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74 Commits (72cfa577614c5f6cbb23d7f9cec851ea3ed96d4e)

Author SHA1 Message Date
Ross Wightman dbe7531aa3 Update scripts to support torch.compile(). Make --results_file arg more consistent across benchmark/validate/inference. Fix #1570
2 years ago
Ross Wightman 9da7e3a799 Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
2 years ago
Ross Wightman eb333d6641 Update validate.py to use updated amp args for impl/dtype
2 years ago
Ross Wightman 87939e6fab Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed.
2 years ago
Ross Wightman ff6a919cf5 Add --fast-norm arg to benchmark.py, train.py, validate.py
2 years ago
Ross Wightman 56596e4e84 jit trace comparisons snuck into torchscript part of validate.py, fixed
2 years ago
Ross Wightman 0dbd9352ce Add bulk_runner script and updates to benchmark.py and validate.py for better error handling in bulk runs (used for benchmark and validation result runs). Improved batch size decay stepping on retry...
2 years ago
Ross Wightman 7c7ecd2492 Add --use-train-size flag to force use of train input_size (over test input size) for validation. Default test-time pooling to use train input size (fixes issues).
2 years ago
Ross Wightman 500c190860 Add --aot-autograd (functorch efficient mem fusion) support to validate.py
2 years ago
Yonghye Kwon 57f8361a01
fix a function parameter typo(cropt_pct -> crop_pct)
3 years ago
Ross Wightman 95cfc9b3e8 Merge remote-tracking branch 'origin/master' into norm_norm_norm
3 years ago
Ross Wightman abc9ba2544 Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks.
3 years ago
Ross Wightman cf4334391e Update benchmark and validate scripts to output results in JSON with a fixed delimiter for use in multi-process launcher
3 years ago
Ross Wightman f0f9eccda8 Add --fuser arg to train/validate/benchmark scripts to select jit fuser type
3 years ago
Ross Wightman b669f4a588 Add ConvNeXt 22k->1k fine-tuned and 384 22k-1k fine-tuned weights after testing
3 years ago
Ross Wightman ba65dfe2c6 Dataset work
3 years ago
Ross Wightman e0b3a3fab3 Make test-pooling flag for validate.py opt in
3 years ago
Ross Wightman 5d6983c462 Batch validate a list of files if model is a text file with model per line
3 years ago
Ross Wightman a04427d8ce Add _in22k to bulk validate filter
4 years ago
Ross Wightman a5310a3451 Merge remote-tracking branch 'origin/benchmark-fixes-vit_hybrids' into pit_and_vit_update
4 years ago
Ross Wightman d584e7f617 Support for huggingface hub via create_model and default_cfgs.
4 years ago
Ross Wightman 2db2d87ff7 Add epoch-repeats arg to multiply the number of dataset passes per epoch. Currently for iterable datasets (read TFDS wrapper) only.
4 years ago
Ross Wightman d8e69206be
Merge pull request #419 from rwightman/byob_vgg_models
4 years ago
Ross Wightman 0356e773f5 Default to native PyTorch AMP instead of APEX amp. Too many APEX issues cropping up lately.
4 years ago
Ross Wightman b4e216e377 Fix a few small things.
4 years ago
Csaba Kertesz 5114c214fc Change the Python interpreter to Python 3.x in the scripts
4 years ago
Ross Wightman 2a8c4dc63b Add validation script update for using test_input_size in model default_cfgs
4 years ago
Ross Wightman 38d8f67570 Fix potential issue with change to num_classes arg in train/validate.py defaulting to None (rely on model def / default_cfg)
4 years ago
Ross Wightman 855d6cc217 More dataset work including factories and a tensorflow datasets (TFDS) wrapper
4 years ago
Ross Wightman 59ec7e6a53 Merge branch 'master' into imagenet21k_datasets_more
4 years ago
Csaba Kertesz e42b140ade Add --input-size option to scripts to specify full input dimensions from command-line
4 years ago
Ross Wightman ce69de70d3 Add 21k weight urls to vision_transformer. Cleanup feature_info for preact ResNetV2 (BiT) models
4 years ago
Ross Wightman de6046e213 Initial commit for dataset / parser reorg to support additional datasets / types
4 years ago
Matthijs Hollemans 8ffdc5910a test_time_pool would be set to a non-False value even if test-time pooling is not available
4 years ago
Ross Wightman e8ca45854c More models in sotabench, more control over sotabench run, dataset filename extraction consistency
4 years ago
Ross Wightman 751b0bba98 Add global_pool (--gp) arg changes to allow passing 'fast' easily for train/validate to avoid channels_last issue with AdaptiveAvgPool
4 years ago
Ross Wightman 9c297ec67d Cleanup Apex vs native AMP scaler state save/load. Cleanup CheckpointSaver a bit.
4 years ago
Ross Wightman c2cd1a332e Improve torch amp support and add channels_last support for train/validate scripts
4 years ago
Ross Wightman ad150e7018 Update results csv file rank/diff script and small validate script tweak for batch validation
4 years ago
Ross Wightman ecdeb470f2 Cleanup real labels in validate.py, no need to track original, will do that via exteran script
4 years ago
Ross Wightman c53ec33ae0 Add synset/label indices for results generation. Add 'valid labels' to validation script to support imagenet-a/r label subsets properly.
4 years ago
Ross Wightman 7995295968 Merge branch 'logger' into features. Change 'logger' to '_logger'.
4 years ago
Ross Wightman 1998bd3180 Merge branch 'feature/AB/logger' of https://github.com/antoinebrl/pytorch-image-models into logger
4 years ago
Ross Wightman 6c17d57a2c Fix some attributions, add copyrights to some file docstrings
4 years ago
Ross Wightman 4e61c6a12d Cleanup, refactoring of Feature extraction code, add tests, fix tests, non hook feature extraction working with torchscript
4 years ago
Ross Wightman d23a2697d0 Working on feature extraction, interfaces refined, a number of models working, some in progress.
4 years ago
Ross Wightman d3ee3de96a Update validation script first batch prime and clear cuda cache between multi-model runs
4 years ago
Antoine Broyelle 78fa0772cc Leverage python hierachical logger
4 years ago
Ross Wightman 88129b2569 Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.
5 years ago
Ross Wightman eb7653614f Monster commit, activation refactor, VoVNet, norm_act improvements, more
5 years ago