chore(deps): bump the pip group across 5 directories with 2 updates

[dependabot]

Bumps the pip group with 1 update in the /composer/2022_airflow_summit directory: apache-airflow.
Bumps the pip group with 1 update in the /composer/cicd_sample directory: apache-airflow.
Bumps the pip group with 1 update in the /composer/workflows directory: apache-airflow.
Bumps the pip group with 1 update in the /dataflow/run-inference directory: transformers.
Bumps the pip group with 1 update in the /people-and-planet-ai/weather-forecasting/serving/weather-model directory: transformers.

Updates apache-airflow from 2.8.0 to 2.9.0

Release notes

Sourced from apache-airflow's releases.

Apache Airflow 2.9.0

Significant Changes

Following Listener API methods are considered stable and can be used for production system (were experimental feature in older Airflow versions) (#36376):

Lifecycle events:

• on_starting
• before_stopping

DagRun State Change Events:

• on_dag_run_running
• on_dag_run_success
• on_dag_run_failed

TaskInstance State Change Events:

• on_task_instance_running
• on_task_instance_success
• on_task_instance_failed

Support for Microsoft SQL-Server for Airflow Meta Database has been removed (#36514)

After discussion <https://lists.apache.org/thread/r06j306hldg03g2my1pd4nyjxg78b3h4>__ and a voting process <https://lists.apache.org/thread/pgcgmhf6560k8jbsmz8nlyoxosvltph2>__, the Airflow's PMC and Committers have reached a resolution to no longer maintain MsSQL as a supported Database Backend.

As of Airflow 2.9.0 support of MsSQL has been removed for Airflow Database Backend.

A migration script which can help migrating the database before upgrading to Airflow 2.9.0 is available in airflow-mssql-migration repo on Github <https://github.com/apache/airflow-mssql-migration>_. Note that the migration script is provided without support and warranty.

This does not affect the existing provider packages (operators and hooks), DAGs can still access and process data from MsSQL.

Dataset URIs are now validated on input (#37005)

Datasets must use a URI that conform to rules laid down in AIP-60, and the value will be automatically normalized when the DAG file is parsed. See documentation on Datasets <https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/datasets.html>_ for a more detailed description on the rules.

You may need to change your Dataset identifiers if they look like a URI, but are used in a less mainstream way, such as relying on the URI's auth section, or have a case-sensitive protocol name.

The method get_permitted_menu_items in BaseAuthManager has been renamed filter_permitted_menu_items (#37627)

Add REST API actions to Audit Log events (#37734)

... (truncated)

Changelog

Sourced from apache-airflow's changelog.

Airflow 2.9.0 (2024-04-08)

Significant Changes ^^^^^^^^^^^^^^^^^^^

Following Listener API methods are considered stable and can be used for production system (were experimental feature in older Airflow versions) (#36376): """""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""" Lifecycle events:

• on_starting
• before_stopping

DagRun State Change Events:

• on_dag_run_running
• on_dag_run_success
• on_dag_run_failed

TaskInstance State Change Events:

• on_task_instance_running
• on_task_instance_success
• on_task_instance_failed

Support for Microsoft SQL-Server for Airflow Meta Database has been removed (#36514) """"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""

After discussion <https://lists.apache.org/thread/r06j306hldg03g2my1pd4nyjxg78b3h4>__ and a voting process <https://lists.apache.org/thread/pgcgmhf6560k8jbsmz8nlyoxosvltph2>__, the Airflow's PMC and Committers have reached a resolution to no longer maintain MsSQL as a supported Database Backend.

As of Airflow 2.9.0 support of MsSQL has been removed for Airflow Database Backend.

A migration script which can help migrating the database before upgrading to Airflow 2.9.0 is available in airflow-mssql-migration repo on Github <https://github.com/apache/airflow-mssql-migration>_. Note that the migration script is provided without support and warranty.

This does not affect the existing provider packages (operators and hooks), DAGs can still access and process data from MsSQL.

Dataset URIs are now validated on input (#37005) """"""""""""""""""""""""""""""""""""""""""""""""

Datasets must use a URI that conform to rules laid down in AIP-60, and the value will be automatically normalized when the DAG file is parsed. See documentation on Datasets <https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/datasets.html>_ for a more detailed description on the rules.

You may need to change your Dataset identifiers if they look like a URI, but are used in a less mainstream way, such as relying on the URI's auth section, or

... (truncated)

Commits

• 50f22ff fixup! fixup! Update RELEASE_NOTES.rst
• 3a9391c Update hatchling to latest version (1.22.5) (#38780)
• 35684a8 Rename pre-commit scripts, drop pre_commit_ prefix (#38667)
• b38575a fixup! Update RELEASE_NOTES.rst
• a3eb5f7 Load providers configuration when gunicorn workers start (#38795)
• 920921e Update RELEASE_NOTES.rst
• cbe61bc Fix decryption of trigger kwargs when downgrading. (#38743)
• 1fdfaf3 Edited timetable docs (#38505)
• 0518eba Fix grid header rendering (#38720)
• 0961e42 Reorder OpenAPI Spec tags alphabetically (#38717)
• Additional commits viewable in compare view

Updates apache-airflow from 2.8.0 to 2.9.0

Release notes

Sourced from apache-airflow's releases.

Apache Airflow 2.9.0

Significant Changes

Following Listener API methods are considered stable and can be used for production system (were experimental feature in older Airflow versions) (#36376):

Lifecycle events:

• on_starting
• before_stopping

DagRun State Change Events:

• on_dag_run_running
• on_dag_run_success
• on_dag_run_failed

TaskInstance State Change Events:

• on_task_instance_running
• on_task_instance_success
• on_task_instance_failed

Support for Microsoft SQL-Server for Airflow Meta Database has been removed (#36514)

After discussion <https://lists.apache.org/thread/r06j306hldg03g2my1pd4nyjxg78b3h4>__ and a voting process <https://lists.apache.org/thread/pgcgmhf6560k8jbsmz8nlyoxosvltph2>__, the Airflow's PMC and Committers have reached a resolution to no longer maintain MsSQL as a supported Database Backend.

As of Airflow 2.9.0 support of MsSQL has been removed for Airflow Database Backend.

A migration script which can help migrating the database before upgrading to Airflow 2.9.0 is available in airflow-mssql-migration repo on Github <https://github.com/apache/airflow-mssql-migration>_. Note that the migration script is provided without support and warranty.

This does not affect the existing provider packages (operators and hooks), DAGs can still access and process data from MsSQL.

Dataset URIs are now validated on input (#37005)

Datasets must use a URI that conform to rules laid down in AIP-60, and the value will be automatically normalized when the DAG file is parsed. See documentation on Datasets <https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/datasets.html>_ for a more detailed description on the rules.

You may need to change your Dataset identifiers if they look like a URI, but are used in a less mainstream way, such as relying on the URI's auth section, or have a case-sensitive protocol name.

The method get_permitted_menu_items in BaseAuthManager has been renamed filter_permitted_menu_items (#37627)

Add REST API actions to Audit Log events (#37734)

... (truncated)

Changelog

Sourced from apache-airflow's changelog.

Airflow 2.9.0 (2024-04-08)

Significant Changes ^^^^^^^^^^^^^^^^^^^

Following Listener API methods are considered stable and can be used for production system (were experimental feature in older Airflow versions) (#36376): """""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""" Lifecycle events:

• on_starting
• before_stopping

DagRun State Change Events:

• on_dag_run_running
• on_dag_run_success
• on_dag_run_failed

TaskInstance State Change Events:

• on_task_instance_running
• on_task_instance_success
• on_task_instance_failed

Support for Microsoft SQL-Server for Airflow Meta Database has been removed (#36514) """"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""

After discussion <https://lists.apache.org/thread/r06j306hldg03g2my1pd4nyjxg78b3h4>__ and a voting process <https://lists.apache.org/thread/pgcgmhf6560k8jbsmz8nlyoxosvltph2>__, the Airflow's PMC and Committers have reached a resolution to no longer maintain MsSQL as a supported Database Backend.

As of Airflow 2.9.0 support of MsSQL has been removed for Airflow Database Backend.

A migration script which can help migrating the database before upgrading to Airflow 2.9.0 is available in airflow-mssql-migration repo on Github <https://github.com/apache/airflow-mssql-migration>_. Note that the migration script is provided without support and warranty.

This does not affect the existing provider packages (operators and hooks), DAGs can still access and process data from MsSQL.

Dataset URIs are now validated on input (#37005) """"""""""""""""""""""""""""""""""""""""""""""""

Datasets must use a URI that conform to rules laid down in AIP-60, and the value will be automatically normalized when the DAG file is parsed. See documentation on Datasets <https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/datasets.html>_ for a more detailed description on the rules.

