124066 - rpi5 aidge – dAIEdge-VLab Status

dAIEdge-VLab Weekly Tests

rpi5

0000019c71638acf37948e8933e2246c7ee24eb06307d06986d991b6e014d767

aidge

124066 - rpi5 aidge

✅

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

Model Details

model name : mobilenetv2-12-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[3mConv_0_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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 : [2, 2]
[[33mWARNING[0m] - Trying to load node named [[1m[3mConv_2_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_2_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 32
[[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[3mConv_4_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mConv_5_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_7_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_7_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 96
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[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[3mConv_9_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mConv_10_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_12_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_12_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 144
[[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[3mConv_14_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mAdd_15_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[3mConv_16_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_18_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_18_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 144
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[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[3mConv_20_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mConv_21_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_23_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_23_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 192
[[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[3mConv_25_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mAdd_26_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[3mConv_27_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_29_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_29_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 192
[[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[3mConv_31_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mAdd_32_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[3mConv_33_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_35_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_35_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 192
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[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[3mConv_37_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mConv_38_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_40_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_40_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 384
[[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[3mConv_42_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mAdd_43_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[3mConv_44_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_46_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_46_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 384
[[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[3mConv_48_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mAdd_49_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[3mConv_50_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_52_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_52_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 384
[[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[3mConv_54_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mAdd_55_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[3mConv_56_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_58_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_58_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 384
[[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[3mConv_60_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mConv_61_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_63_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_63_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 576
[[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[3mConv_65_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mAdd_66_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[3mConv_67_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_69_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_69_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 576
[[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[3mConv_71_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mAdd_72_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[3mConv_73_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_75_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_75_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 576
[[94mNOTICE[0m]   	* kernel_shape : [3, 3]
[[94mNOTICE[0m]   	* pads : [1, 1, 1, 1]
[[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[3mConv_77_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mConv_78_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_80_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_80_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 960
[[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[3mConv_82_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mAdd_83_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[3mConv_84_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_86_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_86_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 960
[[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[3mConv_88_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mAdd_89_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[3mConv_90_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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] - Trying to load node named [[1m[3mConv_92_quant[0m] of type [[1m[3mQLinearConv[0m].
[[33mWARNING[0m]   Loading node using a [[1m[3mGenericOperator[0m].
[[33mWARNING[0m]   Please report this issue at https://gitlab.eclipse.org/eclipse/aidge/aidge_onnx by
[[33mWARNING[0m]   providing your ONNX model and the following error:
[[33mWARNING[0m]   "ONNX_NODE_CONVERTER_ returned: list index out of range"
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_92_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* dilations : [1, 1]
[[94mNOTICE[0m]   	* group : 960
[[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[3mConv_94_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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 nodeMODEL : mobilenetv212int8.onnx

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

input ['batch_size', 3, 224, 224]

