Comments (1)
hash based rngs fix this issue and a unit test was added in #77 that tests this particular edge case
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Related Issues (20)
- Feature request: Mixture of Experts example HOT 1
- Significant performance difference of NNX relative to equinox HOT 16
- typo in nnx_basics.md HOT 3
- Opaque XLA crash when initializing model HOT 1
- Is there anyway to analyze activations in flax? HOT 1
- Docs: please clarify how to vmap nnx.Module over batch dimension HOT 3
- Dropout seems not compatible with jax.jit HOT 1
- GroupNorm missing from NNX normalization layer HOT 2
- Large Difference in Loss between JAX and FLAX Two-Layer Linear Autoencoder HOT 1
- NNXWrapper HOT 2
- Truncated Normal initializer doesn't match PyTorch HOT 2
- lowering / cost analysis of @nnx.jit functions HOT 1
- Performance penalty of typecast in `nn.Embed.__call__`
- JAX-style NNX Transforms
- Edit parameters of flax module in another module HOT 2
- Flax.linen.conv unexpected behavior. HOT 1
- `DynamicScale` behaves unexpected when computing per-sample gradients with `vmap`.
- bias and kernel params are put on different gpu devices
- [nnx] How to access the nnx.Param which is inside of the Module HOT 2
- MNIST tutorial broken for Colab TPU
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