Weekly issue metrics report - 2025-03-01..2025-03-07

# Issue Metrics

| Metric | Average | Median | 90th percentile |
| --- | --- | --- | ---: |
| Time to first response | 4 days, 7:18:06 | 11:05:25 | 12 days, 23:51:55 |
| Time to close | 9 days, 7:30:49 | 7 days, 23:39:31 | 21 days, 16:28:47 |
| Time to answer | None | None | None |
| Time spent in module: android | 34 days, 11:39:44 | 34 days, 11:39:44 | 34 days, 13:24:01 |
| Time spent in module: ios | None | None | None |
| Time spent in module: benchmark | None | None | None |
| Time spent in module: build/install | 21 days, 19:11:07 | 31 days, 7:52:39 | 35 days, 9:25:21 |
| Time spent in module: vulkan | None | None | None |
| Time spent in module: llm | 15 days, 17:01:02 | 13 days, 16:38:58 | 32 days, 22:52:43 |
| Time spent in module: ci | None | None | None |
| Time spent in module: training | 8:40:54 | 8:40:54 | 8:40:54 |
| Time spent in  module: user experience | None | None | None |

| Metric | Count |
| --- | ---: |
| Number of items that remain open | 36 |
| Number of items closed | 14 |
| Number of most active mentors | 0 |
| Total number of items created | 50 |

| 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 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dynamic Parameters for Mediatek Delegate | https://github.com/pytorch/executorch/issues/9035 | [shreshth-tru](https://github.com/shreshth-tru) | 11:05:25 | None | None | None | None | None | None | None | None | None | None | None |
| [Request Help] I refer the Delegate Debugging document to debug the QLoRA_LLama 3.2-1B model, and want to get the pipeline of linear operation delegation and determine the underlying kernel  in XNNPACK | https://github.com/pytorch/executorch/issues/9034 | [liye0626](https://github.com/liye0626) | 14:03:51 | 13 days, 12:59:16 | None | None | None | None | None | None | None | None | None | None |
| [Request Help] I would like to ask, does ExecuTorch have plans to support EAGLE-1/EAGLE-2/EAGLE-3? | https://github.com/pytorch/executorch/issues/9032 | [liye0626](https://github.com/liye0626) | 0:36:22 | 23:39:28 | None | None | None | None | None | None | 23:02:45 | None | None | None |
| Don't Serialize Scales/ZP in Flatbuffer | https://github.com/pytorch/executorch/issues/9029 | [mcr229](https://github.com/mcr229) | 2:43:30 | None | None | None | None | None | None | None | None | None | None | None |
| Refactor binary op partitioner configs under binary op config class | https://github.com/pytorch/executorch/issues/9024 | [mcr229](https://github.com/mcr229) | 15 days, 20:42:48 | None | None | None | None | None | None | None | None | None | None | None |
| Partitioner to not delegate mixed dtype operators | https://github.com/pytorch/executorch/issues/9023 | [mcr229](https://github.com/mcr229) | None | 21 days, 3:11:26 | None | None | None | None | None | None | None | None | None | None |
| Duplicate Dynamic Quant Chain in XNNPACK Lowering Flow | https://github.com/pytorch/executorch/issues/9022 | [mcr229](https://github.com/mcr229) | None | 21 days, 22:10:30 | None | None | None | None | None | None | None | None | None | None |
| Support Dynamically Quantized Convolutions | https://github.com/pytorch/executorch/issues/9021 | [mcr229](https://github.com/mcr229) | 28 days, 21:08:49 | None | None | None | None | None | None | None | None | None | None | None |
| Build pip wheel and validate AOT workflow on different backends & host environments in CI | https://github.com/pytorch/executorch/issues/9019 | [larryliu0820](https://github.com/larryliu0820) | 5 days, 1:47:02 | None | None | None | None | None | 31 days, 7:53:22.761638 | None | None | None | None | None |
| SDPA custom op works without kv cach | https://github.com/pytorch/executorch/issues/9014 | [iseeyuan](https://github.com/iseeyuan) | None | None | None | None | None | None | None | None | 31 days, 7:55:22.108628 | None | None | None |
| Freeing unpacked weights immediately after packing | https://github.com/pytorch/executorch/issues/9013 | [cbilgin](https://github.com/cbilgin) | None | None | None | None | None | None | None | None | None | None | None | None |
| Shared activation memory with ExecuTorch | https://github.com/pytorch/executorch/issues/9012 | [cbilgin](https://github.com/cbilgin) | None | None | None | None | None | None | None | None | None | None | None | None |
| Setup Build-Size Check in CI for XNNPACK Dependency | https://github.com/pytorch/executorch/issues/9011 | [cbilgin](https://github.com/cbilgin) | None | None | None | None | None | None | None | None | None | None | None | None |
| Binary Size: Selective Build | https://github.com/pytorch/executorch/issues/9010 | [cbilgin](https://github.com/cbilgin) | 25 days, 1:59:35 | None | None | None | None | None | 31 days, 7:51:54.533246 | None | None | None | None | None |
| Increased Op Coverage: | https://github.com/pytorch/executorch/issues/9009 | [cbilgin](https://github.com/cbilgin) | None | None | None | None | None | None | None | None | None | None | None | None |
| Dynamism Support in XNNPACK for vision models | https://github.com/pytorch/executorch/issues/9008 | [cbilgin](https://github.com/cbilgin) | None | None | None | None | None | None | None | None | None | None | None | None |
| Model Load Time: SIMD Packing Kernels for Blockwise Quantization | https://github.com/pytorch/executorch/issues/9007 | [cbilgin](https://github.com/cbilgin) | None | None | None | None | None | None | None | None | None | None | None | None |
| Inference Latency + Memory Usage: Proper Dim Order Support | https://github.com/pytorch/executorch/issues/9006 | [cbilgin](https://github.com/cbilgin) | None | None | None | None | None | None | None | None | None | None | None | None |
| Hardened FP16 Support | https://github.com/pytorch/executorch/issues/9005 | [cbilgin](https://github.com/cbilgin) | None | None | None | None | None | None | None | None | None | None | None | None |
| BF16 Support | https://github.com/pytorch/executorch/issues/9004 | [cbilgin](https://github.com/cbilgin) | 11 days, 1:58:00 | None | None | None | None | None | None | None | None | None | None | None |
| Memory Usage: XNNPACK Weights Cache + Blob Storage Service | https://github.com/pytorch/executorch/issues/9003 | [cbilgin](https://github.com/cbilgin) | None | 8 days, 6:01:13 | None | None | None | None | None | None | None | None | None | None |
| Model File Size: Backend Weight Sharing via. Blob Storage Service | https://github.com/pytorch/executorch/issues/9002 | [cbilgin](https://github.com/cbilgin) | None | 8 days, 6:02:01 | None | None | None | None | None | None | None | None | None | None |
| Quantized MobileBert Model Fails with XNNPACK Assertion Error on Android Deployment | https://github.com/pytorch/executorch/issues/8994 | [qxuan512](https://github.com/qxuan512) | 6 days, 10:46:40 | None | None | None | None | None | None | None | 0:00:06 | None | None | None |
| Training pybindings can't be installed | https://github.com/pytorch/executorch/issues/8990 | [YuanTingHsieh](https://github.com/YuanTingHsieh) | 13:33:06 | 22:14:11 | None | None | None | None | 8:40:31 | None | None | None | 8:40:54 | None |
| [Request Help] “torch._dynamo.exc.UserError: Could not guard on data-dependent expression Eq(u77 - 1, 1)" | https://github.com/pytorch/executorch/issues/8988 | [liye0626](https://github.com/liye0626) | 5 days, 13:43:25 | 15 days, 3:51:38 | None | None | None | None | None | None | None | None | None | None |
| Enable dynamic shapes for torchao:8daXw quant ops | https://github.com/pytorch/executorch/issues/8981 | [jackzhxng](https://github.com/jackzhxng) | None | None | None | None | None | None | None | None | None | None | None | None |
| Editable mode error for mac installation | https://github.com/pytorch/executorch/issues/8980 | [jackzhxng](https://github.com/jackzhxng) | 1 day, 18:40:42 | 1 day, 22:08:16 | None | None | None | None | 1 day, 22:08:10 | None | None | None | None | None |
| Fail to export QNN model on SXR2230P SOC | https://github.com/pytorch/executorch/issues/8973 | [nirvanagth](https://github.com/nirvanagth) | 1:16:12 | None | None | None | None | None | None | None | None | None | None | None |
| Reduce the number of files / directories at the root of the repository | https://github.com/pytorch/executorch/issues/8966 | [byjlw](https://github.com/byjlw) | None | None | None | None | None | None | None | None | None | None | None | None |
| Replace remaining uses of linearize_access_indexes for broadcasting with BroadcastIndexesRange | https://github.com/pytorch/executorch/issues/8965 | [swolchok](https://github.com/swolchok) | None | None | None | None | None | None | None | None | None | None | None | None |
| [XNNPACK Backend] Modified MobileBERT model outputs original shape on Android despite successful desktop inference | https://github.com/pytorch/executorch/issues/8956 | [qxuan512](https://github.com/qxuan512) | None | 2:40:21 | None | None | None | None | None | None | None | None | None | None |
| Enable ExecuTorch Tensor to store arbitrary resources | https://github.com/pytorch/executorch/issues/8939 | [SS-JIA](https://github.com/SS-JIA) | None | None | None | None | None | None | None | None | None | None | None | None |
| `torchao:` quantization schemes can't find ao lib | https://github.com/pytorch/executorch/issues/8937 | [jackzhxng](https://github.com/jackzhxng) | 6 days, 21:19:58 | None | None | None | None | None | None | None | None | None | None | None |
| Program data separation delegate support | https://github.com/pytorch/executorch/issues/8935 | [lucylq](https://github.com/lucylq) | None | None | None | None | None | None | None | None | None | None | None | None |
| Parallelize portable ops if threadpool is available, with fallback to parallel_for-as-for-loop | https://github.com/pytorch/executorch/issues/8932 | [swolchok](https://github.com/swolchok) | 0:23:41 | None | None | None | None | None | None | None | None | None | None | None |
| Building ExecuTorch on RPi5 with Clang 14.0.6 fails due to bfloat incompatibility | https://github.com/pytorch/executorch/issues/8924 | [spalatinate](https://github.com/spalatinate) | 0:39:58 | None | None | None | None | None | 33 days, 11:14:17.625396 | None | None | None | None | None |
| Error running .pte model with executor_runner | https://github.com/pytorch/executorch/issues/8923 | [corehalt](https://github.com/corehalt) | 4:05:13 | None | None | None | None | None | None | None | None | None | None | None |
| Memory Profiling in DevTools | https://github.com/pytorch/executorch/issues/8911 | [GregoryComer](https://github.com/GregoryComer) | 0:29:07 | None | None | None | None | None | None | None | None | None | None | None |
| [Android] Flatten data structure like dict in arg types | https://github.com/pytorch/executorch/issues/8905 | [kirklandsign](https://github.com/kirklandsign) | None | None | None | 34 days, 9:29:23.069783 | None | None | None | None | None | None | None | None |
| Enable bias quantization for prequantized checkpoints | https://github.com/pytorch/executorch/issues/8903 | [jackzhxng](https://github.com/jackzhxng) | None | 7 days, 17:17:49 | None | None | None | None | None | None | None | None | None | None |
| Missing operator: [3] cadence::quantized_relu.per_tensor_out when following build-run-xtensa tutorial | https://github.com/pytorch/executorch/issues/8900 | [ELR11C](https://github.com/ELR11C) | 0:51:05 | 2 days, 21:24:19 | None | None | None | None | None | None | None | None | None | None |
