214289 - rpi4b aidge
Summary: Test failed.
Model Details
- model name : MobileNetV1.onnx
Logs Details
user.log
MODEL : MobileNetV1.onnx
===============
ONNX Graph
===============
input_1 ['unk__335', 96, 96, 3]
===============
Aidge Graph
===============
Node(name='model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_depthwise_conv2d_depthwise;model_depthwise_conv2d_BiasAdd;model_depthwise_conv2d_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_7_Relu;model_batch_normalization_7_FusedBatchNormV3;model_depthwise_conv2d_3_depthwise;model_depthwise_conv2d_3_BiasAdd;model_depthwise_conv2d_3_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='const_fold_opt__323', optype='Producer', children: [[1]])
Node(name='Relu__68', optype='ReLU', parents: [1], children: [[1]])
Node(name='const_fold_opt__279', optype='Producer', children: [[1]])
Node(name='Relu__23', optype='ReLU', parents: [1], children: [[1]])
Node(name='Relu__65', optype='ReLU', parents: [1], children: [[1]])
Node(name='const_fold_opt__300', optype='Producer', children: [[1]])
Node(name='model_activation_6_Relu;model_batch_normalization_6_FusedBatchNormV3;model_conv2d_3_BiasAdd_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_depthwise_conv2d_3_depthwise;model_conv2d_3_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_9_Relu;model_batch_normalization_9_FusedBatchNormV3;model_depthwise_conv2d_4_depthwise;model_depthwise_conv2d_4_BiasAdd;model_depthwise_conv2d_5_depthwise;model_depthwise_conv2d_4_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_21_Relu;model_batch_normalization_21_FusedBatchNormV3;model_depthwise_conv2d_10_depthwise;model_depthwise_conv2d_10_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_10_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='const_fold_opt__295', optype='Producer', children: [[1]])
Node(name='const_fold_opt__304', optype='Producer', children: [[1]])
Node(name='Relu__62', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_18_Relu;model_batch_normalization_18_FusedBatchNormV3;model_conv2d_9_BiasAdd_ReadVariableOp_resource;model_conv2d_9_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_9_Conv2D', optype='Producer', children: [[1]])
Node(name='const_fold_opt__284', optype='Producer', children: [[1]])
Node(name='model_activation_12_Relu;model_batch_normalization_12_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_6_Conv2D', optype='Producer', children: [[1]])
Node(name='const_fold_opt__322', optype='Producer', children: [[1]])
Node(name='model_activation_9_Relu;model_batch_normalization_9_FusedBatchNormV3;model_depthwise_conv2d_4_depthwise;model_depthwise_conv2d_4_BiasAdd;model_depthwise_conv2d_5_depthwise;model_depthwise_conv2d_4_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='Relu__59', optype='ReLU', parents: [1], children: [[1]])
Node(name='const_fold_opt__303', optype='Producer', children: [[1]])
Node(name='const_fold_opt__285', optype='Producer', children: [[1]])
Node(name='Relu__56', optype='ReLU', parents: [1], children: [[1]])
Node(name='const_fold_opt__309', optype='Producer', children: [[1]])
Node(name='const_fold_opt__281', optype='Producer', children: [[1]])
Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_depthwise_conv2d_2_depthwise;model_depthwise_conv2d_2_BiasAdd;model_depthwise_conv2d_3_depthwise;model_depthwise_conv2d_2_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='Relu__53', optype='ReLU', parents: [1], children: [[1]])
Node(name='const_fold_opt__329', optype='Producer', children: [[1]])
Node(name='Relu__20', optype='ReLU', parents: [1], children: [[1]])
Node(name='const_fold_opt__334', optype='Producer', children: [[1]])
Node(name='Relu__47', optype='ReLU', parents: [1], children: [[1]])
Node(name='const_fold_opt__325', optype='Producer', children: [[1]])
Node(name='model_activation_14_Relu;model_batch_normalization_14_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_7_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_4_Relu;model_batch_normalization_4_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_depthwise_conv2d_3_depthwise;model_conv2d_2_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='Relu__50', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_6_Relu;model_batch_normalization_6_FusedBatchNormV3;model_conv2d_3_BiasAdd_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_depthwise_conv2d_3_depthwise;model_conv2d_3_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_23_Relu;model_batch_normalization_23_FusedBatchNormV3;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_11_BiasAdd;model_depthwise_conv2d_11_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='const_fold_opt__317', optype='Producer', children: [[1]])
