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binsformer_swinl_22k_w7.txt
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2022-01-11 10:56:56,802 - depth - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 10.1, V10.1.243
GCC: gcc (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
PyTorch: 1.8.0
PyTorch compiling details: PyTorch built with:
- GCC 7.3
- C++ Version: 201402
- Intel(R) Math Kernel Library Version 2020.0.2 Product Build 20200624 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v1.7.0 (Git Hash 7aed236906b1f7a05c0917e5257a1af05e9ff683)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 11.1
- NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
- CuDNN 8.0.5
- Magma 2.5.2
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.8.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON,
TorchVision: 0.9.0
OpenCV: 4.5.5
MMCV: 1.3.13
MMCV Compiler: GCC 7.3
MMCV CUDA Compiler: 10.1
Depth: 0.0.0+0193246
------------------------------------------------------------
2022-01-11 10:56:56,802 - depth - INFO - Distributed training: True
2022-01-11 10:56:57,000 - depth - INFO - Config:
norm_cfg = dict(type='SyncBN', requires_grad=True)
backbone_norm_cfg = dict(type='LN', requires_grad=True)
model = dict(
type='DepthEncoderDecoder',
pretrained='./nfs/checkpoints/swin_large_patch4_window7_224_22k.pth',
backbone=dict(
type='SwinTransformer',
pretrain_img_size=224,
embed_dims=192,
patch_size=4,
window_size=7,
mlp_ratio=4,
depths=[2, 2, 18, 2],
num_heads=[6, 12, 24, 48],
strides=(4, 2, 2, 2),
out_indices=(0, 1, 2, 3),
qkv_bias=True,
qk_scale=None,
patch_norm=True,
drop_rate=0.0,
attn_drop_rate=0.0,
drop_path_rate=0.3,
use_abs_pos_embed=False,
act_cfg=dict(type='GELU'),
norm_cfg=dict(type='LN', requires_grad=True),
pretrain_style='official'),
decode_head=dict(
type='BinsFormerDecodeHead',
in_channels=[192, 384, 768, 1536],
up_sample_channels=[768, 384, 192, 96],
channels=96,
align_corners=True,
loss_decode=dict(type='SigLoss', valid_mask=True, loss_weight=10),
fpn=True,
uncertainty=False,
class_num=25,
conv_dim=512,
min_depth=0.001,
max_depth=10,
n_bins=64,
index=[0, 1, 2, 3],
trans_index=[1, 2, 3],
chamfer_loss=False,
loss_chamfer=dict(type='BinsChamferLoss', loss_weight=0.1),
classify=True,
loss_class=dict(type='CrossEntropyLoss', loss_weight=0.01),
norm_cfg=dict(type='BN', requires_grad=True),
transformer_encoder=dict(
type='PureMSDEnTransformer',
num_feature_levels=3,
encoder=dict(
type='DetrTransformerEncoder',
num_layers=6,
transformerlayers=dict(
type='BaseTransformerLayer',
attn_cfgs=dict(
type='MultiScaleDeformableAttention',
embed_dims=512,
num_levels=3,
num_points=8),
ffn_cfgs=dict(
embed_dims=512,
feedforward_channels=1024,
ffn_dropout=0.1),
operation_order=('self_attn', 'norm', 'ffn', 'norm')))),
positional_encoding=dict(
type='SinePositionalEncoding', num_feats=256, normalize=True),
transformer_decoder=dict(
type='PixelMSDeTransformer',
decoder=dict(
type='PixelTransformerDecoder',
return_intermediate=True,
num_layers=9,
num_feature_levels=3,
hidden_dim=512,
transformerlayers=dict(
type='PixelTransformerDecoderLayer',
attn_cfgs=dict(
type='MultiheadAttention',
embed_dims=512,
num_heads=8,
dropout=0.0),
ffn_cfgs=dict(
embed_dims=512,
feedforward_channels=2048,
ffn_drop=0.0),
operation_order=('cross_attn', 'norm', 'self_attn', 'norm',
'ffn', 'norm'))))),
train_cfg=dict(aux_loss=True, aux_index=[2, 5], aux_weight=[0.25, 0.5]),
test_cfg=dict(mode='whole'))
dataset_type = 'NYUBinFormerDataset'
data_root = 'data/nyu/'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
crop_size = (416, 544)
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='DepthLoadAnnotations'),
dict(type='NYUCrop', depth=True),
dict(type='RandomRotate', prob=0.5, degree=2.5),
dict(type='RandomFlip', prob=0.5),
dict(type='RandomCrop', crop_size=(416, 544)),
dict(
type='ColorAug',
prob=0.5,
gamma_range=[0.9, 1.1],
brightness_range=[0.75, 1.25],
color_range=[0.9, 1.1]),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='DefaultFormatBundle'),
dict(type='Collect', keys=['img', 'depth_gt', 'class_label'])
]
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='MultiScaleFlipAug',
img_scale=(480, 640),
flip=True,
flip_direction='horizontal',
transforms=[
dict(type='RandomFlip', direction='horizontal'),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img'])
])
]
data = dict(
samples_per_gpu=2,
workers_per_gpu=2,
train=dict(
type='NYUBinFormerDataset',
data_root='data/nyu/',
depth_scale=1000,
split='nyu_train.txt',
pipeline=[
dict(type='LoadImageFromFile'),
dict(type='DepthLoadAnnotations'),
dict(type='NYUCrop', depth=True),
