: [[1]])

===============
Supported nodes 2
===============

Native operators: 397 (11 types)
- Add: 2
- Cast: 6
- Clip: 2
- Dequantizer: 2
- Flatten: 1
- Mul: 4
- PadMaxPool: 1
- Producer: 374
- QMatMul: 1
- Round: 2
- Sub: 2
Generic operators: 71 (3 types)
- QLinearAdd: 17
- QLinearConv: 53
- QLinearGlobalAveragePool: 1
Native types coverage: 78.6% (11/14)
Native operators coverage: 84.8% (397/468)
  (defaultdict(<class 'int'>, {'Producer': 374, 'Cast': 6, 'Round': 2, 'Clip': 2, 'Add': 2, 'Mul': 4, 'PadMaxPool': 1, 'QMatMul': 1, 'Sub': 2, 'Dequantizer': 2, 'Flatten': 1}), defaultdict(<class 'int'>, {'QLinearConv': 53, 'QLinearAdd': 17, 'QLinearGlobalAveragePool': 1}))

===============
Supported nodes
===============

Native operators: 397 (11 types)
- Add: 2
- Cast: 6
- Clip: 2
- Dequantizer: 2
- Flatten: 1
- Mul: 4
- PadMaxPool: 1
- Producer: 374
- QMatMul: 1
- Round: 2
- Sub: 2
Generic operators: 71 (3 types)
- QLinearAdd: 17
- QLinearConv: 53
- QLinearGlobalAveragePool: 1
Native types coverage: 78.6% (11/14)
Native operators coverage: 84.8% (397/468)
  (defaultdict(<class 'int'>, {'Producer': 374, 'Cast': 6, 'Round': 2, 'Clip': 2, 'Add': 2, 'Mul': 4, 'PadMaxPool': 1, 'QMatMul': 1, 'Sub': 2, 'Dequantizer': 2, 'Flatten': 1}), defaultdict(<class 'int'>, {'QLinearConv': 53, 'QLinearAdd': 17, 'QLinearGlobalAveragePool': 1}))

