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#pragma once
#include <torch/csrc/Export.h>
#include <torch/csrc/autograd/function.h>
#include <torch/csrc/autograd/variable.h>
#include <ATen/ATen.h>
#include <c10/cuda/CUDAStream.h>
#include <optional>
#include <cstddef>
#include <vector>
namespace torch::autograd {
struct TORCH_CUDA_CU_API Scatter : public Node {
explicit Scatter(
std::vector<at::Device> devices,
std::optional<std::vector<int64_t>> chunk_sizes = std::nullopt,
int64_t dim = 0,
std::optional<std::vector<std::optional<at::cuda::CUDAStream>>> streams =
std::nullopt,
bool unsqueeze_scalars = false);
~Scatter() override;
variable_list apply(variable_list&& inputs) override;
std::vector<at::Device> devices_;
std::optional<std::vector<int64_t>> chunk_sizes_;
int64_t dim_;
std::optional<std::vector<std::optional<at::cuda::CUDAStream>>> streams_;
bool unsqueeze_scalars_;
};
struct TORCH_CUDA_CU_API Gather : public Node {
explicit Gather(const at::Device& destination_device, int64_t dim = 0);
~Gather() override;
variable_list apply(variable_list&& inputs) override;
at::Device destination_device_;
int64_t dim_;
};
} // namespace torch::autograd
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