1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],
        keepdims=True) # Author code uses std + 1e-5 return
        super().convolution_op(inputs, (kernel - mean) / tf.sqrt(var + 1e-10))`

                                  type: array
                                failoverPriority:
                                  description: failoverPriority is an ordered list
                                    of labels used to sort endpoints to do priority
                                    based load balancing.
                                  items:
                                    type: string
                                  type: array

	//TODO: FRSTORL (R11)                   // 41dd23
	FSCALE                                  // d9fd
	FSIN                                    // d9fe
	FSINCOS                                 // d9fb
	FSQRT                                   // d9fa
	//TODO: FST F2                          // ddd2
	//TODO: FST F3                          // ddd3
	//TODO: FSTS (BX)                       // d913