upgrade forecasting and batch_score_oss components

Azure · Feb 24, 2025 · 273e0c5 · 273e0c5
1 parent 97ab206
commit 273e0c5
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Showing 22 changed files with 50 additions and 52 deletions.
diff --git a/assets/aml-benchmark/components/batch_benchmark_config_generator/spec.yaml b/assets/aml-benchmark/components/batch_benchmark_config_generator/spec.yaml
@@ -4,7 +4,7 @@ type: command
 name: batch_benchmark_config_generator
 display_name: Batch Benchmark Config Generator
 description: Generates the config for the batch score component.
-version: 0.0.9
+version: 0.0.10
 is_deterministic: true
 
 inputs:
@@ -86,7 +86,7 @@ outputs:
     description: The config json file for the batch score component.
 
 code: ../src
-environment: azureml://registries/azureml/environments/evaluation/labels/latest
+environment: azureml://registries/azureml/environments/evaluation/versions/5
 command: >-
   python -m aml_benchmark.batch_config_generator.main 
   --scoring_url '${{inputs.scoring_url}}'

diff --git a/assets/batch_score_oss/components/driver/batch_score_oss/spec.yaml b/assets/batch_score_oss/components/driver/batch_score_oss/spec.yaml
@@ -2,7 +2,7 @@ $schema: http://azureml/sdk-2-0/ParallelComponent.json
 type: parallel
 
 name: batch_score_oss
-version: 0.0.1
+version: 0.0.2
 display_name: Batch Score Large Language Models
 is_deterministic: False
 
@@ -61,5 +61,5 @@ task:
     --configuration_file ${{inputs.configuration_file}}
     --partitioned_scoring_results ${{outputs.mini_batch_results_output_directory}}
     $[[--resume_from ${{inputs.resume_from}}]]
-  environment: azureml://registries/azureml/environments/model-evaluation/versions/36
+  environment: azureml://registries/azureml/environments/model-evaluation/versions/44
   append_row_to: ${{outputs.job_output_path}}
diff --git a/...raining/forecasting_demand/automl-hts-inference/components/automl_hts_inference/spec.yaml b/...raining/forecasting_demand/automl-hts-inference/components/automl_hts_inference/spec.yaml
@@ -4,7 +4,7 @@ type: pipeline
 name: automl_hts_inference
 display_name: AutoML Hierarchical Timeseries Forecasting - Inference
 description: Enables inference for hts components.
-version: 0.0.7
+version: 0.0.8
 is_deterministic: false
 
 inputs:
@@ -74,7 +74,7 @@ outputs:
 jobs:
   automl_hts_inference_setup: 
     type: command
-    component: azureml:automl_hts_inference_setup_step:0.0.7
+    component: azureml:automl_hts_inference_setup_step:0.0.8
     inputs:
       raw_Data: ${{parent.inputs.raw_data}}
       enable_event_logger:  True
@@ -97,7 +97,7 @@ jobs:
     compute: ${{parent.inputs.compute_name}}
   automl_hts_model_inference: 
     type: parallel
-    component: azureml:automl_hts_prs_inference_step:0.0.7
+    component: azureml:automl_hts_prs_inference_step:0.0.8
     inputs:
       partitioned_data: ${{parent.jobs.automl_hts_inference_setup.outputs.processed_data}}
       metadata: ${{parent.jobs.automl_hts_inference_setup.outputs.metadata}}
@@ -121,7 +121,7 @@ jobs:
     compute: ${{parent.inputs.compute_name}}
   automl_hts_inference_collect_step: 
     type: command
-    component: azureml:automl_hts_inference_collect_step:0.0.7
+    component: azureml:automl_hts_inference_collect_step:0.0.8
     inputs:
       setup_metadata: ${{parent.jobs.automl_hts_inference_setup.outputs.metadata}}
       input_metadata: ${{parent.jobs.automl_hts_model_inference.outputs.output_metadata}}

diff --git a/...forecasting_demand/automl-hts-inference/components/automl_hts_inference_collect/spec.yaml b/...forecasting_demand/automl-hts-inference/components/automl_hts_inference_collect/spec.yaml
@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: automl_hts_inference_collect_step
-version: 0.0.7
+version: 0.0.8
 display_name: AutoML HTS - Inference Collect
 type: command
 
@@ -32,7 +32,7 @@ outputs:
     description: 'jsonl used for evaluation component.'
 
 code: ../../src/collect
-environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+environment: azureml://registries/azureml/environments/automl-gpu/versions/42
 
 command: >-
   python collect.py 

diff --git a/...g/forecasting_demand/automl-hts-inference/components/automl_hts_inference_setup/spec.yaml b/...g/forecasting_demand/automl-hts-inference/components/automl_hts_inference_setup/spec.yaml
@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: automl_hts_inference_setup_step
-version: 0.0.7
+version: 0.0.8
 display_name: AutoML HTS - Inference Setup
 type: command
 
@@ -67,7 +67,7 @@ outputs:
 
 
 code: ../../src/setup
-environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+environment: azureml://registries/azureml/environments/automl-gpu/versions/42
 
 command: >-
   python setup.py 

diff --git a/...ing/forecasting_demand/automl-hts-inference/components/automl_hts_prs_inference/spec.yaml b/...ing/forecasting_demand/automl-hts-inference/components/automl_hts_prs_inference/spec.yaml
@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineJob.schema.json
 type: parallel
-version: 0.0.7
+version: 0.0.8
 
 name: automl_hts_prs_inference_step
 display_name: AutoML HTS - Inference Step
@@ -58,7 +58,7 @@ task:
   type: run_function
   code: ../../src/inference
   entry_script: inference.py
-  environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+  environment: azureml://registries/azureml/environments/automl-gpu/versions/42
   program_arguments: >-
     --setup-metadata ${{inputs.metadata}}
     --error_threshold -1

diff --git a/assets/training/forecasting_demand/automl-hts-train/components/automl_hts_data_agg/spec.yaml b/assets/training/forecasting_demand/automl-hts-train/components/automl_hts_data_agg/spec.yaml
@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/parallelComponent.schema.json
 type: parallel
-version: 0.0.7
+version: 0.0.8
 
 name: automl_hts_data_aggregation_step
 display_name: AutoML HTS - Training Data Aggregation
@@ -58,7 +58,7 @@ task:
   type: run_function
   code: ../../src/data_agg
   entry_script: data_agg.py
-  environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+  environment: azureml://registries/azureml/environments/automl-gpu/versions/42
   program_arguments: >-
     --input-metadata ${{inputs.metadata}}
     --error_threshold -1

diff --git a/...ts/training/forecasting_demand/automl-hts-train/components/automl_hts_prs_train/spec.yaml b/...ts/training/forecasting_demand/automl-hts-train/components/automl_hts_prs_train/spec.yaml
@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/parallelComponent.schema.json
 type: parallel
-version: 0.0.7
+version: 0.0.8
 
 name: automl_hts_automl_training_step
 display_name: AutoML HTS - AutoML Training
@@ -58,7 +58,7 @@ task:
   type: run_function
   code: ../../src/train
   entry_script: train.py
-  environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+  environment: azureml://registries/azureml/environments/automl-gpu/versions/42
   program_arguments: >-
     --input-metadata ${{inputs.metadata}}
     --error_threshold -1

diff --git a/assets/training/forecasting_demand/automl-hts-train/components/automl_hts_train/spec.yaml b/assets/training/forecasting_demand/automl-hts-train/components/automl_hts_train/spec.yaml
@@ -4,7 +4,7 @@ type: pipeline
 name: automl_hts_training
 display_name: AutoML Hierarchical Timeseries Forecasting - Training
 description: Enables AutoML Training for hts components.
-version: 0.0.7
+version: 0.0.8
 is_deterministic: false
 
 inputs:
@@ -40,7 +40,7 @@ outputs:
 jobs:
   automl_hts_train_setup_step: 
     type: command
-    component: azureml:automl_hts_training_setup_step:0.0.7
+    component: azureml:automl_hts_training_setup_step:0.0.8
     inputs:
       raw_Data: ${{parent.inputs.raw_data}}
       automl_config: ${{parent.inputs.automl_config}}
@@ -56,7 +56,7 @@ jobs:
     compute: ${{parent.inputs.compute_name}}
   automl_hts_data_aggregation_step: 
     type: parallel
-    component: azureml:automl_hts_data_aggregation_step:0.0.7
+    component: azureml:automl_hts_data_aggregation_step:0.0.8
     inputs:
       partitioned_data: ${{parent.jobs.automl_hts_train_setup_step.outputs.processed_data}}
       metadata: ${{parent.jobs.automl_hts_train_setup_step.outputs.metadata}}
@@ -80,7 +80,7 @@ jobs:
     compute: ${{parent.inputs.compute_name}}
   automl_hts_automl_training_step: 
     type: parallel
-    component: azureml:automl_hts_automl_training_step:0.0.7
+    component: azureml:automl_hts_automl_training_step:0.0.8
     inputs:
       aggregated_data: ${{parent.jobs.automl_hts_data_aggregation_step.outputs.aggregated_data}}
       data_agg_metadata: ${{parent.jobs.automl_hts_data_aggregation_step.outputs.output_metadata}}
@@ -104,7 +104,7 @@ jobs:
     compute: ${{parent.inputs.compute_name}}
   automl_hts_train_collect_step: 
     type: command
-    component: azureml:automl_hts_training_collect_step:0.0.7
+    component: azureml:automl_hts_training_collect_step:0.0.8
     inputs:
       setup_metadata: ${{parent.jobs.automl_hts_train_setup_step.outputs.metadata}}
       input_metadata: ${{parent.jobs.automl_hts_automl_training_step.outputs.output_metadata}}

diff --git a/...raining/forecasting_demand/automl-hts-train/components/automl_hts_train_collect/spec.yaml b/...raining/forecasting_demand/automl-hts-train/components/automl_hts_train_collect/spec.yaml
@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: automl_hts_training_collect_step
-version: 0.0.7
+version: 0.0.8
 display_name: AutoML HTS - Collection Training Results
 type: command
 
@@ -23,7 +23,7 @@ outputs:
     description: 'Output metadata that contains train status.'
 
 code: ../../src/collect
-environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+environment: azureml://registries/azureml/environments/automl-gpu/versions/42
 
 command: >-
   python collect.py 

diff --git a/.../training/forecasting_demand/automl-hts-train/components/automl_hts_train_setup/spec.yaml b/.../training/forecasting_demand/automl-hts-train/components/automl_hts_train_setup/spec.yaml
@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: automl_hts_training_setup_step
-version: 0.0.7
+version: 0.0.8
 display_name: AutoML HTS - Training Setup
 type: command
 
@@ -37,7 +37,7 @@ outputs:
 
 
 code: ../../src/setup
-environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+environment: azureml://registries/azureml/environments/automl-gpu/versions/42
 
 command: >-
   python setup.py 

diff --git a/...ecasting_demand/automl-many-models-train/components/automl_many_model_prs_train/spec.yaml b/...ecasting_demand/automl-many-models-train/components/automl_many_model_prs_train/spec.yaml
@@ -2,7 +2,7 @@ $schema: https://azuremlschemas.azureedge.net/latest/parallelComponent.schema.js
 
 name: automl_many_models_training_step
 display_name: AutoML Many Models - AutoML Training
-version: 0.0.7
+version: 0.0.8
 is_deterministic: false
 
 type: parallel
@@ -57,7 +57,7 @@ task:
   type: run_function
   code: ../../src/train
   entry_script: train.py
-  environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+  environment: azureml://registries/azureml/environments/automl-gpu/versions/42
   program_arguments: >-
     --input-metadata ${{inputs.metadata}}
     --error_threshold -1

diff --git a/...recasting_demand/automl-many-models-train/components/automl_many_model_training/spec.yaml b/...recasting_demand/automl-many-models-train/components/automl_many_model_training/spec.yaml
@@ -4,7 +4,7 @@ type: pipeline
 name: automl_many_models_training
 display_name: AutoML - Many Models Training
 description: Enables AutoML many models training.
-version: 0.0.7
+version: 0.0.8
 is_deterministic: false
 
 inputs:
@@ -44,7 +44,7 @@ outputs:
 jobs:
   automl_many_models_training_setup_step: 
     type: command
-    component: azureml:automl_many_models_training_setup_step:0.0.7
+    component: azureml:automl_many_models_training_setup_step:0.0.8
     inputs:
       raw_Data: ${{parent.inputs.raw_data}}
       automl_config: ${{parent.inputs.automl_config}}
@@ -61,7 +61,7 @@ jobs:
     compute: ${{parent.inputs.compute_name}}
   automl_many_models_training_step: 
     type: parallel
-    component: azureml:automl_many_models_training_step:0.0.7
+    component: azureml:automl_many_models_training_step:0.0.8
     inputs:
       partitioned_data: ${{parent.jobs.automl_many_models_training_setup_step.outputs.processed_data}}
       metadata: ${{parent.jobs.automl_many_models_training_setup_step.outputs.metadata}}
@@ -84,7 +84,7 @@ jobs:
     compute: ${{parent.inputs.compute_name}}
   automl_many_models_training_collect_step: 
     type: command
-    component: azureml:automl_many_models_training_collection_step:0.0.7
+    component: azureml:automl_many_models_training_collection_step:0.0.8
     inputs:
       setup_metadata: ${{parent.jobs.automl_many_models_training_setup_step.outputs.metadata}}
       input_metadata: ${{parent.jobs.automl_many_models_training_step.outputs.output_metadata}}