You may need to change your Dataset identifiers if they look like a URI, but are used in a less mainstream way, such as relying on the URI's auth section, or

... (truncated)

Commits

• 50f22ff fixup! fixup! Update RELEASE_NOTES.rst
• 3a9391c Update hatchling to latest version (1.22.5) (#38780)
• 35684a8 Rename pre-commit scripts, drop pre_commit_ prefix (#38667)
• b38575a fixup! Update RELEASE_NOTES.rst
• a3eb5f7 Load providers configuration when gunicorn workers start (#38795)
• 920921e Update RELEASE_NOTES.rst
• cbe61bc Fix decryption of trigger kwargs when downgrading. (#38743)
• 1fdfaf3 Edited timetable docs (#38505)
• 0518eba Fix grid header rendering (#38720)
• 0961e42 Reorder OpenAPI Spec tags alphabetically (#38717)
• Additional commits viewable in compare view

Updates apache-airflow from 2.8.0 to 2.9.0

Release notes

Sourced from apache-airflow's releases.

Apache Airflow 2.9.0

Significant Changes

Following Listener API methods are considered stable and can be used for production system (were experimental feature in older Airflow versions) (#36376):

Lifecycle events:

• on_starting
• before_stopping

DagRun State Change Events:

• on_dag_run_running
• on_dag_run_success
• on_dag_run_failed

TaskInstance State Change Events:

• on_task_instance_running
• on_task_instance_success
• on_task_instance_failed

Support for Microsoft SQL-Server for Airflow Meta Database has been removed (#36514)

After discussion <https://lists.apache.org/thread/r06j306hldg03g2my1pd4nyjxg78b3h4>__ and a voting process <https://lists.apache.org/thread/pgcgmhf6560k8jbsmz8nlyoxosvltph2>__, the Airflow's PMC and Committers have reached a resolution to no longer maintain MsSQL as a supported Database Backend.

As of Airflow 2.9.0 support of MsSQL has been removed for Airflow Database Backend.

A migration script which can help migrating the database before upgrading to Airflow 2.9.0 is available in airflow-mssql-migration repo on Github <https://github.com/apache/airflow-mssql-migration>_. Note that the migration script is provided without support and warranty.

This does not affect the existing provider packages (operators and hooks), DAGs can still access and process data from MsSQL.

Dataset URIs are now validated on input (#37005)

Datasets must use a URI that conform to rules laid down in AIP-60, and the value will be automatically normalized when the DAG file is parsed. See documentation on Datasets <https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/datasets.html>_ for a more detailed description on the rules.

You may need to change your Dataset identifiers if they look like a URI, but are used in a less mainstream way, such as relying on the URI's auth section, or have a case-sensitive protocol name.

The method get_permitted_menu_items in BaseAuthManager has been renamed filter_permitted_menu_items (#37627)

Add REST API actions to Audit Log events (#37734)

... (truncated)

Changelog

Sourced from apache-airflow's changelog.

Airflow 2.9.0 (2024-04-08)

Significant Changes ^^^^^^^^^^^^^^^^^^^

Following Listener API methods are considered stable and can be used for production system (were experimental feature in older Airflow versions) (#36376): """""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""" Lifecycle events:

• on_starting
• before_stopping

DagRun State Change Events:

• on_dag_run_running
• on_dag_run_success
• on_dag_run_failed

TaskInstance State Change Events:

• on_task_instance_running
• on_task_instance_success
• on_task_instance_failed

Support for Microsoft SQL-Server for Airflow Meta Database has been removed (#36514) """"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""

After discussion <https://lists.apache.org/thread/r06j306hldg03g2my1pd4nyjxg78b3h4>__ and a voting process <https://lists.apache.org/thread/pgcgmhf6560k8jbsmz8nlyoxosvltph2>__, the Airflow's PMC and Committers have reached a resolution to no longer maintain MsSQL as a supported Database Backend.

As of Airflow 2.9.0 support of MsSQL has been removed for Airflow Database Backend.

A migration script which can help migrating the database before upgrading to Airflow 2.9.0 is available in airflow-mssql-migration repo on Github <https://github.com/apache/airflow-mssql-migration>_. Note that the migration script is provided without support and warranty.

This does not affect the existing provider packages (operators and hooks), DAGs can still access and process data from MsSQL.

Dataset URIs are now validated on input (#37005) """"""""""""""""""""""""""""""""""""""""""""""""

Datasets must use a URI that conform to rules laid down in AIP-60, and the value will be automatically normalized when the DAG file is parsed. See documentation on Datasets <https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/datasets.html>_ for a more detailed description on the rules.

