Add Looker ids

Author: Amar3tto

.github/workflows/beam_Inference_Python_Benchmarks_Dataflow.yml

@@ -193,7 +193,7 @@ jobs:
             -PpythonVersion=3.10 \
             -PloadTest.requirementsTxtFile=apache_beam/ml/inference/torch_tests_requirements.txt \
             '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_5 }} --job_name=benchmark-tests-pytorch-imagenet-python-gpu-${{env.NOW_UTC}} --output=gs://temp-storage-for-end-to-end-tests/torch/result_resnet152_gpu-${{env.NOW_UTC}}.txt' \
-      - name: run PyTorch Image Classification EfficientNet-B0 Streaming (Right-fitting)
+      - name: run PyTorch Image Classification EfficientNet-B0 Streaming (Right-fitting) GPU
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
@@ -204,7 +204,7 @@ jobs:
             -PpythonVersion=3.10 \
             -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_rightfit_requirements.txt \
             '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_9 }} --mode=streaming --job_name=benchmark-tests-pytorch-imagenet-rightfit-streaming-${{env.NOW_UTC}} --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_imagenet_stream_rightfit' \
-      - name: run PyTorch Image Object Detection Faster R-CNN ResNet-50 Batch
+      - name: run PyTorch Image Object Detection Faster R-CNN ResNet-50 Batch GPU
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:
@@ -214,8 +214,8 @@ jobs:
             -Prunner=DataflowRunner \
             -PpythonVersion=3.10 \
             -PloadTest.requirementsTxtFile=apache_beam/ml/inference/pytorch_image_object_detection_requirements.txt \
-            '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_10 }} --mode=batch --job_name=benchmark-tests-pytorch-image-object_detection-batch-${{env.NOW_UTC}} --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_object_detection_batch' \
-      - name: run PyTorch Image Captioning BLIP + CLIP Batch
+            '-PloadTest.args=${{ env.beam_Inference_Python_Benchmarks_Dataflow_test_arguments_10 }} --mode=batch --job_name=benchmark-tests-pytorch-image-object-detection-batch-${{env.NOW_UTC}} --output_table=apache-beam-testing.beam_run_inference.result_torch_inference_image_object_detection_batch' \
+      - name: run PyTorch Image Captioning BLIP + CLIP Batch GPU
         uses: ./.github/actions/gradle-command-self-hosted-action
         timeout-minutes: 180
         with:

.test-infra/tools/refresh_looker_metrics.py

@@ -43,9 +43,9 @@
     ("82", ["263", "264", "265", "266", "267"]),  # PyTorch Sentiment Streaming DistilBERT base uncased
     ("85", ["268", "269", "270", "271", "272"]),  # PyTorch Sentiment Batch DistilBERT base uncased
     ("86", ["284", "285", "286", "287", "288"]),  # VLLM Batch Gemma
-    ("92", ["289", "290", "291", "292", "293"]),  # PyTorch Image Classification EfficientNet-B0 Streaming (Right-fitting)
-    #TODO: PyTorch Image Object Detection Faster R-CNN ResNet-50 Batch
-    #TODO: PyTorch Image Captioning BLIP + CLIP Batch
+    ("92", ["289", "290", "291", "292", "293"]),  # PyTorch Image Classification EfficientNet-B0 Streaming (Right-fit)
+    ("93", ["294", "295", "296", "298", "299"]),  # PyTorch Image Object Detection Faster R-CNN ResNet-50 Batch GPU
+    ("94", ["297", "300", "301", "302", "303"]),  # PyTorch Image Captioning BLIP + CLIP Batch GPU
 ]
 
 

website/www/site/data/performance.yaml

@@ -268,33 +268,33 @@ looks:
           title: AvgThroughputElementsPerSec by Version
   pytorchimageobjectdetectionbatchgpu:
     write:
-      folder: #TODO
+      folder: 93
       cost:
-        - id: #TODO
+        - id: XGPVSYhVbZGJHQCtMPW4nRGynxXpdzdh
           title: RunTime and EstimatedCost
       date:
-        - id: #TODO
+        - id: ZW48KBPBxShGgWx53vjfvgqp6cVmHCNB
           title: AvgThroughputBytesPerSec by Date
-        - id: #TODO
+        - id: BjMWg26F3gNHQyZSsg8HjhTg3mCh6jFJ
           title: AvgThroughputElementsPerSec by Date
       version:
-        - id: #TODO
+        - id: kbF7Gnqjsjnvh3MKvYszSgWFbgDYYTWR
           title: AvgThroughputBytesPerSec by Version
-        - id: #TODO
+        - id: cTxrpY3KGrCb35dq7fnjvdsDnd7t85pJ
           title: AvgThroughputElementsPerSec by Version
   pytorchimagecaptioningbatchgpu:
     write:
-      folder: #TODO
+      folder: 94
       cost:
-        - id: #TODO
+        - id: nhYggnCYJzfgDyTXZRGJwpSyYKvBpfhV
           title: RunTime and EstimatedCost
       date:
-        - id: #TODO
+        - id: qzjkYQJCrxjc8GPcBF7dFJSFdTXQKxmR
           title: AvgThroughputBytesPerSec by Date
-        - id: #TODO
+        - id: kgkdbBCbkhDHpb2rHNGQDxcwGqzykwqD
           title: AvgThroughputElementsPerSec by Date
       version:
-        - id: #TODO
+        - id: 4p7b4HWVMRC8HXDZYMXbVYf2VPzYQ2kz
           title: AvgThroughputBytesPerSec by Version
-        - id: #TODO
+        - id: xQZRDYJRvmV7qMhb3j2XTrPmC8TP4DTr
           title: AvgThroughputElementsPerSec by Version