===============
Compile
===============

OK

===============
Create Scheduler
===============

OK

===============
Name nodes
===============

ConvBnFusion_W_resnetv17_conv0_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_conv0_weight_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage1_conv9_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv9_weight_zero_point (Producer)
resnetv17_stage1_batchnorm9_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage1_batchnorm9_beta_quantized (Producer)
resnetv17_stage1_batchnorm9_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv9_weight_quantized (Producer)
resnetv17_stage1__plus2_zero_point (Producer)
resnetv17_stage1__plus2_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv3_weight_zero_point (Producer)
resnetv17_stage2_batchnorm3_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm3_beta_quantized (Producer)
resnetv17_dense0_fwd_scale (Producer)
resnetv17_dense0_bias_quantized (Producer)
resnetv17_dense0_bias_scale (Producer)
resnetv17_stage2_batchnorm3_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv0_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv0_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm0_beta_quantized (Producer)
resnetv17_stage2_relu0_fwd_zero_point (Producer)
resnetv17_stage2_relu0_fwd_scale (Producer)
resnetv17_stage3_relu0_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv1_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv1_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv1_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm1_beta_quantized (Producer)
resnetv17_stage2_relu1_fwd_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage2_conv0_weight_quantized (Producer)
resnetv17_stage2_relu1_fwd_scale (Producer)
resnetv17_stage2_batchnorm2_fwd_scale (Producer)
resnetv17_stage2__plus0_zero_point (Producer)
resnetv17_stage2__plus0_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv4_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv4_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv4_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm4_beta_quantized (Producer)
resnetv17_stage2_relu2_fwd_zero_point (Producer)
resnetv17_stage2_relu2_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv5_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv5_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv5_weight_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage2_conv3_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv3_weight_scale (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm5_beta_quantized (Producer)
resnetv17_stage2_relu3_fwd_zero_point (Producer)
resnetv17_stage2_relu3_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv6_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv6_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv6_weight_zero_point (Producer)
resnetv17_stage2_batchnorm6_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm6_beta_quantized (Producer)
resnetv17_stage2_batchnorm6_fwd_scale (Producer)
resnetv17_stage2__plus1_zero_point (Producer)
resnetv17_stage2__plus1_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv7_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv7_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv7_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm7_beta_quantized (Producer)
resnetv17_stage2_relu4_fwd_zero_point (Producer)
resnetv17_stage2_relu4_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv8_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv8_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv8_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm8_beta_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv2_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv2_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv2_weight_zero_point (Producer)
resnetv17_stage2_batchnorm2_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm2_beta_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv12_weight_zero_point (Producer)
resnetv17_stage2_batchnorm12_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm12_beta_quantized (Producer)
resnetv17_stage2_batchnorm12_fwd_scale (Producer)
resnetv17_stage2__plus3_zero_point (Producer)
resnetv17_stage2__plus3_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv3_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv3_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv3_weight_zero_point (Producer)
resnetv17_stage3_batchnorm3_fwd_zero_point (Producer)
resnetv17_stage3_batchnorm3_fwd_scale (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm3_beta_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv0_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv0_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv0_weight_zero_point (Producer)
resnetv17_stage3_relu0_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm0_beta_quantized (Producer)
resnetv17_stage2_relu5_fwd_zero_point (Producer)
resnetv17_stage2_relu5_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv9_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv9_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv9_weight_zero_point (Producer)
resnetv17_stage2_batchnorm9_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm9_beta_quantized (Producer)
resnetv17_stage2_batchnorm9_fwd_scale (Producer)
resnetv17_stage2__plus2_zero_point (Producer)
resnetv17_stage2__plus2_scale (Producer)
resnetv17_stage2_relu6_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv11_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv11_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv11_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm11_beta_quantized (Producer)
resnetv17_stage2_relu7_fwd_zero_point (Producer)
resnetv17_stage2_relu7_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv12_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv12_weight_scale (Producer)
data_scale (Producer)
data_zero_point (Producer)
ConvBnFusion_W_resnetv17_conv0_weight_scale (Producer)
ConvBnFusion_BN_B_resnetv17_stage4_batchnorm5_beta_quantized (Producer)
resnetv17_stage4_relu3_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv6_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv6_weight_scale (Producer)
ConvBnFusion_BN_B_resnetv17_stage4_batchnorm6_beta_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv6_weight_zero_point (Producer)
resnetv17_stage4_batchnorm6_fwd_zero_point (Producer)
resnetv17_stage4_batchnorm6_fwd_scale (Producer)
resnetv17_stage4__plus1_zero_point (Producer)
resnetv17_stage4__plus1_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv7_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv7_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv7_weight_zero_point (Producer)
resnetv17_stage4_relu4_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage4_batchnorm7_beta_quantized (Producer)
resnetv17_stage4_relu4_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv8_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv8_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv8_weight_zero_point (Producer)
resnetv17_stage4_relu5_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage4_batchnorm8_beta_quantized (Producer)
ConvBnFusion_BN_B_resnetv17_stage4_batchnorm9_beta_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv9_weight_zero_point (Producer)
resnetv17_stage4_batchnorm9_fwd_zero_point (Producer)
resnetv17_stage4_batchnorm9_fwd_scale (Producer)
resnetv17_stage4__plus2_zero_point (Producer)
resnetv17_stage4__plus2_scale (Producer)
resnetv17_pool1_fwd_zero_point (Producer)
resnetv17_pool1_fwd_scale (Producer)
resnetv17_dense0_weight_quantized (Producer)
resnetv17_dense0_fwd_MatMul_zero_point (Producer)
resnetv17_dense0_fwd_MatMul_scale (Producer)
resnetv17_dense0_fwd_zero_point (Producer)
resnetv17_dense0_bias_zero_point (Producer)
ScalingFactor (Producer)
ZeroPoint (Producer)
data_QuantizeLinear_ClipQuantMin (Producer)
data_QuantizeLinear_ClipQuantMax (Producer)
ConvBnFusion_W_resnetv17_stage3_conv7_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv7_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv7_weight_zero_point (Producer)
resnetv17_stage3_relu4_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm7_beta_quantized (Producer)
resnetv17_stage3_relu4_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv8_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv8_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv8_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm8_beta_quantized (Producer)
resnetv17_stage3_relu5_fwd_zero_point (Producer)
resnetv17_stage3_relu5_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv9_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv9_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv9_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm9_beta_quantized (Producer)
resnetv17_stage3_batchnorm9_fwd_zero_point (Producer)
resnetv17_stage3_batchnorm9_fwd_scale (Producer)
resnetv17_stage3__plus2_zero_point (Producer)
resnetv17_stage3__plus2_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv10_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv10_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv10_weight_zero_point (Producer)
resnetv17_stage3_relu6_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm10_beta_quantized (Producer)
resnetv17_stage3_relu6_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv11_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv11_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv11_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm11_beta_quantized (Producer)
resnetv17_stage3_relu7_fwd_zero_point (Producer)
resnetv17_stage3_relu7_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv12_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv12_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv12_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm12_beta_quantized (Producer)
resnetv17_stage3_batchnorm12_fwd_zero_point (Producer)
resnetv17_stage3_batchnorm12_fwd_scale (Producer)
resnetv17_stage3__plus3_zero_point (Producer)
resnetv17_stage3__plus3_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv13_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv13_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv13_weight_zero_point (Producer)
resnetv17_stage3_relu8_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm13_beta_quantized (Producer)
resnetv17_stage3_relu8_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv14_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv14_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv14_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm14_beta_quantized (Producer)
resnetv17_stage3_relu9_fwd_zero_point (Producer)
resnetv17_stage3_relu9_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv15_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv15_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm15_beta_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv15_weight_scale (Producer)
resnetv17_stage3_batchnorm15_fwd_zero_point (Producer)
resnetv17_stage3_batchnorm15_fwd_scale (Producer)
resnetv17_stage3__plus4_zero_point (Producer)
resnetv17_stage3__plus4_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv16_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv16_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv16_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm16_beta_quantized (Producer)
resnetv17_stage3_relu10_fwd_zero_point (Producer)
resnetv17_stage3_relu10_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv17_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv17_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv17_weight_zero_point (Producer)
resnetv17_stage3_relu11_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm17_beta_quantized (Producer)
resnetv17_stage3_relu11_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv18_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv18_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv18_weight_zero_point (Producer)
resnetv17_stage3_batchnorm18_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm18_beta_quantized (Producer)
resnetv17_stage3_batchnorm18_fwd_scale (Producer)
resnetv17_stage3__plus5_zero_point (Producer)
resnetv17_stage3__plus5_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv3_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv3_weight_scale (Producer)
ConvBnFusion_BN_B_resnetv17_stage4_batchnorm3_beta_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv3_weight_zero_point (Producer)
resnetv17_stage4_batchnorm3_fwd_zero_point (Producer)
resnetv17_stage4_batchnorm3_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv0_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv0_weight_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage4_conv0_weight_scale (Producer)
ZeroPoint_1 (Producer)
ScalingFactor (Producer)
ZeroPoint (Producer)
flatten_473_QuantizeLinear_ClipQuantMin (Producer)
flatten_473_QuantizeLinear_ClipQuantMax (Producer)
ZeroPoint_2 (Producer)
ScalingFactor_2 (Producer)
ConvBnFusion_W_resnetv17_stage1_conv3_weight_zero_point (Producer)
resnetv17_stage1_batchnorm3_fwd_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage1_conv1_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage1_conv1_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv1_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage1_batchnorm1_beta_quantized (Producer)
resnetv17_stage1_relu1_fwd_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage1_conv3_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage1_conv2_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv2_weight_zero_point (Producer)
resnetv17_stage1_batchnorm2_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage1_batchnorm2_beta_quantized (Producer)
resnetv17_stage1_batchnorm2_fwd_scale (Producer)
resnetv17_stage1__plus0_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage1_conv2_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage1_conv5_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv5_weight_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage2_conv1_weight_quantized (Producer)
ConvBnFusion_BN_B_resnetv17_stage1_batchnorm5_beta_quantized (Producer)
resnetv17_stage1_relu3_fwd_zero_point (Producer)
resnetv17_stage1_relu3_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv6_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage1_batchnorm6_beta_quantized (Producer)
ConvBnFusion_W_resnetv17_stage1_conv3_weight_scale (Producer)
resnetv17_stage1_relu1_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv4_weight_scale (Producer)
resnetv17_stage1__plus1_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv7_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv7_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage1_batchnorm7_beta_quantized (Producer)
resnetv17_stage1_relu4_fwd_zero_point (Producer)
resnetv17_stage1_relu4_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv6_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage1_conv6_weight_scale (Producer)
ConvBnFusion_BN_B_resnetv17_stage1_batchnorm0_beta_quantized (Producer)
resnetv17_stage1_relu0_fwd_zero_point (Producer)
resnetv17_stage1_relu0_fwd_scale (Producer)
resnetv17_stage1__plus0_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv4_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage1_batchnorm4_beta_quantized (Producer)
resnetv17_stage1_relu2_fwd_zero_point (Producer)
resnetv17_stage1_relu2_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv5_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage1_conv4_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage1_conv8_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage1_conv8_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv8_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage1_batchnorm8_beta_quantized (Producer)
resnetv17_stage1_relu5_fwd_zero_point (Producer)
resnetv17_stage1_relu5_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv7_weight_quantized (Producer)
resnetv17_stage1_batchnorm6_fwd_zero_point (Producer)
resnetv17_stage1_batchnorm6_fwd_scale (Producer)
resnetv17_stage1__plus1_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage1_conv0_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv10_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage2_conv10_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage2_conv10_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage2_batchnorm10_beta_quantized (Producer)
resnetv17_stage2_relu6_fwd_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage3_conv2_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv2_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm2_beta_quantized (Producer)
resnetv17_stage3_batchnorm2_fwd_zero_point (Producer)
resnetv17_stage3_batchnorm2_fwd_scale (Producer)
resnetv17_stage3__plus0_zero_point (Producer)
resnetv17_stage3__plus0_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv4_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv4_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv4_weight_zero_point (Producer)
resnetv17_stage3_relu2_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm4_beta_quantized (Producer)
