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"""
Copyright (c) 2018 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import copy
import networkx as nx
import numpy as np
from mo.graph.graph import Node
from mo.ops.op import Op
class Split(Op):
op = 'Split'
enabled = True
def __init__(self, graph: nx.MultiDiGraph, attrs: dict):
super().__init__(graph, {
'type': 'Split',
'op': 'Split',
'axis': 1,
'input_port': 0,
'infer': Split.infer
}, attrs)
def supported_attrs(self):
return ['axis', 'num_split']
@staticmethod
def infer(node: Node):
input_node = node.in_node(0)
outputs = node.out_nodes()
out_shape = copy.copy(input_node.shape)
out_shape[node.axis] = np.int64(input_node.shape[node.axis] / node.pb.num_split)
for idx, output in outputs.items():
output.shape = out_shape
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