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pollfly
2023-12-03 14:27:46 +02:00
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docs/integrations/ignite.md
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@@ -8,7 +8,7 @@ instructions.
:::
[PyTorch Ignite](https://pytorch.org/ignite/index.html) is a library for training and evaluating neural networks in
PyTorch. You can integrate ClearML into your code using Ignite’s built-in loggers: [TensorboardLogger](#tensorboardlogger)
PyTorch. You can integrate ClearML into your code using Ignite's built-in loggers: [TensorboardLogger](#tensorboardlogger)
and [ClearMLLogger](#clearmllogger).
## TensorboardLogger
@@ -92,7 +92,7 @@ Integrate ClearML with the following steps:
# Attach the logger to the trainer to log model's weights as a histogram
clearml_logger.attach(trainer, log_handler=WeightsHistHandler(model), event_name=Events.EPOCH_COMPLETED(every=100))
# Attach the logger to the trainer to log model’s gradients as scalars
# Attach the logger to the trainer to log model's gradients as scalars
clearml_logger.attach(
trainer, log_handler=GradsScalarHandler(model), event_name=Events.ITERATION_COMPLETED(every=100)
)