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# Ptv Dataset Loader
A node to combine the dataset and data loader into a single node.
Transform is internally called to convert input data to PyTorch tensors.
Parameters
**name**
Specify the dataset class name such as MNIST, FashionMNIST in string.
This will be converted to a dataset class internally.
**download**
Set to True if you want to download.
**root**
Specify the root directory of the downloaded dataset relative to the
dataset directory of this extension, or specify the absolute path.
If you leave as a blank, the dataset will be downloaded under the `datasets` directory
of this extension.
**batch_size**
The number of samples per batch.
**shuffle**
If True, shuffles the dataset before each epoch.
**dataset parameters**
Specify other parameters in Python dict format.
For example, if you want to set Train parameter to True to download the train set, specify:
```
{"train": True}
```
or if you want to download the test set, specify:
```
{"train": False}
```
**load parameters**
Additional parameters in Python dictionary format.
## Input
| Name | Data type |
|---|---|
| name | String |
| download | Boolean |
| root | String |
| batch_size | Int |
| shuffle | Boolean |
| dataset_parameters | String |
| load_parameters | String |
## Output
| Data type |
|---|
| Ptdataloader |
<HR>
Category: PyTorch wrapper - Training
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