/usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/caffe2/operators/index_hash_ops.h (2232B)
#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 IndexHashOp : public Operator {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template
explicit IndexHashOp(Args&&... args)
: Operator(std::forward(args)...),
seed_(this->template GetSingleArgument("seed", 0)),
modulo_(this->template GetSingleArgument("modulo", 0)) {
CAFFE_ENFORCE_GT(modulo_, 0, "MODULO should be > 0");
}
bool RunOnDevice() override {
return DispatchHelper>::call(
this, Input(INDICES));
}
template
bool DoRunWithType() {
auto& indices = Input(INDICES);
auto* hashed_indices =
Output(HASHED_INDICES, indices.sizes(), at::dtype());
CAFFE_ENFORCE_GE(
static_cast(std::numeric_limits::max()),
modulo_,
"MODULO shouldn't be larger than the numeric limit of the indices");
auto N = indices.numel();
auto* indices_data = indices.template data();
auto* hashed_indices_data = hashed_indices->template mutable_data();
for (auto i = 0; i < N; i++) {
hashed_indices_data[i] = hash(indices_data[i]);
}
return true;
}
protected:
template
__ubsan_ignore_signed_int_overflow__
T hash(T id) {
int8_t* bytes = (int8_t*)&id;
T hashed = seed_ * 0xDEADBEEF;
// NOLINTNEXTLINE(clang-diagnostic-sign-compare)
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_