Merge branch 'main' into abhisheku/mmlab_model_selection

assets/training/finetune_acft_common/components/validation/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 type: command
 
-version: 0.0.7
+version: 0.0.8
 name: finetune_common_validation
 display_name: Common Validation Component
 description: Component to validate the finetune job against Validation Service
 
 is_deterministic: True
 
-environment: azureml://registries/azureml/environments/acpt-pytorch-2.2-cuda12.1/versions/23
+environment: azureml://registries/azureml/environments/acpt-pytorch-2.2-cuda12.1/labels/latest
 
 code: ../../src/validation
 

assets/training/finetune_acft_hf_nlp/components/finetune/text_classification/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: text_classification_finetune
-version: 0.0.65
+version: 0.0.66
 type: command
 
 is_deterministic: false
 
 display_name: Text Classification Finetune
 description: Component to finetune Hugging Face pretrained models for text classification task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/text_classification_finetune) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/labels/latest
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_hf_nlp/components/finetune/token_classification/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: token_classification_finetune
-version: 0.0.65
+version: 0.0.66
 type: command
 
 is_deterministic: false
 
 display_name: Token Classification Finetune
 description: Component to finetune Hugging Face pretrained models for token classification task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/token_classification_finetune) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/labels/latest
 
 code: ../../../src/finetune
 

assets/training/finetune_acft_hf_nlp/components/model_import/text_classification/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: text_classification_model_import
-version: 0.0.65
+version: 0.0.66
 type: command
 
 is_deterministic: True
 
 display_name: Text Classification Model Import
 description: Component to import PyTorch / MLFlow model. See [docs](https://aka.ms/azureml/components/text_classification_model_import) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/labels/latest
 
 code: ../../../src/model_selector
 

assets/training/finetune_acft_hf_nlp/components/model_import/token_classification/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: token_classification_model_import
-version: 0.0.65
+version: 0.0.66
 type: command
 
 is_deterministic: True
 
 display_name: Token Classification Model Import
 description: Component to import PyTorch / MLFlow model. See [docs](https://aka.ms/azureml/components/token_classification_model_import) to learn more.
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/80
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/labels/latest
 
 code: ../../../src/model_selector
 

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_hf_nlp/components/preprocess/nlp_multiclass/spec.yaml

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: nlp_multiclass_datapreprocessing
-version: 0.0.1
+version: 0.0.2
 type: command
 
 is_deterministic: True
 
 display_name: DataPreProcessing for AutoMLNLPMulticlass
 description: Component to preprocess data for automl nlp multiclass classification task
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/16
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/labels/latest
 
 code: ../../../src/preprocess
 

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

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: nlp_multilabel_datapreprocessing
-version: 0.0.1
+version: 0.0.2
 type: command
 
 is_deterministic: True
 
 display_name: DataPreProcessing for AutoMLNLPMultilabel
 description: Component to preprocess data for automl nlp multilabel classification task
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/16
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/labels/latest
 
 code: ../../../src/preprocess
 

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

@@ -1,14 +1,14 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: nlp_ner_datapreprocessing
-version: 0.0.1
+version: 0.0.2
 type: command
 
 is_deterministic: True
 
 display_name: DataPreProcessing for AutoMLNLPNER
 description: Component to preprocess data for automl nlp ner task
 
-environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/versions/16
+environment: azureml://registries/azureml/environments/acft-hf-nlp-gpu/labels/latest
 
 code: ../../../src/preprocess
 

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: 0.0.19
+version: 0.0.20
 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/46
+environment: azureml://registries/azureml/environments/acft-transformers-image-gpu/labels/latest
 
 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: 0.0.20
+version: 0.0.21
 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/48
+environment: azureml://registries/azureml/environments/acft-mmdetection-image-gpu/labels/latest
 
 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: 0.0.19
+version: 0.0.20
 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/44
+environment: azureml://registries/azureml/environments/acpt-automl-image-framework-selector-gpu/labels/latest
 
 code: ../../src/framework_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: 0.0.19
+version: 0.0.20
 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/46
+environment: azureml://registries/azureml/environments/acft-transformers-image-gpu/labels/latest
 
 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: 0.0.19
+version: 0.0.20
 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/46
+environment: azureml://registries/azureml/environments/acft-mmdetection-image-gpu/labels/latest
 
 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: 0.0.18
+version: 0.0.19
 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/44
+environment: azureml://registries/azureml/environments/acpt-automl-image-framework-selector-gpu/labels/latest
 
 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: 0.0.22
+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}}