123866 - rpi4b aidge
123866 - rpi4b aidge
Summary: Pipeline failed, but error.log is filled.
Model Details
- model name : squeezenet1.0-12-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_nc_rename_0_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[94mNOTICE[0m] * group : 1
[[94mNOTICE[0m] * kernel_shape : [3, 3]
[[94mNOTICE[0m] * pads : [0, 0, 0, 0]
[[94mNOTICE[0m] * strides : [2, 2]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m] QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m] GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_nc_rename_3_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_5_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[94mNOTICE[0m] * group : 1
[[94mNOTICE[0m] * kernel_shape : [3, 3]
[[94mNOTICE[0m] * pads : [1, 1, 1, 1]
[[94mNOTICE[0m] * strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m] QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m] GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_nc_rename_7_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_10_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_12_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[94mNOTICE[0m] * group : 1
[[94mNOTICE[0m] * kernel_shape : [3, 3]
[[94mNOTICE[0m] * pads : [1, 1, 1, 1]
[[94mNOTICE[0m] * strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m] QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m] GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_nc_rename_14_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_18_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_20_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[94mNOTICE[0m] * group : 1
[[94mNOTICE[0m] * kernel_shape : [3, 3]
[[94mNOTICE[0m] * pads : [1, 1, 1, 1]
[[94mNOTICE[0m] * strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m] QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m] GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_nc_rename_22_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_25_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_27_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[94mNOTICE[0m] * group : 1
[[94mNOTICE[0m] * kernel_shape : [3, 3]
[[94mNOTICE[0m] * pads : [1, 1, 1, 1]
[[94mNOTICE[0m] * strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m] QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m] GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_nc_rename_29_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_33_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_35_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[94mNOTICE[0m] * group : 1
[[94mNOTICE[0m] * kernel_shape : [3, 3]
[[94mNOTICE[0m] * pads : [1, 1, 1, 1]
[[94mNOTICE[0m] * strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m] QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m] GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_nc_rename_37_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_40_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_42_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[94mNOTICE[0m] * group : 1
[[94mNOTICE[0m] * kernel_shape : [3, 3]
[[94mNOTICE[0m] * pads : [1, 1, 1, 1]
[[94mNOTICE[0m] * strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m] QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m] GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_nc_rename_44_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_47_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_49_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[94mNOTICE[0m] * group : 1
[[94mNOTICE[0m] * kernel_shape : [3, 3]
[[94mNOTICE[0m] * pads : [1, 1, 1, 1]
[[94mNOTICE[0m] * strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m] QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m] GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_nc_rename_51_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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 layerwiseMODEL : squeezenet1.012int8.onnx
===============
ONNX Graph
===============
data_0 [1, 3, 224, 224]
===============
Aidge Graph
===============
Node(name='fire2_squeeze1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire6_expand1x1_1_scale', optype='Producer', children: [[1]])
Node(name='conv10_1_scale', optype='Producer', children: [[1, 1]])
Node(name='fire4_concat_1_QuantizeLinear', optype='Quantizer', parents: [1], children: [[1]])
Node(name='fire3_expand1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire6_expand1x1_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire3_expand3x3_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire2_squeeze1x1_1_zero_point', optype='Producer', children: [[1, 1, 1]])
Node(name='fire3_expand1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='Concat_nc_rename_9', optype='Concat', parents: [1, 1], children: [[1]])
Node(name='fire4_expand1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire9_expand1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='conv1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire3_squeeze1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_29_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire5_expand1x1_1_scale', optype='Producer', children: [[1]])
Node(name='fire8_squeeze1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire4_expand3x3_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='GlobalAveragePool_nc_rename_63_quant', optype='QLinearGlobalAveragePool', parents: [1, 1, 1, 1, 1], children: [[1]])
Node(name='conv1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_10_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
Node(name='fire4_expand3x3_1_scale', optype='Producer', children: [[1]])
Node(name='fire6_expand3x3_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire9_expand1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='Concat_nc_rename_16', optype='Concat', parents: [1, 1], children: [[1]])
Node(name='conv1_1_zero_point', optype='Producer', children: [[1, 1]])
Node(name='fire3_expand1x1_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire5_expand3x3_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire7_squeeze1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire3_expand1x1_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire2_squeeze1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='Concat_nc_rename_24', optype='Concat', parents: [1, 1], children: [[1]])
Node(name='fire4_expand3x3_1_zero_point', optype='Producer', children: [[1]])
Node(name='conv10_w_0_scale', optype='Producer', children: [[1]])
Node(name='pool10_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire6_concat_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire5_expand1x1_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire7_squeeze1x1_1_zero_point', optype='Producer', children: [[1, 1, 1]])
Node(name='Concat_nc_rename_39', optype='Concat', parents: [1, 1], children: [[1]])
Node(name='fire4_expand3x3_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire7_expand1x1_1_zero_point', optype='Producer', children: [[1]])
Node(name='conv10_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire5_expand1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire2_expand3x3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire6_expand1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire7_expand1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_12_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='conv10_1_zero_point', optype='Producer', children: [[1, 1]])
Node(name='fire4_expand3x3_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire9_concat_1_scale', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_27_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire6_expand1x1_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire5_expand1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire6_expand3x3_1_scale', optype='Producer', children: [[1]])
Node(name='fire7_expand1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire9_expand1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_14_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire7_expand1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire4_expand3x3_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire9_concat_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire5_expand1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire3_expand1x1_1_scale', optype='Producer', children: [[1]])
Node(name='fire2_concat_1_QuantizeLinear', optype='Quantizer', parents: [1], children: [[1]])
Node(name='data_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire4_squeeze1x1_1_scale', optype='Producer', children: [[1, 1, 1]])
Node(name='fire9_expand1x1_1_scale', optype='Producer', children: [[1]])
Node(name='MaxPool_nc_rename_32', optype='MaxPooling2D', parents: [1], children: [[1], []])
Node(name='fire5_expand1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='MaxPool_nc_rename_17', optype='MaxPooling2D', parents: [1], children: [[1], []])
Node(name='fire4_squeeze1x1_1_zero_point', optype='Producer', children: [[1, 1, 1]])
