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

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Merged
merged 1 commit into from
May 12, 2025
Merged

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

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1 change: 0 additions & 1 deletion backends/qualcomm/quantizer/observers/per_channel_param_observer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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)
1 change: 0 additions & 1 deletion examples/cadence/models/rnnt_encoder.py
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Expand Up @@ -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,
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2 changes: 0 additions & 2 deletions examples/models/efficient_sam/efficient_sam_core/efficient_sam.py
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Expand Up @@ -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,
Expand Down Expand Up @@ -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.
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1 change: 0 additions & 1 deletion examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py
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Expand Up @@ -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:
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