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Paddle Tensor Operation Library initial implementation #34425

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merged 150 commits into from
Nov 1, 2021

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chenwhql
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@chenwhql chenwhql commented Jul 27, 2021

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Describe

一、背景

Paddle Tensor运算库(Operation Library)旨在解决目前paddle中OpKernel存在的诸多问题,包括但不限于:

  • 内部二次研发效率:OpKernel开发可复用性较差,类似逻辑有多处重复代码
    • 新增OpKernel需要去别的OpKernel中Copy代码
  • 调度性能:动态图复用静态图Op体系,执行调度性能差,Kernel需要升级为函数式,支持动态图直观地调用
  • 外部二次研发效率:paddle自定义算子开发复杂算子,基础逻辑需要自行实现,需要梳理形成C++ API体系,供用户复用内部计算实现
  • 细粒度调度:OpKernel中糅合了框架调度逻辑,不够纯粹和具体,无法支持细粒度调度
    • 例如if(use_mkldnn), if(use_cudnn)等调度属性的分支

二、目标

  • 短期:
    • OpKernel改造为函数式,支持内部研发复用,并能够兼容现有执行体系
    • 运算类C++ API体系初步设计实现,支持在自定义算子中调用
  • 长期:
    • 通过框架不同方向复用同一 Tensor运算库,从根本上做到训练推理协同一致、基础组件稳定可靠、增量开发友好高效

三、设计

3.1 核心诉求

  1. 易用、可复用、开发效率高、理解成本低
  2. 独立、灵活、细粒度计算、可裁剪

3.2 Tensor设计

  • 高层API Tensor:对用户可见的Tensor数据结构,与Python端概念一致
  • 内部Tensor体系:异构Tensor体系设计,不同Tensor有不同的类

op2func_tensor-design-v6 drawio

3.3 Kernel及API设计

  • API一致性:C++计算类API的函数参数列表与Python对应API一致,无模板,无Context参数
  • 细粒度:Kernel函数尽可能解耦,每个函数的功能都尽可能简单和具体,Kernel函数没有默认及可选参数,如果需要,拆分为多个Kernel实现
  • Kernel与API一致性:函数式Kernel为了便于代码复用,可以有模板,Context类参数作为起始参数,随后的输入、输出、属性参数顺序与命名尽可能与API一致

image

3.4 命名、目录、命名空间

  • 命名:pten, Paddle TENsor Operation Library
  • 目录
./paddle
    ./fluid (现有C++核心框架目录)
    ./pten (Tensor运算库)
        ./api (运算库low level API,可用于内部Kernel间开发复用)
        ./hapi (运算库high level API,面向外部用户使用、和Python API签名一致)
        ./common (运算库内部和外部hapi公用的基础组件)
        ./core (运算库基础组件,如底层Tensor及kernel注册管理组件)
        ./kernels (各设备的Kernels)
            ./cpu
            ./cuda
            ./cudnn
            ./metal
            ./mkldnn
            ...
            ./functions (由Kernel调用的底层的公共函数)
                ./eigen
                ./blas
                ...
        ./tests (运算库单测集合)
	...
  • 命名空间

    • 面向用户的hapi:调用路径、命名及参数与Python API严格一致
      • paddle.Tensor -> paddle::Tensor
      • paddle.nn.functional.relu -> paddle::nn::functional::relu
      • paddle.matmul -> paddle::matmul
    • 面向Kernel开发者的api:采用单层命名空间,尽可能简洁
      • paddle::pten::Sign<T>
      • paddle::pten::Relu<T>
      • paddle::pten::Matmul<T>

3.5 编译

预计pten会作为底层计算库,独立编译,由上层框架执行体系调用,包括但不限于fluid,lite,cinnrt等,计算库在编译上不会反向依赖框架(现仍有依赖,后续会去掉)

四、现状说明

本PR只是初始实现,仅包含基础组件实现及少数简单Kernel的迁移验证,具体包括:

  • 基础枚举数据结构datatype,datalayout,backend新增
  • Tensor及DenseTensor的基础实现
  • 新Kernel的基础注册管理组件
  • 共计6个kernel的简单迁移改写:sign,mean,scale,dot,fill_any_like,flatten
  • 部分已迁移Kernel的API实现及测试
  • 已迁移kernel在原有动静态图执行体系下的适配调用

TODO说明

以下问题希望暂时先忽略,初始PR并不是最终态,后续会跟进完善,目前初始PR需要尽快合入以便于后续并行推进

  • Place、DDim、DeviceContext暂时使用了原先fluid的实现,后续会重写计算库相关实现
  • SelectedRows会在后续PR补充实现,由于暂未支持SelectedRows,test_scale_op单测中对于rows的前后检查对比目前无法通过,暂时注释
  • sign和scale目前并未实现API,因为目前实现的API仅用于跑通验证,目的并不是全面覆盖,后续API会自动生成,现少数API实现的代码也会被移除
  • API单测中也只有CPU测试,仅出于跑通验证目的,后续API的测试会通过动态图调用,复用现有Python单测进行检查,少数API单测代码也会被移除
  • 新kernel的测试是通过原Python端op单测检验的,执行调度上进行了适配,能够在原执行体系下直接调用新Kernel,并非没有单测
  • 新增临时FLAG run_pten_kernel 用于初期过渡,并且暂时会默认为 false,目前已经设置 run_pten_kerneltrue并通过全部CI,暂时改为 false 是为了不对现有模型的性能产生影响,目前直接调用新kernel会比调用原kernel略慢,后续会跟进优化
  • 原则上改写一个kernel会将原先**_op.h中的OpKernel::Compute实现移除,但目前仍然保留了一层壳,是因为移除Kernel需要确保新Kernel适配所有执行体系,目前只适配的原动态图和静态图执行体系,新的执行器及预测Predictor暂未适配,后续会跟进适配并移除原Kernel实现
  • pten内部目录结构目前可能对于kernel代码复用还不够友好,在后续演变过程中还会有所调整,并非最终态
  • 代码中还有诸多TODO,此处不一一展开了,后续都会跟进解决

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Please wait for the result of CI firstly. See Paddle CI Manual for details.

@chenwhql chenwhql changed the title [Demo for Discussion] The Tensor Design of Tensor Operation Library [WIP] The Tensor Design of Tensor Operation Library Aug 5, 2021
namespace experimental {

// TODO(shixiaowei): replaced by new DeviceContext later
using CPUContext = paddle::platform::CPUDeviceContext;
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[TODO] 提供新的 Context 数据结构

return {};
}

std::unique_ptr<pten::TensorBase> MakePtenTensorBaseFromVar(
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[TODO] 这里的性能很关键,需要后续优化

paddle::SmallVector<std::shared_ptr<pten::TensorBase>> tmp_outputs;
for (auto var : outs_vector) {
tmp_outputs.emplace_back(
experimental::MakePtenTensorBaseFromVar(var, out_def));
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[TODO] 这里的性能很关键,后续需要优化

#include "glog/logging.h"
#include "paddle/fluid/platform/enforce.h"

namespace pten {
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[TODO] 代码位置后续移动到 paddle/utils

* another simple Tensor design may be required for inference.
*/

class Tensor final {
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[TODO] 此高层 Tensor 是临时的,将以和 ext_tensor 的兼容作为第一目标

/// is to be compatible with allocators from different frameworks
/// without significant performance loss. This class does not
/// support being inherited.
class Allocation final {
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[TODO] 将双方框架的 Allocation 修改为此接口,减小不必要的开销

const int64_t size_{0};
};

class SharedStorage : public pten::Storage {
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[TODO] 头文件和接口分离

@@ -0,0 +1,10 @@
cc_test(pten_backend_test SRCS backend_test.cc DEPS gtest)
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[TODO] tests/ 目录结构需要细化,明确依赖

@@ -0,0 +1,5 @@
cc_library(math_cpu SRCS math.cc DEPS dense_tensor kernel_context kernel_factory eigen_function)
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[TODO] 后续另行提交 PR,目录结构建议细化为 x86host,不用 cpu 泛指

