Fixing issues #23 and #25 #26
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@snurkabill fixed #23 in #24. Can you rebase? |
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Done. I included the changes from #24 . |
CaitinZhao
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Nov 28, 2024
add model conversion to README_CN.md
sd2k
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Sep 10, 2025
* added mobilenetv2 model * fixup * bump burn to 0.13.0 * added docstring and removed unused member variables * change `inverted_residual_setting` type * simplify `make_divisble` * replace sequential impl * Add mobilenetv2 pre-trained weights - Remove configurable normalization (batchnorm was always used anyway) - Fix Conv2dNormActivation padding - Fix batchnorm rank - Fix classifier input and output ranks - Move utils to a simple closure for channel computation - Add PyTorchFileRecorder with remapping - Add structs documentation - Make residual settings constants - Remove dead comments * Add example and rename to mobilenetv2-burn - Add inference example with image sample - Add README - Add NOTICES - Rename to mobilenetv2 * Remove reference to IMAGENET1K_V1 weights * Fix resnet comment * fix README --------- Co-authored-by: Guillaume Lagrange <lagrange.guillaume.1@gmail.com>
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I solved the scaling issue for
VariationalAutoencoderRunner.py. Alsogaussian_sample_sizeis now a dynamic variable which adapts tobatch_size. Fixes #23 and fixes #25.