| XNNPack configurations can be complicated to get right | https://github.com/pytorch/executorch/issues/8884 | [tarun292](https://github.com/tarun292) | 1:30:32 | None | None | None | None | None | None | None | None | None | None | None |
| Building llava cpp runner fails | https://github.com/pytorch/executorch/issues/8881 | [spalatinate](https://github.com/spalatinate) | 4:14:53 | 4 days, 6:52:57 | None | None | None | None | 4 days, 2:40:14 | None | 4 days, 2:40:14 | None | None | None |
| Temperature Settings in Android llama demo (Mediatek) | https://github.com/pytorch/executorch/issues/8878 | [shreshth-tru](https://github.com/shreshth-tru) | 9:15:54 | None | None | 34 days, 13:50:04.817951 | None | None | None | None | 34 days, 13:50:04.817960 | None | None | None |
| Building wheel for executorch (pyproject.toml) did not run successfully. | https://github.com/pytorch/executorch/issues/8874 | [ManojShanmugamTruminds](https://github.com/ManojShanmugamTruminds) | 10:27:46 | None | None | None | None | None | 34 days, 13:48:00.550817 | None | None | None | None | None |
| [Request Help] “torch._dynamo.exc.UserError" | https://github.com/pytorch/executorch/issues/8873 | [liye0626](https://github.com/liye0626) | 16:09:23 | None | None | None | None | None | None | None | None | None | None | None |
| Using Hugging Face model card name in export_llama | https://github.com/pytorch/executorch/issues/8872 | [iseeyuan](https://github.com/iseeyuan) | None | 23 days, 6:38:06 | None | None | None | None | None | None | 23 days, 6:37:41 | None | None | None |
| Successfully registered all kernels from shared library: NOT_SUPPORTED | https://github.com/pytorch/executorch/issues/8870 | [ismukhin](https://github.com/ismukhin) | 5 days, 7:35:39 | None | None | None | None | None | None | None | None | None | None | None |
| Failure to set up Executorch | https://github.com/pytorch/executorch/issues/8869 | [adonnini](https://github.com/adonnini) | 9:59:56 | None | None | None | None | None | None | None | None | None | None | None |
| Add upstream flatcc option to avoid installing under the source tree | https://github.com/pytorch/executorch/issues/8867 | [dbort](https://github.com/dbort) | None | None | None | None | None | None | 37 days, 7:12:29.120441 | None | None | None | None | None |

_This report was generated with the [Issue Metrics Action](https://github.com/github/issue-metrics)_
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Weekly issue metrics report - 2025-03-01..2025-03-07 #25

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Metric	Average	Median	90th percentile
Time to first response	4 days, 7:18:06	11:05:25	12 days, 23:51:55
Time to close	9 days, 7:30:49	7 days, 23:39:31	21 days, 16:28:47
Time to answer	None	None	None
Time spent in module: android	34 days, 11:39:44	34 days, 11:39:44	34 days, 13:24:01
Time spent in module: ios	None	None	None
Time spent in module: benchmark	None	None	None
Time spent in module: build/install	21 days, 19:11:07	31 days, 7:52:39	35 days, 9:25:21
Time spent in module: vulkan	None	None	None
Time spent in module: llm	15 days, 17:01:02	13 days, 16:38:58	32 days, 22:52:43
Time spent in module: ci	None	None	None
Time spent in module: training	8:40:54	8:40:54	8:40:54
Time spent in module: user experience	None	None	None

Metric	Count
Number of items that remain open	36
Number of items closed	14
Number of most active mentors	0
Total number of items created	50

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
Dynamic Parameters for Mediatek Delegate	pytorch/executorch#9035	shreshth-tru	11:05:25	None	None	None	None	None	None	None	None	None	None	None
[Request Help] I refer the Delegate Debugging document to debug the QLoRA_LLama 3.2-1B model, and want to get the pipeline of linear operation delegation and determine the underlying kernel in XNNPACK	pytorch/executorch#9034	liye0626	14:03:51	13 days, 12:59:16	None	None	None	None	None	None	None	None	None	None
[Request Help] I would like to ask, does ExecuTorch have plans to support EAGLE-1/EAGLE-2/EAGLE-3?	pytorch/executorch#9032	liye0626	0:36:22	23:39:28	None	None	None	None	None	None	23:02:45	None	None	None
Don't Serialize Scales/ZP in Flatbuffer	pytorch/executorch#9029	mcr229	2:43:30	None	None	None	None	None	None	None	None	None	None	None
Refactor binary op partitioner configs under binary op config class	pytorch/executorch#9024	mcr229	15 days, 20:42:48	None	None	None	None	None	None	None	None	None	None	None
Partitioner to not delegate mixed dtype operators	pytorch/executorch#9023	mcr229	None	21 days, 3:11:26	None	None	None	None	None	None	None	None	None	None
Duplicate Dynamic Quant Chain in XNNPACK Lowering Flow	pytorch/executorch#9022	mcr229	None	21 days, 22:10:30	None	None	None	None	None	None	None	None	None	None
Support Dynamically Quantized Convolutions	pytorch/executorch#9021	mcr229	28 days, 21:08:49	None	None	None	None	None	None	None	None	None	None	None
Build pip wheel and validate AOT workflow on different backends & host environments in CI	pytorch/executorch#9019	larryliu0820	5 days, 1:47:02	None	None	None	None	None	31 days, 7:53:22.761638	None	None	None	None	None
SDPA custom op works without kv cach	pytorch/executorch#9014	iseeyuan	None	None	None	None	None	None	None	None	31 days, 7:55:22.108628	None	None	None
Freeing unpacked weights immediately after packing	pytorch/executorch#9013	cbilgin	None	None	None	None	None	None	None	None	None	None	None	None
Shared activation memory with ExecuTorch	pytorch/executorch#9012	cbilgin	None	None	None	None	None	None	None	None	None	None	None	None
Setup Build-Size Check in CI for XNNPACK Dependency	pytorch/executorch#9011	cbilgin	None	None	None	None	None	None	None	None	None	None	None	None
Binary Size: Selective Build	pytorch/executorch#9010	cbilgin	25 days, 1:59:35	None	None	None	None	None	31 days, 7:51:54.533246	None	None	None	None	None
Increased Op Coverage:	pytorch/executorch#9009	cbilgin	None	None	None	None	None	None	None	None	None	None	None	None
Dynamism Support in XNNPACK for vision models	pytorch/executorch#9008	cbilgin	None	None	None	None	None	None	None	None	None	None	None	None
Model Load Time: SIMD Packing Kernels for Blockwise Quantization	pytorch/executorch#9007	cbilgin	None	None	None	None	None	None	None	None	None	None	None	None
Inference Latency + Memory Usage: Proper Dim Order Support	pytorch/executorch#9006	cbilgin	None	None	None	None	None	None	None	None	None	None	None	None
Hardened FP16 Support	pytorch/executorch#9005	cbilgin	None	None	None	None	None	None	None	None	None	None	None	None
BF16 Support	pytorch/executorch#9004	cbilgin	11 days, 1:58:00	None	None	None	None	None	None	None	None	None	None	None
Memory Usage: XNNPACK Weights Cache + Blob Storage Service	pytorch/executorch#9003	cbilgin	None	8 days, 6:01:13	None	None	None	None	None	None	None	None	None	None
Model File Size: Backend Weight Sharing via. Blob Storage Service	pytorch/executorch#9002	cbilgin	None	8 days, 6:02:01	None	None	None	None	None	None	None	None	None	None
Quantized MobileBert Model Fails with XNNPACK Assertion Error on Android Deployment	pytorch/executorch#8994	qxuan512	6 days, 10:46:40	None	None	None	None	None	None	None	0:00:06	None	None	None
Training pybindings can't be installed	pytorch/executorch#8990	YuanTingHsieh	13:33:06	22:14:11	None	None	None	None	8:40:31	None	None	None	8:40:54	None
[Request Help] “torch._dynamo.exc.UserError: Could not guard on data-dependent expression Eq(u77 - 1, 1)"	pytorch/executorch#8988	liye0626	5 days, 13:43:25	15 days, 3:51:38	None	None	None	None	None	None	None	None	None	None
Enable dynamic shapes for torchao:8daXw quant ops	pytorch/executorch#8981	jackzhxng	None	None	None	None	None	None	None	None	None	None	None	None
Editable mode error for mac installation	pytorch/executorch#8980	jackzhxng	1 day, 18:40:42	1 day, 22:08:16	None	None	None	None	1 day, 22:08:10	None	None	None	None	None
