mindspore.train.TimeMonitor

class mindspore.train.TimeMonitor(data_size=None, data_time=False)

Monitor the time in train or eval process.

Parameters

• data_size (int) – How many steps are the intervals between print information each time. if the program get batch_num during training, data_size will be set to batch_num, otherwise data_size will be used. Default: None .

• data_time (bool) – Whether to sow the average time of fetching data in Host. Note that data fetch and network compute are processed sequentially in non dataset sink mode, while they are asynchronous in dataset sink mode. Default: False .

Raises

• ValueError – If data_size is not positive int.

• TypeError – If data_time is not bool.

Examples

>>> from mindspore import nn
>>> from mindspore.train import Model, TimeMonitor
>>>
>>> # Define the network structure of LeNet5. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/lenet.py
>>> net = LeNet5()
>>> loss = nn.SoftmaxCrossEntropyWithLogits(sparse=True, reduction='mean')
>>> optim = nn.Momentum(net.trainable_params(), 0.01, 0.9)
>>> model = Model(net, loss_fn=loss, optimizer=optim)
>>> # Create the dataset taking MNIST as an example. Refer to
>>> # https://gitee.com/mindspore/docs/blob/r2.2/docs/mindspore/code/mnist.py
>>> dataset = create_dataset()
>>> time_monitor = TimeMonitor()
>>> model.train(10, dataset, callbacks=time_monitor)

epoch_begin(run_context)

Record time at the beginning of epoch.

Parameters

run_context (RunContext) – Context of the process running. For more details, please refer to mindspore.train.RunContext.

epoch_end(run_context)

Print process cost time at the end of epoch.

Parameters

run_context (RunContext) – Context of the process running. For more details, please refer to mindspore.train.RunContext.

on_train_step_begin(run_context)

Record time at the beginning of step.

Parameters

run_context (RunContext) – Context of the process running. For more details, please refer to mindspore.train.RunContext.

on_train_step_end(run_context)

Record time at the end of step.

Parameters

run_context (RunContext) – Context of the process running. For more details, please refer to mindspore.train.RunContext.