mindelec.solver.EvalCallback

class mindelec.solver.EvalCallback(model, eval_ds, eval_interval)

Evaluate the model during training.

Parameters

• model (Model) – A testing network.

• eval_ds (Dataset) – Dataset to evaluate the model.

• eval_interval (int) – Specifies how many epochs to train before evaluating.

Supported Platforms:

Ascend

epoch_end(run_context)

Evaluate the model at the end of epoch.

Parameters

run_context (RunContext) – Context of the train running.