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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.model import expect | |
class SingleSign(Base): | |
def export() -> None: | |
node = onnx.helper.make_node("Sign", ["x"], ["y"], name="test") | |
x = np.array([-1.0, 4.5, -4.5, 3.1, 0.0, 2.4, -5.5]).astype(np.float32) | |
y = np.array([-1.0, 1.0, -1.0, 1.0, 0.0, 1.0, -1.0]).astype(np.float32) | |
graph = onnx.helper.make_graph( | |
nodes=[node], | |
name="SingleSign", | |
inputs=[ | |
onnx.helper.make_tensor_value_info("x", onnx.TensorProto.FLOAT, [7]) | |
], | |
outputs=[ | |
onnx.helper.make_tensor_value_info("y", onnx.TensorProto.FLOAT, [7]) | |
], | |
) | |
model = onnx.helper.make_model_gen_version( | |
graph, | |
producer_name="backend-test", | |
opset_imports=[onnx.helper.make_opsetid("", 9)], | |
) | |
expect(model, inputs=[x], outputs=[y], name="test_sign_model") | |