In [1]:                     >>> import numpy as np
   ...:                     >>> import paddle
   ...:                     >>> paddle.enable_static()
   ...:                     >>> data = paddle.static.data(name='X', shape=[None, 2, 28, 28], dtype='float
   ...: 32')

In [2]:                     >>> import numpy as np
   ...:                     >>> import paddle
   ...:                     >>> paddle.enable_static()
   ...:                     >>> data = paddle.static.data(name='X', shape=[None, 1, 28, 28], dtype='float
   ...: 32')
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[2], line 4
      2 import paddle
      3 paddle.enable_static()
----> 4 data = paddle.static.data(name='X', shape=[None, 1, 28, 28], dtype='float32')

File ~/venv38/lib/python3.8/site-packages/decorator.py:232, in decorate.<locals>.fun(*args, **kw)
    230 if not kwsyntax:
    231     args, kw = fix(args, kw, sig)
--> 232 return caller(func, *(extras + args), **kw)

File ~/venv38/lib/python3.8/site-packages/paddle/fluid/wrapped_decorator.py:26, in wrap_decorator.<locals>.__impl__(func, *args, **kwargs)
     23 @decorator.decorator
     24 def __impl__(func, *args, **kwargs):
     25     wrapped_func = decorator_func(func)
---> 26     return wrapped_func(*args, **kwargs)

File ~/venv38/lib/python3.8/site-packages/paddle/fluid/framework.py:558, in _static_only_.<locals>.__impl__(*args, **kwargs)
    553 def __impl__(*args, **kwargs):
    554     assert not _non_static_mode(), (
    555         "In PaddlePaddle 2.x, we turn on dynamic graph mode by default, and '%s()' is only supported in static graph mode. So if you want to use this api, please call 'paddle.enable_static()' before this api to enter static graph mode."
    556         % func.__name__
    557     )
--> 558     return func(*args, **kwargs)

File ~/venv38/lib/python3.8/site-packages/paddle/static/input.py:102, in data(name, shape, dtype, lod_level)
     99         shape[i] = -1
    101 if dtype:
--> 102     return helper.create_global_variable(
    103         name=name,
    104         shape=shape,
    105         dtype=dtype,
    106         type=core.VarDesc.VarType.LOD_TENSOR,
    107         stop_gradient=True,
    108         lod_level=lod_level,
    109         is_data=True,
    110         need_check_feed=True,
    111     )
    112 else:
    113     return helper.create_global_variable(
    114         name=name,
    115         shape=shape,
   (...)
    121         need_check_feed=True,
    122     )

File ~/venv38/lib/python3.8/site-packages/paddle/fluid/layer_helper_base.py:453, in LayerHelperBase.create_global_variable(self, persistable, *args, **kwargs)
    443 def create_global_variable(self, persistable=False, *args, **kwargs):
    444     """
    445     create global variable, note that there is no initializer for this global variable.
    446     Args:
   (...)
    451     Returns(Variable): the created variable.
    452     """
--> 453     return self.main_program.global_block().create_var(
    454         *args, persistable=persistable, **kwargs)

File ~/venv38/lib/python3.8/site-packages/paddle/fluid/framework.py:3836, in Block.create_var(self, *args, **kwargs)
   3834     var = _varbase_creator(*args, **kwargs)
   3835 else:
-> 3836     var = Variable(block=self, *args, **kwargs)
   3837     if 'initializer' in kwargs:
   3838         kwargs['initializer'](var, self)

File ~/venv38/lib/python3.8/site-packages/paddle/fluid/framework.py:1458, in Variable.__init__(self, block, type, name, shape, dtype, lod_level, capacity, persistable, error_clip, stop_gradient, is_data, need_check_feed, belong_to_optimizer, **kwargs)
   1456         shape = tuple(shape)
   1457         if shape != old_shape:
-> 1458             raise ValueError(
   1459                 "Variable '{0}' has been created before. The previous "
   1460                 "shape is {1}, the new shape is {2}. They are not "
   1461                 "matched.".format(self.name, old_shape, shape)
   1462             )
   1463 if dtype is not None:
   1464     if is_new_var:

ValueError: Variable 'X' has been created before. The previous shape is (-1, 2, 28, 28), the new shape is (-1, 1, 28, 28). They are not matched.