Weekly issue metrics report - 2025-04-01..2025-04-07

[github-actions]

Issue Metrics

Metric	Average	Median	90th percentile
Time to first response	1 day, 6:30:46	5:05:25	3 days, 0:26:40
Time to close	9 days, 20:24:54	7 days, 3:53:56	20 days, 13:46:50
Time to answer	None	None	None
Time spent in module: android	20 days, 13:39:41	20 days, 23:57:08	28 days, 12:10:49
Time spent in module: ios	None	None	None
Time spent in module: benchmark	None	None	None
Time spent in module: build/install	33 days, 17:46:09	33 days, 17:46:09	33 days, 17:46:09
Time spent in module: vulkan	None	None	None
Time spent in module: llm	None	None	None
Time spent in module: ci	4 days, 0:00:09	4 days, 0:00:09	4 days, 0:00:09
Time spent in module: training	None	None	None
Time spent in module: user experience	None	None	None

Metric	Count
Number of items that remain open	19
Number of items closed	6
Number of most active mentors	0
Total number of items created	25

Title	URL	Author	Time to first response	Time to close	Time to answer	Time spent in module: android	Time spent in module: ios	Time spent in module: benchmark	Time spent in module: build/install	Time spent in module: vulkan	Time spent in module: llm	Time spent in module: ci	Time spent in module: training	Time spent in module: user experience
Check tensor's dim order ambiguity in IR verifier	pytorch/executorch#9942	Gasoonjia	0:03:23	None	None	None	None	None	None	None	None	None	None	None
torchao not installed by default for ExecuTorch 0.6 RC	pytorch/executorch#9940	mergennachin	None	1 day, 0:16:47	None	None	None	None	None	None	None	None	None	None
The contiguity of input tensors is lost when copied for the Method::execute in executorch runtime	pytorch/executorch#9930	JoshuaGhost	5:44:50	None	None	None	None	None	None	None	None	None	None	None
Spelling problem in doc backends-xnnpack.md	pytorch/executorch#9924	zxc503	1 day, 5:50:29	2 days, 14:51:04	None	None	None	None	None	None	None	None	None	None
[Android] Better logging on error	pytorch/executorch#9921	kirklandsign	None	None	None	30 days, 9:14:14.566945	None	None	None	None	None	None	None	None
Update buck version when there's an April 4 or newer release & clean up after pytorch#9890	pytorch/executorch#9919	swolchok	None	None	None	None	None	None	None	None	None	None	None	None
Improve contributor documentation for Android	pytorch/executorch#9913	GregoryComer	4:19:39	10 days, 7:47:40	None	10 days, 7:47:40	None	None	None	None	None	None	None	None
Support BFloat16 dtype in Android Tensor API	pytorch/executorch#9881	GregoryComer	4:26:00	20 days, 23:57:08	None	20 days, 23:57:08	None	None	None	None	None	None	None	None
UNSTABLE trunk / test-qnn-model (fp32)	pytorch/executorch#9878	kirklandsign	1 day, 3:33:41	4 days, 0:00:12	None	None	None	None	None	None	None	4 days, 0:00:09	None	None
[ExecuTorch] recognizes and warns user when Q/DQ ops are not lowered	pytorch/executorch#9858	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
[torchao] Enable new quant primitives in PT2E	pytorch/executorch#9857	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
[torchao] Migrate exact copy of PT2E from torch.ao to torchao	pytorch/executorch#9856	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
[XNNPACK] partitioner recognizes new torchao quant primitives	pytorch/executorch#9855	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
[QNN] partitioner recognizes new torchao quant primitives	pytorch/executorch#9854	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
[CoreML] partitioner recognizes new torchao quant primitives	pytorch/executorch#9853	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
Make ExecuTorch Q/DQ representation default and resilient	pytorch/executorch#9852	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
Use eager mode quantize_ with QDQLayout for non-delegated quantized ops in ExecuTorch	pytorch/executorch#9851	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
Migrate PT2E to torchao using the new quant primitives	pytorch/executorch#9850	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
Standardize ExecuTorch backends on new torchao primitives	pytorch/executorch#9849	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
[torchao] support codebook/LUT in torchao	pytorch/executorch#9848	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
[CoreML] quantizer supports 4-bit affine (groupwise and channelwise)	pytorch/executorch#9847	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
[XNNPACK] support 8d4w in PT2E flow	pytorch/executorch#9846	metascroy	None	None	None	None	None	None	None	None	None	None	None	None
[0.6 Release] Quality testing	pytorch/executorch#9837	metascroy	7 days, 3:51:05	20 days, 3:36:33	None	None	None	None	None	None	None	None	None	None
Upgrade QNN support to latest version	pytorch/executorch#9806	RemonComputer	None	None	None	None	None	None	None	None	None	None	None	None
Support CoreML export on Linux	pytorch/executorch#9800	jathu	0:17:03	None	None	None	None	None	33 days, 17:46:09.120477	None	None	None	None	None

This report was generated with the Issue Metrics Action
Search query used to find these items: repo:pytorch/executorch is:issue created:2025-04-01..2025-04-07