Files
2024-10-30 22:14:35 +01:00

23 lines
580 B
Python

# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import numpy as np
from onnx.reference.ops._op import OpRunUnaryNum
class Hardmax(OpRunUnaryNum):
def _run(self, x, axis=None): # type: ignore
axis = axis or self.axis # type: ignore
x_argmax = np.argmax(x, axis=axis) # type: ignore
y = np.zeros_like(x)
np.put_along_axis(
y,
np.expand_dims(x_argmax, axis=axis),
1,
axis=axis, # type: ignore
)
return (y,)