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flax.linen.apply takes state as the first param, followed by the input (#12510)

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Navjot 2021-07-05 07:03:14 -07:00 committed by GitHub
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examples/research_projects/jax-projects/README.md
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@ -621,7 +621,7 @@ state = model_flax.init(rng, dummy_input_ids)
and then we can do the forward pass.
```python
sequences = model_flax.apply(input_ids, state)
sequences = model_flax.apply(state, input_ids)
```
Visually, the forward pass would now be represented as passing all tensors required for the computation to the model's object: