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Update dependency google-cloud-aiplatform to v1.38.1

Ghost User requested to merge renovate/google-cloud-aiplatform-1.x-lockfile into main

This MR contains the following updates:

Package Type Update Change
google-cloud-aiplatform dependencies minor 1.35.0 -> 1.38.1

Release Notes

googleapis/python-aiplatform (google-cloud-aiplatform)

v1.38.1

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Features
  • Adding serving_container_grpc_ports parameter to Model.upload() method (6a00ed7)
  • LLM - Added support for model distillation (28925e9)
  • Support CMEK for scheduled pipeline jobs. (406595d)
Miscellaneous Chores

v1.38.0

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Features
  • Release GenerativeModel support for Gemini (cd233ef)
  • Add explicit constraints for update_ray_cluster (979a4f3)
  • Check if dataset exists before creation for Ray on Vertex BigQuery Write (544d6fe)
  • LLM - Added support for the logprobs, presence_penalty, frequency_penalty, and logit_bias generation parameters (1449344)
  • Support read_index_datapoints for private network. (c9f7119)
  • Support custom batch size for Bigframes Tensorflow (7dc8771)
  • Update the v1 service definition to add numeric_restricts. (d0c2ffa)
  • Verify client and cluster Ray versions match (10c6ad2)
Bug Fixes
  • read_index_endpoint private endpoint support. (3d8835e)
  • Fix exception message to use vertexai when project is not provided. (0cb1a7b)
  • Update test assumption for streaming endpoint of chat-bison@001 (f9a5b69)
  • When user is not logged in, throw more intuitive message (a8b24ad)
Documentation
  • Add default value to optional field parameter_values (0a4d772)

v1.37.0

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Features
  • Add additional parameters to Model.upload(). (7b7d7d2)
  • Adding support for concurrent explanations (8e2ad75)
  • Allow configuring container logging settings on models when deploying. (beae48f)
  • Support user provided api endpoint. (92f2b4e)
  • Add grpc_ports to UploadModel ModelContainerSpec, add DirectPredict, DirectRawPredict, StreamingPredict, StreamingRawPredict to PredictionService. (6dfbad7)
Bug Fixes
  • Clarify wording when Ray on Vertex cluster is missing head node ip (4a71c8c)
  • Fix error when allowed_plugins is set to None. (6f2860a)
  • Fixed INTEGER and BOOL parameters casting issue. Fix conversion bug where INTEGER and BOOL parameters are not cast to the correct type. (9a204c4)
  • Make PipelineJobSchedule propagate labels to created PipelineJobs (a34533f)
Documentation
  • Add upload Tensorboard profile log to Experiment sample. (5780513)
  • Update the documentation for the image_dataset class (8562368)

v1.36.4

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Features
  • Add numeric_restricts to MatchingEngineIndex find_neighbors() for querying (6c1f2cc)
  • Add remove_datapoints() to MatchingEngineIndex. (b86a404)
  • Add upsert_datapoints() to MatchingEngineIndex to support streaming update index. (7ca484d)
  • LLM - include error code into blocked response from TextGenerationModel, ChatModel, CodeChatMode, and CodeGenerationModel. (1f81cf2)
  • Populate Ray Cluster dashboard_address from proto field (dd4b852)
  • add CountTokens API, ComputeTokens API, and ModelContainerSpec features (ba2fb39)
Bug Fixes
  • Add check for empty encryption_spec_key_name for MatchingEngineIndexEndpoint create. (7740132)
  • Fix server error due to no encryption_spec_key_name in MatchingEngineIndex create_tree_ah_index and create_brute_force_index (595b580)
Miscellaneous Chores

v1.36.3

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Features
  • Add option to not use default tensorboard (a25c669)
  • Add preview HyperparameterTuningJob which can be run on persistent resource (0da8c53)
  • Add Featurestore Bigtable Serving, Feature Registry v1, November bulk GAPIC release (9f46f7c)
Documentation
  • Fix documentation for obsolete link to GCS formatting (95184de)
Miscellaneous Chores