Node(name='fire9_expand1x1_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire2_squeeze1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='pool10_1_scale', optype='Producer', children: [[1]])
Node(name='fire8_expand1x1_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire5_expand3x3_1_scale', optype='Producer', children: [[1]])
Node(name='fire6_squeeze1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire2_expand3x3_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire7_expand3x3_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire2_expand3x3_1_scale', optype='Producer', children: [[1]])
Node(name='fire2_expand3x3_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire3_squeeze1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire9_expand3x3_1_scale', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_33_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
Node(name='fire2_expand1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire5_expand3x3_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire6_squeeze1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire2_expand1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire2_expand1x1_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire3_squeeze1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire8_concat_1_scale', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_25_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
Node(name='fire5_expand3x3_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire9_expand3x3_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire7_squeeze1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire7_concat_1_zero_point', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_3_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
Node(name='fire2_expand1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire2_concat_1_scale', optype='Producer', children: [[1]])
Node(name='fire8_concat_1_zero_point', optype='Producer', children: [[1]])
Node(name='data_0_QuantizeLinear', optype='Quantizer', parents: [0], children: [[1]])
Node(name='fire5_expand3x3_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire8_concat_1_QuantizeLinear', optype='Quantizer', parents: [1], children: [[1]])
Node(name='Conv_nc_rename_7_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='pool10_1_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire2_expand1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_56_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire2_concat_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire8_expand1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_61_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire5_expand3x3_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='Conv_nc_rename_54_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
Node(name='fire5_squeeze1x1_1_scale', optype='Producer', children: [[1, 1, 1]])
Node(name='Conv_nc_rename_0_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='Concat_nc_rename_60', optype='Concat', parents: [1, 1], children: [[1]])
Node(name='fire2_expand1x1_1_scale', optype='Producer', children: [[1]])
Node(name='fire8_expand1x1_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire9_expand1x1_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='pool5_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire5_squeeze1x1_1_zero_point', optype='Producer', children: [[1, 1, 1]])
Node(name='fire7_expand3x3_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire3_expand3x3_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire9_expand3x3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire6_expand3x3_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire2_expand1x1_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire8_squeeze1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire8_expand1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire2_squeeze1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='conv10_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire5_squeeze1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire6_squeeze1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire7_concat_1_scale', optype='Producer', children: [[1]])
Node(name='fire7_expand1x1_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire9_expand3x3_b_0_quantized', optype='Producer', children: [[1]])
Node(name='data_0_scale', optype='Producer', children: [[1]])
Node(name='fire9_concat_1_QuantizeLinear', optype='Quantizer', parents: [1], children: [[1]])
Node(name='conv1_1_scale', optype='Producer', children: [[1, 1]])
Node(name='fire8_expand1x1_1_scale', optype='Producer', children: [[1]])
Node(name='fire3_expand1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire6_expand1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='conv10_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire5_squeeze1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire9_expand3x3_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire7_expand1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire3_expand1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire4_squeeze1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire8_expand1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='MaxPool_nc_rename_2_quant', optype='MaxPooling2D', parents: [1], children: [[1], []])
Node(name='pool5_1_scale', optype='Producer', children: [[1]])
Node(name='fire6_concat_1_scale', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_47_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
Node(name='Softmax_nc_rename_64', optype='Softmax', parents: [1], children: [[]])
Node(name='pool5_1_QuantizeLinear', optype='Quantizer', parents: [1], children: [[1]])
Node(name='Conv_nc_rename_58_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire5_squeeze1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire8_squeeze1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire9_expand3x3_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire2_expand3x3_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire7_expand3x3_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire3_expand3x3_1_scale', optype='Producer', children: [[1]])
Node(name='fire4_squeeze1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire8_expand1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_22_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='Conv_nc_rename_42_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='Conv_nc_rename_37_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire5_squeeze1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire9_expand3x3_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire8_squeeze1x1_1_zero_point', optype='Producer', children: [[1, 1, 1]])
Node(name='fire4_squeeze1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire8_expand3x3_1_scale', optype='Producer', children: [[1]])
Node(name='fire6_squeeze1x1_1_scale', optype='Producer', children: [[1, 1, 1]])
Node(name='Conv_nc_rename_35_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire2_expand3x3_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire4_concat_1_scale', optype='Producer', children: [[1]])
Node(name='fire9_squeeze1x1_1_scale', optype='Producer', children: [[1, 1, 1]])
Node(name='fire7_expand3x3_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='conv1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire4_squeeze1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire6_squeeze1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire8_expand3x3_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire6_expand3x3_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='Conv_nc_rename_5_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire4_concat_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire7_expand1x1_1_scale', optype='Producer', children: [[1]])
Node(name='fire9_squeeze1x1_1_zero_point', optype='Producer', children: [[1, 1, 1]])
Node(name='Conv_nc_rename_20_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='pool3_1_scale', optype='Producer', children: [[1]])
Node(name='fire8_expand3x3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire3_expand3x3_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire4_expand3x3_w_0_quantized', optype='Producer', children: [[1]])
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_nc_rename_54_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_56_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[94mNOTICE[0m] * group : 1
[[94mNOTICE[0m] * kernel_shape : [3, 3]
[[94mNOTICE[0m] * pads : [1, 1, 1, 1]
[[94mNOTICE[0m] * strides : [1, 1]
[[33mWARNING[0m] - Aidge currently only supports layerwise scaling and not channelwise for
[[33mWARNING[0m] QLinearConv[Weight DequantizeLinear] node. This node will be filled by a
[[33mWARNING[0m] GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mConv_nc_rename_58_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_61_quant[0m] of type [[1m[3mQLinearConv[0m] as a GenericOperator.
