90 lines
2.5 KiB
C++
90 lines
2.5 KiB
C++
/**
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* Copyright (c) 2016-present, Facebook, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include "caffe2/core/operator.h"
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#include <stdlib.h>
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#include <time.h>
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namespace caffe2 {
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template <typename T, class Context>
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void weight_scale_update(
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int N,
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const T* w,
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const T scale,
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int64_t iter,
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int64_t stepsize,
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int64_t update_upper_bound,
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T* nw,
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Context* context) {
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const auto w_size = N * sizeof(float);
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if (iter % stepsize != 0 || iter >= update_upper_bound) {
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memcpy(nw, w, w_size);
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return;
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}
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// perform the weight scaling
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caffe2::math::Scale<T, T, Context>(N, scale, w, nw, context);
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}
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template <class Context>
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class WeightScaleOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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WeightScaleOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws),
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stepsize_(OperatorBase::GetSingleArgument<int64_t>(
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"stepsize",
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std::numeric_limits<int64_t>::max())),
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update_upper_bound_(OperatorBase::GetSingleArgument<int64_t>(
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"upper_bound_iter",
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std::numeric_limits<int64_t>::max())),
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scale_(this->template GetSingleArgument<float>("scale", 1.0f)) {}
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bool RunOnDevice() override {
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Output(OUTPUT_WEIGHTS)->ResizeLike(Input(WEIGHTS));
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return DispatchHelper<TensorTypes<float>>::call(this, Input(WEIGHTS));
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}
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template <typename T>
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bool DoRunWithType() {
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const auto iter =
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OperatorBase::Input<Tensor>(ITER, CPU).template data<int64_t>()[0] + 1;
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weight_scale_update<T, Context>(
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Input(WEIGHTS).size(),
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Input(WEIGHTS).template data<T>(),
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scale_,
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iter,
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stepsize_,
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update_upper_bound_,
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Output(OUTPUT_WEIGHTS)->template mutable_data<T>(),
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&context_);
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return true;
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}
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protected:
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int64_t stepsize_;
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int64_t update_upper_bound_;
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float scale_;
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INPUT_TAGS(WEIGHTS, ITER);
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OUTPUT_TAGS(OUTPUT_WEIGHTS);
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};
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} // namespace caffe2
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