* refactor 'same' convolution and add helper to use MixedConv2d when needed * improve performance of 'same' padding for cases that can be handled statically * add support for extra exp, pw, and dw kernel specs with grouping support to decoder/string defs for MixNet * shuffle some args for a bit more consistency, a little less clutter overall in gen_efficientnet.py |
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.. | ||
__init__.py | ||
config.py | ||
constants.py | ||
dataset.py | ||
distributed_sampler.py | ||
loader.py | ||
mixup.py | ||
random_erasing.py | ||
tf_preprocessing.py | ||
transforms.py |