Update

[ghstack-poisoned]

test/test_cost.py

@@ -7,57 +7,47 @@
 import functools
 import itertools
 import operator
+
+import sys
 import warnings
 from copy import deepcopy
 from dataclasses import asdict, dataclass
 
-from packaging import version as pack_version
+import numpy as np
+import pytest
+import torch
+from _utils_internal import (  # noqa
+    dtype_fixture,
+    get_available_devices,
+    get_default_devices,
+)
+from mocking_classes import ContinuousActionConvMockEnv
+
+from packaging import version, version as pack_version
+
+from tensordict import assert_allclose_td, TensorDict, TensorDictBase
 from tensordict._C import unravel_keys
 from tensordict.nn import (
     CompositeDistribution,
     InteractionType,
+    NormalParamExtractor,
     ProbabilisticTensorDictModule,
     ProbabilisticTensorDictModule as ProbMod,
     ProbabilisticTensorDictSequential,
     ProbabilisticTensorDictSequential as ProbSeq,
+    TensorDictModule,
     TensorDictModule as Mod,
     TensorDictSequential,
     TensorDictSequential as Seq,
 )
-from torchrl.envs.utils import exploration_type, ExplorationType, set_exploration_type
-from torchrl.modules.models import QMixer
-
-_has_functorch = True
-try:
-    import functorch as ft  # noqa
-
-    make_functional_with_buffers = ft.make_functional_with_buffers
-    FUNCTORCH_ERR = ""
-except ImportError as err:
-    _has_functorch = False
-    FUNCTORCH_ERR = str(err)
-
-import numpy as np
-import pytest
-import torch
-from _utils_internal import (  # noqa
-    dtype_fixture,
-    get_available_devices,
-    get_default_devices,
-)
-from mocking_classes import ContinuousActionConvMockEnv
-from packaging import version
-
-# from torchrl.data.postprocs.utils import expand_as_right
-from tensordict import assert_allclose_td, TensorDict, TensorDictBase
-from tensordict.nn import NormalParamExtractor, TensorDictModule
 from tensordict.nn.utils import Buffer
 from tensordict.utils import unravel_key
 from torch import autograd, nn
 from torchrl.data import Bounded, Categorical, Composite, MultiOneHot, OneHot, Unbounded
 from torchrl.data.postprocs.postprocs import MultiStep
 from torchrl.envs.model_based.dreamer import DreamerEnv
 from torchrl.envs.transforms import TensorDictPrimer, TransformedEnv
+from torchrl.envs.utils import exploration_type, ExplorationType, set_exploration_type
 from torchrl.modules import (
     DistributionalQValueActor,
     OneHotCategorical,
@@ -66,6 +56,7 @@
     WorldModelWrapper,
 )
 from torchrl.modules.distributions.continuous import TanhDelta, TanhNormal
+from torchrl.modules.models import QMixer
 from torchrl.modules.models.model_based import (
     DreamerActor,
     ObsDecoder,
@@ -147,7 +138,18 @@
     _split_and_pad_sequence,
 )
 
+_has_functorch = True
+try:
+    import functorch as ft  # noqa
+
+    make_functional_with_buffers = ft.make_functional_with_buffers
+    FUNCTORCH_ERR = ""
+except ImportError as err:
+    _has_functorch = False
+    FUNCTORCH_ERR = str(err)
+
 TORCH_VERSION = version.parse(version.parse(torch.__version__).base_version)
+IS_WINDOWS = sys.platform == "win32"
 
 # Capture all warnings
 pytestmark = [
@@ -15735,7 +15737,13 @@ def __init__(self):
 @pytest.mark.skipif(
     TORCH_VERSION < version.parse("2.5.0"), reason="requires torch>=2.5"
 )
+@pytest.mark.skipif(IS_WINDOWS, reason="windows tests do not support compile")
 def test_exploration_compile():
+    try:
+        torch._dynamo.reset_code_caches()
+    except Exception:
+        # older versions of PT don't have that function
+        pass
     m = ProbabilisticTensorDictModule(
         in_keys=["loc", "scale"],
         out_keys=["sample"],