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March 22, 2023 18:57
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nix log /nix/store/i1snfp8ggkpph2s23l4bcla9s8jxlpbf-python3.10-timm-0.6.12.drv
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Sourcing python-remove-tests-dir-hook | |
Sourcing python-catch-conflicts-hook.sh | |
Sourcing python-remove-bin-bytecode-hook.sh | |
Sourcing setuptools-build-hook | |
Using setuptoolsBuildPhase | |
Using setuptoolsShellHook | |
Sourcing pip-install-hook | |
Using pipInstallPhase | |
Sourcing python-imports-check-hook.sh | |
Using pythonImportsCheckPhase | |
Sourcing python-namespaces-hook | |
Sourcing python-catch-conflicts-hook.sh | |
Sourcing setuptools-check-hook | |
Using setuptoolsCheckPhase | |
Sourcing pytest-check-hook | |
Using pytestCheckPhase | |
Removing setuptoolsCheckPhase | |
@nix { "action": "setPhase", "phase": "unpackPhase" } | |
unpacking sources | |
unpacking source archive /nix/store/axn6vvfksi4bskbmz7ndy40zim7klayl-source | |
source root is source | |
setting SOURCE_DATE_EPOCH to timestamp 315619200 of file source/validate.py | |
@nix { "action": "setPhase", "phase": "patchPhase" } | |
patching sources | |
@nix { "action": "setPhase", "phase": "configurePhase" } | |
configuring | |
no configure script, doing nothing | |
@nix { "action": "setPhase", "phase": "buildPhase" } | |
building | |
Executing setuptoolsBuildPhase | |
running bdist_wheel | |
running build | |
running build_py | |
creating build | |
creating build/lib | |
creating build/lib/timm | |
copying timm/__init__.py -> build/lib/timm | |
copying timm/version.py -> build/lib/timm | |
creating build/lib/timm/utils | |
copying timm/utils/misc.py -> build/lib/timm/utils | |
copying timm/utils/log.py -> build/lib/timm/utils | |
copying timm/utils/decay_batch.py -> build/lib/timm/utils | |
copying timm/utils/clip_grad.py -> build/lib/timm/utils | |
copying timm/utils/__init__.py -> build/lib/timm/utils | |
copying timm/utils/model_ema.py -> build/lib/timm/utils | |
copying timm/utils/cuda.py -> build/lib/timm/utils | |
copying timm/utils/distributed.py -> build/lib/timm/utils | |
copying timm/utils/metrics.py -> build/lib/timm/utils | |
copying timm/utils/summary.py -> build/lib/timm/utils | |
copying timm/utils/random.py -> build/lib/timm/utils | |
copying timm/utils/agc.py -> build/lib/timm/utils | |
copying timm/utils/model.py -> build/lib/timm/utils | |
copying timm/utils/checkpoint_saver.py -> build/lib/timm/utils | |
copying timm/utils/jit.py -> build/lib/timm/utils | |
creating build/lib/timm/loss | |
copying timm/loss/asymmetric_loss.py -> build/lib/timm/loss | |
copying timm/loss/__init__.py -> build/lib/timm/loss | |
copying timm/loss/cross_entropy.py -> build/lib/timm/loss | |
copying timm/loss/jsd.py -> build/lib/timm/loss | |
copying timm/loss/binary_cross_entropy.py -> build/lib/timm/loss | |
creating build/lib/timm/optim | |
copying timm/optim/adahessian.py -> build/lib/timm/optim | |
copying timm/optim/optim_factory.py -> build/lib/timm/optim | |
copying timm/optim/madgrad.py -> build/lib/timm/optim | |
copying timm/optim/radam.py -> build/lib/timm/optim | |
copying timm/optim/__init__.py -> build/lib/timm/optim | |
copying timm/optim/lars.py -> build/lib/timm/optim | |
copying timm/optim/nadam.py -> build/lib/timm/optim | |
copying timm/optim/lookahead.py -> build/lib/timm/optim | |
copying timm/optim/adabelief.py -> build/lib/timm/optim | |
copying timm/optim/lamb.py -> build/lib/timm/optim | |
copying timm/optim/adamw.py -> build/lib/timm/optim | |
copying timm/optim/rmsprop_tf.py -> build/lib/timm/optim | |
copying timm/optim/nvnovograd.py -> build/lib/timm/optim | |
copying timm/optim/adamp.py -> build/lib/timm/optim | |
copying timm/optim/adafactor.py -> build/lib/timm/optim | |
copying timm/optim/sgdp.py -> build/lib/timm/optim | |
creating build/lib/timm/models | |
copying timm/models/byoanet.py -> build/lib/timm/models | |
copying timm/models/nfnet.py -> build/lib/timm/models | |
copying timm/models/efficientformer.py -> build/lib/timm/models | |
copying timm/models/features.py -> build/lib/timm/models | |
copying timm/models/regnet.py -> build/lib/timm/models | |
copying timm/models/tresnet.py -> build/lib/timm/models | |
copying timm/models/vovnet.py -> build/lib/timm/models | |
copying timm/models/poolformer.py -> build/lib/timm/models | |
copying timm/models/swin_transformer_v2.py -> build/lib/timm/models | |
copying timm/models/resnet.py -> build/lib/timm/models | |
copying timm/models/sknet.py -> build/lib/timm/models | |
copying timm/models/gluon_xception.py -> build/lib/timm/models | |
copying timm/models/gcvit.py -> build/lib/timm/models | |
copying timm/models/vgg.py -> build/lib/timm/models | |
copying timm/models/mobilenetv3.py -> build/lib/timm/models | |
copying timm/models/dpn.py -> build/lib/timm/models | |
copying timm/models/vision_transformer_relpos.py -> build/lib/timm/models | |
copying timm/models/cait.py -> build/lib/timm/models | |
copying timm/models/__init__.py -> build/lib/timm/models | |
copying timm/models/inception_v4.py -> build/lib/timm/models | |
copying timm/models/vision_transformer_hybrid.py -> build/lib/timm/models | |
copying timm/models/mvitv2.py -> build/lib/timm/models | |
copying timm/models/res2net.py -> build/lib/timm/models | |
copying timm/models/visformer.py -> build/lib/timm/models | |
copying timm/models/deit.py -> build/lib/timm/models | |
copying timm/models/coat.py -> build/lib/timm/models | |
copying timm/models/xception_aligned.py -> build/lib/timm/models | |
copying timm/models/resnetv2.py -> build/lib/timm/models | |
copying timm/models/inception_v3.py -> build/lib/timm/models | |
copying timm/models/efficientnet_builder.py -> build/lib/timm/models | |
copying timm/models/volo.py -> build/lib/timm/models | |
copying timm/models/beit.py -> build/lib/timm/models | |
copying timm/models/inception_resnet_v2.py -> build/lib/timm/models | |
copying timm/models/factory.py -> build/lib/timm/models | |
copying timm/models/pvt_v2.py -> build/lib/timm/models | |
copying timm/models/gluon_resnet.py -> build/lib/timm/models | |
copying timm/models/edgenext.py -> build/lib/timm/models | |
copying timm/models/levit.py -> build/lib/timm/models | |
copying timm/models/crossvit.py -> build/lib/timm/models | |
copying timm/models/pnasnet.py -> build/lib/timm/models | |
copying timm/models/byobnet.py -> build/lib/timm/models | |
copying timm/models/hub.py -> build/lib/timm/models | |
copying timm/models/xception.py -> build/lib/timm/models | |
copying timm/models/selecsls.py -> build/lib/timm/models | |
copying timm/models/nasnet.py -> build/lib/timm/models | |
copying timm/models/densenet.py -> build/lib/timm/models | |
