[jit] Remove @torch.jit.export (#10824)

Summary: #10795 As part of the process of deprecating torchscript.

Test Plan:

Reviewers:

Subscribers:

Tasks:

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### Summary
[PLEASE REMOVE] See [CONTRIBUTING.md's Pull
Requests](https://github.com/pytorch/executorch/blob/main/CONTRIBUTING.md#pull-requests)
for ExecuTorch PR guidelines.

[PLEASE REMOVE] If this PR closes an issue, please add a `Fixes
#<issue-id>` line.

[PLEASE REMOVE] If this PR introduces a fix or feature that should be
the upcoming release notes, please add a "Release notes: <area>" label.
For a list of available release notes labels, check out
[CONTRIBUTING.md's Pull
Requests](https://github.com/pytorch/executorch/blob/main/CONTRIBUTING.md#pull-requests).

### Test plan
[PLEASE REMOVE] How did you test this PR? Please write down any manual
commands you used and note down tests that you have written if
applicable.

Author: larryliu0820

backends/qualcomm/quantizer/observers/per_channel_param_observer.py

@@ -109,6 +109,5 @@ def forward(self, x_orig):
             self.quant_max,
         )
 
-    @torch.jit.export
     def calculate_qparams(self):
         return self._calculate_qparams(self.min_val, self.max_val)

examples/cadence/models/rnnt_encoder.py

@@ -103,7 +103,6 @@ def forward(
             layer_norm_out = self.layer_norm(output_linear_out)
             return layer_norm_out, transformer_lengths
 
-        @torch.jit.export
         def infer(
             self,
             input: torch.Tensor,

examples/models/efficient_sam/efficient_sam_core/efficient_sam.py

@@ -59,7 +59,6 @@ def __init__(
             "pixel_std", torch.Tensor(pixel_std).view(1, 3, 1, 1), False
         )
 
-    @torch.jit.export
     def predict_masks(
         self,
         image_embeddings: torch.Tensor,
@@ -174,7 +173,6 @@ def get_rescaled_pts(
             dim=-1,
         )
 
-    @torch.jit.export
     def get_image_embeddings(self, batched_images) -> torch.Tensor:
         """
         Predicts masks end-to-end from provided images and prompts.

examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py

@@ -142,7 +142,6 @@ def forward(self, x):
         return x
 
 
-@torch.jit.export
 def get_abs_pos(
     abs_pos: torch.Tensor, has_cls_token: bool, hw: List[int]
 ) -> torch.Tensor: