ping myself

.github/workflows/self-scheduled-caller.yml

@@ -7,72 +7,16 @@ on:
     - cron: "17 2 * * *"
   push:
     branches:
-      - run_scheduled_ci*
+      - ping_author
 
 jobs:
   model-ci:
     name: Model CI
     uses: ./.github/workflows/self-scheduled.yml
     with:
       job: run_models_gpu
-      slack_report_channel: "#transformers-ci-daily-models"
+      slack_report_channel: "#transformers-ci-feedback-tests"
       runner: daily-ci
       docker: huggingface/transformers-all-latest-gpu
       ci_event: Daily CI
     secrets: inherit
-
-  torch-pipeline:
-    name: Torch pipeline CI
-    uses: ./.github/workflows/self-scheduled.yml
-    with:
-      job: run_pipelines_torch_gpu
-      slack_report_channel: "#transformers-ci-daily-pipeline-torch"
-      runner: daily-ci
-      docker: huggingface/transformers-pytorch-gpu
-      ci_event: Daily CI
-    secrets: inherit
-
-  tf-pipeline:
-    name: TF pipeline CI
-    uses: ./.github/workflows/self-scheduled.yml
-    with:
-      job: run_pipelines_tf_gpu
-      slack_report_channel: "#transformers-ci-daily-pipeline-tf"
-      runner: daily-ci
-      docker: huggingface/transformers-tensorflow-gpu
-      ci_event: Daily CI
-    secrets: inherit
-
-  example-ci:
-    name: Example CI
-    uses: ./.github/workflows/self-scheduled.yml
-    with:
-      job: run_examples_gpu
-      slack_report_channel: "#transformers-ci-daily-examples"
-      runner: daily-ci
-      docker: huggingface/transformers-all-latest-gpu
-      ci_event: Daily CI
-    secrets: inherit
-
-  deepspeed-ci:
-    name: DeepSpeed CI
-    uses: ./.github/workflows/self-scheduled.yml
-    with:
-      job: run_torch_cuda_extensions_gpu
-      slack_report_channel: "#transformers-ci-daily-deepspeed"
-      runner: daily-ci
-      docker: huggingface/transformers-pytorch-deepspeed-latest-gpu
-      ci_event: Daily CI
-      working-directory-prefix: /workspace
-    secrets: inherit
-
-  quantization-ci:
-    name: Quantization CI
-    uses: ./.github/workflows/self-scheduled.yml
-    with:
-      job: run_quantization_torch_gpu
-      slack_report_channel: "#transformers-ci-daily-quantization"
-      runner: daily-ci
-      docker: huggingface/transformers-quantization-latest-gpu
-      ci_event: Daily CI
-    secrets: inherit

.github/workflows/self-scheduled.yml

@@ -496,46 +496,46 @@ jobs:
           name: ${{ env.machine_type }}_run_quantization_torch_gpu_${{ env.matrix_folders }}_test_reports
           path: /transformers/reports/${{ env.machine_type }}_run_quantization_torch_gpu_${{ matrix.folders }}_test_reports
 
-  run_extract_warnings:
-    # Let's only do this for the job `run_models_gpu` to simplify the (already complex) logic.
-    if: ${{ always() && inputs.job == 'run_models_gpu' }}
-    name: Extract warnings in CI artifacts
-    runs-on: ubuntu-22.04
-    needs: [setup, run_models_gpu]
-    steps:
-      - name: Checkout transformers
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 2
-
-      - name: Install transformers
-        run: pip install transformers
-
-      - name: Show installed libraries and their versions
-        run: pip freeze
-
-      - name: Create output directory
-        run: mkdir warnings_in_ci
-
-      - uses: actions/download-artifact@v4
-        with:
-          path: warnings_in_ci
-
-      - name: Show artifacts
-        run: echo "$(python3 -c 'import os; d = os.listdir(); print(d)')"
-        working-directory: warnings_in_ci
-
-      - name: Extract warnings in CI artifacts
-        run: |
-          python3 utils/extract_warnings.py --workflow_run_id ${{ github.run_id }} --output_dir warnings_in_ci --token ${{ secrets.ACCESS_REPO_INFO_TOKEN }} --from_gh
-          echo "$(python3 -c 'import os; import json; fp = open("warnings_in_ci/selected_warnings.json"); d = json.load(fp); d = "\n".join(d) ;print(d)')"
-
-      - name: Upload artifact
-        if: ${{ always() }}
-        uses: actions/upload-artifact@v4
-        with:
-          name: warnings_in_ci
-          path: warnings_in_ci/selected_warnings.json
+#  run_extract_warnings:
+#    # Let's only do this for the job `run_models_gpu` to simplify the (already complex) logic.
+#    if: ${{ always() && inputs.job == 'run_models_gpu' }}
+#    name: Extract warnings in CI artifacts
+#    runs-on: ubuntu-22.04
+#    needs: [setup, run_models_gpu]
+#    steps:
+#      - name: Checkout transformers
+#        uses: actions/checkout@v4
+#        with:
+#          fetch-depth: 2
+#
+#      - name: Install transformers
+#        run: pip install transformers
+#
+#      - name: Show installed libraries and their versions
+#        run: pip freeze
+#
+#      - name: Create output directory
+#        run: mkdir warnings_in_ci
+#
+#      - uses: actions/download-artifact@v4
+#        with:
+#          path: warnings_in_ci
+#
+#      - name: Show artifacts
+#        run: echo "$(python3 -c 'import os; d = os.listdir(); print(d)')"
+#        working-directory: warnings_in_ci
+#
+#      - name: Extract warnings in CI artifacts
+#        run: |
+#          python3 utils/extract_warnings.py --workflow_run_id ${{ github.run_id }} --output_dir warnings_in_ci --token ${{ secrets.ACCESS_REPO_INFO_TOKEN }} --from_gh
+#          echo "$(python3 -c 'import os; import json; fp = open("warnings_in_ci/selected_warnings.json"); d = json.load(fp); d = "\n".join(d) ;print(d)')"
+#
+#      - name: Upload artifact
+#        if: ${{ always() }}
+#        uses: actions/upload-artifact@v4
+#        with:
+#          name: warnings_in_ci
+#          path: warnings_in_ci/selected_warnings.json
 
   send_results:
     name: Slack Report
@@ -547,7 +547,7 @@ jobs:
       run_examples_gpu,
       run_torch_cuda_extensions_gpu,
       run_quantization_torch_gpu,
-      run_extract_warnings
+#      run_extract_warnings
     ]
     if: ${{ always() }}
     uses: ./.github/workflows/slack-report.yml

utils/notification_service.py

@@ -622,7 +622,7 @@ def post(self):
         print("Sending the following payload")
         print(json.dumps({"blocks": json.loads(payload)}))
 
-        text = f"{self.n_failures} failures out of {self.n_tests} tests," if self.n_failures else "All tests passed."
+        text = f"Try to ping @Yih-Dar SHIEH"
 
         self.thread_ts = client.chat_postMessage(
             channel=SLACK_REPORT_CHANNEL_ID,

utils/split_model_tests.py

@@ -62,4 +62,5 @@
         start = end
         end = start + num_jobs_per_splits + (1 if idx < num_jobs % args.num_splits else 0)
         model_splits.append(d[start:end])
+    model_splits = [["models/vit"], ["models/altclip"]]
     print(model_splits)