#
# 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.keras.layers import KerasLayerWrapper
from zoo.pipeline.api.onnx.mapper.operator_mapper import OperatorMapper
import numpy as np
import zoo.pipeline.api.keras.layers as zlayers
from bigdl.nn.layer import Clamp
[docs]class ClipMapper(OperatorMapper):
def __init__(self, node, _params, _all_tensors):
super(ClipMapper, self).__init__(node, _params, _all_tensors)
def _to_tensor(self):
assert len(self.model_inputs) == 1, "Clip accept single input only"
min = int(self.onnx_attr['min'])
max = int(self.onnx_attr['max'])
assert min <= max, "Min must be smaller or equal than Max"
clip = KerasLayerWrapper(Clamp(min, max))
return clip(self.model_inputs[0].zvalue)