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updated __version__ (#1943)
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* updated __version__

* updated notebook versions
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shaydeci committed Apr 1, 2024
1 parent 11326d9 commit e8f6cbb
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Showing 19 changed files with 4,358 additions and 4,358 deletions.
2,708 changes: 1,354 additions & 1,354 deletions notebooks/DEKR_PoseEstimationFineTuning.ipynb

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2 changes: 1 addition & 1 deletion notebooks/PTQ_and_QAT_for_classification.ipynb
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},
"outputs": [],
"source": [
"!pip -qq install super-gradients==3.6.1 pytorch-quantization==2.1.2 --extra-index-url https://pypi.ngc.nvidia.com"
"!pip -qq install super-gradients==3.7.0 pytorch-quantization==2.1.2 --extra-index-url https://pypi.ngc.nvidia.com"
]
},
{
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2 changes: 1 addition & 1 deletion notebooks/Segmentation_Model_Export.ipynb
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"execution_count": 30,
"outputs": [],
"source": [
"!pip install -qq super_gradients==3.6.0"
"!pip install -qq super_gradients==3.7.0"
],
"metadata": {
"colab": {
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2 changes: 1 addition & 1 deletion notebooks/YoloNAS_Inference_using_TensorRT.ipynb
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"# This hack is to prevent occasional issue in Colab https://github.com/googlecolab/colabtools/issues/3409\n",
"locale.getpreferredencoding = lambda *args: \"UTF-8\"\n",
"\n",
"!pip install -qq super-gradients==3.6.1\n",
"!pip install -qq super-gradients==3.7.0\n",
"!pip install -qq tensorrt~=8.6 pycuda pytorch-quantization==2.1.2 --extra-index-url https://pypi.ngc.nvidia.com"
],
"metadata": {
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},
"outputs": [],
"source": [
"!pip install -qq super-gradients==3.6.1 gdown"
"!pip install -qq super-gradients==3.7.0 gdown"
]
},
{
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2 changes: 1 addition & 1 deletion notebooks/albumentations_tutorial.ipynb
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}
],
"source": [
"! pip install -qq super-gradients==3.6.1\n",
"! pip install -qq super-gradients==3.7.0\n",
"! pip install -qq albumentations == 1.3.1\n",
"! pip install -qq datasets[vision]~=2.1 pandas~=2.0"
]
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2,114 changes: 1,057 additions & 1,057 deletions notebooks/dataloader_adapter.ipynb

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2 changes: 1 addition & 1 deletion notebooks/detection_how_to_connect_custom_dataset.ipynb
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},
"outputs": [],
"source": [
"! pip install -q super_gradients==3.6.1"
"! pip install -q super_gradients==3.7.0"
]
},
{
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2,834 changes: 1,417 additions & 1,417 deletions notebooks/detection_transfer_learning.ipynb

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1,030 changes: 515 additions & 515 deletions notebooks/how_to_run_model_predict.ipynb

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},
"outputs": [],
"source": [
"!pip install -qq super_gradients==3.6.1"
"!pip install -qq super_gradients==3.7.0"
]
},
{
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2 changes: 1 addition & 1 deletion notebooks/quickstart_segmentation.ipynb
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},
"outputs": [],
"source": [
"! pip install -qq super-gradients==3.6.1"
"! pip install -qq super-gradients==3.7.0"
]
},
{
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2 changes: 1 addition & 1 deletion notebooks/segmentation_connect_custom_dataset.ipynb
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}
],
"source": [
"! pip install -qq super-gradients==3.6.1"
"! pip install -qq super-gradients==3.7.0"
]
},
{
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2 changes: 1 addition & 1 deletion notebooks/transfer_learning_classification.ipynb
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}
],
"source": [
"! pip install -qq super-gradients==3.6.1"
"! pip install -qq super-gradients==3.7.0"
]
},
{
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2 changes: 1 addition & 1 deletion notebooks/transfer_learning_semantic_segmentation.ipynb
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},
"outputs": [],
"source": [
"! pip install -qq super-gradients==3.6.1"
"! pip install -qq super-gradients==3.7.0"
]
},
{
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2 changes: 1 addition & 1 deletion notebooks/what_are_recipes_and_how_to_use.ipynb
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{
"cell_type": "code",
"source": [
"!pip install -q super-gradients==3.6.1"
"!pip install -q super-gradients==3.7.0"
],
"metadata": {
"id": "8uZM-4va5Rpu",
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{
"cell_type": "code",
"source": [
"!pip install -qq super-gradients==3.6.1 datasets[vision]~=2.1 pandas~=2.0"
"!pip install -qq super-gradients==3.7.0 datasets[vision]~=2.1 pandas~=2.0"
],
"metadata": {
"collapsed": false,
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2 changes: 1 addition & 1 deletion notebooks/yolo_nas_pose_eval_with_pycocotools.ipynb
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"execution_count": null,
"outputs": [],
"source": [
"!pip install -qq super_gradients==3.6.1"
"!pip install -qq super_gradients==3.7.0"
],
"metadata": {
"collapsed": false
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2 changes: 1 addition & 1 deletion src/super_gradients/__init__.py
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@@ -1,4 +1,4 @@
__version__ = "3.6.1"
__version__ = "3.7.0"

from super_gradients.common import init_trainer, is_distributed, object_names
from super_gradients.training import losses, utils, datasets_utils, DataAugmentation, Trainer, KDTrainer, QATTrainer
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