#ifndef CAFFE2_OPERATORS_INDEX_HASH_OPS_H_
#define CAFFE2_OPERATORS_INDEX_HASH_OPS_H_
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(IndexHash);
namespace caffe2 {
template <class Context>
class IndexHashOp : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit IndexHashOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
seed_(this->template GetSingleArgument<int64_t>("seed", 0)),
modulo_(this->template GetSingleArgument<int64_t>("modulo", 0)) {
CAFFE_ENFORCE_GT(modulo_, 0, "MODULO should be > 0");
}
bool RunOnDevice() override {
return DispatchHelper<TensorTypes<int32_t, int64_t>>::call(
this, Input(INDICES));
}
template <typename T>
bool DoRunWithType() {
auto& indices = Input(INDICES);
auto* hashed_indices =
Output(HASHED_INDICES, indices.sizes(), at::dtype<T>());
CAFFE_ENFORCE_GE(
static_cast<int64_t>(std::numeric_limits<T>::max()),
modulo_,
"MODULO shouldn't be larger than the numeric limit of the indices");
auto N = indices.numel();
auto* indices_data = indices.template data<T>();
auto* hashed_indices_data = hashed_indices->template mutable_data<T>();
for (auto i = 0; i < N; i++) {
hashed_indices_data[i] = hash(indices_data[i]);
}
return true;
}
protected:
template <typename T>
__ubsan_ignore_signed_int_overflow__
T hash(T id) {
int8_t* bytes = (int8_t*)&id;
T hashed = seed_ * 0xDEADBEEF;
for (int i = 0; i < sizeof(T) / sizeof(int8_t); i++) {
hashed = hashed * 65537 + bytes[i];
}
// We want the result of the modulo to be positive. This works under the
// assumption that modulo_ > 0 which is enforced in the constructor.
auto modHashed = hashed % modulo_;
return modHashed >= 0 ? modHashed : modHashed + modulo_;
}
private:
INPUT_TAGS(INDICES);
OUTPUT_TAGS(HASHED_INDICES);
int64_t seed_;
int64_t modulo_;
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_INDEX_HASH_OPS_H_