1.7.0

New features

• Sparse SciPy and ML tensors can now be wrapped like regular tensors.
• Shorthand shape & dual to add corresponding dual dims
• Added experimental compact sparse tensor
• Removing dims from a Shape can now be done using the - operator.
• Generic type conversion via Shape.as_type().

Improvements

• scatter() is now more flexible with treat_as_batch argument.
• Improvements to linear tracing. Improved rank deficiency detection. Linear solves will only use matrix_offset if confirmed by user.
• minimum and maximum can now be used with None values.
• Stacked trees may now include None values.
• reshaped_native() and reshaped_numpy() now support () / None for singleton dims