Node(name='Relu__17', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_26_Relu;model_batch_normalization_26_FusedBatchNormV3;model_conv2d_13_BiasAdd_ReadVariableOp_resource;model_conv2d_13_BiasAdd;model_conv2d_13_Conv2D', optype='Producer', children: [[1]])
Node(name='Relu__44', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_depthwise_conv2d_1_depthwise;model_depthwise_conv2d_1_BiasAdd;model_depthwise_conv2d_1_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='const_fold_opt__324', optype='Producer', children: [[1]])
Node(name='const_fold_opt__307', optype='Producer', children: [[1]])
Node(name='const_fold_opt__308', optype='Producer', children: [[1]])
Node(name='Relu__14', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_10_Relu;model_batch_normalization_10_FusedBatchNormV3;model_conv2d_5_BiasAdd_ReadVariableOp_resource;model_conv2d_5_BiasAdd;model_depthwise_conv2d_5_depthwise;model_conv2d_5_Conv2D', optype='Producer', children: [[1]])
Node(name='const_fold_opt__312', optype='Producer', children: [[1]])
Node(name='const_fold_opt__327', optype='Producer', children: [[1]])
Node(name='model_activation_20_Relu;model_batch_normalization_20_FusedBatchNormV3;model_conv2d_10_BiasAdd_ReadVariableOp_resource;model_conv2d_10_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_10_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_2_Relu;model_batch_normalization_2_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_depthwise_conv2d_1_depthwise;model_conv2d_1_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_17_Relu;model_batch_normalization_17_FusedBatchNormV3;model_depthwise_conv2d_8_depthwise;model_depthwise_conv2d_8_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_8_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_25_Relu;model_batch_normalization_25_FusedBatchNormV3;model_depthwise_conv2d_12_depthwise;model_depthwise_conv2d_12_BiasAdd;model_conv2d_13_Conv2D;model_depthwise_conv2d_12_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='Relu__11', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_8_Relu;model_batch_normalization_8_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resource;model_conv2d_4_BiasAdd;model_depthwise_conv2d_5_depthwise;model_conv2d_4_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_16_Relu;model_batch_normalization_16_FusedBatchNormV3;model_conv2d_8_BiasAdd_ReadVariableOp_resource;model_conv2d_8_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_8_Conv2D', optype='Producer', children: [[1]])
Node(name='model_average_pooling2d_AvgPool', optype='AvgPooling2D', parents: [1], children: [[1]])
Node(name='model_flatten_Reshape', optype='Reshape', parents: [1, 1], children: [[1]])
Node(name='model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_depthwise_conv2d_1_depthwise;model_depthwise_conv2d_1_BiasAdd;model_depthwise_conv2d_1_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='Add__87', optype='Add', parents: [1, 1], children: [[1]])
Node(name='model_dense_MatMul;model_dense_BiasAdd', optype='MatMul', parents: [1, 1], children: [[1]])
Node(name='model_activation_26_Relu;model_batch_normalization_26_FusedBatchNormV3;model_conv2d_13_BiasAdd_ReadVariableOp_resource;model_conv2d_13_BiasAdd;model_conv2d_13_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='Relu__83', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_25_Relu;model_batch_normalization_25_FusedBatchNormV3;model_depthwise_conv2d_12_depthwise;model_depthwise_conv2d_12_BiasAdd;model_conv2d_13_Conv2D;model_depthwise_conv2d_12_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_depthwise_conv2d_depthwise;model_depthwise_conv2d_BiasAdd;model_depthwise_conv2d_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='const_fold_opt__306', optype='Producer', children: [[1]])
Node(name='Relu__80', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_24_Relu;model_batch_normalization_24_FusedBatchNormV3;model_conv2d_12_BiasAdd_ReadVariableOp_resource;model_conv2d_12_BiasAdd;model_conv2d_13_Conv2D;model_conv2d_12_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='const_fold_opt__310', optype='Producer', children: [[1]])
