Update component and env versions

assets/training/finetune_acft_image/components/finetune/diffusers_text_to_image/spec.yaml

@@ -1,15 +1,15 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 type: command
 
-version: 0.0.6
+version: 0.0.7
 
 name: diffusers_text_to_image_finetune
 display_name: Text to Image Diffusers Model Finetune
 description: Component to finetune stable diffusion models using diffusers for text to image.
 
 is_deterministic: false
 
-environment: azureml://registries/azureml/environments/acft-transformers-image-gpu/versions/35
+environment: azureml://registries/azureml/environments/acft-transformers-image-gpu/versions/37
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_image/components/finetune/hf_classification/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 type: command
 
-version: 0.0.16
+version: 0.0.17
 name: transformers_image_classification_finetune
 display_name: Image Classification HuggingFace Transformers Model Finetune
 description: Component to finetune HuggingFace transformers models for image classification.
 
 is_deterministic: false
 
-environment: azureml://registries/azureml/environments/acft-transformers-image-gpu/versions/35
+environment: azureml://registries/azureml/environments/acft-transformers-image-gpu/versions/37
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_image/components/finetune/mmd_od_is/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 type: command
 
-version: 0.0.17
+version: 0.0.18
 name: mmdetection_image_objectdetection_instancesegmentation_finetune
 display_name: Image Object Detection and Instance Segmentation MMDetection Model Finetune
 description: Component to finetune MMDetection models for image object detection and instance segmentation.
 
 is_deterministic: false
 
-environment: azureml://registries/azureml/environments/acft-mmdetection-image-gpu/versions/35
+environment: azureml://registries/azureml/environments/acft-mmdetection-image-gpu/versions/37
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_image/components/finetune/mmt/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 type: command
 
-version: 0.0.9
+version: 0.0.10
 name: mmtracking_video_multi_object_tracking_finetune
 display_name: Video Multi Object Tracking MMTracking Model Finetune
 description: Component to finetune MMTracking models for video multi-object tracking task.
 
 is_deterministic: false
 
-environment: azureml://registries/azureml/environments/acft-mmtracking-video-gpu/versions/30
+environment: azureml://registries/azureml/environments/acft-mmtracking-video-gpu/versions/33
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_image/components/framework_selector/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/development/commandComponent.schema.json
 type: command
 
-version: 0.0.16
+version: 0.0.17
 name: image_framework_selector
 display_name: Framework Selector for Image Tasks
 description: Framework selector control flow component for image tasks
 
 is_deterministic: true
 
-environment: azureml://registries/azureml/environments/acpt-automl-image-framework-selector-gpu/versions/34
+environment: azureml://registries/azureml/environments/acpt-automl-image-framework-selector-gpu/versions/36
 
 code: ../../src/framework_selector
 

assets/training/finetune_acft_image/components/model_import/diffusers_text_to_image/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 type: command
 
-version: 0.0.6
+version: 0.0.7
 name: diffusers_text_to_image_model_import
 display_name: Text to Image Diffusers Model Import
 description: Import PyTorch / MLflow model
 
 is_deterministic: True
 
-environment: azureml://registries/azureml/environments/acft-transformers-image-gpu/versions/35
+environment: azureml://registries/azureml/environments/acft-transformers-image-gpu/versions/37
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_image/components/model_import/hf_classification/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 type: command
 
-version: 0.0.16
+version: 0.0.17
 name: transformers_image_classification_model_import
 display_name: Image Classification HuggingFace Transformers Model Import
 description: Import PyTorch / MLflow model
 
 is_deterministic: True
 
-environment: azureml://registries/azureml/environments/acft-transformers-image-gpu/versions/35
+environment: azureml://registries/azureml/environments/acft-transformers-image-gpu/versions/37
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_image/components/model_import/mmd_od_is/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 type: command
 
-version: 0.0.17
+version: 0.0.18
 name: mmdetection_image_objectdetection_instancesegmentation_model_import
 display_name: Image Object Detection and Instance Segmentation MMDetection Model Import
 description: Import PyTorch / MLflow model
 
 is_deterministic: True
 
-environment: azureml://registries/azureml/environments/acft-mmdetection-image-gpu/versions/35
+environment: azureml://registries/azureml/environments/acft-mmdetection-image-gpu/versions/37
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_image/components/model_import/mmt/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 type: command
 
