7a11e36eeb
* Added fixed scale(bias) components * Successfully converted after adding fixed bias,scale components * Added unittests
71 lines
3.1 KiB
Python
71 lines
3.1 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.common.partial_infer.elemental import copy_shape_infer
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from mo.graph.graph import Graph, Node
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from mo.ops.op import Op
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from mo.utils.error import Error
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class MemoryOffset(Op):
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op = 'MemoryOffset'
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enabled = True
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'op': 'MemoryOffset',
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'pair_name': None,
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'has_default': False,
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'infer': __class__.infer,
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'in_ports_count': 1,
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'out_ports_count': 1,
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}, attrs)
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def supported_attrs(self):
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return ['t']
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@staticmethod
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def infer(node: Node):
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# MemoryOffset is splitted in 2 parts to avoid cycle in graph
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# Calculate shape from shape of previous layer where possible
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# In other cases information about shapes from initial Kaldi model used
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if not node.in_port(0).disconnected():
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copy_shape_infer(node)
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pair_node = Node(node.graph, node.pair_name)
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pair_node.out_port(0).data.set_shape(node.out_port(0).data.get_shape())
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else:
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pair_node = Node(node.graph, node.pair_name)
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if pair_node.in_port(0).data.get_shape() is not None:
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node.out_port(0).data.set_shape(pair_node.in_port(0).data.get_shape())
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copy_shape_infer(pair_node)
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elif pair_node.has_valid('element_size'):
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# TODO Add here real batch
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node.out_port(0).data.set_shape(np.array([1, pair_node['element_size']]))
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elif pair_node.in_port(0).get_source().node.has_valid('out-size'):
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out_size = pair_node.in_port(0).get_source().node['out-size']
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node.out_port(0).data.set_shape(np.array([1, out_size]))
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elif pair_node.in_port(0).get_source().node.op in ["Add", "ReLU"] and \
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pair_node.in_port(0).get_source().node.in_port(0).get_source().node.has_valid('out-size'):
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out_size = pair_node.in_port(0).get_source().node.in_port(0).get_source().node['out-size']
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node.out_port(0).data.set_shape(np.array([1, out_size]))
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elif pair_node.in_port(0).get_source().node.has_valid('in_dim'):
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out_size = pair_node.in_port(0).get_source().node['in_dim']
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node.out_port(0).data.set_shape(np.array([1, out_size]))
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else:
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raise Error("Can't calculate MemoryOffset shape for node {}. ".format(node.id) +
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"Possibly you need to add shape for it through --input_shape")
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