hmmm it seems like the backbone has somewhat different names for modules.
is it possible that the path isn’t right?
I have tried relative path, absolute path and the following.
pretrained_backbone_path: resnet50_peoplenet_transformer.tlt
INFO: Loading faiss with AVX2 support.
INFO: Could not load library with AVX2 support due to:
ModuleNotFoundError(“No module named ‘faiss.swigfaiss_avx2’”)
INFO: Loading faiss.
INFO: Successfully loaded faiss.
NOTE! Installing ujson may make loading annotations faster.
NOTE! Installing ujson may make loading annotations faster.
ANTLR runtime and generated code versions disagree: 4.8!=4.9.3
ANTLR runtime and generated code versions disagree: 4.8!=4.9.3
[NeMo W 2023-07-06 05:11:16 nemo_logging:349] :97: UserWarning:
‘spec_file.yaml’ is validated against ConfigStore schema with the same name.
This behavior is deprecated in Hydra 1.1 and will be removed in Hydra 1.2.
See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/automatic_schema_matching for migration instructions.
[NeMo W 2023-07-06 05:11:16 nemo_logging:349] /opt/conda/lib/python3.8/site-packages/pytorch_lightning/core/datamodule.py:60: LightningDeprecationWarning: DataModule property train_transforms was deprecated in v1.5 and will be removed in v1.7.
rank_zero_deprecation(
Created a temporary directory at /tmp/tmpwsx5omt9
Writing /tmp/tmpwsx5omt9/_remote_module_non_scriptable.py
loading trained weights from resnet50_peoplenet_transformer.tlt
Error executing job with overrides: [‘output_dir=./results’, ‘num_gpus=1’, ‘num_nodes=1’, ‘encryption_key=nvidia_tao’]
An error occurred during Hydra’s exception formatting:
AssertionError()
Traceback (most recent call last):
File “/opt/conda/lib/python3.8/site-packages/hydra/_internal/utils.py”, line 252, in run_and_report
assert mdl is not None
AssertionError
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File “</opt/conda/lib/python3.8/site-packages/nvidia_tao_pytorch/cv/deformable_detr/scripts/train.py>”, line 3, in
File “”, line 97, in
File “”, line 99, in wrapper
File “/opt/conda/lib/python3.8/site-packages/hydra/_internal/utils.py”, line 377, in _run_hydra
run_and_report(
File “/opt/conda/lib/python3.8/site-packages/hydra/_internal/utils.py”, line 294, in run_and_report
raise ex
File “/opt/conda/lib/python3.8/site-packages/hydra/_internal/utils.py”, line 211, in run_and_report
return func()
File “/opt/conda/lib/python3.8/site-packages/hydra/_internal/utils.py”, line 378, in
lambda: hydra.run(
File “/opt/conda/lib/python3.8/site-packages/hydra/_internal/hydra.py”, line 111, in run
_ = ret.return_value
File “/opt/conda/lib/python3.8/site-packages/hydra/core/utils.py”, line 233, in return_value
raise self._return_value
File “/opt/conda/lib/python3.8/site-packages/hydra/core/utils.py”, line 160, in run_job
ret.return_value = task_function(task_cfg)
File “”, line 91, in main
File “”, line 40, in run_experiment
File “”, line 38, in init
File “”, line 42, in _build_model
File “”, line 130, in build_model
File “”, line 60, in init
File “”, line 151, in init
File “”, line 235, in resnet50
File “/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py”, line 1660, in load_state_dict
raise RuntimeError(‘Error(s) in loading state_dict for {}:\n\t{}’.format(
RuntimeError: Error(s) in loading state_dict for ResNet:
Missing key(s) in state_dict: “conv1.weight”, “bn1.weight”, “bn1.bias”, “bn1.running_mean”, “bn1.running_var”, “layer1.0.conv1.weight”, “layer1.0.bn1.weight”, “layer1.0.bn1.bias”, “layer1.0.bn1.running_mean”, “layer1.0.bn1.running_var”, “layer1.0.conv2.weight”, “layer1.0.bn2.weight”, “layer1.0.bn2.bias”, “layer1.0.bn2.running_mean”, “layer1.0.bn2.running_var”, “layer1.0.conv3.weight”, “layer1.0.bn3.weight”, “layer1.0.bn3.bias”, “layer1.0.bn3.running_mean”, “layer1.0.bn3.running_var”, “layer1.0.downsample.0.weight”, “layer1.0.downsample.1.weight”, “layer1.0.downsample.1.bias”, “layer1.0.downsample.1.running_mean”, “layer1.0.downsample.1.running_var”, “layer1.1.conv1.weight”, “layer1.1.bn1.weight”, “layer1.1.bn1.bias”, “layer1.1.bn1.running_mean”, “layer1.1.bn1.running_var”, “layer1.1.conv2.weight”, “layer1.1.bn2.weight”, “layer1.1.bn2.bias”, “layer1.1.bn2.running_mean”, “layer1.1.bn2.running_var”, “layer1.1.conv3.weight”, “layer1.1.bn3.weight”, “layer1.1.bn3.bias”, “layer1.1.bn3.running_mean”, “layer1.1.bn3.running_var”, “layer1.2.conv1.weight”, “layer1.2.bn1.weight”, “layer1.2.bn1.bias”, “layer1.2.bn1.running_mean”, “layer1.2.bn1.running_var”, “layer1.2.conv2.weight”, “layer1.2.bn2.weight”, “layer1.2.bn2.bias”, “layer1.2.bn2.running_mean”, “layer1.2.bn2.running_var”, “layer1.2.conv3.weight”, “layer1.2.bn3.weight”, “layer1.2.bn3.bias”, “layer1.2.bn3.running_mean”, “layer1.2.bn3.running_var”, “layer2.0.conv1.weight”, “layer2.0.bn1.weight”, “layer2.0.bn1.bias”, “layer2.0.bn1.running_mean”, “layer2.0.bn1.running_var”, “layer2.0.conv2.weight”, “layer2.0.bn2.weight”, “layer2.0.bn2.bias”, “layer2.0.bn2.running_mean”, “layer2.0.bn2.running_var”, “layer2.0.conv3.weight”, “layer2.0.bn3.weight”, “layer2.0.bn3.bias”, “layer2.0.bn3.running_mean”, “layer2.0.bn