-version: 0.0.9
+version: 0.0.10
 name: mmtracking_video_multi_object_tracking_model_import
 display_name: Video Multi Object Tracking MMTracking Model Import
 description: Import PyTorch / MLflow model
 
 is_deterministic: True
 
-environment: azureml://registries/azureml/environments/acft-mmtracking-video-gpu/versions/30
+environment: azureml://registries/azureml/environments/acft-mmtracking-video-gpu/versions/33
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_image/components/model_output_selector/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 type: command
 
-version: 0.0.15
+version: 0.0.16
 name: image_model_output_selector
 display_name: Model output selector for image components
 description: Model output selector control flow component for image tasks
 
 is_deterministic: true
 
-environment: azureml://registries/azureml/environments/acpt-automl-image-framework-selector-gpu/versions/34
+environment: azureml://registries/azureml/environments/acpt-automl-image-framework-selector-gpu/versions/36
 
 code: ../../src/model_output_selector
 

assets/training/finetune_acft_image/components/pipeline_components/classification/spec.yaml

@@ -1,7 +1,7 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 type: pipeline
 
-version: 0.0.18
+version: 0.0.19
 name: image_classification_pipeline
 display_name: Image Classification Pipeline
 description: Pipeline component for image classification.
@@ -268,7 +268,7 @@ jobs:
 
   framework_selector:
     type: command
-    component: azureml:image_framework_selector:0.0.16
+    component: azureml:image_framework_selector:0.0.17
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       task_type: 'image-classification'
@@ -277,7 +277,7 @@ jobs:
 
   image_classification_runtime_component:
     type: command
-    component: azureml:train_image_classification_model:0.0.11
+    component: azureml:train_image_classification_model:0.0.12
     compute: ${{parent.inputs.compute_finetune}}
     resources:
       shm_size: '16g'
@@ -319,7 +319,7 @@ jobs:
 
   hugging_face_model_import:
     type: command
-    component: azureml:transformers_image_classification_model_import:0.0.16
+    component: azureml:transformers_image_classification_model_import:0.0.17
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       model_family: 'HuggingFaceImage'
@@ -329,7 +329,7 @@ jobs:
 
   hugging_face_finetune:
     type: command
-    component: azureml:transformers_image_classification_finetune:0.0.16
+    component: azureml:transformers_image_classification_finetune:0.0.17
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch
@@ -371,7 +371,7 @@ jobs:
 
   output_selector:
     type: command
-    component: azureml:image_model_output_selector:0.0.15
+    component: azureml:image_model_output_selector:0.0.16
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       mlflow_model_t: ${{parent.jobs.image_classification_runtime_component.outputs.mlflow_model_folder}}

assets/training/finetune_acft_image/components/pipeline_components/diffusers_text_to_image/spec.yaml

@@ -1,7 +1,7 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 type: pipeline
 
-version: 0.0.6
+version: 0.0.7
 name: diffusers_text_to_image_dreambooth_pipeline
 display_name: Text to Image Dreambooth Finetuning Diffusers Pipeline
 description: Pipeline component for text to image dreambooth training using diffusers library and transformers models.
@@ -412,7 +412,7 @@ outputs:
 jobs:
   text_to_image_model_import:
     type: command
-    component: azureml:diffusers_text_to_image_model_import:0.0.6
+    component: azureml:diffusers_text_to_image_model_import:0.0.7
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       model_family: ${{parent.inputs.model_family}}
@@ -422,7 +422,7 @@ jobs:
       download_from_source: ${{parent.inputs.download_from_source}}
   text_to_image_dreambooth_finetune:
     type: command
-    component: azureml:diffusers_text_to_image_finetune:0.0.6
+    component: azureml:diffusers_text_to_image_finetune:0.0.7
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch

assets/training/finetune_acft_image/components/pipeline_components/hf_classification/spec.yaml

@@ -1,7 +1,7 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 type: pipeline
 
-version: 0.0.18
+version: 0.0.19
 name: transformers_image_classification_pipeline
 display_name: Image Classification HuggingFace Transformers Pipeline
 description: Pipeline component for image classification using HuggingFace transformers models.
@@ -416,7 +416,7 @@ jobs:
 
   image_classification_model_import:
     type: command
-    component: azureml:transformers_image_classification_model_import:0.0.16
+    component: azureml:transformers_image_classification_model_import:0.0.17
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       model_family: ${{parent.inputs.model_family}}
@@ -428,7 +428,7 @@ jobs:
 
   image_classification_finetune:
     type: command
-    component: azureml:transformers_image_classification_finetune:0.0.16
+    component: azureml:transformers_image_classification_finetune:0.0.17
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch

assets/training/finetune_acft_image/components/pipeline_components/instance_segmentation/spec.yaml

