465707eba7
* added value propagation for slice_like op * Mark slice_lice as undead node * fixes in mark_undead_nodes and unittests update
66 lines
2.4 KiB
Python
66 lines
2.4 KiB
Python
"""
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Copyright (C) 2018-2020 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.front.caffe.extractors.utils import get_canonical_axis_index
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from mo.front.common.partial_infer.utils import int64_array
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from mo.graph.graph import Graph
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from mo.ops.op import Op
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class SliceLike(Op):
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op = 'slice_like'
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enabled = True
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def __init__(self, graph: Graph, attrs: dict):
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assert 'axes' in attrs, 'Please set mandatory `axes` attribute for `slice_like` operation'
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super().__init__(graph, {
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'type': None,
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'op': self.op,
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'in_ports_count': 2,
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'out_ports_count': 1,
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'infer': self.infer,
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}, attrs)
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@staticmethod
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def infer(node):
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input_shape = node.in_port(0).data.get_shape()
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shape_like = node.in_port(1).data.get_shape()
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new_shape = np.copy(input_shape)
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if node.axes is not None:
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node.axes = sorted([get_canonical_axis_index(input_shape, i) for i in node.axes])
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for i in node.axes:
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new_shape[i] = shape_like[i]
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else:
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assert input_shape.size == shape_like.size,\
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'Input shape ranks are inconsistent: {} and {}'.format(input_shape.size, shape_like.size)
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node.axes = int64_array(range(shape_like.size))
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new_shape = np.copy(shape_like)
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node.out_port(0).data.set_shape(new_shape)
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if node.in_port(0).get_connection().data.get_value() is not None:
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out_value = np.copy(node.in_port(0).data.get_value())
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slice_indexes = []
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for s in out_value.shape:
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slice_indexes.append(slice(0, s))
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for axis in node.axes:
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slice_indexes[axis] = slice(0, new_shape[axis])
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out_value = out_value[tuple(slice_indexes)]
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node.out_port(0).data.set_value(out_value)
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