[[94mNOTICE[0m] * auto_pad : b'NOTSET'
[[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_nc_rename_63_quant[0m] of type [[1m[3mQLinearGlobalAveragePool[0m] as
[[94mNOTICE[0m] a GenericOperator.
[[94mNOTICE[0m] * channels_last : 0
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_1.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_1.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_2.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_2.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_3.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_3.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_4.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_4.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_5.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_5.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_6.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_6.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_7.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_7.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_8.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_8.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_9.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_9.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_10.
[[94mNOTICENode(name='fire7_expand3x3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire9_squeeze1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire4_expand1x1_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire2_expand3x3_w_0_scale', optype='Producer', children: [[1]])
Node(name='pool3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire8_squeeze1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire3_squeeze1x1_1_zero_point', optype='Producer', children: [[1, 1, 1]])
Node(name='fire6_expand1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_40_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
Node(name='fire6_squeeze1x1_1_zero_point', optype='Producer', children: [[1, 1, 1]])
Node(name='Conv_nc_rename_51_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire4_expand1x1_1_scale', optype='Producer', children: [[1]])
Node(name='fire9_squeeze1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire7_expand3x3_1_scale', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_44_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='Concat_nc_rename_53', optype='Concat', parents: [1, 1], children: [[1]])
Node(name='conv1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire8_expand3x3_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='pool3_1_QuantizeLinear', optype='Quantizer', parents: [1], children: [[1]])
Node(name='fire2_squeeze1x1_1_scale', optype='Producer', children: [[1, 1, 1]])
Node(name='fire3_squeeze1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire4_expand1x1_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire9_squeeze1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire6_expand3x3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire5_expand1x1_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire3_expand3x3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire8_expand3x3_w_0_scale', optype='Producer', children: [[1]])
Node(name='fire6_expand1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire7_squeeze1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='Concat_nc_rename_46', optype='Concat', parents: [1, 1], children: [[1]])
Node(name='fire8_expand3x3_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire3_squeeze1x1_1_scale', optype='Producer', children: [[1, 1, 1]])
Node(name='fire6_expand3x3_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire4_expand1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire9_squeeze1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire6_expand3x3_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire7_expand3x3_2_DequantizeLinear', optype='Dequantizer', parents: [1], children: [[1]])
Node(name='fire3_expand3x3_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire7_squeeze1x1_1_scale', optype='Producer', children: [[1, 1, 1]])
Node(name='fire8_expand3x3_w_0_quantized', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_18_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
Node(name='fire7_squeeze1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='Concat_nc_rename_31', optype='Concat', parents: [1, 1], children: [[1]])
Node(name='Conv_nc_rename_49_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire7_concat_1_QuantizeLinear', optype='Quantizer', parents: [1], children: [[1]])
Node(name='fire4_expand1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire9_expand1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire6_concat_1_QuantizeLinear', optype='Quantizer', parents: [1], children: [[1]])
Node(name='fire3_expand3x3_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire8_squeeze1x1_1_scale', optype='Producer', children: [[1, 1, 1]])
Node(name='fire5_expand3x3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire4_expand1x1_w_0_quantized', optype='Producer', children: [[1]])
===============
Supported nodes
===============
Native operators: 214 (6 types)
- Concat: 8
- Dequantizer: 17
- MaxPooling2D: 3
- Producer: 176
- Quantizer: 9
- Softmax: 1
Generic operators: 27 (2 types)
- QLinearConv: 26
- QLinearGlobalAveragePool: 1
Native types coverage: 75.0% (6/8)
Native operators coverage: 88.8% (214/241)
(defaultdict(<class 'int'>, {'Softmax': 1, 'Quantizer': 9, 'Producer': 176, 'Dequantizer': 17, 'Concat': 8, 'MaxPooling2D': 3}), defaultdict(<class 'int'>, {'QLinearConv': 26, 'QLinearGlobalAveragePool': 1}))
===============\Graph manipulation
===============
Remove flatten
Fuse batchnorm
Expand metaop
Fuse to metaop
===============
New Aidge Graph
===============
Node(name='fire7_expand1x1_2_DequantizeLinear_CastIn', optype='Cast', parents: [1], children: [[1]])
Node(name='conv1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_44_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='pool5_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire5_expand3x3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire2_squeeze1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='pool3_1_QuantizeLinear_CastIn', optype='Cast', parents: [1], children: [[1]])
Node(name='fire5_expand3x3_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire5_expand3x3_b_0_quantized', optype='Producer', children: [[1]])
Node(name='pool3_1_QuantizeLinear_CastOut', optype='Cast', parents: [1], children: [[1]])
Node(name='fire4_expand1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire4_expand1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_22_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire2_expand1x1_1_scale', optype='Producer', children: [[1]])
Node(name='fire2_expand1x1_1_zero_point', optype='Producer', children: [[1]])
Node(name='conv1_1_scale', optype='Producer', children: [[1, 1]])
Node(name='fire4_squeeze1x1_w_0_scale', optype='Producer', children: [[1]])
Node(name='pool3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire3_expand1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='conv1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire3_expand1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire3_expand3x3_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire3_expand1x1_w_0_quantized', optype='Producer', children: [[1]])
Node(name='fire3_expand3x3_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire3_expand3x3_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='fire3_expand1x1_1_scale', optype='Producer', children: [[1]])
Node(name='fire2_squeeze1x1_w_0_quantized', optype='Producer', children: [[1]])
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Node(name='ScalingFactor', optype='Producer', children: [[1]])
Node(name='fire8_expand3x3_2_DequantizeLinear_CastIn', optype='Cast', parents: [1], children: [[1]])
Node(name='fire8_expand3x3_2_DequantizeLinear_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
Node(name='fire2_squeeze1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_47_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1, 1]])
Node(name='fire2_concat_1_scale', optype='Producer', children: [[1]])
Node(name='fire6_squeeze1x1_1_zero_point', optype='Producer', children: [[1, 1, 1]])
Node(name='MaxPool_nc_rename_17', optype='MaxPooling2D', parents: [1], children: [[1], []])
Node(name='fire8_concat_1_QuantizeLinear_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
Node(name='fire2_squeeze1x1_b_0_quantized', optype='Producer', children: [[1]])
Node(name='fire2_concat_1_zero_point', optype='Producer', children: [[1]])
Node(name='fire6_squeeze1x1_w_0_zero_point', optype='Producer', children: [[1]])
Node(name='ScalingFactor_10', optype='Producer', children: [[1]])
Node(name='ZeroPoint_10', optype='Producer', children: [[1]])
Node(name='Conv_nc_rename_49_quant', optype='QLinearConv', parents: [1, 1, 1, 1, 1, 1, 1, 1, 1], children: [[1]])
Node(name='fire8_expand1x1_2_DequantizeLinear_CastIn', optype='Cast', parents: [1], children: [[1]])
Node(name='ScalingFactor_1', optype='Producer', children: [[1]])
Node(name='fire8_expand1x1_2_DequantizeLinear_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
