updated __version__

notebooks/PTQ_and_QAT_for_classification.ipynb

@@ -63,7 +63,7 @@
    },
    "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"
    ]
   },
   {

notebooks/Segmentation_Model_Export.ipynb

@@ -52,7 +52,7 @@
    "execution_count": 30,
    "outputs": [],
    "source": [
-    "!pip install -qq super_gradients==3.6.0"
+    "!pip install -qq super_gradients==3.7.0"
    ],
    "metadata": {
     "colab": {

notebooks/YoloNAS_Inference_using_TensorRT.ipynb

@@ -149,7 +149,7 @@
     "# 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": {

notebooks/YoloNAS_Pose_Fine_Tuning_Animals_Pose_Dataset.ipynb

@@ -57,7 +57,7 @@
    },
    "outputs": [],
    "source": [
-    "!pip install -qq super-gradients==3.6.1 gdown"
+    "!pip install -qq super-gradients==3.7.0 gdown"
    ]
   },
   {

notebooks/albumentations_tutorial.ipynb

@@ -145,7 +145,7 @@
     }
    ],
    "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"
    ]

notebooks/detection_how_to_connect_custom_dataset.ipynb

@@ -90,7 +90,7 @@
    },
    "outputs": [],
    "source": [
-    "! pip install -q super_gradients==3.6.1"
+    "! pip install -q super_gradients==3.7.0"
    ]
   },
   {

notebooks/how_to_use_knowledge_distillation_for_classification.ipynb

@@ -34,7 +34,7 @@
    },
    "outputs": [],
    "source": [
-    "!pip install -qq super_gradients==3.6.1"
+    "!pip install -qq super_gradients==3.7.0"
    ]
   },
   {

notebooks/quickstart_segmentation.ipynb

@@ -55,7 +55,7 @@
    },
    "outputs": [],
    "source": [
-    "! pip install -qq super-gradients==3.6.1"
+    "! pip install -qq super-gradients==3.7.0"
    ]
   },
   {

notebooks/segmentation_connect_custom_dataset.ipynb

@@ -141,7 +141,7 @@
     }
    ],
    "source": [
-    "! pip install -qq super-gradients==3.6.1"
+    "! pip install -qq super-gradients==3.7.0"
    ]
   },
   {

notebooks/transfer_learning_classification.ipynb

@@ -59,7 +59,7 @@
     }
    ],
    "source": [
-    "! pip install -qq super-gradients==3.6.1"
+    "! pip install -qq super-gradients==3.7.0"
    ]
   },
   {

notebooks/transfer_learning_semantic_segmentation.ipynb

@@ -71,7 +71,7 @@
    },
    "outputs": [],
    "source": [
-    "! pip install -qq super-gradients==3.6.1"
+    "! pip install -qq super-gradients==3.7.0"
    ]
   },
   {

notebooks/what_are_recipes_and_how_to_use.ipynb

@@ -41,7 +41,7 @@
   {
    "cell_type": "code",
    "source": [
-    "!pip install -q super-gradients==3.6.1"
+    "!pip install -q super-gradients==3.7.0"
    ],
    "metadata": {
     "id": "8uZM-4va5Rpu",

notebooks/yolo_nas_custom_dataset_fine_tuning_with_qat.ipynb

@@ -45,7 +45,7 @@
   {
    "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,

notebooks/yolo_nas_pose_eval_with_pycocotools.ipynb

@@ -36,7 +36,7 @@
    "execution_count": null,
    "outputs": [],
    "source": [
-    "!pip install -qq super_gradients==3.6.1"
+    "!pip install -qq super_gradients==3.7.0"
    ],
    "metadata": {
     "collapsed": false

src/super_gradients/__init__.py

@@ -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