Multiverse for Deep Learning Developers without Pitfall
Project description
Multiverse for Deep Learning Developers without Pitfall
Release Note #. Support AMP (automatic mixed precision) with pytorch 1.6. #. attach lots of functions in ops on the tensor and use @numpy_compatible to share same syntax within numpy array or tensor. #. New attribute ‘sequence_rank’ comes to all conv_blocks familay, if sequence_rank=’cna’ means the order is ‘Convolution-Normalization-Activation’. #. Adding EvoNorm, SIREN ..
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tridentx-0.5.7.tar.gz
(367.7 kB
view hashes)
Built Distribution
tridentx-0.5.7-py3-none-any.whl
(449.3 kB
view hashes)