Codegen Operator List

This article lists the operators supported by MindSpore Lite Codegen.

Operation	CPU FP32	CPU Int8	CMSIS Int8	TensorFlow Lite operators supported	Caffe Lite operators supported	Onnx Lite operators supported	TensorFlow operators supported
Abs	✅			Abs		Abs
Add	✅	✅	✅	Add		Add, Int8Add	Add, AddV2
AddN	✅			AddN
AvgPool	✅	✅	✅	MeanPooling	Pooling	AveragePool, GlobalAveragePool, Int8AveragePool
BatchNorm		✅	✅		BatchNorm	BatchNormalization
BiasAdd	✅					BiasAdd	BiasAdd
Cast	✅	✅	✅	Cast, QUANTIZE, DEQUANTIZE		Cast	Cast
Ceil	✅			Ceil		Ceil
Concat	✅	✅	✅	Concat	Concat	Concat	ConcatV2
Conv2d	✅	✅	✅	Conv2D	Convolution	Conv, Int8Conv, ConvRelu, Int8ConvRelu	Conv2D
Cos	✅			Cos		Cos
DetectionPostProcess		✅		Custom
Div	✅	✅	✅	Div, RealDiv		Div	Div, RealDiv
Eltwise	✅				Eltwise	Sum, Max[3]
Equal	✅			Equal		Equal	Equal
ExpandDims	✅			ExpandDims			ExpandDims
Floor	✅			flOOR		Floor
FloorDiv	✅			FloorDiv
FloorMod	✅			FloorMod
FullConnection	✅	✅	✅	FullyConnected	InnerProduct
Greater	✅			Greater		Greater	Greater
GreaterEqual	✅			GreaterEqual			GreaterEqual
Less	✅			Less		Less	Less
LessEqual	✅			LessEqual			LessEqual
Log	✅			Log		Log
LogicalAnd	✅			LogicalAnd		And	LogicalAnd
LogicalNot	✅			LogicalNot		Not
LogicalOr	✅			LogicalOr		Or
MatMul	✅	✅				MatMul	MatMul
Maximum	✅			Maximum			Maximum
MaxPool	✅	✅	✅	MaxPooling	Pooling	MaxPool, GlobalMaxPool
Minimum	✅			Minimum		Min	Minimum
Mul	✅	✅	✅	Mul		Mul	Mul
Neg	✅			Neg		Neg
NotEqual	✅			NotEqual			NotEqual
ReLU	✅	✅	✅	Relu	ReLU	Relu	Relu
ReLU6	✅	✅	✅	Relu6	ReLU6	Clip[1]	Relu6
Reshape	✅	✅	✅	Reshape	Reshape	Reshape,Flatten	Reshape
Resize		✅		ResizeBilinear, NearestNeighbor	Interp
Round	✅			Round		Round	Round
Rsqrt	✅			Rsqrt
Sigmoid	✅	✅	✅	Logistic	Sigmoid	Sigmoid	Sigmoid
Sin	✅			Sin		Sin
Softmax	✅	✅	✅	Softmax	Softmax	Softmax
Sqrt	✅			Sqrt		Sqrt
Square	✅			Square
SquaredDifference	✅			SquaredDifference
Squeeze	✅			Squeeze		Squeeze	Squeeze
Sub	✅	✅	✅	Sub		Sub	Sub

[1] Clip: Only support converting clip(0, 6) to Relu6.

[2] Pow: Only support the form where the exponent is a single constant.

[3] Sum and Max: Only support 2 inputs.