⚠️ INFO: This repository is deprecatedThe functionality of
ITensorsVisualizationhas been moved into the monorepo at ITensors.jl. For the latest ITensor visualization functionality, use particular backend packages such asITensorUnicodePlotsorITensorGLMakie.
This is a package for visualizing tensor networks. The main purpose is to use it with the ITensors.jl package to view and debug tensor network contractions, for example:
using ITensors
using ITensorsVisualization
i = Index(2, "index_i")
j = Index(10, "index_j")
k = Index(40, "index_k")
l = Index(40, "index_l")
m = Index(40, "index_m")
A = randomITensor(i, j, k)
B = randomITensor(i, j, l, m)
C = randomITensor(k, l)
# Contract the tensors over the common indices
# and visualize the results
ABC = @visualize A * B * CA window like the following should appear:
The visualization makes an initial guess for the locations of the tensors (using NetworkLayout.jl), and then allows users to interactively move the tensors to better locations. You can move the tensors and external indices (the square and circle nodes of the network) by left clicking on a node and dragging it to a new location. You can also right click and drag to translate the entire diagram, and scroll to zoom in and out.
In addition, you can pause the execution between contractions to analyze intermediate results:
julia> AB = @visualize A * B pause = true; ABC = @visualize AB * C;
Press C/c and then Enter to continue:
c
This will first visualize the contraction A * B, wait for the user to respond, and then perform the contraction and continue to visualize and perform contraction AB * C. This is helpful for viewing and debugging multistep contractions.
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