214292 - rpi4b aidge – dAIEdge-VLab Status

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rpi4b

rpi4b-0002-0002

aidge

214292 - rpi4b aidge

❗

Summary: Test failed.

Model Details

model name : Resnet_int8.onnx

Logs Details

user.log

[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mmodel_conv2d_8_Conv2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node
[[94mNOTICE[0m]   [[1m[3mmodel_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resou
[[94mNOTICE[0m]   ce_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mmodel_conv2d_7_Conv2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mmodel_conv2d_6_Conv2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mmodel_conv2d_5_Conv2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node
[[94mNOTICE[0m]   [[1m[3mmodel_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resou
[[94mNOTICE[0m]   ce_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mmodel_conv2d_4_Conv2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mmodel_conv2d_3_Conv2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mmodel_conv2d_2_Conv2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mmodel_conv2d_1_Conv2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will bMODEL : Resnet_int8.onnx

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

input_1_int8 ['unk__259', 32, 32, 3]

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

  Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
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  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_1_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_2_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_3_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
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  Node(name='model_conv2d_5_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_6_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='Identity_int8_quantize', optype='Quantizer', parents: [1], children: [[]])
  Node(name='model_conv2d_7_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_dense_MatMul;model_dense_BiasAdd_dequant', optype='Dequantizer', parents: [1], children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_dense_MatMul;model_dense_BiasAdd_quantize', optype='Quantizer', parents: [1], children: [[1]])
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  Node(name='model_flatten_Reshape_dequant', optype='Dequantizer', parents: [1], children: [[1]])
  Node(name='model_dense_BiasAdd_ReadVariableOp_resource_dequant', optype='Dequantizer', parents: [1], children: [[1]])
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  Node(name='scale__37', optype='Producer', children: [[1]])
  Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_prequant__73', optype='Transpose', parents: [0], children: [[1]])
  e filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node [[1m[3mmodel_conv2d_Conv2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a
[[94mNOTICE[0m]   GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node
[[94mNOTICE[0m]   [[1m[3mmodel_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resou
[[94mNOTICE[0m]   ce;model_conv2d_7_BiasAdd_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node
[[94mNOTICE[0m]   [[1m[3mmodel_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resou
[[94mNOTICE[0m]   ce;model_conv2d_4_BiasAdd_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node
[[94mNOTICE[0m]   [[1m[3mmodel_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resou
[[94mNOTICE[0m]   ce;model_conv2d_2_BiasAdd_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node
[[94mNOTICE[0m]   [[1m[3mmodel_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_Bias
[[94mNOTICE[0m]   dd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Co
[[94mNOTICE[0m]   v2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node
[[94mNOTICE[0m]   [[1m[3mmodel_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_Bias
[[94mNOTICE[0m]   dd_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Co
[[94mNOTICE[0m]   v2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node
[[94mNOTICE[0m]   [[1m[3mmodel_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_Bias
[[94mNOTICE[0m]   dd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Co
[[94mNOTICE[0m]   v2D_dequant[0m] of type [[1m[3mDequantizeLinear[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[33mWARNING[0m] - Warning: Unsupported attribute 'axis' with value 0 for operator 'DequantizeLinear' with
[[33mWARNING[0m]   opset 15. This node will be filled by a GenericOperator.
[[94mNOTICE[0m] - Loaded node
[[94mNOTICE[0m]   [[1m[3mmodel_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_Re
[[94mNOTICE[0m]   dVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D_dequa
[[94mNOTICE[0m]   t[0m] of type [[1m[3mDequantizeLinear[0m] as a GenericOperator.
[[94mNOTICE[0m]   	* axis : 0
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_1.
[[94mNOTICE[0m] - Node naNode(name='scale__69', optype='Producer', children: [[1, 1]])
  Node(name='zero_point__62', optype='Producer', children: [[1, 1, 1]])
  Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])

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

Native operators: 101 (12 types)
- Add: 4
- AvgPooling2D: 1
- Conv2D: 2
- Dequantizer: 17
- MatMul: 1
- PaddedConv2D: 7
- Producer: 44
- Quantizer: 15
- ReLU: 7
- Reshape: 1
- Softmax: 1
- Transpose: 1
Generic operators: 18 (1 types)
- DequantizeLinear: 18
Native types coverage: 92.3% (12/13)
Native operators coverage: 84.9% (101/119)
  (defaultdict(<class 'int'>, {'Quantizer': 15, 'Dequantizer': 17, 'Producer': 44, 'MatMul': 1, 'Reshape': 1, 'AvgPooling2D': 1, 'Softmax': 1, 'Add': 4, 'PaddedConv2D': 7, 'ReLU': 7, 'Conv2D': 2, 'Transpose': 1}), defaultdict(<class 'int'>, {'DequantizeLinear': 18}))

