test(rtx): remove remaining BF16 skip guards on TensorRT-RTX

BF16 is now supported on TensorRT-RTX via the per-layer depthwise
fallback validator. Remove the leftover skipIf guards that were
blanket-disabling BF16 tests on RTX.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: tp5uiuc

tests/py/dynamo/conversion/test_binary_ops_aten.py

@@ -237,10 +237,6 @@ def forward(self, x, y):
             if op[0].__name__ not in ["pow.Tensor_Tensor", "fmod.Tensor"]
         ]
     )
-    @unittest.skipIf(
-        torch_tensorrt.ENABLED_FEATURES.tensorrt_rtx,
-        "bf16 is not supported for tensorrt_rtx",
-    )
     def test_elementwise_ops_bf16(self, _, orig_op):
         class TestModule(nn.Module):
             def __init__(self, orig_op):

tests/py/dynamo/conversion/test_casts.py

@@ -67,10 +67,6 @@ def forward(self, x):
             precision=torch.float,
         )
 
-    @unittest.skipIf(
-        torch_tensorrt.ENABLED_FEATURES.tensorrt_rtx,
-        "bf16 is not supported for tensorrt_rtx",
-    )
     def test_to_copy_bfloat16(self):
         class ToCopyBFloat16(nn.Module):
             def forward(self, x):

tests/py/dynamo/models/test_dtype_support.py

@@ -200,10 +200,6 @@ def forward(self, x):
     ),
     "Platform does not have BF16 support",
 )
-@unittest.skipIf(
-    torch_tensorrt.ENABLED_FEATURES.tensorrt_rtx,
-    "bf16 is not supported for tensorrt_rtx",
-)
 class TestBF16Support(TestCase):
     @unittest.skipIf(
         not torch_tensorrt.ENABLED_FEATURES.torch_tensorrt_runtime,

tests/py/dynamo/models/test_models.py

@@ -519,10 +519,6 @@ def forward(
 
 
 @pytest.mark.unit
-@unittest.skipIf(
-    torchtrt.ENABLED_FEATURES.tensorrt_rtx,
-    "bf16 is not supported for tensorrt_rtx",
-)
 @pytest.mark.critical
 def test_bf16_model(ir):
     class MyModule(torch.nn.Module):
@@ -568,10 +564,6 @@ def forward(self, x):
 
 
 @pytest.mark.unit
-@unittest.skipIf(
-    torchtrt.ENABLED_FEATURES.tensorrt_rtx,
-    "bf16 is not supported for tensorrt_rtx",
-)
 @pytest.mark.critical
 def test_bf16_fallback_model(ir):
     class MyModule(torch.nn.Module):