matmul.md

WebNN	matmul	a	b	output
NNAPI	ANEURALNETWORKS_FULLY_CONNECTED	if N > 3, reshape (ANEURALNETWORKS_RESHAPE) to 3-D tensor. if N == 3, slice (ANEURALNETWORKS_RESHAPE) to 2-D tensors along axis 0. Use inputs[0] of ANEURALNETWORKS_FULLY_CONNECTED	if N > 3, reshape (ANEURALNETWORKS_RESHAPE) to 3-D tensor. if N == 3, slice (ANEURALNETWORKS_RESHAPE) to 2-D tensors along left axis. Transpose the tensor (ANEURALNETWORKS_TRANSPOSE). Use inputs[1] of ANEURALNETWORKS_FULLY_CONNECTED	As ANEURALNETWORKS_FULLY_CONNECTED output is 2-D, need to reshape (ANEURALNETWORKS_RESHAPE) to 3-D tensors, concat (ANEURALNETWORKS_CONCATENATION) along axis 9 and reshape (ANEURALNETWORKS_RESHAPE) to N-D.
DirectML	DML_GEMM_OPERATOR_DESC when: DML_GEMM_OPERATOR_DESC::Alpha == 1.0, DML_GEMM_OPERATOR_DESC::Beta == 0, DML_GEMM_OPERATOR_DESC::TransA == DML_MATRIX_TRANSFORM_NONE, DML_GEMM_OPERATOR_DESC::TransB == DML_MATRIX_TRANSFORM_NONE, DML_GEMM_OPERATOR_DESC::CTensor == null	ATensor of DML_GEMM_OPERATOR_DESC	BTensor of DML_GEMM_OPERATOR_DESC	OutputTensor of DML_GEMM_OPERATOR_DESC
MPS	MPSNDArrayMatrixMultiplication or MPSMatrixMultiplication or MPSCNNFullyConnected?
BNNS	BNNSFilterCreateFullyConnectedLayer or vDSP_mmul?
DNNL	matmul	f N > 3, reorder to 3-D tensor. Use DNNL_ARG_SRC of matmul primitive.	If N > 3, reorder to 3-D tensor. Use DNNL_ARG_WEIGHTS of matmul primitive.	Use DNNL_ARG_DST of matmul primitive. If N > 3, need to reorder to N-D.
ONNX	MatMul	A	B	Y

References:

• NNAPI: TF-Lite converter unroll_batch_matmul.cc and resolve_tensorflow_matmul.cc

Opens:

• NNAPI: for N-D output when N >2, is it correct to map TF-Lite Pack op to NNAPI ANEURALNETWORKS_RESHAPE and ANEURALNETWORKS_CONCATENATION ops?
• MPS: which is the right op to map?
• BNNS: which is the right op to map?