copying timm/models/hrnet.py -> build/lib/timm/models | |
copying timm/models/cspnet.py -> build/lib/timm/models | |
copying timm/models/mobilevit.py -> build/lib/timm/models | |
copying timm/models/twins.py -> build/lib/timm/models | |
copying timm/models/efficientnet_blocks.py -> build/lib/timm/models | |
copying timm/models/maxxvit.py -> build/lib/timm/models | |
copying timm/models/convnext.py -> build/lib/timm/models | |
copying timm/models/efficientnet.py -> build/lib/timm/models | |
copying timm/models/dla.py -> build/lib/timm/models | |
copying timm/models/mlp_mixer.py -> build/lib/timm/models | |
copying timm/models/pit.py -> build/lib/timm/models | |
copying timm/models/xcit.py -> build/lib/timm/models | |
copying timm/models/convmixer.py -> build/lib/timm/models | |
copying timm/models/tnt.py -> build/lib/timm/models | |
copying timm/models/vision_transformer.py -> build/lib/timm/models | |
copying timm/models/helpers.py -> build/lib/timm/models | |
copying timm/models/senet.py -> build/lib/timm/models | |
copying timm/models/resnest.py -> build/lib/timm/models | |
copying timm/models/convit.py -> build/lib/timm/models | |
copying timm/models/rexnet.py -> build/lib/timm/models | |
copying timm/models/ghostnet.py -> build/lib/timm/models | |
copying timm/models/swin_transformer_v2_cr.py -> build/lib/timm/models | |
copying timm/models/swin_transformer.py -> build/lib/timm/models | |
copying timm/models/fx_features.py -> build/lib/timm/models | |
copying timm/models/registry.py -> build/lib/timm/models | |
copying timm/models/hardcorenas.py -> build/lib/timm/models | |
copying timm/models/sequencer.py -> build/lib/timm/models | |
copying timm/models/nest.py -> build/lib/timm/models | |
creating build/lib/timm/scheduler | |
copying timm/scheduler/multistep_lr.py -> build/lib/timm/scheduler | |
copying timm/scheduler/__init__.py -> build/lib/timm/scheduler | |
copying timm/scheduler/tanh_lr.py -> build/lib/timm/scheduler | |
copying timm/scheduler/scheduler.py -> build/lib/timm/scheduler | |
copying timm/scheduler/step_lr.py -> build/lib/timm/scheduler | |
copying timm/scheduler/scheduler_factory.py -> build/lib/timm/scheduler | |
copying timm/scheduler/cosine_lr.py -> build/lib/timm/scheduler | |
copying timm/scheduler/poly_lr.py -> build/lib/timm/scheduler | |
copying timm/scheduler/plateau_lr.py -> build/lib/timm/scheduler | |
creating build/lib/timm/data | |
copying timm/data/real_labels.py -> build/lib/timm/data | |
copying timm/data/loader.py -> build/lib/timm/data | |
copying timm/data/__init__.py -> build/lib/timm/data | |
copying timm/data/transforms_factory.py -> build/lib/timm/data | |
copying timm/data/auto_augment.py -> build/lib/timm/data | |
copying timm/data/tf_preprocessing.py -> build/lib/timm/data | |
copying timm/data/mixup.py -> build/lib/timm/data | |
copying timm/data/constants.py -> build/lib/timm/data | |
copying timm/data/config.py -> build/lib/timm/data | |
copying timm/data/transforms.py -> build/lib/timm/data | |
copying timm/data/random_erasing.py -> build/lib/timm/data | |
copying timm/data/dataset_factory.py -> build/lib/timm/data | |
copying timm/data/distributed_sampler.py -> build/lib/timm/data | |
copying timm/data/dataset.py -> build/lib/timm/data | |
creating build/lib/timm/models/layers | |
copying timm/models/layers/classifier.py -> build/lib/timm/models/layers | |
copying timm/models/layers/patch_embed.py -> build/lib/timm/models/layers | |
copying timm/models/layers/halo_attn.py -> build/lib/timm/models/layers | |
copying timm/models/layers/evo_norm.py -> build/lib/timm/models/layers | |
copying timm/models/layers/std_conv.py -> build/lib/timm/models/layers | |
copying timm/models/layers/separable_conv.py -> build/lib/timm/models/layers | |
copying timm/models/layers/create_norm_act.py -> build/lib/timm/models/layers | |
copying timm/models/layers/norm.py -> build/lib/timm/models/layers | |
copying timm/models/layers/selective_kernel.py -> build/lib/timm/models/layers | |
copying timm/models/layers/eca.py -> build/lib/timm/models/layers | |
copying timm/models/layers/cond_conv2d.py -> build/lib/timm/models/layers | |
copying timm/models/layers/lambda_layer.py -> build/lib/timm/models/layers | |
copying timm/models/layers/filter_response_norm.py -> build/lib/timm/models/layers | |
copying timm/models/layers/mlp.py -> build/lib/timm/models/layers | |
copying timm/models/layers/__init__.py -> build/lib/timm/models/layers | |
copying timm/models/layers/create_act.py -> build/lib/timm/models/layers | |
copying timm/models/layers/activations.py -> build/lib/timm/models/layers | |
copying timm/models/layers/space_to_depth.py -> build/lib/timm/models/layers | |
copying timm/models/layers/conv_bn_act.py -> build/lib/timm/models/layers | |
copying timm/models/layers/create_conv2d.py -> build/lib/timm/models/layers | |
copying timm/models/layers/cbam.py -> build/lib/timm/models/layers | |
copying timm/models/layers/norm_act.py -> build/lib/timm/models/layers | |
copying timm/models/layers/create_attn.py -> build/lib/timm/models/layers | |
copying timm/models/layers/trace_utils.py -> build/lib/timm/models/layers | |
copying timm/models/layers/linear.py -> build/lib/timm/models/layers | |
copying timm/models/layers/fast_norm.py -> build/lib/timm/models/layers | |
copying timm/models/layers/activations_me.py -> build/lib/timm/models/layers | |
copying timm/models/layers/weight_init.py -> build/lib/timm/models/layers | |
copying timm/models/layers/pos_embed.py -> build/lib/timm/models/layers | |
copying timm/models/layers/config.py -> build/lib/timm/models/layers | |
copying timm/models/layers/split_batchnorm.py -> build/lib/timm/models/layers | |
copying timm/models/layers/padding.py -> build/lib/timm/models/layers | |
copying timm/models/layers/split_attn.py -> build/lib/timm/models/layers | |
copying timm/models/layers/blur_pool.py -> build/lib/timm/models/layers | |
copying timm/models/layers/inplace_abn.py -> build/lib/timm/models/layers | |
copying timm/models/layers/test_time_pool.py -> build/lib/timm/models/layers | |
copying timm/models/layers/ml_decoder.py -> build/lib/timm/models/layers | |
copying timm/models/layers/attention_pool2d.py -> build/lib/timm/models/layers | |
copying timm/models/layers/mixed_conv2d.py -> build/lib/timm/models/layers | |
copying timm/models/layers/gather_excite.py -> build/lib/timm/models/layers | |
copying timm/models/layers/adaptive_avgmax_pool.py -> build/lib/timm/models/layers | |
copying timm/models/layers/squeeze_excite.py -> build/lib/timm/models/layers | |
copying timm/models/layers/activations_jit.py -> build/lib/timm/models/layers | |
copying timm/models/layers/non_local_attn.py -> build/lib/timm/models/layers | |
copying timm/models/layers/helpers.py -> build/lib/timm/models/layers | |
