dec7df17ed
* Remove unnnecessary ir_version checks in the MO * Cleaned up 'backend_attrs_v2' function * Small clean up from the 'TFCustomSubgraphCall' * Clean up the MO extractor attributes mapping * Renamed PreluOp to PReLU
64 lines
2.0 KiB
Python
64 lines
2.0 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.graph.graph import Graph
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from mo.middle.passes.convert_data_type import np_data_type_to_destination_type
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from mo.ops.op import Op, PermuteAttrs
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class Parameter(Op):
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op = 'Parameter'
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def __init__(self, graph: Graph, attrs: dict):
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mandatory_props = {
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'op': self.op,
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'type': self.op,
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'version': 'opset1',
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'infer': self.infer,
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'is_input': True,
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'data_type': None,
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'type_infer': self.type_infer,
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'out_ports_count': 1,
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}
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if 'data_type' not in attrs:
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mandatory_props['data_type'] = np.float32
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super().__init__(graph, mandatory_props, attrs)
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@staticmethod
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def type_infer(node):
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node.out_port(0).set_data_type(node.data_type)
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def supported_attrs(self):
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return [
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('shape', lambda node: ','.join([str(i) for i in node.shape])),
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('element_type', lambda node: np_data_type_to_destination_type(node.data_type)),
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]
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@staticmethod
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def infer(node):
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name = node.soft_get('name', node.id)
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assert node.has_valid('shape'), \
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'Parameter node {} should have `shape` attribute. Please use cli options to set model input shape' \
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''.format(name)
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node.out_port(0).data.set_shape(node.shape)
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PermuteAttrs.create_permute_attrs(node, attrs=[('shape', 'output:0')])
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