- new operation:
repeat (includes repeat/tiling logic, copying along a new dimension)
- anonymous axes (specified by their length not name) are allowed:
grayscale = reduce(image, 'h w 3 -> h w', 'mean')
image_with_identical_channels = repeat(grayscale, 'h w -> h w 3')
- 1 can be used to refer to all dimensions of length 1
- reduced restrictions on axes names: almost any python identified can be an axis name now
- reduction can be provided with callable not string
- tutorials were slightly updated to include these changes
- code in kernel undergone refactoring, and now more documented
- support:
keras layers are deprecated in favor of tf.keras layers
- experimental layer introduced: WeightedEinsum (RFC: #71 )
