Function QuantizedMul

tensorflow/go/op/wrappers.go:36350–36367

Returns x * y element-wise, working on quantized buffers. Arguments: min_x: The float value that the lowest quantized `x` value represents. max_x: The float value that the highest quantized `x` value represents. min_y: The float value that the lowest quantized `y` value represents. max_y: The

(scope *Scope, x tf.Output, y tf.Output, min_x tf.Output, max_x tf.Output, min_y tf.Output, max_y tf.Output, optional ...QuantizedMulAttr)

// *NOTE*: `QuantizedMul` supports limited forms of broadcasting. More about
// broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
func QuantizedMul(scope *Scope, x tf.Output, y tf.Output, min_x tf.Output, max_x tf.Output, min_y tf.Output, max_y tf.Output, optional ...QuantizedMulAttr) (z tf.Output, min_z tf.Output, max_z tf.Output) {
	if scope.Err() != nil {
		return
	}
	attrs := map[string]interface{}{}
	for _, a := range optional {
		a(attrs)
	}
	opspec := tf.OpSpec{
		Type: "QuantizedMul",
		Input: []tf.Input{
			x, y, min_x, max_x, min_y, max_y,
		},
		Attrs: attrs,
	}
	op := scope.AddOperation(opspec)
	return op.Output(0), op.Output(1), op.Output(2)
}

// QuantizedAddAttr is an optional argument to QuantizedAdd.
type QuantizedAddAttr func(optionalAttr)