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ColossalAI
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add print

pull/2364/head
oahzxl 2022-12-29 14:42:29 +08:00
parent 1d7ca02301
commit 5a916c0adb
1 changed files with 23 additions and 23 deletions
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autochunk_benchmark.py
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@ -1,24 +1,21 @@
import copy
import torch
import torch.nn.functional as F
import pytest
import torch.fx
import torch.multiprocessing as mp
from torch.fx import GraphModule
from colossalai.fx import ColoTracer
import colossalai
from colossalai.utils import free_port
from colossalai.core import global_context as gpc
from colossalai.fx.graph_module import ColoGraphModule
from colossalai.fx.passes.meta_info_prop import MetaInfoProp, TensorMetadata
from colossalai.fx.profiler import MetaTensor
from evoformer.evoformer import evoformer_base
from chunk_codegen import ChunkCodeGen
import time import time
import torch
import torch.fx
def _benchmark_evoformer(model: torch.nn.Module, node, pair): from chunk_codegen import ChunkCodeGen
loop = 10 from colossalai.fx import ColoTracer
from colossalai.fx.graph_module import ColoGraphModule
from colossalai.fx.passes.meta_info_prop import MetaInfoProp
from colossalai.fx.profiler import MetaTensor
from evoformer.evoformer import evoformer_base
def _benchmark_evoformer(model: torch.nn.Module, node, pair, title):
torch.cuda.reset_peak_memory_stats()
now_mem = torch.cuda.memory_allocated() / 1024**2
loop = 16
with torch.no_grad(): with torch.no_grad():
for _ in range(loop // 4): for _ in range(loop // 4):
model(node, pair) model(node, pair)
@ -28,7 +25,12 @@ def _benchmark_evoformer(model: torch.nn.Module, node, pair):
model(node, pair) model(node, pair)
torch.cuda.synchronize() torch.cuda.synchronize()
time2 = time.time() time2 = time.time()
return (time2 - time1) / loop
new_max_mem = torch.cuda.max_memory_allocated() / 1024**2
print(
"%s: time %.4fs, mem %dMB"
% (title, (time2 - time1) / loop, new_max_mem - now_mem)
)
def benchmark_evoformer(): def benchmark_evoformer():
@ -69,10 +71,8 @@ def benchmark_evoformer():
code = graph.python_code("self").src code = graph.python_code("self").src
print(code) print(code)
time_gm = _benchmark_evoformer(gm, node, pair) _benchmark_evoformer(gm, node, pair, "autochunk")
print("gm %.4fs" % time_gm) _benchmark_evoformer(model, node, pair, "openfold")
time_openfold = _benchmark_evoformer(model, node, pair)
print("openfold %.4fs" % time_openfold)
if __name__ == "__main__": if __name__ == "__main__":