Node(name='Relu__77', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_23_Relu;model_batch_normalization_23_FusedBatchNormV3;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_11_BiasAdd;model_depthwise_conv2d_11_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='Relu__74', optype='ReLU', parents: [1], children: [[1]])
Node(name='Relu__8', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_22_Relu;model_batch_normalization_22_FusedBatchNormV3;model_conv2d_11_BiasAdd_ReadVariableOp_resource;model_conv2d_11_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_11_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='Relu__71', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_21_Relu;model_batch_normalization_21_FusedBatchNormV3;model_depthwise_conv2d_10_depthwise;model_depthwise_conv2d_10_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_10_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='model_activation_14_Relu;model_batch_normalization_14_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_7_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_20_Relu;model_batch_normalization_20_FusedBatchNormV3;model_conv2d_10_BiasAdd_ReadVariableOp_resource;model_conv2d_10_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_10_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_19_Relu;model_batch_normalization_19_FusedBatchNormV3;model_depthwise_conv2d_9_depthwise;model_depthwise_conv2d_9_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_9_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='Relu__26', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_depthwise_conv2d_depthwise;model_conv2d_Conv2D1', optype='PaddedConv2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='model_activation_18_Relu;model_batch_normalization_18_FusedBatchNormV3;model_conv2d_9_BiasAdd_ReadVariableOp_resource;model_conv2d_9_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_9_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_17_Relu;model_batch_normalization_17_FusedBatchNormV3;model_depthwise_conv2d_8_depthwise;model_depthwise_conv2d_8_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_8_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='model_activation_16_Relu;model_batch_normalization_16_FusedBatchNormV3;model_conv2d_8_BiasAdd_ReadVariableOp_resource;model_conv2d_8_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_8_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_15_Relu;model_batch_normalization_15_FusedBatchNormV3;model_depthwise_conv2d_7_depthwise;model_depthwise_conv2d_7_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_7_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='model_activation_13_Relu;model_batch_normalization_13_FusedBatchNormV3;model_depthwise_conv2d_6_depthwise;model_depthwise_conv2d_6_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_6_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='Relu__5', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_2_Relu;model_batch_normalization_2_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_depthwise_conv2d_1_depthwise;model_conv2d_1_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_8_Relu;model_batch_normalization_8_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resource;model_conv2d_4_BiasAdd;model_depthwise_conv2d_5_depthwise;model_conv2d_4_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_22_Relu;model_batch_normalization_22_FusedBatchNormV3;model_conv2d_11_BiasAdd_ReadVariableOp_resource;model_conv2d_11_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_11_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_19_Relu;model_batch_normalization_19_FusedBatchNormV3;model_depthwise_conv2d_9_depthwise;model_depthwise_conv2d_9_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_9_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='const_fold_opt__274', optype='Producer', children: [[1]])
Node(name='model_activation_13_Relu;model_batch_normalization_13_FusedBatchNormV3;model_depthwise_conv2d_6_depthwise;model_depthwise_conv2d_6_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_6_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_11_Relu;model_batch_normalization_11_FusedBatchNormV3;model_depthwise_conv2d_5_depthwise;model_depthwise_conv2d_5_BiasAdd;model_depthwise_conv2d_5_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='const_fold_opt__315', optype='Producer', children: [[1]])
Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_depthwise_conv2d_depthwise;model_conv2d_Conv2D1__89', optype='Transpose', parents: [0], children: [[1]])
Node(name='model_activation_15_Relu;model_batch_normalization_15_FusedBatchNormV3;model_depthwise_conv2d_7_depthwise;model_depthwise_conv2d_7_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_7_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_dense_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='Identity', optype='Softmax', parents: [1], children: [[]])
Node(name='model_activation_4_Relu;model_batch_normalization_4_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_depthwise_conv2d_3_depthwise;model_conv2d_2_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_12_Relu;model_batch_normalization_12_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_6_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='Relu__32', optype='ReLU', parents: [1], children: [[1]])
Node(name='const_fold_opt__326', optype='Producer', children: [[1]])
Node(name='const_fold_opt__318', optype='Producer', children: [[1]])
Node(name='model_activation_7_Relu;model_batch_normalization_7_FusedBatchNormV3;model_depthwise_conv2d_3_depthwise;model_depthwise_conv2d_3_BiasAdd;model_depthwise_conv2d_3_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='Relu__41', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_10_Relu;model_batch_normalization_10_FusedBatchNormV3;model_conv2d_5_BiasAdd_ReadVariableOp_resource;model_conv2d_5_BiasAdd;model_depthwise_conv2d_5_depthwise;model_conv2d_5_Conv2D1', optype='Conv2D', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_depthwise_conv2d_depthwise;model_conv2d_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_24_Relu;model_batch_normalization_24_FusedBatchNormV3;model_conv2d_12_BiasAdd_ReadVariableOp_resource;model_conv2d_12_BiasAdd;model_conv2d_13_Conv2D;model_conv2d_12_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_11_Relu;model_batch_normalization_11_FusedBatchNormV3;model_depthwise_conv2d_5_depthwise;model_depthwise_conv2d_5_BiasAdd;model_depthwise_conv2d_5_BiasAdd_ReadVariableOp_resource1', optype='PaddedConvDepthWise2D', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='const_fold_opt__333', optype='Producer', children: [[1]])
Node(name='Relu__29', optype='ReLU', parents: [1], children: [[1]])
Node(name='Relu__35', optype='ReLU', parents: [1], children: [[1]])
Node(name='const_fold_opt__328', optype='Producer', children: [[1]])
Node(name='Relu__38', optype='ReLU', parents: [1], children: [[1]])
Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_depthwise_conv2d_2_depthwise;model_depthwise_conv2d_2_BiasAdd;model_depthwise_conv2d_3_depthwise;model_depthwise_conv2d_2_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='const_fold_opt__320', optype='Producer', children: [[1]])
===============
Supported nodes
===============
Native operators: 117 (11 types)
- Add: 1
- AvgPooling2D: 1
- Conv2D: 13
- MatMul: 1
- PaddedConv2D: 1
- PaddedConvDepthWise2D: 13
- Producer: 57
- ReLU: 27
- Reshape: 1
- Softmax: 1
- Transpose: 1
Generic operators: 0 (0 types)
Native types coverage: 100.0% (11/11)
Native operators coverage: 100.0% (117/117)
(defaultdict(<class 'int'>, {'Producer': 57, 'Softmax': 1, 'PaddedConvDepthWise2D': 13, 'ReLU': 27, 'Conv2D': 13, 'AvgPooling2D': 1, 'Add': 1, 'MatMul': 1, 'Reshape': 1, 'PaddedConv2D': 1, 'Transpose': 1}), defaultdict(<class 'int'>, {}))
===============\Graph manipulation
===============
Remove flatten
Fuse batchnorm
Expand metaop
Fuse to metaop
===============
New Aidge Graph
===============
Node(name='model_activation_9_Relu;model_batch_normalization_9_FusedBatchNormV3;model_depthwise_conv2d_4_depthwise;model_depthwise_conv2d_4_BiasAdd;model_depthwise_conv2d_5_depthwise;model_depthwise_conv2d_4_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='Identity', optype='Softmax', parents: [1], children: [[]])
Node(name='const_fold_opt__274', optype='Producer', children: [[1]])
Node(name='model_activation_25_Relu;model_batch_normalization_25_FusedBatchNormV3;model_depthwise_conv2d_12_depthwise;model_depthwise_conv2d_12_BiasAdd;model_conv2d_13_Conv2D;model_depthwise_conv2d_12_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='const_fold_opt__284', optype='Producer', children: [[1]])
Node(name='const_fold_opt__279', optype='Producer', children: [[1]])
Node(name='const_fold_opt__334', optype='Producer', children: [[1]])
Node(name='model_activation_22_Relu;model_batch_normalization_22_FusedBatchNormV3;model_conv2d_11_BiasAdd_ReadVariableOp_resource;model_conv2d_11_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_11_Conv2D', optype='Producer', children: [[1]])
Node(name='const_fold_opt__285', optype='Producer', children: [[1]])
Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_depthwise_conv2d_depthwise;model_conv2d_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_1_Relu;model_batch_normalization_1_FusedBatchNormV3;model_depthwise_conv2d_depthwise;model_depthwise_conv2d_BiasAdd;model_depthwise_conv2d_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_12_Relu;model_batch_normalization_12_FusedBatchNormV3;model_conv2d_6_BiasAdd_ReadVariableOp_resource;model_conv2d_6_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_6_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_10_Relu;model_batch_normalization_10_FusedBatchNormV3;model_conv2d_5_BiasAdd_ReadVariableOp_resource;model_conv2d_5_BiasAdd;model_depthwise_conv2d_5_depthwise;model_conv2d_5_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_23_Relu;model_batch_normalization_23_FusedBatchNormV3;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_11_BiasAdd;model_depthwise_conv2d_11_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='const_fold_opt__300', optype='Producer', children: [[1]])
Node(name='model_activation_16_Relu;model_batch_normalization_16_FusedBatchNormV3;model_conv2d_8_BiasAdd_ReadVariableOp_resource;model_conv2d_8_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_8_Conv2D', optype='Producer', children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='const_fold_opt__307', optype='Producer', children: [[1]])
Node(name='const_fold_opt__308', optype='Producer', children: [[1]])
Node(name='model_activation_21_Relu;model_batch_normalization_21_FusedBatchNormV3;model_depthwise_conv2d_10_depthwise;model_depthwise_conv2d_10_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_10_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_4_Relu;model_batch_normalization_4_FusedBatchNormV3;model_conv2d_2_BiasAdd_ReadVariableOp_resource;model_conv2d_2_BiasAdd;model_depthwise_conv2d_3_depthwise;model_conv2d_2_Conv2D', optype='Producer', children: [[1]])
Node(name='const_fold_opt__306', optype='Producer', children: [[1]])
Node(name='model_dense_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_6_Relu;model_batch_normalization_6_FusedBatchNormV3;model_conv2d_3_BiasAdd_ReadVariableOp_resource;model_conv2d_3_BiasAdd;model_depthwise_conv2d_3_depthwise;model_conv2d_3_Conv2D', optype='Producer', children: [[1]])
Node(name='const_fold_opt__309', optype='Producer', children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='const_fold_opt__333', optype='Producer', children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='const_fold_opt__329', optype='Producer', children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='', optype='PadConvAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='model_flatten_Reshape', optype='Reshape', parents: [1, 1], children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_Relu;model_batch_normalization_FusedBatchNormV3;model_conv2d_BiasAdd_ReadVariableOp_resource;model_conv2d_BiasAdd;model_depthwise_conv2d_depthwise;model_conv2d_Conv2D1__89', optype='Transpose', parents: [0], children: [[1]])
Node(name='model_activation_26_Relu;model_batch_normalization_26_FusedBatchNormV3;model_conv2d_13_BiasAdd_ReadVariableOp_resource;model_conv2d_13_BiasAdd;model_conv2d_13_Conv2D', optype='Producer', children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='model_activation_24_Relu;model_batch_normalization_24_FusedBatchNormV3;model_conv2d_12_BiasAdd_ReadVariableOp_resource;model_conv2d_12_BiasAdd;model_conv2d_13_Conv2D;model_conv2d_12_Conv2D', optype='Producer', children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_17_Relu;model_batch_normalization_17_FusedBatchNormV3;model_depthwise_conv2d_8_depthwise;model_depthwise_conv2d_8_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_8_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='model_activation_2_Relu;model_batch_normalization_2_FusedBatchNormV3;model_conv2d_1_BiasAdd_ReadVariableOp_resource;model_conv2d_1_BiasAdd;model_depthwise_conv2d_1_depthwise;model_conv2d_1_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_18_Relu;model_batch_normalization_18_FusedBatchNormV3;model_conv2d_9_BiasAdd_ReadVariableOp_resource;model_conv2d_9_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_9_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_15_Relu;model_batch_normalization_15_FusedBatchNormV3;model_depthwise_conv2d_7_depthwise;model_depthwise_conv2d_7_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_7_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_14_Relu;model_batch_normalization_14_FusedBatchNormV3;model_conv2d_7_BiasAdd_ReadVariableOp_resource;model_conv2d_7_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_7_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_11_Relu;model_batch_normalization_11_FusedBatchNormV3;model_depthwise_conv2d_5_depthwise;model_depthwise_conv2d_5_BiasAdd;model_depthwise_conv2d_5_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='const_fold_opt__310', optype='Producer', children: [[1]])
Node(name='model_activation_5_Relu;model_batch_normalization_5_FusedBatchNormV3;model_depthwise_conv2d_2_depthwise;model_depthwise_conv2d_2_BiasAdd;model_depthwise_conv2d_3_depthwise;model_depthwise_conv2d_2_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_3_Relu;model_batch_normalization_3_FusedBatchNormV3;model_depthwise_conv2d_1_depthwise;model_depthwise_conv2d_1_BiasAdd;model_depthwise_conv2d_1_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_19_Relu;model_batch_normalization_19_FusedBatchNormV3;model_depthwise_conv2d_9_depthwise;model_depthwise_conv2d_9_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_9_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='model_activation_13_Relu;model_batch_normalization_13_FusedBatchNormV3;model_depthwise_conv2d_6_depthwise;model_depthwise_conv2d_6_BiasAdd;model_depthwise_conv2d_11_depthwise;model_depthwise_conv2d_6_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='const_fold_opt__312', optype='Producer', children: [[1]])
Node(name='const_fold_opt__303', optype='Producer', children: [[1]])
Node(name='const_fold_opt__315', optype='Producer', children: [[1]])
Node(name='const_fold_opt__295', optype='Producer', children: [[1]])
Node(name='const_fold_opt__304', optype='Producer', children: [[1]])
Node(name='const_fold_opt__281', optype='Producer', children: [[1]])
Node(name='model_average_pooling2d_AvgPool', optype='AvgPooling2D', parents: [1], children: [[1]])
Node(name='Add__87', optype='Add', parents: [1, 1], children: [[1]])
Node(name='const_fold_opt__317', optype='Producer', children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='model_dense_MatMul;model_dense_BiasAdd', optype='MatMul', parents: [1, 1], children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='model_activation_7_Relu;model_batch_normalization_7_FusedBatchNormV3;model_depthwise_conv2d_3_depthwise;model_depthwise_conv2d_3_BiasAdd;model_depthwise_conv2d_3_BiasAdd_ReadVariableOp_resource', optype='Producer', children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='', optype='PadConvDwAct', parents: [1, 1, 1, 0, 0, 0], children: [[1]])
Node(name='const_fold_opt__318', optype='Producer', children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='model_activation_8_Relu;model_batch_normalization_8_FusedBatchNormV3;model_conv2d_4_BiasAdd_ReadVariableOp_resource;model_conv2d_4_BiasAdd;model_depthwise_conv2d_5_depthwise;model_conv2d_4_Conv2D', optype='Producer', children: [[1]])
Node(name='model_activation_20_Relu;model_batch_normalization_20_FusedBatchNormV3;model_conv2d_10_BiasAdd_ReadVariableOp_resource;model_conv2d_10_BiasAdd;model_depthwise_conv2d_11_depthwise;model_conv2d_10_Conv2D', optype='Producer', children: [[1]])
Node(name='const_fold_opt__323', optype='Producer', children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='', optype='ConvAct', parents: [1, 1, 1], children: [[1]])
Node(name='const_fold_opt__322', optype='Producer', children: [[1]])
Node(name='const_fold_opt__326', optype='Producer', children: [[1]])
Node(name='const_fold_opt__324', optype='Producer', children: [[1]])
Node(name='const_fold_opt__327', optype='Producer', children: [[1]])
Node(name='const_fold_opt__328', optype='Producer', children: [[1]])
Node(name='const_fold_opt__325', optype='Producer', children: [[1]])
Node(name='const_fold_opt__320', optype='Producer', children: [[1]])
===============
Supported nodes 2
===============
Native operators: 90 (10 types)
- Add: 1
- AvgPooling2D: 1
- ConvAct: 13
- MatMul: 1
- PadConvAct: 1
- PadConvDwAct: 13
- Producer: 57
- Reshape: 1
- Softmax: 1
- Transpose: 1
Generic operators: 0 (0 types)
Native types coverage: 100.0% (10/10)
Native operators coverage: 100.0% (90/90)
(defaultdict(<class 'int'>, {'Producer': 57, 'Softmax': 1, 'PadConvDwAct': 13, 'ConvAct': 13, 'PadConvAct': 1, 'AvgPooling2D': 1, 'Add': 1, 'Transpose': 1, 'Reshape': 1, 'MatMul': 1}), defaultdict(<class 'int'>, {}))
