blob: cb1f3b8b78c151f54b0c21a627e00f35388bdde1 [file] [log] [blame]
/************************************************************
*
* 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
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*************************************************************/
#include "singa/neuralnet/layer.h"
#include <cblas.h>
#include <glog/logging.h>
#include <math.h>
#include <cfloat>
#include "singa/utils/factory.h"
#include "singa/utils/singleton.h"
#include "singa/utils/math_blob.h"
namespace singa {
using std::string;
Layer* Layer::Create(const LayerProto& proto) {
auto* factory = Singleton<Factory<Layer>>::Instance();
Layer* layer = nullptr;
if (proto.has_user_type())
layer = factory->Create(proto.user_type());
else
layer = factory->Create(proto.type());
return layer;
}
const std::string Layer::ToString(bool debug, int flag) {
if (!debug)
return "";
string ret = "";
if ((flag & kForward) == kForward && data_.count() !=0) {
ret += StringPrintf("data:%e ", Asum(data_));
for (Param* p : GetParams())
ret += StringPrintf("%s:%13.9f ",
p->name().c_str(), Asum(p->data()));
}
if ((flag & kBackward) == kBackward && grad_.count() != 0) {
ret += StringPrintf("grad:%e ", Asum(grad_));
for (Param* p : GetParams())
ret += StringPrintf("%s:%13.9f ",
p->name().c_str(), Asum(p->grad()));
}
return ret;
}
} // namespace singa