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

  Node(name='data_507_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_625_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_82_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_509_quantized', optype='Producer', children: [[1]])
  Node(name='data_508_quantized', optype='Producer', children: [[1]])
  Node(name='data_619_zero_point', optype='Producer', children: [[1]])
  Node(name='layer_data_627_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
  Node(name='data_508_zero_point', optype='Producer', children: [[1]])
  Node(name='data_508_scale', optype='Producer', children: [[1]])
  Node(name='data_504_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_78_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_504_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_506_quantized', optype='Producer', children: [[1]])
  Node(name='data_619_scale', optype='Producer', children: [[1]])
  Node(name='data_505_zero_point', optype='Producer', children: [[1]])
  Node(name='data_505_scale', optype='Producer', children: [[1]])
  Node(name='data_505_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_77_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_501_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_501_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_503_quantized', optype='Producer', children: [[1]])
  Node(name='data_619_quantized', optype='Producer', children: [[1]])
  Node(name='data_502_zero_point', optype='Producer', children: [[1]])
  Node(name='data_502_scale', optype='Producer', children: [[1]])
  Node(name='data_499_quantized', optype='Producer', children: [[1]])
  Node(name='Reshape_103', optype='Reshape', parents: [1, 1], children: [[1]])
  Node(name='data_499_zero_point', optype='Producer', children: [[1]])
  Node(name='data_499_scale', optype='Producer', children: [[1]])
  Node(name='data_452_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_29_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_495_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_495_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_497_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_73_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_496_zero_point', optype='Producer', children: [[1]])
  Node(name='data_480_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_452_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_23_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_480_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_482_quantized', optype='Producer', children: [[1]])
  Node(name='data_487_quantized', optype='Producer', children: [[1]])
  Node(name='data_483_scale', optype='Producer', children: [[1, 1]])
  Node(name='GlobalAveragePool_97_quant', optype='QLinearGlobalAveragePool', parents: [1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_483_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_615_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_481_scale', optype='Producer', children: [[1]])
  Node(name='data_618_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_481_quantized', optype='Producer', children: [[1]])
  Node(name='data_589_quantized', optype='Producer', children: [[1]])
  Node(name='data_484_zero_point', optype='Producer', children: [[1]])
  Node(name='data_502_quantized', optype='Producer', children: [[1]])
  Node(name='data_475_scale', optype='Producer', children: [[1]])
  Node(name='Conv_71_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_339_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_339_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_615_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_498_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_498_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_500_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_67_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_489_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_490_scale', optype='Producer', children: [[1]])
  Node(name='data_617_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_94_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_486_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_486_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_478_zero_point', optype='Producer', children: [[1]])
  Node(name='classifier_1_bias_zero_point', optype='Producer', children: [[1]])
  Node(name='Add_83_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_484_quantized', optype='Producer', children: [[1]])
  Node(name='data_485_quantized', optype='Producer', children: [[1]])
  Node(name='data_484_scale', optype='Producer', children: [[1]])
  Node(name='data_616_zero_point', optype='Producer', children: [[1]])
  Node(name='data_496_quantized', optype='Producer', children: [[1]])
  Node(name='data_496_scale', optype='Producer', children: [[1]])
  Node(name='data_492_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_86_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_492_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_514_zero_point', optype='Producer', children: [[1]])
  Node(name='data_616_scale', optype='Producer', children: [[1]])
  Node(name='data_474_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_478_scale', optype='Producer', children: [[1]])
  Node(name='data_479_quantized', optype='Producer', children: [[1]])
  Node(name='data_481_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_92_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_477_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_491_quantized', optype='Producer', children: [[1]])
  Node(name='data_616_quantized', optype='Producer', children: [[1]])
  Node(name='data_490_zero_point', optype='Producer', children: [[1]])
  Node(name='data_490_quantized', optype='Producer', children: [[1]])
  Node(name='data_622_zero_point', optype='Producer', children: [[1]])
  Node(name='data_488_quantized', optype='Producer', children: [[1]])
  Node(name='data_487_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_65_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_487_scale', optype='Producer', children: [[1]])
  Node(name='data_612_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_494_quantized', optype='Producer', children: [[1]])
  Node(name='data_493_zero_point', optype='Producer', children: [[1]])
  Node(name='data_595_quantized', optype='Producer', children: [[1]])
  Node(name='data_622_quantized', optype='Producer', children: [[1]])
  Node(name='data_493_quantized', optype='Producer', children: [[1]])
  Node(name='data_493_scale', optype='Producer', children: [[1]])
  Node(name='data_621_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_61_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_489_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_474_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_614_quantized', optype='Producer', children: [[1]])
  Node(name='Gather_100', optype='Gather', parents: [1, 1], children: [[1]])
  Node(name='data_478_quantized', optype='Producer', children: [[1]])
  Node(name='data_511_quantized', optype='Producer', children: [[1]])
  Node(name='data_624_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_476_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_60_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='input_scale', optype='Producer', children: [[1]])
  Node(name='data_475_quantized', optype='Producer', children: [[1]])
  Node(name='data_612_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='output_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[]])
  Node(name='input_zero_point', optype='Producer', children: [[1]])
  Node(name='data_625_quantized', optype='Producer', children: [[1]])
  Node(name='data_466', optype='Producer', children: [[1]])
  Node(name='data_630', optype='Producer', children: [[1]])
  Node(name='Conv_75_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_426_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_613_quantized', optype='Producer', children: [[1]])
  Node(name='data_550_quantized', optype='Producer', children: [[1]])
  Node(name='data_465', optype='Shape', parents: [1], children: [[1]])
  Node(name='data_583_zero_point', optype='Producer', children: [[1]])
  Node(name='data_550_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_80_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_426_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_550_scale', optype='Producer', children: [[1]])
  Node(name='data_613_zero_point', optype='Producer', children: [[1]])
  Node(name='data_588_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_546_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_588_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_54_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_546_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_590_quantized', optype='Producer', children: [[1]])
  Node(name='data_548_quantized', optype='Producer', children: [[1]])
  Node(name='data_613_scale', optype='Producer', children: [[1]])
  Node(name='data_589_zero_point', optype='Producer', children: [[1]])
  Node(name='data_623_quantized', optype='Producer', children: [[1]])
  Node(name='Gemm_104_Add_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_547_zero_point', optype='Producer', children: [[1]])
  Node(name='data_594_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_585_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_50_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_544_quantized', optype='Producer', children: [[1]])
  Node(name='data_469', optype='Unsqueeze', parents: [1, 0], children: [[1]])
  Node(name='data_585_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_609_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_547_scale', optype='Producer', children: [[1]])
  Node(name='data_586_quantized', optype='Producer', children: [[1]])
  Node(name='data_547_quantized', optype='Producer', children: [[1]])
  Node(name='Add_72_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_586_scale', optype='Producer', children: [[1]])
  Node(name='data_382_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_611_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_95_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_587_quantized', optype='Producer', children: [[1]])
  Node(name='data_382_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_589_scale', optype='Producer', children: [[1]])
  Node(name='data_586_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_56_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_543_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_582_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_609_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_543_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_622_scale', optype='Producer', children: [[1]])
  Node(name='data_584_quantized', optype='Producer', children: [[1]])
  Node(name='data_545_quantized', optype='Producer', children: [[1]])
  Node(name='Add_89_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_582_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_544_zero_point', optype='Producer', children: [[1]])
  Node(name='data_583_scale', optype='Producer', children: [[1]])
  Node(name='data_610_zero_point', optype='Producer', children: [[1]])
  Node(name='data_544_scale', optype='Producer', children: [[1]])
  Node(name='data_583_quantized', optype='Producer', children: [[1]])
  Node(name='data_540_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_48_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_417_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_542_quantized', optype='Producer', children: [[1]])
  Node(name='data_610_scale', optype='Producer', children: [[1]])
  Node(name='Gemm_104_MatMul_quant', optype='QLinearMatMul', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_417_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_628_quantized', optype='Producer', children: [[1]])
  Node(name='data_540_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_579_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_44_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_541_quantized', optype='Producer', children: [[1]])
  Node(name='data_579_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_538_quantized', optype='Producer', children: [[1]])
  Node(name='data_610_quantized', optype='Producer', children: [[1]])
  Node(name='data_581_quantized', optype='Producer', children: [[1]])
  Node(name='data_591_scale', optype='Producer', children: [[1, 1]])
  Node(name='classifier_1_bias_quantized', optype='Producer', children: [[1]])
  Node(name='data_541_zero_point', optype='Producer', children: [[1]])
  Node(name='data_580_zero_point', optype='Producer', children: [[1]])
  Node(name='input_QuantizeLinear', optype='Quantizer', parents: [0], children: [[1]])
  Node(name='Add_66_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_541_scale', optype='Producer', children: [[1]])
  Node(name='data_580_scale', optype='Producer', children: [[1]])
  Node(name='data_443_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_537_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_624_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_596_quantized', optype='Producer', children: [[1]])
  Node(name='data_580_quantized', optype='Producer', children: [[1]])
  Node(name='data_537_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_42_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_576_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_539_quantized', optype='Producer', children: [[1]])
  Node(name='data_443_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_576_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_538_zero_point', optype='Producer', children: [[1]])
  Node(name='data_577_scale', optype='Producer', children: [[1]])
  Node(name='Conv_52_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_538_scale', optype='Producer', children: [[1]])
  Node(name='data_577_quantized', optype='Producer', children: [[1]])
  Node(name='data_606_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_534_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_578_quantized', optype='Producer', children: [[1]])
  Node(name='data_535_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_38_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_577_zero_point', optype='Producer', children: [[1]])
  Node(name='data_534_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='Conv_88_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_571_quantized', optype='Producer', children: [[1]])
  Node(name='data_606_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_536_quantized', optype='Producer', children: [[1]])
  Node(name='data_573_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_591_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_628_scale', optype='Producer', children: [[1]])
  Node(name='data_535_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_37_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_575_quantized', optype='Producer', children: [[1]])
  Node(name='data_535_scale', optype='Producer', children: [[1]])
  Node(name='data_608_quantized', optype='Producer', children: [[1]])
  Node(name='data_573_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_531_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_574_zero_point', optype='Producer', children: [[1]])
  Node(name='Add_55_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_531_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_574_scale', optype='Producer', children: [[1]])
  Node(name='data_533_quantized', optype='Producer', children: [[1]])
  Node(name='data_607_zero_point', optype='Producer', children: [[1]])
  Node(name='data_574_quantized', optype='Producer', children: [[1]])
  Node(name='data_532_zero_point', optype='Producer', children: [[1]])
  Node(name='data_570_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='Conv_33_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_532_scale', optype='Producer', children: [[1]])
  Node(name='data_570_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_607_scale', optype='Producer', children: [[1]])
  Node(name='data_532_quantized', optype='Producer', children: [[1]])
  Node(name='data_572_quantized', optype='Producer', children: [[1]])
  Node(name='data_528_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_58_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_571_zero_point', optype='Producer', children: [[1]])
  Node(name='data_530_quantized', optype='Producer', children: [[1]])
  Node(name='data_607_quantized', optype='Producer', children: [[1]])
  Node(name='data_571_scale', optype='Producer', children: [[1]])
  Node(name='data_529_quantized', optype='Producer', children: [[1]])
  Node(name='data_567_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_63_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_529_scale', optype='Producer', children: [[1]])
  Node(name='data_569_quantized', optype='Producer', children: [[1]])
  Node(name='data_603_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_528_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_567_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_593_quantized', optype='Producer', children: [[1]])
  Node(name='data_529_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_31_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_568_zero_point', optype='Producer', children: [[1]])
  Node(name='data_625_scale', optype='Producer', children: [[1]])
  Node(name='data_365_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_568_quantized', optype='Producer', children: [[1]])
  Node(name='data_605_quantized', optype='Producer', children: [[1]])
  Node(name='data_365_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_568_scale', optype='Producer', children: [[1]])
  Node(name='data_628_zero_point', optype='Producer', children: [[1]])
  Node(name='data_525_scale', optype='Producer', children: [[1, 1]])
  Node(name='Add_49_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_564_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_525_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_595_scale', optype='Producer', children: [[1]])
  Node(name='data_604_zero_point', optype='Producer', children: [[1]])
  Node(name='data_566_quantized', optype='Producer', children: [[1]])
  Node(name='data_620_quantized', optype='Producer', children: [[1]])
  Node(name='data_527_quantized', optype='Producer', children: [[1]])
  Node(name='data_464_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_564_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_27_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_526_quantized', optype='Producer', children: [[1]])
  Node(name='data_565_zero_point', optype='Producer', children: [[1]])
  Node(name='data_526_zero_point', optype='Producer', children: [[1]])
  Node(name='data_604_scale', optype='Producer', children: [[1]])
  Node(name='data_565_scale', optype='Producer', children: [[1]])
  Node(name='data_594_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_526_scale', optype='Producer', children: [[1]])
  Node(name='data_562_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_25_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_522_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_565_quantized', optype='Producer', children: [[1]])
  Node(name='data_604_quantized', optype='Producer', children: [[1]])
  Node(name='data_522_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_400_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_524_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_35_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_400_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_626_quantized', optype='Producer', children: [[1]])
  Node(name='data_523_zero_point', optype='Producer', children: [[1]])
  Node(name='data_561_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_603_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_523_scale', optype='Producer', children: [[1]])
  Node(name='data_561_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_523_quantized', optype='Producer', children: [[1]])
  Node(name='Add_43_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_563_quantized', optype='Producer', children: [[1]])
  Node(name='data_519_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_600_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_84_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_562_zero_point', optype='Producer', children: [[1]])
  Node(name='data_519_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_562_scale', optype='Producer', children: [[1]])
  Node(name='Conv_20_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_521_quantized', optype='Producer', children: [[1]])
  Node(name='data_558_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_602_quantized', optype='Producer', children: [[1]])
  Node(name='data_520_quantized', optype='Producer', children: [[1]])
  Node(name='data_560_quantized', optype='Producer', children: [[1]])
  Node(name='data_520_zero_point', optype='Producer', children: [[1]])
  Node(name='data_477_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_16_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_558_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_520_scale', optype='Producer', children: [[1]])
  Node(name='data_600_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_559_quantized', optype='Producer', children: [[1]])
  Node(name='data_621_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_356_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_556_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_14_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_356_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_559_zero_point', optype='Producer', children: [[1]])
  Node(name='data_516_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_601_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_21_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_559_scale', optype='Producer', children: [[1]])
  Node(name='data_629_quantized', optype='Producer', children: [[1]])
  Node(name='data_516_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_555_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_10_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_518_quantized', optype='Producer', children: [[1]])
  Node(name='data_557_quantized', optype='Producer', children: [[1]])
  Node(name='data_601_scale', optype='Producer', children: [[1]])
  Node(name='data_517_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_12_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_555_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_517_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_0_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='Conv_40_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_556_zero_point', optype='Producer', children: [[1]])
  Node(name='data_464_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_90_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_517_scale', optype='Producer', children: [[1]])
  Node(name='Add_15_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_556_scale', optype='Producer', children: [[1]])
  Node(name='data_601_quantized', optype='Producer', children: [[1]])
  Node(name='Add_26_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_513_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_553_quantized', optype='Producer', children: [[1]])
  Node(name='data_513_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_9_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_391_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_515_quantized', optype='Producer', children: [[1]])
  Node(name='data_597_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_391_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_627_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_554_quantized', optype='Producer', children: [[1]])
  Node(name='data_552_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_46_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_514_quantized', optype='Producer', children: [[1]])
  Node(name='data_552_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_597_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_514_scale', optype='Producer', children: [[1]])
  Node(name='output_scale', optype='Producer', children: [[1]])
  Node(name='data_510_scale', optype='Producer', children: [[1, 1]])
  Node(name='Add_32_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='output_zero_point', optype='Producer', children: [[1]])
  Node(name='data_510_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_599_quantized', optype='Producer', children: [[1]])
  Node(name='output_MatMul_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_618_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_512_quantized', optype='Producer', children: [[1]])
  Node(name='data_553_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_7_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='Conv_18_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_553_scale', optype='Producer', children: [[1]])
  Node(name='Conv_5_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_598_zero_point', optype='Producer', children: [[1]])
  Node(name='data_549_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_511_zero_point', optype='Producer', children: [[1]])
  Node(name='data_627_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_551_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_4_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_511_scale', optype='Producer', children: [[1]])
  Node(name='data_598_scale', optype='Producer', children: [[1]])
  Node(name='data_549_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_507_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='Concat_102', optype='Concat', parents: [1, 1], children: [[1]])
  Node(name='data_475_zero_point', optype='Producer', children: [[1]])
  Node(name='classifier_1_bias_scale', optype='Producer', children: [[1]])
  Node(name='data_592_zero_point', optype='Producer', children: [[1]])
  Node(name='classifier_1_weight_quantized', optype='Producer', children: [[1]])
  Node(name='data_592_quantized', optype='Producer', children: [[1]])
  Node(name='data_592_scale', optype='Producer', children: [[1]])
  Node(name='data_598_quantized', optype='Producer', children: [[1]])
  Node(name='classifier_1_weight_scale', optype='Producer', children: [[1]])
  Node(name='Conv_69_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_595_zero_point', optype='Producer', children: [[1]])
  Node(name='output_MatMul_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_2_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='classifier_1_weight_zero_point', optype='Producer', children: [[1]])

