Skip to content

Don't fail with "AssertionError: Not enough CUDA devices to support n_devices 2" when there aren't 2 GPUs #4

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

Open
JasonGross wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Don't fail with "AssertionError: Not enough CUDA devices to support n_devices 2" when there aren't 2 GPUs #4

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
7 changes: 6 additions & 1 deletion intervention/days_of_week_task.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@

import numpy as np
import transformer_lens
import torch
from task import Problem, get_acts, plot_pca, get_all_acts, get_acts_pca
from task import activation_patching

Expand Down Expand Up @@ -148,7 +149,11 @@ def generate_problems(self):

def get_model(self):
if self.n_devices is None:
self.n_devices = 2 if "llama" == self.model_name else 1
self.n_devices = (
min(2, max(1, torch.cuda.device_count()))
if "llama" == self.model_name
else 1
)
if self._lazy_model is None:
if self.model_name == "mistral":
self._lazy_model = transformer_lens.HookedTransformer.from_pretrained(
Expand Down
7 changes: 6 additions & 1 deletion intervention/months_of_year_task.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@

import numpy as np
import transformer_lens
import torch
from task import Problem, get_acts, plot_pca, get_all_acts, get_acts_pca
from task import activation_patching

Expand Down Expand Up @@ -159,7 +160,11 @@ def generate_problems(self):

def get_model(self):
if self.n_devices is None:
self.n_devices = 2 if "llama" == self.model_name else 1
self.n_devices = (
min(2, max(1, torch.cuda.device_count()))
if "llama" == self.model_name
else 1
)
if self._lazy_model is None:
if self.model_name == "mistral":
self._lazy_model = transformer_lens.HookedTransformer.from_pretrained(
Expand Down