Shixiaowei02
Shixiaowei02 previously approved these changes Oct 28, 2021
jeff41404
jeff41404 previously approved these changes Oct 29, 2021
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lgtm

Superjomn
Superjomn previously approved these changes Oct 29, 2021
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LGTM

先有一个base

Avin0323
Avin0323 previously approved these changes Oct 30, 2021
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LGTM for PR-CI-OP-benchmark

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LGTM

@phlrain phlrain self-requested a review November 1, 2021 07:12
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LGTM for unity_build_rule.cmake

@chenwhql chenwhql merged commit b9fdd3b into PaddlePaddle:develop Nov 1, 2021
ghost pushed a commit to piotrekobi/Paddle that referenced this pull request Nov 3, 2021
…34425)

* initial tensor design & sign kernel demo

* add move constructor for meta & add lodtensor

* add dirs & sign xpu kernel

* add mean cpu&cuda kernel impl

* move sign & mean xpu & npu kernel

* add selected_rows basic impl

* refactor design, BaseTensor to DenseTensor, etc.

* add scale mkldnn kernel

* polish xpu & npu impl details

* fix mkldnn reuse compile failed

* change tensor operation lib name

* rename util filename

* add more comments

* change TensorImplInterface to TensorInterface

* add kernel key and factory

* remove MKLDNNTensorMeta, add MKLDNNDenseTensor

* change XXDeviceContext to XXContext

* add base kernel registrar utils & test on sign

* replace boost::any by paddle::any

* fix several ci failed

* fix npu compile error

* add ordered map util

* fix multiple ordered_map compile errors

* move dev into include dir

* support sign op in static op run

* fix static op run error

* fix new executor compile failed

* add dygraph branch & remove sign_op.h

* fix test_infer_no_need_buffer_slots

* fix rocm compile link error

* fix unitybuild error & clear glog

* fix npu compile failed

* skip quant trans test

* fix part windows compile problem

* fix xpu enforce error

* fix inference test failed

* remove ordered_map to solve quant failed

* fix part of rcom compile faild

* add more register kernels

* revert scale kernel temporarily

* fix code format error

* add new kernel registrar marco

* rename top to tcmpt

* revert xpu, npu, mkldnn impl & remove op def

* add kernel args parse functor to auto parse args

* revert some change & add scale kernels

* add op proto in dygraph kernelcontext building

* polish kernel dispatch logic & nameing rule

* fix scale kernel match error

* fix scale test failed

* add mean API and unittest

* test mean api success

* add branch to solve compiled error

* skip clang format error

* add mean skip rule in op_library

* add dot kernel, api and unittest (PaddlePaddle#6)

* remove old kernel and add symbol link

* fix dot compiled failed

* add merco for module declare

* fix npu and xpu compile error

* revert sign, mean, scale, dot kernel removing

* add comment for keeping old kernel impl

* fix mutable_data error

* fix bfloat16 conflit

* fix inference undef error

* adapt to msvc compile rules

* polish comment for template inst

* add cmake template instantiation for win

* fix backend to place device id bug

* fix ifdef error

* Op2functor (PaddlePaddle#7)

* add kernel args maker class

* make args maker non-const

* remove debug log

* modify codes by review options

* split constructPrKernelContext function

* fix output name bug

* fix test_mean_op test_sign_op failed

* fill_any_like kernel refactor (PaddlePaddle#10)

* fill_any_like kernel refactor

* remove useless code of full_like c++ api

* skip dtype for fill_any_like

* add attrs for kernel key constrcut

* add use_pt_kernel Flags to control whether to use pt kernel (PaddlePaddle#13)

* add use_pt_kernel Flags to control whether to use pt kernel

* change the default value to true for cheking pt kernels

* fix mutable_data cuda place error

* move high level apis into hapi

* remove selectedrows adapting temporarily

* Support Scalar in Tensor Compute Library (PaddlePaddle#14)

* fill_any_like kernel refactor

* remove useless code of full_like c++ api

* Support Scalar in Tensor Compute Library

* add scalar in dygraph and static graph mode

* keep the basic type for attr, instead of using scalar for all

* merge the code

* remove mkldnn tensor & polish details

* use flat_hash_map and small_vector in kernel factory

* Refactor flatten kernel (PaddlePaddle#12)

* refactor flatten kernel

* update infershape function

* fix compile bugs

* fix bugs when merge

* fix compiler bugs

* fix bugs when run test_flatten_api

* fix bugs when run test

* Revert "use flat_hash_map and small_vector in kernel factory"

This reverts commit 2309149.