v1.36.2

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Features
  • Add encryption_spec_key_name to MatchingEngineIndex create_tree_ah_index and (1a9e36f)
  • Add encryption_spec_key_name, enable_private_service_connect,project_allowlist to MatchingEngineIndexEndpoint create. (750e17b)
  • Add index_update_method to MatchingEngineIndex create() (dcb6205)
  • Expose max_retry_cnt parameter for Ray on Vertex BigQuery write (568907c)
  • LLM - Grounding - Added support for the disable_attribution grounding parameter (91e985a)
  • LLM - Support model evaluation when tuning chat models (ChatModel, CodeChatModel) (755c3f9)
  • LVM - Added multi-language support for ImageGenerationModel (791eff5)
Bug Fixes
  • Async call bug in CodeChatModel.send_message_async method (fcf05cb)
Documentation
  • Add Bigframes remote training example to vertexai README (8b993b3)
  • Update the documentation for the tabular_dataset class (6f40f1b)
Miscellaneous Chores

v1.36.1

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Features
  • Add per_crowding_attribute_neighbor_count, approx_num_neighbors, fraction_leaf_nodes_to_search_override, and return_full_datapoint to MatchingEngineIndexEndpoint find_neighbors (33c551e)
  • Add profiler support to tensorboard uploader sdk (be1df7f)
  • Add support for per_crowding_attribute_num_neighbors approx_num_neighborsto MatchingEngineIndexEndpoint match() (e5c20c3)
  • Add support for per_crowding_attribute_num_neighbors approx_num_neighborsto MatchingEngineIndexEndpoint match() (53d31b5)
  • Add support for per_crowding_attribute_num_neighbors approx_num_neighborsto MatchingEngineIndexEndpoint match() (4e357d5)
  • Enable grounding to ChatModel send_message and send_message_async methods (d4667f2)
  • Enable grounding to TextGenerationModel predict and predict_async methods (b0b4e6b)
  • LLM - Added support for the enable_checkpoint_selection tuning evaluation parameter (eaf4420)
  • LLM - Added tuning support for the *-bison-32k models (9eba18f)
  • LLM - Released CodeChatModel tuning to GA (621af52)
Bug Fixes
  • Correct class name in system test (b822b57)
Documentation
  • Clean up RoV create_ray_cluster docstring (1473e19)
Miscellaneous Chores

v1.36.0

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Features
  • Add preview count_tokens method to CodeGenerationModel (96e7f7d)
  • Allow the users to use extra serialization arguments for objects. (ffbd872)
  • Also support unhashable objects to be serialized with extra args (77a741e)
  • LLM - Added count_tokens support to ChatModel (preview) (01989b1)
  • LLM - Added new regions for tuning and tuned model inference (3d43497)
  • LLM - Added support for async streaming (760a025)
  • LLM - Added support for multiple response candidates in code chat models (598d57d)
  • LLM - Added support for multiple response candidates in code generation models (0c371a4)
  • LLM - Enable tuning eval TensorBoard without evaluation data (eaf5d81)
  • LLM - Released CodeGenerationModel tuning to GA (87dfe40)
  • LLM - Support accelerator_type in tuning (98ab2f9)
  • Support experiment autologging when using persistent cluster as executor (c19b6c3)
  • Upgrade BigQuery Datasource to use write() interface (7944348)
Bug Fixes
  • Adding setuptools to dependencies for Python 3.12 and above. (afd540d)
  • Fix Bigframes tensorflow serializer dependencies (b4cdb05)
  • LLM - Fixed the async streaming (41bfcb6)
  • LLM - Make tuning use the global staging bucket if specified (d9ced10)
  • LVM - Fixed negative prompt in ImageGenerationModel (cbe3a0d)
  • Made the Endpoint prediction client initialization lazy (eb6071f)
  • Make sure PipelineRuntimeConfigBuilder is created with the right arguments (ad19838)
  • Make sure the models list is populated before indexing (f1659e8)
  • Raise exception for RoV BQ Write for too many rate limit exceeded (7e09529)
  • Rollback BigQuery Datasource to use do_write() interface (dc1b82a)

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Edited by Ghost User

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