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21 lines
608 B
Python
21 lines
608 B
Python
# Copyright (c) ONNX Project Contributors
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# SPDX-License-Identifier: Apache-2.0
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from __future__ import annotations
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import numpy as np
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from onnx.reference.op_run import OpRun
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class Upsample(OpRun):
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def _run(self, x, scale, mode=None):
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if mode == "nearest" and scale.astype(np.int64).tolist() == scale.tolist():
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r = x
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for axis, s in enumerate(scale):
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if s == 1:
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continue
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r = np.repeat(r, int(s), axis=axis)
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return (r,)
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raise RuntimeError(f"Not implemented for mode={mode!r} and scale={scale!r}.")
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