class_docstr: Returns a tensor with the same shape as the input tensor filled with a constant value.
  
  Parameters
  ----------
  ref_tensor: tensor<\*?, T> (Required)
      * Input tensor.
  value: const<U> (Optional)
      * Default is ``0.0``.
      * Constant value to fill in.
  
  Returns
  -------
  tensor<\*?, T>
      * Tensor with shape determined by the input tensor.
  
  Attributes
  ----------
  T: fp16, fp32, int32, bool
  U: fp16, fp32, int32, bool
class_docstr_tok: ["Returns","a","tensor","with","the","same","shape","as","the","input","tensor","filled","with","a","constant","value",".","Parameters","--","--","--","--","--","ref_tensor",":","tensor","<","\\","*","?",",","T",">","(","Required",")","*","Input","tensor",".","value",":","const","<","U",">","(","Optional",")","*","Default","is","``","0.0","``",".","*","Constant","value","to","fill","in",".","Returns","--","--","--","-","tensor","<","\\","*","?",",","T",">","*","Tensor","with","shape","determined","by","the","input","tensor",".","Attributes","--","--","--","--","--","T",":","fp16",",","fp32",",","int32",",","bool","U",":","fp16",",","fp32",",","int32",",","bool"]
code: def default_inputs(self):
      return DefaultInputs(value=0.0)
  
file_path: coremltools/coremltools/converters/mil/mil/ops/defs/iOS16/tensor_operation.py
imports: import numpy
  from coremltools.converters.mil.mil import types
  from coremltools.converters.mil.mil.input_type import DefaultInputs, InputSpec, TensorInputType
  from coremltools.converters.mil.mil.operation import VALUE, Operation, precondition
  from coremltools.converters.mil.mil.ops.defs._op_reqs import register_op
  from coremltools.converters.mil.mil.ops.defs.iOS15.tensor_operation import topk
  from coremltools.converters.mil.mil.ops.defs.iOS16 import _IOS16_TARGET
label_desc: Use image node_id 1 for calling the fill_like obj's underlying member method code with example usage: obj.default_inputs() and returns: DefaultInputs