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Small edits (#865)

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pollfly
2024-07-01 10:07:19 +03:00
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16 changed files with 258 additions and 220 deletions
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4
docs/guides/frameworks/pytorch/pytorch_distributed_example.md
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@@ -16,8 +16,8 @@ The script does the following:
* Hyperparameters - Hyperparameters created in each subprocess Task are added to the main Task's hyperparameters.
Each Task in a subprocess references the main Task by calling [`Task.current_task()`](../../../references/sdk/task.md#taskcurrent_task),
which always returns the main Task.
Each Task in a subprocess references the main Task by calling [`Task.current_task()`](../../../references/sdk/task.md#taskcurrent_task),
which always returns the main Task.
1. When the script runs, it creates an experiment named `test torch distributed` in the `examples` project in the **ClearML Web UI**.

26
docs/guides/frameworks/pytorch_ignite/pytorch_ignite_mnist.md
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@@ -25,23 +25,23 @@ Integrate ClearML with the following steps:
1. Create a `ClearMLLogger` object. When the code runs, it connects to the ClearML backend, and creates a task in ClearML
(see ClearMLLogger's parameters [below](#parameters)).
```python
from ignite.contrib.handlers.clearml_logger import ClearMLLogger
```python
from ignite.contrib.handlers.clearml_logger import ClearMLLogger
clearml_logger = ClearMLLogger(project_name="examples", task_name="ignite")
```
clearml_logger = ClearMLLogger(project_name="examples", task_name="ignite")
```
1. Attach helper handlers to the `ClearMLLogger` object.
For example, attach the `OutputHandler` to log training loss at each iteration:
```python
clearml_logger.attach(
trainer,
log_handler=OutputHandler(tag="training",
output_transform=lambda loss: {"loss": loss}),
event_name=Events.ITERATION_COMPLETED
)
```
For example, attach the `OutputHandler` to log training loss at each iteration:
```python
clearml_logger.attach(
trainer,
log_handler=OutputHandler(tag="training",
output_transform=lambda loss: {"loss": loss}),
event_name=Events.ITERATION_COMPLETED
)
```
### Parameters
The following are the `ClearMLLogger` parameters: