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Posted to commits@beam.apache.org by an...@apache.org on 2023/09/25 17:15:45 UTC

[beam] branch update-readme created (now 05b9a2bf47a)

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      at 05b9a2bf47a Update readme with latest info

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     new 05b9a2bf47a Update readme with latest info

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[beam] 01/01: Update readme with latest info

Posted by an...@apache.org.
This is an automated email from the ASF dual-hosted git repository.

anandinguva pushed a commit to branch update-readme
in repository https://gitbox.apache.org/repos/asf/beam.git

commit 05b9a2bf47a9970572e65481fd5347f0c78eccac
Author: AnandInguva <an...@gmail.com>
AuthorDate: Mon Sep 25 13:01:33 2023 -0400

    Update readme with latest info
---
 sdks/python/apache_beam/testing/analyzers/README.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/sdks/python/apache_beam/testing/analyzers/README.md b/sdks/python/apache_beam/testing/analyzers/README.md
index 6098c82fd54..076f173f9d7 100644
--- a/sdks/python/apache_beam/testing/analyzers/README.md
+++ b/sdks/python/apache_beam/testing/analyzers/README.md
@@ -43,9 +43,8 @@ please follow the below structure.
 ```
 # the test_1 must be a unique id.
 test_1:
-  test_name: Pytorch image classification on 50k images of size 224 x 224 with resnet 152
+  test_description: Pytorch image classification on 50k images of size 224 x 224 with resnet 152
   test_target: apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks
-  source: big_query
   metrics_dataset: beam_run_inference
   metrics_table: torch_inference_imagenet_results_resnet152
   project: apache-beam-testing
@@ -58,7 +57,7 @@ test_1:
 
 **NOTE**: `test_target` is optional. It is used for identifying the test that was causing the regression.
 
-**Note**: If the source is **BigQuery**, the `metrics_dataset`, `metrics_table`, `project` and `metric_name` should match with the values defined for performance/load tests.
+**Note**: By default, the tool fetches metrics from BigQuery tables. `metrics_dataset`, `metrics_table`, `project` and `metric_name` should match with the values defined for performance/load tests.
 The above example uses this [test configuration](https://github.com/apache/beam/blob/0a91d139dea4276dc46176c4cdcdfce210fc50c4/.test-infra/jenkins/job_InferenceBenchmarkTests_Python.groovy#L30)
 to fill up the values required to fetch the data from source.