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

Native operators: 356 (8 types)
- Concat: 1
- Dequantizer: 2
- Gather: 1
- Producer: 348
- Quantizer: 1
- Reshape: 1
- Shape: 1
- Unsqueeze: 1
Generic operators: 65 (4 types)
- QLinearAdd: 11
- QLinearConv: 52
- QLinearGlobalAveragePool: 1
- QLinearMatMul: 1
Native types coverage: 66.7% (8/12)
Native operators coverage: 84.6% (356/421)
  (defaultdict(<class 'int'>, {'Producer': 348, 'Dequantizer': 2, 'Unsqueeze': 1, 'Concat': 1, 'Gather': 1, 'Quantizer': 1, 'Shape': 1, 'Reshape': 1}), defaultdict(<class 'int'>, {'QLinearAdd': 11, 'QLinearConv': 52, 'QLinearMatMul': 1, 'QLinearGlobalAveragePool': 1}))

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

Remove flatten
Fuse batchnorm
Expand metaop
Fuse to metaop

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

  Node(name='data_523_scale', optype='Producer', children: [[1]])
  Node(name='input_QuantizeLinear_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='Add_32_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='input_QuantizeLinear_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='output_DequantizeLinear_MulDeQuant', optype='Mul', parents: [1, 1], children: [[]])
  Node(name='data_523_quantized', optype='Producer', children: [[1]])
  Node(name='input_QuantizeLinear_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='input_QuantizeLinear_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='input_QuantizeLinear_AddQuant', optype='Add', parents: [1, 1], children: [[1]])
  Node(name='Gemm_104_Add_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='ScalingFactor', optype='Producer', children: [[1]])
  Node(name='data_519_scale', optype='Producer', children: [[1, 1]])
  Node(name='input_QuantizeLinear_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='classifier_1_bias_zero_point', optype='Producer', children: [[1]])
  Node(name='classifier_1_bias_quantized', optype='Producer', children: [[1]])
  Node(name='classifier_1_bias_scale', optype='Producer', children: [[1]])
  Node(name='Gemm_104_MatMul_quant', optype='QLinearMatMul', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='output_MatMul_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_21_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='classifier_1_weight_scale', optype='Producer', children: [[1]])
  Node(name='data_519_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='classifier_1_weight_quantized', optype='Producer', children: [[1]])
  Node(name='data_464_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_464_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_627_scale', optype='Producer', children: [[1, 1]])
  Node(name='output_DequantizeLinear_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='data_627_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_490_scale', optype='Producer', children: [[1]])
  Node(name='data_521_quantized', optype='Producer', children: [[1]])
  Node(name='data_629_quantized', optype='Producer', children: [[1]])
  Node(name='data_628_zero_point', optype='Producer', children: [[1]])
  Node(name='data_628_scale', optype='Producer', children: [[1]])
  Node(name='data_628_quantized', optype='Producer', children: [[1]])
  Node(name='data_469', optype='Unsqueeze', parents: [1, 0], children: [[1]])
  Node(name='data_624_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_478_zero_point', optype='Producer', children: [[1]])
  Node(name='data_520_quantized', optype='Producer', children: [[1]])
  Node(name='data_624_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_626_quantized', optype='Producer', children: [[1]])
  Node(name='data_625_scale', optype='Producer', children: [[1]])
  Node(name='data_625_zero_point', optype='Producer', children: [[1]])
  Node(name='data_625_quantized', optype='Producer', children: [[1]])
  Node(name='Gather_100', optype='Gather', parents: [1, 1], children: [[1]])
  Node(name='data_520_zero_point', optype='Producer', children: [[1]])
  Node(name='data_623_quantized', optype='Producer', children: [[1]])
  Node(name='data_520_scale', optype='Producer', children: [[1]])
  Node(name='data_622_zero_point', optype='Producer', children: [[1]])
  Node(name='data_484_quantized', optype='Producer', children: [[1]])
  Node(name='data_622_scale', optype='Producer', children: [[1]])
  Node(name='data_622_quantized', optype='Producer', children: [[1]])
  Node(name='data_485_quantized', optype='Producer', children: [[1]])
  Node(name='data_621_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_95_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_621_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='ScalingFactor', optype='Producer', children: [[1]])
  Node(name='data_356_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_618_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_620_quantized', optype='Producer', children: [[1]])
  Node(name='data_618_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_619_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_94_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_619_scale', optype='Producer', children: [[1]])
  Node(name='data_356_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_619_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_90_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_452_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_452_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_496_scale', optype='Producer', children: [[1]])
  Node(name='data_615_scale', optype='Producer', children: [[1, 1]])
  Node(name='layer_data_627_DequantizeLinear_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='data_615_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_617_quantized', optype='Producer', children: [[1]])
  Node(name='data_516_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_616_zero_point', optype='Producer', children: [[1]])
  Node(name='data_616_scale', optype='Producer', children: [[1]])
  Node(name='data_616_quantized', optype='Producer', children: [[1]])
  Node(name='data_612_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_465', optype='Shape', parents: [1], children: [[1]])
  Node(name='data_614_quantized', optype='Producer', children: [[1]])
  Node(name='data_516_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_612_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_613_quantized', optype='Producer', children: [[1]])
  Node(name='data_484_scale', optype='Producer', children: [[1]])
  Node(name='data_613_zero_point', optype='Producer', children: [[1]])
  Node(name='data_613_scale', optype='Producer', children: [[1]])
  Node(name='Conv_88_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_609_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_518_quantized', optype='Producer', children: [[1]])
  Node(name='data_611_quantized', optype='Producer', children: [[1]])
  Node(name='data_609_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_517_quantized', optype='Producer', children: [[1]])
  Node(name='data_610_zero_point', optype='Producer', children: [[1]])
  Node(name='output_DequantizeLinear_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='data_610_scale', optype='Producer', children: [[1]])
  Node(name='data_610_quantized', optype='Producer', children: [[1]])
  Node(name='layer_data_627_DequantizeLinear_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='data_517_zero_point', optype='Producer', children: [[1]])
  Node(name='data_443_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_443_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_492_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_517_scale', optype='Producer', children: [[1]])
  Node(name='data_606_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_606_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_513_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_608_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_84_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_607_zero_point', optype='Producer', children: [[1]])
  Node(name='data_513_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_607_scale', optype='Producer', children: [[1]])
  Node(name='layer_data_627_DequantizeLinear_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='data_607_quantized', optype='Producer', children: [[1]])
  Node(name='data_515_quantized', optype='Producer', children: [[1]])
  Node(name='data_603_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_605_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_82_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_604_zero_point', optype='Producer', children: [[1]])
  Node(name='data_554_quantized', optype='Producer', children: [[1]])
  Node(name='data_604_scale', optype='Producer', children: [[1]])
  Node(name='Conv_78_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_514_quantized', optype='Producer', children: [[1]])
  Node(name='data_604_quantized', optype='Producer', children: [[1]])
  Node(name='data_603_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_600_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_77_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_514_scale', optype='Producer', children: [[1]])
  Node(name='data_602_quantized', optype='Producer', children: [[1]])
  Node(name='data_600_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Reshape_103', optype='Reshape', parents: [1, 1], children: [[1]])
  Node(name='data_601_zero_point', optype='Producer', children: [[1]])
  Node(name='data_601_scale', optype='Producer', children: [[1]])
  Node(name='Conv_73_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_601_quantized', optype='Producer', children: [[1]])
  Node(name='data_510_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_597_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_492_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_597_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_599_quantized', optype='Producer', children: [[1]])
  Node(name='data_598_zero_point', optype='Producer', children: [[1]])
  Node(name='ScalingFactor_1', optype='Producer', children: [[1]])
  Node(name='data_598_scale', optype='Producer', children: [[1]])
  Node(name='data_477_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_510_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_479_quantized', optype='Producer', children: [[1]])
  Node(name='data_512_quantized', optype='Producer', children: [[1]])
  Node(name='data_475_scale', optype='Producer', children: [[1]])
  Node(name='GlobalAveragePool_97_quant', optype='QLinearGlobalAveragePool', parents: [1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_514_zero_point', optype='Producer', children: [[1]])
  Node(name='Concat_102', optype='Concat', parents: [1, 1], children: [[1]])
  Node(name='data_475_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_71_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_589_scale', optype='Producer', children: [[1]])
  Node(name='Conv_67_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='Conv_18_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_589_quantized', optype='Producer', children: [[1]])
  Node(name='data_598_quantized', optype='Producer', children: [[1]])
  Node(name='data_594_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_594_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Add_83_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_595_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_5_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_595_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_86_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_595_scale', optype='Producer', children: [[1]])
  Node(name='data_474_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_596_quantized', optype='Producer', children: [[1]])
  Node(name='data_591_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_92_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_593_quantized', optype='Producer', children: [[1]])
  Node(name='data_511_zero_point', optype='Producer', children: [[1]])
  Node(name='data_591_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_511_scale', optype='Producer', children: [[1]])
  Node(name='data_592_zero_point', optype='Producer', children: [[1]])
  Node(name='data_592_scale', optype='Producer', children: [[1]])
  Node(name='data_592_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_65_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_426_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_583_zero_point', optype='Producer', children: [[1]])
  Node(name='data_507_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_426_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_588_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_588_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_590_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_61_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_589_zero_point', optype='Producer', children: [[1]])
  Node(name='data_507_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_585_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_60_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_509_quantized', optype='Producer', children: [[1]])
  Node(name='data_585_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_586_quantized', optype='Producer', children: [[1]])
  Node(name='data_586_scale', optype='Producer', children: [[1]])
  Node(name='Conv_75_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_587_quantized', optype='Producer', children: [[1]])
  Node(name='data_586_zero_point', optype='Producer', children: [[1]])
  Node(name='Add_26_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_508_quantized', optype='Producer', children: [[1]])
  Node(name='data_582_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_477_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_478_scale', optype='Producer', children: [[1]])
  Node(name='data_584_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_9_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_582_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_486_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_583_scale', optype='Producer', children: [[1]])
  Node(name='Conv_80_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_583_quantized', optype='Producer', children: [[1]])
  Node(name='data_417_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_508_zero_point', optype='Producer', children: [[1]])
  Node(name='data_417_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_508_scale', optype='Producer', children: [[1]])
  Node(name='data_579_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_481_zero_point', optype='Producer', children: [[1]])
  Node(name='data_579_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_54_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_581_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_4_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_504_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_580_zero_point', optype='Producer', children: [[1]])
  Node(name='data_580_scale', optype='Producer', children: [[1]])
  Node(name='data_580_quantized', optype='Producer', children: [[1]])
  Node(name='data_576_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_50_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_576_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_504_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_577_scale', optype='Producer', children: [[1]])
  Node(name='data_577_quantized', optype='Producer', children: [[1]])
  Node(name='data_578_quantized', optype='Producer', children: [[1]])
  Node(name='data_577_zero_point', optype='Producer', children: [[1]])
  Node(name='Add_72_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_571_quantized', optype='Producer', children: [[1]])
  Node(name='data_573_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_56_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_506_quantized', optype='Producer', children: [[1]])
  Node(name='data_575_quantized', optype='Producer', children: [[1]])
  Node(name='data_573_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_491_quantized', optype='Producer', children: [[1]])
  Node(name='data_505_zero_point', optype='Producer', children: [[1]])
  Node(name='data_574_zero_point', optype='Producer', children: [[1]])
  Node(name='data_486_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_574_scale', optype='Producer', children: [[1]])
  Node(name='Add_89_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_574_quantized', optype='Producer', children: [[1]])
  Node(name='data_505_scale', optype='Producer', children: [[1]])
  Node(name='data_570_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_570_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_572_quantized', optype='Producer', children: [[1]])
  Node(name='data_571_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_48_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_571_scale', optype='Producer', children: [[1]])
  Node(name='data_567_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_505_quantized', optype='Producer', children: [[1]])
  Node(name='data_569_quantized', optype='Producer', children: [[1]])
  Node(name='data_567_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_568_zero_point', optype='Producer', children: [[1]])
  Node(name='data_568_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_44_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_568_scale', optype='Producer', children: [[1]])
  Node(name='data_501_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_564_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_566_quantized', optype='Producer', children: [[1]])
  Node(name='data_564_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_565_zero_point', optype='Producer', children: [[1]])
  Node(name='Add_66_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_565_scale', optype='Producer', children: [[1]])
  Node(name='data_501_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_562_quantized', optype='Producer', children: [[1]])
  Node(name='data_565_quantized', optype='Producer', children: [[1]])
  Node(name='data_400_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_400_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_42_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_561_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_503_quantized', optype='Producer', children: [[1]])
  Node(name='data_561_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_563_quantized', optype='Producer', children: [[1]])
  Node(name='data_490_zero_point', optype='Producer', children: [[1]])
  Node(name='data_562_zero_point', optype='Producer', children: [[1]])
  Node(name='data_562_scale', optype='Producer', children: [[1]])
  Node(name='Conv_52_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_502_zero_point', optype='Producer', children: [[1]])
  Node(name='data_558_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_560_quantized', optype='Producer', children: [[1]])
  Node(name='data_502_scale', optype='Producer', children: [[1]])
  Node(name='data_558_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_559_quantized', optype='Producer', children: [[1]])
  Node(name='data_499_quantized', optype='Producer', children: [[1]])
  Node(name='data_556_quantized', optype='Producer', children: [[1]])
  Node(name='data_559_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_38_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_559_scale', optype='Producer', children: [[1]])
  Node(name='data_499_zero_point', optype='Producer', children: [[1]])
  Node(name='data_490_quantized', optype='Producer', children: [[1]])
  Node(name='data_555_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_499_scale', optype='Producer', children: [[1]])
  Node(name='data_557_quantized', optype='Producer', children: [[1]])
  Node(name='data_488_quantized', optype='Producer', children: [[1]])
  Node(name='data_555_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_556_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_37_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_556_scale', optype='Producer', children: [[1]])
  Node(name='data_553_quantized', optype='Producer', children: [[1]])
  Node(name='data_495_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_391_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_487_zero_point', optype='Producer', children: [[1]])
  Node(name='data_391_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_552_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_552_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Add_55_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='output_scale', optype='Producer', children: [[1]])
  Node(name='data_495_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='output_zero_point', optype='Producer', children: [[1]])
  Node(name='output_MatMul_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_553_zero_point', optype='Producer', children: [[1]])
  Node(name='data_553_scale', optype='Producer', children: [[1]])
  Node(name='Conv_33_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_497_quantized', optype='Producer', children: [[1]])
  Node(name='data_549_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_551_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_40_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_496_zero_point', optype='Producer', children: [[1]])
  Node(name='data_549_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_550_quantized', optype='Producer', children: [[1]])
  Node(name='data_550_zero_point', optype='Producer', children: [[1]])
  Node(name='data_550_scale', optype='Producer', children: [[1]])
  Node(name='Conv_58_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_546_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_7_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_480_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_546_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_63_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_548_quantized', optype='Producer', children: [[1]])
  Node(name='data_547_zero_point', optype='Producer', children: [[1]])
  Node(name='data_544_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_31_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_547_scale', optype='Producer', children: [[1]])
  Node(name='data_480_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_547_quantized', optype='Producer', children: [[1]])
  Node(name='data_382_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_382_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='data_496_quantized', optype='Producer', children: [[1]])
  Node(name='data_543_scale', optype='Producer', children: [[1, 1]])
  Node(name='Add_49_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_543_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='Conv_46_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_482_quantized', optype='Producer', children: [[1]])
  Node(name='data_545_quantized', optype='Producer', children: [[1]])
  Node(name='data_487_quantized', optype='Producer', children: [[1]])
  Node(name='data_544_zero_point', optype='Producer', children: [[1]])
  Node(name='data_544_scale', optype='Producer', children: [[1]])
  Node(name='data_540_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_27_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_542_quantized', optype='Producer', children: [[1]])
  Node(name='data_540_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_483_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_541_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_69_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_483_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_538_quantized', optype='Producer', children: [[1]])
  Node(name='data_541_zero_point', optype='Producer', children: [[1]])
  Node(name='data_541_scale', optype='Producer', children: [[1]])
  Node(name='ZeroPoint_1', optype='Producer', children: [[1]])
  Node(name='data_537_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_2_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_481_scale', optype='Producer', children: [[1]])
  Node(name='data_537_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_539_quantized', optype='Producer', children: [[1]])
  Node(name='Conv_23_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_538_zero_point', optype='Producer', children: [[1]])
  Node(name='data_538_scale', optype='Producer', children: [[1]])
  Node(name='Conv_29_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='Conv_25_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_487_scale', optype='Producer', children: [[1]])
  Node(name='data_534_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='Conv_35_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_535_quantized', optype='Producer', children: [[1]])
  Node(name='input_QuantizeLinear_CastOut', optype='Cast', parents: [1], children: [[1]])
  Node(name='data_481_quantized', optype='Producer', children: [[1]])
  Node(name='data_534_zero_point', optype='Producer', children: [[1, 1, 1]])
  Node(name='input_QuantizeLinear_CastIn', optype='Cast', parents: [0], children: [[1]])
  Node(name='data_536_quantized', optype='Producer', children: [[1]])
  Node(name='data_535_zero_point', optype='Producer', children: [[1]])
  Node(name='data_535_scale', optype='Producer', children: [[1]])
  Node(name='Add_43_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_531_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_0_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_484_zero_point', optype='Producer', children: [[1]])
  Node(name='data_531_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_502_quantized', optype='Producer', children: [[1]])
  Node(name='data_533_quantized', optype='Producer', children: [[1]])
  Node(name='data_532_zero_point', optype='Producer', children: [[1]])
  Node(name='data_532_scale', optype='Producer', children: [[1]])
  Node(name='Conv_20_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
  Node(name='data_532_quantized', optype='Producer', children: [[1]])
  Node(name='data_339_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_528_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_530_quantized', optype='Producer', children: [[1]])
  Node(name='data_529_quantized', optype='Producer', children: [[1]])
  Node(name='data_529_scale', optype='Producer', children: [[1]])
  Node(name='Conv_16_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_528_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_339_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_529_zero_point', optype='Producer', children: [[1]])
  Node(name='Conv_12_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_498_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_365_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_365_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_525_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_14_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_525_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_527_quantized', optype='Producer', children: [[1]])
  Node(name='data_498_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_526_quantized', optype='Producer', children: [[1]])
  Node(name='data_526_zero_point', optype='Producer', children: [[1]])
  Node(name='data_500_quantized', optype='Producer', children: [[1]])
  Node(name='data_526_scale', optype='Producer', children: [[1]])
  Node(name='data_522_scale', optype='Producer', children: [[1, 1]])
  Node(name='Conv_10_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_522_zero_point', optype='Producer', children: [[1, 1]])
  Node(name='data_524_quantized', optype='Producer', children: [[1]])
  Node(name='data_489_zero_point', optype='Producer', children: [[1, 1, 1]])
   [[1m[3mConv_95_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[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[3mGlobalAveragePool_97_quant[0m] of type [[1m[3mQLinearGlobalAveragePool[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* channels_last : 0
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m]   QLinearMatMul[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m]   GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mGemm_104_MatMul_quant[0m] of type [[1m[3mQLinearMatMul[0m] as a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mGemm_104_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.
[[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 Conv_0_quant (of type QLinearConv)
[[31mERROR[0m] - Unable to forward data type for node Conv_0_quant (of type QLinearConv)
[[31mERROR[0m] - Unable to forward data type for node Conv_0_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 ["Conv_5_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_18_quant (QLinearConv)", "Concat_102 (Concat)", "Conv_29_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_23_quant (QLinearConv)", "Conv_69_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_2_quant (QLinearConv)", "Add_26_quant (QLinearAdd)", "Conv_21_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_0_quant (QLinearConv)", "Conv_12_quant (QLinearConv)",
[[33mWARNING[0m]   "Add_15_quant (QLinearAdd)", "Conv_4_quant (QLinearConv)", "Conv_7_quant (QLinearConv)",
[[33mWARNING[0m]   "Add_32_quant (QLinearAdd)", "Conv_46_quant (QLinearConv)", "Conv_9_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_40_quant (QLinearConv)", "Conv_10_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_14_quant (QLinearConv)", "Conv_16_quant (QLinearConv)", "Conv_20_quant
[[33mWARNING[0m]   (QLinearConv)", "Add_43_quant (QLinearAdd)", "Conv_35_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_25_quant (QLinearConv)", "Conv_27_quant (QLinearConv)", "Add_49_quant
[[33mWARNING[0m]   (QLinearAdd)", "Conv_31_quant (QLinearConv)", "Conv_63_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_58_quant (QLinearConv)", "Conv_33_quant (QLinearConv)", "Add_55_quant
[[33mWARNING[0m]   (QLinearAdd)", "Conv_37_quant (QLinearConv)", "Conv_38_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_52_quant (QLinearConv)", "Conv_42_quant (QLinearConv)", "Add_66_quant
[[33mWARNING[0m]   (QLinearAdd)", "Conv_44_quant (QLinearConv)", "Conv_48_quant (QLinearConv)",
[[33mWARNING[0m]   "Add_89_quant (QLinearAdd)", "Conv_56_quant (QLinearConv)", "Add_72_quant (QLinearAdd)",
[[33mWARNING[0m]   "Conv_50_quant (QLinearConv)", "Conv_54_quant (QLinearConv)", "Conv_80_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_75_quant (QLinearConv)", "Conv_60_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_61_quant (QLinearConv)", "Conv_65_quant (QLinearConv)", "Conv_92_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_86_quant (QLinearConv)", "Add_83_quant (QLinearAdd)",
[[33mWARNING[0m]   "Conv_67_quant (QLinearConv)", "Conv_71_quant (QLinearConv)",
[[33mWARNING[0m]   "GlobalAveragePool_97_quant (QLinearGlobalAveragePool)", "Conv_73_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_77_quant (QLinearConv)", "Conv_78_quant (QLinearConv)", "Conv_82_quant
[[33mWARNING[0m]   (QLinearConv)", "layer_data_627_DequantizeLinear_MulDeQuant (Mul)", "Conv_84_quant
[[33mWARNING[0m]   (QLinearConv)", "layer_data_627_DequantizeLinear_SubDeQuant (Sub)", "Conv_88_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_90_quant (QLinearConv)", "Conv_94_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_95_quant (QLinearConv)", "Gather_100 (Gather)", "data_469 (Unsqueeze)",
[[33mWARNING[0m]   "Gemm_104_MatMul_quant (QLinearMatMul)", "Gemm_104_Add_quant (QLinearAdd)",
[[33mWARNING[0m]   "output_DequantizeLinear_MulDeQuant (Mul)", "output_DequantizeLinear_SubDeQuant (Sub)"].
[[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 ["Conv_5_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_18_quant (QLinearConv)", "Concat_102 (Concat)", "Conv_29_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_23_quant (QLinearConv)", "Conv_69_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_2_quant (QLinearConv)", "Add_26_quant (QLinearAdd)", "Conv_21_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_0_quant (QLinearConv)", "Conv_12_quant (QLinearConv)",
[[33mWARNING[0m]   "Add_15_quant (QLinearAdd)", "Conv_4_quant (QLinearConv)", "Conv_7_quant (QLinearConv)",
[[33mWARNING[0m]   "Add_32_quant (QLinearAdd)", "Conv_46_quant (QLinearConv)", "Conv_9_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_40_quant (QLinearConv)", "Conv_10_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_14_quant (QLinearConv)", "Conv_16_quant (QLinearConv)", "Conv_20_quant
[[33mWARNING[0m]   (QLinearConv)", "Add_43_quant (QLinearAdd)", "Conv_35_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_25_quant (QLinearConv)", "Conv_27_quant (QLinearConv)", "Add_49_quant
[[33mWARNING[0m]   (QLinearAdd)", "Conv_31_quant (QLinearConv)", "Conv_63_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_58_quant (QLinearConv)", "Conv_33_quant (QLinearConv)", "Add_55_quant
[[33mWARNING[0m]   (QNode(name='Add_15_quant', optype='QLinearAdd', parents: [1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
  Node(name='data_523_zero_point', optype='Producer', children: [[1]])
  Node(name='data_494_quantized', optype='Producer', children: [[1]])
  Node(name='data_493_zero_point', optype='Producer', children: [[1]])
  Node(name='data_493_quantized', optype='Producer', children: [[1]])
  Node(name='data_511_quantized', optype='Producer', children: [[1]])
  Node(name='data_476_quantized', optype='Producer', children: [[1]])
  Node(name='input_scale', optype='Producer', children: [[1]])
  Node(name='data_466', optype='Producer', children: [[1]])
  Node(name='input_zero_point', optype='Producer', children: [[1]])
  Node(name='data_630', optype='Producer', children: [[1]])
  Node(name='data_475_quantized', optype='Producer', children: [[1]])
  Node(name='data_474_scale', optype='Producer', children: [[1, 1]])
  Node(name='data_478_quantized', optype='Producer', children: [[1]])
  Node(name='data_493_scale', optype='Producer', children: [[1]])
  Node(name='data_489_scale', optype='Producer', children: [[1, 1, 1]])
  Node(name='classifier_1_weight_zero_point', optype='Producer', children: [[1]])

