103 lines
3.6 KiB
Python
103 lines
3.6 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 logging as log
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from extensions.ops.resize_factor_utils import factor_update
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from mo.front.common.layout import get_batch_dim, get_features_dim, get_height_dim, get_width_dim, shape_for_layout
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op
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class ResampleOp(Op):
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enabled = False
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op = 'Resample'
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def __init__(self, graph: Graph, attrs: dict):
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mandatory_props = {
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'type': __class__.op,
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'op': __class__.op,
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'factor': None,
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'in_ports_count': 2,
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'out_ports_count': 1,
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'infer': None
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}
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super().__init__(graph, mandatory_props, attrs)
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def supported_attrs(self):
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return [
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'antialias',
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'height',
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'width',
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'resample_type',
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'factor',
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]
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def backend_attrs(self):
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return [
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'antialias',
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'height',
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'width',
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('type', 'resample_type'),
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'factor'
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]
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@staticmethod
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def resample_infer(node: Node):
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layout = node.graph.graph['layout']
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assert len(layout) == 4
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input_shape = node.in_node(0).shape
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if input_shape is None:
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return
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in_height = input_shape[get_height_dim(layout, 4)]
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in_width = input_shape[get_width_dim(layout, 4)]
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if node.has('fw') and node.fw == 'tf':
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dst_shape = node.in_node(1).value
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if dst_shape is None or len(input_shape) != 4 or len(dst_shape) != 2:
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log.error(
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'Node {} with op {} cannot be converted to Resample layer because there is no enough info about '
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'src/dst shapes: src_shape = {}, dst_shape = {}'.format(node.name, node.op, input_shape, dst_shape))
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node.type = None # prevent translation to a valid IE layer
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return
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out_height = dst_shape[0]
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out_width = dst_shape[1]
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else:
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if len(node.in_nodes()) == 1:
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if node.has('width') and node.has('height'):
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out_height = node.height
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out_width = node.width
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else:
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out_height = node.factor * in_height
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out_width = node.factor * in_width
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else:
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out_height = node.in_node(1).shape[get_height_dim(layout, 4)]
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out_width = node.in_node(1).shape[get_width_dim(layout, 4)]
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node.factor = factor_update(
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node.factor,
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[float(out_height) / in_height, float(out_width) / in_width],
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[in_height, in_width],
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[out_height, out_width],
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node.soft_get('name'))
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node.out_node().shape = shape_for_layout(layout,
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batch=input_shape[get_batch_dim(layout, 4)],
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features=input_shape[get_features_dim(layout, 4)],
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height=out_height,
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width=out_width)
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