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See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter. You can review these PRs via: ```bash git diff --ignore-all-space --ignore-blank-lines HEAD~1 ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/129754 Approved by: https://github.com/ezyang
34 lines
884 B
Python
34 lines
884 B
Python
import torch
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import torch.utils.benchmark as benchmark
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MEMO = {}
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def create_nested_dict_type(layers):
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if layers == 0:
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return torch._C.StringType.get()
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if layers not in MEMO:
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less_nested = create_nested_dict_type(layers - 1)
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result = torch._C.DictType(
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torch._C.StringType.get(), torch._C.TupleType([less_nested, less_nested])
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)
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MEMO[layers] = result
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return MEMO[layers]
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nesting_levels = (1, 3, 5, 10)
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types = (reasonable, medium, big, huge) = [
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create_nested_dict_type(x) for x in nesting_levels
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]
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timers = [
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benchmark.Timer(stmt="x.annotation_str", globals={"x": nested_type})
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for nested_type in types
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]
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for nesting_level, typ, timer in zip(nesting_levels, types, timers):
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print("Nesting level:", nesting_level)
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print("output:", typ.annotation_str[:70])
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print(timer.blocked_autorange())
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