Files
ColossalAI/colossalai/fx/profiler/profiler_function/linear.py
Super Daniel 32efe8e740 [fx] add profiler for fx nodes. (#1480)
* [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages

* [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages

* [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages

* [fx] merge development into main (#1)

* [fx] activation checkpointing using Chen strategies.

* [fx] add test for ckpt_solver_chen

* [fx] add vanilla activation checkpoint search with test on resnet and densenet

* [fx] add a namespace code for solver_chen.

* [fx] fix the false interpretation of algorithm 3 in https://arxiv.org/abs/1604.06174.

* [fx] fix lowercase naming conventions.

* [fx] simplify test for ckpt.

* [fx] add rules to linearize computation graphs for searching. (#2)

* [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages

* [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages

* [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages

* [fx] merge development into main (#1)

* [fx] activation checkpointing using Chen strategies.

* [fx] add test for ckpt_solver_chen

* [fx] add vanilla activation checkpoint search with test on resnet and densenet

* [fx] add a namespace code for solver_chen.

* [fx] fix the false interpretation of algorithm 3 in https://arxiv.org/abs/1604.06174.

* [fx] fix lowercase naming conventions.

* [fx] simplify test for ckpt.

* [fx] fix test and algorithm bugs in activation checkpointing.

* [fx] polish ckpt_test.

* [fx] add rules to linearize computation graphs for searching.

* [fx] remove chen_sqrt for sake of simplicity

* [fx] remove chen_sqrt for sake of simplicity

* [fx] remove chen_sqrt for sake of simplicity

* [fx] remove chen_sqrt for sake of simplicity

* [fx] fix inconsistencies.

* [fx] fix MetaInfoProp.

* [fx] fix MetaInfoProp.

* [fx] consider MetaInfoProp for inplace operands.

* [fx] consider MetaInfoProp for inplace operands.

* [fx] consider MetaInfoProp for inplace operands.

* [fx] consider MetaInfoProp for inplace operands.

* [fx] consider MetaInfoProp for inplace operands.

* [fx] add profiler for fx nodes.

* [fx] add profiler for fx nodes.

* [fx] add profiler for fx nodes.

* [fx] add profiler for fx nodes.

* [fx] add profiler for fx nodes.

* [fx] add profiler for fx nodes.

* [fx] add profiler for fx nodes.

* [fx] fix error in tests.

* [fx] unfix bug.

* [fx] unfix bug.
2022-08-24 16:22:44 +08:00

14 lines
436 B
Python

from typing import Tuple
import torch
from ..registry import meta_profiler_function
@meta_profiler_function.register(torch.nn.functional.linear)
def torch_nn_linear(input: torch.Tensor, weight: torch.Tensor, bias: torch.Tensor = None) -> Tuple[int, int]:
out_features = weight.shape[0]
macs = torch.numel(input) * out_features
flops = 2 * macs
if bias is not None:
flops += bias.numel()
return flops, macs