[Unify Tensors PR #1] Replaced pten::Allocation with shared_ptr<memory::Allocation> for Storage (#38301)

* Added shared_ptr<Allocation> member & corresponding interfaces to Storage

* Removed original pten::Allocation from Storage and adjusted the interfaces accordingly

* Fixed issues with storage offset

* Used place to malloc allocation for TensorStorage

* remove pre-init id in common_sparse_tabl.cc

* add new API/OP:paddle.Tensor.exponential_

* fix CI

* [MLU]add mlu op interface

* [MLU]fix alpha of activation op

 add pull gpups sparse op

* add new API/OP:paddle.poisson

* fix comment

* fix error when calling sublayer's non-forward func in dy2stat

* fix circular import using an inelegant way

* deal with parameters

* remove param_guard in __call__

* remove comment

* fix error when jit.load

* rename block var

* remove wrong code

* add unit test

* Consider InputSpec.name to calculate Cachekey hash id

* fix function

* add conv+hard_sigmoid fuse pass ut

* update conv_elementwise_add_mkldnn_fuse_pass ut

* update conv_hard_sigmoid_mkldnn_fuse_pass ut

* update conv+hard_sigmoid and conv+hard_swish fuse pass ut

* update ut

* update ut

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

move distribution.py into distribution package and split into different file for better scalability (#38047)

* First set of fixes

* - Make more likely to GetBlob find a blobs

* - Lint

* block warning when build demo_ci and infer_ut

* use build pipe line clone to test

* add control/status API, test=develop

* fix import error, test=develop

* add is_grad_enabled unittest, test=develop

* add code comment for example code and API, test=develop

* add checking for type, test=develop

* add api description, test=develop

* fix docs index_en, test=document_fix

* fix doc of is_floating_point, test=document_fix

add mem pool

* add erfinv API, test=develop

* fix gradient accuracy error, test=develop

* fix cuda compilation error on Windows, test=develop

* fix M_2_SQRTPI undeclared identifier on Windows, test=develop

* add align for WorkQueue

* add spinlock

* merge develop

* merge

* Add EventsWaiter

* Revert "Add EventsWaiter"

This reverts commit e206173aa9be7401b83a53581627bfaf557c8fb2.

* update EventsWater

* fix

* split workqueue files

* add more tests

* fix

* bugfix

* bugfix

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

* add empty and empty_like kernel in pten

* add empty dev_api

* support external stream.

* update

* update

* update

* add mkldnn conv_elementwise_add_mkldnn_fuse_pass ut

* update mkldnn conv_elementwise_add_mkldnn_fuse_pass ut

* update conv_elementwise_add_mkldnn_fuse_pass ut

* update conv_elementwise_add_mkldnn_fuse_pass ut

* update conv_elementwise_add_mkldnn_fuse_pass ut

* restrict conv2d data_format in conv_elementwise_add_mkldnn_fuse_pass

* update conv_elementwise_add_mkldnn_fuse_pass OpCompat

* update conv_elementwise_add_mkldnn_fuse_pass ut

* update ut

* add new API: paddle.clone;Tensor.element_size;nn.utils.parameters_to_vector

* fix comment

* add flatten2_matmul squeeze2_matmul reshape2_matmul test case

* modify skip func to ignore_pass_case func

* rebuild CI

* add test_xx_matmul_fuse_pass timeout

* add test_map_xx_pass timeout

* add max_duration of test cast

* add trt skip

* add timeout

* del commented code

* move dot kernel impl

* remove needless cmake items

* updates the pten allocation, test=develop

* avoids an error message, test=develop

* optimize gelu backward

* optimize gelu backward

* optimize code

* Number to expression

* Replacement number

* test if numpy=1.19.5 meet unittest's requirement

* modify numpy version required