支持的算子
支持的算子

Caffe

Accuracy, BatchNorm, Clip, Concat, Convolution, Data, Deconvolution, DepthwiseConvolution, DetectionOutput, Dropout, Eltwise, Flatten, InnerProduct, Input, LRN, Normalize, PReLU, Permute, Pooling, Power, PriorBox, ROIPooling, RPN, ReLU, ReLU6, Region, Reorg, Reshape, Resize, Scale, Sigmoid, Slice, Softmax, SoftmaxWithLoss, Split, TanH, Tile, Upsample


mxnet

Activation, BatchNorm, Concat, Convolution, Copy, Crop, Deconvolution, Dropout, FullyConnected, LeakyReLU, Pooling, RNN, Reshape, SoftmaxActivation, SoftmaxOutput, SwapAxis, UpSampling, _minus_scalar, _mul_scalar, add_n, clip, elemwise_add, transpose


● onnx

Add, AveragePool, BatchNormalization, Concat, Conv, Dropout, Flatten, Gemm, GlobalAveragePool, MaxPool, Relu, Softmax


Tensorflow

Add, AddN, ArgMax, ArgMin, AudioSpectrogram, AvgPool, ComposedBN, ConcatV2, Conv2D, Conv2DBackpropInput, DecodeWav, DepthwiseConv2dNative, Dropout, Exp, FIFOQueueV2, Flatten, Floor, FusedBatchNorm, GRU, LRN, LSTM, Log, MatMul, MaxPool, Maximum, Mean, Mfcc, Minimum, MirrorPad, Mul, Pad, Pow, RNN, RealDiv, Relu, Relu6, Reshape, ResizeNearestNeighbor, ReverseV2, Rsqrt, Sigmoid, Softmax, Split, Sqrt, StridedSlice, Sub, Sum, Tanh, TopKV2


tf_lite

ADD, AVERAGE_POOL_2D, CONCATENATION, CONV_2D, DEPTHWISE_CONV_2D, LOGISTIC, MAX_POOL_2D, RESHAPE, SOFTMAX, SQUEEZE, TFLite_Detection_PostProcess