update pipeline components

Author: iamrk04

assets/training/finetune_acft_hf_nlp/components/pipeline_components/nlp_multiclass/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 name: nlp_textclassification_multiclass
-version: 0.0.2
+version: 0.0.3
 type: pipeline
 display_name: PipelineComponent for AutoML NLP Multiclass TextClassification
 description: Pipeline component for AutoML NLP Multiclass Text classification
@@ -224,13 +224,13 @@ outputs:
 jobs:
   model_import:
     type: command
-    component: azureml:text_classification_model_import:0.0.12_nlp
+    component: azureml:text_classification_model_import:0.0.66
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       huggingface_id: ${{parent.inputs.model_name}}
   preprocess:
     type: command
-    component: azureml:nlp_multiclass_datapreprocessing:0.0.1
+    component: azureml:nlp_multiclass_datapreprocessing:0.0.2
     compute: ${{parent.inputs.compute_preprocess}}
     inputs:
       label_column_name: ${{parent.inputs.label_column_name}}
@@ -240,7 +240,7 @@ jobs:
       enable_long_range_text: ${{parent.inputs.enable_long_range_text}}
   finetune:
     type: command
-    component: azureml:text_classification_finetune:0.0.14_nlp
+    component: azureml:text_classification_finetune:0.0.66
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch

assets/training/finetune_acft_hf_nlp/components/pipeline_components/nlp_multilabel/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 name: nlp_textclassification_multilabel
-version: 0.0.2
+version: 0.0.3
 type: pipeline
 display_name: PipelineComponent for AutoML NLP Multilabel TextClassification
 description: Pipeline component for AutoML NLP Multilabel Text classification
@@ -224,13 +224,13 @@ outputs:
 jobs:
   model_import:
     type: command
-    component: azureml:text_classification_model_import:0.0.12_nlp
+    component: azureml:text_classification_model_import:0.0.66
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       huggingface_id: ${{parent.inputs.model_name}}
   preprocess:
     type: command
-    component: azureml:nlp_multilabel_datapreprocessing:0.0.1
+    component: azureml:nlp_multilabel_datapreprocessing:0.0.2
     compute: ${{parent.inputs.compute_preprocess}}
     inputs:
       label_column_name: ${{parent.inputs.label_column_name}}
@@ -240,7 +240,7 @@ jobs:
       enable_long_range_text: ${{parent.inputs.enable_long_range_text}}
   finetune:
     type: command
-    component: azureml:text_classification_finetune:0.0.14_nlp
+    component: azureml:text_classification_finetune:0.0.66
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch

assets/training/finetune_acft_hf_nlp/components/pipeline_components/nlp_ner/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 name: nlp_textclassification_ner
-version: 0.0.2
+version: 0.0.3
 type: pipeline
 display_name: PipelineComponent for AutoML NLP NER
 description: Pipeline component for AutoML NLP NER
@@ -216,21 +216,21 @@ outputs:
 jobs:
   model_import:
     type: command
-    component: azureml:token_classification_model_import:0.0.12_nlp
+    component: azureml:token_classification_model_import:0.0.66
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       huggingface_id: ${{parent.inputs.model_name}}
   preprocess:
     type: command
-    component: azureml:nlp_ner_datapreprocessing:0.0.1
+    component: azureml:nlp_ner_datapreprocessing:0.0.2
     compute: ${{parent.inputs.compute_preprocess}}
     inputs:
       train_file_path: ${{parent.inputs.training_data}}
       valid_file_path: ${{parent.inputs.validation_data}}
       model_selector_output: ${{parent.jobs.model_import.outputs.output_dir}}
   finetune:
     type: command
-    component: azureml:token_classification_finetune:0.0.14_nlp
+    component: azureml:token_classification_finetune:0.0.66
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch

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: 0.0.22
+version: 0.0.23
 name: image_classification_pipeline
 display_name: Image Classification Pipeline
 description: Pipeline component for image classification.
@@ -255,7 +255,7 @@ jobs:
 
   finetune_common_validation:
     type: command
-    component: azureml:finetune_common_validation:0.0.7
+    component: azureml:finetune_common_validation:0.0.8
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       train_mltable_path: ${{parent.inputs.training_data}}
@@ -269,7 +269,7 @@ jobs:
 
   framework_selector:
     type: command
-    component: azureml:image_framework_selector:0.0.19
+    component: azureml:image_framework_selector:0.0.20
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       task_type: 'image-classification'
@@ -278,7 +278,7 @@ jobs:
 
   image_classification_runtime_component:
     type: command
-    component: azureml:train_image_classification_model:0.0.12
+    component: azureml:train_image_classification_model:0.0.13
     compute: ${{parent.inputs.compute_finetune}}
     resources:
       shm_size: '16g'
@@ -320,7 +320,7 @@ jobs:
 
   hugging_face_model_import:
     type: command
-    component: azureml:transformers_image_classification_model_import:0.0.19
+    component: azureml:transformers_image_classification_model_import:0.0.20
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       model_family: 'HuggingFaceImage'
@@ -330,7 +330,7 @@ jobs:
 
   hugging_face_finetune:
     type: command
-    component: azureml:transformers_image_classification_finetune:0.0.19
+    component: azureml:transformers_image_classification_finetune:0.0.20
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch
@@ -372,7 +372,7 @@ jobs:
 
   output_selector:
     type: command
-    component: azureml:image_model_output_selector:0.0.18
+    component: azureml:image_model_output_selector:0.0.19
     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/hf_classification/spec.yaml

@@ -1,7 +1,7 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 type: pipeline
 
