mirror of
https://github.com/luxfi/onnx-source-snapshot.git
synced 2026-10-30 15:23:38 +00:00
39 lines
1010 B
Python
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")
|