#
# 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.autograd as autograd
from zoo.pipeline.api.onnx.onnx_helper import OnnxHelper
import zoo.pipeline.api.keras.layers as zlayers
[docs]class ReduceSumMapper(OperatorMapper):
def __init__(self, node, _params, _all_tensors):
super(ReduceSumMapper, self).__init__(node, _params, _all_tensors)
def _extract_model_inputs(self):
"""
:return: list of inputs
"""
assert len(self._input_list) > 0
return [self._to_zoo_input(oi) for oi in self._input_list]
def _to_tensor(self):
input = self.model_inputs[0].zvalue
assert len(self.onnx_attr['axes']) == 1, "we only support axes with 1 elements for now"
axes = self.onnx_attr['axes'][0]
keepdims = True if self.onnx_attr['keepdims'] == 1 else False
return autograd.sum(input, axis=int(axes), keepDims=keepdims)