===============
Supported nodes
===============
Native operators: 90 (10 types)
- Add: 1
- AvgPooling2D: 1
- ConvAct: 13
- MatMul: 1
- PadConvAct: 1
- PadConvDwAct: 13
- Producer: 57
- Reshape: 1
- Softmax: 1
- Transpose: 1
Generic operators: 0 (0 types)
Native types coverage: 100.0% (10/10)
Native operators coverage: 100.0% (90/90)
(defaultdict(<class 'int'>, {'Producer': 57, 'AvgPooling2D': 1, 'Add': 1, 'Softmax': 1, 'PadConvDwAct': 13, 'ConvAct': 13, 'MatMul': 1, 'PadConvAct': 1, 'Transpose': 1, 'Reshape': 1}), defaultdict(<class 'int'>, {}))
===============
Compile
===============
OK
===============
Create Scheduler
===============
OK
===============
Name nodes
===============
_PadConvDwAct_2_biases (Producer)
_ConvAct_8_biases (Producer)
_PadConvDwAct_8_biases (Producer)
_ConvAct_11_biases (Producer)
_PadConvDwAct_4_weights (Producer)
_PadConvDwAct_3_weights (Producer)
_ConvAct_9_weights (Producer)
_PadConvDwAct_6_weights (Producer)
_PadConvDwAct_10_weights (Producer)
_ConvAct_2_biases (Producer)
_PadConvDwAct_3_biases (Producer)
_PadConvDwAct_10_biases (Producer)
_ConvAct_1_biases (Producer)
_ConvAct_7_biases (Producer)
_ConvAct_12_biases (Producer)
_PadConvDwAct_11_biases (Producer)
_ConvAct_5_biases (Producer)
_ConvAct_4_biases (Producer)
_PadConvDwAct_0_biases (Producer)
_PadConvAct_0_biases (Producer)
_PadConvDwAct_2_weights (Producer)
_ConvAct_12_weights (Producer)
_ConvAct_0_weights (Producer)
_ConvAct_1_weights (Producer)
_PadConvDwAct_11_weights (Producer)
_ConvAct_2_weights (Producer)
_ConvAct_5_weights (Producer)
_ConvAct_4_weights (Producer)
_ConvAct_11_weights (Producer)
const_fold_opt__295 (Producer)
_PadConvDwAct_7_weights (Producer)
_PadConvDwAct_5_weights (Producer)
_ConvAct_10_weights (Producer)
_ConvAct_6_weights (Producer)
_PadConvDwAct_12_weights (Producer)
_PadConvDwAct_8_weights (Producer)
_PadConvDwAct_1_weights (Producer)
_PadConvDwAct_0_weights (Producer)
_ConvAct_8_weights (Producer)
const_fold_opt__284 (Producer)
_ConvAct_3_weights (Producer)
_PadConvAct_0_weights (Producer)
_PadConvDwAct_9_weights (Producer)
_PadConvDwAct_4_biases (Producer)
model_dense_BiasAdd_ReadVariableOp_resource (Producer)
_ConvAct_0_biases (Producer)
_PadConvDwAct_7_biases (Producer)
_ConvAct_6_biases (Producer)
_PadConvDwAct_5_biases (Producer)
_ConvAct_7_weights (Producer)
_PadConvDwAct_6_biases (Producer)
_PadConvDwAct_1_biases (Producer)
_PadConvDwAct_9_biases (Producer)
_PadConvDwAct_12_biases (Producer)
_ConvAct_10_biases (Producer)
_ConvAct_9_biases (Producer)
_ConvAct_3_biases (Producer)
_Transpose_0 (Transpose)
_PadConvAct_0 (PadConvAct)
_PadConvDwAct_0 (PadConvDwAct)
_ConvAct_0 (ConvAct)
_PadConvDwAct_1 (PadConvDwAct)
_ConvAct_1 (ConvAct)
_PadConvDwAct_2 (PadConvDwAct)
_ConvAct_2 (ConvAct)
_PadConvDwAct_3 (PadConvDwAct)
_ConvAct_3 (ConvAct)
_PadConvDwAct_4 (PadConvDwAct)
_ConvAct_4 (ConvAct)
_PadConvDwAct_5 (PadConvDwAct)
_ConvAct_5 (ConvAct)
_PadConvDwAct_6 (PadConvDwAct)
_ConvAct_6 (ConvAct)
_PadConvDwAct_7 (PadConvDwAct)
_ConvAct_7 (ConvAct)
_PadConvDwAct_8 (PadConvDwAct)
_ConvAct_8 (ConvAct)
_PadConvDwAct_9 (PadConvDwAct)
_ConvAct_9 (ConvAct)
_PadConvDwAct_10 (PadConvDwAct)
_ConvAct_10 (ConvAct)
_PadConvDwAct_11 (PadConvDwAct)
_ConvAct_11 (ConvAct)
_PadConvDwAct_12 (PadConvDwAct)
_ConvAct_12 (ConvAct)
_AvgPooling2D_0 (AvgPooling2D)
_Reshape_0 (Reshape)
_MatMul_0 (MatMul)
_Add_0 (Add)
_Softmax_0 (Softmax)
===============
Set backend
===============
OK
===============
Set data format to NHWC if needed
===============
Is Layout fragil: True
⚠️ Keeping model in NCHW (layout fragile)
OK
===============
Forward dims
===============
===============
Regenerate scheduler
===============
OK
===============
Export model
===============
[[94mNOTICE[0m] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes precedence
[[33mWARNING[0m] - Reshape_Op: unable to forwardDims() because output dims are data dependent on input#1
[[94mNOTICE[0m] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes precedence
[[33mWARNING[0m] - Reshape_Op: unable to forwardDims() because output dims are data dependent on input#1
[[33mWARNING[0m] - Unable to forward dimensions (circular dependency and/or wrong dimensions and/or data
[[33mWARNING[0m] dependent dimension?). Unable to compute output dims for nodes ["model_flatten_Reshape
[[33mWARNING[0m] (Reshape)", "model_dense_MatMul;model_dense_BiasAdd (MatMul)", "Add__87 (Add)"].
