602de81ebd77abb7db2780c04efe0f09d7dacd45,perfkitbenchmarker/linux_benchmarks/mlperf_benchmark.py,,,#,25

Before Change


    _ILSVRC2012_TAR:
        "ae83026644feeaf42a387d29765980830387756eff3293bb96fa91f3911a1b15"}

flags.DEFINE_enum("mlperf_benchmark", "resnet", ["resnet"],
                  "MLPerf benchmark test to run.")

After Change


                    "Directory where the wmt dataset is stored")
flags.DEFINE_string("coco_data_dir", "gs://pkb-sgpyc-europe-west4/coco",
                    "Directory where the coco dataset is stored")
flags.DEFINE_string("gnmt_data_dir",
                    "gs://pkb-sgpyc-europe-west4/mlperf_v0.6_nv_gnmt",
                    "Directory where the nv v0.6 WMT dataset is stored")
flags.DEFINE_string("coco2017_data_dir", "gs://pkb-sgpyc-europe-west4/coco2017",
                    "Directory where the coco2017 dataset is stored")

Italian Trulli
In pattern: SUPERPATTERN

Frequency: 5

Non-data size: 2

Instances


Project Name: GoogleCloudPlatform/PerfKitBenchmarker
Commit Name: 602de81ebd77abb7db2780c04efe0f09d7dacd45
Time: 2019-11-22
Author: yuyanting@google.com
File Name: perfkitbenchmarker/linux_benchmarks/mlperf_benchmark.py
Class Name:
Method Name:


Project Name: tensorflow/kfac
Commit Name: 3a5cea5d75447d9beea3a2b71e67aaaad9698f0c
Time: 2020-01-14
Author: no-reply@google.com
File Name: kfac/examples/classifier_mnist.py
Class Name:
Method Name:


Project Name: tensorflow/tpu
Commit Name: d2694eacb1fdd698a7629271d43f99acf5e75b34
Time: 2019-01-15
Author: solitarylord@gmail.com
File Name: models/official/resnet/resnet_main.py
Class Name:
Method Name:


Project Name: GoogleCloudPlatform/PerfKitBenchmarker
Commit Name: 7a671934ee9f1699313e767bcb7c24cbca49b416
Time: 2020-03-13
Author: pclay@google.com
File Name: perfkitbenchmarker/providers/aws/flags.py
Class Name:
Method Name:


Project Name: tensorflow/tpu
Commit Name: a2a75e00e06924be9d8258726cded889abc017c7
Time: 2018-01-08
Author: frankchn@google.com
File Name: cloud_tpu/models/resnet_garden/resnet_main.py
Class Name:
Method Name: