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(Chore) Bump upper bound for torch version (#2897)

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* Bump upper torch version bound

* Apply suggestion from @Copilot

Signed-off-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com>

* Update ref state dicts for schedulers

* Support older than 2.8 torch versions

* Fix precommit

---------

Signed-off-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com>
This commit is contained in:
Vladislav Sovrasov
2026-02-17 23:37:46 +01:00
committed by GitHub
parent 51d3822d75
commit 1c388c0002
2 changed files with 17 additions and 3 deletions
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pyproject.toml
+3 -3
View File
@@ -76,9 +76,9 @@ dependencies = [
"pyserial>=3.5,<4.0", "pyserial>=3.5,<4.0",
"wandb>=0.24.0,<0.25.0", "wandb>=0.24.0,<0.25.0",
"torch>=2.2.1,<2.8.0", # TODO: Bumb dependency "torch>=2.2.1,<2.11.0", # TODO: Bump dependency
"torchcodec>=0.2.1,<0.6.0; sys_platform != 'win32' and (sys_platform != 'linux' or (platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')) and (sys_platform != 'darwin' or platform_machine != 'x86_64')", # TODO: Bumb dependency "torchcodec>=0.2.1,<0.11.0; sys_platform != 'win32' and (sys_platform != 'linux' or (platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')) and (sys_platform != 'darwin' or platform_machine != 'x86_64')", # TODO: Bump dependency
"torchvision>=0.21.0,<0.23.0", # TODO: Bumb dependency "torchvision>=0.21.0,<0.26.0", # TODO: Bump dependency
"draccus==0.10.0", # TODO: Remove == "draccus==0.10.0", # TODO: Remove ==
"gymnasium>=1.1.1,<2.0.0", "gymnasium>=1.1.1,<2.0.0",
tests/optim/test_schedulers.py
+14
View File
@@ -11,6 +11,8 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and # See the License for the specific language governing permissions and
# limitations under the License. # limitations under the License.
import torch
from packaging.version import Version
from torch.optim.lr_scheduler import LambdaLR from torch.optim.lr_scheduler import LambdaLR
from lerobot.optim.schedulers import ( from lerobot.optim.schedulers import (
@@ -38,6 +40,10 @@ def test_diffuser_scheduler(optimizer):
"last_epoch": 1, "last_epoch": 1,
"lr_lambdas": [None], "lr_lambdas": [None],
} }
if Version(torch.__version__) >= Version("2.8"):
expected_state_dict["_is_initial"] = False
assert scheduler.state_dict() == expected_state_dict assert scheduler.state_dict() == expected_state_dict
@@ -56,6 +62,10 @@ def test_vqbet_scheduler(optimizer):
"last_epoch": 1, "last_epoch": 1,
"lr_lambdas": [None], "lr_lambdas": [None],
} }
if Version(torch.__version__) >= Version("2.8"):
expected_state_dict["_is_initial"] = False
assert scheduler.state_dict() == expected_state_dict assert scheduler.state_dict() == expected_state_dict
@@ -76,6 +86,10 @@ def test_cosine_decay_with_warmup_scheduler(optimizer):
"last_epoch": 1, "last_epoch": 1,
"lr_lambdas": [None], "lr_lambdas": [None],
} }
if Version(torch.__version__) >= Version("2.8"):
expected_state_dict["_is_initial"] = False
assert scheduler.state_dict() == expected_state_dict assert scheduler.state_dict() == expected_state_dict