github dmlc/dgl 0.5.1
v0.5.1

latest releases: v2.2.1, v2.1.0, v2.0.0...
3 years ago

This is a patch release including the following bug fixes and minor features.

Documentation fixes

  • #2081 Reorganize user guide and split chapters into multiple pages
  • #2085 #2090 Fix links
  • #2091 #2114 User guide on distributed training
  • #2096 #2097 Other documentation fixes
  • #2086
  • #2123 Temporarily remove SSE MXNet tutorial

Bug fixes

  • #2100 add_edges() crashes if the input tensor is empty
  • #2084 Fix distributed GraphSage running with GPU
  • #2107 Building with HDFS previously fails
  • #2087 Cannot load the PTC dataset via dgl.data.GINDataset
  • #2076 Empty cuda graph raise error in create_formats_
  • #2121 Disable hypersparse memory optimization due to incomplete COO graph support on GPU
  • #2115 Fallback to CPU for graph traversal functions on GPU graphs
  • #2108 Force num_workers and num_samplers to be the same for distributed training
  • #2118 (#2127 )

Bug fixes in examples

  • #2119 Bug in using Layer Normalization in RGCN

New features

  • #2102 5 utility functions that handle raw data features
  • #1979 #2117 CUDA 11 support - We will not release binary builds of CUDA 11 for now

Release changes

  • Linux now requires GCC 5 to build DGL from source.
  • DGL now supports Mac 10.9+.

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