blob: b0727ffa71b8bc8b156fc3e2e004879634dd8589 [file] [log] [blame]
#
# 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.
#
import logging
from apache_beam.examples.inference import vllm_gemma_batch
from apache_beam.testing.load_tests.dataflow_cost_benchmark import DataflowCostBenchmark
class VllmGemmaBenchmarkTest(DataflowCostBenchmark):
def __init__(self):
self.metrics_namespace = "BeamML_vLLM"
super().__init__(
metrics_namespace=self.metrics_namespace,
pcollection="FormatForBQ.out0",
)
def test(self):
# The perf-test framework passes --input_file,
# but the pipeline expects --input.
extra_opts = {"input": self.pipeline.get_option("input_file")}
self.result = vllm_gemma_batch.run(
self.pipeline.get_full_options_as_args(**extra_opts),
test_pipeline=self.pipeline)
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO)
VllmGemmaBenchmarkTest().run()