Add TF MNIST classification cost benchmark

.github/workflows/beam_CostBenchmark_Python_TF_MNIST_Classification_Dataflow.yml

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+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+name: Cost Benchmark Python TF MNIST Classification Dataflow
+
+on:
+  workflow_dispatch:
+
+#Setting explicit permissions for the action to avoid the default permissions which are `write-all` in case of pull_request_target event
+permissions:
+  actions: write
+  pull-requests: read
+  checks: read
+  contents: read
+  deployments: read
+  id-token: none
+  issues: read
+  discussions: read
+  packages: read
+  pages: read
+  repository-projects: read
+  security-events: read
+  statuses: read
+
+# This allows a subsequently queued workflow run to interrupt previous runs
+concurrency:
+  group: '${{ github.workflow }} @ ${{ github.event.issue.number || github.sha || github.head_ref || github.ref }}-${{ github.event.schedule || github.event.comment.id || github.event.sender.login }}'
+  cancel-in-progress: true
+
+env:
+  DEVELOCITY_ACCESS_KEY: ${{ secrets.GE_ACCESS_TOKEN }}
+  GRADLE_ENTERPRISE_CACHE_USERNAME: ${{ secrets.GE_CACHE_USERNAME }}
+  GRADLE_ENTERPRISE_CACHE_PASSWORD: ${{ secrets.GE_CACHE_PASSWORD }}
+  INFLUXDB_USER: ${{ secrets.INFLUXDB_USER }}
+  INFLUXDB_USER_PASSWORD: ${{ secrets.INFLUXDB_USER_PASSWORD }}
+
+jobs:
+  beam_Inference_Python_Benchmarks_Dataflow:
+    if: |
+      github.event_name == 'workflow_dispatch'
+    runs-on: [self-hosted, ubuntu-20.04, main]
+    timeout-minutes: 900
+    name: ${{ matrix.job_name }} (${{ matrix.job_phrase }})
+    strategy:
+      matrix:
+        job_name: ["beam_CostBenchmark_Python_TF_MNIST_Classification_Dataflow"]
+        job_phrase: ["Run TF MNIST Classification Cost Benchmark"]
+    steps:
+      - uses: actions/checkout@v4
+      - name: Setup repository
+        uses: ./.github/actions/setup-action
+        with:
+          comment_phrase: ${{ matrix.job_phrase }}
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          github_job: ${{ matrix.job_name }} (${{ matrix.job_phrase }})
+      - name: Setup Python environment
+        uses: ./.github/actions/setup-environment-action
+        with:
+          python-version: '3.10'
+      - name: Prepare test arguments
+        uses: ./.github/actions/test-arguments-action
+        with:
+          test-type: load
+          test-language: python
+          argument-file-paths: |
+            ${{ github.workspace }}/.github/workflows/cost-benchmarks-pipeline-options/python_tf_mnist_classification.txt
+      # The env variables are created and populated in the test-arguments-action as "<github.job>_test_arguments_<argument_file_paths_index>"
+      - name: get current time
+        run: echo "NOW_UTC=$(date '+%m%d%H%M%S' --utc)" >> $GITHUB_ENV
+      - name: run wordcount on Dataflow Python
+        uses: ./.github/actions/gradle-command-self-hosted-action
+        timeout-minutes: 30
+        with:
+          gradle-command: :sdks:python:apache_beam:testing:load_tests:run
+          arguments: |
+            -PloadTest.mainClass=apache_beam.testing.benchmarks.inference.tensorflow_mnist_classification_cost_benchmark \
+            -Prunner=DataflowRunner \
+            -PpythonVersion=3.10 \
+            '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_1 }} --job_name=benchmark-tests-tf-mnist-classification-python-${{env.NOW_UTC}} --input_file=gs://apache-beam-ml/testing/inputs/it_mnist_data.csv --output_file=gs://temp-storage-for-end-to-end-tests/wordcount/result_tf_mnist-${{env.NOW_UTC}}.txt --model=gs://apache-beam-ml/models/tensorflow/mnist/' \

.github/workflows/cost-benchmarks-pipeline-options/python_tf_mnist_classification.txt

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+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+
+--region=us-central1
+--machine_type=n1-standard-2
+--num_workers=1
+--disk_size_gb=50
+--autoscaling_algorithm=NONE
+--input_options={}
+--staging_location=gs://temp-storage-for-perf-tests/loadtests
+--temp_location=gs://temp-storage-for-perf-tests/loadtests
+--requirements_file=apache_beam/ml/inference/tensorflow_tests_requirements.txt
+--publish_to_big_query=true
+--metrics_dataset=beam_run_inference
+--metrics_table=tf_mnist_classification
+--runner=DataflowRunner

sdks/python/apache_beam/testing/benchmarks/inference/tensorflow_mnist_classification_cost_benchmark.py

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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# pytype: skip-file
+
+import logging
+
+from apache_beam.examples.inference import tensorflow_mnist_classification
+from apache_beam.testing.load_tests.dataflow_cost_benchmark import DataflowCostBenchmark
+
+
+class TensorflowMNISTClassificationCostBenchmark(DataflowCostBenchmark):
+  def __init__(self):
+    super().__init__()
+
+  def test(self):
+    extra_opts = {}
+    extra_opts['input'] = self.pipeline.get_option('input_file')
+    extra_opts['output'] = self.pipeline.get_option('output_file')
+    extra_opts['model_path'] = self.pipeline.get_option('model')
+    tensorflow_mnist_classification.run(
+        self.pipeline.get_full_options_as_args(**extra_opts),
+        save_main_session=False)
+
+
+if __name__ == '__main__':
+  logging.basicConfig(level=logging.INFO)
+  TensorflowMNISTClassificationCostBenchmark().run()