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paddle frontend unfold #21590

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paddle frontend unfold #21590

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Deepdive543443
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Close #21565

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Thanks for contributing to Ivy! 😊👏
Here are some of the important points from our Contributing Guidelines 📝:
1. Feel free to ignore the run_tests (1), run_tests (2), … jobs, and only look at the display_test_results job. 👀 It contains the following two sections:
- Combined Test Results: This shows the results of all the ivy tests that ran on the PR. ✔️
- New Failures Introduced: This lists the tests that are passing on master, but fail on the PR Fork. Please try to make sure that there are no such tests. 💪
2. The lint / Check formatting / check-formatting tests check for the formatting of your code. 📜 If it fails, please check the exact error message in the logs and fix the same. ⚠️🔧
3. Finally, the test-docstrings / run-docstring-tests check for the changes made in docstrings of the functions. This may be skipped, as well. 📚
Happy coding! 🎉👨‍💻

@ivy-leaves ivy-leaves added the Paddle Frontend Developing the Paddle Frontend, checklist triggered by commenting add_frontend_checklist label Aug 10, 2023
@ivy-seed ivy-seed assigned Dsantra92 and AnnaTz and unassigned Dsantra92 Aug 10, 2023
channels = draw(helpers.ints(min_value=1, max_value=3))

x = draw(
helpers.array_values(dtype=dtype[0], shape=[1, channels, h_size, w_size], min_value=0, max_value=1)
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We should be generating a random number of batches instead of hardcoding it to 1. Otherwise we are not fully testing the function.


x = draw(
helpers.array_values(dtype=dtype[0], shape=[1, channels, h_size, w_size], min_value=0, max_value=1)
)
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Also, please resolve the lint errors detected by our CI checks shown at the bottom of the PR page.

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