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

Remove flatten
Fuse batchnorm
Expand metaop
Fuse to metaop

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

  Node(name='model_conv2d_4_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='model_dense_MatMul;model_dense_BiasAdd_quantize_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='scale__69', optype='Producer', children: [[1, 1]])
  Node(name='ScalingFactor', optype='Producer', children: [[1]])
  Node(name='model_average_pooling2d_AvgPool_quantize_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='scale__37', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='scale__35', optype='Producer', children: [[1]])
  Node(name='Transpose__201_DequantizeLinear__249_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='ZeroPoint_12', optype='Producer', children: [[1]])
  Node(name='model_average_pooling2d_AvgPool_quantize_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_BiasAdd_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_AddQuant', optype='Add', parents: [1, 1], children: [[1]])
  Node(name='model_dense_MatMul;model_dense_BiasAdd_dequant_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='scale__61', optype='Producer', children: [[1]])
  Node(name='ScalingFactor_12', optype='Producer', children: [[1]])
  Node(name='scale__59', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='', optype='AddAct', parents: [1, 1], children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_prequant__153_DequantizeLinear__251_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='scale__43', optype='Producer', children: [[1]])
  Node(name='ScalingFactor', optype='Producer', children: [[1]])
  Node(name='scale__39', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_prequant__153_DequantizeLinear__251_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='model_activation_6_Relu;model_add_2_add_quantize_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='model_dense_MatMul;model_dense_BiasAdd_quantize_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='model_dense_MatMul;model_dense_BiasAdd_quantize_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2D1_quantize_CastOut', optype='Cast', parents: [1], children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_prequant__153_DequantizeLinear__251_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2D1_quantize_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D1_quantize_CastOut', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2D1_quantize_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D1_quantize_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='ZeroPoint_3', optype='Producer', children: [[1]])
  Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D1_quantize_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='Identity_int8_quantize_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='ScalingFactor_3', optype='Producer', children: [[1]])
  Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D1_quantize_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2D1_prequant__82_DequantizeLinear__243_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D1_quantize_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='model_average_pooling2d_AvgPool_quantize_AddQuant', optype='Add', parents: [1, 1], children: [[1]])
  Node(name='model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2D1_prequant__82_DequantizeLinear__243_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1, 1]])
  Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D1_quantize_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2D1_prequant__82_DequantizeLinear__243_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='ZeroPoint_11', optype='Producer', children: [[1]])
  Node(name='model_flatten_Reshape_prequant', optype='Reshape', parents: [1, 1], children: [[1]])
  Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_quantize_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D1_quantize_AddQuant', optype='Add', parents: [1, 1], children: [[1]])
  Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_quantize_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='ScalingFactor_11', optype='Producer', children: [[1]])
  Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_quantize_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='', optype='PadConvAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
  Node(name='ZeroPoint_14', optype='Producer', children: [[1]])
  Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_quantize_AddQuant', optype='Add', parents: [1, 1], children: [[1]])
  Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D1_quantize_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_quantize_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='model_average_pooling2d_AvgPool_quantize_CastOut', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_dequant_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_prequant__73_DequantizeLinear__221_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='ScalingFactor', optype='Producer', children: [[1]])
  Node(name='ScalingFactor', optype='Producer', children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_dequant_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='ScalingFactor_15', optype='Producer', children: [[1]])
  Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_prequant__73', optype='Transpose', parents: [0], children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_dequant_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_quantize_CastOut', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resource;model_conv2d_4_BiasAdd_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_quantize_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_dense_MatMul;model_dense_BiasAdd_quantize_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_quantize_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='model_conv2d_1_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_quantize_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_quantize_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='model_conv2d_6_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_quantize_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
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  Node(name='model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='ZeroPoint_6', optype='Producer', children: [[1]])
  Node(name='ScalingFactor_13', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_dense_MatMul;model_dense_BiasAdd_dequant_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_quantize_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='model_average_pooling2d_AvgPool_quantize_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_conv2d_2_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_quantize_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_conv2d_3_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_activation_2_Relu;model_add_add_quantize_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='model_conv2d_5_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='ScalingFactor_16', optype='Producer', children: [[1]])
