Upgrade a lot of environments for image components (#3655)

* Update environment for common validation component. * Upgrade model prediction and metric computation components. * Upgrade image framework selector. * Upgrade image output selector.
Azure · Dec 7, 2024 · 8df7cfa · 8df7cfa
1 parent 8bf23d3
commit 8df7cfa
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Showing 8 changed files with 26 additions and 26 deletions.
diff --git a/assets/training/finetune_acft_common/components/validation/spec.yaml b/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: 0.0.6
+version: 0.0.7
 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/18
+environment: azureml://registries/azureml/environments/acpt-pytorch-2.2-cuda12.1/versions/23
 
 code: ../../src/validation
 

diff --git a/assets/training/finetune_acft_image/components/framework_selector/spec.yaml b/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: 0.0.18
+version: 0.0.19
 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/43
+environment: azureml://registries/azureml/environments/acpt-automl-image-framework-selector-gpu/versions/44
 
 code: ../../src/framework_selector
 

diff --git a/assets/training/finetune_acft_image/components/model_output_selector/spec.yaml b/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: 0.0.17
+version: 0.0.18
 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/43
+environment: azureml://registries/azureml/environments/acpt-automl-image-framework-selector-gpu/versions/44
 
 code: ../../src/model_output_selector
 

diff --git a/assets/training/finetune_acft_image/components/pipeline_components/classification/spec.yaml b/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: 0.0.21
+version: 0.0.22
 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:0.0.6
+    component: azureml:finetune_common_validation:0.0.7
     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:0.0.18
+    component: azureml:image_framework_selector:0.0.19
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       task_type: 'image-classification'
@@ -372,7 +372,7 @@ jobs:
 
   output_selector:
     type: command
-    component: azureml:image_model_output_selector:0.0.17
+    component: azureml:image_model_output_selector:0.0.18
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       mlflow_model_t: ${{parent.jobs.image_classification_runtime_component.outputs.mlflow_model_folder}}

diff --git a/...s/training/finetune_acft_image/components/pipeline_components/hf_classification/spec.yaml b/...s/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: 0.0.21
+version: 0.0.22
 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:0.0.6
+    component: azureml:finetune_common_validation:0.0.7
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       mlflow_model_path: ${{parent.inputs.mlflow_model}}
@@ -483,7 +483,7 @@ jobs:
 
   model_prediction:
     type: command
-    component: azureml:model_prediction:0.0.34
+    component: azureml:model_prediction:0.0.35
     compute: '${{parent.inputs.compute_model_evaluation}}'
     inputs:
       task: '${{parent.inputs.task_name}}'
@@ -498,7 +498,7 @@ jobs:
 
   compute_metrics:
     type: command
-    component: azureml:compute_metrics:0.0.33
+    component: azureml:compute_metrics:0.0.35
     compute: '${{parent.inputs.compute_model_evaluation}}'
     inputs:
       task: '${{parent.inputs.task_name}}'

diff --git a/...aining/finetune_acft_image/components/pipeline_components/instance_segmentation/spec.yaml b/...aining/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: 0.0.23
+version: 0.0.24
 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:0.0.6
+    component: azureml:finetune_common_validation:0.0.7
     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:0.0.18
+    component: azureml:image_framework_selector:0.0.19
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       task_type: ${{parent.inputs.task_type}}
@@ -424,7 +424,7 @@ jobs:
 
   output_selector:
     type: command
-    component: azureml:image_model_output_selector:0.0.17
+    component: azureml:image_model_output_selector:0.0.18
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       mlflow_model_t: ${{parent.jobs.image_instance_segmentation_runtime_component.outputs.mlflow_model_folder}}

diff --git a/assets/training/finetune_acft_image/components/pipeline_components/mmd_od_is/spec.yaml b/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: 0.0.23
+version: 0.0.24
 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:0.0.6
+    component: azureml:finetune_common_validation:0.0.7
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       mlflow_model_path: ${{parent.inputs.mlflow_model}}
@@ -482,7 +482,7 @@ jobs:
 
   model_prediction:
     type: command
-    component: azureml:model_prediction:0.0.34
+    component: azureml:model_prediction:0.0.35
     compute: '${{parent.inputs.compute_model_evaluation}}'
     inputs:
       task: '${{parent.inputs.task_name}}'
@@ -497,7 +497,7 @@ jobs:
 
   compute_metrics:
     type: command
-    component: azureml:compute_metrics:0.0.33
+    component: azureml:compute_metrics:0.0.35
     compute: '${{parent.inputs.compute_model_evaluation}}'
     inputs:
       task: '${{parent.inputs.task_name}}'

diff --git a/...ts/training/finetune_acft_image/components/pipeline_components/object_detection/spec.yaml b/...ts/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: 0.0.23
+version: 0.0.24
 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:0.0.6
+    component: azureml:finetune_common_validation:0.0.7
     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:0.0.18
+    component: azureml:image_framework_selector:0.0.19
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       task_type: ${{parent.inputs.task_type}}
@@ -451,7 +451,7 @@ jobs:
 
   output_selector:
     type: command
-    component: azureml:image_model_output_selector:0.0.17
+    component: azureml:image_model_output_selector:0.0.18
     compute: ${{parent.inputs.compute_model_import}}
     inputs:
       mlflow_model_t: ${{parent.jobs.image_object_detection_runtime_component.outputs.mlflow_model_folder}}