Remove emformer model

Summary: As titled, because this model is not fully ready yet.

Reviewed By: kirklandsign

Differential Revision: D48334229

fbshipit-source-id: 6429a8161723e3570b47f050bb0f513a395d356b

Author: guangy10

examples/export/test/test_export.py

@@ -74,23 +74,6 @@ def test_mv2_export_to_executorch(self):
             eager_model, example_inputs, self.validate_tensor_allclose
         )
 
-    def test_emformer_export_to_executorch(self):
-        eager_model, example_inputs = MODEL_NAME_TO_MODEL["emformer"]()
-        eager_model = eager_model.eval()
-
-        validate_emformer_result = (
-            lambda eager_output, executorch_output: torch.allclose(
-                eager_output[0],
-                executorch_output[0][0],
-                rtol=1e-5,
-                atol=1e-5,
-            )
-        )
-
-        self._assert_eager_lowered_same_result(
-            eager_model, example_inputs, validate_emformer_result
-        )
-
     def test_vit_export_to_executorch(self):
         eager_model, example_inputs = MODEL_NAME_TO_MODEL["vit"]()
         eager_model = eager_model.eval()

examples/models/TARGETS

@@ -8,7 +8,6 @@ python_library(
     ],
     deps = [
         "//caffe2:torch",
-        "//executorch/examples/models/emformer:emformer_export",
         "//executorch/examples/models/mobilenet_v2:mv2_export",
         "//executorch/examples/models/mobilenet_v3:mv3_export",
         "//executorch/examples/models/torchvision_vit:vit_export",

examples/models/emformer/TARGETS

@@ -89,12 +89,6 @@ def gen_mobilenet_v2_model_inputs() -> Tuple[torch.nn.Module, Any]:
     return MV2Model.get_model(), MV2Model.get_example_inputs()
 
 
-def gen_emformer_model_inputs() -> Tuple[torch.nn.Module, Any]:
-    from ..models.emformer import EmformerModel
-
-    return EmformerModel.get_model(), EmformerModel.get_example_inputs()
-
-
 def gen_torchvision_vit_model_and_inputs() -> Tuple[torch.nn.Module, Any]:
     from ..models.torchvision_vit import TorchVisionViTModel
 
@@ -108,6 +102,5 @@ def gen_torchvision_vit_model_and_inputs() -> Tuple[torch.nn.Module, Any]:
     "add_mul": lambda: (AddMulModule(), AddMulModule.get_example_inputs()),
     "mv2": gen_mobilenet_v2_model_inputs,
     "mv3": gen_mobilenet_v3_model_inputs,
-    "emformer": gen_emformer_model_inputs,
     "vit": gen_torchvision_vit_model_and_inputs,
 }