  Node(name='ScalingFactor_6', optype='Producer', children: [[1]])
  Node(name='Transpose__201_DequantizeLinear__249_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='model_conv2d_7_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_quantize_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='model_conv2d_8_Conv2D_dequant', optype='DequantizeLinear', parents: [1, 1, 1], children: [[1]])
  Node(name='model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_quantize_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='ScalingFactor_1', optype='Producer', children: [[1]])
  Node(name='model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_prequant__104_DequantizeLinear__253_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1, 1]])
  Node(name='ZeroPoint_1', optype='Producer', children: [[1]])
  Node(name='Identity_int8_quantize_AddQuant', optype='Add', parents: [1, 1], children: [[1]])
  Node(name='model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_prequant', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
  Node(name='model_dense_MatMul_dequant_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_quantize_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='model_dense_MatMul;model_dense_BiasAdd_quantize_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='model_dense_MatMul_dequant_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='model_dense_MatMul_dequant_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_prequant__104_DequantizeLinear__253_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D', optype='Producer', children: [[1]])
  Node(name='model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_prequant__104_DequantizeLinear__253_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_BiasAdd_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Conv2D', optype='Producer', children: [[1]])
  Node(name='ScalingFactor', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd', optype='Producer', children: [[1]])
  Node(name='model_activation_2_Relu;model_add_add_quantize_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd', optype='Producer', children: [[1]])
  Node(name='model_activation_2_Relu;model_add_add_quantize_CastOut', optype='Cast', parents: [1], children: [[1]])
  me "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 "ScalingFactor" is a duplicate, renaming it to ScalingFactor_4.
[[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_5.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_5.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_6.
[[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_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 "ScalingFactor" is a duplicate, renaming it to ScalingFactor_9.
[[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_10.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_10.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_11.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_11.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_12.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_12.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_13.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_13.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_14.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_14.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_15.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_15.
[[94mNOTICE[0m] - Node name "ScalingFactor" is a duplicate, renaming it to ScalingFactor_16.
[[94mNOTICE[0m] - Node name "ZeroPoint" is a duplicate, renaming it to ZeroPoint_16.
[[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 model_conv2d_4_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_8_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_7_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_6_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_5_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_3_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_2_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_1_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_7_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_4_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_2_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_Read
[[31mERROR[0m]   ariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D_dequant
[[31mERROR[0m]   (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_4_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_8_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_7_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_6_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_5_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_3_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_2_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_1_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_7_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_4_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_2_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_Read
[[31mERROR[0m]   ariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D_dequant
[[31mERROR[0m]   (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_4_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_8_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_7_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_6_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_5_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_3_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_2_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_1_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_7_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_4_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_2_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_Read
[[31mERROR[0m]   ariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D_dequant
[[31mERROR[0m]   (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_4_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_8_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_7_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_6_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_5_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_3_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_2_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_1_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_7_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_4_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_2_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_Read
[[31mERROR[0m]   ariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D_dequant
[[31mERROR[0m]   (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_4_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_8_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_7_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_6_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_5_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_3_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_2_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_1_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node model_conv2d_Conv2D_dequant (of type
[[31mERROR[0m]   DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_7_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_4_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resourc
[[31mERROR[0m]   ;model_conv2d_2_BiasAdd_dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAd
[[31mERROR[0m]   _ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2
[[31mERROR[0m]   _dequant (of type DequantizeLinear)
[[31mERROR[0m] - Unable to forward data type for node
[[31mERROR[0m]   model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_Read
[[31mERROR[0m]   ariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D_dequant
[[31mERROR[0m]   (of type DequantizeLinear)
[[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
[[33mWARNING[0m]   ["model_conv2d_4_Conv2D_dequant (DequantizeLinear)",
[[33mWARNING[0m]   "model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_
[[33mWARNING[0m]   onv2D_dequant (DequantizeLinear)", " (PadConv)", " (PadConv)", " (PadConvAct)", "
[[33mWARNING[0m]   (PadConv)", "model_conv2d_8_Conv2D_dequant (DequantizeLinear)",
[[33mWARNING[0m]   "model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce_dequant (DequantizeLinear)", "model_conv2d_7_Conv2D_dequant (DequantizeLinear)",
[[33mWARNING[0m]   "model_conv2d_6_Conv2D_dequant (DequantizeLinear)", "model_conv2d_5_Conv2D_dequant
[[33mWARNING[0m]   (DequantizeLinear)",
[[33mWARNING[0m]   "model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce_dequant (DequantizeLinear)", "model_conv2d_3_Conv2D_dequant (DequantizeLinear)",
[[33mWARNING[0m]   "model_conv2d_2_Conv2D_dequant (DequantizeLinear)", "model_conv2d_1_Conv2D_dequant
[[33mWARNING[0m]   (DequantizeLinear)", "model_conv2d_Conv2D_dequant (DequantizeLinear)",
[[33mWARNING[0m]   "model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_7_BiasAdd_dequant (DequantizeLinear)",
[[33mWARNING[0m]   "model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_4_BiasAdd_dequant (DequantizeLinear)",
[[33mWARNING[0m]   "model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_2_BiasAdd_dequant (DequantizeLinear)",
[[33mWARNING[0m]   "model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_
[[33mWARNING[0m]   onv2D_dequant (DequantizeLinear)",
[[33mWARNING[0m]   "model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_
[[33mWARNING[0m]   onv2D_dequant (DequantizeLinear)",
[[33mWARNING[0m]   "model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_R
[[33mWARNING[0m]   adVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D_deq
[[33mWARNING[0m]   ant (DequantizeLinear)", " (PadConvAct)",
[[33mWARNING[0m]   "model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_R
[[33mWARNING[0m]   adVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_qu
[[33mWARNING[0m]   ntize_MulQuant (Mul)",
[[33mWARNING[0m]   "model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_R
[[33mWARNING[0m]   adVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_qu
[[33mWARNING[0m]   ntize_AddQuant (Add)",
[[33mWARNING[0m]   "model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_R
[[33mWARNING[0m]   adVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_qu
[[33mWARNING[0m]   ntize_ClipQuant (Clip)",
[[33mWARNING[0m]   "model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_
[[33mWARNING[0m]   onv2D1_prequant__82_DequantizeLinear__243_SubDeQuant (Sub)",
[[33mWARNING[0m]   "model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_
[[33mWARNING[0m]   onv2D1_prequant__82_DequantizeLinear__243_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_
[[33mWARNING[0m]   onv2D1_quantize_MulQuant (Mul)",
[[33mWARNING[0m]   "model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_
[[33mWARNING[0m]   onv2D1_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_
[[33mWARNING[0m]   onv2D1_quantize_ClipQuant (Clip)",
[[33mWARNING[0m]   "model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_prequant__91_DequantizeLinear__257_SubD
[[33mWARNING[0m]   Quant (Sub)",
[[33mWARNING[0m]   "model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_prequant__91_DequantizeLinear__257_MulD
[[33mWARNING[0m]   Quant (Mul)",
[[33mWARNING[0m]   "model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_quantize_MulQuant (Mul)", "
[[33mWARNING[0m]   (PadConvAct)",
[[33mWARNING[0m]   "model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_quantize_ClipQuant (Clip)",
[[33mWARNING[0m]   "model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_dequant_SubDeQuant (Sub)",
[[33mWARNING[0m]   "model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_dequant_MulDeQuant (Mul)",
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[[33mWARNING[0m]   "model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_reso
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[[33mWARNING[0m]   "model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_reso
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[[33mWARNING[0m]   "model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_reso
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[[33mWARNING[0m]   (Add)",
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[[33mWARNING[0m]   rce;model_conv2d_4_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_4_Conv2D_quantize_ClipQuan
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[[33mWARNING[0m] - GenericOperator: cannot compute output dims, no ComputeDimsFunc function provided.
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[[33mWARNING[0m] - GenericOperator: cannot compute output dims, no ComputeDimsFunc function provided.
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[[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] - 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.
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[[33mWARNING[0m] - GenericOperator: cannot compute output dims, no ComputeDimsFunc function provided.
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[[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] - GenericOperator: cannot compute output dims, no ComputeDimsFunc function provided.
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[[33mWARNING[0m] - GenericOperator: cannot compute output dims, no ComputeDimsFunc function provided.
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[[33mWARNING[0m]   "model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_prequant__104_DequantizeLinear__253_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_quantize_MulQuant (Mul)",
[[33mWARNING[0m]   "model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_quantize_ClipQuant (Clip)",
