Skip to content

Try remove eager scripting calls #2248

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 3 commits into from
Jun 26, 2020
Merged

Try remove eager scripting calls #2248

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
79870d9
Try remove eager scripting calls
May 20, 2020
2e1f4e9
remove script call
May 26, 2020
f2e1fc5
Merge branch 'master' of github.com:pytorch/vision into remove_eager_…
fmassa Jun 26, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion torchvision/models/detection/_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -75,7 +75,7 @@ def __call__(self, matched_idxs):
return pos_idx, neg_idx


@torch.jit.script
@torch.jit._script_if_tracing
def encode_boxes(reference_boxes, proposals, weights):
# type: (torch.Tensor, torch.Tensor, torch.Tensor) -> torch.Tensor
"""
Expand Down
4 changes: 2 additions & 2 deletions torchvision/models/detection/roi_heads.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -205,7 +205,7 @@ def _onnx_heatmaps_to_keypoints(maps, maps_i, roi_map_width, roi_map_height,
return xy_preds_i, end_scores_i


@torch.jit.script
@torch.jit._script_if_tracing
def _onnx_heatmaps_to_keypoints_loop(maps, rois, widths_ceil, heights_ceil,
widths, heights, offset_x, offset_y, num_keypoints):
xy_preds = torch.zeros((0, 3, int(num_keypoints)), dtype=torch.float32, device=maps.device)
Expand Down Expand Up @@ -451,7 +451,7 @@ def _onnx_paste_mask_in_image(mask, box, im_h, im_w):
return im_mask


@torch.jit.script
@torch.jit._script_if_tracing
def _onnx_paste_masks_in_image_loop(masks, boxes, im_h, im_w):
res_append = torch.zeros(0, im_h, im_w)
for i in range(masks.size(0)):
Expand Down
3 changes: 1 addition & 2 deletions torchvision/ops/boxes.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@
import torchvision


@torch.jit.script
def nms(boxes, scores, iou_threshold):
# type: (Tensor, Tensor, float) -> Tensor
"""
Expand Down Expand Up @@ -41,7 +40,7 @@ def nms(boxes, scores, iou_threshold):
return torch.ops.torchvision.nms(boxes, scores, iou_threshold)


@torch.jit.script
@torch.jit._script_if_tracing
def batched_nms(boxes, scores, idxs, iou_threshold):
# type: (Tensor, Tensor, Tensor, float) -> Tensor
"""
Expand Down