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Release 1.5.2 #164
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Release 1.5.2 #164
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Use MultiHeadSelfAttention and MultiHeadGatedSelfAttention if want to return the attention weights
This commit adds new message-passing graph layers (MPN) and graph convolutional layers to dt, including vanilla MPN, GRUMPN, Masked-attention FGNN, and GraphTransformer.
Jp/rev magik
Fix indexing problems related to tf.gather
Allow multi-inputs in ContinuousGenerator
Fix phase correction at focus and offset calculation
Add new graph datasets
Fix bug in the GRU gnn layer
Change loss input order of CGAN and PCGAN
Create detection_linking_hela dataset for GNN based models
CuPy fix for coherence length
Added a new method for testing MieSphere when coherence length parameter is provided.
Create node regression datasets for training GNN models
CuPy fix for MieScatterers with coherence length
Create virtual staining datasets and tools
removed pydeepimagej from deps
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