52 lines
1.5 KiB
Python
52 lines
1.5 KiB
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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from onnx.reference.op_run import OpRun
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class CommonSplit(OpRun):
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def __init__(self, onnx_node, run_params):
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OpRun.__init__(self, onnx_node, run_params)
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self.n_outputs = len(onnx_node.output)
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def common_run(self, mat, split, axis, num_outputs):
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n_outputs = num_outputs or self.n_outputs
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if split is None:
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if mat.shape[axis] % n_outputs == 0:
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div = mat.shape[axis] // n_outputs
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split = [div] * n_outputs
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else:
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div = mat.shape[axis] // n_outputs + 1
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split = [div] * n_outputs
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split[-1] += mat.shape[axis] - sum(split)
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sli = [slice(0, s) for s in mat.shape]
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res = []
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pos = 0
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for spl in split:
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sli[axis] = slice(pos, pos + spl)
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pos += spl
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res.append(mat[tuple(sli)])
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return tuple(res)
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class Split_2(CommonSplit):
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def _run(self, mat, axis=None, split=None):
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return self.common_run(mat, split, axis=axis, num_outputs=None)
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class Split_11(Split_2):
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pass
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class Split_13(CommonSplit):
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def _run(self, mat, split=None, axis=None):
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return self.common_run(mat, split, axis=axis, num_outputs=None)
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class Split_18(CommonSplit):
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def _run(self, mat, split=None, axis=None, num_outputs=None):
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return self.common_run(mat, split, axis=axis, num_outputs=num_outputs)
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