[Refactor] Allow safe-tanh for torch >= 2.6.0

ghstack-source-id: 92df1954451453ee051bbde499f6db5ebaafed49
Pull Request resolved: #2580

torchrl/modules/distributions/continuous.py

@@ -11,13 +11,9 @@
 
 import numpy as np
 import torch
+from packaging import version
 from torch import distributions as D, nn
 
-try:
-    from torch.compiler import assume_constant_result
-except ImportError:
-    from torch._dynamo import assume_constant_result
-
 from torch.distributions import constraints
 from torch.distributions.transforms import _InverseTransform
 
@@ -36,11 +32,20 @@
 # speeds up distribution construction
 D.Distribution.set_default_validate_args(False)
 
+try:
+    from torch.compiler import assume_constant_result
+except ImportError:
+    from torch._dynamo import assume_constant_result
+
 try:
     from torch.compiler import is_dynamo_compiling
 except ImportError:
     from torch._dynamo import is_compiling as is_dynamo_compiling
 
+TORCH_VERSION_PRE_2_6 = version.parse(torch.__version__).base_version < version.parse(
+    "2.6.0"
+)
+
 
 class IndependentNormal(D.Independent):
     """Implements a Normal distribution with location scaling.
@@ -437,7 +442,7 @@ def __init__(
         self.high = high
 
         if safe_tanh:
-            if is_dynamo_compiling():
+            if is_dynamo_compiling() and TORCH_VERSION_PRE_2_6:
                 _err_compile_safetanh()
             t = SafeTanhTransform()
         else:
@@ -772,8 +777,8 @@ def _uniform_sample_delta(dist: Delta, size=None) -> torch.Tensor:
 
 def _err_compile_safetanh():
     raise RuntimeError(
-        "safe_tanh=True in TanhNormal is not compatible with torch.compile. To deactivate it, pass"
-        "safe_tanh=False. "
+        "safe_tanh=True in TanhNormal is not compatible with torch.compile with torch pre 2.6.0. "
+        "To deactivate it, pass safe_tanh=False. "
         "If you are using a ProbabilisticTensorDictModule, this can be done via "
         "`distribution_kwargs={'safe_tanh': False}`. "
         "See https://github.com/pytorch/pytorch/issues/133529 for more details."