From 5a740b67dd4b255d385e43eac337bb611517a39f Mon Sep 17 00:00:00 2001 From: Nebojsa Sumrak Date: Thu, 9 Jul 2026 15:05:05 +0200 Subject: [PATCH 1/5] xla op by op parser --- .github/actions/collect_data/src/optests.py | 13 ++ .../src/parsers/tt_xla_op_by_op_parser.py | 190 ++++++++++++++++++ .../op_by_op_report-86083933793.json | 1 + .../op_by_op_report-86083933787.json | 1 + .../op_by_op_report-86083933790.json | 1 + .../test/test_xla_pytest_parser.py | 27 +++ 6 files changed, 233 insertions(+) create mode 100644 .github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py create mode 100644 .github/actions/collect_data/test/data/xla_op_by_op_reports/op-by-op-report-0-86083933793/op_by_op_report-86083933793.json create mode 100644 .github/actions/collect_data/test/data/xla_op_by_op_reports/op-by-op-report-1-86083933787/op_by_op_report-86083933787.json create mode 100644 .github/actions/collect_data/test/data/xla_op_by_op_reports/op-by-op-report-2-86083933790/op_by_op_report-86083933790.json create mode 100644 .github/actions/collect_data/test/test_xla_pytest_parser.py diff --git a/.github/actions/collect_data/src/optests.py b/.github/actions/collect_data/src/optests.py index a2f44e45..7e478465 100644 --- a/.github/actions/collect_data/src/optests.py +++ b/.github/actions/collect_data/src/optests.py @@ -8,6 +8,7 @@ import json from parsers.tt_torch_model_tests_parser import TTTorchModelTestsParser from parsers.builder_pytest_parser import BuilderPytestParser +from parsers.tt_xla_op_by_op_parser import TTXlaOpByOpParser from typing import Optional @@ -48,6 +49,15 @@ def should_use_tt_torch_model_tests_parser(test_report: str) -> bool: return str(test_report).endswith(".tar") +def should_use_tt_xla_op_by_op_parser(test_report: str) -> bool: + """ + Determine if the `TTXlaOpByOpParser` should be used on `test_report` + + :param test_report: Filename of the test report + """ + return "op_by_op" in str(test_report) + + def create_optest_reports(pipeline, workflow_outputs_dir): reports = [] @@ -79,6 +89,9 @@ def create_optest_reports(pipeline, workflow_outputs_dir): elif should_use_tt_torch_model_tests_parser(test_report): parser = TTTorchModelTestsParser() logger.info(f"Using TTTorchModelTestsParser for job '{job_name}'") + elif should_use_tt_xla_op_by_op_parser(test_report): + parser = TTXlaOpByOpParser() + logger.info(f"Using TTXlaOpByOpParser for job '{job_name}'") else: logger.info(f"No suitable parser found for {test_report}") continue diff --git a/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py b/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py new file mode 100644 index 00000000..5b39e497 --- /dev/null +++ b/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py @@ -0,0 +1,190 @@ +# SPDX-FileCopyrightText: (c) 2026 Tenstorrent AI ULC +# +# SPDX-License-Identifier: Apache-2.0 + +import os +import json +from functools import partial +from loguru import logger +from datetime import datetime +from pydantic_models import OpTest, TensorDesc +from .parser import Parser +from enum import IntEnum +from typing import Optional +from pydantic import ValidationError +from shared import failure_happened + + +class TTXlaOpByOpParser(Parser): + """Parser for python unitest report files.""" + + def can_parse(self, filepath: str): + # Remove trailing slash if present + filepath = filepath.rstrip("/") + basename = os.path.basename(filepath) + return "op-by-op" in basename or "op_by_op" in basename + + def parse( + self, + filepath: str, + project: Optional[str] = None, + github_job_id: Optional[int] = None, + ): + return _get_tests(filepath, project, github_job_id) + + +def _all_json_files(filepath): + for root, dirs, files in os.walk(filepath): + for