tc

.github/actions/bc-lint/action.yml

@@ -1,5 +1,5 @@
 name: 'BC Lint Action'
-description: 'A reusable action for running the BC Lint workflow. 
+description: 'A reusable action for running the BC Lint workflow.
     See https://github.com/pytorch/test-infra/wiki/BC-Linter for more information.'
 inputs:
   repo:

.github/actions/binary-upload/action.yml

@@ -25,10 +25,10 @@ runs:
       working-directory: ${{ inputs.repository }}
       run: |
         set -euxo pipefail
-        
+
         # shellcheck disable=SC1090
         source "${BUILD_ENV_FILE}"
-          
+
         pip install awscli==1.32.18
         yum install -y jq
 

.github/scripts/validate_binaries.sh

@@ -81,7 +81,7 @@ else
     if [[ ${MATRIX_GPU_ARCH_VERSION} == "12.6" || ${MATRIX_GPU_ARCH_TYPE} == "xpu" || ${MATRIX_GPU_ARCH_TYPE} == "rocm" ]]; then
         export DESIRED_DEVTOOLSET="cxx11-abi"
 
-        # TODO: enable torch-compile on ROCM 
+        # TODO: enable torch-compile on ROCM
         if [[ ${MATRIX_GPU_ARCH_TYPE} == "rocm" ]]; then
             TEST_SUFFIX=${TEST_SUFFIX}" --torch-compile-check disabled"
         fi

.github/workflows/lint.yml

@@ -37,7 +37,7 @@ jobs:
       - name: Run lintrunner on all files - Linux
         run: |
           set +e
-          if ! lintrunner -v --force-color --all-files --tee-json=lint.json --take ACTIONLINT,MYPY,RUSTFMT,COPYRIGHT,LINTRUNNER_VERSION,UFMT,NEWLINE,TABS; then
+          if ! lintrunner -v --force-color --all-files --tee-json=lint.json --take ACTIONLINT,MYPY,RUSTFMT,COPYRIGHT,LINTRUNNER_VERSION,UFMT,NEWLINE,TABS,SPACES; then
               echo ""
               echo -e "\e[1m\e[36mYou can reproduce these results locally by using \`lintrunner -m main\`.\e[0m"
               exit 1

.lintrunner.toml

@@ -132,6 +132,7 @@ exclude_patterns = [
     '**/*.patch',
     '**/fixtures/**',
     '**/snapshots/**',
+    '.github/actions/setup-ssh/index.js',
 ]
 command = [
     'python3',

aws/lambda/log-classifier/scripts/download_logs.py

@@ -8,7 +8,7 @@
 def read_log_dataset(file_location):
     """
     Reads a log dataset from a CSV file and returns a list of dictionaries.
-    The CSV file should have the following schema: 
+    The CSV file should have the following schema:
     "id","startTime","conclusion","dynamoKey","name","job_name"
 
     Args:

aws/websites/download.pytorch.org/pep503_whl_redirect.js

@@ -4,7 +4,7 @@ function handler(event) {
     var uri_parts = uri.split('/')
     var last_uri_part = uri_parts[uri_parts.length -1]
     var rocm_pattern = /^rocm[0-9]+(\.[0-9]+)*$/
-    
+
     if (uri.startsWith('/whl')) {
         // Check whether the URI is missing a file name.
         if (uri.endsWith('/')) {
@@ -18,7 +18,7 @@ function handler(event) {
             request.uri += '/index.html';
         }
     }
-    
+
     // Similar behavior for libtorch
     if (uri.startsWith('/libtorch')) {
         // Check whether the URI is missing a file name.

terraform-aws-github-runner/modules/runner-binaries-syncer/lambdas/runner-binaries-syncer/.prettierrc

@@ -4,4 +4,3 @@
   "trailingComma": "all",
   "semi": true,
 }
-

terraform-aws-github-runner/modules/runners-instances/policies/instance-ec2-create-tags-policy.json

@@ -1,5 +1,5 @@
 {
-    "Version": "2012-10-17", 
+    "Version": "2012-10-17",
     "Statement": [
       {
         "Effect": "Allow",

tools/analytics/download_count_wheels.py

@@ -138,7 +138,7 @@ def output_results(bytes_cache: dict) -> None:
 def download_logs(log_directory: str, since: float):
     dt_now = datetime.now(timezone.utc)
     dt_end = datetime(dt_now.year, dt_now.month, dt_now.day, tzinfo=timezone.utc)
-    dt_start = dt_end - timedelta(days=1, hours=1) # Add 1 hour padding to account for potentially missed logs due to timing 
+    dt_start = dt_end - timedelta(days=1, hours=1) # Add 1 hour padding to account for potentially missed logs due to timing
     for key in tqdm(BUCKET.objects.filter(Prefix='cflogs')):
         remote_fname = key.key
         local_fname = os.path.join(log_directory, remote_fname)

tools/analytics/github_analyze.py

@@ -406,7 +406,7 @@ def get_commits_dict(x, y):
     print(f"issue_num: {issue_num}, len(issue_comments)={len(current_issue_comments)}")
     print("URL;Title;Status")
 