dict(type='RandomRotate', prob=0.5, degree=2.5),
dict(type='RandomFlip', prob=0.5),
dict(type='RandomCrop', crop_size=(416, 544)),
dict(
type='ColorAug',
prob=0.5,
gamma_range=[0.9, 1.1],
brightness_range=[0.75, 1.25],
color_range=[0.9, 1.1]),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='DefaultFormatBundle'),
dict(type='Collect', keys=['img', 'depth_gt', 'class_label'])
],
garg_crop=False,
eigen_crop=True,
min_depth=0.001,
max_depth=10),
val=dict(
type='NYUBinFormerDataset',
data_root='data/nyu/',
depth_scale=1000,
split='nyu_test.txt',
pipeline=[
dict(type='LoadImageFromFile'),
dict(
type='MultiScaleFlipAug',
img_scale=(480, 640),
flip=True,
flip_direction='horizontal',
transforms=[
dict(type='RandomFlip', direction='horizontal'),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img'])
])
],
garg_crop=False,
eigen_crop=True,
min_depth=0.001,
max_depth=10),
test=dict(
type='NYUBinFormerDataset',
data_root='data/nyu/',
depth_scale=1000,
split='nyu_test.txt',
pipeline=[
dict(type='LoadImageFromFile'),
dict(
type='MultiScaleFlipAug',
img_scale=(480, 640),
flip=True,
flip_direction='horizontal',
transforms=[
dict(type='RandomFlip', direction='horizontal'),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img'])
])
],
garg_crop=False,
eigen_crop=True,
min_depth=0.001,
max_depth=10))
log_config = dict(
interval=100,
hooks=[
dict(type='TextLoggerHook', by_epoch=False),
dict(type='TensorboardLoggerHook')
])
dist_params = dict(backend='nccl')
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)]
cudnn_benchmark = True
optimizer = dict(
type='AdamW',
lr=0.0001,
betas=(0.9, 0.999),
weight_decay=0.01,
paramwise_cfg=dict(
custom_keys=dict(
absolute_pos_embed=dict(decay_mult=0.0),
relative_position_bias_table=dict(decay_mult=0.0),
norm=dict(decay_mult=0.0),
backbone=dict(decay_mult=0.1))))
lr_config = dict(
policy='OneCycle',
max_lr=0.0001,
warmup_iters=12800,
div_factor=25,
final_div_factor=100,
by_epoch=False)
optimizer_config = dict(grad_clip=dict(max_norm=0.01, norm_type=2))
runner = dict(type='IterBasedRunner', max_iters=38400)
checkpoint_config = dict(by_epoch=False, max_keep_ckpts=2, interval=1600)
evaluation = dict(
by_epoch=False,
start=0,
interval=800,
pre_eval=True,
rule='less',
save_best='abs_rel',
greater_keys=('a1', 'a2', 'a3'),
less_keys=('abs_rel', 'rmse'))
find_unused_parameters = True
work_dir = './nfs/binsformer/binsformer_full_fpn_wcls_swinl_22k_nyu'
gpu_ids = range(0, 1)
2022-01-11 10:56:58,784 - depth - INFO - Use load_from_local loader
Name of parameter - Initialization information
backbone.patch_embed.projection.weight - torch.Size([192, 3, 4, 4]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.patch_embed.projection.bias - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.patch_embed.norm.weight - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.patch_embed.norm.bias - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.norm1.weight - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.norm1.bias - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 6]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.attn.w_msa.qkv.weight - torch.Size([576, 192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.attn.w_msa.qkv.bias - torch.Size([576]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.attn.w_msa.proj.weight - torch.Size([192, 192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.attn.w_msa.proj.bias - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.norm2.weight - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.norm2.bias - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.ffn.layers.0.0.weight - torch.Size([768, 192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.ffn.layers.0.0.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.ffn.layers.1.weight - torch.Size([192, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.0.ffn.layers.1.bias - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.norm1.weight - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.norm1.bias - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 6]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.attn.w_msa.qkv.weight - torch.Size([576, 192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.attn.w_msa.qkv.bias - torch.Size([576]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.attn.w_msa.proj.weight - torch.Size([192, 192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.attn.w_msa.proj.bias - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.norm2.weight - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.norm2.bias - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.ffn.layers.0.0.weight - torch.Size([768, 192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.ffn.layers.0.0.