@@ -1,7 +1,7 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 type: pipeline
 
-version: 0.0.19
+version: 0.0.20
 name: image_instance_segmentation_pipeline
 display_name: Image Instance Segmentation Pipeline
 description: Pipeline component for image instance segmentation.
@@ -313,7 +313,7 @@ jobs:
 
   framework_selector:
     type: command
-    component: azureml:image_framework_selector:0.0.16
+    component: azureml:image_framework_selector:0.0.17
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       task_type: ${{parent.inputs.task_type}}
@@ -322,7 +322,7 @@ jobs:
 
   image_instance_segmentation_runtime_component:
     type: command
-    component: azureml:train_instance_segmentation_model:0.0.11
+    component: azureml:train_instance_segmentation_model:0.0.12
     compute: ${{parent.inputs.compute_finetune}}
     resources:
       shm_size: '16g'
@@ -369,7 +369,7 @@ jobs:
 
   mm_detection_model_import:
     type: command
-    component: azureml:mmdetection_image_objectdetection_instancesegmentation_model_import:0.0.17
+    component: azureml:mmdetection_image_objectdetection_instancesegmentation_model_import:0.0.18
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       model_family: 'MmDetectionImage'
@@ -379,7 +379,7 @@ jobs:
 
   mm_detection_finetune:
     type: command
-    component: azureml:mmdetection_image_objectdetection_instancesegmentation_finetune:0.0.17
+    component: azureml:mmdetection_image_objectdetection_instancesegmentation_finetune:0.0.18
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch
@@ -423,7 +423,7 @@ jobs:
 
   output_selector:
     type: command
-    component: azureml:image_model_output_selector:0.0.15
+    component: azureml:image_model_output_selector:0.0.16
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       mlflow_model_t: ${{parent.jobs.image_instance_segmentation_runtime_component.outputs.mlflow_model_folder}}

assets/training/finetune_acft_image/components/pipeline_components/mmd_od_is/spec.yaml

@@ -1,7 +1,7 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 type: pipeline
 
-version: 0.0.19
+version: 0.0.20
 name: mmdetection_image_objectdetection_instancesegmentation_pipeline
 display_name: Image Object Detection and Instance Segmentation MMDetection Pipeline
 description: Pipeline component for image object detection and instance segmentation using MMDetection models.
@@ -414,7 +414,7 @@ jobs:
 
   image_od_is_model_import:
     type: command
-    component: azureml:mmdetection_image_objectdetection_instancesegmentation_model_import:0.0.17
+    component: azureml:mmdetection_image_objectdetection_instancesegmentation_model_import:0.0.18
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       model_family: ${{parent.inputs.model_family}}
@@ -426,7 +426,7 @@ jobs:
 
   image_od_is_finetune:
     type: command
-    component: azureml:mmdetection_image_objectdetection_instancesegmentation_finetune:0.0.17
+    component: azureml:mmdetection_image_objectdetection_instancesegmentation_finetune:0.0.18
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch

assets/training/finetune_acft_image/components/pipeline_components/mmt/spec.yaml

@@ -1,7 +1,7 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 type: pipeline
 
-version: 0.0.13
+version: 0.0.14
 name: mmtracking_video_multi_object_tracking_pipeline
 display_name: Video Multi-Object Tracking MMTracking Pipeline
 description: Pipeline component for multi-object tracking using MMTracking models.
@@ -324,7 +324,7 @@ jobs:
 
   model_import:
     type: command
-    component: azureml:mmtracking_video_multi_object_tracking_model_import:0.0.9
+    component: azureml:mmtracking_video_multi_object_tracking_model_import:0.0.10
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       model_family: ${{parent.inputs.model_family}}
@@ -336,7 +336,7 @@ jobs:
 
   finetune:
     type: command
-    component: azureml:mmtracking_video_multi_object_tracking_finetune:0.0.9
+    component: azureml:mmtracking_video_multi_object_tracking_finetune:0.0.10
     compute: ${{parent.inputs.compute_finetune}}
     resources:
       shm_size: '16g'