parameters: (t1, t2, out_format, dtype=_cm.bool)
return_statement: return _compute_bin_elt_wise_op(operator.le, t1, t2, out_format, dtype)
docstring: Computes t1 <= t2 element-wise.
  
          * If the two tensors are equal order, performs the operation element-wise
  
          * If the two tensors have order N and M and N > M, requires the last M dimensions of the tensor with
            order N be equal to the dimensions of the tensor with order M in order to broadcast.
  
          The tensor class implements ``__le__`` using this method.
  
          Parameters
          -----------
          t1, t2: tensors, array_like
              tensors or array_like input operands.
  
          out_format: format, mode_format
              * If a :class:`format` is specified, the result tensor is stored in the format out_format.
              * If a :class:`mode_format` is specified, the result the result tensor has a with all of the dimensions
                stored in the :class:`mode_format` passed in.
  
          dtype: Datatype, optional
              The datatype of the output tensor.
  
          Notes
          --------
          The inner dimensions of the input tensor is broadcasted along the dimensions of whichever tensor has a higher
          order.
  
          Returns
          ---------
          leq: tensor
             A true value everywhere t1 <= t2 and a false value in all other locations.
docstring_summary: Computes t1 <= t2 element-wise.
docstring_tokens: Computes t1 < = t2 element - wise .
function: def tensor_le(t1, t2, out_format, dtype=_cm.bool):
      """
          Computes t1 <= t2 element-wise.
  
          * If the two tensors are equal order, performs the operation element-wise
  
          * If the two tensors have order N and M and N > M, requires the last M dimensions of the tensor with
            order N be equal to the dimensions of the tensor with order M in order to broadcast.
  
          The tensor class implements ``__le__`` using this method.
  
          Parameters
          -----------
          t1, t2: tensors, array_like
              tensors or array_like input operands.
  
          out_format: format, mode_format
              * If a :class:`format` is specified, the result tensor is stored in the format out_format.
              * If a :class:`mode_format` is specified, the result the result tensor has a with all of the dimensions
                stored in the :class:`mode_format` passed in.
  
          dtype: Datatype, optional
              The datatype of the output tensor.
  
          Notes
          --------
          The inner dimensions of the input tensor is broadcasted along the dimensions of whichever tensor has a higher
          order.
  
          Returns
          ---------
          leq: tensor
             A true value everywhere t1 <= t2 and a false value in all other locations.
      """
      return _compute_bin_elt_wise_op(operator.le, t1, t2, out_format, dtype)
function_tokens: def tensor_le ( t1 , t2 , out_format , dtype = _cm . bool ) : return _compute_bin_elt_wise_op ( operator . le , t1 , t2 , out_format , dtype )