3.running_var”, “layer2.0.downsample.0.weight”, “layer2.0.downsample.1.weight”, “layer2.0.downsample.1.bias”, “layer2.0.downsample.1.running_mean”, “layer2.0.downsample.1.running_var”, “layer2.1.conv1.weight”, “layer2.1.bn1.weight”, “layer2.1.bn1.bias”, “layer2.1.bn1.running_mean”, “layer2.1.bn1.running_var”, “layer2.1.conv2.weight”, “layer2.1.bn2.weight”, “layer2.1.bn2.bias”, “layer2.1.bn2.running_mean”, “layer2.1.bn2.running_var”, “layer2.1.conv3.weight”, “layer2.1.bn3.weight”, “layer2.1.bn3.bias”, “layer2.1.bn3.running_mean”, “layer2.1.bn3.running_var”, “layer2.2.conv1.weight”, “layer2.2.bn1.weight”, “layer2.2.bn1.bias”, “layer2.2.bn1.running_mean”, “layer2.2.bn1.running_var”, “layer2.2.conv2.weight”, “layer2.2.bn2.weight”, “layer2.2.bn2.bias”, “layer2.2.bn2.running_mean”, “layer2.2.bn2.running_var”, “layer2.2.conv3.weight”, “layer2.2.bn3.weight”, “layer2.2.bn3.bias”, “layer2.2.bn3.running_mean”, “layer2.2.bn3.running_var”, “layer2.3.conv1.weight”, “layer2.3.bn1.weight”, “layer2.3.bn1.bias”, “layer2.3.bn1.running_mean”, “layer2.3.bn1.running_var”, “layer2.3.conv2.weight”, “layer2.3.bn2.weight”, “layer2.3.bn2.bias”, “layer2.3.bn2.running_mean”, “layer2.3.bn2.running_var”, “layer2.3.conv3.weight”, “layer2.3.bn3.weight”, “layer2.3.bn3.bias”, “layer2.3.bn3.running_mean”, “layer2.3.bn3.running_var”, “layer3.0.conv1.weight”, “layer3.0.bn1.weight”, “layer3.0.bn1.bias”, “layer3.0.bn1.running_mean”, “layer3.0.bn1.running_var”, “layer3.0.conv2.weight”, “layer3.0.bn2.weight”, “layer3.0.bn2.bias”, “layer3.0.bn2.running_mean”, “layer3.0.bn2.running_var”, “layer3.0.conv3.weight”, “layer3.0.bn3.weight”, “layer3.0.bn3.bias”, “layer3.0.bn3.running_mean”, “layer3.0.bn3.running_var”, “layer3.0.downsample.0.weight”, “layer3.0.downsample.1.weight”, “layer3.0.downsample.1.bias”, “layer3.0.downsample.1.running_mean”, “layer3.0.downsample.1.running_var”, “layer3.1.conv1.weight”, “layer3.1.bn1.weight”, “layer3.1.bn1.bias”, “layer3.1.bn1.running_mean”, “layer3.1.bn1.running_var”, “layer3.1.conv2.weight”, “layer3.1.bn2.weight”, “layer3.1.bn2.bias”, “layer3.1.bn2.running_mean”, “layer3.1.bn2.running_var”, “layer3.1.conv3.weight”, “layer3.1.bn3.weight”, “layer3.1.bn3.bias”, “layer3.1.bn3.running_mean”, “layer3.1.bn3.running_var”, “layer3.2.conv1.weight”, “layer3.2.bn1.weight”, “layer3.2.bn1.bias”, “layer3.2.bn1.running_mean”, “layer3.2.bn1.running_var”, “layer3.2.conv2.weight”, “layer3.2.bn2.weight”, “layer3.2.bn2.bias”, “layer3.2.bn2.running_mean”, “layer3.2.bn2.running_var”, “layer3.2.conv3.weight”, “layer3.2.bn3.weight”, “layer3.2.bn3.bias”, “layer3.2.bn3.running_mean”, “layer3.2.bn3.running_var”, “layer3.3.conv1.weight”, “layer3.3.bn1.weight”, “layer3.3.bn1.bias”, “layer3.3.bn1.running_mean”, “layer3.3.bn1.running_var”, “layer3.3.conv2.weight”, “layer3.3.bn2.weight”, “layer3.3.bn2.bias”, “layer3.3.bn2.running_mean”, “layer3.3.bn2.running_var”, “layer3.3.conv3.weight”, “layer3.3.bn3.weight”, “layer3.3.bn3.bias”, “layer3.3.bn3.running_mean”, “layer3.3.bn3.running_var”, “layer3.4.conv1.weight”, “layer3.4.bn1.weight”, “layer3.4.bn1.bias”, “layer3.4.bn1.running_mean”, “layer3.4.bn1.running_var”, “layer3.4.conv2.weight”, “layer3.4.bn2.weight”, “layer3.4.bn2.bias”, “layer3.4.bn2.running_mean”, “layer3.4.bn2.running_var”, “layer3.4.conv3.weight”, “layer3.4.bn3.weight”, “layer3.4.bn3.bias”, “layer3.4.bn3.running_mean”, “layer3.4.bn3.running_var”, “layer3.5.conv1.weight”, “layer3.5.bn1.weight”, “layer3.5.bn1.bias”, “layer3.5.bn1.running_mean”, “layer3.5.bn1.running_var”, “layer3.5.conv2.weight”, “layer3.5.bn2.weight”, “layer3.5.bn2.bias”, “layer3.5.bn2.running_mean”, “layer3.5.bn2.running_var”, “layer3.5.conv3.weight”, “layer3.5.bn3.weight”, “layer3.5.bn3.bias”, “layer3.5.bn3.running_mean”, “layer3.5.bn3.running_var”, “layer4.0.conv1.weight”, “layer4.0.bn1.weight”, “layer4.0.bn1.bias”, “layer4.0.bn1.running_mean”, “layer4.0.bn1.running_var”, “layer4.0.conv2.weight”, “layer4.0.bn2.weight”, “layer4.0.bn2.bias”, “layer4.0.bn2.running_mean”, “layer4.0.bn2.running_var”, “layer4.0.conv3.weight”, “layer4.0.bn3.weight”, “layer4.0.bn3.bias”, “layer4.0.bn3.running_mean”, “layer4.0.bn3.running_var”, “layer4.0.downsample.0.weight”, “layer4.0.downsample.1.weight”, “layer4.0.downsample.1.bias”, “layer4.0.downsample.1.running_mean”, “layer4.0.downsample.1.running_var”, “layer4.1.conv1.weight”, “layer4.1.bn1.weight”, “layer4.1.bn1.bias”, “layer4.1.bn1.running_mean”, “layer4.1.bn1.running_var”, “layer4.1.conv2.weight”, “layer4.1.bn2.weight”, “layer4.1.bn2.bias”, “layer4.1.bn2.running_mean”, “layer4.1.bn2.running_var”, “layer4.1.conv3.weight”, “layer4.1.bn3.weight”, “layer4.1.bn3.bias”, “layer4.1.bn3.running_mean”, “layer4.1.bn3.running_var”, “layer4.2.conv1.weight”, “layer4.2.bn1.weight”, “layer4.2.bn1.bias”, “layer4.2.bn1.running_mean”, “layer4.2.bn1.running_var”, “layer4.2.conv2.weight”, “layer4.2.bn2.weight”, “layer4.2.bn2.bias”, “layer4.2.bn2.running_mean”, “layer4.2.bn2.running_var”, “layer4.2.conv3.weight”, “layer4.2.bn3.weight”, “layer4.2.bn3.bias”, “layer4.2.bn3.running_mean”, “layer4.2.bn3.running_var”, “fc.weight”, “fc.bias”.
