[nnx] use jax-style transforms API in nnx_basics #4155
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| @@ -225,22 +225,24 @@ input (scan over layers). | |||
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| Notice the following: | |||
| 1. The `create_model` function creates a (single) `MLP` object that is lifted by | |||
| `nnx.vmap` to have an additional dimension of size `axis_size`. | |||
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Can you say more explicitly that 5 MLP layers are created because keys has 5 dimensions, and vmap inferred the axis_size from it? This now looks a bit confusing b/c the user would have to guess how do we customize the number of layers here.
I actually still prefer if we can explicitly customize the number of layers in nnx.vmap line, instead of implicitly at the keys line.
docs/nnx/nnx_basics.md
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| 2. The `forward` function indexes the `MLP` object's state to get a different set of | ||
| parameters at each step. | ||
| 3. `nnx.scan` automatically propagates the state updates for the `BatchNorm` and | ||
| `Dropout` layers from within `forward` to the `model` reference outside. | ||
| 3. The `nnx.scan` transform consciously deviates from its JAX equivalent in order to mimick |
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Can we add links for the nnx.scan, nnx.vmap, jax.scan and jax.vmap API docs? Most people reading this will be new to JAX/Flax and don't know these subjects.
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Good idea. I will add add the reference on their first appearance above.
| def create_model(rngs: nnx.Rngs): | ||
| return MLP(10, 32, 10, rngs=rngs) | ||
| keys = jax.random.split(jax.random.key(0), 5) | ||
| model = create_model(keys) |
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Can we add a line that print out the shape of model's params? To show this additional axis.
| @@ -225,22 +225,24 @@ input (scan over layers). | |||
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I think we'd want to explain a bit about scan here. What about changing this line to:
Next lets take a look at a different example, which uses
nnx.vmapto create a stack of multipleMLPlayers andnnx.scanto iteratively apply each layer of the stack to the input.
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What does this PR do?
Updates
nnx_basicsto use the new JAX-like transforms syntax in the Transforms section. Also adds some additional notes aboutnnx.scan.