Det

Det - 11

Version

• name: Det (GitHub)

• domain: main

• since_version: 11

• function:

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 11.

Summary

Inputs

• X (heterogeneous) - T:

Outputs

• Y (heterogeneous) - T:

Type Constraints

• T in ( tensor(double), tensor(float), tensor(float16) ): Constrain input and output types to floating-point tensors.

Examples

_2d

import numpy as np
import onnx

node = onnx.helper.make_node(
    "Det",
    inputs=["x"],
    outputs=["y"],
)

x = np.arange(4).reshape(2, 2).astype(np.float32)
y = np.linalg.det(x)  # expect -2
expect(node, inputs=[x], outputs=[y], name="test_det_2d")

_nd

import numpy as np
import onnx

node = onnx.helper.make_node(
    "Det",
    inputs=["x"],
    outputs=["y"],
)

x = np.array([[[1, 2], [3, 4]], [[1, 2], [2, 1]], [[1, 3], [3, 1]]]).astype(
    np.float32
)
y = np.linalg.det(x)  # expect array([-2., -3., -8.])
expect(node, inputs=[x], outputs=[y], name="test_det_nd")