resnetv17_stage3_relu2_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv5_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv5_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv5_weight_zero_point (Producer)
resnetv17_stage3_relu3_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm5_beta_quantized (Producer)
resnetv17_stage3_relu3_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv6_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage3_conv6_weight_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage3_conv6_weight_scale (Producer)
resnetv17_stage3_batchnorm6_fwd_zero_point (Producer)
resnetv17_stage3_batchnorm6_fwd_scale (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm6_beta_quantized (Producer)
resnetv17_stage3__plus1_zero_point (Producer)
resnetv17_stage3__plus1_scale (Producer)
resnetv17_stage4_relu0_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage4_batchnorm0_beta_quantized (Producer)
resnetv17_stage4_relu0_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv1_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv1_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv1_weight_zero_point (Producer)
resnetv17_stage4_relu1_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage4_batchnorm1_beta_quantized (Producer)
resnetv17_stage4_relu1_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv2_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv2_weight_scale (Producer)
ConvBnFusion_BN_B_resnetv17_stage4_batchnorm2_beta_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv2_weight_zero_point (Producer)
resnetv17_stage4_batchnorm2_fwd_zero_point (Producer)
resnetv17_stage4_batchnorm2_fwd_scale (Producer)
resnetv17_stage4__plus0_zero_point (Producer)
resnetv17_stage4__plus0_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv4_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv4_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv4_weight_zero_point (Producer)
resnetv17_stage4_relu2_fwd_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage4_batchnorm4_beta_quantized (Producer)
resnetv17_stage4_relu2_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv5_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv5_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv5_weight_zero_point (Producer)
resnetv17_stage4_relu3_fwd_zero_point (Producer)
resnetv17_stage4_relu5_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage4_conv9_weight_quantized (Producer)
ConvBnFusion_W_resnetv17_stage4_conv9_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv1_weight_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv1_weight_zero_point (Producer)
ConvBnFusion_BN_B_resnetv17_stage3_batchnorm1_beta_quantized (Producer)
resnetv17_stage3_relu1_fwd_zero_point (Producer)
resnetv17_stage3_relu1_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage3_conv2_weight_quantized (Producer)
resnetv17_stage1_batchnorm3_fwd_scale (Producer)
resnetv17_relu0_fwd_scale (Producer)
ConvBnFusion_W_resnetv17_stage1_conv0_weight_zero_point (Producer)
ConvBnFusion_W_resnetv17_stage1_conv0_weight_scale (Producer)
ConvBnFusion_BN_B_resnetv17_stage1_batchnorm3_beta_quantized (Producer)
ConvBnFusion_BN_B_resnetv17_batchnorm0_beta_quantized (Producer)
resnetv17_relu0_fwd_zero_point (Producer)
ScalingFactor_1 (Producer)
_Cast_0 (Cast)
_Dequantizer_0 (Dequantizer)
_Mul_0 (Mul)
_Round_0 (Round)
_Add_0 (Add)
_Clip_0 (Clip)
_Cast_1 (Cast)
_QLinearConv_0 (QLinearConv)
_PadMaxPool_0 (PadMaxPool)
_QLinearConv_1 (QLinearConv)
_QLinearConv_2 (QLinearConv)
_QLinearConv_3 (QLinearConv)
_QLinearConv_4 (QLinearConv)
_QLinearAdd_0 (QLinearAdd)
_QLinearConv_5 (QLinearConv)
_QLinearConv_6 (QLinearConv)
_QLinearConv_7 (QLinearConv)
_QLinearAdd_1 (QLinearAdd)
_QLinearConv_8 (QLinearConv)
_QLinearConv_9 (QLinearConv)
_QLinearConv_10 (QLinearConv)
_QLinearAdd_2 (QLinearAdd)
_QLinearConv_11 (QLinearConv)
_QLinearConv_12 (QLinearConv)
_QLinearConv_13 (QLinearConv)
_QLinearConv_14 (QLinearConv)
_QLinearAdd_3 (QLinearAdd)
_QLinearConv_15 (QLinearConv)
_QLinearConv_16 (QLinearConv)
_QLinearConv_17 (QLinearConv)
_QLinearAdd_4 (QLinearAdd)
_QLinearConv_18 (QLinearConv)
_QLinearConv_19 (QLinearConv)
_QLinearConv_20 (QLinearConv)
_QLinearAdd_5 (QLinearAdd)
_QLinearConv_21 (QLinearConv)
_QLinearConv_22 (QLinearConv)
_QLinearConv_23 (QLinearConv)
_QLinearAdd_6 (QLinearAdd)
_QLinearConv_24 (QLinearConv)
_QLinearConv_25 (QLinearConv)
_QLinearConv_26 (QLinearConv)
_QLinearConv_27 (QLinearConv)
_QLinearAdd_7 (QLinearAdd)
_QLinearConv_28 (QLinearConv)
_QLinearConv_29 (QLinearConv)
_QLinearConv_30 (QLinearConv)
_QLinearAdd_8 (QLinearAdd)
_QLinearConv_31 (QLinearConv)
_QLinearConv_32 (QLinearConv)
_QLinearConv_33 (QLinearConv)
_QLinearAdd_9 (QLinearAdd)
_QLinearConv_34 (QLinearConv)
_QLinearConv_35 (QLinearConv)
_QLinearConv_36 (QLinearConv)
_QLinearAdd_10 (QLinearAdd)
_QLinearConv_37 (QLinearConv)
_QLinearConv_38 (QLinearConv)
_QLinearConv_39 (QLinearConv)
_QLinearAdd_11 (QLinearAdd)
_QLinearConv_40 (QLinearConv)
_QLinearConv_41 (QLinearConv)
_QLinearConv_42 (QLinearConv)
_QLinearAdd_12 (QLinearAdd)
_QLinearConv_43 (QLinearConv)
_QLinearConv_44 (QLinearConv)
_QLinearConv_45 (QLinearConv)
_QLinearConv_46 (QLinearConv)
_QLinearAdd_13 (QLinearAdd)
_QLinearConv_47 (QLinearConv)
_QLinearConv_48 (QLinearConv)
_QLinearConv_49 (QLinearConv)
_QLinearAdd_14 (QLinearAdd)
_QLinearConv_50 (QLinearConv)
_QLinearConv_51 (QLinearConv)
_QLinearConv_52 (QLinearConv)
_QLinearAdd_15 (QLinearAdd)
_QLinearGlobalAveragePool_0 (QLinearGlobalAveragePool)
_Cast_2 (Cast)
_Sub_0 (Sub)
_Mul_1 (Mul)
_Flatten_0 (Flatten)
_Cast_3 (Cast)
_Mul_2 (Mul)
_Round_1 (Round)
_Add_1 (Add)
_Clip_1 (Clip)
_Cast_4 (Cast)
_Dequantizer_1 (Dequantizer)
_QMatMul_0 (QMatMul)
_QLinearAdd_16 (QLinearAdd)
_Cast_5 (Cast)
_Sub_1 (Sub)
_Mul_3 (Mul)