You may need to change your Dataset identifiers if they look like a URI, but are used in a less mainstream way, such as relying on the URI's auth section, or

... (truncated)

Commits

• 50f22ff fixup! fixup! Update RELEASE_NOTES.rst
• 3a9391c Update hatchling to latest version (1.22.5) (#38780)
• 35684a8 Rename pre-commit scripts, drop pre_commit_ prefix (#38667)
• b38575a fixup! Update RELEASE_NOTES.rst
• a3eb5f7 Load providers configuration when gunicorn workers start (#38795)
• 920921e Update RELEASE_NOTES.rst
• cbe61bc Fix decryption of trigger kwargs when downgrading. (#38743)
• 1fdfaf3 Edited timetable docs (#38505)
• 0518eba Fix grid header rendering (#38720)
• 0961e42 Reorder OpenAPI Spec tags alphabetically (#38717)
• Additional commits viewable in compare view

Updates transformers from 4.36.0 to 4.38.0

Release notes

Sourced from transformers's releases.

v4.38: Gemma, Depth Anything, Stable LM; Static Cache, HF Quantizer, AQLM

New model additions

💎 Gemma 💎

Gemma is a new opensource Language Model series from Google AI that comes with a 2B and 7B variant. The release comes with the pre-trained and instruction fine-tuned versions and you can use them via AutoModelForCausalLM, GemmaForCausalLM or pipeline interface!

Read more about it in the Gemma release blogpost: https://hf.co/blog/gemma

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained("google/gemma-2b", device_map="auto", torch_dtype=torch.float16)
input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**input_ids)

You can use the model with Flash Attention, SDPA, Static cache and quantization API for further optimizations !

• Flash Attention 2

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained(
"google/gemma-2b", device_map="auto", torch_dtype=torch.float16, attn_implementation="flash_attention_2"
)
input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**input_ids)

• bitsandbytes-4bit

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained(
"google/gemma-2b", device_map="auto", load_in_4bit=True
)
</tr></table>

... (truncated)

Commits

• 08ab54a [ gemma] Adds support for Gemma 💎 (#29167)
• 2de9314 [Maskformer] safely get backbone config (#29166)
• 476957b 🚨 Llama: update rope scaling to match static cache changes (#29143)
• 7a4bec6 Release: 4.38.0
• ee3af60 Add support for fine-tuning CLIP-like models using contrastive-image-text exa...
• 0996a10 Revert low cpu mem tie weights (#29135)
• 15cfe38 [Core tokenization] add_dummy_prefix_space option to help with latest is...
• efdd436 FIX [PEFT / Trainer ] Handle better peft + quantized compiled models (#29...
• 5e95dca [cuda kernels] only compile them when initializing (#29133)
• a7755d2 Generate: unset GenerationConfig parameters do not raise warning (#29119)
• Additional commits viewable in compare view

Updates transformers from 4.36.0 to 4.38.0

Release notes

Sourced from transformers's releases.

v4.38: Gemma, Depth Anything, Stable LM; Static Cache, HF Quantizer, AQLM

New model additions

💎 Gemma 💎

Gemma is a new opensource Language Model series from Google AI that comes with a 2B and 7B variant. The release comes with the pre-trained and instruction fine-tuned versions and you can use them via AutoModelForCausalLM, GemmaForCausalLM or pipeline interface!

Read more about it in the Gemma release blogpost: https://hf.co/blog/gemma

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained("google/gemma-2b", device_map="auto", torch_dtype=torch.float16)
input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**input_ids)

You can use the model with Flash Attention, SDPA, Static cache and quantization API for further optimizations !

• Flash Attention 2

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained(
"google/gemma-2b", device_map="auto", torch_dtype=torch.float16, attn_implementation="flash_attention_2"
)
input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**input_ids)

• bitsandbytes-4bit

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained(
"google/gemma-2b", device_map="auto", load_in_4bit=True
)
</tr></table>

... (truncated)

Commits

• 08ab54a [ gemma] Adds support for Gemma 💎 (#29167)
• 2de9314 [Maskformer] safely get backbone config (#29166)
• 476957b 🚨 Llama: update rope scaling to match static cache changes (#29143)
• 7a4bec6 Release: 4.38.0
• ee3af60 Add support for fine-tuning CLIP-like models using contrastive-image-text exa...
• 0996a10 Revert low cpu mem tie weights (#29135)
• 15cfe38 [Core tokenization] add_dummy_prefix_space option to help with latest is...
• efdd436 FIX [PEFT / Trainer ] Handle better peft + quantized compiled models (#29...
• 5e95dca [cuda kernels] only compile them when initializing (#29133)
• a7755d2 Generate: unset GenerationConfig parameters do not raise warning (#29119)
• Additional commits viewable in compare view

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