1.9.0

Highlights

• convolve now behaves like matrix multiplication, reducing dual dims of the kernel
• Tensor @ Tensor can now be used to reduce channel dims in the absence of dual dims
• Improved support for shape spec strings, concat now supports packing using the syntax t->name:t
• Multi-dimensional cumulative_sum
• Improved support for non-uniform and sparse tensors
• New functions d2s, contains, count_occurrences, Tensor.map(), ravel_index and aliases rotate, cross
• Shape concatenation via Shape + Shape