copying timm/models/layers/create_norm.py -> build/lib/timm/models/layers | |
copying timm/models/layers/bottleneck_attn.py -> build/lib/timm/models/layers | |
copying timm/models/layers/conv2d_same.py -> build/lib/timm/models/layers | |
copying timm/models/layers/median_pool.py -> build/lib/timm/models/layers | |
copying timm/models/layers/global_context.py -> build/lib/timm/models/layers | |
copying timm/models/layers/drop.py -> build/lib/timm/models/layers | |
copying timm/models/layers/pool2d_same.py -> build/lib/timm/models/layers | |
creating build/lib/timm/data/parsers | |
copying timm/data/parsers/parser_tfds.py -> build/lib/timm/data/parsers | |
copying timm/data/parsers/img_extensions.py -> build/lib/timm/data/parsers | |
copying timm/data/parsers/parser.py -> build/lib/timm/data/parsers | |
copying timm/data/parsers/parser_image_in_tar.py -> build/lib/timm/data/parsers | |
copying timm/data/parsers/parser_image_tar.py -> build/lib/timm/data/parsers | |
copying timm/data/parsers/__init__.py -> build/lib/timm/data/parsers | |
copying timm/data/parsers/parser_image_folder.py -> build/lib/timm/data/parsers | |
copying timm/data/parsers/class_map.py -> build/lib/timm/data/parsers | |
copying timm/data/parsers/parser_factory.py -> build/lib/timm/data/parsers | |
running egg_info | |
creating timm.egg-info | |
writing timm.egg-info/PKG-INFO | |
writing dependency_links to timm.egg-info/dependency_links.txt | |
writing requirements to timm.egg-info/requires.txt | |
writing top-level names to timm.egg-info/top_level.txt | |
writing manifest file 'timm.egg-info/SOURCES.txt' | |
reading manifest file 'timm.egg-info/SOURCES.txt' | |
reading manifest template 'MANIFEST.in' | |
adding license file 'LICENSE' | |
writing manifest file 'timm.egg-info/SOURCES.txt' | |
/nix/store/8zx4h7r5mn1b913hgi8rwjfynwg1wgdi-python3.10-setuptools-67.4.0/lib/python3.10/site-packages/setuptools/command/build_py.py:202: SetuptoolsDeprecationWarning: Installing 'timm.models.pruned' as data is deprecated, please list it in `packages`. | |
!! | |
############################ | |
# Package would be ignored # | |
############################ | |
Python recognizes 'timm.models.pruned' as an importable package, | |
but it is not listed in the `packages` configuration of setuptools. | |
'timm.models.pruned' has been automatically added to the distribution only | |
because it may contain data files, but this behavior is likely to change | |
in future versions of setuptools (and therefore is considered deprecated). | |
Please make sure that 'timm.models.pruned' is included as a package by using | |
the `packages` configuration field or the proper discovery methods | |
(for example by using `find_namespace_packages(...)`/`find_namespace:` | |
instead of `find_packages(...)`/`find:`). | |
You can read more about "package discovery" and "data files" on setuptools | |
documentation page. | |
!! | |
check.warn(importable) | |
creating build/lib/timm/models/pruned | |
copying timm/models/pruned/ecaresnet101d_pruned.txt -> build/lib/timm/models/pruned | |
copying timm/models/pruned/ecaresnet50d_pruned.txt -> build/lib/timm/models/pruned | |
copying timm/models/pruned/efficientnet_b1_pruned.txt -> build/lib/timm/models/pruned | |
copying timm/models/pruned/efficientnet_b2_pruned.txt -> build/lib/timm/models/pruned | |
copying timm/models/pruned/efficientnet_b3_pruned.txt -> build/lib/timm/models/pruned | |
/nix/store/8zx4h7r5mn1b913hgi8rwjfynwg1wgdi-python3.10-setuptools-67.4.0/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. | |
warnings.warn( | |
installing to build/bdist.linux-x86_64/wheel | |
running install | |
running install_lib | |
creating build/bdist.linux-x86_64 | |
creating build/bdist.linux-x86_64/wheel | |
creating build/bdist.linux-x86_64/wheel/timm | |
creating build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/misc.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/log.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/decay_batch.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/clip_grad.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/__init__.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/model_ema.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/cuda.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/distributed.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/metrics.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/summary.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/random.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/agc.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/model.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/checkpoint_saver.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/utils/jit.py -> build/bdist.linux-x86_64/wheel/timm/utils | |
copying build/lib/timm/__init__.py -> build/bdist.linux-x86_64/wheel/timm | |
creating build/bdist.linux-x86_64/wheel/timm/loss | |
copying build/lib/timm/loss/asymmetric_loss.py -> build/bdist.linux-x86_64/wheel/timm/loss | |
copying build/lib/timm/loss/__init__.py -> build/bdist.linux-x86_64/wheel/timm/loss | |
copying build/lib/timm/loss/cross_entropy.py -> build/bdist.linux-x86_64/wheel/timm/loss | |
copying build/lib/timm/loss/jsd.py -> build/bdist.linux-x86_64/wheel/timm/loss | |
copying build/lib/timm/loss/binary_cross_entropy.py -> build/bdist.linux-x86_64/wheel/timm/loss | |
creating build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/adahessian.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/optim_factory.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/madgrad.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/radam.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/__init__.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/lars.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/nadam.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/lookahead.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/adabelief.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/lamb.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/adamw.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/rmsprop_tf.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/nvnovograd.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/adamp.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/adafactor.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
copying build/lib/timm/optim/sgdp.py -> build/bdist.linux-x86_64/wheel/timm/optim | |
creating build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/byoanet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/nfnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/efficientformer.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/features.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/regnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/tresnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/vovnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/poolformer.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/swin_transformer_v2.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/resnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/sknet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/gluon_xception.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/gcvit.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/vgg.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/mobilenetv3.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/dpn.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/vision_transformer_relpos.py -> build/bdist.linux-x86_64/wheel/timm/models | |
creating build/bdist.linux-x86_64/wheel/timm/models/pruned | |
copying build/lib/timm/models/pruned/ecaresnet50d_pruned.txt -> build/bdist.linux-x86_64/wheel/timm/models/pruned | |
copying build/lib/timm/models/pruned/ecaresnet101d_pruned.txt -> build/bdist.linux-x86_64/wheel/timm/models/pruned | |
copying build/lib/timm/models/pruned/efficientnet_b3_pruned.txt -> build/bdist.linux-x86_64/wheel/timm/models/pruned | |
copying build/lib/timm/models/pruned/efficientnet_b2_pruned.txt -> build/bdist.linux-x86_64/wheel/timm/models/pruned | |
copying build/lib/timm/models/pruned/efficientnet_b1_pruned.txt -> build/bdist.linux-x86_64/wheel/timm/models/pruned | |
copying build/lib/timm/models/cait.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/__init__.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/inception_v4.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/vision_transformer_hybrid.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/mvitv2.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/res2net.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/visformer.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/deit.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/coat.py -> build/bdist.linux-x86_64/wheel/timm/models | |
creating build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/classifier.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/patch_embed.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/halo_attn.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/evo_norm.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/std_conv.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/separable_conv.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/create_norm_act.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/norm.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/selective_kernel.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/eca.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/cond_conv2d.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/lambda_layer.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/filter_response_norm.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/mlp.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/__init__.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/create_act.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/activations.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/space_to_depth.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/conv_bn_act.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/create_conv2d.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/cbam.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/norm_act.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/create_attn.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/trace_utils.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/linear.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/fast_norm.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/activations_me.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/weight_init.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/pos_embed.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/config.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/split_batchnorm.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/padding.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/split_attn.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/blur_pool.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/inplace_abn.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/test_time_pool.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/ml_decoder.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/attention_pool2d.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/mixed_conv2d.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/gather_excite.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/adaptive_avgmax_pool.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/squeeze_excite.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/activations_jit.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/non_local_attn.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/helpers.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/create_norm.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/bottleneck_attn.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/conv2d_same.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/median_pool.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/global_context.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/drop.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/layers/pool2d_same.py -> build/bdist.linux-x86_64/wheel/timm/models/layers | |
copying build/lib/timm/models/xception_aligned.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/resnetv2.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/inception_v3.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/efficientnet_builder.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/volo.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/beit.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/inception_resnet_v2.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/factory.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/pvt_v2.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/gluon_resnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/edgenext.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/levit.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/crossvit.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/pnasnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/byobnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/hub.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/xception.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/selecsls.