github.com/apache/beam/sdks/v2@v2.48.2/python/apache_beam/testing/analyzers/tests_config.yaml (about) 1 # 2 # Licensed to the Apache Software Foundation (ASF) under one or more 3 # contributor license agreements. See the NOTICE file distributed with 4 # this work for additional information regarding copyright ownership. 5 # The ASF licenses this file to You under the Apache License, Version 2.0 6 # (the "License"); you may not use this file except in compliance with 7 # the License. You may obtain a copy of the License at 8 # 9 # http://www.apache.org/licenses/LICENSE-2.0 10 # 11 # Unless required by applicable law or agreed to in writing, software 12 # distributed under the License is distributed on an "AS IS" BASIS, 13 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 14 # See the License for the specific language governing permissions and 15 # limitations under the License. 16 # 17 18 test_1: 19 test_name: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 20 test_target: apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks 21 metrics_dataset: beam_run_inference 22 metrics_table: torch_inference_imagenet_results_resnet152 23 project: apache-beam-testing 24 metric_name: mean_load_model_latency_milli_secs 25 26 test_2: 27 test_name: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 28 test_target: apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks 29 metrics_dataset: beam_run_inference 30 metrics_table: torch_inference_imagenet_results_resnet152 31 project: apache-beam-testing 32 metric_name: mean_inference_batch_latency_micro_secs 33 34 test_3: 35 test_name: Pytorch image classification on 50k images of size 224 x 224 with resnet 101 36 test_target: apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks 37 metrics_dataset: beam_run_inference 38 metrics_table: torch_inference_imagenet_results_resnet101 39 project: apache-beam-testing 40 metric_name: mean_load_model_latency_milli_secs 41 42 test_4: 43 test_name: Pytorch image classification on 50k images of size 224 x 224 with resnet 101 44 test_target: apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks 45 metrics_dataset: beam_run_inference 46 metrics_table: torch_inference_imagenet_results_resnet101 47 project: apache-beam-testing 48 metric_name: mean_inference_batch_latency_micro_secs 49 50 test_5: 51 test_name: test_cloudml_benchmark_cirteo_no_shuffle_10GB 52 metrics_dataset: beam_cloudml 53 metrics_table: cloudml_benchmark_cirteo_no_shuffle_10GB 54 project: apache-beam-testing 55 metric_name: runtime_sec 56 57 test_6: 58 test_name: test_cloudml_benchmark_criteo_10GB 59 metrics_dataset: beam_cloudml 60 metrics_table: cloudml_benchmark_criteo_10GB 61 project: apache-beam-testing 62 metric_name: runtime_sec 63 64 test_7: 65 test_name: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU 66 test_target: apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks 67 metrics_dataset: beam_run_inference 68 metrics_table: torch_inference_imagenet_results_resnet152_tesla_t4 69 project: apache-beam-testing 70 metric_name: mean_inference_batch_latency_micro_secs 71 72 test_8: 73 test_name: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU 74 test_target: apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks 75 metrics_dataset: beam_run_inference 76 metrics_table: torch_inference_imagenet_results_resnet152_tesla_t4 77 project: apache-beam-testing 78 metric_name: mean_load_model_latency_milli_secs