Comments (4)
Thanks for reporting this! I've found the problem and will fix it soon.
from autobound.
This example now works, when using version 0.1.3 of the package.
from autobound.
Thank you for resolving the issue! I just have another inquiry. Am I restricted to utilizing only jax.nn.sigmoid, jax.nn.softplus, and jax.nn.swish as activation functions for the Multi-Layer Perceptron (MLP)? Are the Elu and sin activation functions not yet implemented?
from autobound.
Yes, only sigmoid, softplus and swish are implemented currently.
from autobound.
Related Issues (8)
- 'Quickstart' notebook outputs an error HOT 2
- Torch and TensorFlow support HOT 1
- Usage fails without explicitly installing typing_extensions HOT 2
- Implement trigonometric functions HOT 3
- Checklist for implementation of outstanding primitives. HOT 1
- Bug in Colab Notebook HOT 1
- Support all JAX primitives
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