Node(name='conv10_1_scale', optype='Producer', children: [[1, 1]])
Node(name='fire2_expand3x3_2_DequantizeLinear_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
===============
Supported nodes 2
===============
Native operators: 363 (10 types)
- Add: 9
- Cast: 35
- Clip: 9
- Concat: 8
- MaxPooling2D: 3
- Mul: 26
- Producer: 246
- Round: 9
- Softmax: 1
- Sub: 17
Generic operators: 27 (2 types)
- QLinearConv: 26
- QLinearGlobalAveragePool: 1
Native types coverage: 83.3% (10/12)
Native operators coverage: 93.1% (363/390)
(defaultdict(<class 'int'>, {'Mul': 26, 'Producer': 246, 'Cast': 35, 'Sub': 17, 'Clip': 9, 'Add': 9, 'Round': 9, 'Concat': 8, 'MaxPooling2D': 3, 'Softmax': 1}), defaultdict(<class 'int'>, {'QLinearConv': 26, 'QLinearGlobalAveragePool': 1}))
===============
Supported nodes
===============
Native operators: 363 (10 types)
- Add: 9
- Cast: 35
- Clip: 9
- Concat: 8
- MaxPooling2D: 3
- Mul: 26
- Producer: 246
- Round: 9
- Softmax: 1
- Sub: 17
Generic operators: 27 (2 types)
- QLinearConv: 26
- QLinearGlobalAveragePool: 1
Native types coverage: 83.3% (10/12)
Native operators coverage: 93.1% (363/390)
(defaultdict(<class 'int'>, {'Sub': 17, 'Cast': 35, 'Producer': 246, 'Clip': 9, 'Round': 9, 'Add': 9, 'Mul': 26, 'MaxPooling2D': 3, 'Concat': 8, 'Softmax': 1}), defaultdict(<class 'int'>, {'QLinearConv': 26, 'QLinearGlobalAveragePool': 1}))
===============
Compile
===============
OK
===============
Create Scheduler
===============
OK
===============
Name nodes
===============
conv1_w_0_zero_point (Producer)
fire5_expand3x3_1_zero_point (Producer)
fire2_squeeze1x1_w_0_scale (Producer)
fire2_squeeze1x1_w_0_zero_point (Producer)
fire2_squeeze1x1_b_0_quantized (Producer)
fire2_squeeze1x1_1_zero_point (Producer)
conv1_1_zero_point (Producer)
fire3_squeeze1x1_w_0_zero_point (Producer)
fire3_squeeze1x1_b_0_quantized (Producer)
fire3_squeeze1x1_1_zero_point (Producer)
fire3_squeeze1x1_1_scale (Producer)
fire3_expand3x3_w_0_quantized (Producer)
fire3_expand3x3_w_0_scale (Producer)
fire2_expand3x3_b_0_quantized (Producer)
fire2_expand3x3_1_zero_point (Producer)
fire2_expand3x3_w_0_zero_point (Producer)
fire2_expand1x1_w_0_zero_point (Producer)
fire2_expand1x1_b_0_quantized (Producer)
fire2_expand3x3_w_0_quantized (Producer)
fire2_expand3x3_w_0_scale (Producer)
fire2_squeeze1x1_w_0_quantized (Producer)
conv1_b_0_quantized (Producer)
fire3_expand3x3_1_scale (Producer)
fire3_expand1x1_w_0_scale (Producer)
fire3_expand1x1_w_0_quantized (Producer)
fire3_expand1x1_w_0_zero_point (Producer)
pool5_1_zero_point (Producer)
fire3_expand1x1_b_0_quantized (Producer)
fire3_expand1x1_1_zero_point (Producer)
fire3_expand1x1_1_scale (Producer)
fire3_expand3x3_w_0_zero_point (Producer)
fire3_expand3x3_b_0_quantized (Producer)
fire3_expand3x3_1_zero_point (Producer)
conv1_w_0_quantized (Producer)
pool3_1_zero_point (Producer)
pool3_1_scale (Producer)
fire4_squeeze1x1_w_0_zero_point (Producer)
fire4_squeeze1x1_b_0_quantized (Producer)
fire4_squeeze1x1_w_0_quantized (Producer)
fire4_squeeze1x1_w_0_scale (Producer)
conv1_1_scale (Producer)
fire2_expand1x1_1_zero_point (Producer)
fire2_expand1x1_1_scale (Producer)
fire2_concat_1_zero_point (Producer)
fire2_concat_1_scale (Producer)
fire3_squeeze1x1_w_0_scale (Producer)
fire3_squeeze1x1_w_0_quantized (Producer)
fire4_squeeze1x1_1_zero_point (Producer)
fire4_squeeze1x1_1_scale (Producer)
fire4_expand3x3_w_0_scale (Producer)
fire4_expand3x3_w_0_zero_point (Producer)
fire4_expand3x3_b_0_quantized (Producer)
fire4_expand3x3_1_zero_point (Producer)
fire4_expand3x3_1_scale (Producer)
fire4_expand1x1_w_0_scale (Producer)
fire4_expand1x1_w_0_quantized (Producer)
fire4_expand1x1_w_0_zero_point (Producer)
fire4_expand1x1_b_0_quantized (Producer)
fire4_expand1x1_1_zero_point (Producer)
fire4_expand1x1_1_scale (Producer)
fire4_expand3x3_w_0_quantized (Producer)
fire4_concat_1_zero_point (Producer)
fire4_concat_1_scale (Producer)
fire5_squeeze1x1_w_0_scale (Producer)
fire5_squeeze1x1_w_0_zero_point (Producer)
fire5_squeeze1x1_b_0_quantized (Producer)
fire5_squeeze1x1_w_0_quantized (Producer)
fire5_squeeze1x1_1_zero_point (Producer)
fire5_squeeze1x1_1_scale (Producer)
fire5_expand3x3_w_0_scale (Producer)
fire5_expand3x3_w_0_zero_point (Producer)
fire5_expand3x3_b_0_quantized (Producer)
fire5_expand3x3_1_scale (Producer)
fire5_expand1x1_w_0_scale (Producer)
fire5_expand1x1_w_0_quantized (Producer)
fire5_expand1x1_w_0_zero_point (Producer)
fire5_expand1x1_b_0_quantized (Producer)
fire5_expand1x1_1_zero_point (Producer)
fire5_expand3x3_w_0_quantized (Producer)
fire5_expand1x1_1_scale (Producer)
conv10_1_scale (Producer)
pool5_1_scale (Producer)
fire6_squeeze1x1_w_0_scale (Producer)
fire6_squeeze1x1_w_0_zero_point (Producer)
fire6_squeeze1x1_b_0_quantized (Producer)
fire6_squeeze1x1_1_zero_point (Producer)
fire6_squeeze1x1_w_0_quantized (Producer)
fire6_squeeze1x1_1_scale (Producer)
fire6_expand3x3_w_0_scale (Producer)
fire6_expand3x3_w_0_zero_point (Producer)
fire6_expand3x3_b_0_quantized (Producer)
fire6_expand3x3_1_zero_point (Producer)
fire6_expand3x3_1_scale (Producer)
fire6_expand1x1_w_0_scale (Producer)
fire6_expand1x1_w_0_zero_point (Producer)
fire6_expand1x1_b_0_quantized (Producer)
fire6_expand1x1_w_0_quantized (Producer)
fire6_expand1x1_1_zero_point (Producer)
fire6_expand1x1_1_scale (Producer)
fire6_concat_1_zero_point (Producer)
fire6_concat_1_scale (Producer)
fire7_expand3x3_w_0_quantized (Producer)
fire7_expand3x3_w_0_scale (Producer)
fire7_expand3x3_w_0_zero_point (Producer)
fire7_expand3x3_b_0_quantized (Producer)
fire7_expand3x3_1_zero_point (Producer)
fire7_expand3x3_1_scale (Producer)
fire7_expand1x1_w_0_quantized (Producer)
fire7_squeeze1x1_w_0_quantized (Producer)
fire7_squeeze1x1_w_0_scale (Producer)
fire7_squeeze1x1_w_0_zero_point (Producer)
fire7_squeeze1x1_b_0_quantized (Producer)
fire7_squeeze1x1_1_zero_point (Producer)
fire7_squeeze1x1_1_scale (Producer)
fire6_expand3x3_w_0_quantized (Producer)
fire7_expand1x1_w_0_scale (Producer)
fire7_expand1x1_w_0_zero_point (Producer)
fire7_expand1x1_b_0_quantized (Producer)
fire7_expand1x1_1_zero_point (Producer)
fire7_expand1x1_1_scale (Producer)
fire7_concat_1_zero_point (Producer)
fire7_concat_1_scale (Producer)
fire8_squeeze1x1_w_0_scale (Producer)
fire8_squeeze1x1_w_0_zero_point (Producer)
fire8_squeeze1x1_b_0_quantized (Producer)
fire8_squeeze1x1_1_zero_point (Producer)
fire8_squeeze1x1_1_scale (Producer)
fire8_expand3x3_w_0_quantized (Producer)
fire8_expand3x3_w_0_scale (Producer)
fire8_expand3x3_w_0_zero_point (Producer)
fire8_squeeze1x1_w_0_quantized (Producer)
fire8_expand3x3_1_zero_point (Producer)
fire8_expand3x3_b_0_quantized (Producer)
fire8_expand3x3_1_scale (Producer)
fire8_expand1x1_w_0_scale (Producer)
fire8_expand1x1_w_0_zero_point (Producer)
fire8_expand1x1_1_scale (Producer)
fire8_expand1x1_b_0_quantized (Producer)
fire8_expand1x1_1_zero_point (Producer)
fire8_expand1x1_w_0_quantized (Producer)
fire8_concat_1_zero_point (Producer)
fire8_concat_1_scale (Producer)
fire9_expand3x3_1_scale (Producer)
fire9_expand1x1_1_zero_point (Producer)
fire9_expand1x1_1_scale (Producer)
fire9_concat_1_zero_point (Producer)
fire9_concat_1_scale (Producer)
conv10_w_0_quantized (Producer)
conv10_w_0_scale (Producer)
fire9_expand1x1_w_0_quantized (Producer)
fire9_expand1x1_w_0_scale (Producer)
fire9_expand1x1_w_0_zero_point (Producer)
fire9_expand1x1_b_0_quantized (Producer)
fire9_squeeze1x1_w_0_quantized (Producer)
fire9_squeeze1x1_w_0_scale (Producer)
fire9_squeeze1x1_w_0_zero_point (Producer)
fire9_squeeze1x1_b_0_quantized (Producer)
fire9_squeeze1x1_1_zero_point (Producer)
fire9_squeeze1x1_1_scale (Producer)
fire9_expand3x3_w_0_quantized (Producer)
fire9_expand3x3_w_0_scale (Producer)
fire9_expand3x3_w_0_zero_point (Producer)
fire9_expand3x3_b_0_quantized (Producer)
fire9_expand3x3_1_zero_point (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ZeroPoint_1 (Producer)
ScalingFactor_1 (Producer)
ScalingFactor (Producer)
ZeroPoint (Producer)
fire2_concat_1_QuantizeLinear_ClipQuantMin (Producer)
fire2_concat_1_QuantizeLinear_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor_2 (Producer)
ZeroPoint_2 (Producer)
ScalingFactor (Producer)
ScalingFactor (Producer)
conv10_w_0_zero_point (Producer)
conv10_b_0_quantized (Producer)
conv10_1_zero_point (Producer)
pool10_1_zero_point (Producer)
pool10_1_scale (Producer)
ScalingFactor_3 (Producer)
ZeroPoint_3 (Producer)
data_0_QuantizeLinear_ClipQuantMin (Producer)
data_0_QuantizeLinear_ClipQuantMax (Producer)
fire2_squeeze1x1_1_scale (Producer)
data_0_scale (Producer)
data_0_zero_point (Producer)
conv1_w_0_scale (Producer)
fire2_expand3x3_1_scale (Producer)
fire2_expand1x1_w_0_quantized (Producer)
fire2_expand1x1_w_0_scale (Producer)
ZeroPoint (Producer)
pool3_1_QuantizeLinear_ClipQuantMin (Producer)
pool3_1_QuantizeLinear_ClipQuantMax (Producer)
ZeroPoint_4 (Producer)
ScalingFactor_4 (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_5 (Producer)
ZeroPoint_5 (Producer)
fire4_concat_1_QuantizeLinear_ClipQuantMin (Producer)
fire4_concat_1_QuantizeLinear_ClipQuantMax (Producer)
ScalingFactor (Producer)
ZeroPoint (Producer)
ZeroPoint_6 (Producer)
ScalingFactor_6 (Producer)
ScalingFactor (Producer)
ZeroPoint (Producer)
pool5_1_QuantizeLinear_ClipQuantMin (Producer)
