# -*- coding: utf-8 -*
#
# Copyright 2018 Analytics Zoo Authors.
#
# 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.
from zoo.pipeline.api.onnx.mapper.operator_mapper import OperatorMapper
import zoo.pipeline.api.keras.layers as zlayers
import zoo.pipeline.api.autograd as autograd
import bigdl.nn.layer as blayer
[docs]class SliceMapper(OperatorMapper):
def __init__(self, node, _params, _all_tensors):
super(SliceMapper, self).__init__(node, _params, _all_tensors)
def _extract_model_inputs(self):
"""
:return: list of OnnxInput
"""
return [self._to_zoo_input(self._input_list[0])]
def _to_tensor(self):
lens = []
input = self.model_inputs[0].zvalue
ends = self.onnx_attr['ends']
starts = self.onnx_attr['starts']
if "axes" in self.onnx_attr.keys():
axes = self.onnx_attr['axes']
else:
axes = range(len(starts))
for j in range(len(starts)):
lens.append(ends[j] - starts[j])
# slice(, len=-1) equals to slice(, len=length)
# y = x[:2,0:-1] means start is(0,0) and ends is(2,-1)
# which is equivalent to slice(,len=-2) as "end=-1" is exclusive here.
if lens[j] < 0:
lens[j] -= 1
for i in range(len(starts)):
input = input.slice(dim=int(axes[i]), start_index=int(starts[i]), length=int(lens[i]))
return input