parameters: (input_tensor, reduction_indices=None, keep_dims=False,
                  name=None)
return_statement: return gen_math_ops._prod(input_tensor, _ReductionDims(input_tensor,
                                                           reduction_indices),
                              keep_dims, name=name)
docstring: Computes the product of elements across dimensions of a tensor.
  
    Reduces `input_tensor` along the dimensions given in `reduction_indices`.
    Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each
    entry in `reduction_indices`. If `keep_dims` is true, the reduced dimensions
    are retained with length 1.
  
    If `reduction_indices` has no entries, all dimensions are reduced, and a
    tensor with a single element is returned.
  
    Args:
      input_tensor: The tensor to reduce. Should have numeric type.
      reduction_indices: The dimensions to reduce. If `None` (the default),
        reduces all dimensions.
      keep_dims: If true, retains reduced dimensions with length 1.
      name: A name for the operation (optional).
  
    Returns:
      The reduced tensor.
docstring_summary: Computes the product of elements across dimensions of a tensor.
docstring_tokens: Computes the product of elements across dimensions of a tensor .
function: def reduce_prod(input_tensor, reduction_indices=None, keep_dims=False,
                  name=None):
    """Computes the product of elements across dimensions of a tensor.
  
    Reduces `input_tensor` along the dimensions given in `reduction_indices`.
    Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each
    entry in `reduction_indices`. If `keep_dims` is true, the reduced dimensions
    are retained with length 1.
  
    If `reduction_indices` has no entries, all dimensions are reduced, and a
    tensor with a single element is returned.
  
    Args:
      input_tensor: The tensor to reduce. Should have numeric type.
      reduction_indices: The dimensions to reduce. If `None` (the default),
        reduces all dimensions.
      keep_dims: If true, retains reduced dimensions with length 1.
      name: A name for the operation (optional).
  
    Returns:
      The reduced tensor.
    """
    return gen_math_ops._prod(input_tensor, _ReductionDims(input_tensor,
                                                           reduction_indices),
                              keep_dims, name=name)
function_tokens: def reduce_prod ( input_tensor , reduction_indices = None , keep_dims = False , name = None ) : return gen_math_ops . _prod ( input_tensor , _ReductionDims ( input_tensor , reduction_indices ) , keep_dims , name = name )