Unexpected key(s) in state_dict: “model.model.transformer.level_embed”, “model.model.transformer.encoder.layers.0.self_attn.sampling_offsets.weight”, “model.model.transformer.encoder.layers.0.self_attn.sampling_offsets.bias”, “model.model.transformer.encoder.layers.0.self_attn.attention_weights.weight”, “model.model.transformer.encoder.layers.0.self_attn.attention_weights.bias”, “model.model.transformer.encoder.layers.0.self_attn.value_proj.weight”, “model.model.transformer.encoder.layers.0.self_attn.value_proj.bias”, “model.model.transformer.encoder.layers.0.self_attn.output_proj.weight”, “model.model.transformer.encoder.layers.0.self_attn.output_proj.bias”, “model.model.transformer.encoder.layers.0.norm1.weight”, “model.model.transformer.encoder.layers.0.norm1.bias”, “model.model.transformer.encoder.layers.0.linear1.weight”, “model.model.transformer.encoder.layers.0.linear1.bias”, “model.model.transformer.encoder.layers.0.linear2.weight”, “model.model.transformer.encoder.layers.0.linear2.bias”, “model.model.transformer.encoder.layers.0.norm2.weight”, “model.model.transformer.encoder.layers.0.norm2.bias”, “model.model.transformer.encoder.layers.1.self_attn.sampling_offsets.weight”, “model.model.transformer.encoder.layers.1.self_attn.sampling_offsets.bias”, “model.model.transformer.encoder.layers.1.self_attn.attention_weights.weight”, “model.model.transformer.encoder.layers.1.self_attn.attention_weights.bias”, “model.model.transformer.encoder.layers.1.self_attn.value_proj.weight”, “model.model.transformer.encoder.layers.1.self_attn.value_proj.bias”, “model.model.transformer.encoder.layers.1.self_attn.output_proj.weight”, “model.model.transformer.encoder.layers.1.self_attn.output_proj.bias”, “model.model.transformer.encoder.layers.1.norm1.weight”, “model.model.transformer.encoder.layers.1.norm1.bias”, “model.model.transformer.encoder.layers.1.linear1.weight”, “model.model.transformer.encoder.layers.1.linear1.bias”, “model.model.transformer.encoder.layers.1.linear2.weight”, “model.model.transformer.encoder.layers.1.linear2.bias”, “model.model.transformer.encoder.layers.1.norm2.weight”, “model.model.transformer.encoder.layers.1.norm2.bias”, “model.model.transformer.encoder.layers.2.self_attn.sampling_offsets.weight”, “model.model.transformer.encoder.layers.2.self_attn.sampling_offsets.bias”, “model.model.transformer.encoder.layers.2.self_attn.attention_weights.weight”, “model.model.transformer.encoder.layers.2.self_attn.attention_weights.bias”, “model.model.transformer.encoder.layers.2.self_attn.value_proj.weight”, “model.model.transformer.encoder.layers.2.self_attn.value_proj.bias”, “model.model.transformer.encoder.layers.2.self_attn.output_proj.weight”, “model.model.transformer.encoder.layers.2.self_attn.output_proj.bias”, “model.model.transformer.encoder.layers.2.norm1.weight”, “model.model.transformer.encoder.layers.2.norm1.bias”, “model.model.transformer.encoder.layers.2.linear1.weight”, “model.model.transformer.encoder.layers.2.linear1.bias”, “model.model.transformer.encoder.layers.2.linear2.weight”, “model.model.transformer.encoder.layers.2.linear2.bias”, “model.model.transformer.encoder.layers.2.norm2.weight”, “model.model.transformer.encoder.layers.2.norm2.bias”, “model.model.transformer.encoder.layers.3.self_attn.sampling_offsets.weight”, “model.model.transformer.encoder.layers.3.self_attn.sampling_offsets.bias”, “model.model.transformer.encoder.layers.3.self_attn.attention_weights.weight”, “model.model.transformer.encoder.layers.3.self_attn.attention_weights.bias”, “model.model.transformer.encoder.layers.3.self_attn.value_proj.weight”, “model.model.transformer.encoder.layers.3.self_attn.value_proj.bias”, “model.model.transformer.encoder.layers.3.self_attn.output_proj.weight”, “model.model.transformer.encoder.layers.3.self_attn.output_proj.bias”, “model.model.transformer.encoder.layers.3.norm1.weight”, “model.model.transformer.encoder.layers.3.norm1.bias”, “model.model.transformer.encoder.layers.3.linear1.weight”, “model.model.transformer.encoder.layers.3.linear1.bias”, “model.model.transformer.encoder.layers.3.linear2.weight”, “model.model.transformer.encoder.layers.3.linear2.bias”, “model.model.transformer.encoder.layers.3.norm2.weight”, “model.model.transformer.encoder.layers.3.norm2.bias”, “model.model.transformer.encoder.layers.4.self_attn.sampling_offsets.weight”, “model.model.transformer.encoder.layers.4.self_attn.sampling_offsets.bias”, “model.model.transformer.encoder.layers.4.self_attn.attention_weights.weight”, “model.model.transformer.encoder.layers.4.self_attn.attention_weights.bias”, “model.model.transformer.encoder.layers.4.self_attn.value_proj.weight”, “model.model.transformer.encoder.layers.4.self_attn.value_proj.bias”, “model.model.transformer.encoder.layers.4.self_attn.output_proj.weight”, “model.model.transformer.encoder.layers.4.self_attn.output_proj.bias”, “model.model.transformer.encoder.layers.4.norm1.weight”, “model.model.transformer.encoder.layers.4.norm1.bias”, “model.model.transformer.encoder.layers.4.linear1.weight”, “model.model.transformer.encoder.layers.4.linear1.bias”, “model.model.transformer.encoder.layers.4.linear2.weight”, “model.model.transformer.encoder.layers.4.linear2.bias”, “model.model.transformer.encoder.layers.4.norm2.weight”, “model.model.transformer.encoder.layers.4.norm2.bias”, “model.model.transformer.encoder.layers.5.self_attn.sampling_offsets.weight”, “model.model.transformer.encoder.layers.5.self_attn.sampling_offsets.bias”, “model.model.transformer.encoder.layers.5.self_attn.attention_weights.weight”, “model.model.transformer.encoder.layers.5.self_attn.attention_weights.bias”, “model.model.transformer.encoder.layers.5.self_attn.value_proj.weight”, “model.model.transformer.encoder.layers.5.self_attn.value_proj.bias”, “model.model.transformer.encoder.layers.5.self_attn.output_proj.weight”, “model.model.transformer.encoder.layers.5.self_attn.output_proj.bias”, “model.model.transformer.encoder.layers.5.norm1.weight”, “model.model.transformer.encoder.layers.5.norm1.bias”, “model.model.transformer.encoder.layers.5.linear1.weight”, “model.model.transformer.encoder.layers.5.linear1.bias”, “model.model.transformer.encoder.layers.5.linear2.weight”, “model.model.transformer.encoder.layers.5.linear2.bias”, “model.model.transformer.encoder.layers.5.norm2.weight”, “model.model.transformer.encoder.layers.5.norm2.bias”, “model.model.transformer.decoder.layers.0.cross_attn.sampling_offsets.weight”, “model.model.transformer.decoder.layers.0.cross_attn.sampling_offsets.bias”, “model.model.transformer.decoder.layers.0.cross_attn.attention_weights.weight”, “model.model.transformer.decoder.layers.0.cross_attn.attention_weights.bias”, “model.model.transformer.decoder.layers.0.cross_attn.value_proj.weight”, “model.model.transformer.decoder.layers.0.cross_attn.value_proj.bias”, “model.model.transformer.decoder.layers.0.cross_attn.output_proj.weight”, “model.model.transformer.decoder.layers.0.cross_attn.output_proj.bias”, “model.model.transformer.decoder.layers.0.norm1.weight”, “model.model.transformer.decoder.layers.0.norm1.bias”, “model.model.transformer.decoder.layers.0.self_attn.in_proj_weight”, “model.model.transformer.decoder.layers.0.self_attn.in_proj_bias”, “model.model.transformer.decoder.layers.0.self_attn.out_proj.weight”, “model.model.transformer.decoder.layers.0.self_attn.out_proj.bias”, “model.model.transformer.decoder.layers.0.norm2.weight”, “model.model.transformer.decoder.layers.0.norm2.bias”, “model.model.transformer.decoder.layers.0.linear1.weight”, “model.model.transformer.decoder.layers.0.linear1.bias”, “model.model.transformer.decoder.layers.0.linear2.weight”, “model.model.transformer.decoder.layers.0.linear2.bias”, “model.model.transformer.decoder.layers.0.norm3.weight”, “model.model.transformer.decoder.layers.0.norm3.bias”, “model.model.transformer.decoder.layers.1.cross_attn.sampling_offsets.weight”, “model.model.transformer.decoder.layers.1.cross_attn.sampling_offsets.bias”, “model.model.transformer.decoder.layers.1.cross_attn.attention_weights.weight”, “model.model.transformer.decoder.layers.1.cross_attn.attention_weights.bias”, “model.model.transformer.decoder.layers.1.cross_attn.value_proj.weight”, “model.model.transformer.decoder.layers.1.cross_attn.value_proj.bias”, “model.model.transformer.decoder.layers.1.cross_attn.output_proj.weight”, “model.model.transformer.decoder.layers.1.cross_attn.output_proj.bias”, “model.model.transformer.decoder.layers.1.norm1.weight”, “model.model.transformer.decoder.layers.1.norm1.bias”, “model.model.transformer.decoder.layers.1.self_attn.in_proj_weight”, “model.model.transformer.decoder.layers.1.self_attn.in_proj_bias”, “model.model.transformer.decoder.layers.1.self_attn.out_proj.weight”, “model.model.transformer.decoder.layers.1.self_attn.out_proj.bias”, “model.model.transformer.decoder.layers.1.norm2.weight”, “model.model.transformer.decoder.layers.1.norm2.bias”, “model.model.transformer.decoder.layers.1.linear1.weight”, “model.model.transformer.decoder.layers.1.linear1.bias”, “model.model.transformer.decoder.layers.1.linear2.weight”, “model.model.transformer.decoder.layers.1.linear2.bias”, “model.model.transformer.decoder.layers.1.norm3.weight”, “model.model.transformer.decoder.layers.1.norm3.bias”, “model.model.transformer.decoder.layers.2.cross_attn.sampling_offsets.weight”, “model.model.transformer.decoder.layers.2.cross_attn.sampling_offsets.bias”, “model.model.transformer.decoder.layers.2.cross_attn.attention_weights.weight”, “model.model.transformer.decoder.layers.2.cross_attn.attention_weights.bias”, “model.model.transformer.decoder.layers.2.cross_attn.value_proj.weight”, “model.model.transformer.decoder.layers.2.cross_attn.value_proj.bias”, “model.model.transformer.decoder.layers.2.cross_attn.output_proj.weight”, “model.model.transformer.decoder.layers.2.cross_attn.output_proj.bias”, “model.model.transformer.decoder.layers.2.norm1.weight”, “model.model.transformer.decoder.layers.2.norm1.bias”, “model.model.transformer.decoder.layers.2.self_attn.in_proj_weight”, “model.model.transformer.decoder.layers.2.self_attn.in_proj_bias”, “model.model.transformer.decoder.layers.2.self_attn.out_proj.weight”, “model.model.transformer.decoder.layers.2.self_attn.out_proj.bias”, “model.model.transformer.decoder.layers.2.norm2.weight”, “model.model.transformer.decoder.layers.2.norm2.bias”, “model.model.transformer.decoder.layers.2.linear1.weight”, “model.model.transformer.decoder.layers.2.linear1.bias”, “model.model.transformer.decoder.layers.2.linear2.weight”, “model.model.transformer.decoder.layers.2.linear2.bias”, “model.model.transformer.decoder.layers.2.norm3.weight”, “model.model.transformer.decoder.layers.2.norm3.bias”, “model.model.transformer.decoder.layers.3.cross_attn.sampling_offsets.weight”, “model.model.transformer.decoder.layers.3.cross_attn.sampling_offsets.bias”, “model.model.transformer.decoder.layers.3.cross_attn.attention_weights.weight”, “model.model.transformer.decoder.layers.3.cross_attn.attention_weights.bias”, “model.model.transformer.decoder.layers.3.cross_attn.value_proj.weight”, “model.model.transformer.decoder.layers.3.cross_attn.value_proj.bias”, “model.model.transformer.decoder.layers.3.cross_attn.output_proj.weight”, “model.model.transformer.decoder.layers.3.cross_attn.output_proj.bias”, “model.model.transformer.decoder.layers.3.norm1.weight”, “model.model.transformer.decoder