1.5.0
The Φ-ML paper has been published! DOI
This version updates the value/variable attribute system and is compatible with TensorFlow 2.16 and the latest JAX versions.
Highlights
- Value attributes are now used in optimization and gradient computation.
- tensorflow_probability is no longer required for median() and quantile()
- Added
find_differences
to compare trees - Added
sort
grid_sample
andclosest_grid_values
now support specifying grid dims via coordinates
Notable fixes
- PyTorch's long-standing JIT adjoint linear solve problem has been resolved
- Tracing JIT functions within a gradient function no longer stores the gradients (caused JAX escaped tracers)
pip install phiml==1.5.0