Skip to content

reduce memory #1195

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Draft
wants to merge 2 commits into
base: main
Choose a base branch
from
Draft

reduce memory #1195

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
49fe28e
reduce memory
Qubitium Feb 1, 2025
9bec90d
wrong device
Qubitium Feb 1, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 14 additions & 3 deletions gptqmodel/quantization/gptq.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,8 @@
torch.backends.cuda.matmul.allow_tf32 = False
torch.backends.cudnn.allow_tf32 = False

CPU = torch.device('cpu')
COLUMN_THRESHOLD = 7168

class GPTQ:
def __init__(self, layer):
Expand All @@ -42,7 +44,10 @@ def __init__(self, layer):
self.layer_copy = self._clone_layer()

self.rows, self.columns = self.layer_copy.shape[0], self.layer_copy.shape[1]
self.H = torch.zeros((self.columns, self.columns), device=self.device)
if self.columns >= COLUMN_THRESHOLD:
self.H = torch.zeros((self.columns, self.columns), device=CPU)
else:
self.H = torch.zeros((self.columns, self.columns), device=self.device)
self.nsamples = 0
self.quantizer = Quantizer()

Expand All @@ -66,6 +71,9 @@ def add_batch(self, inp, out):
inp = inp.unsqueeze(0)
tmp = inp.shape[0]

if self.columns >= COLUMN_THRESHOLD:
inp = inp.to(CPU)

if isinstance(self.layer, nn.Linear) or isinstance(self.layer, transformers.Conv1D):
if len(inp.shape) == 3:
inp = inp.reshape((-1, inp.shape[-1]))
Expand Down Expand Up @@ -141,7 +149,10 @@ def quantize(
if not self.quantizer.ready():
self.quantizer.find_params(W, weight=True)

H = self.H
if self.columns >= COLUMN_THRESHOLD:
H = self.H.to(CPU)
else:
H = self.H
del self.H
dead = torch.diag(H) == 0
H[dead, dead] = 1
Expand Down Expand Up @@ -176,7 +187,7 @@ def quantize(
while 1 > percdamp > 0:
try:
damp = percdamp * torch.mean(torch.diag(H))
diag = torch.arange(self.columns, device=self.device)
diag = torch.arange(self.columns, device=H.device)
H[diag, diag] += damp

H = torch.linalg.cholesky(H)
Expand Down