.layers.3.norm1.bias”, “model.model.transformer.decoder.layers.3.self_attn.in_proj_weight”, “model.model.transformer.decoder.layers.3.self_attn.in_proj_bias”, “model.model.transformer.decoder.layers.3.self_attn.out_proj.weight”, “model.model.transformer.decoder.layers.3.self_attn.out_proj.bias”, “model.model.transformer.decoder.layers.3.norm2.weight”, “model.model.transformer.decoder.layers.3.norm2.bias”, “model.model.transformer.decoder.layers.3.linear1.weight”, “model.model.transformer.decoder.layers.3.linear1.bias”, “model.model.transformer.decoder.layers.3.linear2.weight”, “model.model.transformer.decoder.layers.3.linear2.bias”, “model.model.transformer.decoder.layers.3.norm3.weight”, “model.model.transformer.decoder.layers.3.norm3.bias”, “model.model.transformer.decoder.layers.4.cross_attn.sampling_offsets.weight”, “model.model.transformer.decoder.layers.4.cross_attn.sampling_offsets.bias”, “model.model.transformer.decoder.layers.4.cross_attn.attention_weights.weight”, “model.model.transformer.decoder.layers.4.cross_attn.attention_weights.bias”, “model.model.transformer.decoder.layers.4.cross_attn.value_proj.weight”, “model.model.transformer.decoder.layers.4.cross_attn.value_proj.bias”, “model.model.transformer.decoder.layers.4.cross_attn.output_proj.weight”, “model.model.transformer.decoder.layers.4.cross_attn.output_proj.bias”, “model.model.transformer.decoder.layers.4.norm1.weight”, “model.model.transformer.decoder.layers.4.norm1.bias”, “model.model.transformer.decoder.layers.4.self_attn.in_proj_weight”, “model.model.transformer.decoder.layers.4.self_attn.in_proj_bias”, “model.model.transformer.decoder.layers.4.self_attn.out_proj.weight”, “model.model.transformer.decoder.layers.4.self_attn.out_proj.bias”, “model.model.transformer.decoder.layers.4.norm2.weight”, “model.model.transformer.decoder.layers.4.norm2.bias”, “model.model.transformer.decoder.layers.4.linear1.weight”, “model.model.transformer.decoder.layers.4.linear1.bias”, “model.model.transformer.decoder.layers.4.linear2.weight”, “model.model.transformer.decoder.layers.4.linear2.bias”, “model.model.transformer.decoder.layers.4.norm3.weight”, “model.model.transformer.decoder.layers.4.norm3.bias”, “model.model.transformer.decoder.layers.5.cross_attn.sampling_offsets.weight”, “model.model.transformer.decoder.layers.5.cross_attn.sampling_offsets.bias”, “model.model.transformer.decoder.layers.5.cross_attn.attention_weights.weight”, “model.model.transformer.decoder.layers.5.cross_attn.attention_weights.bias”, “model.model.transformer.decoder.layers.5.cross_attn.value_proj.weight”, “model.model.transformer.decoder.layers.5.cross_attn.value_proj.bias”, “model.model.transformer.decoder.layers.5.cross_attn.output_proj.weight”, “model.model.transformer.decoder.layers.5.cross_attn.output_proj.bias”, “model.model.transformer.decoder.layers.5.norm1.weight”, “model.model.transformer.decoder.layers.5.norm1.bias”, “model.model.transformer.decoder.layers.5.self_attn.in_proj_weight”, “model.model.transformer.decoder.layers.5.self_attn.in_proj_bias”, “model.model.transformer.decoder.layers.5.self_attn.out_proj.weight”, “model.model.transformer.decoder.layers.5.self_attn.out_proj.bias”, “model.model.transformer.decoder.layers.5.norm2.weight”, “model.model.transformer.decoder.layers.5.norm2.bias”, “model.model.transformer.decoder.layers.5.linear1.weight”, “model.model.transformer.decoder.layers.5.linear1.bias”, “model.model.transformer.decoder.layers.5.linear2.weight”, “model.model.transformer.decoder.layers.5.linear2.bias”, “model.model.transformer.decoder.layers.5.norm3.weight”, “model.model.transformer.decoder.layers.5.norm3.bias”, “model.model.transformer.decoder.bbox_embed.0.layers.0.weight”, “model.model.transformer.decoder.bbox_embed.0.layers.0.bias”, “model.model.transformer.decoder.bbox_embed.0.layers.1.weight”, “model.model.transformer.decoder.bbox_embed.0.layers.1.bias”, “model.model.transformer.decoder.bbox_embed.0.layers.2.weight”, “model.model.transformer.decoder.bbox_embed.0.layers.2.bias”, “model.model.transformer.decoder.bbox_embed.1.layers.0.weight”, “model.model.transformer.decoder.bbox_embed.1.layers.0.bias”, “model.model.transformer.decoder.bbox_embed.1.layers.1.weight”, “model.model.transformer.decoder.bbox_embed.1.layers.1.bias”, “model.model.transformer.decoder.bbox_embed.1.layers.2.weight”, “model.model.transformer.decoder.bbox_embed.1.layers.2.bias”, “model.model.transformer.decoder.bbox_embed.2.layers.0.weight”, “model.model.transformer.decoder.bbox_embed.2.layers.0.bias”, “model.model.transformer.decoder.bbox_embed.2.layers.1.weight”, “model.model.transformer.decoder.bbox_embed.2.layers.1.bias”, “model.model.transformer.decoder.bbox_embed.2.layers.2.weight”, “model.model.transformer.decoder.bbox_embed.2.layers.2.bias”, “model.model.transformer.decoder.bbox_embed.3.layers.0.weight”, “model.model.transformer.decoder.bbox_embed.3.layers.0.bias”, “model.model.transformer.decoder.bbox_embed.3.layers.1.weight”, “model.model.transformer.decoder.bbox_embed.3.layers.1.bias”, “model.model.transformer.decoder.bbox_embed.3.layers.2.weight”, “model.model.transformer.decoder.bbox_embed.3.layers.2.bias”, “model.model.transformer.decoder.bbox_embed.4.layers.0.weight”, “model.model.transformer.decoder.bbox_embed.4.layers.0.bias”, “model.model.transformer.decoder.bbox_embed.4.layers.1.weight”, “model.model.transformer.decoder.bbox_embed.4.layers.1.bias”, “model.model.transformer.decoder.bbox_embed.4.layers.2.weight”, “model.model.transformer.decoder.bbox_embed.4.layers.2.bias”, “model.model.transformer.decoder.bbox_embed.5.layers.0.weight”, “model.model.transformer.decoder.bbox_embed.5.layers.0.bias”, “model.model.transformer.decoder.bbox_embed