diff --git a/...g_demand/automl-many-models-train/components/automl_many_model_training_collect/spec.yaml b/...g_demand/automl-many-models-train/components/automl_many_model_training_collect/spec.yaml
@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: automl_many_models_training_collection_step
-version: 0.0.7
+version: 0.0.8
 display_name: AutoML Many Models - Collection Training Results
 is_deterministic: false
 type: command
@@ -25,7 +25,7 @@ outputs:
 
 
 code: ../../src/collect
-environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+environment: azureml://registries/azureml/environments/automl-gpu/versions/42
 
 command: >-
   python collect.py 

diff --git a/...ing_demand/automl-many-models-train/components/automl_many_model_training_setup/spec.yaml b/...ing_demand/automl-many-models-train/components/automl_many_model_training_setup/spec.yaml
@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: automl_many_models_training_setup_step
-version: 0.0.7
+version: 0.0.8
 display_name: AutoML Many Models - Training Setup Step
 is_deterministic: false
 type: command
@@ -45,7 +45,7 @@ outputs:
     description: 'The processed data from train setup run.'
 
 code: ../../src/setup
-environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+environment: azureml://registries/azureml/environments/automl-gpu/versions/42
 
 command: >-
   python setup.py 

diff --git a/...training/forecasting_demand/automl-many-models-train/components/spark_partition/spec.yaml b/...training/forecasting_demand/automl-many-models-train/components/spark_partition/spec.yaml
@@ -3,7 +3,7 @@ name: automl_tabular_data_partitioning
 type: spark
 display_name: AutoML - Tabular Data Partitioning
 description: Enables dataset partitioning for AutoML many models and hierarchical timeseries solution accelerators using spark.
-version: 0.0.7
+version: 0.0.8
 is_deterministic: false
 
 code: ../../src/spark_partition/

diff --git a/...ng_demand/automl-many_models-inference/components/automl_many_model_inferencing/spec.yaml b/...ng_demand/automl-many_models-inference/components/automl_many_model_inferencing/spec.yaml
@@ -4,7 +4,7 @@ type: pipeline
 name: automl_many_models_inference
 display_name: AutoML Many Models - Inference
 description: Inference components for AutoML many model.
-version: 0.0.7
+version: 0.0.8
 is_deterministic: false
 
 inputs:
@@ -93,7 +93,7 @@ outputs:
 jobs:
   automl_many_models_inference_setup_step: 
     type: command
-    component: azureml:automl_many_models_inference_setup_step:0.0.7
+    component: azureml:automl_many_models_inference_setup_step:0.0.8
     inputs:
       raw_Data: ${{parent.inputs.raw_data}}
       enable_event_logger: True
@@ -120,7 +120,7 @@ jobs:
     compute: ${{parent.inputs.compute_name}}
   automl_many_models_inferencing_step: 
     type: parallel
-    component: azureml:automl_many_models_inference_step:0.0.7
+    component: azureml:automl_many_models_inference_step:0.0.8
     inputs:
       partitioned_data: ${{parent.jobs.automl_many_models_inference_setup_step.outputs.processed_data}}
       metadata: ${{parent.jobs.automl_many_models_inference_setup_step.outputs.metadata}}
@@ -145,7 +145,7 @@ jobs:
     compute: ${{parent.inputs.compute_name}}
   automl_many_models_inference_collect_step: 
     type: command
-    component: azureml:automl_many_models_inference_collect_step:0.0.7
+    component: azureml:automl_many_models_inference_collect_step:0.0.8
     inputs:
       setup_metadata: ${{parent.jobs.automl_many_models_inference_setup_step.outputs.metadata}}
       input_metadata: ${{parent.jobs.automl_many_models_inferencing_step.outputs.output_metadata}}

diff --git a/...g_demand/automl-many_models-inference/components/automl_many_models_collect_inf/spec.yaml b/...g_demand/automl-many_models-inference/components/automl_many_models_collect_inf/spec.yaml
@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: automl_many_models_inference_collect_step
-version: 0.0.7
+version: 0.0.8
 display_name: AutoML Many Models - Collection Inference Results
 is_deterministic: false
 type: command
@@ -33,7 +33,7 @@ outputs:
     description: 'jsonl used for evaluation components.'
 
 code: ../src/collect
-environment: azureml://registries/azureml/environments/automl-gpu/labels/latest
+environment: azureml://registries/azureml/environments/automl-gpu/versions/42
 
 command: >-
   python collect.py