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

Native operators: 373 (12 types)
- Add: 1
- Cast: 4
- Clip: 1
- Concat: 1
- Gather: 1
- Mul: 3
- Producer: 356
- Reshape: 1
- Round: 1
- Shape: 1
- Sub: 2
- Unsqueeze: 1
Generic operators: 65 (4 types)
- QLinearAdd: 11
- QLinearConv: 52
- QLinearGlobalAveragePool: 1
- QLinearMatMul: 1
Native types coverage: 75.0% (12/16)
Native operators coverage: 85.2% (373/438)
  (defaultdict(<class 'int'>, {'Producer': 356, 'Sub': 2, 'Mul': 3, 'Cast': 4, 'Round': 1, 'Clip': 1, 'Add': 1, 'Unsqueeze': 1, 'Gather': 1, 'Shape': 1, 'Reshape': 1, 'Concat': 1}), defaultdict(<class 'int'>, {'QLinearConv': 52, 'QLinearAdd': 11, 'QLinearMatMul': 1, 'QLinearGlobalAveragePool': 1}))

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

Native operators: 373 (12 types)
- Add: 1
- Cast: 4
- Clip: 1
- Concat: 1
- Gather: 1
- Mul: 3
- Producer: 356
- Reshape: 1
- Round: 1
- Shape: 1
- Sub: 2
- Unsqueeze: 1
Generic operators: 65 (4 types)
- QLinearAdd: 11
- QLinearConv: 52
- QLinearGlobalAveragePool: 1
- QLinearMatMul: 1
Native types coverage: 75.0% (12/16)
Native operators coverage: 85.2% (373/438)
  (defaultdict(<class 'int'>, {'Producer': 356, 'Mul': 3, 'Sub': 2, 'Cast': 4, 'Unsqueeze': 1, 'Gather': 1, 'Shape': 1, 'Reshape': 1, 'Concat': 1, 'Round': 1, 'Clip': 1, 'Add': 1}), defaultdict(<class 'int'>, {'QLinearAdd': 11, 'QLinearMatMul': 1, 'QLinearConv': 52, 'QLinearGlobalAveragePool': 1}))