Fail to export QNN model on SXR2230P SOC	pytorch/executorch#8973	nirvanagth	1:16:12	None	None	None	None	None	None	None	None	None	None	None
Reduce the number of files / directories at the root of the repository	pytorch/executorch#8966	byjlw	None	None	None	None	None	None	None	None	None	None	None	None
Replace remaining uses of linearize_access_indexes for broadcasting with BroadcastIndexesRange	pytorch/executorch#8965	swolchok	None	None	None	None	None	None	None	None	None	None	None	None
[XNNPACK Backend] Modified MobileBERT model outputs original shape on Android despite successful desktop inference	pytorch/executorch#8956	qxuan512	None	2:40:21	None	None	None	None	None	None	None	None	None	None
Enable ExecuTorch Tensor to store arbitrary resources	pytorch/executorch#8939	SS-JIA	None	None	None	None	None	None	None	None	None	None	None	None
`torchao:` quantization schemes can't find ao lib	pytorch/executorch#8937	jackzhxng	6 days, 21:19:58	None	None	None	None	None	None	None	None	None	None	None
Program data separation delegate support	pytorch/executorch#8935	lucylq	None	None	None	None	None	None	None	None	None	None	None	None
Parallelize portable ops if threadpool is available, with fallback to parallel_for-as-for-loop	pytorch/executorch#8932	swolchok	0:23:41	None	None	None	None	None	None	None	None	None	None	None
Building ExecuTorch on RPi5 with Clang 14.0.6 fails due to bfloat incompatibility	pytorch/executorch#8924	spalatinate	0:39:58	None	None	None	None	None	33 days, 11:14:17.625396	None	None	None	None	None
Error running .pte model with executor_runner	pytorch/executorch#8923	corehalt	4:05:13	None	None	None	None	None	None	None	None	None	None	None
Memory Profiling in DevTools	pytorch/executorch#8911	GregoryComer	0:29:07	None	None	None	None	None	None	None	None	None	None	None
[Android] Flatten data structure like dict in arg types	pytorch/executorch#8905	kirklandsign	None	None	None	34 days, 9:29:23.069783	None	None	None	None	None	None	None	None
Enable bias quantization for prequantized checkpoints	pytorch/executorch#8903	jackzhxng	None	7 days, 17:17:49	None	None	None	None	None	None	None	None	None	None
Missing operator: [3] cadence::quantized_relu.per_tensor_out when following build-run-xtensa tutorial	pytorch/executorch#8900	ELR11C	0:51:05	2 days, 21:24:19	None	None	None	None	None	None	None	None	None	None
XNNPack configurations can be complicated to get right	pytorch/executorch#8884	tarun292	1:30:32	None	None	None	None	None	None	None	None	None	None	None
Building llava cpp runner fails	pytorch/executorch#8881	spalatinate	4:14:53	4 days, 6:52:57	None	None	None	None	4 days, 2:40:14	None	4 days, 2:40:14	None	None	None
Temperature Settings in Android llama demo (Mediatek)	pytorch/executorch#8878	shreshth-tru	9:15:54	None	None	34 days, 13:50:04.817951	None	None	None	None	34 days, 13:50:04.817960	None	None	None
Building wheel for executorch (pyproject.toml) did not run successfully.	pytorch/executorch#8874	ManojShanmugamTruminds	10:27:46	None	None	None	None	None	34 days, 13:48:00.550817	None	None	None	None	None
[Request Help] “torch._dynamo.exc.UserError"	pytorch/executorch#8873	liye0626	16:09:23	None	None	None	None	None	None	None	None	None	None	None
Using Hugging Face model card name in export_llama	pytorch/executorch#8872	iseeyuan	None	23 days, 6:38:06	None	None	None	None	None	None	23 days, 6:37:41	None	None	None
Successfully registered all kernels from shared library: NOT_SUPPORTED	pytorch/executorch#8870	ismukhin	5 days, 7:35:39	None	None	None	None	None	None	None	None	None	None	None
Failure to set up Executorch	pytorch/executorch#8869	adonnini	9:59:56	None	None	None	None	None	None	None	None	None	None	None
Add upstream flatcc option to avoid installing under the source tree	pytorch/executorch#8867	dbort	None	None	None	None	None	None	37 days, 7:12:29.120441	None	None	None	None	None

Weekly issue metrics report - 2025-03-01..2025-03-07 #25

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