mindelec.solver.EvalCallback

class mindelec.solver.EvalCallback(model, eval_ds, eval_interval)[source]

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)[source]

Evaluate the model at the end of epoch.

Parameters: run_context (RunContext) – Context of the train running.