56 lines
2.0 KiB
Python
56 lines
2.0 KiB
Python
"""
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Copyright (c) 2018-2019 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 Node, Graph
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from mo.graph.perm_inputs import PermuteInputs
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from mo.ops.op import Op
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class Broadcast(Op):
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""" Broadcast tensor to a given shape with optional axis parameter
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Inputs:
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[0] - tensor to be broadcasted
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[1] - shape to be broadcast to
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[2] - optional axis paramater that which axis are allowed to be broadcasted
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"""
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op = 'Broadcast'
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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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'kind': 'op',
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'type': __class__.op,
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'op': __class__.op,
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'in_ports_count': 3,
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'out_ports_count': 1,
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'force_precision_in_ports': {1: 'int64' if graph.graph['cmd_params'].generate_experimental_IR_V10 else 'int32',
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2: 'int64' if graph.graph['cmd_params'].generate_experimental_IR_V10 else 'int32',
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},
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'infer': __class__.infer,
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}, attrs)
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@staticmethod
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def infer(node: Node):
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# TODO Add necessary checks and asserts
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node.out_node().shape = node.in_node(1).value
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PermuteInputs().set_input_permutation(node.in_node(1), node, 'output:0', 'shape')
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if node.in_node(0).value is not None and node.in_node(1).value is not None:
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node.out_node().value = np.broadcast_to(node.in_node(0).value, node.in_node(1).value)
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