* Move cpu, cuda and other device code into kernels (PaddlePaddle#15)

* fill_any_like kernel refactor

* remove useless code of full_like c++ api

* Support Scalar in Tensor Compute Library

* add scalar in dygraph and static graph mode

* keep the basic type for attr, instead of using scalar for all

* merge the code

* start refactor matmul

* move cpu, cuda and other device modules into kernels

* merge code

* polish code in operator.cc

* Perfect unitests (PaddlePaddle#16)

* perfect unittest

* update license

* replace with flat_hash_map, small_vector (PaddlePaddle#19)

* fix small_vector build error on windows platform

* replace with flat_hash_map, small_vector

* remove todo

* Perfect unitests (PaddlePaddle#20)

* perfect unittest

* update license

* fix bug when run tcmpt_utils_test

* refactor execution adapting impl

* fix insert conflit

* Fix CI bug of test_yolov3 (PaddlePaddle#21)

* fill_any_like kernel refactor

* remove useless code of full_like c++ api

* Support Scalar in Tensor Compute Library

* add scalar in dygraph and static graph mode

* keep the basic type for attr, instead of using scalar for all

* merge the code

* start refactor matmul

* move cpu, cuda and other device modules into kernels

* merge code

* polish code in operator.cc

* Fix CI bug of test_yolov3

* add the tensor base class, test=develop (PaddlePaddle#17)

* update the tensor base class, test=develop

* remove two funcs, test=develop

* update the error msg, test=develop

Co-authored-by: Chen Weihang <chenweihang@baidu.com>

* [no-verify] commit backend and tensor signature changes

* Rename tcmpt to pten (PaddlePaddle#23)

* rename tcmpt to pten

* update omitted files for rename to pten

* update omitted file for rename to pten

* remove k of all enum var

* remove kernel_instantiate (PaddlePaddle#26)

* remove symbols and spatial_tensor

* change common to functions

* readd share tensor impl methods

* add a candidate dense tensor class, test=develop (PaddlePaddle#28)

* change all Pt to Pten

* resolve conflit with xiaowei

* Op2functor opt1 (PaddlePaddle#27)

* replace to small vector and change to const &

* add std::move

Co-authored-by: Chen Weihang <chenweihang@baidu.com>

* polish kernel factory and kernel registry

* fix operator test error msg mismatch

* remove tensor signature and backend set member

* move scalar and polish enforce

* revert dtype layout change to fix error

* fix enum operator override error

* add several base unittests

* add pten utils tests

* polish some details

* Dev/op2func refactor 3 (PaddlePaddle#30)

* add a candidate dense tensor class, test=develop

* remove TensorBase::backend(), test=develop

* remove some ops, test=develop

* cherry-pick the pr of tensor meta, test=develop

* moves the dense tensor and some ops, test=develop

* update the linalg operator, test=develop

* update other operators, test=develop

* fix errors, test=develop

* fix bugs, test=develop

* try to resolve the problem of windows ci, test=develop

* updates codes, test=develop

* fix the tensor_utils.cc, test=develop

* modify the dense tensor, test=develop

* fix the data type, test=develop

Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

* polish some details

* polish kernel signature details

* fix a bug about offsets of the tensor, test=develop (PaddlePaddle#31)

Co-authored-by: shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

* polish some details

Co-authored-by: chentianyu03 <ctychentianyu@gmail.com>
Co-authored-by: zyfncg <1370305206@qq.com>
Co-authored-by: YuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: 石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>
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