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#include "caffe2/core/operator.h"
#include "c10/util/irange.h"
namespace caffe2 {
namespace {
template <typename Context>
void AdadeltaUpdate(
int N,
const float* w,
const float* g,
const float* h,
const float* d,
const float epsilon,
const float decay,
const float* lr,
float* nw,
float* nh,
float* nd,
Context* /*context*/) {
for (const auto i : c10::irange(N)) {
float gi = g[i];
float di = d[i];
float hi = nh[i] = decay * h[i] + (1.0f - decay) * gi * gi;
float ng = (std::sqrt(di + epsilon) / std::sqrt(hi + epsilon)) * gi;
nw[i] = w[i] + lr[0] * ng;
nd[i] = decay * di + (1.0f - decay) * ng * ng;
}
}
} // namespace
template <class Context>
class AdadeltaOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
AdadeltaOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
OP_SINGLE_ARG(float, "epsilon", epsilon_, 1e-5f),
OP_SINGLE_ARG(float, "decay", decay_, 0.95f) {}
bool RunOnDevice() override {
CAFFE_ENFORCE(Input(GRAD).numel() == Input(MOMENT_GRAD).numel());
CAFFE_ENFORCE(Input(GRAD).numel() == Input(MOMENT_DELTA).numel());
CAFFE_ENFORCE(Input(GRAD).numel() == Input(PARAM).numel());
CAFFE_ENFORCE_GE(epsilon_, 0.0f);
CAFFE_ENFORCE_GT(decay_, 0.0f);
CAFFE_ENFORCE_LT(decay_, 1.0f);
Output(OUTPUT_PARAM)->ResizeLike(Input(PARAM));
Output(OUTPUT_MOMENT_GRAD)->ResizeLike(Input(MOMENT_GRAD));
Output(OUTPUT_MOMENT_DELTA)->ResizeLike(Input(MOMENT_DELTA));
AdadeltaUpdate<Context>(
Input(GRAD).numel(),
Input(PARAM).template data<float>(),
Input(GRAD).template data<float>(),
Input(MOMENT_GRAD).template data<float>(),
Input(MOMENT_DELTA).template data<float>(),
epsilon_,
decay_,
Input(LR).template data<float>(),
Output(OUTPUT_PARAM)->template mutable_data<float>(),
Output(OUTPUT_MOMENT_GRAD)->template mutable_data<float>(),
Output(OUTPUT_MOMENT_DELTA)->template mutable_data<float>(),
&context_);
return true;
}
protected:
const float epsilon_;
const float decay_;
INPUT_TAGS(PARAM, MOMENT_GRAD, MOMENT_DELTA, GRAD, LR);
OUTPUT_TAGS(OUTPUT_PARAM, OUTPUT_MOMENT_GRAD, OUTPUT_MOMENT_DELTA);
};
template <class Context>
class SparseAdadeltaOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
SparseAdadeltaOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
OP_SINGLE_ARG(float, "epsilon", epsilon_, 1e-5f),
OP_SINGLE_ARG(float, "decay", decay_, 0.95f) {}
bool RunOnDevice() override {
// Enforce shapes
CAFFE_ENFORCE_EQ(Input(PARAM).numel(), Input(MOMENT_GRAD).numel());
CAFFE_ENFORCE_EQ(Input(PARAM).numel(), Input(MOMENT_DELTA).numel());
CAFFE_ENFORCE_EQ(Input(LR).numel(), 1);
CAFFE_ENFORCE_EQ(
Input(PARAM).size_from_dim(1),
Input(GRAD).size_from_dim(Input(INDICES).dim()));
// Enforce domain constraints for attributes
CAFFE_ENFORCE_GE(epsilon_, 0.0f);
CAFFE_ENFORCE_GT(decay_, 0.0f);
CAFFE_ENFORCE_LT(decay_, 1.0f);
return DispatchHelper<TensorTypes<int32_t, int64_t>>::call(
this, Input(INDICES));
}
template <typename SIndex>
bool DoRunWithType() {
const auto* lr = Input(LR).template data<float>();
const auto* indices = Input(INDICES).template data<SIndex>();
const auto* gradIn = Input(GRAD).template data<float>();
const auto* paramIn = Input(PARAM).template data<float>();
const auto* momentIn = Input(MOMENT_GRAD).template data<float>();
const auto* momentDeltaIn = Input(MOMENT_DELTA).template data<float>();
auto* paramOut = Output(OUTPUT_PARAM)->template mutable_data<float>();
auto* momentOut =
Output(OUTPUT_MOMENT_GRAD)->template mutable_data<float>();
auto* momentDeltaOut =
Output(OUTPUT_MOMENT_DELTA)->template mutable_data<float>();
auto n = Input(INDICES).numel();
if (n == 0) {
return true;
}
auto block_size = Input(GRAD).numel() / n;
for (const auto i : c10::irange(n)) {
auto idx = indices[i];
if (block_size == 1) {
float gi = gradIn[i];
float di = momentDeltaIn[idx];
float hi = momentOut[idx] =
decay_ * momentIn[idx] + (1.0f - decay_) * gi * gi;
float ng = (std::sqrt(di + epsilon_) / std::sqrt(hi + epsilon_)) * gi;
paramOut[idx] = paramIn[idx] + lr[0] * ng;
momentDeltaOut[idx] = decay_ * di + (1.0f - decay_) * ng * ng;
} else {
auto offsetI = i * block_size;
auto offsetIdx = idx * block_size;
#ifndef NDEBUG
CAFFE_ENFORCE_GE(
Input(PARAM).numel(),
block_size + offsetIdx,
this->debug_def().input(PARAM),
", out of bound, idx:",
idx,
" for input i:",
i,
" and block size:",
block_size);
CAFFE_ENFORCE_GE(
Input(GRAD).numel(),
block_size + offsetI,
this->debug_def().input(GRAD),
", out of bound idx, idx:",
idx,
" for input i:",
i);
#endif
AdadeltaUpdate(
block_size,
paramIn + offsetIdx,
gradIn + offsetI,
momentIn + offsetIdx,
momentDeltaIn + offsetIdx,
epsilon_,
decay_,
lr,
paramOut + offsetIdx,
momentOut + offsetIdx,
momentDeltaOut + offsetIdx,
&context_);
}
}
return true;
}
protected:
const float epsilon_;
const float decay_;
INPUT_TAGS(PARAM, MOMENT_GRAD, MOMENT_DELTA, INDICES, GRAD, LR);
OUTPUT_TAGS(OUTPUT_PARAM, OUTPUT_MOMENT_GRAD, OUTPUT_MOMENT_DELTA);
};
} // namespace caffe2
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