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4d34581897
* [Feature]Segformer re-implementation * Using act_cfg and norm_cfg to control activation and normalization * Split this PR into several little PRs * Fix lint error * Remove SegFormerHead * parameters init refactor * 1. Refactor segformer backbone parameters init; 2. Remove rebundant functions and unit tests; * Remove rebundant codes * 1. Remove rebundant codes; 2. Modify module name; * Refactor the backbone of segformer using mmcv.cnn.bricks.transformer.py * Fix some code logic bugs. * Add mit_convert.py to match pretrain keys of segformer. * Resolve some comments. * 1. Add some assert to ensure right params; 2. Support flexible peconv position; * Add pe_index assert and fix unit test. * 1. Add doc string for MixVisionTransformer; 2. Add some unit tests for MixVisionTransformer; * Use hw_shape to pass shape of feature map. * 1. Fix doc string of MixVisionTransformer; 2. Simplify MixFFN; 3. Modify H, W to hw_shape; * Add more unit tests. * Add doc string for shape convertion functions. * Add some unit tests to improve code coverage. * Fix Segformer backbone pretrain weights match bug. * resolve the shape convertion functions doc string. * Add pad_to_patch_size arg. * Modify default value of pad_to_patch_size arg.
16 lines
648 B
Python
16 lines
648 B
Python
from .ckpt_convert import mit_convert, swin_convert, vit_convert
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from .embed import PatchEmbed
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from .inverted_residual import InvertedResidual, InvertedResidualV3
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from .make_divisible import make_divisible
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from .res_layer import ResLayer
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from .se_layer import SELayer
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from .self_attention_block import SelfAttentionBlock
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from .shape_convert import nchw_to_nlc, nlc_to_nchw
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from .up_conv_block import UpConvBlock
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__all__ = [
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'ResLayer', 'SelfAttentionBlock', 'make_divisible', 'InvertedResidual',
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'UpConvBlock', 'InvertedResidualV3', 'SELayer', 'vit_convert',
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'mit_convert', 'swin_convert', 'PatchEmbed', 'nchw_to_nlc', 'nlc_to_nchw'
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]
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