rerun daily ci

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

@@ -7,7 +7,7 @@ on:
     - cron: "17 2 * * *"
   push:
     branches:
-      - run_scheduled_ci*
+      - run_daily_ci
 
 jobs:
   model-ci:
@@ -18,42 +18,42 @@ jobs:
       slack_report_channel: "#transformers-ci-daily-models"
     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"
-    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"
-    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"
-    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"
-    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"
-    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"
+#    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"
+#    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"
+#    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"
+#    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"
+#    secrets: inherit

utils/get_previous_daily_ci.py

@@ -38,7 +38,7 @@ def get_last_daily_ci_runs(token):
             workflow_run_id = workflow_run["id"]
             break
 
-    return workflow_run_id
+    return "9377230931"
 
 
 def get_last_daily_ci_artifacts(artifact_names, output_dir, token):

utils/notification_service.py

@@ -1167,7 +1167,7 @@ def prepare_reports(title, header, reports, to_truncate=True):
             json.dump(model_results, fp, indent=4, ensure_ascii=False)
 
         # upload results to Hub dataset (only for the scheduled daily CI run on `main`)
-        if is_scheduled_ci_run:
+        if True:
             api.upload_file(
                 path_or_fileobj=f"ci_results_{job_name}/model_results.json",
                 path_in_repo=f"{datetime.datetime.today().strftime('%Y-%m-%d')}/ci_results_{job_name}/model_results.json",
@@ -1189,7 +1189,7 @@ def prepare_reports(title, header, reports, to_truncate=True):
             json.dump(job_result, fp, indent=4, ensure_ascii=False)
 
         # upload results to Hub dataset (only for the scheduled daily CI run on `main`)
-        if is_scheduled_ci_run:
+        if True:
             api.upload_file(
                 path_or_fileobj=f"ci_results_{job_name}/{test_to_result_name[job]}_results.json",
                 path_in_repo=f"{datetime.datetime.today().strftime('%Y-%m-%d')}/ci_results_{job_name}/{test_to_result_name[job]}_results.json",
@@ -1199,7 +1199,7 @@ def prepare_reports(title, header, reports, to_truncate=True):
             )
 
     prev_ci_artifacts = None
-    if is_scheduled_ci_run:
+    if True:
         if job_name == "run_models_gpu":
             # Get the last previously completed CI's failure tables
             artifact_names = [f"ci_results_{job_name}"]

utils/notification_service_quantization.py

@@ -256,7 +256,7 @@ def post_reply(self):
     is_scheduled_ci_run = os.environ.get("CI_WORKFLOW_REF") == target_workflow
 
     # upload results to Hub dataset (only for the scheduled daily CI run on `main`)
-    if is_scheduled_ci_run:
+    if True:
         api.upload_file(
             path_or_fileobj=f"ci_results_{job_name}/quantization_results.json",
             path_in_repo=f"{datetime.datetime.today().strftime('%Y-%m-%d')}/ci_results_{job_name}/quantization_results.json",

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/levit"]]
     print(model_splits)