v0.6.0

TensorInference v0.6.0

Diff since v0.5.0

Breaking changes

• Changed the mars keyword of TensorNetworkModel argument to unity_tensors_labels to be more accurate.
• Changed the vars field of TensorNetworkModel to nvars. It seems not nessesary to name the variables.
• Removed a lot of unused interfaces for TensorNetworkModel.
• Move the autodiff related feastures to OMEinsum.

The following APIs are added:

• BeliefPropgation: create a belief propagation model instance, which can be derived from the UAI model.
• belief_propagate: perform message passing until convergence, returns a BPState object and extra info.
• random_tensor_train_uai and random_matrix_product_uai: two UAI models for testing.

Merged pull requests:

• Implement Belief propagation as a new inference backend (#97) (@GiggleLiu)

Closed issues:

• Precompilation is commented out (#64)