Update FA version to 2.5.6 (#714)

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

setup.py

@@ -265,7 +265,7 @@ def setup_requirements() -> Tuple[List[str], List[str], List[str]]:
 
     # Framework-specific requirements
     if "pytorch" in frameworks():
-        add_unique(install_reqs, ["torch", "flash-attn>=2.0.6,<=2.4.2,!=2.0.9,!=2.1.0"])
+        add_unique(install_reqs, ["torch", "flash-attn>=2.0.6,<=2.5.6,!=2.0.9,!=2.1.0"])
         add_unique(test_reqs, ["numpy", "onnxruntime", "torchvision"])
     if "jax" in frameworks():
         if not found_pybind11():

transformer_engine/pytorch/attention.py

@@ -58,6 +58,7 @@ from transformer_engine.pytorch.jit import jit_fuser, no_torch_dynamo
 
 _flash_attn_version = packaging.version.Version(version("flash-attn"))
 _flash_attn_version_required = packaging.version.Version("2.0.6")
+_flash_attn_max_version = packaging.version.Version("2.5.6")
 _flash_attn_2_1_plus = _flash_attn_version >= packaging.version.Version("2.1")
 _flash_attn_2_3_plus = _flash_attn_version >= packaging.version.Version("2.3")
 _flash_attn_2_4_plus = _flash_attn_version >= packaging.version.Version("2.4")
@@ -1656,6 +1657,9 @@ class FlashAttention(torch.nn.Module):
         assert (
             _flash_attn_version >= _flash_attn_version_required
         ), f"FlashAttention minimum version {_flash_attn_version_required} is required."
+        assert (
+            _flash_attn_version <= _flash_attn_max_version
+        ), f"FlashAttention maximum version {_flash_attn_max_version} is supported."
 
         self.norm_factor = norm_factor
         self.attention_dropout_ctx = attention_dropout_ctx