Files
zeekayandHanzo Dev f84fe1fd15 snapshot slice 1
Co-authored-by: Hanzo Dev <[email protected]>
2026-07-28 15:29:05 -07:00

39 lines
1010 B
Python

# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import numpy as np
import onnx
from onnx.backend.test.case.base import Base
from onnx.backend.test.case.node import expect
class Det(Base):
@staticmethod
def export_2d() -> None:
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")
@staticmethod
def export_nd() -> None:
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")