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/nasnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/densenet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/hrnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/cspnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/mobilevit.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/twins.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/efficientnet_blocks.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/maxxvit.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/convnext.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/efficientnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/dla.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/mlp_mixer.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/pit.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/xcit.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/convmixer.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/tnt.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/vision_transformer.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/helpers.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/senet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/resnest.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/convit.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/rexnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/ghostnet.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/swin_transformer_v2_cr.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/swin_transformer.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/fx_features.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/registry.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/hardcorenas.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/sequencer.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/models/nest.py -> build/bdist.linux-x86_64/wheel/timm/models | |
copying build/lib/timm/version.py -> build/bdist.linux-x86_64/wheel/timm | |
creating build/bdist.linux-x86_64/wheel/timm/scheduler | |
copying build/lib/timm/scheduler/multistep_lr.py -> build/bdist.linux-x86_64/wheel/timm/scheduler | |
copying build/lib/timm/scheduler/__init__.py -> build/bdist.linux-x86_64/wheel/timm/scheduler | |
copying build/lib/timm/scheduler/tanh_lr.py -> build/bdist.linux-x86_64/wheel/timm/scheduler | |
copying build/lib/timm/scheduler/scheduler.py -> build/bdist.linux-x86_64/wheel/timm/scheduler | |
copying build/lib/timm/scheduler/step_lr.py -> build/bdist.linux-x86_64/wheel/timm/scheduler | |
copying build/lib/timm/scheduler/scheduler_factory.py -> build/bdist.linux-x86_64/wheel/timm/scheduler | |
copying build/lib/timm/scheduler/cosine_lr.py -> build/bdist.linux-x86_64/wheel/timm/scheduler | |
copying build/lib/timm/scheduler/poly_lr.py -> build/bdist.linux-x86_64/wheel/timm/scheduler | |
copying build/lib/timm/scheduler/plateau_lr.py -> build/bdist.linux-x86_64/wheel/timm/scheduler | |
creating build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/real_labels.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/loader.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/__init__.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/transforms_factory.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/auto_augment.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/tf_preprocessing.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/mixup.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/constants.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/config.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/transforms.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/random_erasing.py -> build/bdist.linux-x86_64/wheel/timm/data | |
creating build/bdist.linux-x86_64/wheel/timm/data/parsers | |
copying build/lib/timm/data/parsers/parser_tfds.py -> build/bdist.linux-x86_64/wheel/timm/data/parsers | |
copying build/lib/timm/data/parsers/img_extensions.py -> build/bdist.linux-x86_64/wheel/timm/data/parsers | |
copying build/lib/timm/data/parsers/parser.py -> build/bdist.linux-x86_64/wheel/timm/data/parsers | |
copying build/lib/timm/data/parsers/parser_image_in_tar.py -> build/bdist.linux-x86_64/wheel/timm/data/parsers | |
copying build/lib/timm/data/parsers/parser_image_tar.py -> build/bdist.linux-x86_64/wheel/timm/data/parsers | |
copying build/lib/timm/data/parsers/__init__.py -> build/bdist.linux-x86_64/wheel/timm/data/parsers | |
copying build/lib/timm/data/parsers/parser_image_folder.py -> build/bdist.linux-x86_64/wheel/timm/data/parsers | |
copying build/lib/timm/data/parsers/class_map.py -> build/bdist.linux-x86_64/wheel/timm/data/parsers | |
copying build/lib/timm/data/parsers/parser_factory.py -> build/bdist.linux-x86_64/wheel/timm/data/parsers | |
copying build/lib/timm/data/dataset_factory.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/distributed_sampler.py -> build/bdist.linux-x86_64/wheel/timm/data | |
copying build/lib/timm/data/dataset.py -> build/bdist.linux-x86_64/wheel/timm/data | |
running install_egg_info | |
Copying timm.egg-info to build/bdist.linux-x86_64/wheel/timm-0.6.12-py3.10.egg-info | |
running install_scripts | |
creating build/bdist.linux-x86_64/wheel/timm-0.6.12.dist-info/WHEEL | |
creating 'dist/timm-0.6.12-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it | |
adding 'timm/__init__.py' | |
adding 'timm/version.py' | |
adding 'timm/data/__init__.py' | |
adding 'timm/data/auto_augment.py' | |
adding 'timm/data/config.py' | |
adding 'timm/data/constants.py' | |
adding 'timm/data/dataset.py' | |
adding 'timm/data/dataset_factory.py' | |
adding 'timm/data/distributed_sampler.py' | |
adding 'timm/data/loader.py' | |
adding 'timm/data/mixup.py' | |
adding 'timm/data/random_erasing.py' | |
adding 'timm/data/real_labels.py' | |
adding 'timm/data/tf_preprocessing.py' | |
adding 'timm/data/transforms.py' | |
adding 'timm/data/transforms_factory.py' | |
adding 'timm/data/parsers/__init__.py' | |
adding 'timm/data/parsers/class_map.py' | |
adding 'timm/data/parsers/img_extensions.py' | |
adding 'timm/data/parsers/parser.py' | |
adding 'timm/data/parsers/parser_factory.py' | |
adding 'timm/data/parsers/parser_image_folder.py' | |
adding 'timm/data/parsers/parser_image_in_tar.py' | |
adding 'timm/data/parsers/parser_image_tar.py' | |
adding 'timm/data/parsers/parser_tfds.py' | |
adding 'timm/loss/__init__.py' | |
adding 'timm/loss/asymmetric_loss.py' | |
adding 'timm/loss/binary_cross_entropy.py' | |
adding 'timm/loss/cross_entropy.py' | |
adding 'timm/loss/jsd.py' | |
adding 'timm/models/__init__.py' | |
adding 'timm/models/beit.py' | |
adding 'timm/models/byoanet.py' | |
adding 'timm/models/byobnet.py' | |
adding 'timm/models/cait.py' | |