-version: 0.0.22
+version: 0.0.23
 name: transformers_image_classification_pipeline
 display_name: Image Classification HuggingFace Transformers Pipeline
 description: Pipeline component for image classification using HuggingFace transformers models.
@@ -393,7 +393,7 @@ outputs:
 jobs:
   finetune_common_validation:
     type: command
-    component: azureml:finetune_common_validation:0.0.7
+    component: azureml:finetune_common_validation:0.0.8
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       mlflow_model_path: ${{parent.inputs.mlflow_model}}
@@ -416,7 +416,7 @@ jobs:
 
   image_classification_model_import:
     type: command
-    component: azureml:transformers_image_classification_model_import:0.0.19
+    component: azureml:transformers_image_classification_model_import:0.0.20
     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:0.0.19
+    component: azureml:transformers_image_classification_finetune:0.0.20
     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: 0.0.24
+version: 0.0.25
 name: image_instance_segmentation_pipeline
 display_name: Image Instance Segmentation Pipeline
 description: Pipeline component for image instance segmentation.
@@ -300,7 +300,7 @@ jobs:
 
   finetune_common_validation:
     type: command
-    component: azureml:finetune_common_validation:0.0.7
+    component: azureml:finetune_common_validation:0.0.8
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       train_mltable_path: ${{parent.inputs.training_data}}
@@ -314,7 +314,7 @@ jobs:
 
   framework_selector:
     type: command
-    component: azureml:image_framework_selector:0.0.19
+    component: azureml:image_framework_selector:0.0.20
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       task_type: ${{parent.inputs.task_type}}
@@ -323,7 +323,7 @@ jobs:
 
   image_instance_segmentation_runtime_component:
     type: command
-    component: azureml:train_instance_segmentation_model:0.0.12
+    component: azureml:train_instance_segmentation_model:0.0.13
     compute: ${{parent.inputs.compute_finetune}}
     resources:
       shm_size: '16g'
@@ -370,7 +370,7 @@ jobs:
 
   mm_detection_model_import:
     type: command
-    component: azureml:mmdetection_image_objectdetection_instancesegmentation_model_import:0.0.19
+    component: azureml:mmdetection_image_objectdetection_instancesegmentation_model_import:0.0.20
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       model_family: 'MmDetectionImage'
@@ -380,7 +380,7 @@ jobs:
 
   mm_detection_finetune:
     type: command
-    component: azureml:mmdetection_image_objectdetection_instancesegmentation_finetune:0.0.19
+    component: azureml:mmdetection_image_objectdetection_instancesegmentation_finetune:0.0.21
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch
@@ -424,7 +424,7 @@ jobs:
 
   output_selector:
     type: command
-    component: azureml:image_model_output_selector:0.0.18
+    component: azureml:image_model_output_selector:0.0.19
     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: 0.0.25
+version: 0.0.26
 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.
@@ -391,7 +391,7 @@ outputs:
 jobs:
   finetune_common_validation:
     type: command
-    component: azureml:finetune_common_validation:0.0.7
+    component: azureml:finetune_common_validation:0.0.8
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       mlflow_model_path: ${{parent.inputs.mlflow_model}}
@@ -414,7 +414,7 @@ jobs:
 
   image_od_is_model_import:
     type: command
-    component: azureml:mmdetection_image_objectdetection_instancesegmentation_model_import:0.0.19
+    component: azureml:mmdetection_image_objectdetection_instancesegmentation_model_import:0.0.20
     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:0.0.20
+    component: azureml:mmdetection_image_objectdetection_instancesegmentation_finetune:0.0.21
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch

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

@@ -1,7 +1,7 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 type: pipeline
 
-version: 0.0.24
+version: 0.0.25
 name: image_object_detection_pipeline
 display_name: Image Object Detection Pipeline
 description: Pipeline component for image object detection.
@@ -325,7 +325,7 @@ jobs:
 
   finetune_common_validation:
     type: command
-    component: azureml:finetune_common_validation:0.0.7
+    component: azureml:finetune_common_validation:0.0.8
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       train_mltable_path: ${{parent.inputs.training_data}}
@@ -339,7 +339,7 @@ jobs:
 
   framework_selector:
     type: command
-    component: azureml:image_framework_selector:0.0.19
+    component: azureml:image_framework_selector:0.0.20
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       task_type: ${{parent.inputs.task_type}}
@@ -348,7 +348,7 @@ jobs:
 
   image_object_detection_runtime_component:
     type: command
-    component:  azureml:train_object_detection_model:0.0.12
+    component:  azureml:train_object_detection_model:0.0.13
     compute: ${{parent.inputs.compute_finetune}}
     resources:
       shm_size: '16g'
@@ -397,7 +397,7 @@ jobs:
 
   mm_detection_model_import:
     type: command
-    component: azureml:mmdetection_image_objectdetection_instancesegmentation_model_import:0.0.19
+    component: azureml:mmdetection_image_objectdetection_instancesegmentation_model_import:0.0.20
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       model_family: 'MmDetectionImage'
@@ -407,7 +407,7 @@ jobs:
 
   mm_detection_finetune:
     type: command
-    component: azureml:mmdetection_image_objectdetection_instancesegmentation_finetune:0.0.19
+    component: azureml:mmdetection_image_objectdetection_instancesegmentation_finetune:0.0.21
     compute: ${{parent.inputs.compute_finetune}}
     distribution:
       type: pytorch
@@ -451,7 +451,7 @@ jobs:
 
   output_selector:
     type: command
-    component: azureml:image_model_output_selector:0.0.18
+    component: azureml:image_model_output_selector:0.0.19
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       mlflow_model_t: ${{parent.jobs.image_object_detection_runtime_component.outputs.mlflow_model_folder}}