FM / functions

/usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/autograd/functions/

/usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/autograd/functions

Name	Size	Mode	Actions
accumulate_grad.h	11466	0644	edit dl rm
basic_ops.h	2668	0644	edit dl rm
comm.h	1271	0644	edit dl rm
pybind.h	314	0644	edit dl rm
tensor.h	3926	0644	edit dl rm
utils.h	2883	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/autograd/functions/comm.h (1271B)

#pragma once

#include <torch/csrc/autograd/function.h>
#include <torch/csrc/autograd/variable.h>
#include <torch/csrc/WindowsTorchApiMacro.h>

#include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/cuda/ATenCUDAGeneral.h>

#include <cstddef>
#include <vector>

namespace torch {
namespace autograd {

struct TORCH_CUDA_CU_API Scatter : public Node {
  explicit Scatter(
      std::vector<at::Device> devices,
      const c10::optional<std::vector<int64_t>>& chunk_sizes = c10::nullopt,
      int64_t dim = 0,
      const c10::optional<std::vector<c10::optional<at::cuda::CUDAStream>>>& streams =
          c10::nullopt,
      bool unsqueeze_scalars = false);
  ~Scatter() override;

variable_list apply(variable_list&& inputs) override;

std::vector<at::Device> devices_;
  c10::optional<std::vector<int64_t>> chunk_sizes_;
  int64_t dim_;
  c10::optional<std::vector<c10::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 autograd
} // namespace torch

#pragma once #include #include #include #include #include #include #include #include namespace torch { namespace autograd { struct TORCH_CUDA_CU_API Scatter : public Node { explicit Scatter( std::vector devices, const c10::optional>& chunk_sizes = c10::nullopt, int64_t dim = 0, const c10::optional>>& streams = c10::nullopt, bool unsqueeze_scalars = false); ~Scatter() override; variable_list apply(variable_list&& inputs) override; std::vector devices_; c10::optional> chunk_sizes_; int64_t dim_; c10::optional>> 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 autograd } // namespace torch