Mojo function
div
div(lhs: Symbol, rhs: Symbol, location: Optional[_SourceLocation] = #kgen.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
andrhs
have different dtypes, they will be promoted according to the dtype promotion rules before the operation. - If
lhs
andrhs
have different shapes, they will be broadcast to the same shape according to broadcasting rules before the operation.
Args:
- βlhs (
Symbol
): The symbol to use as left side of the division. - βrhs (
Symbol
): The symbol to use as right side of the division. - βlocation (
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.
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