output for annotation_str benchmark with https://github.com/pytorch/pytorch/pull/96215

tupleopt.txt

Nesting level: 1
output: Dict[str, Tuple[str, str]]
<torch.utils.benchmark.utils.common.Measurement object at 0x7f6969bb1f40>
x.annotation_str
  Median: 18.42 us
  IQR:    1.04 us (17.86 to 18.90)
  108 measurements, 100 runs per measurement, 1 thread
Nesting level: 3
output: Dict[str, Tuple[Dict[str, Tuple[Dict[str, Tuple[str, str]], Dict[str,
<torch.utils.benchmark.utils.common.Measurement object at 0x7f6969bb1e80>
x.annotation_str
  Median: 61.76 us
  IQR:    3.67 us (60.64 to 64.31)
  27 measurements, 100 runs per measurement, 1 thread
Nesting level: 5
output: Dict[str, Tuple[Dict[str, Tuple[Dict[str, Tuple[Dict[str, Tuple[Dict[s
<torch.utils.benchmark.utils.common.Measurement object at 0x7f6969bb1f40>
x.annotation_str
  Median: 241.53 us
  IQR:    18.48 us (234.81 to 253.29)
  75 measurements, 10 runs per measurement, 1 thread
Nesting level: 10
output: Dict[str, Tuple[Dict[str, Tuple[Dict[str, Tuple[Dict[str, Tuple[Dict[s
<torch.utils.benchmark.utils.common.Measurement object at 0x7f6969bb1e80>
x.annotation_str
  Median: 7.94 ms
  IQR:    0.34 ms (7.71 to 8.05)
  25 measurements, 1 runs per measurement, 1 thread

second run:

Nesting level: 1
output: Dict[str, Tuple[str, str]]
<torch.utils.benchmark.utils.common.Measurement object at 0x7f6a1b243f40>
x.annotation_str
  Median: 18.33 us
  IQR:    1.06 us (17.73 to 18.79)
  109 measurements, 100 runs per measurement, 1 thread
Nesting level: 3
output: Dict[str, Tuple[Dict[str, Tuple[Dict[str, Tuple[str, str]], Dict[str,
<torch.utils.benchmark.utils.common.Measurement object at 0x7f6a1b243e80>
x.annotation_str
  Median: 63.19 us
  IQR:    4.14 us (61.83 to 65.97)
  28 measurements, 100 runs per measurement, 1 thread
Nesting level: 5
output: Dict[str, Tuple[Dict[str, Tuple[Dict[str, Tuple[Dict[str, Tuple[Dict[s
<torch.utils.benchmark.utils.common.Measurement object at 0x7f6a1b243f40>
x.annotation_str
  Median: 247.22 us
  IQR:    13.91 us (240.06 to 253.97)
  74 measurements, 10 runs per measurement, 1 thread
Nesting level: 10
output: Dict[str, Tuple[Dict[str, Tuple[Dict[str, Tuple[Dict[str, Tuple[Dict[s
<torch.utils.benchmark.utils.common.Measurement object at 0x7f6a1b243e80>
x.annotation_str
  Median: 7.67 ms
  IQR:    0.30 ms (7.56 to 7.86)
  26 measurements, 1 runs per measurement, 1 thread