feat: initial nnx port #3
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SauravMaheshkar
added
feature 🚀
tests/test_math.py
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| from jflux.math import attention, rope, apply_rope | ||
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| @pytest.mark.xfail |
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@ariG23498 I've temporarily added this because the tests are failing. Might be because I'm running on a non GPU machine (M1 macbook)
| expected_shape = (self.batch_size, self.seq_len, self.dim // 2, 2, 2) | ||
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| self.assertEqual( | ||
| rope_output.shape, expected_shape, "rope function output shape is incorrect" |
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Also I think we should use chex assertions, viz. https://github.com/google-deepmind/chex?tab=readme-ov-file#assertions-assertspy
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Merging this and working on a different branch for the later updates! |
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Fixes #2