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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/33851 Rationale and context described in #33828. Script to reproduce the move: https://gist.github.com/suo/16cbefaaeb67ca5a7c6caffd49b7f6e9 ghstack-source-id: 99079645 Test Plan: Make sure CI passes Reviewed By: jamesr66a Differential Revision: D20133869 fbshipit-source-id: 390e9241a9c85366d9005c492ac31f10aa96488e
47 lines
1.2 KiB
C++
47 lines
1.2 KiB
C++
#include <torch/csrc/distributed/rpc/script_resp.h>
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#include <c10/util/C++17.h>
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#include <torch/csrc/distributed/rpc/rpc_agent.h>
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#include <torch/csrc/jit/serialization/pickle.h>
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#include <torch/csrc/jit/serialization/unpickler.h>
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namespace torch {
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namespace distributed {
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namespace rpc {
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namespace {
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using torch::jit::Pickler;
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using torch::jit::Unpickler;
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} // namespace
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ScriptResp::ScriptResp(at::IValue&& value) : value_(value) {}
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const at::IValue& ScriptResp::value() {
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return value_;
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}
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Message ScriptResp::toMessage() && {
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std::vector<torch::Tensor> tensor_table;
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auto payload = jit::pickle(value_, &tensor_table);
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;
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return Message(
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std::move(payload), std::move(tensor_table), MessageType::SCRIPT_RET);
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}
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std::unique_ptr<ScriptResp> ScriptResp::fromMessage(const Message& message) {
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auto payload = static_cast<const char*>(message.payload().data());
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auto payload_size = message.payload().size();
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auto value = jit::unpickle(
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payload,
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payload_size,
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*RpcAgent::getCurrentRpcAgent()->getTypeResolver(),
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&message.tensors());
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return std::make_unique<ScriptResp>(std::move(value));
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}
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} // namespace rpc
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} // namespace distributed
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} // namespace torch
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