[[33mWARNING[0m]   "model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_dequant_SubDeQuant (Sub)",
[[33mWARNING[0m]   "model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_dequant_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_
[[33mWARNING[0m]   onv2D1_quantize_MulQuant (Mul)",
[[33mWARNING[0m]   "model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_
[[33mWARNING[0m]   onv2D1_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_
[[33mWARNING[0m]   onv2D1_quantize_ClipQuant (Clip)",
[[33mWARNING[0m]   "model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_4_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_4_Conv2D_prequant__122_Deq
[[33mWARNING[0m]   antizeLinear__245_SubDeQuant (Sub)",
[[33mWARNING[0m]   "model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_4_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_4_Conv2D_prequant__122_Deq
[[33mWARNING[0m]   antizeLinear__245_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_4_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_4_Conv2D_quantize_MulQuant
[[33mWARNING[0m]   (Mul)",
[[33mWARNING[0m]   "model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_4_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_4_Conv2D_quantize_AddQuant
[[33mWARNING[0m]   (Add)",
[[33mWARNING[0m]   "model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_4_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_4_Conv2D_quantize_ClipQuan
[[33mWARNING[0m]    (Clip)", "Transpose__193_DequantizeLinear__255_SubDeQuant (Sub)",
[[33mWARNING[0m]   "Transpose__193_DequantizeLinear__255_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_activation_4_Relu;model_add_1_add_quantize_MulQuant (Mul)",
[[33mWARNING[0m]   "model_activation_4_Relu;model_add_1_add_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "model_activation_4_Relu;model_add_1_add_quantize_ClipQuant (Clip)",
[[33mWARNING[0m]   "model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_
[[33mWARNING[0m]   onv2D1_prequant__144_DequantizeLinear__247_SubDeQuant (Sub)",
[[33mWARNING[0m]   "model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_
[[33mWARNING[0m]   onv2D1_prequant__144_DequantizeLinear__247_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_quantize_MulQuant (Mul)",
[[33mWARNING[0m]   "model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_quantize_ClipQuant (Clip)",
[[33mWARNING[0m]   "model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_dequant_SubDeQuant (Sub)",
[[33mWARNING[0m]   "model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce1_dequant_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_Bia
[[Node(name='zero_point__36', optype='Producer', children: [[1, 1, 1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='scale__65', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_quantize_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='zero_point__46', optype='Producer', children: [[1, 1, 1]])
  Node(name='ZeroPoint_5', optype='Producer', children: [[1]])
  Node(name='model_conv2d_4_Conv2D', optype='Producer', children: [[1]])
  Node(name='model_activation_2_Relu;model_add_add_quantize_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_conv2d_5_Conv2D', optype='Producer', children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='model_activation_2_Relu;model_add_add_quantize_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='model_conv2d_7_Conv2D', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_dequant_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_conv2d_1_Conv2D', optype='Producer', children: [[1]])
  Node(name='Transpose__201_DequantizeLinear__249_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='model_activation_2_Relu;model_add_add_quantize_AddQuant', optype='Add', parents: [1, 1], children: [[1]])
  Node(name='model_conv2d_8_Conv2D', optype='Producer', children: [[1]])
  Node(name='model_activation_2_Relu;model_add_add_quantize_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='model_dense_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
  Node(name='zero_point__62', optype='Producer', children: [[1, 1, 1]])
  Node(name='', optype='AddAct', parents: [1, 1], children: [[1]])
  Node(name='ZeroPoint', optype='Producer', children: [[1]])
  Node(name='scale__51', optype='Producer', children: [[1]])
  Node(name='ScalingFactor_5', optype='Producer', children: [[1]])
  Node(name='zero_point__58', optype='Producer', children: [[1, 1, 1]])
  Node(name='model_activation_2_Relu;model_add_add_quantize_MulQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='scale__57', optype='Producer', children: [[1]])
  Node(name='ScalingFactor_14', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_quantize_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='', optype='PadConv', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
  Node(name='model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_dequant_SubDeQuant', optype='Sub', parents: [1, 1], children: [[1]])
  Node(name='scale__47', optype='Producer', children: [[1]])
  Node(name='model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_dequant_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='ZeroPoint_13', optype='Producer', children: [[1]])
  Node(name='model_dense_MatMul;model_dense_BiasAdd_prequant', optype='MatMul', parents: [1, 1], children: [[1]])
  Node(name='model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_quantize_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='model_activation_6_Relu;model_add_2_add_quantize_AddQuant', optype='Add', parents: [1, 1], children: [[1]])
  Node(name='model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_quantize_CastOut', optype='Cast', parents: [1], children: [[1]])
  Node(name='scale__53', optype='Producer', children: [[1]])
  Node(name='Identity_int8_quantize_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='Identity_int8_quantize_CastOut', optype='Cast', parents: [1], children: [[]])
  Node(name='model_average_pooling2d_AvgPool_quantize_ClipQuantMax', optype='Producer', children: [[1]])
  Node(name='model_average_pooling2d_AvgPool_prequant__166_DequantizeLinear__241_MulDeQuant', optype='Mul', parents: [1, 1], children: [[1]])
  Node(name='Identity_int8_quantize_RoundQuant', optype='Round', parents: [1], children: [[1]])
  Node(name='ScalingFactor', optype='Producer', children: [[1]])
  Node(name='model_activation_6_Relu;model_add_2_add_quantize_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='model_average_pooling2d_AvgPool_prequant__166_DequantizeLinear__241_CastIn', optype='Cast', parents: [1], children: [[1]])
  Node(name='model_average_pooling2d_AvgPool_quantize_ClipQuantMin', optype='Producer', children: [[1]])
  Node(name='model_activation_6_Relu;model_add_2_add_quantize_ClipQuant', optype='Clip', parents: [1, 1, 1], children: [[1]])
  Node(name='model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_CastOut', optype='Cast', parents: [1], children: [[1]])
  Node(name='Identity_int8_quantize_CastIn', optype='Cast', parents: [1], children: [[1]])

