Row 4753
Content Data
This page contains data entry 4753 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
OK so I am aware that [Pixel Unshuffle](https://pytorch.org/docs/stable/generated/torch.nn.PixelUnshuffle.html) and [Pixel Shuffle](https://pytorch.org/docs/stable/generated/torch.nn.PixelShuffle.html#torch.nn.PixelShuffle) exist. What I want is a similar operation but instead of taking every other pixel, it splits the images into patches instead and an equivalent operation to reverse it.
I want to use this as an alternative to average pooling.
| Field | Value |
|---|---|
| text | OK so I am aware that [Pixel Unshuffle](https://pytorch.org/docs/stable/generated/torch.nn.PixelUnshuffle.html) and [Pixel Shuffle](https://pytorch.org/docs/stable/generated/torch.nn.PixelShuffle.html#torch.nn.PixelShuffle) exist. What I want is a similar operation but instead of taking every other pixel, it splits the images into patches instead and an equivalent operation to reverse it. I want to use this as an alternative to average pooling. |
| label | r/pytorch |
| dataType | post |
| communityName | r/pytorch |
| datetime | 2024-04-21 |
| username_encoded | Z0FBQUFBQm5LakwxdHR5amFnaFFXRDNvM2I0WHJhVjNXTXJXUElEMGJodTVxdXVOdmk5bDg2UUVfVVhVYU1iZGE1aHI0LU9CRXpBTU9TcVdzQUhNNDQ3d1RPeFVNTzR2eHc9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9GT2Jic3BydTU0SXVxRnJYN1ZWS1ZkV1lFZGh4cFlCQUVLWkdjSWo2bzI3cTZqdVl5aVg5TXZBMG5JNjh3YUdEVTNNUjY3ZDQxTjc0UmlpZHIyVmMxaEJfVVVlYUZ6SEk5X3V6a2xTM253eXRlYTkwaXZ1ZmFmVHQwU0N4RVI2YW42VkdyS0F1ZTFUN2JUOW5YTnFzcm92TXFhOWYtcXhSYktsWnBaWVVvMkZGTmNmSVJyNlJSSEZWcE1rV3Qtc0J3X0hYRm5IQlM5Qy1DRlZwakZPc0padz09 |
Raw Record
{
"text": "OK so I am aware that [Pixel Unshuffle](https://pytorch.org/docs/stable/generated/torch.nn.PixelUnshuffle.html) and [Pixel Shuffle](https://pytorch.org/docs/stable/generated/torch.nn.PixelShuffle.html#torch.nn.PixelShuffle) exist. What I want is a similar operation but instead of taking every other pixel, it splits the images into patches instead and an equivalent operation to reverse it.\n\n \nI want to use this as an alternative to average pooling. ",
"label": "r/pytorch",
"dataType": "post",
"communityName": "r/pytorch",
"datetime": "2024-04-21",
"username_encoded": "Z0FBQUFBQm5LakwxdHR5amFnaFFXRDNvM2I0WHJhVjNXTXJXUElEMGJodTVxdXVOdmk5bDg2UUVfVVhVYU1iZGE1aHI0LU9CRXpBTU9TcVdzQUhNNDQ3d1RPeFVNTzR2eHc9PQ==",
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}
Entry Information
- Entry ID: 4753
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000