30 lines
1.5 KiB
Python
30 lines
1.5 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from .brick_wrappers import AdaptiveAvgPool2d, adaptive_avg_pool2d
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from .builder import build_linear_layer, build_transformer
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from .ckpt_convert import pvt_convert
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from .conv_upsample import ConvUpsample
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from .csp_layer import CSPLayer
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from .gaussian_target import gaussian_radius, gen_gaussian_target
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from .inverted_residual import InvertedResidual
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from .make_divisible import make_divisible
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from .misc import interpolate_as, sigmoid_geometric_mean
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from .normed_predictor import NormedConv2d, NormedLinear
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from .positional_encoding import (LearnedPositionalEncoding,
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SinePositionalEncoding)
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from .res_layer import ResLayer, SimplifiedBasicBlock
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from .se_layer import SELayer
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from .transformer import (DetrTransformerDecoder, DetrTransformerDecoderLayer,
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DynamicConv, PatchEmbed, Transformer, nchw_to_nlc,
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nlc_to_nchw)
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__all__ = [
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'ResLayer', 'gaussian_radius', 'gen_gaussian_target',
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'DetrTransformerDecoderLayer', 'DetrTransformerDecoder', 'Transformer',
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'build_transformer', 'build_linear_layer', 'SinePositionalEncoding',
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'LearnedPositionalEncoding', 'DynamicConv', 'SimplifiedBasicBlock',
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'NormedLinear', 'NormedConv2d', 'make_divisible', 'InvertedResidual',
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'SELayer', 'interpolate_as', 'ConvUpsample', 'CSPLayer',
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'adaptive_avg_pool2d', 'AdaptiveAvgPool2d', 'PatchEmbed', 'nchw_to_nlc',
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'nlc_to_nchw', 'pvt_convert', 'sigmoid_geometric_mean'
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]
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