file in files: + if file.endswith(".json") and not file.startswith("."): + yield os.path.join(root, file) + + +def _get_tests_from_json(project, github_job_id, filepath): + with open(filepath, "r") as fd: + data = json.load(fd) + + # Extract OpTest entries from tests/user_properties + if "tests" not in data or len(data["tests"]) == 0: + return + + user_properties = data["tests"][0].get("user_properties", []) + + for prop in user_properties: + # Look for entries with "OpTest model for: *" as the key + for key, test_data in prop.items(): + if key.startswith("OpTest model for:"): + # Extract op name from the key + op_name = key.replace("OpTest model for:", "").strip() + yield _get_pydantic_test(filepath, op_name, test_data, project, github_job_id) + + +def _get_pydantic_test(filepath, name, test, project, github_job_id, default_timestamp=datetime.now()): + # Parse timestamps from test data + test_start_ts = ( + datetime.fromisoformat(test["test_start_ts"]) + if test.get("test_start_ts") and test["test_start_ts"] != "None" + else default_timestamp + ) + test_end_ts = ( + datetime.fromisoformat(test["test_end_ts"]) + if test.get("test_end_ts") and test["test_end_ts"] != "None" + else default_timestamp + ) + + # Parse success/skipped/error values + success = test.get("success", "False") == "True" + skipped = test.get("skipped", "False") == "True" + error_message = test.get("error_message") if test.get("error_message") != "None" else None + + model_name = test.get("model_name", os.path.basename(filepath).split(".")[0]) + + full_test_name = f"{filepath}::{name}" + config = None + + try: + # Parse inputs/outputs from string representation + inputs = _parse_tensor_desc_list(test.get("inputs", "[]")) + outputs = _parse_tensor_desc_list(test.get("outputs", "[]")) + + return OpTest( + github_job_id=github_job_id, + full_test_name=full_test_name, + test_start_ts=test_start_ts, + test_end_ts=test_end_ts, + test_case_name=name, + filepath=filepath, + success=success, + skipped=skipped, + error_message=error_message, + config=config, + frontend=project, + model_name=model_name, + op_kind=test.get("op_kind", "") if test.get("op_kind") != "None" else "", + op_name=test.get("op_name", "").strip('"') if test.get("op_name") != "None" else "", + framework_op_name=test.get("framework_op_name", "") if test.get("framework_op_name") != "None" else "", + inputs=inputs, + outputs=outputs, + op_params=None, + ) + except ValidationError as e: + failure_happened() + logger.error(f"Validation error: {e}") + return None + + +def _map_tensor_desc(tensors): + if not tensors: + return [] + for tensor in tensors: + yield TensorDesc( + shape=tensor.get("shape"), + data_type=tensor.get("data_type"), + buffer_type=tensor.get("buffer_type"), + layout=tensor.get("layout"), + grid_shape=tensor.get("grid_shape"), + ) + + +def _parse_tensor_desc_list(tensor_str): + """Parse tensor description from string representation like: + '[TensorDesc(shape=[1, 3, 800, 1066], data_type='bf16', buffer_type=None, layout=None, grid_shape=None)]' + """ + if not tensor_str or tensor_str == "[]": + return [] + + import re + import ast + + result = [] + # Find all TensorDesc(...) patterns + pattern = r"TensorDesc\(([^)]+)\)" + matches = re.finditer(pattern, tensor_str) + + for match in matches: + params_str = match.group(1) + tensor_dict = {} + + # Parse each parameter + # Match: key=value pairs (handling None, strings, and lists) + param_pattern = r'(\w+)=(\[.*?\]|\'[^\']*\'|"[^"]*"|None|\w+)' + for param_match in re.finditer(param_pattern, params_str): + key = param_match.group(1) + value_str = param_match.group(2) + + # Parse the value + if value_str == "None": + value = None + elif value_str.startswith("["): + # Parse list using ast.literal_eval + try: + value = ast.literal_eval(value_str) + except: + value = None + elif value_str.startswith("'") or value_str.startswith('"'): + value = value_str.strip("'\"") + else: + value = value_str + + tensor_dict[key] = value + + result.append( + TensorDesc( + shape=tensor_dict.get("shape") or [], + data_type=tensor_dict.get("data_type") or "unknown", + buffer_type=tensor_dict.get("buffer_type") or "unknown", + layout=tensor_dict.get("layout") or "unknown", + grid_shape=tensor_dict.get("grid_shape") or [], + ) + ) + + return result + + +def _flatten(list_of_lists): + return [item for sublist in list_of_lists for item in sublist] + + +def _get_tests(filepath, project, github_job_id): + tests = map(partial(_get_tests_from_json, project, github_job_id), _all_json_files(filepath)) + return _flatten(tests) diff --git a/.github/actions/collect_data/test/data/xla_op_by_op_reports/op-by-op-report-0-86083933793/op_by_op_report-86083933793.json b/.github/actions/collect_data/test/data/xla_op_by_op_reports/op-by-op-report-0-86083933793/op_by_op_report-86083933793.json new file mode 100644 index 00000000..b2cfc606 --- /dev/null +++ b/.github/actions/collect_data/test/data/xla_op_by_op_reports/op-by-op-report-0-86083933793/op_by_op_report-86083933793.json @@ -0,0 +1 @@ +{"created": 1783590395.4572809, "duration": 1075.0614132881165, "exitcode": 0, "root": "/__w/tt-xla/tt-xla", "environment": {}, "summary": {"passed": 1, "total": 1, "collected": 1}, "collectors": [{"nodeid": "", "outcome": "passed", "result": [{"nodeid": "tests/op_by_op/op_by_op_test.py::test_op_by_op", "type": "Function", "lineno": 131}]}], "tests": [{"nodeid": "tests/op_by_op/op_by_op_test.py::test_op_by_op", "lineno": 131, "outcome": "passed", "keywords": ["test_op_by_op", "op_by_op_test.py", "op_by_op", "tests", "tt-xla", ""], "setup": {"duration": 28.24184336140752, "outcome": "passed"}, "call": {"duration": 1043.8156190440059, "outcome": "passed"}, "user_properties": [{"tags": {"test_name": "test_op_by_op", "specific_test_case": "test_op_by_op"}}, {"owner": "tt-xla"}, {"total_ops_before_filtering": 5722}, {"total_ops_after_filtering": 340}, {"ir_folder": "collected_irs"}, {"ir_file_prefix": "irs/shlo_compiler"}, {"compile_only": false}, {"whitelist": null}, {"blacklist": null}, 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layout=None, grid_shape=None)]", "outputs": "[TensorDesc(shape=[3, 640, 640], data_type='bf16', buffer_type=None, layout=None, grid_shape=None)]", "op_params": "None"}}, {"OpTest model for: stablehlo.reshape": {"github_job_id": "None", "full_test_name": "None", "test_start_ts": "2026-07-09T09:27:51.431894", "test_end_ts": "2026-07-09T09:36:52.033026", "test_case_name": "None", "filepath": "None", "success": "True", "skipped": "False", "error_message": "None", "config": "None", "frontend": "None", "model_name": "pytorch_Panoptic Segmentation_ResNet50_Backbone_1x_COCO_cv_panoptic_seg_detectron2", "op_kind": "None", "op_name": "stablehlo.reshape", "framework_op_name": "None", "inputs": "[TensorDesc(shape=[3, 1, 1], data_type='bf16', buffer_type=None, layout=None, grid_shape=None)]", "outputs": "[TensorDesc(shape=[3], data_type='bf16', buffer_type=None, layout=None, grid_shape=None)]", "op_params": "None"}}, {"OpTest model for: stablehlo.broadcast_in_dim": {"github_job_id": "None", "full_test_name": "None", "test_start_ts": "2026-07-09T09:27:51.431894", "test_end_ts": "2026-07-09T09:36:54.565639", "test_case_name": "None", "filepath": "None", "success": "True", "skipped": "False", "error_message": "None", "config": "None", "frontend": "None", "model_name": "pytorch_Panoptic