Enrich the python error types of paddle & polish format

[chenwhql]

PR types

New features

PR changes

Others

Describe

Paddle框架中C++端5000余条不合规报错的逐条完善工作已经基本收尾，框架的报错质量相比一年前已经有了显著的提升，一年前，框架中仍有数千条过短的、表意不明的、甚至没有提示的报错，所以基于我们当时的状况，是不具备隐藏C++栈的条件的，一旦隐藏，很多原本就没有报错提示的出错基本就无法调试了，尽管那时竞品默认都是没有C++报错栈的。

但这一年经过大量同学的完善，报错整体的质量提升明显，我们是时候需要正视C++栈给大多数普通用户带来的困扰了。

依据婉婷的问卷调研和深访，C++栈大多数用户并不关心，且长期以来也一直被AIStudio的用户诟病，因此我们基本得出了：要在2.0正式版发布时，默认隐藏C++栈的结论。

但考虑到研发人员和资深用户可能仍然会依赖C++栈，我们也提供了便利的重新打开C++栈的方法：

配置环境变量：export FLAGS_call_stack_level=2

现在默认FLAGS_call_stack_level=2，本PR并没有设置默认隐藏C++栈，默认隐藏的配置后续再进行

---

基于以上背景，现在将paddle内部定义的报错类型映射至python端原生报错类型，以较为丰富的python原生报错类型替代原先理解成本较高的自定义异常paddle.fluid.core_avx.EnforceNotMet，使paddle 2.0的报错更加规范。

主要改动包括以下几点：

1. 移除理解成本高的paddle自定义异常paddle.fluid.core_avx.EnforceNotMet
   paddle截至目前为止，整个C++端都在使用这个不易理解的异常类型，这个类型和python的ValueError、TypeError是同级别的，但我们的EnforceNotMet着实生僻，统一使用python原生异常是更加标准的做法

2. 移除自定义分隔标志Error Message Summary
Error Message Summary确实在让用户更明显地看到的报错信息这一点上是有效果的，但是不够标准，这只是paddle独有的一种比较low的标志，一般python用户会找关键词***Error确认报错信息的位置，额外的分隔不是刚需，从长远考虑，我们应该保持自己的标准性，而不是引入一些奇怪的标志，因此本PR改为直接和原生python栈保持一样的报错效果

3. 将框架报错类型体系映射到python原生的异常体系
   不增加自定义的异常类型是目前的趋势，本PR将paddle内定义的报错类型按如下规则映射到的python原生的异常类型上，paddle内的错误类型作为子类型附在主报错类型之后，降低用户理解成本。

/* Paddle Exception mapping rules:
 *   - InvalidArgumentError -> ValueError
 *   - NotFoundError -> RuntimeError
 *   - OutOfRangeError -> IndexError
 *   - AlreadyExistsError -> RuntimeError
 *   - ResourceExhaustedError -> MemoryError
 *   - PreconditionNotMetError -> RuntimeError
 *   - PermissionDeniedError -> RuntimeError
 *   - ExecutionTimeoutError -> RuntimeError
 *   - UnimplementedError -> NotImplementedError
 *   - UnavailableError -> RuntimeError
 *   - FatalError -> SystemError
 *   - ExternalError -> OSError
 */ 

注意：本PR仅针对隐藏C++栈时的报错格式进行完善！以下示例为设置FLAGS_call_stack_level=1时的显示效果，目前FLAGS_call_stack_level默认仍为2，即默认显示C++栈，在显示C++栈的情况下，报错格式仍与之前一致，基本无变化。

Dynamic mode Example

Before this PR:

Traceback (most recent call last):
  File "base_error_case2.py", line 9, in <module>
    res = linear(data)
  File "/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/fluid/dygraph/layers.py", line 829, in __call__
    outputs = self.forward(*inputs, **kwargs)
  File "/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/fluid/dygraph/nn.py", line 970, in forward
    self._use_mkldnn)
paddle.fluid.core_avx.EnforceNotMet: 
----------------------
Error Message Summary:
----------------------
InvalidArgumentError: Input X's width should be equal to the Y's height, but received X's shape: [10, 2],Y's shape: [1, 10].
  [Hint: Expected mat_dim_x.width_ == mat_dim_y.height_, but received mat_dim_x.width_:2 != mat_dim_y.height_:1.] (at /work/paddle_py2/paddle/fluid/operators/matmul_op.cc:586)
  [operator < matmul > error]

After this PR:

Traceback (most recent call last):
  File "base_error_case2.py", line 9, in <module>
    res = linear(data)
  File "/usr/local/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py", line 829, in __call__
    outputs = self.forward(*inputs, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/paddle/fluid/dygraph/nn.py", line 970, in forward
    self._use_mkldnn)
ValueError: (InvalidArgument) Input X's width should be equal to the Y's height, but received X's shape: [10, 2],Y's shape: [1, 10].
  [Hint: Expected mat_dim_x.width_ == mat_dim_y.height_, but received mat_dim_x.width_:2 != mat_dim_y.height_:1.] (at /work/paddle/paddle/fluid/operators/matmul_op.cc:586)
  [operator < matmul > error]

Static mode Example

Before this PR:

Traceback (most recent call last):
  File "base_error_case1.py", line 29, in <module>
    loss_data, = exe.run(fluid.default_main_program(), feed={'X': x, 'Y': y}, fetch_list=[avg_loss.name])
  File "/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/fluid/executor.py", line 1107, in run
    six.reraise(*sys.exc_info())
  File "/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/fluid/executor.py", line 1105, in run
    return_merged=return_merged)
  File "/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/fluid/executor.py", line 1229, in _run_impl
    use_program_cache=use_program_cache)
  File "/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/fluid/executor.py", line 1314, in _run_program
    fetch_var_name)
paddle.fluid.core_avx.EnforceNotMet: 

  Compile Traceback (most recent call last):
    File "base_error_case1.py", line 12, in <module>
      predict = fluid.layers.fc(input=x, size=1, act=None)
    File "/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/fluid/layers/nn.py", line 352, in fc
      "y_num_col_dims": 1})
    File "/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op
      return self.main_program.current_block().append_op(*args, **kwargs)
    File "/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/fluid/framework.py", line 2917, in append_op
      attrs=kwargs.get("attrs", None))
    File "/usr/local/python2.7.15/lib/python2.7/site-packages/paddle/fluid/framework.py", line 2014, in __init__
      for frame in traceback.extract_stack():
----------------------
Error Message Summary:
----------------------
InvalidArgumentError: After flatten the input tensor X and Y to 2-D dimensions matrix X1 and Y1, the matrix X1's width must be equal with matrix Y1's height. But received X's shape = [8, 12], X1's shape = [8, 12], X1's width = 12; Y's shape = [13, 1], Y1's shape = [13, 1], Y1's height = 13.
  [Hint: Expected x_mat_dims[1] == y_mat_dims[0], but received x_mat_dims[1]:12 != y_mat_dims[0]:13.] (at /work/paddle_py2/paddle/fluid/operators/mul_op.cc:83)
  [operator < mul > error]

After this PR:

Traceback (most recent call last):
  File "base_error_case1.py", line 29, in <module>
    loss_data, = exe.run(fluid.default_main_program(), feed={'X': x, 'Y': y}, fetch_list=[avg_loss.name])
  File "/usr/local/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1107, in run
    six.reraise(*sys.exc_info())
  File "/usr/local/lib/python3.7/site-packages/six.py", line 703, in reraise
    raise value
  File "/usr/local/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1105, in run
    return_merged=return_merged)
  File "/usr/local/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1229, in _run_impl
    use_program_cache=use_program_cache)
  File "/usr/local/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1314, in _run_program
    fetch_var_name)
ValueError: In user code:

    File "base_error_case1.py", line 12, in <module>
      predict = fluid.layers.fc(input=x, size=1, act=None)
    File "/usr/local/lib/python3.7/site-packages/paddle/fluid/layers/nn.py", line 352, in fc
      "y_num_col_dims": 1})
    File "/usr/local/lib/python3.7/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op
      return self.main_program.current_block().append_op(*args, **kwargs)
    File "/usr/local/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2917, in append_op
      attrs=kwargs.get("attrs", None))
    File "/usr/local/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2014, in __init__
      for frame in traceback.extract_stack():

    InvalidArgumentError: After flatten the input tensor X and Y to 2-D dimensions matrix X1 and Y1, the matrix X1's width must be equal with matrix Y1's height. But received X's shape = [8, 12], X1's shape = [8, 12], X1's width = 12; Y's shape = [13, 1], Y1's shape = [13, 1], Y1's height = 13.
      [Hint: Expected x_mat_dims[1] == y_mat_dims[0], but received x_mat_dims[1]:12 != y_mat_dims[0]:13.] (at /work/paddle/paddle/fluid/operators/mul_op.cc:83)
      [operator < mul > error]

[paddle-bot-old]

Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

[zhiqiu]

LGTM

[jzhang533]

lgtm

[XiaoguangHu01]

LGTM