Skip to content
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.

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

[Refactor] Use default device instead of CPU in losses #2687

Merged
merged 9 commits into from
Jan 16, 2025
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
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
2 changes: 1 addition & 1 deletion torchrl/objectives/cql.py
Original file line number Diff line number Diff line change
Expand Up @@ -324,7 +324,7 @@ def __init__(
try:
device = next(self.parameters()).device
except AttributeError:
device = torch.device("cpu")
device = getattr(torch, "get_default_device", lambda: torch.device("cpu"))()
self.register_buffer("alpha_init", torch.tensor(alpha_init, device=device))
if bool(min_alpha) ^ bool(max_alpha):
min_alpha = min_alpha if min_alpha else 0.0
Expand Down
2 changes: 1 addition & 1 deletion torchrl/objectives/crossq.py
Original file line number Diff line number Diff line change
Expand Up @@ -307,7 +307,7 @@ def __init__(
try:
device = next(self.parameters()).device
except AttributeError:
device = torch.device("cpu")
device = getattr(torch, "get_default_device", lambda: torch.device("cpu"))()
self.register_buffer("alpha_init", torch.tensor(alpha_init, device=device))
if bool(min_alpha) ^ bool(max_alpha):
min_alpha = min_alpha if min_alpha else 0.0
Expand Down
2 changes: 1 addition & 1 deletion torchrl/objectives/decision_transformer.py
Original file line number Diff line number Diff line change
Expand Up @@ -104,7 +104,7 @@ def __init__(
try:
device = next(self.parameters()).device
except AttributeError:
device = torch.device("cpu")
device = getattr(torch, "get_default_device", lambda: torch.device("cpu"))()

self.register_buffer("alpha_init", torch.tensor(alpha_init, device=device))
if bool(min_alpha) ^ bool(max_alpha):
Expand Down
2 changes: 1 addition & 1 deletion torchrl/objectives/deprecated.py
Original file line number Diff line number Diff line change
Expand Up @@ -203,7 +203,7 @@ def __init__(
try:
device = next(self.parameters()).device
except AttributeError:
device = torch.device("cpu")
device = getattr(torch, "get_default_device", lambda: torch.device("cpu"))()

self.register_buffer("alpha_init", torch.as_tensor(alpha_init, device=device))
self.register_buffer(
Expand Down
2 changes: 1 addition & 1 deletion torchrl/objectives/ppo.py
Original file line number Diff line number Diff line change
Expand Up @@ -393,7 +393,7 @@ def __init__(
try:
device = next(self.parameters()).device
except (AttributeError, StopIteration):
device = torch.device("cpu")
device = getattr(torch, "get_default_device", lambda: torch.device("cpu"))()

self.register_buffer("entropy_coef", torch.tensor(entropy_coef, device=device))
if critic_coef is not None:
Expand Down
2 changes: 1 addition & 1 deletion torchrl/objectives/redq.py
Original file line number Diff line number Diff line change
Expand Up @@ -319,7 +319,7 @@ def __init__(
try:
device = next(self.parameters()).device
except AttributeError:
device = torch.device("cpu")
device = getattr(torch, "get_default_device", lambda: torch.device("cpu"))()

self.register_buffer("alpha_init", torch.tensor(alpha_init, device=device))
self.register_buffer(
Expand Down
4 changes: 2 additions & 2 deletions torchrl/objectives/sac.py
Original file line number Diff line number Diff line change
Expand Up @@ -394,7 +394,7 @@ def __init__(
try:
device = next(self.parameters()).device
except AttributeError:
device = torch.device("cpu")
device = getattr(torch, "get_default_device", lambda: torch.device("cpu"))()
self.register_buffer("alpha_init", torch.tensor(alpha_init, device=device))
if bool(min_alpha) ^ bool(max_alpha):
min_alpha = min_alpha if min_alpha else 0.0
Expand Down Expand Up @@ -1121,7 +1121,7 @@ def __init__(
try:
device = next(self.parameters()).device
except AttributeError:
device = torch.device("cpu")
device = getattr(torch, "get_default_device", lambda: torch.device("cpu"))()

self.register_buffer("alpha_init", torch.tensor(alpha_init, device=device))
if bool(min_alpha) ^ bool(max_alpha):
Expand Down
Loading