adding 'timm/models/coat.py' | |
adding 'timm/models/convit.py' | |
adding 'timm/models/convmixer.py' | |
adding 'timm/models/convnext.py' | |
adding 'timm/models/crossvit.py' | |
adding 'timm/models/cspnet.py' | |
adding 'timm/models/deit.py' | |
adding 'timm/models/densenet.py' | |
adding 'timm/models/dla.py' | |
adding 'timm/models/dpn.py' | |
adding 'timm/models/edgenext.py' | |
adding 'timm/models/efficientformer.py' | |
adding 'timm/models/efficientnet.py' | |
adding 'timm/models/efficientnet_blocks.py' | |
adding 'timm/models/efficientnet_builder.py' | |
adding 'timm/models/factory.py' | |
adding 'timm/models/features.py' | |
adding 'timm/models/fx_features.py' | |
adding 'timm/models/gcvit.py' | |
adding 'timm/models/ghostnet.py' | |
adding 'timm/models/gluon_resnet.py' | |
adding 'timm/models/gluon_xception.py' | |
adding 'timm/models/hardcorenas.py' | |
adding 'timm/models/helpers.py' | |
adding 'timm/models/hrnet.py' | |
adding 'timm/models/hub.py' | |
adding 'timm/models/inception_resnet_v2.py' | |
adding 'timm/models/inception_v3.py' | |
adding 'timm/models/inception_v4.py' | |
adding 'timm/models/levit.py' | |
adding 'timm/models/maxxvit.py' | |
adding 'timm/models/mlp_mixer.py' | |
adding 'timm/models/mobilenetv3.py' | |
adding 'timm/models/mobilevit.py' | |
adding 'timm/models/mvitv2.py' | |
adding 'timm/models/nasnet.py' | |
adding 'timm/models/nest.py' | |
adding 'timm/models/nfnet.py' | |
adding 'timm/models/pit.py' | |
adding 'timm/models/pnasnet.py' | |
adding 'timm/models/poolformer.py' | |
adding 'timm/models/pvt_v2.py' | |
adding 'timm/models/registry.py' | |
adding 'timm/models/regnet.py' | |
adding 'timm/models/res2net.py' | |
adding 'timm/models/resnest.py' | |
adding 'timm/models/resnet.py' | |
adding 'timm/models/resnetv2.py' | |
adding 'timm/models/rexnet.py' | |
adding 'timm/models/selecsls.py' | |
adding 'timm/models/senet.py' | |
adding 'timm/models/sequencer.py' | |
adding 'timm/models/sknet.py' | |
adding 'timm/models/swin_transformer.py' | |
adding 'timm/models/swin_transformer_v2.py' | |
adding 'timm/models/swin_transformer_v2_cr.py' | |
adding 'timm/models/tnt.py' | |
adding 'timm/models/tresnet.py' | |
adding 'timm/models/twins.py' | |
adding 'timm/models/vgg.py' | |
adding 'timm/models/visformer.py' | |
adding 'timm/models/vision_transformer.py' | |
adding 'timm/models/vision_transformer_hybrid.py' | |
adding 'timm/models/vision_transformer_relpos.py' | |
adding 'timm/models/volo.py' | |
adding 'timm/models/vovnet.py' | |
adding 'timm/models/xception.py' | |
adding 'timm/models/xception_aligned.py' | |
adding 'timm/models/xcit.py' | |
adding 'timm/models/layers/__init__.py' | |
adding 'timm/models/layers/activations.py' | |
adding 'timm/models/layers/activations_jit.py' | |
adding 'timm/models/layers/activations_me.py' | |
adding 'timm/models/layers/adaptive_avgmax_pool.py' | |
adding 'timm/models/layers/attention_pool2d.py' | |
adding 'timm/models/layers/blur_pool.py' | |
adding 'timm/models/layers/bottleneck_attn.py' | |
adding 'timm/models/layers/cbam.py' | |
adding 'timm/models/layers/classifier.py' | |
adding 'timm/models/layers/cond_conv2d.py' | |
adding 'timm/models/layers/config.py' | |
adding 'timm/models/layers/conv2d_same.py' | |
adding 'timm/models/layers/conv_bn_act.py' | |
adding 'timm/models/layers/create_act.py' | |
adding 'timm/models/layers/create_attn.py' | |
adding 'timm/models/layers/create_conv2d.py' | |
adding 'timm/models/layers/create_norm.py' | |
adding 'timm/models/layers/create_norm_act.py' | |
adding 'timm/models/layers/drop.py' | |
adding 'timm/models/layers/eca.py' | |
adding 'timm/models/layers/evo_norm.py' | |
adding 'timm/models/layers/fast_norm.py' | |
adding 'timm/models/layers/filter_response_norm.py' | |
adding 'timm/models/layers/gather_excite.py' | |
adding 'timm/models/layers/global_context.py' | |
adding 'timm/models/layers/halo_attn.py' | |
adding 'timm/models/layers/helpers.py' | |
adding 'timm/models/layers/inplace_abn.py' | |
adding 'timm/models/layers/lambda_layer.py' | |
adding 'timm/models/layers/linear.py' | |
adding 'timm/models/layers/median_pool.py' | |
adding 'timm/models/layers/mixed_conv2d.py' | |
adding 'timm/models/layers/ml_decoder.py' | |
adding 'timm/models/layers/mlp.py' | |
adding 'timm/models/layers/non_local_attn.py' | |
adding 'timm/models/layers/norm.py' | |
adding 'timm/models/layers/norm_act.py' | |
adding 'timm/models/layers/padding.py' | |
adding 'timm/models/layers/patch_embed.py' | |
adding 'timm/models/layers/pool2d_same.py' | |
adding 'timm/models/layers/pos_embed.py' | |
adding 'timm/models/layers/selective_kernel.py' | |
adding 'timm/models/layers/separable_conv.py' | |
adding 'timm/models/layers/space_to_depth.py' | |
adding 'timm/models/layers/split_attn.py' | |
adding 'timm/models/layers/split_batchnorm.py' | |
adding 'timm/models/layers/squeeze_excite.py' | |
adding 'timm/models/layers/std_conv.py' | |
adding 'timm/models/layers/test_time_pool.py' | |
adding 'timm/models/layers/trace_utils.py' | |
adding 'timm/models/layers/weight_init.py' | |
adding 'timm/models/pruned/ecaresnet101d_pruned.txt' | |
adding 'timm/models/pruned/ecaresnet50d_pruned.txt' | |
adding 'timm/models/pruned/efficientnet_b1_pruned.txt' | |
adding 'timm/models/pruned/efficientnet_b2_pruned.txt' | |
adding 'timm/models/pruned/efficientnet_b3_pruned.txt' | |
adding 'timm/optim/__init__.py' | |
adding 'timm/optim/adabelief.py' | |
adding 'timm/optim/adafactor.py' | |
adding 'timm/optim/adahessian.py' | |
adding 'timm/optim/adamp.py' | |
adding 'timm/optim/adamw.py' | |
adding 'timm/optim/lamb.py' | |
adding 'timm/optim/lars.py' | |
adding 'timm/optim/lookahead.py' | |
adding 'timm/optim/madgrad.py' | |
adding 'timm/optim/nadam.py' | |
adding 'timm/optim/nvnovograd.py' | |
adding 'timm/optim/optim_factory.py' | |
adding 'timm/optim/radam.py' | |
adding 'timm/optim/rmsprop_tf.py' | |
adding 'timm/optim/sgdp.py' | |
adding 'timm/scheduler/__init__.py' | |
adding 'timm/scheduler/cosine_lr.py' | |
adding 'timm/scheduler/multistep_lr.py' | |
adding 'timm/scheduler/plateau_lr.py' | |
adding 'timm/scheduler/poly_lr.py' | |
adding 'timm/scheduler/scheduler.py' | |
adding 'timm/scheduler/scheduler_factory.py' | |
adding 'timm/scheduler/step_lr.py' | |
adding 'timm/scheduler/tanh_lr.py' | |
adding 'timm/utils/__init__.py' | |
adding 'timm/utils/agc.py' | |
adding 'timm/utils/checkpoint_saver.py' | |
adding 'timm/utils/clip_grad.py' | |
adding 'timm/utils/cuda.py' | |
adding 'timm/utils/decay_batch.py' | |
adding 'timm/utils/distributed.py' | |
adding 'timm/utils/jit.py' | |
adding 'timm/utils/log.py' | |
adding 'timm/utils/metrics.py' | |
adding 'timm/utils/misc.py' | |
adding 'timm/utils/model.py' | |
adding 'timm/utils/model_ema.py' | |
adding 'timm/utils/random.py' | |