===============
Set backend
===============

_conv11_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv14_fwd_quant (QLinearConv)", "resnetv17_stage3__plus3_quant
[[33mWARNING[0m]   (QLinearAdd)", "resnetv17_stage3_conv12_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage3_conv15_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv13_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv10_fwd_quant (QLinearConv)", "resnetv17_stage3__plus4_quant
[[33mWARNING[0m]   (QLinearAdd)", "fused resnetv17_stage3_conv17_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage3_conv16_fwd_quant (QLinearConv)", "resnetv17_stage3__plus5_quant
[[33mWARNING[0m]   (QLinearAdd)", "fused resnetv17_stage4_conv5_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage4_conv3_fwd_quant (QLinearConv)", "resnetv17_stage3_conv18_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_pool1_fwd_quant (QLinearGlobalAveragePool)", "fused
[[33mWARNING[0m]   resnetv17_stage4_conv1_fwd_quant (QLinearConv)", "fused resnetv17_stage4_conv8_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "fused resnetv17_stage4_conv4_fwd_quant (QLinearConv)", "fused
[[33mWARNING[0m]   resnetv17_stage4_conv0_fwd_quant (QLinearConv)", "resnetv17_stage4__plus1_quant
[[33mWARNING[0m]   (QLinearAdd)", "fused resnetv17_stage4_conv7_fwd_quant (QLinearConv)",
[[33mWARNING[0m]   "resnetv17_stage4__plus2_quant (QLinearAdd)", "resnetv17_stage4_conv6_fwd_quant
[[33mWARNING[0m]   (QLinearConv)", "resnetv17_pool1_fwd_DequantizeLinear_MulDeQuant (Mul)",
[[33mWARNING[0m]   "flatten_473_QuantizeLinear_MulQuant (Mul)"].
[[31mERROR[0m] - Assertion failed: exists(key) in /opt/aidge/aidge/aidge_core/include/aidge/utils/Registrar.hpp:87
[[95mFATAL[0m] - missing or invalid registrar key: "export_cpp" for registrable object N5Aidge8Round_OpE
[[95mFATAL[0m]   Did you include/import the corresponding module?
[[95mFATAL[0m]   If so, it is possible that the object is not yet supported.
[[95mFATAL[0m]   
[[95mFATAL[0m]   Available registrar keys are:
[[95mFATAL[0m]       cpu
Traceback (most recent call last):
  File "/app/AI_Project/01_generate_cpp.py", line 115, in <module>
    model_aidge.set_backend(aidge_export_cpp.ExportLibCpp._name)
RuntimeError: missing or invalid registrar key: "export_cpp" for registrable object N5Aidge8Round_OpE
Did you include/import the corresponding module?
If so, it is possible that the object is not yet supported.

Available registrar keys are:
    cpu
Error: export_model/data directory does not exist.

error.log

sed: can't read export_model/Makefile: No such file or directory
sed: can't read export_model/Makefile: No such file or directory
sed: can't read export_model/Makefile: No such file or directory
sed: can't read export_model/Makefile: No such file or directory
./AI_Project/03_build.sh: line 17: cd: export_model: No such file or directory
make: AI_Build AI_Deploy AI_Manager AI_Project AI_Support ConvNet.onnx MLP_MNIST.onnx MobileNet-v2.onnx README.md __pycache__ config.json docker examples exit_functions.sh mnist.onnx mnist_test_input_type2.bin model_1D_classifier.onnx model_type2.onnx print_raw_output.py resnet50v112int8.onnx type1_test.sh type2_test.sh type3_test.sh No targets specified and no makefile found. Stop.

Report Details

report.json

null

124068 - rpi5 aidge 124070 - rpi5 aidge