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.ffn.layers.1.weight - torch.Size([192, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.blocks.1.ffn.layers.1.bias - torch.Size([192]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.downsample.norm.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.downsample.norm.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.0.downsample.reduction.weight - torch.Size([384, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.norm1.weight - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.norm1.bias - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.attn.w_msa.qkv.weight - torch.Size([1152, 384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.attn.w_msa.qkv.bias - torch.Size([1152]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.attn.w_msa.proj.weight - torch.Size([384, 384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.attn.w_msa.proj.bias - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.norm2.weight - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.norm2.bias - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.ffn.layers.0.0.weight - torch.Size([1536, 384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.ffn.layers.0.0.bias - torch.Size([1536]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.ffn.layers.1.weight - torch.Size([384, 1536]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.0.ffn.layers.1.bias - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.norm1.weight - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.norm1.bias - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.attn.w_msa.qkv.weight - torch.Size([1152, 384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.attn.w_msa.qkv.bias - torch.Size([1152]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.attn.w_msa.proj.weight - torch.Size([384, 384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.attn.w_msa.proj.bias - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.norm2.weight - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.norm2.bias - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.ffn.layers.0.0.weight - torch.Size([1536, 384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.ffn.layers.0.0.bias - torch.Size([1536]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.ffn.layers.1.weight - torch.Size([384, 1536]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.blocks.1.ffn.layers.1.bias - torch.Size([384]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.downsample.norm.weight - torch.Size([1536]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.downsample.norm.bias - torch.Size([1536]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.1.downsample.reduction.weight - torch.Size([768, 1536]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.0.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.1.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.2.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.3.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.4.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.5.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.6.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.7.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.8.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.9.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.10.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.11.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.norm1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.attn.w_msa.qkv.weight - torch.Size([2304, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.attn.w_msa.qkv.bias - torch.Size([2304]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.attn.w_msa.proj.weight - torch.Size([768, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.attn.w_msa.proj.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.norm2.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.norm2.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.ffn.layers.0.0.weight - torch.Size([3072, 768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.ffn.layers.0.0.bias - torch.Size([3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.ffn.layers.1.weight - torch.Size([768, 3072]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.12.ffn.layers.1.bias - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer
backbone.stages.2.blocks.13.norm1.weight - torch.Size([768]):
Initialized by user-defined `init_weights` in SwinTransformer