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

Native operators: 297 (16 types)
- Add: 16
- AddAct: 3
- AvgPooling2D: 1
- Cast: 47
- Clip: 15
- Conv2D: 2
- MatMul: 1
- Mul: 32
- PadConv: 3
- PadConvAct: 4
- Producer: 138
- Reshape: 1
- Round: 15
- Softmax: 1
- Sub: 17
- Transpose: 1
Generic operators: 18 (1 types)
- DequantizeLinear: 18
Native types coverage: 94.1% (16/17)
Native operators coverage: 94.3% (297/315)
  (defaultdict(<class 'int'>, {'Producer': 138, 'Cast': 47, 'Round': 15, 'Clip': 15, 'Add': 16, 'Mul': 32, 'Sub': 17, 'MatMul': 1, 'Reshape': 1, 'AvgPooling2D': 1, 'Softmax': 1, 'PadConvAct': 4, 'Conv2D': 2, 'AddAct': 3, 'PadConv': 3, 'Transpose': 1}), defaultdict(<class 'int'>, {'DequantizeLinear': 18}))

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

Native operators: 297 (16 types)
- Add: 16
- AddAct: 3
- AvgPooling2D: 1
- Cast: 47
- Clip: 15
- Conv2D: 2
- MatMul: 1
- Mul: 32
- PadConv: 3
- PadConvAct: 4
- Producer: 138
- Reshape: 1
- Round: 15
- Softmax: 1
- Sub: 17
- Transpose: 1
Generic operators: 18 (1 types)
- DequantizeLinear: 18
Native types coverage: 94.1% (16/17)
Native operators coverage: 94.3% (297/315)
  (defaultdict(<class 'int'>, {'Add': 16, 'Producer': 138, 'Mul': 32, 'Cast': 47, 'Sub': 17, 'Round': 15, 'Clip': 15, 'PadConv': 3, 'MatMul': 1, 'Reshape': 1, 'AvgPooling2D': 1, 'Softmax': 1, 'AddAct': 3, 'PadConvAct': 4, 'Conv2D': 2, 'Transpose': 1}), defaultdict(<class 'int'>, {'DequantizeLinear': 18}))

