moneyshot | python scripts to aid you in the final steps

def map_flat_values(op, *args, **kwargs):
  """Applies `op` to the `flat_values` of one or more RaggedTensors.

  Replaces any `RaggedTensor` in `args` or `kwargs` with its `flat_values`
  tensor (which collapses all ragged dimensions), and then call  

def map_structure_up_to(shallow_tree, func, *inputs, **kwargs):
  """Applies a function or op to a number of partially flattened inputs.

  The `inputs` are flattened up to `shallow_tree` before being mapped.

  Use Case:

  Sometimes we wish to appl  

def map_to_output_names(y_pred, output_names, struct):
  """Maps a dict to a list using `output_names` as keys.

  This is a convenience feature only. When a `Model`'s outputs
  are a list, you can specify per-output losses and metrics as
  a dict, w