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Adding distributed components
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Anubha Jain committed Jan 16, 2025
1 parent de38878 commit 0ef97ed
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: chat_completion_finetune
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: question_answering_finetune
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: summarization_finetune
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: text_classification_finetune
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: false
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: text_generation_finetune
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: token_classification_finetune
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: false
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: translation_finetune
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: ft_nlp_model_converter
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: chat_completion_model_import
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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@@ -1,6 +1,6 @@
$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: question_answering_model_import
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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@@ -1,6 +1,6 @@
$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: summarization_model_import
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: text_classification_model_import
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: text_generation_model_import
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: token_classification_model_import
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
name: translation_model_import
version: 0.0.66
version: 0.0.67
type: command

is_deterministic: True
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$schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
name: chat_completion_pipeline
version: 0.0.68
version: 0.0.69
type: pipeline
display_name: Chat Completion Pipeline
description: Pipeline Component to finetune Hugging Face pretrained models for chat completion task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/chat_completion_pipeline) to learn more.
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jobs:
ft_nlp_common_validation:
type: command
component: azureml:ft_nlp_common_validation:0.0.66
component: azureml:ft_nlp_common_validation:0.0.67
compute: '${{parent.inputs.compute_model_import}}'
resources:
instance_type: '${{parent.inputs.instance_type_model_import}}'
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auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
chat_completion_model_import:
type: command
component: azureml:chat_completion_model_import:0.0.66
component: azureml:chat_completion_model_import:0.0.67
compute: '${{parent.inputs.compute_model_import}}'
resources:
instance_type: '${{parent.inputs.instance_type_model_import}}'
Expand All @@ -543,7 +543,7 @@ jobs:
validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
chat_completion_datapreprocess:
type: command
component: azureml:chat_completion_datapreprocess:0.0.66
component: azureml:chat_completion_datapreprocess:0.0.67
compute: '${{parent.inputs.compute_preprocess}}'
resources:
instance_type: '${{parent.inputs.instance_type_preprocess}}'
Expand All @@ -560,7 +560,7 @@ jobs:
model_selector_output: '${{parent.jobs.chat_completion_model_import.outputs.output_dir}}'
chat_completion_finetune:
type: command
component: azureml:chat_completion_finetune:0.0.66
component: azureml:chat_completion_finetune:0.0.67
compute: '${{parent.inputs.compute_finetune}}'
distribution:
type: pytorch
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# mlflow_model_folder: '${{parent.outputs.mlflow_model_folder}}'
ft_nlp_model_converter:
type: command
component: azureml:ft_nlp_model_converter:0.0.66
component: azureml:ft_nlp_model_converter:0.0.67
compute: '${{parent.inputs.compute_finetune}}'
resources:
instance_type: '${{parent.inputs.instance_type_finetune}}'
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$schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
name: question_answering_pipeline
version: 0.0.68
version: 0.0.69
type: pipeline
display_name: Question Answering Pipeline
description: Pipeline Component to finetune Hugging Face pretrained models for extractive question answering task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/question_answering_pipeline) to learn more.
Expand Down Expand Up @@ -541,7 +541,7 @@ outputs:
jobs:
ft_nlp_common_validation:
type: command
component: azureml:ft_nlp_common_validation:0.0.66
component: azureml:ft_nlp_common_validation:0.0.67
compute: '${{parent.inputs.compute_model_import}}'
resources:
instance_type: '${{parent.inputs.instance_type_model_import}}'
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auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
question_answering_model_import:
type: command
component: azureml:question_answering_model_import:0.0.66
component: azureml:question_answering_model_import:0.0.67
compute: '${{parent.inputs.compute_model_import}}'
resources:
instance_type: '${{parent.inputs.instance_type_model_import}}'
Expand All @@ -589,7 +589,7 @@ jobs:
validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
question_answering_datapreprocess:
type: command
component: azureml:question_answering_datapreprocess:0.0.66
component: azureml:question_answering_datapreprocess:0.0.67
compute: '${{parent.inputs.compute_preprocess}}'
resources:
instance_type: '${{parent.inputs.instance_type_preprocess}}'
Expand All @@ -614,7 +614,7 @@ jobs:
model_selector_output: '${{parent.jobs.question_answering_model_import.outputs.output_dir}}'
question_answering_finetune:
type: command
component: azureml:question_answering_finetune:0.0.66
component: azureml:question_answering_finetune:0.0.67
compute: '${{parent.inputs.compute_finetune}}'
distribution:
type: pytorch
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pytorch_model_folder: '${{parent.outputs.pytorch_model_folder}}'
ft_nlp_model_converter:
type: command
component: azureml:ft_nlp_model_converter:0.0.66
component: azureml:ft_nlp_model_converter:0.0.67
compute: '${{parent.inputs.compute_finetune}}'
resources:
instance_type: '${{parent.inputs.instance_type_finetune}}'
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$schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
name: summarization_pipeline
version: 0.0.68
version: 0.0.69
type: pipeline
display_name: Summarization Pipeline
description: Pipeline Component to finetune Hugging Face pretrained models for summarization task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/summarization_pipeline) to learn more.