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

OK

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

OK

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

zero_point__62 (Producer)
scale__69 (Producer)
scale__37 (Producer)
scale__35 (Producer)
scale__61 (Producer)
scale__59 (Producer)
scale__43 (Producer)
scale__41 (Producer)
scale__39 (Producer)
scale__47 (Producer)
scale__45 (Producer)
scale__57 (Producer)
scale__53 (Producer)
zero_point__58 (Producer)
zero_point__44 (Producer)
scale__51 (Producer)
scale__49 (Producer)
model_dense_MatMul (Producer)
model_dense_BiasAdd_ReadVariableOp_resource (Producer)
model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource (Producer)
model_conv2d_8_Conv2D (Producer)
model_conv2d_2_Conv2D (Producer)
model_conv2d_1_Conv2D (Producer)
model_conv2d_3_Conv2D (Producer)
model_conv2d_7_Conv2D (Producer)
model_conv2d_6_Conv2D (Producer)
model_conv2d_5_Conv2D (Producer)
model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource (Producer)
model_conv2d_4_Conv2D (Producer)
zero_point__46 (Producer)
zero_point__54 (Producer)
scale__67 (Producer)
scale__65 (Producer)
scale__63 (Producer)
zero_point__36 (Producer)
model_conv2d_Conv2D (Producer)
model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd (Producer)
model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resource;model_conv2d_4_BiasAdd (Producer)
model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd (Producer)
model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D (Producer)
model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_BiasAdd_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Conv2D (Producer)
model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2D (Producer)
model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D (Producer)
const_fold_opt__218 (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ZeroPoint_1 (Producer)
ScalingFactor_1 (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_2 (Producer)
ZeroPoint_2 (Producer)
model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_quantize_ClipQuantMin (Producer)
model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_Conv2D1_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_3 (Producer)
ZeroPoint_3 (Producer)
model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2D1_quantize_ClipQuantMin (Producer)
model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_conv2d_2_Conv2D;model_conv2d_1_Conv2D1_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_4 (Producer)
ZeroPoint_4 (Producer)
model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_quantize_ClipQuantMin (Producer)
model_batch_normalization_2_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_conv2d_2_Conv2D_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_5 (Producer)
ZeroPoint_5 (Producer)
model_activation_2_Relu;model_add_add_quantize_ClipQuantMin (Producer)
model_activation_2_Relu;model_add_add_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_6 (Producer)
ZeroPoint_6 (Producer)
model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_quantize_ClipQuantMin (Producer)
model_conv2d_5_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_5_BiasAdd_ReadVariableOp_resource1_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_7 (Producer)
ZeroPoint_7 (Producer)
model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_BiasAdd_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Conv2D1_quantize_ClipQuantMin (Producer)
model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_conv2d_3_BiasAdd_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_3_Conv2D1_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_8 (Producer)
ZeroPoint_8 (Producer)
model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resource;model_conv2d_4_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_4_Conv2D_quantize_ClipQuantMin (Producer)
model_batch_normalization_4_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resource;model_conv2d_4_BiasAdd;model_conv2d_5_Conv2D;model_conv2d_4_Conv2D_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_9 (Producer)
ZeroPoint_9 (Producer)
model_activation_4_Relu;model_add_1_add_quantize_ClipQuantMin (Producer)
model_activation_4_Relu;model_add_1_add_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_10 (Producer)
ZeroPoint_10 (Producer)
model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_quantize_ClipQuantMin (Producer)
model_conv2d_8_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_8_BiasAdd_ReadVariableOp_resource1_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_11 (Producer)
ZeroPoint_11 (Producer)
model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D1_quantize_ClipQuantMin (Producer)
model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_Conv2D1_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_12 (Producer)
ZeroPoint_12 (Producer)
model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_ClipQuantMin (Producer)
model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_13 (Producer)
ZeroPoint_13 (Producer)
model_activation_6_Relu;model_add_2_add_quantize_ClipQuantMin (Producer)
model_activation_6_Relu;model_add_2_add_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_14 (Producer)
ZeroPoint_14 (Producer)
model_average_pooling2d_AvgPool_quantize_ClipQuantMin (Producer)
model_average_pooling2d_AvgPool_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_15 (Producer)
ZeroPoint_15 (Producer)
model_dense_MatMul;model_dense_BiasAdd_quantize_ClipQuantMin (Producer)
model_dense_MatMul;model_dense_BiasAdd_quantize_ClipQuantMax (Producer)
ZeroPoint (Producer)
ScalingFactor (Producer)
ScalingFactor_16 (Producer)