.5.layers.1.weight”, “model.model.transformer.decoder.bbox_embed.5.layers.1.bias”, “model.model.transformer.decoder.bbox_embed.5.layers.2.weight”, “model.model.transformer.decoder.bbox_embed.5.layers.2.bias”, “model.model.transformer.reference_points.weight”, “model.model.transformer.reference_points.bias”, “model.model.class_embed.0.weight”, “model.model.class_embed.0.bias”, “model.model.class_embed.1.weight”, “model.model.class_embed.1.bias”, “model.model.class_embed.2.weight”, “model.model.class_embed.2.bias”, “model.model.class_embed.3.weight”, “model.model.class_embed.3.bias”, “model.model.class_embed.4.weight”, “model.model.class_embed.4.bias”, “model.model.class_embed.5.weight”, “model.model.class_embed.5.bias”, “model.model.bbox_embed.0.layers.0.weight”, “model.model.bbox_embed.0.layers.0.bias”, “model.model.bbox_embed.0.layers.1.weight”, “model.model.bbox_embed.0.layers.1.bias”, “model.model.bbox_embed.0.layers.2.weight”, “model.model.bbox_embed.0.layers.2.bias”, “model.model.bbox_embed.1.layers.0.weight”, “model.model.bbox_embed.1.layers.0.bias”, “model.model.bbox_embed.1.layers.1.weight”, “model.model.bbox_embed.1.layers.1.bias”, “model.model.bbox_embed.1.layers.2.weight”, “model.model.bbox_embed.1.layers.2.bias”, “model.model.bbox_embed.2.layers.0.weight”, “model.model.bbox_embed.2.layers.0.bias”, “model.model.bbox_embed.2.layers.1.weight”, “model.model.bbox_embed.2.layers.1.bias”, “model.model.bbox_embed.2.layers.2.weight”, “model.model.bbox_embed.2.layers.2.bias”, “model.model.bbox_embed.3.layers.0.weight”, “model.model.bbox_embed.3.layers.0.bias”, “model.model.bbox_embed.3.layers.1.weight”, “model.model.bbox_embed.3.layers.1.bias”, “model.model.bbox_embed.3.layers.2.weight”, “model.model.bbox_embed.3.layers.2.bias”, “model.model.bbox_embed.4.layers.0.weight”, “model.model.bbox_embed.4.layers.0.bias”, “model.model.bbox_embed.4.layers.1.weight”, “model.model.bbox_embed.4.layers.1.bias”, “model.model.bbox_embed.4.layers.2.weight”, “model.model.bbox_embed.4.layers.2.bias”, “model.model.bbox_embed.5.layers.0.weight”, “model.model.bbox_embed.5.layers.0.bias”, “model.model.bbox_embed.5.layers.1.weight”, “model.model.bbox_embed.5.layers.1.bias”, “model.model.bbox_embed.5.layers.2.weight”, “model.model.bbox_embed.5.layers.2.bias”, “model.model.query_embed.weight”, “model.model.input_proj.0.0.weight”, “model.model.input_proj.0.0.bias”, “model.model.input_proj.0.1.weight”, “model.model.input_proj.0.1.bias”, “model.model.input_proj.1.0.weight”, “model.model.input_proj.1.0.bias”, “model.model.input_proj.1.1.weight”, “model.model.input_proj.1.1.bias”, “model.model.input_proj.2.0.weight”, “model.model.input_proj.2.0.bias”, “model.model.input_proj.2.1.weight”, “model.model.input_proj.2.1.bias”, “model.model.backbone.0.body.conv1.weight”, “model.model.backbone.0.body.bn1.weight”, “model.model.backbone.0.body.bn1.bias”, “model.model.backbone.0.body.bn1.running_mean”, “model.model.backbone.0.body.bn1.running_var”, “model.model.backbone.0.body.layer1.0.conv1.weight”, “model.model.backbone.0.body.layer1.0.bn1.weight”, “model.model.backbone.0.body.layer1.0.bn1.bias”, “model.model.backbone.0.body.layer1.0.bn1.running_mean”, “model.model.backbone.0.body.layer1.0.bn1.running_var”, “model.model.backbone.0.body.layer1.0.conv2.weight”, “model.model.backbone.0.body.layer1.0.bn2.weight”, “model.model.backbone.0.body.layer1.0.bn2.bias”, “model.model.backbone.0.body.layer1.0.bn2.running_mean”, “model.model.backbone.0.body.layer1.0.bn2.running_var”, “model.model.backbone.0.body.layer1.0.conv3.weight”, “model.model.backbone.0.body.layer1.0.bn3.weight”, “model.model.backbone.0.body.layer1.0.bn3.bias”, “model.model.backbone.0.body.layer1.0.bn3.running_mean”, “model.model.backbone.0.body.layer1.0.bn3.running_var”, “model.model.backbone.0.body.layer1.0.downsample.0.weight”, “model.model.backbone.0.body.layer1.0.downsample.1.weight”, “model.model.backbone.0.body.layer1.0.downsample.1.bias”, “model.model.backbone.0.body.layer1.0.downsample.1.running_mean”, “model.model.backbone.0.body.layer1.0.downsample.1.running_var”, “model.model.backbone.0.body.layer1.1.conv1.weight”, “model.model.backbone.0.body.layer1.1.bn1.weight”, “model.model.backbone.0.body.layer1.1.bn1.bias”, “model.model.backbone.0.body.layer1.1.bn1.running_mean”, “model.model.backbone.0.body.layer1.1.bn1.running_var”, “model.model.backbone.0.body.layer1.1.conv2.weight”, “model.model.backbone.0.body.layer1.1.bn2.weight”, “model.model.backbone.0.body.layer1.1.bn2.bias”, “model.model.backbone.0.body.layer1.1.bn2.running_mean”, “model.model.backbone.0.body.layer1.1.bn2.running_var”, “model.model.backbone.0.body.layer1.1.conv3.weight”, “model.model.backbone.0.body.layer1.1.bn3.weight”, “model.model.backbone.0.body.layer1.1.bn3.bias”, “model.model.backbone.0.body.layer1.1.bn3.running_mean”, “model.model.backbone.0.body.layer1.1.bn3.running_var”, “model.model.backbone.0.body.layer1.2.conv1.weight”, “model.model.backbone.0.body.layer1.2.bn1.weight”, “model.model.backbone.0.body.layer1.2.bn1.bias”, “model.model.backbone.0.body.layer1.2.bn1.running_mean”, “model.model.backbone.0.body.layer1.2.bn1.running_var”, “model.model.backbone.0.body.layer1.2.conv2.weight”, “model.model.backbone.0.body.layer1.2.bn2.weight”, “model.model.backbone.0.body.layer1.2.bn2.bias”, “model.model.backbone.0.body.layer1.2.bn2.running_mean”, “model.model.backbone.0.body.layer1.2.bn2.running_var”, “model.model.backbone.0.body.layer1.2.conv3.weight”, “model.model.backbone.0.body.layer1.2.bn3.weight”, “model.model.backbone.0.body.layer1.2.bn3.bias”, “model.model.backbone.0.body.layer1.2.bn3.running_mean”, “model.model.backbone.0.body.layer1.2.bn3.running_var”, “model.model.backbone.0.body.layer2.0.conv1.weight”, “model.model.backbone.0.body.layer2.0.bn1.weight”, “model.model.backbone.0.body.layer2.0.bn1.bias”, “model.model.backbone.0.body.layer2.0.bn1.running_mean”, “model.model.backbone.0.body.layer2.0.bn1.running_var”, “model.model.backbone.0.body.layer2.0.conv2.weight”, “model.model.backbone.0.body.layer2.0.bn2.weight”, “model.model.backbone.0.body.layer2.0.bn2.bias”, “model.model.backbone.0.body.layer2.0.bn2.running_mean”, “model.model.backbone.0.body.layer2.0.bn2.running_var”, “model.model.backbone.0.body.layer2.0.conv3.weight”, “model.model.backbone.0.body.layer2.0.bn3.weight”, “model.model.backbone.0.body.layer2.0.bn3.bias”, “model.model.backbone.0.body.layer2.0.bn3.running_mean”, “model.model.backbone.0.body.layer2.0.bn3.running_var”, “model.model.backbone.0.body.layer2.0.downsample.0.weight”, “model.model.backbone.0.body.layer2.0.downsample.1.weight”, “model.model.backbone.0.body.layer2.0.downsample.1.bias”, “model.model.backbone.0.body.layer2.0.downsample.1.running_mean”, “model.model.backbone.0.body.layer2.0.downsample.1.running_var”, “model.model.backbone.0.body.layer2.1.conv1.weight”, “model.model.backbone.0.body.layer2.1.bn1.weight”, “model.model.backbone.0.body.layer2.1.bn1.bias”, “model.model.backbone.0.body.layer2.1.bn1.running_mean”, “model.model.backbone.0.body.layer2.1.bn1.running_var”, “model.model.backbone.0.body.layer2.1.conv2.weight”, “model.model.backbone.0.body.layer2.1.bn2.weight”, “model.model.backbone.0.body.layer2.1.bn2.bias”, “model.model.backbone.0.body.layer2.1.bn2.running_mean”, “model.model.backbone.0.body.layer2.1.bn2.running_var”, “model.model.backbone.0.body.layer2.1.conv3.weight”, “model.model.backbone.0.body.layer2.1.bn3.weight”, “model.model.backbone.0.body.layer2.1.bn3.bias”, “model.model.backbone.0.body.layer2.1.bn3.running_mean”, “model.model.backbone.0.body.layer2.1.bn3.running_var”, “model.model.backbone.0.body.layer2.2.conv1.weight”, “model.model.backbone.0.body.layer2.2.bn1.weight”, “model.model.backbone.0.body.layer2.2.bn1.bias”, “model.model.backbone.0.body.layer2.2.bn1.running_mean”, “model.model.backbone.0.body.layer2.2.bn1.running_var”, “model.model.backbone.0.body.layer2.2.conv2.weight”, “model.model.backbone.0.body.layer2.2.bn2.weight”, “model.model.backbone.0.body.layer2.2.bn2.bias”, “model.model.backbone.0.body.layer2.2.bn2.running_mean”, “model.model.backbone.0.body.layer2.2.bn2.running_var”, “model.model.backbone.0.body.layer2.2.conv3.weight”, “model.model.backbone.0.body.layer2.2.bn3.weight”, “model.model.backbone.0.body.layer2.2.bn3.bias”, “model.model.backbone.0.body.layer2.2.bn3.running_mean”, “model.model.backbone.0.body.layer2.2.bn3.running_var”, “model.model.backbone.0.body.layer2.3.conv1.weight”, “model.model.backbone.0.body.layer2.3.bn1.weight”, “model.model.backbone.0.body.layer2.3.bn1.bias”, “model.model.backbone.0.body.layer2.3.bn1.running_mean”, “model.model.backbone.0.body.layer2.3.bn1.running_var”, “model.model.backbone.0.body.layer2.3.conv2.weight”, “model.model.backbone.0.body.layer2.3.bn2.weight”, “model.model.backbone.0.body.layer2.3.bn2.bias”, “model.model.backbone.0.body.layer2.3.bn2.running_mean”, “model.model.backbone.0.body.layer2.3.bn2.running_var”, “model.model.backbone.0.body.layer2.3.conv3.weight”, “model.model.backbone.0.body.layer2.3.bn3.weight”, “model.model.backbone.0.body.layer2.3.bn3.bias”, “model.model.backbone.0.body.layer2.3.bn3.running_mean”, “model.model.backbone.0.body.layer2.3.bn3.running_var”, “model.model.backbone.0.body.layer3.0.conv1.weight”, “model.model.backbone.0.body.layer3.0.bn1.weight”, “model.model.backbone.0.body.layer3.0.bn1.bias”, “model.model.backbone.0.body.layer3.0.bn1.running_mean”, “model.model.backbone.0.body.layer3.0.bn1.running_var”, “model.model.backbone.0.body.layer3.0.conv2.weight”, “model.model.backbone.0.body.layer3.0.bn2.weight”, “model.model.backbone.0.body.layer3.0.bn2.bias”, “model.model.backbone.0.body.layer3.0.bn2.running_mean”, “model.model.backbone.0.body.layer3.0.bn2.running_var”, “model.model.backbone.0.body.layer3.0.conv3.weight”, “model.model.backbone.0.body.layer3.0.bn3.weight”, “model.model.backbone.0.body.layer3.0.bn3.bias”, “model.model.backbone.0.body.layer3.0.bn3.running_mean”, “model.model.backbone.0.body.layer3.0.bn3.running_var”, “model.model.backbone.0.body.layer3.0.downsample.0.weight”, “model.model.backbone.0.body.layer3.0.downsample.1.weight”, “model.model.backbone.0.body.layer3.0.downsample.1.bias”, “model.model.backbone.0.body.layer3.0.downsample.1.running_mean”, “model.model.backbone.0.body.layer3.0.downsample.1.running_var”, “model.model.backbone.0.body.layer3.1.conv1.weight”, “model.model.backbone.0.body.layer3.1.bn1.weight”, “model.model.backbone.0.body.layer3.1.bn1.bias”, “model.model.backbone.0.body.layer3.1.bn1.running_mean”, “model.model.backbone.0.body.layer3.1.bn1.running_var”, “model.model.backbone.0.body.layer3.1.conv2.weight”, “model.model.backbone.0.body.layer3.1.bn2.weight”, “model.model.backbone.0.body.layer3.1.bn2.bias”, “model.model.backbone.0.body.layer3.1.bn2.running_mean”, “model.model.backbone.0.body.layer3.1.bn2.running_var”, “model.model.backbone.0.body.layer3.1.conv3.weight”, “model.model.backbone.0.body.layer3.1.bn3.weight”, “model.model.backbone.0.body.layer3.1.bn3.bias”, “model.model.backbone.0.body.layer3.1.bn3.running_mean”, “model.model.backbone.0.body.layer3.1.bn3.running_var”, “model.model.backbone.0.body.layer3.2.conv1.weight”, “model.model.backbone.0.body.layer3.2.bn1.weight”, “model.model.backbone.0.body.layer3.2.bn1.bias”, “model.model.backbone.0.body.layer3.2.bn1.running_mean”, “model.model.backbone.0.body.layer3.2.bn1.running_var”, “model.model.backbone.0.body.layer3.2.conv2.weight”, “model.model.backbone