adding 'timm/utils/summary.py' | |
adding 'timm-0.6.12.dist-info/LICENSE' | |
adding 'timm-0.6.12.dist-info/METADATA' | |
adding 'timm-0.6.12.dist-info/WHEEL' | |
adding 'timm-0.6.12.dist-info/top_level.txt' | |
adding 'timm-0.6.12.dist-info/RECORD' | |
removing build/bdist.linux-x86_64/wheel | |
Finished executing setuptoolsBuildPhase | |
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installing | |
Executing pipInstallPhase | |
/build/source/dist /build/source | |
Processing ./timm-0.6.12-py3-none-any.whl | |
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Installing collected packages: timm | |
Successfully installed timm-0.6.12 | |
/build/source | |
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post-installation fixup | |
shrinking RPATHs of ELF executables and libraries in /nix/store/6fvvirw7jvi5a24f008jx54wgl1vy0c2-python3.10-timm-0.6.12 | |
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[1m============================= test session starts ==============================[0m | |
platform linux -- Python 3.10.10, pytest-7.2.1, pluggy-1.0.0 | |
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[1mcollecting ... [0m[1m collecting 5 items [0m[1m collecting 5 items [0m[1m collected 35 items [0m | |
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tests/test_optim.py [32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[32m.[0m[31mF[0m[31mF[0m[31mF[0m[31mF[0m[31mF[0m[31m [ 97%][0m | |
tests/test_utils.py [32m.[0m[31m [100%][0m | |
=================================== FAILURES =================================== | |
[31m[1m______________________ test_lookahead_sgd[lookahead_sgd] _______________________[0m | |
optimizer = 'lookahead_sgd' | |
@pytest.mark.parametrize('optimizer', ['lookahead_sgd', 'lookahead_momentum']) | |
def test_lookahead_sgd(optimizer): | |
> _test_basic_cases( | |
lambda weight, bias: create_optimizer_v2([weight, bias], optimizer, lr=1e-3) | |
) | |
[1m[31mtests/test_optim.py[0m:659: | |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
[1m[31mtests/test_optim.py[0m:135: in _test_basic_cases | |
_test_state_dict( | |
[1m[31mtests/test_optim.py[0m:74: in _test_state_dict | |
optimizer.step(fn) | |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
args = (Lookahead ( | |
Parameter Group 0 | |
dampening: 0 | |
differentiable: False | |
foreach: None | |
lookahead_alpha: 0.5 | |
...1.3340, 0.4869, -0.4323, 1.5660, -1.0208, 0.2807, -1.0861, 0.2431, | |
-0.5887, 0.2804], requires_grad=True))) | |
kwargs = {} | |
self = Lookahead ( | |
Parameter Group 0 | |
dampening: 0 | |
differentiable: False | |
foreach: None | |
lookahead_alpha: 0.5 | |
... 6 | |
lookahead_step: 1 | |
lr: 0.001 | |
maximize: False | |
momentum: 0.9 | |
nesterov: True | |
weight_decay: 0.0 | |
) | |
_ = [functools.partial(<function _test_state_dict.<locals>.fn_base at 0x7ffe5cbd1480>, Lookahead ( | |
Parameter Group 0 | |
d...1.3340, 0.4869, -0.4323, 1.5660, -1.0208, 0.2807, -1.0861, 0.2431, | |
-0.5887, 0.2804], requires_grad=True))] | |
profile_name = 'Optimizer.step#Lookahead.step' | |
@functools.wraps(func) | |
def wrapper(*args, **kwargs): | |
self, *_ = args | |
profile_name = "Optimizer.step#{}.step".format(self.__class__.__name__) | |
with torch.autograd.profiler.record_function(profile_name): | |
# call optimizer step pre hooks | |
> for pre_hook in chain(_global_optimizer_pre_hooks.values(), self._optimizer_step_pre_hooks.values()): | |
[1m[31mE AttributeError: 'Lookahead' object has no attribute '_optimizer_step_pre_hooks'. Did you mean: '_optimizer_step_code'?[0m | |
[1m[31m/nix/store/c5arb29cgd8gx6fbaq6zvay1y8k0094d-python3.10-torch-2.0.0/lib/python3.10/site-packages/torch/optim/optimizer.py[0m:271: AttributeError | |
[31m[1m____________________ test_lookahead_sgd[lookahead_momentum] ____________________[0m | |
optimizer = 'lookahead_momentum' | |
@pytest.mark.parametrize('optimizer', ['lookahead_sgd', 'lookahead_momentum']) | |
def test_lookahead_sgd(optimizer): | |
> _test_basic_cases( | |
lambda weight, bias: create_optimizer_v2([weight, bias], optimizer, lr=1e-3) | |
) | |
[1m[31mtests/test_optim.py[0m:659: | |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
[1m[31mtests/test_optim.py[0m:135: in _test_basic_cases | |
_test_state_dict( | |
[1m[31mtests/test_optim.py[0m:74: in _test_state_dict | |
optimizer.step(fn) | |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
args = (Lookahead ( | |
Parameter Group 0 | |
dampening: 0 | |
differentiable: False | |
foreach: None | |
lookahead_alpha: 0.5 | |
...0.9960, -0.4948, 1.7298, -0.0700, 1.7250, 1.8769, 0.4264, 1.5933, | |
-0.4777, 1.4535], requires_grad=True))) | |
kwargs = {} | |
self = Lookahead ( | |
Parameter Group 0 | |
dampening: 0 | |
differentiable: False | |
foreach: None | |
lookahead_alpha: 0.5 | |
...6 | |
lookahead_step: 0 | |
lr: 0.001 | |
maximize: False | |
momentum: 0.9 | |
nesterov: False | |
weight_decay: 0.0 | |
) | |
_ = [functools.partial(<function _test_state_dict.<locals>.fn_base at 0x7ffe5ca70550>, Lookahead ( | |
Parameter Group 0 | |
d...0.9960, -0.4948, 1.7298, -0.0700, 1.7250, 1.8769, 0.4264, 1.5933, | |
-0.4777, 1.4535], requires_grad=True))] | |
profile_name = 'Optimizer.step#Lookahead.step' | |
@functools.wraps(func) | |
def wrapper(*args, **kwargs): | |
self, *_ = args | |
profile_name = "Optimizer.step#{}.step".format(self.__class__.__name__) | |
with torch.autograd.profiler.record_function(profile_name): | |
# call optimizer step pre hooks | |
> for pre_hook in chain(_global_optimizer_pre_hooks.values(), self._optimizer_step_pre_hooks.values()): | |
[1m[31mE AttributeError: 'Lookahead' object has no attribute '_optimizer_step_pre_hooks'. Did you mean: '_optimizer_step_code'?[0m | |
[1m[31m/nix/store/c5arb29cgd8gx6fbaq6zvay1y8k0094d-python3.10-torch-2.0.0/lib/python3.10/site-packages/torch/optim/optimizer.py[0m:271: AttributeError | |
[31m[1m_____________________ test_lookahead_adam[lookahead_adamw] _____________________[0m | |
optimizer = 'lookahead_adamw' | |
@pytest.mark.parametrize('optimizer', ['lookahead_adamw', 'lookahead_adam']) | |
def test_lookahead_adam(optimizer): | |
> _test_basic_cases( | |
lambda weight, bias: create_optimizer_v2([weight, bias], optimizer, lr=1e-3) | |
) | |
[1m[31mtests/test_optim.py[0m:685: | |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
[1m[31mtests/test_optim.py[0m:135: in _test_basic_cases | |
_test_state_dict( | |
[1m[31mtests/test_optim.py[0m:74: in _test_state_dict | |
optimizer.step(fn) | |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
args = (Lookahead ( | |
Parameter Group 0 | |
amsgrad: False | |
betas: (0.9, 0.999) | |
capturable: False | |
differentiable: Fa...0.4370, -1.4777, -0.2563, -0.8009, 1.1551, 0.5540, -0.4006, 0.1866, | |
