mirror of
https://github.com/luxfi/onnx-source-snapshot.git
synced 2026-10-30 15:23:38 +00:00
29 lines
768 B
Python
29 lines
768 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 Tanh(Base):
|
|
@staticmethod
|
|
def export() -> None:
|
|
node = onnx.helper.make_node(
|
|
"Tanh",
|
|
inputs=["x"],
|
|
outputs=["y"],
|
|
)
|
|
|
|
x = np.array([-1, 0, 1]).astype(np.float32)
|
|
y = np.tanh(x) # expected output [-0.76159418, 0., 0.76159418]
|
|
expect(node, inputs=[x], outputs=[y], name="test_tanh_example")
|
|
|
|
x = np.random.randn(3, 4, 5).astype(np.float32)
|
|
y = np.tanh(x)
|
|
expect(node, inputs=[x], outputs=[y], name="test_tanh")
|