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

OK

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

OK

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

data_630 (Producer)
data_466 (Producer)
input_zero_point (Producer)
data_475_quantized (Producer)
input_scale (Producer)
data_476_quantized (Producer)
data_511_quantized (Producer)
data_478_quantized (Producer)
data_474_scale (Producer)
data_489_scale (Producer)
data_493_scale (Producer)
data_493_quantized (Producer)
data_493_zero_point (Producer)
data_494_quantized (Producer)
data_487_scale (Producer)
data_487_zero_point (Producer)
data_488_quantized (Producer)
data_490_quantized (Producer)
data_490_zero_point (Producer)
data_491_quantized (Producer)
data_477_scale (Producer)
data_481_zero_point (Producer)
data_478_scale (Producer)
data_474_zero_point (Producer)
data_514_zero_point (Producer)
data_492_zero_point (Producer)
data_492_scale (Producer)
data_496_scale (Producer)
data_496_quantized (Producer)
data_484_scale (Producer)
data_485_quantized (Producer)
data_484_quantized (Producer)
data_478_zero_point (Producer)
data_486_zero_point (Producer)
data_486_scale (Producer)
data_490_scale (Producer)
data_489_zero_point (Producer)
data_500_quantized (Producer)
data_498_zero_point (Producer)
data_498_scale (Producer)
data_339_zero_point (Producer)
data_339_scale (Producer)
data_502_quantized (Producer)
data_484_zero_point (Producer)
data_481_quantized (Producer)
data_481_scale (Producer)
data_483_zero_point (Producer)
data_483_scale (Producer)
data_487_quantized (Producer)
data_482_quantized (Producer)
data_480_zero_point (Producer)
data_480_scale (Producer)
data_496_zero_point (Producer)
data_497_quantized (Producer)
data_495_zero_point (Producer)
data_495_scale (Producer)
data_499_scale (Producer)
data_499_zero_point (Producer)
data_499_quantized (Producer)
data_502_scale (Producer)
data_502_zero_point (Producer)
data_503_quantized (Producer)
data_501_zero_point (Producer)
data_501_scale (Producer)
data_505_quantized (Producer)
data_505_scale (Producer)
data_505_zero_point (Producer)
data_506_quantized (Producer)
data_504_zero_point (Producer)
data_504_scale (Producer)
data_508_scale (Producer)
data_508_zero_point (Producer)
data_508_quantized (Producer)
data_509_quantized (Producer)
data_507_zero_point (Producer)
data_507_scale (Producer)
data_511_scale (Producer)
data_511_zero_point (Producer)
data_512_quantized (Producer)
data_510_zero_point (Producer)
data_510_scale (Producer)
data_514_scale (Producer)
data_514_quantized (Producer)
data_554_quantized (Producer)
data_515_quantized (Producer)
data_513_zero_point (Producer)
data_513_scale (Producer)
data_517_scale (Producer)
data_517_zero_point (Producer)
data_517_quantized (Producer)
data_518_quantized (Producer)
data_516_zero_point (Producer)
data_516_scale (Producer)
data_356_zero_point (Producer)
data_356_scale (Producer)
data_520_scale (Producer)
data_520_zero_point (Producer)
data_520_quantized (Producer)
data_521_quantized (Producer)
data_519_zero_point (Producer)
data_519_scale (Producer)
data_523_quantized (Producer)
data_523_scale (Producer)
data_523_zero_point (Producer)
data_524_quantized (Producer)
data_522_zero_point (Producer)
data_522_scale (Producer)
data_526_scale (Producer)
data_526_zero_point (Producer)
data_526_quantized (Producer)
data_527_quantized (Producer)
data_525_zero_point (Producer)
data_525_scale (Producer)
data_365_zero_point (Producer)
data_365_scale (Producer)
data_529_zero_point (Producer)
data_528_zero_point (Producer)
data_529_scale (Producer)
data_529_quantized (Producer)
data_530_quantized (Producer)
data_528_scale (Producer)
data_532_quantized (Producer)
data_532_scale (Producer)
data_532_zero_point (Producer)
data_533_quantized (Producer)
data_531_zero_point (Producer)
data_531_scale (Producer)
data_535_scale (Producer)
data_535_zero_point (Producer)
data_536_quantized (Producer)
data_534_zero_point (Producer)
data_535_quantized (Producer)
data_534_scale (Producer)
data_538_scale (Producer)
data_538_zero_point (Producer)
data_539_quantized (Producer)
data_537_zero_point (Producer)
data_537_scale (Producer)
data_541_scale (Producer)
data_541_zero_point (Producer)
data_538_quantized (Producer)
data_541_quantized (Producer)
data_540_zero_point (Producer)
data_542_quantized (Producer)
data_540_scale (Producer)
data_544_scale (Producer)
data_544_zero_point (Producer)
data_545_quantized (Producer)
data_543_zero_point (Producer)
data_543_scale (Producer)
data_382_zero_point (Producer)
data_382_scale (Producer)
data_547_quantized (Producer)
data_547_scale (Producer)
data_544_quantized (Producer)
data_547_zero_point (Producer)
data_548_quantized (Producer)
data_546_zero_point (Producer)
data_546_scale (Producer)
data_550_scale (Producer)
data_550_zero_point (Producer)
data_550_quantized (Producer)
data_549_zero_point (Producer)
data_551_quantized (Producer)
data_549_scale (Producer)
data_553_scale (Producer)
data_553_zero_point (Producer)
output_MatMul_scale (Producer)
output_zero_point (Producer)
output_scale (Producer)
data_552_zero_point (Producer)
data_552_scale (Producer)
data_391_zero_point (Producer)
data_391_scale (Producer)
data_553_quantized (Producer)
data_556_scale (Producer)
data_556_zero_point (Producer)
data_555_zero_point (Producer)
data_557_quantized (Producer)
data_555_scale (Producer)
data_559_scale (Producer)
data_559_zero_point (Producer)
data_556_quantized (Producer)
data_559_quantized (Producer)
data_558_zero_point (Producer)
data_560_quantized (Producer)
data_558_scale (Producer)
data_562_scale (Producer)
data_562_zero_point (Producer)
data_563_quantized (Producer)
data_561_zero_point (Producer)
data_561_scale (Producer)
data_400_zero_point (Producer)
data_400_scale (Producer)
data_565_quantized (Producer)
data_562_quantized (Producer)
data_565_scale (Producer)
data_565_zero_point (Producer)
data_564_zero_point (Producer)
data_566_quantized (Producer)
data_564_scale (Producer)
data_568_scale (Producer)
data_568_quantized (Producer)
data_568_zero_point (Producer)
data_567_zero_point (Producer)
data_569_quantized (Producer)
data_567_scale (Producer)
data_571_scale (Producer)
data_571_zero_point (Producer)
data_572_quantized (Producer)
data_570_zero_point (Producer)
data_570_scale (Producer)
data_574_quantized (Producer)
data_574_scale (Producer)
data_574_zero_point (Producer)
data_573_scale (Producer)
data_575_quantized (Producer)
data_573_zero_point (Producer)
data_571_quantized (Producer)
data_577_zero_point (Producer)
data_578_quantized (Producer)
data_577_quantized (Producer)
data_577_scale (Producer)
data_576_zero_point (Producer)
data_576_scale (Producer)
data_580_quantized (Producer)
data_580_scale (Producer)
data_580_zero_point (Producer)
data_581_quantized (Producer)
data_579_zero_point (Producer)
data_579_scale (Producer)
data_417_zero_point (Producer)
data_417_scale (Producer)
data_583_quantized (Producer)
data_583_scale (Producer)
data_582_zero_point (Producer)
data_584_quantized (Producer)
data_582_scale (Producer)
data_586_zero_point (Producer)
data_587_quantized (Producer)
data_586_scale (Producer)
data_586_quantized (Producer)
data_585_zero_point (Producer)
data_585_scale (Producer)
data_589_zero_point (Producer)
data_590_quantized (Producer)
data_588_zero_point (Producer)
data_588_scale (Producer)
data_426_zero_point (Producer)
data_583_zero_point (Producer)
data_426_scale (Producer)
data_592_quantized (Producer)
data_592_scale (Producer)
data_592_zero_point (Producer)
data_591_zero_point (Producer)
data_593_quantized (Producer)
data_591_scale (Producer)
data_596_quantized (Producer)
data_595_scale (Producer)
data_595_quantized (Producer)
data_595_zero_point (Producer)
data_594_zero_point (Producer)
data_594_scale (Producer)
data_598_quantized (Producer)
data_589_quantized (Producer)
data_589_scale (Producer)
data_475_zero_point (Producer)
data_475_scale (Producer)
data_479_quantized (Producer)
data_477_zero_point (Producer)
data_598_scale (Producer)
data_598_zero_point (Producer)
data_599_quantized (Producer)
data_597_zero_point (Producer)
data_597_scale (Producer)
data_601_quantized (Producer)
data_601_scale (Producer)
data_601_zero_point (Producer)
data_600_zero_point (Producer)
data_602_quantized (Producer)
data_600_scale (Producer)
data_603_zero_point (Producer)
data_604_quantized (Producer)
data_604_scale (Producer)
data_604_zero_point (Producer)
data_605_quantized (Producer)
data_603_scale (Producer)
data_607_quantized (Producer)
data_607_scale (Producer)
data_607_zero_point (Producer)
data_608_quantized (Producer)
data_606_zero_point (Producer)
data_606_scale (Producer)
data_443_zero_point (Producer)
data_443_scale (Producer)
data_610_quantized (Producer)
data_610_scale (Producer)
data_610_zero_point (Producer)
data_609_zero_point (Producer)
data_611_quantized (Producer)
data_609_scale (Producer)
data_613_scale (Producer)
data_613_zero_point (Producer)
data_613_quantized (Producer)
data_612_zero_point (Producer)
data_614_quantized (Producer)
data_612_scale (Producer)
data_616_quantized (Producer)
data_616_scale (Producer)
data_616_zero_point (Producer)
data_617_quantized (Producer)
data_615_zero_point (Producer)
data_615_scale (Producer)
data_452_zero_point (Producer)
data_452_scale (Producer)
data_619_quantized (Producer)
data_619_scale (Producer)
data_619_zero_point (Producer)
data_618_zero_point (Producer)
data_620_quantized (Producer)
data_618_scale (Producer)
data_621_zero_point (Producer)
data_621_scale (Producer)
data_622_quantized (Producer)
data_622_scale (Producer)
data_622_zero_point (Producer)
data_623_quantized (Producer)
data_625_quantized (Producer)
data_625_zero_point (Producer)
data_625_scale (Producer)
data_626_quantized (Producer)
data_624_zero_point (Producer)
data_624_scale (Producer)
data_628_quantized (Producer)
data_628_scale (Producer)
data_628_zero_point (Producer)
data_629_quantized (Producer)
data_627_zero_point (Producer)
data_627_scale (Producer)
data_464_zero_point (Producer)
data_464_scale (Producer)
classifier_1_weight_quantized (Producer)
classifier_1_weight_scale (Producer)
classifier_1_weight_zero_point (Producer)
output_MatMul_zero_point (Producer)
classifier_1_bias_scale (Producer)
classifier_1_bias_quantized (Producer)
classifier_1_bias_zero_point (Producer)
ScalingFactor (Producer)
ZeroPoint (Producer)
input_QuantizeLinear_ClipQuantMin (Producer)
input_QuantizeLinear_ClipQuantMax (Producer)
ZeroPoint_1 (Producer)
ScalingFactor_1 (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
_Cast_0 (Cast)
_Mul_0 (Mul)
_Round_0 (Round)
_Add_0 (Add)
_Clip_0 (Clip)
_Cast_1 (Cast)
_QLinearConv_0 (QLinearConv)
_QLinearConv_1 (QLinearConv)
_QLinearConv_2 (QLinearConv)
_QLinearConv_3 (QLinearConv)
_QLinearConv_4 (QLinearConv)
_QLinearConv_5 (QLinearConv)
_QLinearConv_6 (QLinearConv)
_QLinearConv_7 (QLinearConv)
_QLinearConv_8 (QLinearConv)
_QLinearAdd_0 (QLinearAdd)
_QLinearConv_9 (QLinearConv)
_QLinearConv_10 (QLinearConv)
_QLinearConv_11 (QLinearConv)
_QLinearConv_12 (QLinearConv)
_QLinearConv_13 (QLinearConv)
_QLinearConv_14 (QLinearConv)
_QLinearAdd_1 (QLinearAdd)
_QLinearConv_15 (QLinearConv)
_QLinearConv_16 (QLinearConv)
_QLinearConv_17 (QLinearConv)
_QLinearAdd_2 (QLinearAdd)
_QLinearConv_18 (QLinearConv)
_QLinearConv_19 (QLinearConv)
_QLinearConv_20 (QLinearConv)
_QLinearConv_21 (QLinearConv)
_QLinearConv_22 (QLinearConv)
_QLinearConv_23 (QLinearConv)
_QLinearAdd_3 (QLinearAdd)
_QLinearConv_24 (QLinearConv)
_QLinearConv_25 (QLinearConv)
_QLinearConv_26 (QLinearConv)
_QLinearAdd_4 (QLinearAdd)
_QLinearConv_27 (QLinearConv)
_QLinearConv_28 (QLinearConv)
_QLinearConv_29 (QLinearConv)
_QLinearAdd_5 (QLinearAdd)
_QLinearConv_30 (QLinearConv)
_QLinearConv_31 (QLinearConv)
_QLinearConv_32 (QLinearConv)
_QLinearConv_33 (QLinearConv)
_QLinearConv_34 (QLinearConv)
_QLinearConv_35 (QLinearConv)
_QLinearAdd_6 (QLinearAdd)
_QLinearConv_36 (QLinearConv)
_QLinearConv_37 (QLinearConv)
_QLinearConv_38 (QLinearConv)
_QLinearAdd_7 (QLinearAdd)
_QLinearConv_39 (QLinearConv)
_QLinearConv_40 (QLinearConv)
_QLinearConv_41 (QLinearConv)
_QLinearConv_42 (QLinearConv)
_QLinearConv_43 (QLinearConv)
_QLinearConv_44 (QLinearConv)
_QLinearAdd_8 (QLinearAdd)
_QLinearConv_45 (QLinearConv)
_QLinearConv_46 (QLinearConv)
_QLinearConv_47 (QLinearConv)
_QLinearAdd_9 (QLinearAdd)
_QLinearConv_48 (QLinearConv)
_QLinearConv_49 (QLinearConv)
_QLinearConv_50 (QLinearConv)
_QLinearConv_51 (QLinearConv)
_QLinearGlobalAveragePool_0 (QLinearGlobalAveragePool)
_Cast_2 (Cast)
_Sub_0 (Sub)
_Mul_1 (Mul)
_Shape_0 (Shape)
_Gather_0 (Gather)
_Unsqueeze_0 (Unsqueeze)
_Concat_0 (Concat)
_Reshape_0 (Reshape)
_QLinearMatMul_0 (QLinearMatMul)
_QLinearAdd_10 (QLinearAdd)
_Cast_3 (Cast)
_Sub_1 (Sub)
_Mul_2 (Mul)

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

LinearAdd)", "Conv_37_quant (QLinearConv)", "Conv_38_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_52_quant (QLinearConv)", "Conv_42_quant (QLinearConv)", "Add_66_quant
[[33mWARNING[0m]   (QLinearAdd)", "Conv_44_quant (QLinearConv)", "Conv_48_quant (QLinearConv)",
[[33mWARNING[0m]   "Add_89_quant (QLinearAdd)", "Conv_56_quant (QLinearConv)", "Add_72_quant (QLinearAdd)",
[[33mWARNING[0m]   "Conv_50_quant (QLinearConv)", "Conv_54_quant (QLinearConv)", "Conv_80_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_75_quant (QLinearConv)", "Conv_60_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_61_quant (QLinearConv)", "Conv_65_quant (QLinearConv)", "Conv_92_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_86_quant (QLinearConv)", "Add_83_quant (QLinearAdd)",
[[33mWARNING[0m]   "Conv_67_quant (QLinearConv)", "Conv_71_quant (QLinearConv)",
[[33mWARNING[0m]   "GlobalAveragePool_97_quant (QLinearGlobalAveragePool)", "Conv_73_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_77_quant (QLinearConv)", "Conv_78_quant (QLinearConv)", "Conv_82_quant
[[33mWARNING[0m]   (QLinearConv)", "layer_data_627_DequantizeLinear_MulDeQuant (Mul)", "Conv_84_quant
[[33mWARNING[0m]   (QLinearConv)", "layer_data_627_DequantizeLinear_SubDeQuant (Sub)", "Conv_88_quant
[[33mWARNING[0m]   (QLinearConv)", "Conv_90_quant (QLinearConv)", "Conv_94_quant (QLinearConv)",
[[33mWARNING[0m]   "Conv_95_quant (QLinearConv)", "Gather_100 (Gather)", "data_469 (Unsqueeze)",
[[33mWARNING[0m]   "Gemm_104_MatMul_quant (QLinearMatMul)", "Gemm_104_Add_quant (QLinearAdd)",
[[33mWARNING[0m]   "output_DequantizeLinear_MulDeQuant (Mul)", "output_DequantizeLinear_SubDeQuant (Sub)"].
[[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] - 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 mobilenetv212int8.onnx model_1D_classifier.onnx model_type2.onnx print_raw_output.py type1_test.sh type2_test.sh type3_test.sh No targets specified and no makefile found. Stop.

Report Details

report.json

null

124065 - rpi5 aidge 124067 - rpi5 aidge