fixing image_encoder to work with cuda_graphs #393
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Summary: the combination of tensors on multiple devices in get_rel_pos was preventing cuda graphs from correctly optimizing things Test Plan: Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
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May 24, 2023
| @@ -315,8 +315,8 @@ def get_rel_pos(q_size: int, k_size: int, rel_pos: torch.Tensor) -> torch.Tensor | |||
| rel_pos_resized = rel_pos | |||
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| # Scale the coords with short length if shapes for q and k are different. | |||
| q_coords = torch.arange(q_size)[:, None] * max(k_size / q_size, 1.0) | |||
| k_coords = torch.arange(k_size)[None, :] * max(q_size / k_size, 1.0) | |||
| q_coords = (torch.arange(q_size).to(rel_pos.device)[:, None] * max(k_size / q_size, 1.0)) | |||
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nit: torch.arange(q_size, device=rel_pos.device)
Summary: the combination of tensors on multiple devices in get_rel_pos was preventing cuda graphs from correctly optimizing things Test Plan: Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
devexpert0426
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Jul 10, 2025
Summary: the combination of tensors on multiple devices in get_rel_pos was preventing cuda graphs from correctly optimizing things Test Plan: Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 2256f13 Pull Request resolved: facebookresearch/segment-anything#393
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Stack from ghstack (oldest at bottom):
Summary: the combination of tensors on multiple devices in get_rel_pos
was preventing cuda graphs from correctly optimizing things
Test Plan:
Reviewers:
Subscribers:
Tasks:
Tags: