Dynamic ViT (#2476)

Summary:
Pull Request resolved: #2476

Tests for Dynamic ViT

We make ViT dynamic by bilinear resizing the input before feeding to ViT

Reviewed By: digantdesai

Differential Revision: D54972681

Author: mcr229

backends/xnnpack/test/models/torchvision_vit.py

@@ -15,6 +15,29 @@ class TestViT(unittest.TestCase):
     vit = models.vision_transformer.vit_b_16(weights="IMAGENET1K_V1")
     vit = vit.eval()
     model_inputs = (torch.ones(1, 3, 224, 224),)
+    dynamic_shapes = (
+        {
+            2: torch.export.Dim("height", min=224, max=455),
+            3: torch.export.Dim("width", min=224, max=455),
+        },
+    )
+
+    class DynamicViT(torch.nn.Module):
+        def __init__(self):
+            super().__init__()
+            self.vit = models.vision_transformer.vit_b_16(weights="IMAGENET1K_V1")
+            self.vit = self.vit.eval()
+
+        def forward(self, x):
+            x = torch.nn.functional.interpolate(
+                x,
+                size=(224, 224),
+                mode="bilinear",
+                align_corners=True,
+                antialias=False,
+            )
+            return self.vit(x)
+
     all_operators = {
         "executorch_exir_dialects_edge__ops_aten_expand_copy_default",
         "executorch_exir_dialects_edge__ops_aten_cat_default",
@@ -34,7 +57,7 @@ class TestViT(unittest.TestCase):
         "executorch_exir_dialects_edge__ops_aten_bmm_default",
     }
 
-    def test_fp32_vit(self):
+    def _test_exported_vit(self, tester, check_nots=[]):
         lowerable_xnn_operators = self.all_operators - {
             "executorch_exir_dialects_edge__ops_aten_expand_copy_default",
             "executorch_exir_dialects_edge__ops_aten_gelu_default",
@@ -48,14 +71,33 @@ def test_fp32_vit(self):
             "executorch_exir_dialects_edge__ops_aten_bmm_default",
         }
         (
-            Tester(self.vit, self.model_inputs)
-            .export()
+            tester.export()
             .to_edge()
             .check(list(self.all_operators))
             .partition()
             .check(["torch.ops.higher_order.executorch_call_delegate"])
             .check_not(list(lowerable_xnn_operators))
+            .check_not(check_nots)
             .to_executorch()
             .serialize()
             .run_method_and_compare_outputs()
         )
+
+    def test_fp32_vit(self):
+        self._test_exported_vit(Tester(self.vit, self.model_inputs))
+
+    def test_dynamic_vit(self):
+        bilinear_ops = {
+            "executorch_exir_dialects_edge__ops_aten_sub_Tensor",
+            "executorch_exir_dialects_edge__ops_aten_mul_Tensor",
+            "executorch_exir_dialects_edge__ops_aten_index_Tensor",
+            "executorch_exir_dialects_edge__ops_aten_arange_start_step",
+            "executorch_exir_dialects_edge__ops_aten__to_copy_default",
+            "executorch_exir_dialects_edge__ops_aten_add_Tensor",
+            "executorch_exir_dialects_edge__ops_aten_clamp_default",
+        }
+
+        self._test_exported_vit(
+            Tester(self.DynamicViT(), self.model_inputs, self.dynamic_shapes),
+            bilinear_ops,
+        )