Segmentation_ResNet50_Backbone_1x_COCO_cv_panoptic_seg_detectron2", "op_kind": "None", "op_name": "stablehlo.broadcast_in_dim", "framework_op_name": "None", "inputs": "[TensorDesc(shape=[3], data_type='bf16', buffer_type=None, layout=None, grid_shape=None)]", "outputs": "[TensorDesc(shape=[3, 640, 640], data_type='bf16', buffer_type=None, layout=None, grid_shape=None)]", "op_params": "None"}}, {"OpTest model for: stablehlo.subtract": {"github_job_id": "None", "full_test_name": "None", "test_start_ts": "2026-07-09T09:27:51.431894", "test_end_ts": "2026-07-09T09:36:57.220138", "test_case_name": "None", "filepath": "None", "success": "True", "skipped": "False", "error_message": "None", "config": "None", "frontend": "None", "model_name": "pytorch_Panoptic Segmentation_ResNet50_Backbone_1x_COCO_cv_panoptic_seg_detectron2", "op_kind": "None", "op_name": "stablehlo.subtract", "framework_op_name": "None", "inputs": "[TensorDesc(shape=[3, 640, 640], data_type='bf16', buffer_type=None, layout=None, grid_shape=None), TensorDesc(shape=[3, 640, 640], data_type='bf16', buffer_type=None, layout=None, grid_shape=None)]", "outputs": "[TensorDesc(shape=[3, 640, 640], data_type='bf16', buffer_type=None, layout=None, grid_shape=None)]", "op_params": "None"}}, {"OpTest model for: stablehlo.divide": {"github_job_id": "None", "full_test_name": "None", "test_start_ts": "2026-07-09T09:27:51.431894", "test_end_ts": "2026-07-09T09:36:59.557875", "test_case_name": "None", "filepath": "None", "success": "True", "skipped": "False", "error_message": "None", "config": "None", "frontend": "None", "model_name": "pytorch_Panoptic Segmentation_ResNet50_Backbone_1x_COCO_cv_panoptic_seg_detectron2", "op_kind": 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Please switch to `torch.compile` or `torch.export`.", "category": "DeprecationWarning", "when": "config", "filename": "/__w/tt-xla/tt-xla/venv/lib/python3.12/site-packages/torch/jit/_script.py", "lineno": 362}, {"message": "`torch.jit.script_method` is deprecated. Please switch to `torch.compile` or `torch.export`.", "category": "DeprecationWarning", "when": "config", "filename": "/__w/tt-xla/tt-xla/venv/lib/python3.12/site-packages/torch/jit/_script.py", "lineno": 362}, {"message": "`torch.jit.script_method` is deprecated. Please switch to `torch.compile` or `torch.export`.", "category": "DeprecationWarning", "when": "config", "filename": "/__w/tt-xla/tt-xla/venv/lib/python3.12/site-packages/torch/jit/_script.py", "lineno": 362}, {"message": "`torch.jit.script_method` is deprecated. Please switch to `torch.compile` or `torch.export`.", "category": "DeprecationWarning", "when": "config", "filename": "/__w/tt-xla/tt-xla/venv/lib/python3.12/site-packages/torch/jit/_script.py", "lineno": 362}, {"message": "`torch.jit.script_method` is deprecated. Please switch to `torch.compile` or `torch.export`.", "category": "DeprecationWarning", "when": "config", "filename": "/__w/tt-xla/tt-xla/venv/lib/python3.12/site-packages/torch/jit/_script.py", "lineno": 362}, {"message": "`torch.jit.script_method` is deprecated. Please switch to `torch.compile` or `torch.export`.", "category": "DeprecationWarning", "when": "config", "filename": "/__w/tt-xla/tt-xla/venv/lib/python3.12/site-packages/torch/jit/_script.py", "lineno": 362}, {"message": "`torch.jit.script_method` is deprecated. Please switch to `torch.compile` or `torch.export`.", "category": "DeprecationWarning", "when": "config", "filename": "/__w/tt-xla/tt-xla/venv/lib/python3.12/site-packages/torch/jit/_script.py", "lineno": 362}, {"message": "`torch.jit.script_method` is deprecated. Please switch to `torch.compile` or `torch.export`.", "category": "DeprecationWarning", "when": "config", "filename": "/__w/tt-xla/tt-xla/venv/lib/python3.12/site-packages/torch/jit/_script.py", "lineno": 