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[ONNX] fix dynamic resize (#2488) #2492

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Merged
merged 1 commit into from
Jul 20, 2020
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[ONNX] fix dynamic resize (#2488) #2492

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4 changes: 2 additions & 2 deletions torchvision/models/detection/transform.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ def _resize_image_and_masks_onnx(image, self_min_size, self_max_size, target):
scale_factor = torch.min(self_min_size / min_size, self_max_size / max_size)

image = torch.nn.functional.interpolate(
image[None], scale_factor=scale_factor, mode='bilinear',
image[None], scale_factor=scale_factor, mode='bilinear', recompute_scale_factor=True,
align_corners=False)[0]

if target is None:
Expand All @@ -42,7 +42,7 @@ def _resize_image_and_masks(image, self_min_size, self_max_size, target):
if max_size * scale_factor > self_max_size:
scale_factor = self_max_size / max_size
image = torch.nn.functional.interpolate(
image[None], scale_factor=scale_factor, mode='bilinear',
image[None], scale_factor=scale_factor, mode='bilinear', recompute_scale_factor=True,
align_corners=False)[0]

if target is None:
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