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Add NN Vision Functions to Paddle Frontend #15056
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paddle.nn.functional.vision
NN Vision Functions to PaddlePaddle Frontendpaddle.nn.functional.vision
NN Vision Functions to Paddle Frontend
import paddle Example usage of a function from paddle.nn.functional.visioninput_tensor = paddle.randn([1, 3, 224, 224]) # Example input tensor Apply the resize function from paddle.nn.functional.visionresized_tensor = F.resize(input_tensor, size=(256, 256)) print("Input tensor shape:", input_tensor.shape) |
affine_grid#19061 |
paddle.nn.functional.vision
NN Vision Functions to Paddle Frontend
-[NN vision fucntion] #23393 |
assign to me, working on it, I think this might be some context missing. If you're experiencing an issue, could you please provide more details about what the problem is, or specify which part of the code you're having trouble with? This additional information will help in providing a more targeted explanation or solution. |
Review My PR please |
so this PR will merge or not @AnnaTz |
Which PR are you referring to @Aryan8912? |
review this PR @AnnaTz |
Add NN Vision Functions to PaddlePaddle Frontend
Please keep in mind that the proper way to link an issue to this list is to comment "- [ ] #issue_number" while the issue's title only includes the name of the function you've chosen.
grid_sample #21957
pixel_shuffle #21000
pixel_unshuffle
pixel_unshuffle #23276
channel_shuffle #22392
The main file paths where these functions are likely to be added are:
ivy/functional/frontends/paddle/nn/functional/vision.py
ivy_tests/test_ivy/test_frontends/test_paddle/test_nn/test_functional/test_vision.py
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