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/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* 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.
*/
#pragma once
#include "caffe2/core/operator.h"
#include <stdlib.h>
#include <time.h>
namespace caffe2 {
template <typename T, class Context>
void weight_scale_update(
int N,
const T* w,
const T scale,
int64_t iter,
int64_t stepsize,
int64_t update_upper_bound,
T* nw,
Context* context) {
const auto w_size = N * sizeof(float);
if (iter % stepsize != 0 || iter >= update_upper_bound) {
memcpy(nw, w, w_size);
return;
}
// perform the weight scaling
caffe2::math::Scale<T, T, Context>(N, scale, w, nw, context);
}
template <class Context>
class WeightScaleOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
WeightScaleOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
stepsize_(OperatorBase::GetSingleArgument<int64_t>(
"stepsize",
std::numeric_limits<int64_t>::max())),
update_upper_bound_(OperatorBase::GetSingleArgument<int64_t>(
"upper_bound_iter",
std::numeric_limits<int64_t>::max())),
scale_(this->template GetSingleArgument<float>("scale", 1.0f)) {}
bool RunOnDevice() override {
Output(OUTPUT_WEIGHTS)->ResizeLike(Input(WEIGHTS));
return DispatchHelper<TensorTypes<float>>::call(this, Input(WEIGHTS));
}
template <typename T>
bool DoRunWithType() {
const auto iter =
OperatorBase::Input<Tensor>(ITER, CPU).template data<int64_t>()[0] + 1;
weight_scale_update<T, Context>(
Input(WEIGHTS).size(),
Input(WEIGHTS).template data<T>(),
scale_,
iter,
stepsize_,
update_upper_bound_,
Output(OUTPUT_WEIGHTS)->template mutable_data<T>(),
&context_);
return true;
}
protected:
int64_t stepsize_;
int64_t update_upper_bound_;
float scale_;
INPUT_TAGS(WEIGHTS, ITER);
OUTPUT_TAGS(OUTPUT_WEIGHTS);
};
} // namespace caffe2
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