tf.layers.SquaredErrorLayer module#

class tf.layers.SquaredErrorLayer.SquaredErrorLayer(*args: Any, **kwargs: Any)#

Bases: modelzoo.common.tf.layers.BaseLayer.BaseLayer

Squared error between prediction and labels.

Parameters

  • boundary_casting (bool) – If True, outputs the values in half precision and casts the input values up to full precision.

  • tf_summary (bool) – If True, saves the activations with summary_layer.

call(labels, pred)#

Calculates the squared error between prediction and labels.

Parameters

  • labels (Tensor) – Labels.

  • pred (Tensor) – Predictions (same shape as labels).

Returns

Loss tensor of the same shape and type as pred.

Return type

Tensor