ZeroPoint_16 (Producer)
Identity_int8_quantize_ClipQuantMin (Producer)
Identity_int8_quantize_ClipQuantMax (Producer)
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_Conv2D_1_biases (DequantizeLinear)
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_PadConv_2_biases (DequantizeLinear)
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_PadConvAct_3_biases (DequantizeLinear)
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_Transpose_0 (Transpose)
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_AddAct_0 (AddAct)
33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_
[[33mWARNING[0m]   onv2D1_quantize_MulQuant (Mul)", " (PadConvAct)",
[[33mWARNING[0m]   "model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_
[[33mWARNING[0m]   onv2D1_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_conv2d_6_Bia
[[33mWARNING[0m]   Add_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_6_
[[33mWARNING[0m]   onv2D1_quantize_ClipQuant (Clip)",
[[33mWARNING[0m]   "model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_prequant__153_Deq
[[33mWARNING[0m]   antizeLinear__251_SubDeQuant (Sub)",
[[33mWARNING[0m]   "model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_prequant__153_Deq
[[33mWARNING[0m]   antizeLinear__251_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_MulQuant
[[33mWARNING[0m]   (Mul)",
[[33mWARNING[0m]   "model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_AddQuant
[[33mWARNING[0m]   (Add)",
[[33mWARNING[0m]   "model_batch_normalization_6_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_reso
[[33mWARNING[0m]   rce;model_conv2d_7_BiasAdd;model_conv2d_8_Conv2D;model_conv2d_7_Conv2D_quantize_ClipQuan
[[33mWARNING[0m]    (Clip)", "Transpose__201_DequantizeLinear__249_SubDeQuant (Sub)",
[[33mWARNING[0m]   "Transpose__201_DequantizeLinear__249_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_activation_6_Relu;model_add_2_add_quantize_MulQuant (Mul)",
[[33mWARNING[0m]   "model_activation_6_Relu;model_add_2_add_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "model_activation_6_Relu;model_add_2_add_quantize_ClipQuant (Clip)", "Add__29 (Add)",
[[33mWARNING[0m]   "model_average_pooling2d_AvgPool_prequant__166_DequantizeLinear__241_SubDeQuant (Sub)",
[[33mWARNING[0m]   "model_average_pooling2d_AvgPool_prequant__166_DequantizeLinear__241_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_average_pooling2d_AvgPool_quantize_MulQuant (Mul)",
[[33mWARNING[0m]   "model_average_pooling2d_AvgPool_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "model_average_pooling2d_AvgPool_quantize_ClipQuant (Clip)",
[[33mWARNING[0m]   "model_flatten_Reshape_dequant_SubDeQuant (Sub)", "model_flatten_Reshape_prequant
[[33mWARNING[0m]   (Reshape)", "model_dense_MatMul;model_dense_BiasAdd_prequant (MatMul)",
[[33mWARNING[0m]   "model_flatten_Reshape_dequant_MulDeQuant (Mul)",
[[33mWARNING[0m]   "model_dense_MatMul;model_dense_BiasAdd_quantize_MulQuant (Mul)",
[[33mWARNING[0m]   "model_dense_MatMul;model_dense_BiasAdd_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "model_dense_MatMul;model_dense_BiasAdd_quantize_ClipQuant (Clip)",
[[33mWARNING[0m]   "model_dense_MatMul;model_dense_BiasAdd_dequant_SubDeQuant (Sub)",
[[33mWARNING[0m]   "model_dense_MatMul;model_dense_BiasAdd_dequant_MulDeQuant (Mul)",
[[33mWARNING[0m]   "Identity_int8_quantize_MulQuant (Mul)", "Identity_int8_quantize_AddQuant (Add)",
[[33mWARNING[0m]   "Identity_int8_quantize_ClipQuant (Clip)"].
[[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!_Cast_12 (Cast)
_Mul_9 (Mul)
_Round_3 (Round)
_Add_3 (Add)
_Clip_3 (Clip)
_Cast_13 (Cast)
_Cast_14 (Cast)
_Sub_6 (Sub)
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_Conv2D_0 (Conv2D)
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_Cast_15 (Cast)
_Cast_16 (Cast)
_Mul_11 (Mul)
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_Round_4 (Round)
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_Clip_5 (Clip)
_Cast_17 (Cast)
_Cast_18 (Cast)
_Cast_19 (Cast)
_Cast_20 (Cast)
_Sub_7 (Sub)
_Sub_8 (Sub)
_Mul_13 (Mul)
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_PadConv_1 (PadConv)
_Cast_21 (Cast)
_Mul_15 (Mul)
_Round_6 (Round)
_Add_6 (Add)
_Clip_6 (Clip)
_Cast_22 (Cast)
_Cast_23 (Cast)
_Sub_9 (Sub)
_Mul_16 (Mul)
_AddAct_1 (AddAct)
_Cast_24 (Cast)
_Mul_17 (Mul)
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_Cast_25 (Cast)
_Cast_26 (Cast)
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_Conv2D_1 (Conv2D)
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_Mul_19 (Mul)
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_Round_8 (Round)
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_Cast_31 (Cast)
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_PadConv_2 (PadConv)
_Cast_33 (Cast)
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_Cast_34 (Cast)
_Cast_35 (Cast)
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_Cast_37 (Cast)
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_Mul_26 (Mul)
_AvgPooling2D_0 (AvgPooling2D)
_Cast_39 (Cast)
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_Reshape_0 (Reshape)
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_Mul_28 (Mul)
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_Clip_14 (Clip)
_Cast_46 (Cast)

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


[[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] - 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 Resnet_int8.onnx __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 type1_test.sh type2_test.sh type3_test.sh No targets specified and no makefile found. Stop.

Report Details

report.json

null

214291 - rpi4b aidge 214293 - rpi4b aidge