Function FakeQuantWithMinMaxArgs

tensorflow/go/op/wrappers.go:26793–26810

Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type. Attributes `[min; max]` define the clamping range for the `inputs` data. `inputs` values are quantized into the quantization range (`[0; 2^num_bits - 1]` when `narrow_range` is false and `[1; 2^num_bits - 1]` when it is

(scope *Scope, inputs tf.Output, optional ...FakeQuantWithMinMaxArgsAttr)

//
// Quantization is called fake since the output is still in floating point.
func FakeQuantWithMinMaxArgs(scope *Scope, inputs tf.Output, optional ...FakeQuantWithMinMaxArgsAttr) (outputs tf.Output) {
	if scope.Err() != nil {
		return
	}
	attrs := map[string]interface{}{}
	for _, a := range optional {
		a(attrs)
	}
	opspec := tf.OpSpec{
		Type: "FakeQuantWithMinMaxArgs",
		Input: []tf.Input{
			inputs,
		},
		Attrs: attrs,
	}
	op := scope.AddOperation(opspec)
	return op.Output(0)
}

// 3D real-valued fast Fourier transform.
//