0.0307, 0.6676], requires_grad=True))) | |
kwargs = {} | |
self = Lookahead ( | |
Parameter Group 0 | |
amsgrad: False | |
betas: (0.9, 0.999) | |
capturable: False | |
differentiable: Fal...lookahead_alpha: 0.5 | |
lookahead_k: 6 | |
lookahead_step: 0 | |
lr: 0.001 | |
maximize: False | |
weight_decay: 0.0 | |
) | |
_ = [functools.partial(<function _test_state_dict.<locals>.fn_base at 0x7ffe5ca73f40>, Lookahead ( | |
Parameter Group 0 | |
a...0.4370, -1.4777, -0.2563, -0.8009, 1.1551, 0.5540, -0.4006, 0.1866, | |
0.0307, 0.6676], requires_grad=True))] | |
profile_name = 'Optimizer.step#Lookahead.step' | |
@functools.wraps(func) | |
def wrapper(*args, **kwargs): | |
self, *_ = args | |
profile_name = "Optimizer.step#{}.step".format(self.__class__.__name__) | |
with torch.autograd.profiler.record_function(profile_name): | |
# call optimizer step pre hooks | |
> for pre_hook in chain(_global_optimizer_pre_hooks.values(), self._optimizer_step_pre_hooks.values()): | |
[1m[31mE AttributeError: 'Lookahead' object has no attribute '_optimizer_step_pre_hooks'. Did you mean: '_optimizer_step_code'?[0m | |
[1m[31m/nix/store/c5arb29cgd8gx6fbaq6zvay1y8k0094d-python3.10-torch-2.0.0/lib/python3.10/site-packages/torch/optim/optimizer.py[0m:271: AttributeError | |
[31m[1m_____________________ test_lookahead_adam[lookahead_adam] ______________________[0m | |
optimizer = 'lookahead_adam' | |
@pytest.mark.parametrize('optimizer', ['lookahead_adamw', 'lookahead_adam']) | |
def test_lookahead_adam(optimizer): | |
> _test_basic_cases( | |
lambda weight, bias: create_optimizer_v2([weight, bias], optimizer, lr=1e-3) | |
) | |
[1m[31mtests/test_optim.py[0m:685: | |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
[1m[31mtests/test_optim.py[0m:135: in _test_basic_cases | |
_test_state_dict( | |
[1m[31mtests/test_optim.py[0m:74: in _test_state_dict | |
optimizer.step(fn) | |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
args = (Lookahead ( | |
Parameter Group 0 | |
amsgrad: False | |
betas: (0.9, 0.999) | |
capturable: False | |
differentiable: Fa...0.6978, -0.2307, -0.0712, -1.7125, 0.8145, -0.8798, 1.2006, -1.6716, | |
0.1371, -0.0371], requires_grad=True))) | |
kwargs = {} | |
self = Lookahead ( | |
Parameter Group 0 | |
amsgrad: False | |
betas: (0.9, 0.999) | |
capturable: False | |
differentiable: Fal...lookahead_alpha: 0.5 | |
lookahead_k: 6 | |
lookahead_step: 0 | |
lr: 0.001 | |
maximize: False | |
weight_decay: 0.0 | |
) | |
_ = [functools.partial(<function _test_state_dict.<locals>.fn_base at 0x7ffe5ca77640>, Lookahead ( | |
Parameter Group 0 | |
a...0.6978, -0.2307, -0.0712, -1.7125, 0.8145, -0.8798, 1.2006, -1.6716, | |
0.1371, -0.0371], requires_grad=True))] | |
profile_name = 'Optimizer.step#Lookahead.step' | |
@functools.wraps(func) | |
def wrapper(*args, **kwargs): | |
self, *_ = args | |
profile_name = "Optimizer.step#{}.step".format(self.__class__.__name__) | |
with torch.autograd.profiler.record_function(profile_name): | |
# call optimizer step pre hooks | |
> for pre_hook in chain(_global_optimizer_pre_hooks.values(), self._optimizer_step_pre_hooks.values()): | |
[1m[31mE AttributeError: 'Lookahead' object has no attribute '_optimizer_step_pre_hooks'. Did you mean: '_optimizer_step_code'?[0m | |
[1m[31m/nix/store/c5arb29cgd8gx6fbaq6zvay1y8k0094d-python3.10-torch-2.0.0/lib/python3.10/site-packages/torch/optim/optimizer.py[0m:271: AttributeError | |
[31m[1m____________________ test_lookahead_radam[lookahead_radam] _____________________[0m | |
optimizer = 'lookahead_radam' | |
@pytest.mark.parametrize('optimizer', ['lookahead_radam']) | |
def test_lookahead_radam(optimizer): | |
> _test_basic_cases( | |
lambda weight, bias: create_optimizer_v2([weight, bias], optimizer, lr=1e-3) | |
) | |
[1m[31mtests/test_optim.py[0m:711: | |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
[1m[31mtests/test_optim.py[0m:135: in _test_basic_cases | |
_test_state_dict( | |
[1m[31mtests/test_optim.py[0m:74: in _test_state_dict | |
optimizer.step(fn) | |
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | |
args = (Lookahead ( | |
Parameter Group 0 | |
betas: (0.9, 0.999) | |
buffer: [[None, None, None], [None, None, None], [None, Non...0.0503, -2.9550, 1.7767, 1.3559, -1.2115, -0.3332, -0.8429, 0.3892, | |
0.4611, 1.4306], requires_grad=True))) | |
kwargs = {} | |
self = Lookahead ( | |
Parameter Group 0 | |
betas: (0.9, 0.999) | |
buffer: [[None, None, None], [None, None, None], [None, None... | |
eps: 1e-08 | |
lookahead_alpha: 0.5 | |
lookahead_k: 6 | |
lookahead_step: 0 | |
lr: 0.001 | |
weight_decay: 0.0 | |
) | |
_ = [functools.partial(<function _test_state_dict.<locals>.fn_base at 0x7ffe5ca76f80>, Lookahead ( | |
Parameter Group 0 | |
b...0.0503, -2.9550, 1.7767, 1.3559, -1.2115, -0.3332, -0.8429, 0.3892, | |
0.4611, 1.4306], requires_grad=True))] | |
profile_name = 'Optimizer.step#Lookahead.step' | |
@functools.wraps(func) | |
def wrapper(*args, **kwargs): | |
self, *_ = args | |
profile_name = "Optimizer.step#{}.step".format(self.__class__.__name__) | |
with torch.autograd.profiler.record_function(profile_name): | |
# call optimizer step pre hooks | |
> for pre_hook in chain(_global_optimizer_pre_hooks.values(), self._optimizer_step_pre_hooks.values()): | |
[1m[31mE AttributeError: 'Lookahead' object has no attribute '_optimizer_step_pre_hooks'. Did you mean: '_optimizer_step_code'?[0m | |
[1m[31m/nix/store/c5arb29cgd8gx6fbaq6zvay1y8k0094d-python3.10-torch-2.0.0/lib/python3.10/site-packages/torch/optim/optimizer.py[0m:271: AttributeError | |
[36m[1m=========================== short test summary info ============================[0m | |
[31mFAILED[0m tests/test_optim.py::[1mtest_lookahead_sgd[lookahead_sgd][0m - AttributeError: 'Lookahead' object has no attribute '_optimizer_step_pre_ho... | |
[31mFAILED[0m tests/test_optim.py::[1mtest_lookahead_sgd[lookahead_momentum][0m - AttributeError: 'Lookahead' object has no attribute '_optimizer_step_pre_ho... | |
[31mFAILED[0m tests/test_optim.py::[1mtest_lookahead_adam[lookahead_adamw][0m - AttributeError: 'Lookahead' object has no attribute '_optimizer_step_pre_ho... | |
[31mFAILED[0m tests/test_optim.py::[1mtest_lookahead_adam[lookahead_adam][0m - AttributeError: 'Lookahead' object has no attribute '_optimizer_step_pre_ho... | |
[31mFAILED[0m tests/test_optim.py::[1mtest_lookahead_radam[lookahead_radam][0m - AttributeError: 'Lookahead' object has no attribute '_optimizer_step_pre_ho... | |
[31m================== [31m[1m5 failed[0m, [32m30 passed[0m[31m in 4677.69s (1:17:57)[0m[31m ===================[0m | |
/nix/store/pw17yc3mwmsci4jygwalj8ppg0drz31v-stdenv-linux/setup: line 1593: pop_var_context: head of shell_variables not a function context |
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