Pytorch-wrapper

Latest version: v1.1.0

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1.0.4

New Features:
- Support additive, multiplicative and dot attention types in MultiHeadAttention module.
- Support different time step sizes for query and key in case of multiplicative and additive attention type (MultiHeadAttention).

Refactoring:
- Change default initialisation of MLP layers to nn.Linear defaults.

1.0.3

Creates the following samplers:
* OrderedSequentialSampler
* SubsetOrderedSequentialSampler
* OrderedBatchWiseRandomSampler
* SubsetOrderedBatchWiseRandomSampler

1.0.2

1.0.1

1.0.0

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