Det#
Domain:
ai.onnxSince version: 22
Det calculates determinant of a square matrix or batches of square matrices.
Det takes one input tensor of shape [*, M, M], where * is zero or more batch dimensions,
and the inner-most 2 dimensions form square matrices.
The output is a tensor of shape [*], containing the determinants of all input submatrices.
e.g., When the input is 2-D, the output is a scalar(shape is empty: []).
Inputs
X (T): Input tensor
Outputs
Y (T): Output tensor
Type Constraints
T: Constrain input and output types to floating-point tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16).
Differences with previous version (11)#
SchemaDiff: Det (domain 'ai.onnx')
old version: 11
new version: 22
breaking: no
Type constraints:
changed ‘T’: added types: [‘tensor(bfloat16)’]