72 lines
2.6 KiB
Python
72 lines
2.6 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 math
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import numpy as np
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from extensions.ops.upsample import UpsampleOp
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from mo.front.extractor import FrontExtractorOp
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from mo.front.onnx.extractors.utils import onnx_attr
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from mo.utils.error import Error
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class UpsampleFrontExtractor(FrontExtractorOp):
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op = 'Upsample'
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enabled = True
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@classmethod
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def extract(cls, node):
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mode = onnx_attr(node, 'mode', 's', default='nearest', dst_type=lambda x: x.decode())
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scales = onnx_attr(node, 'scales', 'floats', dst_type=lambda x: np.array(x, dtype=np.float32))
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width_scale = onnx_attr(node, 'width_scale', 'f')
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height_scale = onnx_attr(node, 'height_scale', 'f')
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supported_modes = ['nearest', 'linear']
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if mode not in supported_modes:
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raise Error(
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'Error decoding Upsample node {}, mode = {} is not in the list of supported modes {}.',
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node.name,
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mode,
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supported_modes
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)
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if scales is not None:
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if scales.shape != (4,):
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raise Error(
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'Upsample scales attribute is wrong for node {}. Only 4D scales are supported.',
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node.name
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)
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if math.fabs(scales[0] - 1) > 1e-5 or math.fabs(scales[1] - 1) > 1e-5:
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raise Error(
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'Upsampling of batch and feature dimensions is not supported for node {}.',
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node.name
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)
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height_scale = scales[2]
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width_scale = scales[3]
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if (width_scale is None or height_scale is None) and len(node.in_nodes()) != 2:
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raise Error(
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'One/both of widths_scale = {} and height_scale = {} is not defined for Upsample node {}.',
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width_scale,
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height_scale,
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node.name
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)
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UpsampleOp.update_node_stat(node, {'mode': mode, 'height_scale': height_scale,
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'width_scale': width_scale})
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return cls.enabled
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