Created
March 8, 2023 20:18
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benchmark output for dict annotation_str optimization
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Nesting level: 1 | |
output: Dict[str, Tuple[str, str]] | |
<torch.utils.benchmark.utils.common.Measurement object at 0x7f8a3a31ff40> | |
x.annotation_str | |
Median: 20.85 us | |
IQR: 0.67 us (20.55 to 21.22) | |
95 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 0x7f8a3a31fe80> | |
x.annotation_str | |
Median: 57.59 us | |
IQR: 3.53 us (55.84 to 59.38) | |
35 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 0x7f8a3a31ff40> | |
x.annotation_str | |
Median: 204.34 us | |
IQR: 15.78 us (197.60 to 213.38) | |
80 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 0x7f8a3a31fe80> | |
x.annotation_str | |
Median: 6.26 ms | |
IQR: 0.28 ms (6.09 to 6.38) | |
30 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 0x7f6039364f10> | |
x.annotation_str | |
Median: 19.11 us | |
IQR: 1.10 us (18.60 to 19.70) | |
105 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 0x7f6039364eb0> | |
x.annotation_str | |
Median: 57.13 us | |
IQR: 2.67 us (56.08 to 58.76) | |
35 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 0x7f6039364f10> | |
x.annotation_str | |
Median: 199.50 us | |
IQR: 22.21 us (190.54 to 212.76) | |
83 measurements, 10 runs per measurement, 1 thread | |
WARNING: Interquartile range is 11.1% of the median measurement. | |
This could indicate system fluctuation. | |
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 0x7f6039364eb0> | |
x.annotation_str | |
Median: 6.48 ms | |
IQR: 0.61 ms (6.05 to 6.66) | |
29 measurements, 1 runs per measurement, 1 thread |
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