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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 ShrinkTest(Base):
@staticmethod
def export() -> None:
node = onnx.helper.make_node(
"Shrink",
["x"],
["y"],
lambd=1.5,
bias=1.5,
)
graph = onnx.helper.make_graph(
nodes=[node],
name="Shrink",
inputs=[
onnx.helper.make_tensor_value_info("x", onnx.TensorProto.FLOAT, [5])
],
outputs=[
onnx.helper.make_tensor_value_info("y", onnx.TensorProto.FLOAT, [5])
],
)
model = onnx.helper.make_model_gen_version(
graph,
producer_name="backend-test",
opset_imports=[onnx.helper.make_opsetid("", 10)],
)
x = np.array([-2.0, -1.0, 0.0, 1.0, 2.0], dtype=np.float32)
y = np.array([-0.5, 0.0, 0.0, 0.0, 0.5], dtype=np.float32)
expect(model, inputs=[x], outputs=[y], name="test_shrink")
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