362}, {"message": "builtin type SwigPyPacked has no __module__ attribute", "category": "DeprecationWarning", "when": "config", "filename": "", "lineno": 488}, {"message": "builtin type SwigPyObject has no __module__ attribute", "category": "DeprecationWarning", "when": "config", "filename": "", "lineno": 488}, {"message": "`torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead", "category": "FutureWarning", "when": "runtest", "filename": "/__w/tt-xla/tt-xla/tests/conftest.py", "lineno": 530}, {"message": "`torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead", "category": "FutureWarning", "when": "runtest", "filename": "/__w/tt-xla/tt-xla/tests/conftest.py", "lineno": 534}]} diff --git a/.github/actions/collect_data/test/test_xla_pytest_parser.py b/.github/actions/collect_data/test/test_xla_pytest_parser.py new file mode 100644 index 00000000..a588ed1e --- /dev/null +++ b/.github/actions/collect_data/test/test_xla_pytest_parser.py @@ -0,0 +1,27 @@ +# SPDX-FileCopyrightText: (c) 2026 Tenstorrent AI ULC +# +# SPDX-License-Identifier: Apache-2.0 + +import pytest +import os +from parsers.tt_xla_op_by_op_parser import TTXlaOpByOpParser +from typing import Any + +# Path where all test reports for testing are stored +REPORTS_PATH: str = "test/data/xla_op_by_op_reports/" + + +@pytest.mark.parametrize( + "dirname,expected", + [ + ("op-by-op-report-0-86083933793", {"num_tests": 340}), + ("op-by-op-report-1-86083933787", {"num_tests": 83}), + ("op-by-op-report-2-86083933790", {"num_tests": 214}), + ], +) +def test_xla_op_by_op_parser(dirname: str, expected: dict[str, Any]): + filepath = os.path.join(REPORTS_PATH, dirname) + parser = TTXlaOpByOpParser() + assert parser.can_parse(filepath) + tests = parser.parse(filepath) + assert len(tests) == expected["num_tests"] From 69a04951bec8d45cf6d0c33b8dba03dd555754f4 Mon Sep 17 00:00:00 2001 From: Nebojsa Sumrak Date: Thu, 9 Jul 2026 16:08:10 +0200 Subject: [PATCH 2/5] fix errors --- .github/actions/collect_data/src/cicd.py | 6 +++++- .github/actions/collect_data/src/optests.py | 6 +++--- .../collect_data/src/parsers/tt_xla_op_by_op_parser.py | 5 +++++ 3 files changed, 13 insertions(+), 4 deletions(-) diff --git a/.github/actions/collect_data/src/cicd.py b/.github/actions/collect_data/src/cicd.py index 9483d0e6..d519686c 100644 --- a/.github/actions/collect_data/src/cicd.py +++ b/.github/actions/collect_data/src/cicd.py @@ -120,7 +120,11 @@ def get_github_job_id_to_test_reports( file_path = pathlib.Path(root) / file filename = file_path.name try: - job_id = int(filename.split(".")[-2].split("_")[-1]) + stem = filename.split(".")[-2] + # Handle both underscore-separated (report_12345.json) + # and hyphen-separated (report-12345.json) job IDs + last_part = stem.split("_")[-1] + job_id = int(last_part.split("-")[-1]) except ValueError: logger.warning(f"Could not extract job ID from {filename}") continue diff --git a/.github/actions/collect_data/src/optests.py b/.github/actions/collect_data/src/optests.py index 7e478465..c02584c8 100644 --- a/.github/actions/collect_data/src/optests.py +++ b/.github/actions/collect_data/src/optests.py @@ -55,7 +55,7 @@ def should_use_tt_xla_op_by_op_parser(test_report: str) -> bool: :param test_report: Filename of the test report """ - return "op_by_op" in str(test_report) + return "op_by_op" in str(test_report) and str(test_report).endswith(".json") def create_optest_reports(pipeline, workflow_outputs_dir): @@ -67,9 +67,9 @@ def create_optest_reports(pipeline, workflow_outputs_dir): git_branch = getattr(pipeline, "git_branch_name", "") logger.info(f"Processing OpTest pipeline on branch: {git_branch}") - # Search