MatMul - version 9#
This page documents version 9 of operator MatMul. See MatMul for the latest version (since version 13).
Domain:
ai.onnxSince version: 9
Matrix product that behaves like numpy.matmul.
Inputs
A (T): N-dimensional matrix A
B (T): N-dimensional matrix B
Outputs
Y (T): Matrix multiply results from A * B
Type Constraints
T: Constrain input and output types to float/int tensors. Allowed types: tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64).
Differences with previous version (1)#
SchemaDiff: MatMul (domain 'ai.onnx')
old version: 1
new version: 9
breaking: no
Type constraints:
changed ‘T’: added types: [‘tensor(int32)’, ‘tensor(int64)’, ‘tensor(uint32)’, ‘tensor(uint64)’]