Files
ColossalAI/colossalai/fx/profiler/experimental/profiler_function/python_ops.py
Super Daniel 4f59693207 [fx] provide a stable but not accurate enough version of profiler. (#1547)
* [fx] compute memory stat and flop count for MetaInfoProp.

* [fx] modify node attribute.

* [fx] modify ckpt_chen.

* [fx] fix compatibility.

* [fx] fix import error.

* [fx] skip test for MetaInfoProp.

* [fx] skip test for MetaInfoProp.

* [fx] skip test for MetaInfoProp.

* [fx] skip test for MetaInfoProp.

* [fx] skip if torch 1.11.0.

* [fx] recover MetaInfoProp support for PyTorch 1.11.

* [fx] provide a stable but not accurate enough version of profiler.

* [fx] provide a stable but not accurate enough version of profiler.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix import error.
2022-09-07 11:21:04 +08:00

20 lines
456 B
Python

import operator
from typing import Any, Tuple
import torch
from ..registry import meta_profiler_function
from colossalai.fx.proxy import ColoProxy
@meta_profiler_function.register(operator.getitem)
def operator_getitem(a: Any, b: Any) -> Tuple[int, int]:
flops = 0
macs = 0
return flops, macs
@meta_profiler_function.register(getattr)
def python_getattr(a: Any, b: Any) -> Tuple[int, int]:
flops = 0
macs = 0
return flops, macs