76 lines
2.9 KiB
Python
76 lines
2.9 KiB
Python
"""
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Copyright (C) 2017-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import numpy as np
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op, PermuteAttrs
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class GatherElements(Op):
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op = 'GatherElements'
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'op': self.op,
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'type': self.op,
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'version': 'opset6',
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'infer': self.infer,
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'in_ports_count': 2,
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'out_ports_count': 1,
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'axis': 0,
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}, attrs)
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def backend_attrs(self):
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return ['axis']
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@staticmethod
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def infer(node: Node):
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data_shape = node.in_port(0).data.get_shape()
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indices_shape = node.in_port(1).data.get_shape()
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axis = node.axis
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data_rank = len(data_shape)
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assert data_rank >= 1, 'data_rank must be >= 1'
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assert data_rank == len(indices_shape), 'data and indices inputs for node {} must be of the ' \
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'same rank. Instead got {} and {}'.\
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format(node.name, data_rank, len(indices_shape))
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assert -data_rank <= axis < data_rank, 'axis for node {0} must be within interval ' \
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'[-{1}}, {1} - 1]. Instead got: axis={2}'.\
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format(node.name, data_rank, axis)
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if axis < 0:
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axis += data_rank
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for idx, (data_sz, ind_sz) in enumerate(zip(data_shape, indices_shape)):
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if idx != axis and data_sz != ind_sz:
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raise ValueError('Sizes along axis {} for node {} do not match. data and indices must have '
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'equal size along all axes except for axis {}'.format(idx, node.name, axis))
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data = node.in_port(0).data.get_value()
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indices = node.in_port(1).data.get_value()
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if data is not None and indices is not None:
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out_value = np.empty(indices_shape, dtype=data.dtype)
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for idx in np.ndindex(*indices_shape):
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data_idx = list(idx)
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data_idx[node.axis] = indices[idx]
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out_value[idx] = data[tuple(data_idx)]
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node.out_port(0).data.set_value(out_value)
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else:
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node.out_port(0).data.set_shape(indices_shape)
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PermuteAttrs.create_permute_attrs(node, attrs=[('axis', 'input:0')])
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