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Deci-AI
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super-gradients
connected to https://github.com/Deci-AI/super-gradients.git

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#809 fixed yaml name

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Ghost merged 1 commits into Deci-AI:master from deci-ai:bug/SG-000_bugfix_recipe_pose_estimation
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super-gradients
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config.yml
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@@ -413,7 +413,7 @@ jobs:
 
             python3.8 -m pip install -r requirements.txt
 
             python3.8 -m pip install -r requirements.txt
 
             python3.8 -m pip install .
 
             python3.8 -m pip install .
 
             python3.8 -m pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu116
 
             python3.8 -m pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu116
 
-            python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=coco2017_pose_dekr_w32 experiment_name=shortened_coco2017_pose_dekr_w32_ap_test dataset_params.train_dataloader_params.batch_size=4 dataset_params.val_dataloader_params.batch_size=8 training_hyperparams.max_epochs=1 training_hyperparams.lr_warmup_steps=0 training_hyperparams.average_best_models=False training_hyperparams.max_train_batches=1000 training_hyperparams.max_valid_batches=10
 
+            python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=coco2017_pose_dekr_w32_no_dc experiment_name=shortened_coco2017_pose_dekr_w32_ap_test dataset_params.train_dataloader_params.batch_size=4 dataset_params.val_dataloader_params.batch_size=8 training_hyperparams.max_epochs=1 training_hyperparams.lr_warmup_steps=0 training_hyperparams.average_best_models=False training_hyperparams.max_train_batches=1000 training_hyperparams.max_valid_batc
 
             python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=cifar10_resnet experiment_name=shortened_cifar10_resnet_accuracy_test training_hyperparams.max_epochs=100 training_hyperparams.average_best_models=False multi_gpu=DDP num_gpus=4
 
             python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=cifar10_resnet experiment_name=shortened_cifar10_resnet_accuracy_test training_hyperparams.max_epochs=100 training_hyperparams.average_best_models=False multi_gpu=DDP num_gpus=4
 
             python3.8 src/super_gradients/examples/convert_recipe_example/convert_recipe_example.py --config-name=cifar10_conversion_params experiment_name=shortened_cifar10_resnet_accuracy_test
 
             python3.8 src/super_gradients/examples/convert_recipe_example/convert_recipe_example.py --config-name=cifar10_conversion_params experiment_name=shortened_cifar10_resnet_accuracy_test
 
             python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=coco2017_yolox experiment_name=shortened_coco2017_yolox_n_map_test architecture=yolox_n training_hyperparams.loss=yolox_fast_loss training_hyperparams.max_epochs=10 training_hyperparams.average_best_models=False multi_gpu=DDP num_gpus=4
 
             python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=coco2017_yolox experiment_name=shortened_coco2017_yolox_n_map_test architecture=yolox_n training_hyperparams.loss=yolox_fast_loss training_hyperparams.max_epochs=10 training_hyperparams.average_best_models=False multi_gpu=DDP num_gpus=4
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