* Add param_guard in ParameterList to support @to_static

* Refactor param_guard of @to_static

* fix unittest failed

* add more unittest

* unit double

* unit double

* fix the paddle compare op for the broadcast

* fix compare op in for in the cuda device

* fix precision of mp

* fix bug of seed

* fix dp

* print group

* doc of paddle.save/load

* polish doc of paddle.save/load

* add use_global_beta_pow

* add use_global_beta_pow

* update npu kernel

* update python api

* refine code

* add ut for use_global_beta_pow

* fix npu kernel

* add ut for api

* add ut for exception

* add ut for save/load

* fix windows CI

* fix windows CI

* Fix comments in framework

* Update framework.py

* fix dataloader exit hang when join re-enter. test=develop

* fix cpp lint
* fix save/load with unexpected value
* fix save and user interface

* add varbasecopy func to fix the paraBase type bug in layers.to API

* overload _copy_to func for ParamBase

* add xpuplace

* add waiting varbsecopy completion when not blocking

* fix dst_device bug

* modify varbase to shared_ptr

* polish test decoupled py reader

* remove bin file

* fix retry in download when exception occurs

* fix find_unused_parameters default value

* add trainprofiler for heterps in oneps; test=develop

* add set_use_ps_gpu; test=develop

* add c_identity_op_npu

* refine update_loss_scaling npu kernel

* add mutable_data

* change Zerolike op to MemcpyAsync

* delete useless code

* add found_inf_vec

* add memcpy if not finite

* fix unittest

Remove np Deprecation Warning since `np.bool` is alias of `bool`

The warning report from test:

```
2021-04-30 15:29:32 /workspace/Paddle/build/python/paddle/fluid/framework.py:689: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
2021-04-30 15:29:32 Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
2021-04-30 15:29:32   elif dtype == np.bool:
2021-04-30 15:29:32 /workspace/Paddle/build/python/paddle/fluid/layers/utils.py:77: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
2021-04-30 15:29:32   return (isinstance(seq, collections.Sequence) and
2021-04-30 15:29:32 /workspace/Paddle/build/python/paddle/fluid/tests/unittests/test_cond.py:99: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
```