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Framework split model report (#15825)

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Lysandre Debut 2022-02-25 18:00:00 +01:00 committed by GitHub
parent 0118c4f6a8
commit 0b5bf6abef
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1 changed files with 53 additions and 16 deletions
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69
utils/notification_service.py
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@ -241,34 +241,71 @@ class Message:
def per_model_sum(model_category_dict): def per_model_sum(model_category_dict):
return dicts_to_sum(model_category_dict["failed"].values()) return dicts_to_sum(model_category_dict["failed"].values())
failures = {k: per_model_sum(v) for k, v in self.model_results.items() if sum(per_model_sum(v).values())} failures = {}
non_model_failures = {
k: per_model_sum(v) for k, v in self.model_results.items() if sum(per_model_sum(v).values())
}
for k, v in self.model_results.items():
if k in NON_MODEL_TEST_MODULES:
pass
if sum(per_model_sum(v).values()):
dict_failed = dict(v["failed"])
pytorch_specific_failures = dict_failed.pop("PyTorch")
tensorflow_specific_failures = dict_failed.pop("TensorFlow")
other_failures = dicts_to_sum(dict_failed.values())
failures[k] = {
"PyTorch": pytorch_specific_failures,
"TensorFlow": tensorflow_specific_failures,
"other": other_failures,
}
model_reports = [] model_reports = []
other_module_reports = [] other_module_reports = []
for key, value in failures.items():
device_report = self.get_device_report(value)
if sum(value.values()): for key, value in non_model_failures.items():
if device_report: if key in NON_MODEL_TEST_MODULES:
report = f"{device_report}{key}" device_report = self.get_device_report(value)
else:
report = key if sum(value.values()):
if device_report:
report = f"{device_report}{key}"
else:
report = key
if key in NON_MODEL_TEST_MODULES:
other_module_reports.append(report) other_module_reports.append(report)
else:
model_reports.append(report)
header = "Single | Multi | Category\n" for key, value in failures.items():
model_failures_report = header + "\n".join(sorted(model_reports, key=lambda s: s.split("] ")[-1])) device_report_values = [
module_failures_report = header + "\n".join(sorted(other_module_reports, key=lambda s: s.split("] ")[-1])) value["PyTorch"]["single"],
value["PyTorch"]["multi"],
value["TensorFlow"]["single"],
value["TensorFlow"]["multi"],
sum(value["other"].values()),
]
if sum(device_report_values):
device_report = " | ".join([str(x).rjust(9) for x in device_report_values]) + " | "
report = f"{device_report}{key}"
model_reports.append(report)
model_header = "Single PT | Multi PT | Single TF | Multi TF | Other | Category\n"
sorted_model_reports = sorted(model_reports, key=lambda s: s.split("] ")[-1])
model_failures_report = model_header + "\n".join(sorted_model_reports)
module_header = "Single | Multi | Category\n"
sorted_module_reports = sorted(other_module_reports, key=lambda s: s.split("] ")[-1])
module_failures_report = module_header + "\n".join(sorted_module_reports)
report = "" report = ""
if len(model_failures_report): if len(model_reports):
report += f"These following model modules had failures:\n```\n{model_failures_report}\n```\n\n" report += f"These following model modules had failures:\n```\n{model_failures_report}\n```\n\n"
if len(module_failures_report): if len(other_module_reports):
report += f"The following non-model modules had failures:\n```\n{module_failures_report}\n```\n\n" report += f"The following non-model modules had failures:\n```\n{module_failures_report}\n```\n\n"
return {"type": "section", "text": {"type": "mrkdwn", "text": report}} return {"type": "section", "text": {"type": "mrkdwn", "text": report}}