/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators/square_root_divide_op.h (1857B)
#ifndef CAFFE2_OPERATORS_SQUARE_ROOT_DIVIDE_OP_H_
#define CAFFE2_OPERATORS_SQUARE_ROOT_DIVIDE_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template
class SquareRootDivideOp final : public Operator {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
USE_DISPATCH_HELPER;
template
explicit SquareRootDivideOp(Args&&... args)
: Operator(std::forward(args)...) {}
bool RunOnDevice() override {
return DispatchHelper>::call(this, Input(DATA));
}
private:
template
bool DoRunWithType() {
return DispatchHelper, TData>::call(
this, Input(SCALE));
}
template
bool DoRunWithType2() {
auto& data = Input(DATA);
auto& scale = Input(SCALE);
auto* Y = Output(0, data.sizes(), at::dtype());
size_t batchSize = data.size(0);
size_t exampleSize = data.size_from_dim(1);
// NOLINTNEXTLINE(clang-diagnostic-sign-compare)
CAFFE_ENFORCE(batchSize == scale.size(0), batchSize, " != ", scale.size(0));
auto* scalePtr = scale.template data();
auto* dataPtr = data.template data();
auto* yPtr = Y->template mutable_data();
for (auto i = 0U; i < batchSize; ++i) {
auto scale = scalePtr[i];
CAFFE_ENFORCE(scale >= 0, scale, " < 0");
auto multiplier = scale == 0 ? 1.0 : 1 / std::sqrt(scale);
math::Scale(
exampleSize,
multiplier,
dataPtr + i * exampleSize,
yPtr + i * exampleSize,
&context_);
}
return true;
}
INPUT_TAGS(DATA, SCALE);
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_SQUARE_ROOT_DIVIDE_OP_H_