Fix 36181 cloudml benchmarks job (#37803)

* Pin cloudml benchmark deps to avoid pip resolution-too-deep on Dataflow

* Reduce Dataflow inactivity timeout risk for TFT CloudML benchmark

* Tighten CloudML TFT benchmark requirements

* focus fix on dependency bounds only

Author: aIbrahiim

.github/workflows/load-tests-pipeline-options/beam_CloudML_Benchmarks_Dataflow_arguments.txt

@@ -20,4 +20,4 @@
 --staging_location=gs://temp-storage-for-perf-tests/loadtests
 --temp_location=gs://temp-storage-for-perf-tests/loadtests
 --runner=DataflowRunner
---requirements_file=apache_beam/testing/benchmarks/cloudml/requirements.txt
+--requirements_file=apache_beam/testing/benchmarks/cloudml/requirements.txt

sdks/python/apache_beam/testing/benchmarks/cloudml/requirements.txt

@@ -15,6 +15,12 @@
 #    limitations under the License.
 #
 
-dill
-tfx_bsl
-tensorflow-transform
+dill==0.4.1
+tfx_bsl==1.16.1
+tensorflow-transform==1.16.0
+tensorflow>=2.16,<2.17
+numpy>=1.22.0,<2.0
+tensorflow-metadata>=1.16.1,<1.17.0
+pyarrow>=10,<11
+tensorflow-serving-api>=2.16.1,<2.20
+tf-keras>=2.16.0,<2.17