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Support for runtime CPU/CUDA selection Python #1537: Pull request #3060 synchronize by kSkip
10m 23s kSkip:cpu-cuda-toggle
kSkip:cpu-cuda-toggle
10m 23s
Support for runtime CPU/CUDA selection Python #1536: Pull request #3060 synchronize by kSkip
10m 27s kSkip:cpu-cuda-toggle
kSkip:cpu-cuda-toggle
10m 27s
Replace FindCUDA with FindCUDAToolkit (fix #2833) Python #1535: Pull request #3090 synchronize by smu-sc-gj
10m 32s smu-sc-gj:master
smu-sc-gj:master
10m 32s
throw() -> noexcept (#3092) Python #1534: Commit 131e46e pushed by davisking
10m 6s master
master
10m 6s
Add transformer example with RoPE and MoE-like mechanisms Python #1533: Pull request #3078 synchronize by Cydral
10m 17s Cydral:master
Cydral:master
10m 17s
Replace FindCUDA with FindCUDAToolkit (fix #2833) Python #1532: Pull request #3090 synchronize by smu-sc-gj
10m 15s smu-sc-gj:master
smu-sc-gj:master
10m 15s
throw() -> noexcept Python #1530: Pull request #3092 opened by r-barnes
11m 11s r-barnes:richard/noexcept
r-barnes:richard/noexcept
11m 11s
Problem: reading large images (in my case, it was a 40792x20480 RGBA … Python #1529: Commit 3cb1f35 pushed by davisking
10m 31s master
master
10m 31s
Fix numeric overflow when accessing pixel data of very large images Python #1528: Pull request #3091 opened by reunanen
10m 24s reunanen:fix-numeric-overflow-when-accessing-pixel-data-of-very-large-images
reunanen:fix-numeric-overflow-when-accessing-pixel-data-of-very-large-images
10m 24s
Replace FindCUDA with FindCUDAToolkit (fix #2833) Python #1527: Pull request #3090 opened by smu-sc-gj
2m 17s smu-sc-gj:master
smu-sc-gj:master
2m 17s
Add transformer example with RoPE and MoE-like mechanisms Python #1526: Pull request #3078 synchronize by Cydral
10m 17s Cydral:master
Cydral:master
10m 17s
Add transformer example with RoPE and MoE-like mechanisms Python #1525: Pull request #3078 synchronize by Cydral
10m 12s Cydral:master
Cydral:master
10m 12s
Add transformer example with RoPE and MoE-like mechanisms Python #1524: Pull request #3078 synchronize by Cydral
10m 13s Cydral:master
Cydral:master
10m 13s
Add transformer example with RoPE and MoE-like mechanisms Python #1523: Pull request #3078 synchronize by Cydral
10m 34s Cydral:master
Cydral:master
10m 34s
Fix: Correct YOLO loss gradient for x,y coordinates (#3088) Python #1522: Commit 79e2d13 pushed by davisking
10m 44s master
master
10m 44s
Fix: Correct YOLO loss gradient for x,y coordinates Python #1521: Pull request #3088 synchronize by arrufat
10m 33s arrufat:fix-yolo-gradient
arrufat:fix-yolo-gradient
10m 33s
Fix: Correct YOLO loss gradient for x,y coordinates Python #1520: Pull request #3088 opened by arrufat
10m 29s arrufat:fix-yolo-gradient
arrufat:fix-yolo-gradient
10m 29s
Minor optimization: emplace_back neighbors (#3086) Python #1519: Commit 81cd1f1 pushed by davisking
10m 8s master
master
10m 8s
Use CUDAToolkit, fix #2833 Python #1518: Pull request #3087 synchronize by Tobias-Fischer
1m 37s Tobias-Fischer:master
Tobias-Fischer:master
1m 37s
Minor optimization: emplace_back neighbors Python #1516: Pull request #3086 opened by reunanen
10m 32s reunanen:minor-optimization-emplace_back-neighbors
reunanen:minor-optimization-emplace_back-neighbors
10m 32s
Add transformer example with RoPE and MoE-like mechanisms Python #1515: Pull request #3078 synchronize by Cydral
10m 50s Cydral:master
Cydral:master
10m 50s
Add transformer example with RoPE and MoE-like mechanisms Python #1514: Pull request #3078 synchronize by Cydral
10m 28s Cydral:master
Cydral:master
10m 28s
Add transformer example with RoPE and MoE-like mechanisms Python #1513: Pull request #3078 synchronize by Cydral
10m 26s Cydral:master
Cydral:master
10m 26s
Add transformer example with RoPE and MoE-like mechanisms Python #1512: Pull request #3078 synchronize by Cydral
10m 26s Cydral:master
Cydral:master
10m 26s
Add transformer example with RoPE and MoE-like mechanisms Python #1511: Pull request #3078 synchronize by Cydral
9m 55s Cydral:master
Cydral:master
9m 55s