e3nn/e3nn: 2021-12-15

[0.4.4] - 2021-12-15 Fixed

• Remove CartesianTensor._rtp. Instead recompute the ReducedTensorProduct everytime. The user can save the ReducedTensorProduct to avoid creating it each time.
• *equivariance_error no longer keeps around unneeded autograd graphs
• CartesianTensor builds ReducedTensorProduct with correct device/dtype when called without one

• Created module for reflected imports allowing for nice syntax for creating irreps, e.g. from e3nn.o3.irreps import l3o # same as Irreps("o3")
• Add uvu<v mode for TensorProduct. Compute only the upper triangular part of the uv terms.
• (beta) TensorSquare. computes x \otimes x and decompose it.
• *equivariance_error now tell you which arguments had which error

• Give up the support of python 3.6, set python_requires='>=3.7' in setup
• Optimize a little bit ReducedTensorProduct: solve linear system only once per irrep instead of 2L+1 times.
• Do not scale line width by path_weight in TensorProduct.visualize
• *equivariance_error now transforms its inputs in float64 by default, regardless of the dtype used for the calculation itself