.0.body.layer3.2.bn2.weight”, “model.model.backbone.0.body.layer3.2.bn2.bias”, “model.model.backbone.0.body.layer3.2.bn2.running_mean”, “model.model.backbone.0.body.layer3.2.bn2.running_var”, “model.model.backbone.0.body.layer3.2.conv3.weight”, “model.model.backbone.0.body.layer3.2.bn3.weight”, “model.model.backbone.0.body.layer3.2.bn3.bias”, “model.model.backbone.0.body.layer3.2.bn3.running_mean”, “model.model.backbone.0.body.layer3.2.bn3.running_var”, “model.model.backbone.0.body.layer3.3.conv1.weight”, “model.model.backbone.0.body.layer3.3.bn1.weight”, “model.model.backbone.0.body.layer3.3.bn1.bias”, “model.model.backbone.0.body.layer3.3.bn1.running_mean”, “model.model.backbone.0.body.layer3.3.bn1.running_var”, “model.model.backbone.0.body.layer3.3.conv2.weight”, “model.model.backbone.0.body.layer3.3.bn2.weight”, “model.model.backbone.0.body.layer3.3.bn2.bias”, “model.model.backbone.0.body.layer3.3.bn2.running_mean”, “model.model.backbone.0.body.layer3.3.bn2.running_var”, “model.model.backbone.0.body.layer3.3.conv3.weight”, “model.model.backbone.0.body.layer3.3.bn3.weight”, “model.model.backbone.0.body.layer3.3.bn3.bias”, “model.model.backbone.0.body.layer3.3.bn3.running_mean”, “model.model.backbone.0.body.layer3.3.bn3.running_var”, “model.model.backbone.0.body.layer3.4.conv1.weight”, “model.model.backbone.0.body.layer3.4.bn1.weight”, “model.model.backbone.0.body.layer3.4.bn1.bias”, “model.model.backbone.0.body.layer3.4.bn1.running_mean”, “model.model.backbone.0.body.layer3.4.bn1.running_var”, “model.model.backbone.0.body.layer3.4.conv2.weight”, “model.model.backbone.0.body.layer3.4.bn2.weight”, “model.model.backbone.0.body.layer3.4.bn2.bias”, “model.model.backbone.0.body.layer3.4.bn2.running_mean”, “model.model.backbone.0.body.layer3.4.bn2.running_var”, “model.model.backbone.0.body.layer3.4.conv3.weight”, “model.model.backbone.0.body.layer3.4.bn3.weight”, “model.model.backbone.0.body.layer3.4.bn3.bias”, “model.model.backbone.0.body.layer3.4.bn3.running_mean”, “model.model.backbone.0.body.layer3.4.bn3.running_var”, “model.model.backbone.0.body.layer3.5.conv1.weight”, “model.model.backbone.0.body.layer3.5.bn1.weight”, “model.model.backbone.0.body.layer3.5.bn1.bias”, “model.model.backbone.0.body.layer3.5.bn1.running_mean”, “model.model.backbone.0.body.layer3.5.bn1.running_var”, “model.model.backbone.0.body.layer3.5.conv2.weight”, “model.model.backbone.0.body.layer3.5.bn2.weight”, “model.model.backbone.0.body.layer3.5.bn2.bias”, “model.model.backbone.0.body.layer3.5.bn2.running_mean”, “model.model.backbone.0.body.layer3.5.bn2.running_var”, “model.model.backbone.0.body.layer3.5.conv3.weight”, “model.model.backbone.0.body.layer3.5.bn3.weight”, “model.model.backbone.0.body.layer3.5.bn3.bias”, “model.model.backbone.0.body.layer3.5.bn3.running_mean”, “model.model.backbone.0.body.layer3.5.bn3.running_var”, “model.model.backbone.0.body.layer4.0.conv1.weight”, “model.model.backbone.0.body.layer4.0.bn1.weight”, “model.model.backbone.0.body.layer4.0.bn1.bias”, “model.model.backbone.0.body.layer4.0.bn1.running_mean”, “model.model.backbone.0.body.layer4.0.bn1.running_var”, “model.model.backbone.0.body.layer4.0.conv2.weight”, “model.model.backbone.0.body.layer4.0.bn2.weight”, “model.model.backbone.0.body.layer4.0.bn2.bias”, “model.model.backbone.0.body.layer4.0.bn2.running_mean”, “model.model.backbone.0.body.layer4.0.bn2.running_var”, “model.model.backbone.0.body.layer4.0.conv3.weight”, “model.model.backbone.0.body.layer4.0.bn3.weight”, “model.model.backbone.0.body.layer4.0.bn3.bias”, “model.model.backbone.0.body.layer4.0.bn3.running_mean”, “model.model.backbone.0.body.layer4.0.bn3.running_var”, “model.model.backbone.0.body.layer4.0.downsample.0.weight”, “model.model.backbone.0.body.layer4.0.downsample.1.weight”, “model.model.backbone.0.body.layer4.0.downsample.1.bias”, “model.model.backbone.0.body.layer4.0.downsample.1.running_mean”, “model.model.backbone.0.body.layer4.0.downsample.1.running_var”, “model.model.backbone.0.body.layer4.1.conv1.weight”, “model.model.backbone.0.body.layer4.1.bn1.weight”, “model.model.backbone.0.body.layer4.1.bn1.bias”, “model.model.backbone.0.body.layer4.1.bn1.running_mean”, “model.model.backbone.0.body.layer4.1.bn1.running_var”, “model.model.backbone.0.body.layer4.1.conv2.weight”, “model.model.backbone.0.body.layer4.1.bn2.weight”, “model.model.backbone.0.body.layer4.1.bn2.bias”, “model.model.backbone.0.body.layer4.1.bn2.running_mean”, “model.model.backbone.0.body.layer4.1.bn2.running_var”, “model.model.backbone.0.body.layer4.1.conv3.weight”, “model.model.backbone.0.body.layer4.1.bn3.weight”, “model.model.backbone.0.body.layer4.1.bn3.bias”, “model.model.backbone.0.body.layer4.1.bn3.running_mean”, “model.model.backbone.0.body.layer4.1.bn3.running_var”, “model.model.backbone.0.body.layer4.2.conv1.weight”, “model.model.backbone.0.body.layer4.2.bn1.weight”, “model.model.backbone.0.body.layer4.2.bn1.bias”, “model.model.backbone.0.body.layer4.2.bn1.running_mean”, “model.model.backbone.0.body.layer4.2.bn1.running_var”, “model.model.backbone.0.body.layer4.2.conv2.weight”, “model.model.backbone.0.body.layer4.2.bn2.weight”, “model.model.backbone.0.body.layer4.2.bn2.bias”, “model.model.backbone.0.body.layer4.2.bn2.running_mean”, “model.model.backbone.0.body.layer4.2.bn2.running_var”, “model.model.backbone.0.body.layer4.2.conv3.weight”, “model.model.backbone.0.body.layer4.2.bn3.weight”, “model.model.backbone.0.body.layer4.2.bn3.bias”, “model.model.backbone.0.body.layer4.2.bn3.running_mean”, “model.model.backbone.0.body.layer4.2.bn3.running_var”.
Telemetry data couldn’t be sent, but the command ran successfully.
[Error]: <urlopen error [Errno -2] Name or service not known>
Execution status: FAIL