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new 0e375012dbe Add TF MNIST classification cost benchmark (#33391)
0e375012dbe is described below
commit 0e375012dbe954e6892a53a2623125e5b74daecb
Author: Jack McCluskey <[email protected]>
AuthorDate: Tue Dec 17 14:44:13 2024 -0500
Add TF MNIST classification cost benchmark (#33391)
* Add TF MNIST classification cost benchmark
* linting
* Generalize to single workflow file for cost benchmarks
* fix incorrect UTC time in comment
* move wordcount to same workflow
* update workflow job name
---
...yml => beam_Python_CostBenchmarks_Dataflow.yml} | 28 +++++++++++----
.../python_tf_mnist_classification.txt | 29 +++++++++++++++
...nsorflow_mnist_classification_cost_benchmark.py | 41 ++++++++++++++++++++++
3 files changed, 91 insertions(+), 7 deletions(-)
diff --git
a/.github/workflows/beam_Wordcount_Python_Cost_Benchmark_Dataflow.yml
b/.github/workflows/beam_Python_CostBenchmarks_Dataflow.yml
similarity index 69%
rename from .github/workflows/beam_Wordcount_Python_Cost_Benchmark_Dataflow.yml
rename to .github/workflows/beam_Python_CostBenchmarks_Dataflow.yml
index 51d1005affb..18fe37e142a 100644
--- a/.github/workflows/beam_Wordcount_Python_Cost_Benchmark_Dataflow.yml
+++ b/.github/workflows/beam_Python_CostBenchmarks_Dataflow.yml
@@ -13,9 +13,11 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-name: Wordcount Python Cost Benchmarks Dataflow
+name: Python Cost Benchmarks Dataflow
on:
+ schedule:
+ - cron: '30 18 * * 6' # Run at 6:30 pm UTC on Saturdays
workflow_dispatch:
#Setting explicit permissions for the action to avoid the default permissions
which are `write-all` in case of pull_request_target event
@@ -47,16 +49,17 @@ env:
INFLUXDB_USER_PASSWORD: ${{ secrets.INFLUXDB_USER_PASSWORD }}
jobs:
- beam_Inference_Python_Benchmarks_Dataflow:
+ beam_Python_Cost_Benchmarks_Dataflow:
if: |
- github.event_name == 'workflow_dispatch'
+ github.event_name == 'workflow_dispatch' ||
+ (github.event_name == 'schedule' && github.repository == 'apache/beam')
runs-on: [self-hosted, ubuntu-20.04, main]
timeout-minutes: 900
name: ${{ matrix.job_name }} (${{ matrix.job_phrase }})
strategy:
matrix:
- job_name: ["beam_Wordcount_Python_Cost_Benchmarks_Dataflow"]
- job_phrase: ["Run Wordcount Cost Benchmark"]
+ job_name: ["beam_Python_CostBenchmark_Dataflow"]
+ job_phrase: ["Run Python Dataflow Cost Benchmarks"]
steps:
- uses: actions/checkout@v4
- name: Setup repository
@@ -76,10 +79,11 @@ jobs:
test-language: python
argument-file-paths: |
${{ github.workspace
}}/.github/workflows/cost-benchmarks-pipeline-options/python_wordcount.txt
+ ${{ github.workspace
}}/.github/workflows/cost-benchmarks-pipeline-options/python_tf_mnist_classification.txt
# The env variables are created and populated in the
test-arguments-action as
"<github.job>_test_arguments_<argument_file_paths_index>"
- name: get current time
run: echo "NOW_UTC=$(date '+%m%d%H%M%S' --utc)" >> $GITHUB_ENV
- - name: run wordcount on Dataflow Python
+ - name: Run wordcount on Dataflow
uses: ./.github/actions/gradle-command-self-hosted-action
timeout-minutes: 30
with:
@@ -88,4 +92,14 @@ jobs:
-PloadTest.mainClass=apache_beam.testing.benchmarks.wordcount.wordcount \
-Prunner=DataflowRunner \
-PpythonVersion=3.10 \
- '-PloadTest.args=${{
env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_1 }}
--job_name=benchmark-tests-wordcount-python-${{env.NOW_UTC}}
--output=gs://temp-storage-for-end-to-end-tests/wordcount/result_wordcount-${{env.NOW_UTC}}.txt'
\
\ No newline at end of file
+ '-PloadTest.args=${{
env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_1 }}
--job_name=benchmark-tests-wordcount-python-${{env.NOW_UTC}}
--output_file=gs://temp-storage-for-end-to-end-tests/wordcount/result_wordcount-${{env.NOW_UTC}}.txt'
\
+ - name: Run Tensorflow MNIST Image Classification on Dataflow
+ uses: ./.github/actions/gradle-command-self-hosted-action
+ timeout-minutes: 30
+ with:
+ gradle-command: :sdks:python:apache_beam:testing:load_tests:run
+ arguments: |
+
-PloadTest.mainClass=apache_beam.testing.benchmarks.inference.tensorflow_mnist_classification_cost_benchmark
\
+ -Prunner=DataflowRunner \
+ -PpythonVersion=3.10 \
+ '-PloadTest.args=${{
env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_2 }}
--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/' \
\ No newline at end of file
diff --git
a/.github/workflows/cost-benchmarks-pipeline-options/python_tf_mnist_classification.txt
b/.github/workflows/cost-benchmarks-pipeline-options/python_tf_mnist_classification.txt
new file mode 100644
index 00000000000..01f4460b8c7
--- /dev/null
+++
b/.github/workflows/cost-benchmarks-pipeline-options/python_tf_mnist_classification.txt
@@ -0,0 +1,29 @@
+# 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
\ No newline at end of file
diff --git
a/sdks/python/apache_beam/testing/benchmarks/inference/tensorflow_mnist_classification_cost_benchmark.py
b/sdks/python/apache_beam/testing/benchmarks/inference/tensorflow_mnist_classification_cost_benchmark.py
new file mode 100644
index 00000000000..f7e12dcead0
--- /dev/null
+++
b/sdks/python/apache_beam/testing/benchmarks/inference/tensorflow_mnist_classification_cost_benchmark.py
@@ -0,0 +1,41 @@
+#
+# 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()