for reports with both `.tar` & `.xml` extensions. + # Search for reports with `.tar`, `.xml` & `.json` extensions. github_job_id_to_test_reports = get_github_job_id_to_test_reports( - workflow_outputs_dir, pipeline.github_pipeline_id, [".tar", ".xml"] + workflow_outputs_dir, pipeline.github_pipeline_id, [".tar", ".xml", ".json"] ) if len(github_job_id_to_test_reports) == 0: diff --git a/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py b/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py index 5b39e497..6399323b 100644 --- a/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py +++ b/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py @@ -34,6 +34,11 @@ def parse( def _all_json_files(filepath): + filepath = str(filepath) + if os.path.isfile(filepath): + if filepath.endswith(".json") and not os.path.basename(filepath).startswith("."): + yield filepath + return for root, dirs, files in os.walk(filepath): for file in files: if file.endswith(".json") and not file.startswith("."): From f421ad713cc14d23648d57766eebe8d2305d06e0 Mon Sep 17 00:00:00 2001 From: Nebojsa Sumrak Date: Thu, 9 Jul 2026 16:17:33 +0200 Subject: [PATCH 3/5] Apply suggestions from code review Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --- .github/actions/collect_data/src/cicd.py | 2 +- .../src/parsers/tt_xla_op_by_op_parser.py | 25 +++++++++++++------ .../test/test_xla_pytest_parser.py | 4 +-- 3 files changed, 20 insertions(+), 11 deletions(-) diff --git a/.github/actions/collect_data/src/cicd.py b/.github/actions/collect_data/src/cicd.py index d519686c..7b5b580d 100644 --- a/.github/actions/collect_data/src/cicd.py +++ b/.github/actions/collect_data/src/cicd.py @@ -120,7 +120,7 @@ def get_github_job_id_to_test_reports( file_path = pathlib.Path(root) / file filename = file_path.name try: - stem = filename.split(".")[-2] + stem = pathlib.Path(filename).stem # Handle both underscore-separated (report_12345.json) # and hyphen-separated (report-12345.json) job IDs last_part = stem.split("_")[-1] diff --git a/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py b/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py index 6399323b..4d0d0cf7 100644 --- a/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py +++ b/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py @@ -9,15 +9,13 @@ from datetime import datetime from pydantic_models import OpTest, TensorDesc from .parser import Parser -from enum import IntEnum from typing import Optional from pydantic import ValidationError from shared import failure_happened class TTXlaOpByOpParser(Parser): - """Parser for python unitest report files.""" - + """Parser for python unittest report files.""" def can_parse(self, filepath: str): # Remove trailing slash if present filepath = filepath.rstrip("/") @@ -50,10 +48,22 @@ def _get_tests_from_json(project, github_job_id, filepath): data = json.load(fd) # Extract OpTest entries from tests/user_properties - if "tests" not in data or len(data["tests"]) == 0: + tests = data.get("tests") or [] + if len(tests) == 0: return - user_properties = data["tests"][0].get("user_properties", []) + for test_entry in tests: + user_properties = test_entry.get("user_properties", []) + + for prop in user_properties: + # Look for entries with "OpTest model for: *" as the key + for key, test_data in prop.items(): + if key.startswith("OpTest model for:"): + # Extract op name from the key + op_name = key.replace("OpTest model for:", "").strip() + test_obj = _get_pydantic_test(filepath, op_name, test_data, project, github_job_id) + if test_obj is not None: + yield test_obj for prop in user_properties: # Look for entries with "OpTest model for: *" as the key @@ -98,10 +108,9 @@ def _get_pydantic_test(filepath, name, test, project, github_job_id, default_tim test_start_ts=test_start_ts, test_end_ts=test_end_ts, test_case_name=name, - filepath=filepath, success=success, skipped=skipped, - error_message=error_message, + message=error_message, config=config, frontend=project, model_name=model_name, @@ -187,7 +196,7 @@ def _parse_tensor_desc_list(tensor_str): def _flatten(list_of_lists): - return [item for sublist in list_of_lists for item in sublist] + return [item for sublist in list_of_lists for item in sublist if item is not None] def _get_tests(filepath, project, github_job_id): diff --git a/.github/actions/collect_data/test/test_xla_pytest_parser.py b/.github/actions/collect_data/test/test_xla_pytest_parser.py index a588ed1e..099f06b6 100644 --- a/.github/actions/collect_data/test/test_xla_pytest_parser.py +++ b/.github/actions/collect_data/test/test_xla_pytest_parser.py @@ -23,5 +23,5 @@ def test_xla_op_by_op_parser(dirname: str, expected: dict[str, Any]): filepath = os.path.join(REPORTS_PATH, dirname) parser = TTXlaOpByOpParser() assert parser.can_parse(filepath) - tests = parser.parse(filepath) - assert len(tests) == expected["num_tests"] + tests = parser.parse(filepath, project="tt-xla", github_job_id=0) + assert len(list(filter(None, tests))) == expected["num_tests"] From c68a4658ff41ea46dd3de644f3de4f0fcbcab69c Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 9 Jul 2026 14:22:55 +0000 Subject: [PATCH 4/5] Fix XLA op-by-op parser regression --- .../collect_data/src/parsers/tt_xla_op_by_op_parser.py | 10 +--------- 1 file changed, 1 insertion(+), 9 deletions(-) diff --git a/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py b/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py index 4d0d0cf7..061be626 100644 --- a/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py +++ b/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py @@ -65,15 +65,6 @@ def _get_tests_from_json(project, github_job_id, filepath): if test_obj is not None: yield test_obj - for prop in user_properties: - # Look for entries with "OpTest model for: *" as the key - for key, test_data in prop.items(): - if key.startswith("OpTest model for:"): - # Extract op name from the key - op_name = key.replace("OpTest model for:", "").strip() - yield _get_pydantic_test(filepath, op_name, test_data, project, github_job_id) - - def _get_pydantic_test(filepath, name, test, project, github_job_id, default_timestamp=datetime.now()): # Parse timestamps from test data test_start_ts = ( @@ -108,6 +99,7 @@ def _get_pydantic_test(filepath, name, test, project, github_job_id, default_tim test_start_ts=test_start_ts, test_end_ts=test_end_ts, test_case_name=name, + filepath=filepath, success=success, skipped=skipped, message=error_message, From 62a4778d355d586ed84451212ca49e6e93a65bbc Mon Sep 17 00:00:00 2001 From: Nebojsa Sumrak Date: Thu, 9 Jul 2026 16:26:41 +0200 Subject: [PATCH 5/5] fix precommit --- .../actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py b/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py index 061be626..dabb253f 100644 --- a/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py +++ b/.github/actions/collect_data/src/parsers/tt_xla_op_by_op_parser.py @@ -16,6 +16,7 @@ class TTXlaOpByOpParser(Parser): """Parser for python unittest report files.""" + def can_parse(self, filepath: str): # Remove trailing slash if present filepath = filepath.rstrip("/") @@ -65,6 +66,7 @@ def _get_tests_from_json(project, github_job_id, filepath): if test_obj is not None: yield test_obj + def _get_pydantic_test(filepath, name, test, project, github_job_id, default_timestamp=datetime.now()): # Parse timestamps from test data test_start_ts = (