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nnweights.hxx
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/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
#ifndef NNWEIGHTS_HXX_2880584948__H_
#define NNWEIGHTS_HXX_2880584948__H_
#include <sstream>
#include "boost/any.hpp"
#include "avro/Specific.hh"
#include "avro/Encoder.hh"
#include "avro/Decoder.hh"
namespace coconut {
struct cnnweights {
std::vector<int32_t > dimension;
std::vector<double > weights;
cnnweights() :
dimension(std::vector<int32_t >()),
weights(std::vector<double >())
{ }
};
}
namespace avro {
template<> struct codec_traits<coconut::cnnweights> {
static void encode(Encoder& e, const coconut::cnnweights& v) {
avro::encode(e, v.dimension);
avro::encode(e, v.weights);
}
static void decode(Decoder& d, coconut::cnnweights& v) {
if (avro::ResolvingDecoder *rd =
dynamic_cast<avro::ResolvingDecoder *>(&d)) {
const std::vector<size_t> fo = rd->fieldOrder();
for (std::vector<size_t>::const_iterator it = fo.begin();
it != fo.end(); ++it) {
switch (*it) {
case 0:
avro::decode(d, v.dimension);
break;
case 1:
avro::decode(d, v.weights);
break;
default:
break;
}
}
} else {
avro::decode(d, v.dimension);
avro::decode(d, v.weights);
}
}
};
}
#endif