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https://github.com/pytorch/pytorch.git
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9fff8155c3
This PR applies clang-tidy readability checks to jit sources and all headers in the code base. `readability-redundant-inline-specifier` is suppressed because it incurs too many changes. `readability-redundant-inline-specifier` is used to detect redundant inline specifiers on function and variable declarations. There are many in-class method definitions that are marked inline. Pull Request resolved: https://github.com/pytorch/pytorch/pull/164652 Approved by: https://github.com/Skylion007
181 lines
8.5 KiB
C++
181 lines
8.5 KiB
C++
#pragma once
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#include <ATen/core/ivalue.h>
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#include <ATen/record_function.h>
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#include <c10/macros/Macros.h>
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#include <c10/util/ThreadLocalDebugInfo.h>
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#include <string>
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#include <vector>
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namespace torch {
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class TORCH_API ParamCommsDebugInfo : public c10::DebugInfoBase {
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public:
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ParamCommsDebugInfo() = default;
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ParamCommsDebugInfo(
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std::tuple<std::string, std::string> pgName,
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int rank,
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std::string&& collName,
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int64_t inNelems,
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int64_t outNelems,
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at::ScalarType dType,
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std::vector<int64_t> inSplitSizes,
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std::vector<int64_t> outSplitSizes,
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int globalRankStart,
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int globalRankStride,
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int worldSize);
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~ParamCommsDebugInfo() override = default;
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const std::string getProcessGroupName() const {
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return std::get<0>(pgName_);
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}
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const std::string getProcessGroupDesc() const {
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return std::get<1>(pgName_);
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}
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int getRank() const {
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return rank_;
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}
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int getWorldSize() const {
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return worldSize_;
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}
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int getGlobalRankStart() const {
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return globalRankStart_;
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}
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int getGlobalRankStride() const {
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return globalRankStride_;
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}
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const std::string getCollectiveName() const {
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return collectiveName_;
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}
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int64_t getInMessageNelems() const {
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return inMessageNelems_;
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}
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int64_t getOutMessageNelems() const {
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return outMessageNelems_;
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}
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at::ScalarType getDType() const {
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return dType_;
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}
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const std::vector<int64_t>& getInputSplitSizes() const {
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return inputSplitSizes_;
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}
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const std::vector<int64_t>& getOutputSplitSizes() const {
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return outputSplitSizes_;
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}
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const std::vector<int64_t>& getGroupRanks() const {
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return groupRanks_;
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}
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private:
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std::tuple<std::string, std::string> pgName_; // <group_name, group_desc>
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int rank_{};
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int worldSize_{};
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std::string collectiveName_;
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int64_t inMessageNelems_{};
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int64_t outMessageNelems_{};
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at::ScalarType dType_ = at::kByte;
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std::vector<int64_t> inputSplitSizes_;
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std::vector<int64_t> outputSplitSizes_;
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int globalRankStart_{};
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int globalRankStride_{};
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std::vector<int64_t> groupRanks_;
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};
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#define RECORD_PARAM_COMMS( \
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seq, \
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pgName, \
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rank, \
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collName, \
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inNelems, \
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outNelems, \
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dType, \
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inSplitSizes, \
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outSplitSizes, \
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globalRankStart, \
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globalRankStride, \
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worldSize) \
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auto paramCommsInfo = std::make_shared<torch::ParamCommsDebugInfo>( \
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pgName, \
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rank, \
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collName, \
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inNelems, \
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outNelems, \
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dType, \
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inSplitSizes, \
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outSplitSizes, \
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globalRankStart, \
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globalRankStride, \
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worldSize); \
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c10::DebugInfoGuard g(c10::DebugInfoKind::PARAM_COMMS_INFO, paramCommsInfo); \
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std::initializer_list<const c10::IValue> paramList = { \
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seq, \
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pgName, \
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rank, \
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collName, \
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inSplitSizes, \
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outSplitSizes, \
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globalRankStart, \
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globalRankStride, \
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worldSize}; \
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c10::ArrayRef<const c10::IValue> paramInputs(paramList); \
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RECORD_FUNCTION(at::kParamCommsCallName, paramInputs);
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#define RECORD_PARAM_COMMS_DATA( \
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seq, \
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pgName, \
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InputTensors, \
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OutputTensors, \
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rank, \
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collName, \
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inNelems, \
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outNelems, \
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dType, \
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inSplitSizes, \
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outSplitSizes, \
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globalRankStart, \
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globalRankStride, \
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worldSize) \
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auto paramCommsInfo = std::make_shared<torch::ParamCommsDebugInfo>( \
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pgName, \
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rank, \
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collName, \
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inNelems, \
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outNelems, \
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dType, \
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inSplitSizes, \
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outSplitSizes, \
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globalRankStart, \
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globalRankStride, \
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worldSize); \
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c10::DebugInfoGuard g(c10::DebugInfoKind::PARAM_COMMS_INFO, paramCommsInfo); \
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std::initializer_list<const c10::IValue> paramList = { \
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c10::IValue(InputTensors), \
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seq, \
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pgName, \
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rank, \
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collName, \
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inSplitSizes, \
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outSplitSizes, \
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globalRankStart, \
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globalRankStride, \
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worldSize}; \
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c10::ArrayRef<const c10::IValue> paramInputs(paramList); \
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RECORD_FUNCTION_WITH_INPUTS_OUTPUTS( \
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at::kParamCommsCallName, \
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paramInputs, \
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std::vector<c10::IValue>(1, c10::IValue(OutputTensors)));
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} // namespace torch
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