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# Copyright (c) ONNX Project Contributors | |
# | |
# SPDX-License-Identifier: Apache-2.0 | |
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): | |
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") | |
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") | |