-    # Iterate over the previous release branch to find potentially missing cherry picks in the current issue. 
+    # Iterate over the previous release branch to find potentially missing cherry picks in the current issue.
     for commit in prev_release_commits.values():
         not_cherry_picked_in_current_issue = any(commit.pr_url not in issue_comment['body'] for issue_comment in current_issue_comments)
         for main_commit in main_commits.values():
@@ -475,7 +475,7 @@ def main():
     if args.analyze_stacks:
         analyze_stacks(repo)
         return
-    
+
     # Use milestone idx or search it along milestone titles
     try:
         milestone_idx = int(args.milestone_id)
@@ -491,11 +491,11 @@ def main():
 
     if args.missing_in_branch:
         commits_missing_in_branch(repo,
-                                  args.branch, 
+                                  args.branch,
                                   f'orig/{args.branch}',
                                   milestone_idx)
         return
-    
+
     if args.missing_in_release:
         commits_missing_in_release(repo,
                                   args.branch,

tools/analytics/s3_test_stats_analyze.py

@@ -33,7 +33,7 @@ def _get_latests_git_commit_sha_list(lookback: int):
 def _json_to_df(data: Dict[str, Any], granularity: str) -> pd.DataFrame:
     reformed_data = list()
     for fname, fdata in data['files'].items():
-        if granularity == 'file': 
+        if granularity == 'file':
             reformed_data.append({
                 "job": data['job'],
                 "sha": data['sha'],
@@ -42,7 +42,7 @@ def _json_to_df(data: Dict[str, Any], granularity: str) -> pd.DataFrame:
             })
         else:
             for sname, sdata in fdata['suites'].items():
-                if granularity == 'suite': 
+                if granularity == 'suite':
                     reformed_data.append({
                         "job": data['job'],
                         "sha": data['sha'],
@@ -140,8 +140,8 @@ def main():
         dataframe = parse_and_export_stats(f'{cache_folder}/test_time/', granularity)
         dataframe.to_pickle(output)
 
-                
+
 
 if __name__ == "__main__":
     main()
-    
+

tools/analytics/validate_pypi_staging.py

@@ -16,10 +16,10 @@
     "macosx_11_0_arm64",
 ]
 PYTHON_VERSIONS = [
-    "cp38", 
-    "cp39", 
-    "cp310", 
-    "cp311", 
+    "cp38",
+    "cp39",
+    "cp310",
+    "cp311",
     "cp312"
     ]
 S3_PYPI_STAGING = "pytorch-backup"

tools/binary_size_validation/README.md

@@ -1,6 +1,6 @@
 # PyTorch Wheel Binary Size Validation
 
-A script to fetch and validate the binary size of PyTorch wheels 
+A script to fetch and validate the binary size of PyTorch wheels
 in the given channel (test, nightly) against the given threshold.
 
 
@@ -11,7 +11,7 @@ pip install -r requirements.txt
 ```
 
 ### Usage
-    
+
 ```bash
 # print help
 python binary_size_validation.py --help

tools/scripts/generate_binary_build_matrix.py

@@ -2,7 +2,7 @@
 
 """Generates a matrix to be utilized through github actions
 
-Important. After making changes to this file please run following command: 
+Important. After making changes to this file please run following command:
 python -m tools.tests.test_generate_binary_build_matrix --update-reference-files
 
 Will output a condensed version of the matrix if on a pull request that only
@@ -375,8 +375,8 @@ def generate_libtorch_matrix(
                 gpu_arch_type = arch_type(arch_version)
                 gpu_arch_version = "" if arch_version == CPU else arch_version
 
-                # Rocm builds where removed for pre-cxx11 abi 
-                if gpu_arch_type == "rocm" and abi_version == PRE_CXX11_ABI:  
+                # Rocm builds where removed for pre-cxx11 abi
+                if gpu_arch_type == "rocm" and abi_version == PRE_CXX11_ABI:
                     continue
 
                 desired_cuda = translate_desired_cuda(gpu_arch_type, gpu_arch_version)

tools/tests/README.md

@@ -1,5 +1,5 @@
 # Testing during CI
-The tests in this folder are automatically executed during CI by `.github/workflows/tests.yml`.  
+The tests in this folder are automatically executed during CI by `.github/workflows/tests.yml`.
 
 If you add a new test that requires installing additional modules, please update the `pip install` command in that workflow.