From 05d5cc172c2f1d43308843a053ed187d5c23e038 Mon Sep 17 00:00:00 2001 From: karan1505 Date: Fri, 31 Jan 2025 15:34:34 -0600 Subject: [PATCH 1/2] Changes made for assignment --- torch/nn/functional.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/torch/nn/functional.py b/torch/nn/functional.py index 9640ca1e76e..601df6cf3c4 100644 --- a/torch/nn/functional.py +++ b/torch/nn/functional.py @@ -4290,7 +4290,7 @@ def interpolate( # noqa: F811 input: Tensor, size: Optional[int] = None, scale_factor: Optional[List[float]] = None, - mode: str = "nearest", + mode: str = "bilinear", align_corners: Optional[bool] = None, recompute_scale_factor: Optional[bool] = None, antialias: bool = False, From 2c700753b33684dcd0eced2e990ee9aef2efa10e Mon Sep 17 00:00:00 2001 From: karan1505 Date: Fri, 31 Jan 2025 15:38:38 -0600 Subject: [PATCH 2/2] Changes made for assignment - v2 --- torch/nn/functional.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/torch/nn/functional.py b/torch/nn/functional.py index 9640ca1e76e..6f7a9e89f22 100644 --- a/torch/nn/functional.py +++ b/torch/nn/functional.py @@ -4290,8 +4290,8 @@ def interpolate( # noqa: F811 input: Tensor, size: Optional[int] = None, scale_factor: Optional[List[float]] = None, - mode: str = "nearest", - align_corners: Optional[bool] = None, + mode: str = "bicubic", + align_corners=True, recompute_scale_factor: Optional[bool] = None, antialias: bool = False, ) -> Tensor: # noqa: B950