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)
- VAE example outdated HOT 3
- Make `self.make_rng()` callable by using a default RNG stream and have `.init()` and `.apply()` use the default RNG stream if no explicit RNG mapping is passed.
- DenseGeneral with more than 2 dimensions cannot be partitioned HOT 1
- asyncio error while loading weights HOT 4
- Add vanilla / Elman / simple RNN cell HOT 4
- NNX `_compute_stats` function missing `use_fast_variance` and `mask` argument HOT 1
- Memory issue when randomly initializing large parameters, sharding cannot help
- Deprecation Warnings with orbax 0.5.3 HOT 2
- Feature request: Add ConvGRUCell
- The Error in FLOP Computation of Model Tabulate Function HOT 1
- Make redundant `features` argument optional for recurrent cells HOT 2
- Add `reset_gate` flag to `MGUCell` HOT 4
- Unify behavior of strides arg of Conv and ConvTranspose HOT 1
- modifying params of flax.linen. Module model HOT 1
- Error when calling module tabulate involving WeightNorm HOT 5
- Compatibility with Torch LSTM HOT 2
- Wrong parameter names when nesting Modules within flax transformations HOT 3
- Neural Net Training is bottlenecked by maxed out CPU
- Error occurs in `nn.vmap` while `variable_axes` is a nested dict HOT 1
- flax.linen.module.init still fails under dynamic type checking for nested modules
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