pool5_1_QuantizeLinear_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor_7 (Producer)
ZeroPoint_7 (Producer)
ScalingFactor (Producer)
ScalingFactor_8 (Producer)
ZeroPoint_8 (Producer)
fire6_concat_1_QuantizeLinear_ClipQuantMin (Producer)
fire6_concat_1_QuantizeLinear_ClipQuantMax (Producer)
ScalingFactor (Producer)
ZeroPoint (Producer)
ZeroPoint_9 (Producer)
ScalingFactor_9 (Producer)
ScalingFactor (Producer)
ZeroPoint (Producer)
fire7_concat_1_QuantizeLinear_ClipQuantMin (Producer)
fire7_concat_1_QuantizeLinear_ClipQuantMax (Producer)
ZeroPoint (Producer)
ZeroPoint_10 (Producer)
ScalingFactor_10 (Producer)
ScalingFactor (Producer)
ScalingFactor_11 (Producer)
[33mWARNING[0m] "fire4_expand3x3_2_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m] "fire4_concat_1_QuantizeLinear_MulQuant (Mul)",
[[33mWARNING[0m] "fire4_expand1x1_2_DequantizeLinear_MulDeQuant (Mul)", "Conv_nc_rename_22_quant
[[33mWARNING[0m] (QLinearConv)", "Conv_nc_rename_20_quant (QLinearConv)", "Conv_nc_rename_18_quant
[[33mWARNING[0m] (QLinearConv)", "fire4_expand3x3_2_DequantizeLinear_MulDeQuant (Mul)",
[[33mWARNING[0m] "fire5_expand3x3_2_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m] "fire4_concat_1_QuantizeLinear_AddQuant (Add)", "fire4_concat_1_QuantizeLinear_ClipQuant
[[33mWARNING[0m] (Clip)", "fire5_expand1x1_2_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m] "fire5_expand1x1_2_DequantizeLinear_MulDeQuant (Mul)", "Conv_nc_rename_29_quant
[[33mWARNING[0m] (QLinearConv)", "Conv_nc_rename_27_quant (QLinearConv)", "Conv_nc_rename_25_quant
[[33mWARNING[0m] (QLinearConv)", "fire5_expand3x3_2_DequantizeLinear_MulDeQuant (Mul)",
[[33mWARNING[0m] "pool5_1_QuantizeLinear_MulQuant (Mul)", "fire6_expand1x1_2_DequantizeLinear_SubDeQuant
[[33mWARNING[0m] (Sub)", "pool5_1_QuantizeLinear_AddQuant (Add)", "pool5_1_QuantizeLinear_ClipQuant
[[33mWARNING[0m] (Clip)", "fire6_expand3x3_2_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m] "fire6_expand1x1_2_DequantizeLinear_MulDeQuant (Mul)", "Conv_nc_rename_37_quant
[[33mWARNING[0m] (QLinearConv)", "fire6_concat_1_QuantizeLinear_MulQuant (Mul)", "Conv_nc_rename_35_quant
[[33mWARNING[0m] (QLinearConv)", "Conv_nc_rename_33_quant (QLinearConv)",
[[33mWARNING[0m] "fire6_expand3x3_2_DequantizeLinear_MulDeQuant (Mul)",
[[33mWARNING[0m] "fire7_expand3x3_2_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m] "fire6_concat_1_QuantizeLinear_AddQuant (Add)", "fire6_concat_1_QuantizeLinear_ClipQuant
[[33mWARNING[0m] (Clip)", "fire7_expand1x1_2_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m] "fire7_expand1x1_2_DequantizeLinear_MulDeQuant (Mul)", "Conv_nc_rename_42_quant
[[33mWARNING[0m] (QLinearConv)", "fire7_concat_1_QuantizeLinear_MulQuant (Mul)", "Conv_nc_rename_44_quant
[[33mWARNING[0m] (QLinearConv)", "Conv_nc_rename_40_quant (QLinearConv)",
[[33mWARNING[0m] "fire7_expand3x3_2_DequantizeLinear_MulDeQuant (Mul)",
[[33mWARNING[0m] "fire7_concat_1_QuantizeLinear_AddQuant (Add)", "fire7_concat_1_QuantizeLinear_ClipQuant
[[33mWARNING[0m] (Clip)", "fire8_expand3x3_2_DequantizeLinear_SubDeQuant (Sub)", "Conv_nc_rename_51_quant
[[33mWARNING[0m] (QLinearConv)", "fire8_expand1x1_2_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m] "fire8_expand1x1_2_DequantizeLinear_MulDeQuant (Mul)", "Conv_nc_rename_49_quant
[[33mWARNING[0m] (QLinearConv)", "fire8_concat_1_QuantizeLinear_MulQuant (Mul)", "Conv_nc_rename_47_quant
[[33mWARNING[0m] (QLinearConv)", "fire8_expand3x3_2_DequantizeLinear_MulDeQuant (Mul)",
[[33mWARNING[0m] "fire8_concat_1_QuantizeLinear_AddQuant (Add)", "fire8_concat_1_QuantizeLinear_ClipQuant
[[33mWARNING[0m] (Clip)", "fire9_expand3x3_2_DequantizeLinear_SubDeQuant (Sub)", "Conv_nc_rename_56_quant
[[33mWARNING[0m] (QLinearConv)", "fire9_expand1x1_2_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m] "fire9_expand1x1_2_DequantizeLinear_MulDeQuant (Mul)",
[[33mWARNING[0m] "fire9_concat_1_QuantizeLinear_MulQuant (Mul)", "Conv_nc_rename_54_quant (QLinearConv)",
[[33mWARNING[0m] "Conv_nc_rename_58_quant (QLinearConv)", "fire9_expand3x3_2_DequantizeLinear_MulDeQuant
[[33mWARNING[0m] (Mul)", "fire9_concat_1_QuantizeLinear_AddQuant (Add)",
[[33mWARNING[0m] "fire9_concat_1_QuantizeLinear_ClipQuant (Clip)", "GlobalAveragePool_nc_rename_63_quant
[[33mWARNING[0m] (QLinearGlobalAveragePool)", "pool10_1_DequantizeLinear_SubDeQuant (Sub)",
[[33mWARNING[0m] "pool10_1_DequantizeLinear_MulDeQuant (Mul)", "Conv_nc_rename_61_quant (QLinearConv)"].
[[33mWARNING[0m] - GenericOperator::setBackend(): cannot set backend for a generic operator, as no
[[33mWARNING[0m] implementation has been provided!
[[33mWARNING[0m] - ZeroPoint_11 (Producer)
fire8_concat_1_QuantizeLinear_ClipQuantMin (Producer)
fire8_concat_1_QuantizeLinear_ClipQuantMax (Producer)
ZeroPoint_12 (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_12 (Producer)
ScalingFactor (Producer)
ZeroPoint (Producer)
fire9_concat_1_QuantizeLinear_ClipQuantMin (Producer)
fire9_concat_1_QuantizeLinear_ClipQuantMax (Producer)
ScalingFactor_13 (Producer)
ZeroPoint_13 (Producer)
_Cast_0 (Cast)
_Mul_0 (Mul)
_Round_0 (Round)
_Add_0 (Add)
_Clip_0 (Clip)
_Cast_1 (Cast)
_QLinearConv_0 (QLinearConv)
_MaxPooling2D_0 (MaxPooling2D)
_QLinearConv_1 (QLinearConv)
_QLinearConv_2 (QLinearConv)
_QLinearConv_3 (QLinearConv)
_Cast_2 (Cast)
_Cast_3 (Cast)
_Sub_0 (Sub)
_Sub_1 (Sub)
_Mul_1 (Mul)
_Mul_2 (Mul)
_Concat_0 (Concat)
_Cast_4 (Cast)
_Mul_3 (Mul)
_Round_1 (Round)
_Add_1 (Add)
_Clip_1 (Clip)
_Cast_5 (Cast)
_QLinearConv_4 (QLinearConv)
_QLinearConv_5 (QLinearConv)
_QLinearConv_6 (QLinearConv)
_Cast_6 (Cast)
_Cast_7 (Cast)
_Sub_2 (Sub)
_Sub_3 (Sub)
_Mul_4 (Mul)
_Mul_5 (Mul)
_Concat_1 (Concat)
_MaxPooling2D_1 (MaxPooling2D)
_Cast_8 (Cast)
_Mul_6 (Mul)
_Round_2 (Round)
_Add_2 (Add)
_Clip_2 (Clip)
_Cast_9 (Cast)
_QLinearConv_7 (QLinearConv)
_QLinearConv_8 (QLinearConv)
_QLinearConv_9 (QLinearConv)
_Cast_10 (Cast)
_Cast_11 (Cast)
_Sub_4 (Sub)
_Sub_5 (Sub)
_Mul_7 (Mul)
_Mul_8 (Mul)
_Concat_2 (Concat)
_Cast_12 (Cast)
_Mul_9 (Mul)
_Round_3 (Round)
_Add_3 (Add)
_Clip_3 (Clip)
_Cast_13 (Cast)
_QLinearConv_10 (QLinearConv)
_QLinearConv_11 (QLinearConv)
_QLinearConv_12 (QLinearConv)
_Cast_14 (Cast)
_Cast_15 (Cast)
_Sub_6 (Sub)
_Sub_7 (Sub)
_Mul_10 (Mul)
_Mul_11 (Mul)
_Concat_3 (Concat)
_MaxPooling2D_2 (MaxPooling2D)
_Cast_16 (Cast)
_Mul_12 (Mul)
_Round_4 (Round)
_Add_4 (Add)
_Clip_4 (Clip)
_Cast_17 (Cast)
_QLinearConv_13 (QLinearConv)
_QLinearConv_14 (QLinearConv)
_QLinearConv_15 (QLinearConv)
_Cast_18 (Cast)
_Cast_19 (Cast)
_Sub_8 (Sub)
_Sub_9 (Sub)
_Mul_13 (Mul)
_Mul_14 (Mul)
_Concat_4 (Concat)
_Cast_20 (Cast)
_Mul_15 (Mul)
_Round_5 (Round)
_Add_5 (Add)
_Clip_5 (Clip)
_Cast_21 (Cast)
_QLinearConv_16 (QLinearConv)
_QLinearConv_17 (QLinearConv)
_QLinearConv_18 (QLinearConv)
_Cast_22 (Cast)
_Cast_23 (Cast)
_Sub_10 (Sub)
_Sub_11 (Sub)
_Mul_16 (Mul)
_Mul_17 (Mul)
_Concat_5 (Concat)
_Cast_24 (Cast)
_Mul_18 (Mul)
_Round_6 (Round)
_Add_6 (Add)
_Clip_6 (Clip)
_Cast_25 (Cast)
_QLinearConv_19 (QLinearConv)
_QLinearConv_20 (QLinearConv)
_QLinearConv_21 (QLinearConv)
_Cast_26 (Cast)
_Cast_27 (Cast)
_Sub_12 (Sub)
_Sub_13 (Sub)
_Mul_19 (Mul)
_Mul_20 (Mul)
_Concat_6 (Concat)
_Cast_28 (Cast)
_Mul_21 (Mul)
_Round_7 (Round)
_Add_7 (Add)
_Clip_7 (Clip)
_Cast_29 (Cast)
_QLinearConv_22 (QLinearConv)
_QLinearConv_23 (QLinearConv)
_QLinearConv_24 (QLinearConv)
_Cast_30 (Cast)
_Cast_31 (Cast)
_Sub_14 (Sub)
_Sub_15 (Sub)
_Mul_22 (Mul)
_Mul_23 (Mul)
_Concat_7 (Concat)
_Cast_32 (Cast)
_Mul_24 (Mul)
_Round_8 (Round)
_Add_8 (Add)
_Clip_8 (Clip)
_Cast_33 (Cast)
_QLinearConv_25 (QLinearConv)
_QLinearGlobalAveragePool_0 (QLinearGlobalAveragePool)
_Cast_34 (Cast)
_Sub_16 (Sub)
_Mul_25 (Mul)
_Softmax_0 (Softmax)
===============
Set backend
===============
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 model_1D_classifier.onnx model_type2.onnx print_raw_output.py squeezenet1.012int8.onnx type1_test.sh type2_test.sh type3_test.sh No targets specified and no makefile found. Stop.Report Details
report.json
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