Mltransform Criteo 10GB perf test

[AnandInguva]

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[AnandInguva]

https://github.com/apache/beam/actions/runs/7191759283/job/19604271438 - successful run.

MLTransform - https://pantheon.corp.google.com/dataflow/jobs/us-central1/2023-12-13_07_32_17-4151282941601198289;step=ref_AppliedPTransform_Map-lambda-at-criteo-py-98-_11;graphView=0?project=apache-beam-testing&pageState=(%22dfTime%22:(%22l%22:%22dfJobMaxTime%22))&e=13802955&mods=-ai_platform_fake_service,ai_platform_staging_service

TFT - https://pantheon.corp.google.com/dataflow/jobs/us-central1/2023-12-12_23_03_42-286055797994519897;step=DecodeForTransform%2FRawRecordBeamSource;mainTab=JOB_GRAPH;graphView=0?project=apache-beam-testing&pageState=(%22dfTime%22:(%22l%22:%22dfJobMaxTime%22))&e=13802955&mods=-ai_platform_fake_service,ai_platform_staging_service

Both are not apples to apples comparison but we can gain some insights and any potential improvements. I will see if batching elements works.

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