* remove offset in storage

* revert api change

* fix custom op slice bug

* fix mutable_data error

* extend Distribution baseclass for supporting multivariant distribution and prob method

* add ExponentialFamily base class and entropy using Bregman divergence

* add dirichlet probability distribution

* add dirichlet sample op and cpu backend kernel

* add Dirichlet op cuda kernel  (#6)

* add dirichlet op hip kernel
Co-authored-by: NFeiyu Chan <chenfeiyu@baidu.com>

* Fix the bug of batch_norm and batch_norm_grad op. Add the "roi_align" and "roi_align_grad" op in xpu2 op list.

* Fix the bug of batch_norm and batch_norm_grad op. Add the "roi_align" and "roi_align_grad" op in xpu2 op list. test=kunlun
Co-authored-by: NZibin <guozibin@baidu.com>

* fix bug of dp in pfp16

* fix topo

add hashtable dynamic mf support

add dynamic mf size api

* add bn_1d_2d_3d for fp16 decorate

* add unittest

* auto parallel sharding base

* chmod

* add unitest

* set unitest cmake dist label

* revise code according to rewiew

* chmod

* add align for WorkQueue

* add spinlock

* merge develop

* merge

* Add EventsWaiter

* Revert "Add EventsWaiter"

This reverts commit e206173aa9be7401b83a53581627bfaf557c8fb2.

* update OS info

* split host_event_recorder

* split host_event_recorder

* update

* update

* update

* update

* update

* update

* update
Co-authored-by: Nliutiexing <liutiexing@google.com>

Fix Buddy Allocator random CI failure due to machine environment.

* del mkldnn options of baseline

* add timeout for matmul_scale_fuse_pass

* add timeout for matmul

* add argsort/scatter for kunlun

* update test_scatter

* update xpu.cmake

* update xpu.cmake

* fix scatter

* first commit

* pass ctest of  elementwise_div_grad

* fix reshape move storage error

* remove needless set type

* alloc tensor by shared storage

* Utilize StreamSafeCUDAAllocator to support fast GC in new executor

* Fix compile error for Windows and ROCm

* Fix compile error for Windows

* Modify UT stream_safe_cuda_alloc_test

* Modify UT stream_safe_cuda_alloc_test

* Rewrite fast GC

* Rewrite fast GC

* Fix compile error for BOOST_GET_CONST

* Fix compile error for BOOST_GET_CONST

* Changes default stream for StreamSafeCUDAAllocator

* Fix a small CI error

* Remove some redundant code

* Fix conflict

* Fix compile error for ROCm

* Fix Windoes CI error

* Fix CI error

* Remove some unnecessary code

* Fix CI error

* Add UT for fast GC

* Fix CI error

* add device-agnostic stream class

* add stream.h

* fix ut

* fix cpu compile

* Use RWLock in GetAllocator

* Fix CI error
Co-authored-by: NChen Weihang <chenweihang@baidu.com>
Co-authored-by: Nzhiqiu <chenqiuliang@baidu.com>

* add matmul_to_mul matmul_v2_to_mul matmul_v2_to_matmul test case

* modify skip func to ignore_pass_case func

* rebuild CI

* rebuild CI

* add test_map_xx_pass timeout

* add test_map_xx_pass timeout

* merge from develop

* add timeout notest;test=coverage

* Cmakelist add timeout

* add timeout

* add attr of matmul_v2

* add trt skip

* delete trt config

* add skip,  mul diff on 3080

* Rearranged Eager AutoCodeGen directory structure

* Removed USE_OP in Eager AutoCodeGen

* Enabled generation for Operators without Grad/Inputs/Outputs

* Resolved operators without input

* Fixed merge conflicts

* Enabled Eager AutoCodeGen for 10+ more operators

* Refactored Eager AutoCodeGen with more organized helper objects

* Enabled Eager AutoCodeGen for operators with multiple OpBases

* Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument

* Handled Dispensable Inputs/Outputs in Eager AutoCodeGen

* Adjusted function generation/call between Python-C API & Dygraph API

* Synchronized auto-generated Python-C API with Dygraph Forward Functions

* support more eager tensor api

* fix merge compile error

* fix compile error and fit develop code

* support pure CPU

* fix some logic error in eager_mode

* support _varbase_creator in eager mode

* Added safe_initialized interface to EagerTensor for use in processing dispensable inputs

* for eager mode

* refine

* support multiple constructor for eager tensor

* add place related code

* polish code

* specific randint with dtype of int64

* Support pure cpu test

* eager logic

* refine test in pure cpu

* eager logic

* eager logic

* eager logic, test=develop

* skip core.eager when in inference, test=develop

* refine, test=develop

* refine, test=develop

* call RetainGrad after run forward kernel, test=develop

* refine, test=develop

* support dygraph util, meta, guard test

* support inference test

* refine test and fix initializer failed

* support create varbase and fix retain grad error

* fix windows error

* support test code coverage

* support test code coverage

* support test code coverage
Co-authored-by: Njim19930609 <jim19930609@gmail.com>
Co-authored-by: NWang Huan <wanghuan29@baidu.com>