random.h

#pragma once

#include <torch/csrc/WindowsTorchApiMacro.h>
#include <torch/data/samplers/base.h>
#include <torch/types.h>

#include <cstddef>
#include <vector>

namespace torch {
namespace serialize {
class OutputArchive;
class InputArchive;
} // namespace serialize
} // namespace torch

namespace torch {
namespace data {
namespace samplers {

class RandomSampler : public Sampler<> {
 public:
  TORCH_API explicit RandomSampler(
      int64_t size,
      Dtype index_dtype = torch::kInt64);

  TORCH_API void reset(optional<size_t> new_size = nullopt) override;

  TORCH_API optional<std::vector<size_t>> next(size_t batch_size) override;

  TORCH_API void save(serialize::OutputArchive& archive) const override;

  TORCH_API void load(serialize::InputArchive& archive) override;

  TORCH_API size_t index() const noexcept;

 private:
  Tensor indices_;
  int64_t index_ = 0;
};
} // namespace samplers
} // namespace data
} // namespace torch