Onnx Model for Image Classification and the Ops They Include

Model\Ops	Conv	Relu	LRN	MaxPool	Reshape	Gemm	Dropout	Softmax	BatchNormalization	Unsqueeze	Mul	Add	Concat	AveragePool	GlobalAveragePool	Transpose	Sum
AlexNet	✓ (1)	✓	✓	✓	✓	✓	✓	✓
CaffeNet	✓ (1)	✓	✓	✓	✓	✓	✓	✓
DenseNet-121	✓	✓		✓					✓	✓	✓	✓	✓	✓	✓
GoogleNet	✓	✓	✓	✓	✓	✓	✓	✓					✓	✓
Inception v1	✓	✓	✓	✓	✓	✓	✓	✓					✓	✓ (2)
Inception v2	✓	✓		✓	✓	✓		✓	✓	✓	✓	✓	✓	✓
MobileNet v2-1.0	✓	✓			✓				✓			✓			✓
R-CNN ILSVRC13	✓ (1)	✓	✓	✓	✓	✓	✓
ResNet-152v1	✓	✓		✓		✓			✓			✓			✓
ResNet-152v2	✓	✓		✓	✓	✓			✓			✓			✓
ShuffleNet	✓ (1)	✓		✓	✓	✓		✓	✓				✓	✓		✓	✓
SqueezeNet	✓	✓		✓			✓	✓					✓		✓
ZFNet-512	✓	✓	✓	✓	✓	✓		✓
VGG w/ bn	✓	✓		✓		✓	✓		✓

1. Some of the convolutions are "group convolution"
2. Some of the Average Pooling contain unequal padding