#include "caffe2/core/operator.h"
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namespace caffe2 {
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namespace {
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template <typename Context>
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void AdadeltaUpdate(
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int N,
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const float* w,
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const float* g,
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const float* h,
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const float* d,
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const float epsilon,
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const float decay,
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const float* lr,
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float* nw,
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float* nh,
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float* nd,
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Context* /*context*/) {
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for (int i = 0; i < N; ++i) {
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float gi = g[i];
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float di = d[i];
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float hi = nh[i] = decay * h[i] + (1.0f - decay) * gi * gi;
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float ng = (std::sqrt(di + epsilon) / std::sqrt(hi + epsilon)) * gi;
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nw[i] = w[i] + lr[0] * ng;
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nd[i] = decay * di + (1.0f - decay) * ng * ng;
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}
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}
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} // namespace
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template <class Context>
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class AdadeltaOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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AdadeltaOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws),
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OP_SINGLE_ARG(float, "epsilon", epsilon_, 1e-5f),
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OP_SINGLE_ARG(float, "decay", decay_, 0.95f) {}
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bool RunOnDevice() override {
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CAFFE_ENFORCE(Input(GRAD).numel() == Input(MOMENT_GRAD).numel());
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CAFFE_ENFORCE(Input(GRAD).numel() == Input(MOMENT_DELTA).numel());
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CAFFE_ENFORCE(Input(GRAD).numel() == Input(PARAM).numel());
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CAFFE_ENFORCE_GE(epsilon_, 0.0f);
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CAFFE_ENFORCE_GT(decay_, 0.0f);
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CAFFE_ENFORCE_LT(decay_, 1.0f);
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Output(OUTPUT_PARAM)->ResizeLike(Input(PARAM));
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Output(OUTPUT_MOMENT_GRAD)->ResizeLike(Input(MOMENT_GRAD));
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Output(OUTPUT_MOMENT_DELTA)->ResizeLike(Input(MOMENT_DELTA));
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AdadeltaUpdate<Context>(
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Input(GRAD).numel(),
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Input(PARAM).template data<float>(),
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Input(GRAD).template data<float>(),
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Input(MOMENT_GRAD).template data<float>(),
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Input(MOMENT_DELTA).template data<float>(),
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epsilon_,
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decay_,
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Input(LR).template data<float>(),
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Output(OUTPUT_PARAM)->template mutable_data<float>(),
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Output(OUTPUT_MOMENT_GRAD)->template mutable_data<float>(),
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Output(OUTPUT_MOMENT_DELTA)->template mutable_data<float>(),
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&context_);
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return true;
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}
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protected:
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const float epsilon_;
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const float decay_;
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INPUT_TAGS(PARAM, MOMENT_GRAD, MOMENT_DELTA, GRAD, LR);
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OUTPUT_TAGS(OUTPUT_PARAM, OUTPUT_MOMENT_GRAD, OUTPUT_MOMENT_DELTA);
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};
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template <class Context>
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class SparseAdadeltaOp final : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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SparseAdadeltaOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws),
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OP_SINGLE_ARG(float, "epsilon", epsilon_, 1e-5f),
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OP_SINGLE_ARG(float, "decay", decay_, 0.95f) {}
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bool RunOnDevice() override {
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// Enforce shapes
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CAFFE_ENFORCE_EQ(Input(PARAM).numel(), Input(MOMENT_GRAD).numel());
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CAFFE_ENFORCE_EQ(Input(PARAM).numel(), Input(MOMENT_DELTA).numel());
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CAFFE_ENFORCE_EQ(Input(LR).numel(), 1);
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CAFFE_ENFORCE_EQ(
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Input(PARAM).size_from_dim(1),
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Input(GRAD).size_from_dim(Input(INDICES).dim()));
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// Enforce domain constraints for attributes
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CAFFE_ENFORCE_GE(epsilon_, 0.0f);
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CAFFE_ENFORCE_GT(decay_, 0.0f);
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CAFFE_ENFORCE_LT(decay_, 1.0f);
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return DispatchHelper<TensorTypes<int32_t, int64_t>>::call(
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this, Input(INDICES));
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}
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template <typename SIndex>
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bool DoRunWithType() {
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const auto* lr = Input(LR).template data<float>();
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const auto* indices = Input(INDICES).template data<SIndex>();
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const auto* gradIn = Input(GRAD).template data<float>();
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const auto* paramIn = Input(PARAM).template data<float>();
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const auto* momentIn = Input(MOMENT_GRAD).template data<float>();
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const auto* momentDeltaIn = Input(MOMENT_DELTA).template data<float>();
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auto* paramOut = Output(OUTPUT_PARAM)->template mutable_data<float>();
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auto* momentOut =
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Output(OUTPUT_MOMENT_GRAD)->template mutable_data<float>();
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auto* momentDeltaOut =
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Output(OUTPUT_MOMENT_DELTA)->template mutable_data<float>();
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auto n = Input(INDICES).numel();
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if (n == 0) {
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return true;
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}
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auto block_size = Input(GRAD).numel() / n;
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for (int i = 0; i < n; ++i) {
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auto idx = indices[i];
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if (block_size == 1) {
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float gi = gradIn[i];
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float di = momentDeltaIn[idx];
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float hi = momentOut[idx] =
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decay_ * momentIn[idx] + (1.0f - decay_) * gi * gi;
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float ng = (std::sqrt(di + epsilon_) / std::sqrt(hi + epsilon_)) * gi;
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paramOut[idx] = paramIn[idx] + lr[0] * ng;
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momentDeltaOut[idx] = decay_ * di + (1.0f - decay_) * ng * ng;
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} else {
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auto offsetI = i * block_size;
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auto offsetIdx = idx * block_size;
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#ifndef NDEBUG
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CAFFE_ENFORCE_GE(
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Input(PARAM).numel(),
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block_size + offsetIdx,
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this->debug_def().input(PARAM),
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", out of bound, idx:",
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idx,
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" for input i:",
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i,
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" and block size:",
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block_size);
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CAFFE_ENFORCE_GE(
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Input(GRAD).numel(),
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block_size + offsetI,
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this->debug_def().input(GRAD),
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", out of bound idx, idx:",
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idx,
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" for input i:",
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i);
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#endif
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AdadeltaUpdate(
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block_size,
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paramIn + offsetIdx,
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gradIn + offsetI,
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momentIn + offsetIdx,
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momentDeltaIn + offsetIdx,
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epsilon_,
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decay_,
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lr,
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paramOut + offsetIdx,
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momentOut + offsetIdx,
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momentDeltaOut + offsetIdx,
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&context_);
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}
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}
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return true;
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}
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protected:
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const float epsilon_;
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const float decay_;
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INPUT_TAGS(PARAM, MOMENT_GRAD, MOMENT_DELTA, INDICES, GRAD, LR);
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OUTPUT_TAGS(OUTPUT_PARAM, OUTPUT_MOMENT_GRAD, OUTPUT_MOMENT_DELTA);
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};
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} // namespace caffe2
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