> For the complete documentation index, see [llms.txt](https://docs.tensorleap.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/decorators/tensorleap_gt_encoder.md).

# @tensorleap\_gt\_encoder

The `tensorleap_gt_encoder`  decorates a [**Ground Truth Encoder**](/tensorleap-integration/writing-integration-code/ground-truth-encoder.md)**.**

```python
@tensorleap_gt_encoder(name='classes')
def gt_encoder(idx: int, preprocessing: PreprocessResponse) -> np.ndarray:
    pass
```

<table><thead><tr><th width="150">Args</th><th></th></tr></thead><tbody><tr><td><code>name</code></td><td><em>(str)</em> The name of the <strong>ground truth</strong>, e.g. classes </td></tr></tbody></table>

Returns:&#x20;

a np.ndarray gt (without a batch dimension)

### Examples

#### Basic Usage

```python
import numpy as np
from code_loader.contract.datasetclasses import PreprocessResponse
from code_loader.inner_leap_binder.leapbinder_decorators import tensorleap_gt_encoder
...
@tensorleap_gt_encoder('classes')
def gt_encoder(idx: int, preprocessing: PreprocessResponse) -> np.ndarray:
    return preprocessing.data['labels'][idx].astype('float32')
```

Usage within the full script can be found at [**Integration Script**](/tensorleap-integration/writing-integration-code.md#dataset-script).

#### Guides

Full examples can be found at the **Dataset Integration** section of the following guides:

* [**MNIST Guide**](/guides/full-guides/mnist-guide.md)
* [**IMDB Guide**](/guides/full-guides/imdb-guide.md)


---

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