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#ifndef CAFFE2_OPERATORS_PACK_SEGMENTS_H_
#define CAFFE2_OPERATORS_PACK_SEGMENTS_H_
#include <atomic>
#include <limits>
#include <mutex>
#include <unordered_map>
#include <vector>
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
#include "caffe2/utils/math.h"
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(PackSegments)
C10_DECLARE_EXPORT_CAFFE2_OP_TO_C10(UnpackSegments)
namespace caffe2 {
template <class Context>
class PackSegmentsOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
USE_DISPATCH_HELPER;
template <class... Args>
explicit PackSegmentsOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
max_length_(this->template GetSingleArgument<int>("max_length", -1)),
pad_minf_(this->template GetSingleArgument<bool>("pad_minf", false)),
return_presence_mask_(this->template GetSingleArgument<bool>(
"return_presence_mask",
false)) {
if (pad_minf_) {
padding_ = -1.0 * std::numeric_limits<float>::infinity();
} else {
padding_ = 0;
}
}
bool RunOnDevice() {
return DispatchHelper<TensorTypes<int, long>>::call(this, Input(LENGTHS));
}
template <typename T>
bool DoRunWithType();
template <typename T, typename Data_T>
bool DoRunWithType2();
INPUT_TAGS(LENGTHS, DATA);
private:
int64_t max_length_;
bool pad_minf_;
float padding_;
bool return_presence_mask_;
// Scratch space required by the CUDA version
Tensor dev_buffer_{Context::GetDeviceType()};
Tensor dev_lengths_prefix_sum_{Context::GetDeviceType()};
Tensor dev_max_length_{Context::GetDeviceType()};
Tensor host_max_length_{CPU};
};
template <class Context>
class UnpackSegmentsOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
USE_DISPATCH_HELPER;
template <class... Args>
explicit UnpackSegmentsOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
max_length_(this->template GetSingleArgument<int>("max_length", -1)) {}
bool RunOnDevice() override {
return DispatchHelper<TensorTypes<int, long>>::call(this, Input(LENGTHS));
}
template <typename T>
bool DoRunWithType();
template <typename T, typename Data_T>
bool DoRunWithType2();
INPUT_TAGS(LENGTHS, DATA);
private:
int64_t max_length_;
Tensor dev_buffer_{Context::GetDeviceType()};
Tensor dev_lengths_prefix_sum_{Context::GetDeviceType()};
Tensor dev_max_length_{Context::GetDeviceType()};
Tensor dev_num_cell_{Context::GetDeviceType()};
Tensor host_max_length_{CPU};
Tensor host_num_cell_{CPU};
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_PACK_SEGMENTS_H_
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