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Mojo function

div

div(lhs: Symbol, rhs: Symbol, location: Optional[_SourceLocation] = Optional(None)) -> Symbol

Divides two symbolic tensors.

Creates a new op node to compute the division of two symbol tensor values and adds it to the graph, returning the symbolic result.

  • If lhs and rhs have different dtypes, they will be promoted according to the dtype promotion rules before the operation.
  • If lhs and rhs have different shapes, they will be broadcast to the same shape according to broadcasting rules before the operation.

Args:

  • ​lhs (Symbol): The symbol to use as left side of the division.
  • ​rhs (Symbol): The symbol to use as right side of the division.
  • ​location (Optional[_SourceLocation]): An optional location for a more specific error message.

Returns:

A symbolic tensor value representing the output of the division. The result will have: - the same dtype as the type-promotion of the two input dtypes - the same shape as the broadcast of the two input shapes.

Raises:

  • If the input values' shapes are not compatible for broadcasting. See _elementwise_broadcast() for more. - If one of the input values has an unsupported dtype. - If the two symbols are parts of different graphs.