[[31mERROR[0m] - Wrong input size ([1, 48, 10, 50]) for ConvDepthWise operator. Expected dims are [x, 8, x,
[[31mERROR[0m] x].
[[31mERROR[0m] - Wrong input size ([1, 48, 10, 50]) for ConvDepthWise operator. Expected dims are [x, 8, x,
[[31mERROR[0m] x].
[[33mWARNING[0m] - Unable to forward dimensions (circular dependency and/or wrong dimensions and/or data
[[33mWARNING[0m] dependent dimension?). Unable to compute output dims for nodes [" (ConvDepthWise2D)"].
[[33mWARNING[0m] - Unable to forward dimensions (circular dependency and/or wrong dimensions and/or data
[[33mWARNING[0m] dependent dimension?). Unable to compute output dims for nodes [" (PadConvDw)"].
[[33mWARNING[0m] - Unable to forward dimensions (circular dependency and/or wrong dimensions and/or data
[[33mWARNING[0m] dependent dimension?). Unable to compute output dims for nodes ["_PadConvDwAct_4
[[33mWARNING[0m] (PadConvDwAct)", "_ConvAct_11 (ConvAct)", "_ConvAct_12 (ConvAct)", "_PadConvDwAct_7
[[33mWARNING[0m] (PadConvDwAct)", "_PadConvDwAct_8 (PadConvDwAct)", "_PadConvDwAct_0 (PadConvDwAct)",
[[33mWARNING[0m] "_PadConvDwAct_3 (PadConvDwAct)", "_ConvAct_5 (ConvAct)", "_ConvAct_4 (ConvAct)",
[[33mWARNING[0m] "_PadConvDwAct_2 (PadConvDwAct)", "_PadConvDwAct_6 (PadConvDwAct)", "_PadConvDwAct_1
[[33mWARNING[0m] (PadConvDwAct)", "_PadConvDwAct_12 (PadConvDwAct)", "_PadConvDwAct_5 (PadConvDwAct)",
[[33mWARNING[0m] "_PadConvDwAct_10 (PadConvDwAct)", "_PadConvDwAct_11 (PadConvDwAct)", "_ConvAct_7
[[33mWARNING[0m] (ConvAct)", "_ConvAct_2 (ConvAct)", "_ConvAct_10 (ConvAct)", "_ConvAct_6 (ConvAct)",
[[33mWARNING[0m] "_Reshape_0 (Reshape)", "_PadConvDwAct_9 (PadConvDwAct)", "_ConvAct_1 (ConvAct)",
[[33mWARNING[0m] "_ConvAct_0 (ConvAct)", "_ConvAct_9 (ConvAct)", "_ConvAct_8 (ConvAct)", "_ConvAct_3
[[33mWARNING[0m] (ConvAct)", "_MatMul_0 (MatMul)", "_Add_0 (Add)"].
[[31mERROR[0m] - Assertion failed: requiredSize.type == Elts_t::Data in /opt/aidge/aidge/aidge_core/src/scheduler/SequentialScheduler.cpp:786
[[95mFATAL[0m] - Cannot generate memory with token-based producer-consumer model for node
[[95mFATAL[0m] _PadConvDwAct_0__3 (of type Transpose). You may need to forward dimensions in the graph
[[95mFATAL[0m] first.
Traceback (most recent call last):
File "/app/AI_Project/01_generate_cpp.py", line 169, in <module>
aidge_core.export_utils.scheduler_export(
File "/opt/venv/lib/python3.10/site-packages/aidge_core/export_utils/scheduler_export.py", line 79, in scheduler_export
peak_mem, mem_info = memory_manager(scheduler, **memory_manager_args)
File "/opt/venv/lib/python3.10/site-packages/aidge_core/mem_info.py", line 306, in generate_optimized_memory_info
mem_manager = scheduler.generate_memory(
RuntimeError: Cannot generate memory with token-based producer-consumer model for node _PadConvDwAct_0__3 (of type Transpose). You may need to forward dimensions in the graph first.
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
make: AI_Build AI_Deploy AI_Manager AI_Project AI_Support ConvNet.onnx MLP_MNIST.onnx MobileNet-v2.onnx MobileNetV1.onnx README.md __pycache__ config.json docker examples exit_functions.sh export_model 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
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