mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 21:14:14 +08:00
2293fe1024
Changes by apply order:
1. Replace all `".."` and `os.pardir` usage with `os.path.dirname(...)`.
2. Replace nested `os.path.dirname(os.path.dirname(...))` call with `str(Path(...).parent.parent)`.
3. Reorder `.absolute()` ~/ `.resolve()`~ and `.parent`: always resolve the path first.
`.parent{...}.absolute()` -> `.absolute().parent{...}`
4. Replace chained `.parent x N` with `.parents[${N - 1}]`: the code is easier to read (see 5.)
`.parent.parent.parent.parent` -> `.parents[3]`
5. ~Replace `.parents[${N - 1}]` with `.parents[${N} - 1]`: the code is easier to read and does not introduce any runtime overhead.~
~`.parents[3]` -> `.parents[4 - 1]`~
6. ~Replace `.parents[2 - 1]` with `.parent.parent`: because the code is shorter and easier to read.~
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129374
Approved by: https://github.com/justinchuby, https://github.com/malfet
76 lines
2.0 KiB
Python
76 lines
2.0 KiB
Python
import os
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from collections import OrderedDict
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from pathlib import Path
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import torch
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import torch._prims as prims
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from torchgen.gen import parse_native_yaml
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ROOT = Path(__file__).absolute().parents[3]
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NATIVE_FUNCTION_YAML_PATH = ROOT / "aten/src/ATen/native/native_functions.yaml"
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TAGS_YAML_PATH = ROOT / "aten/src/ATen/native/tags.yaml"
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BUILD_DIR = "build/ir"
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ATEN_OPS_CSV_FILE = "aten_ops.csv"
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PRIMS_OPS_CSV_FILE = "prims_ops.csv"
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def get_aten():
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parsed_yaml = parse_native_yaml(NATIVE_FUNCTION_YAML_PATH, TAGS_YAML_PATH)
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native_functions = parsed_yaml.native_functions
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aten_ops = OrderedDict()
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for function in native_functions:
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if "core" in function.tags:
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op_name = str(function.func.name)
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aten_ops[op_name] = function
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op_schema_pairs = []
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for key, op in sorted(aten_ops.items()):
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op_name = f"aten.{key}"
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schema = str(op.func).replace("*", r"\*")
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op_schema_pairs.append((op_name, schema))
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return op_schema_pairs
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def get_prims():
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op_schema_pairs = []
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for op_name in prims.__all__:
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op_overload = getattr(prims, op_name, None)
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if not isinstance(op_overload, torch._ops.OpOverload):
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continue
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op_overloadpacket = op_overload.overloadpacket
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op_name = str(op_overload).replace(".default", "")
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schema = op_overloadpacket.schema.replace("*", r"\*")
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op_schema_pairs.append((op_name, schema))
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return op_schema_pairs
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def main():
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aten_ops_list = get_aten()
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prims_ops_list = get_prims()
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os.makedirs(BUILD_DIR, exist_ok=True)
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with open(os.path.join(BUILD_DIR, ATEN_OPS_CSV_FILE), "w") as f:
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f.write("Operator,Schema\n")
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for name, schema in aten_ops_list:
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f.write(f'"``{name}``","{schema}"\n')
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with open(os.path.join(BUILD_DIR, PRIMS_OPS_CSV_FILE), "w") as f:
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f.write("Operator,Schema\n")
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for name, schema in prims_ops_list:
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f.write(f'"``{name}``","{schema}"\n')
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if __name__ == "__main__":
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main()
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