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jobs:
ft_nlp_common_validation:
type: command
component: azureml:ft_nlp_common_validation:0.0.66
component: azureml:ft_nlp_common_validation:0.0.67
compute: '${{parent.inputs.compute_model_import}}'
resources:
instance_type: '${{parent.inputs.instance_type_model_import}}'
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auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
summarization_model_import:
type: command
component: azureml:summarization_model_import:0.0.66
component: azureml:summarization_model_import:0.0.67
compute: '${{parent.inputs.compute_model_import}}'
resources:
instance_type: '${{parent.inputs.instance_type_model_import}}'
Expand All @@ -560,7 +560,7 @@ jobs:
validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
summarization_datapreprocess:
type: command
component: azureml:summarization_datapreprocess:0.0.66
component: azureml:summarization_datapreprocess:0.0.67
compute: '${{parent.inputs.compute_preprocess}}'
resources:
instance_type: '${{parent.inputs.instance_type_preprocess}}'
Expand All @@ -580,7 +580,7 @@ jobs:
model_selector_output: '${{parent.jobs.summarization_model_import.outputs.output_dir}}'
summarization_finetune:
type: command
component: azureml:summarization_finetune:0.0.66
component: azureml:summarization_finetune:0.0.67
compute: '${{parent.inputs.compute_finetune}}'
distribution:
type: pytorch
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pytorch_model_folder: '${{parent.outputs.pytorch_model_folder}}'
ft_nlp_model_converter:
type: command
component: azureml:ft_nlp_model_converter:0.0.66
component: azureml:ft_nlp_model_converter:0.0.67
compute: '${{parent.inputs.compute_finetune}}'
resources:
instance_type: '${{parent.inputs.instance_type_finetune}}'
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$schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
name: text_classification_pipeline
version: 0.0.68
version: 0.0.69
type: pipeline
display_name: Text Classification Pipeline
description: Pipeline component to finetune Hugging Face pretrained models for text classification task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/text_classification_pipeline) to learn more.
Expand Down Expand Up @@ -514,7 +514,7 @@ outputs:
jobs:
ft_nlp_common_validation:
type: command
component: azureml:ft_nlp_common_validation:0.0.66
component: azureml:ft_nlp_common_validation:0.0.67
compute: '${{parent.inputs.compute_model_import}}'
resources:
instance_type: '${{parent.inputs.instance_type_model_import}}'
Expand Down Expand Up @@ -551,7 +551,7 @@ jobs:
auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
text_classification_model_import:
type: command
component: azureml:text_classification_model_import:0.0.66
component: azureml:text_classification_model_import:0.0.67
compute: '${{parent.inputs.compute_model_import}}'
resources:
instance_type: '${{parent.inputs.instance_type_model_import}}'
Expand All @@ -562,7 +562,7 @@ jobs:
validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
text_classification_datapreprocess:
type: command
component: azureml:text_classification_datapreprocess:0.0.66
component: azureml:text_classification_datapreprocess:0.0.67
compute: '${{parent.inputs.compute_preprocess}}'
resources:
instance_type: '${{parent.inputs.instance_type_preprocess}}'
Expand All @@ -583,7 +583,7 @@ jobs:
model_selector_output: '${{parent.jobs.text_classification_model_import.outputs.output_dir}}'
text_classification_finetune:
type: command
component: azureml:text_classification_finetune:0.0.66
component: azureml:text_classification_finetune:0.0.67
compute: '${{parent.inputs.compute_finetune}}'
distribution:
type: pytorch
Expand Down Expand Up @@ -640,7 +640,7 @@ jobs:
pytorch_model_folder: '${{parent.outputs.pytorch_model_folder}}'
ft_nlp_model_converter:
type: command
component: azureml:ft_nlp_model_converter:0.0.66
component: azureml:ft_nlp_model_converter:0.0.67
compute: '${{parent.inputs.compute_finetune}}'
resources:
instance_type: '${{parent.inputs.instance_type_finetune}}'
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$schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
name: text_generation_pipeline
version: 0.0.68
version: 0.0.69
type: pipeline
display_name: Text Generation Pipeline
description: Pipeline component for text generation
Expand Down Expand Up @@ -528,7 +528,7 @@ outputs:
jobs:
ft_nlp_common_validation:
type: command
component: azureml:ft_nlp_common_validation:0.0.66
component: azureml:ft_nlp_common_validation:0.0.67
compute: '${{parent.inputs.compute_model_import}}'
resources:
instance_type: '${{parent.inputs.instance_type_model_import}}'
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auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
text_generation_model_import:
type: command
component: azureml:text_generation_model_import:0.0.66
component: azureml:text_generation_model_import:0.0.67
compute: '${{parent.inputs.compute_model_import}}'
resources:
instance_type: '${{parent.inputs.instance_type_model_import}}'
Expand All @@ -578,7 +578,7 @@ jobs:
system_properties: '${{parent.inputs.system_properties}}'
text_generation_datapreprocess:
type: command
component: azureml:text_generation_datapreprocess:0.0.66
component: azureml:text_generation_datapreprocess:0.0.67
compute: '${{parent.inputs.compute_preprocess}}'
resources:
instance_type: '${{parent.inputs.instance_type_preprocess}}'
Expand All @@ -598,7 +598,7 @@ jobs:
system_properties: '${{parent.inputs.system_properties}}'
text_generation_finetune:
type: command
component: azureml:text_generation_finetune:0.0.66
component: azureml:text_generation_finetune:0.0.67
compute: '${{parent.inputs.compute_finetune}}'
distribution:
type: pytorch
Expand Down Expand Up @@ -656,7 +656,7 @@ jobs:
pytorch_model_folder: '${{parent.outputs.pytorch_model_folder}}'
ft_nlp_model_converter:
type: command
component: azureml:ft_nlp_model_converter:0.0.66
component: azureml:ft_nlp_model_converter:0.0.67
compute: '${{parent.inputs.compute_finetune}}'
resources:
instance_type: '${{parent.inputs.instance_type_finetune}}'
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