1. when slice_item is a slice: 
 1) the start of __getitem__ should be std::max(start, 0) if slice
 2) the start of __getitem__ should be std::min(end, dim) 
2. when slice_item is an integer, it should be in [-dim_len, dim_len) 
3. Fix error message to use accurate data

* add attribute for batch_norm

* fix beam search bug

* add dygraph unittest

* update dynamic_decode argument doc

* add warning info for state which has no lengths attribute

* Support storage of large parameters

* Reduce the complexity of the unittest

* Reduce the complexity of the unittest,commented out unittest for

* add unittest for static.save/load

* Increase the timeout threshold of 'test_static_save_load'

* Increase the timeout threshold of 'test_static_save_load'

* Increase the timeout threshold of 'test_static_save_load' and 'test_paddle_save_load'

* Increase the timeout threshold of 'test_static_save_load' and 'test_paddle_save_load'

* add trace op_register_version and fix defaulf bug; test=op_version

* add trace op_register_version; test=op_version

* add trace op_register_version; test=op_version

* add trace op_register_version; test=op_version

* fix missing the template bug of vector; test=op_version

* fix the formate of raising error in randperm op

* add topo aware

* resource.h

* topo aware

* format

* support dygraph in xpu place; test=develop

* fix cpu/gpu compile error; test=develop

* fix compile error; test=develop

* fix xpu compile error; testd=develop

* Avoid the scale to be infinity in quant2_int8_mkldnn_pass, test=develop
* support quantized model for paddle2.0 dygraph, test=develop

* set flags_selectedd_gpus for spawn

* add cond for unittest

* Delete test_no_single_process_using_multi_gpus_in_spawn.py

* Update spawn.py

* Update nccl_context.cc

* p_norm fix op version info. test=develop

* for inference checkpoint

Change-Id: I36c979240ffa55bf1ef0c9315402960762af6be4

* for inference checkpoint

Change-Id: I82025365d5b792cbea1ead506df685aecc8ac198

* memory holder optimize

Change-Id: Ic91af8ac6f2853336d28a9fbbc5e8d0c57b5d05e

* memory holder optimize

Change-Id: I2fd1c14ecc17f5d5ce88b87890381ea801e6367f

* fix large scale memory holder

Change-Id: Ief0992b02b00220e16c72cc637a56e7b5788140f

* fix large scale memory holder

Change-Id: I910142a3952ead643a5604f8f80955f3e6efe655

* fix op version checker of pass bug

* fix code style

* update  pass version

* zero_copy_tensor supports int8_t

* add alias for upsample, test=develop

* add alias for upsample

* fix example

* register instance norm, test=op_version

Co-authored-by: Nzhoushunjie <zhoushunjie@baidu.com>

* Register op version for linspace,test=op_version

* Register op version for linspace,test=op_version

* Register op version for linspace,test=op_version

* Register op version for linspace,test=op_version

* Register op version for linspace,test=op_version

* test=develop, add op_register_version for roll_op

* dot op support complex types

* matmul support complex types

* add test case

* matmul broadcast gradient support complex

* move conjFunctor to complex_functor.h

* update, test=develop

* fix rank_attention, test=op_version

* add distributed.split, test=develop