Function tensorflow::eager::raw_ops::quantized_batch_norm_with_global_normalization

pub fn quantized_batch_norm_with_global_normalization<'a, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>, T6: ToTensorHandle<'a>, T7: ToTensorHandle<'a>, T8: ToTensorHandle<'a>, T9: ToTensorHandle<'a>, T10: ToTensorHandle<'a>, T11: ToTensorHandle<'a>, T12: ToTensorHandle<'a>, T13: ToTensorHandle<'a>, T14: ToTensorHandle<'a>>(
    ctx: &'a Context,
    t: &T0,
    t_min: &T1,
    t_max: &T2,
    m: &T3,
    m_min: &T4,
    m_max: &T5,
    v: &T6,
    v_min: &T7,
    v_max: &T8,
    beta: &T9,
    beta_min: &T10,
    beta_max: &T11,
    gamma: &T12,
    gamma_min: &T13,
    gamma_max: &T14
) -> Result<[TensorHandle<'a>; 3]>

Shorthand for QuantizedBatchNormWithGlobalNormalization::new().call(&ctx, &t, &t_min, &t_max, &m, &m_min, &m_max, &v, &v_min, &v_max, &beta, &beta_min, &beta_max, &gamma, &gamma_min, &gamma_max).

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization