  '''
  Multiple plaidml implementation.
  '''
  
  import plaidml
  
  
  def pad(data, paddings, mode="CONSTANT", name=None, constant_value=0):
 
</s> remove def pad(data, paddings, mode="CONSTANT", name=None, constant_value=0):
    """ PlaidML Pad """
 </s> add def pad(data: plaidml.tile.Value,
        paddings,
        mode: str = "CONSTANT",
        name: Optional[str] = None,  # pylint:disable=unused-argument
        constant_value: int = 0) -> plaidml.tile.Value:
    """ PlaidML Pad

    Notes
    -----
    Currently only Reflect padding is supported.

    Parameters
    ----------
    data :class:`plaidm.tile.Value`
        The tensor to pad
    mode: str, optional
        The padding mode to use. Default: `"CONSTANT"`
    name: str, optional
        The name for the operation. Unused but kept for consistency with tf.pad. Default: ``None``
    constant_value: int, optional
        The value to pad the Tensor with. Default: `0`

    Returns
    -------
    :class:`plaidm.tile.Value`
        The padded tensor
    """ </s> remove def is_plaidml_error(error):
 </s> add def is_plaidml_error(error: Exception) -> bool:
#!/usr/bin/env python3
""" PlaidML helper Utilities """
from typing import Optional
#!/usr/bin/env python3
""" PlaidML helper Utilities """
from typing import Optional
#!/usr/bin/env python3
""" PlaidML helper Utilities """
from typing import Optional
#!/usr/bin/env python3
""" PlaidML helper Utilities """
from typing import Optional
  
  import plaidml
  
  
  def pad(data, paddings, mode="CONSTANT", name=None, constant_value=0):
replace replace replace keep keep keep keep keep
 Add Flip Loss Function
    - Add Flip for AMD and TF
    - Split Perceptual Loss functions to own modules
    - Fix allowed input shape for models
    - Allow GUI tooltip to display at higher width 
lib/plaidml_utils.py