Comments (1)
Resolved with #27
from axon.
Related Issues (20)
- Compiled model will always result in `%Axon.None{}`
- Block with multiple inputs fails to compile HOT 2
- mixed precision policies cause bumblebee models to fail HOT 2
- Cannot return map from Axon.nx
- batch_norm states "mean" and "var" never updated HOT 1
- Optimize frozen parameter memory usage HOT 1
- Allow overriding layer metadata such as `:op` and `:op_name` for built-ins HOT 1
- XLA Slow operation alarms: "The operation took ..." HOT 1
- a
- Loss increasing with binary_cross_entropy above version 0.4.1 HOT 6
- Compile Error due to a type mismatch HOT 2
- Req usage in OTP 26 HOT 6
- Most `Axon.ModelState` functions should be `defn` or `deftransform`
- Merge model state updates into a single `Axon.ModelState` call
- Optionally return gradients / gradient state in train step
- Crash with mixed precision with new Nx
- Remove namespaces
- Can't pass multiple inputs in custom trainer functions HOT 3
- Ambiguous inputs should raise
- Tagged versions missing in the repo compared to the ones in hexdocs.pm HOT 1
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