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Fixed floor_divide deprecation warnings seen in pytest output #3672

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merged 4 commits into from
Apr 16, 2021
Merged

Fixed floor_divide deprecation warnings seen in pytest output #3672

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ca288ef
Fixed floor_divide deprecation warnings given by ====================…
prabhat00155 Apr 14, 2021
f1d9e32
Fixed floor_divide deprecation warning in test_datasets
prabhat00155 Apr 15, 2021
37afb85
Fixed floor_divide warning in test_datasets_samplers.py
prabhat00155 Apr 15, 2021
f16df9a
Fixed floor_divide warnings in test_transforms.py
prabhat00155 Apr 15, 2021
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2 changes: 1 addition & 1 deletion torchvision/models/detection/retinanet.py
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Expand Up @@ -428,7 +428,7 @@ def postprocess_detections(self, head_outputs, anchors, image_shapes):
scores_per_level, idxs = scores_per_level.topk(num_topk)
topk_idxs = topk_idxs[idxs]

anchor_idxs = topk_idxs // num_classes
anchor_idxs = torch.div(topk_idxs, num_classes, rounding_mode='floor')
labels_per_level = topk_idxs % num_classes

boxes_per_level = self.box_coder.decode_single(box_regression_per_level[anchor_idxs],
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5 changes: 1 addition & 4 deletions torchvision/models/detection/roi_heads.py
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Expand Up @@ -261,14 +261,11 @@ def heatmaps_to_keypoints(maps, rois):
height_correction = heights[i] / roi_map_height
roi_map = F.interpolate(
maps[i][:, None], size=(roi_map_height, roi_map_width), mode='bicubic', align_corners=False)[:, 0]
# roi_map_probs = scores_to_probs(roi_map.copy())
w = roi_map.shape[2]
pos = roi_map.reshape(num_keypoints, -1).argmax(dim=1)

x_int = pos % w
y_int = (pos - x_int) // w
# assert (roi_map_probs[k, y_int, x_int] ==
# roi_map_probs[k, :, :].max())
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y_int = torch.div(pos - x_int, w, rounding_mode='floor')
x = (x_int.float() + 0.5) * width_correction
y = (y_int.float() + 0.5) * height_correction
xy_preds[i, 0, :] = x + offset_x[i]
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