[Code Coverage] transforms/gcn_norm.py

[venomouscyanide]

No description provided.

[codecov]

Codecov Report

Merging #6673 (2890e20) into master (2a80dae) will increase coverage by 0.04%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master    #6673      +/-   ##
==========================================
+ Coverage   88.59%   88.63%   +0.04%     
==========================================
  Files         423      423              
  Lines       23114    23113       -1     
==========================================
+ Hits        20477    20486       +9     
+ Misses       2637     2627      -10     

Impacted Files	Coverage Δ
torch_geometric/transforms/gcn_norm.py	100.00% <100.00%> (+55.55%)	⬆️

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[venomouscyanide]

Currently missing coverage for adj_t flow. I am getting an error when trying our this testing snippet

edge_index = torch.tensor([[0, 1, 1, 2], [1, 0, 2, 1]])
adj_t = SparseTensor.from_edge_index(edge_index, sparse_sizes=(3, 3))
data = Data(adj_t=adj_t)
data = GCNNorm(add_self_loops=False)(data)