Default enable_cross_tensor_attribution to true (#1643)

Summary:

Internal usage:
- PyPer/APS/MVAI FI at 100% since 4/29
- Fluent2 FI at 100% since 5/22
- NI at 100% since 7/3

Differential Revision: D81948483

Author: sarahtranfb

captum/attr/_core/feature_ablation.py

@@ -114,7 +114,7 @@ def attribute(
         feature_mask: Union[None, Tensor, Tuple[Tensor, ...]] = None,
         perturbations_per_eval: int = 1,
         show_progress: bool = False,
-        enable_cross_tensor_attribution: bool = False,
+        enable_cross_tensor_attribution: bool = True,
         **kwargs: Any,
     ) -> TensorOrTupleOfTensorsGeneric:
         r"""
@@ -744,7 +744,7 @@ def attribute_future(
         feature_mask: Union[None, Tensor, Tuple[Tensor, ...]] = None,
         perturbations_per_eval: int = 1,
         show_progress: bool = False,
-        enable_cross_tensor_attribution: bool = False,
+        enable_cross_tensor_attribution: bool = True,
         **kwargs: Any,
     ) -> Future[TensorOrTupleOfTensorsGeneric]:
         r"""

captum/attr/_core/feature_permutation.py

@@ -115,7 +115,7 @@ def attribute(  # type: ignore
         feature_mask: Union[None, TensorOrTupleOfTensorsGeneric] = None,
         perturbations_per_eval: int = 1,
         show_progress: bool = False,
-        enable_cross_tensor_attribution: bool = False,
+        enable_cross_tensor_attribution: bool = True,
         **kwargs: Any,
     ) -> TensorOrTupleOfTensorsGeneric:
         r"""
@@ -304,7 +304,7 @@ def attribute_future(
         feature_mask: Union[None, TensorOrTupleOfTensorsGeneric] = None,
         perturbations_per_eval: int = 1,
         show_progress: bool = False,
-        enable_cross_tensor_attribution: bool = False,
+        enable_cross_tensor_attribution: bool = True,
         **kwargs: Any,
     ) -> Future[TensorOrTupleOfTensorsGeneric]:
         """

captum/attr/_core/occlusion.py

@@ -267,7 +267,6 @@ def attribute(  # type: ignore
             shift_counts=tuple(shift_counts),
             strides=strides,
             show_progress=show_progress,
-            enable_cross_tensor_attribution=True,
         )
 
     def attribute_future(self) -> None:

tests/attr/test_feature_permutation.py

@@ -120,14 +120,14 @@ def forward_func(x: Tensor) -> Tensor:
         inp = torch.tensor([[1.0, 2.0]])
         assertTensorAlmostEqual(
             self,
-            feature_importance.attribute(inp),
+            feature_importance.attribute(inp, enable_cross_tensor_attribution=False),
             torch.tensor([[0.0, 0.0]]),
             delta=0.0,
         )
 
         feature_importance._min_examples_per_batch = 1
         with self.assertRaises(AssertionError):
-            feature_importance.attribute(inp)
+            feature_importance.attribute(inp, enable_cross_tensor_attribution=False)
 
     def test_simple_input_with_min_examples_in_group(self) -> None:
         def forward_func(x: Tensor) -> Tensor: