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#pragma once
#include <torch/csrc/autograd/function.h>
namespace torch {
namespace distributed {
namespace autograd {
// As part of our distributed autograd implementation, whenever we send an RPC
// from one node to another, we add a 'SendRpcBackward' autograd function to the
// autograd graph. This is more or less a placeholder function that is used to
// kickoff the autograd engine on the current worker on the backward pass. The
// edges for this autograd function are the inputs to the RPC method.
//
// During the backward pass, this function is queued for execution in the
// autograd engine which eventually runs the rest of the autograd graph.
struct TORCH_API SendRpcBackward : public torch::autograd::Node {
public:
torch::autograd::variable_list apply(
torch::autograd::variable_list&& inputs) override;
// SendRpcBackward is actually the root of an autograd graph on the local
// node. As a result, it doesn't receive any 'inputs', but rather the RPC
// framework passes gradients over to this function to kickoff local autograd
// computation.
void setGrads(const torch::autograd::variable_list& grads);
// Retrieve the grads for the function.
const torch::autograd::variable_list& getGrads() const;
private:
torch::autograd::variable_list grads_;
};
} // namespace autograd
} // namespace distributed
} // namespace torch
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