2.4.0

[holl-]

New features:

• Improved plots with additional recipes for bar charts and error bars.
• Improved learning curve visualization with vis.load_scalars()
• Decorator @math.broadcast to make functions compatible with Tensors.
• Preconditioned linear solves (experimental) with ilu and cluster preconditioners
• Improved support for sparse matrices
• Additional math functions, such as soft_plus, factorial, log_gamma, safe_div, primal, is_inf, is_nan
• Explicit device management with math.to_device()
• Tensor unstacking to dict using **tensor.dim
• Jit-compilable sparse neighbor search
• Improved support for Φ-trees, added math.slice().
• Broadcast string formatter using -f-f"..."

Breaking changes:

• math.pairwise_distances() now returns dual dimensions