Skip to content

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

New issue

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

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

Already on GitHub? # to your account

Open
github-actions bot opened this issue Apr 7, 2025 · 0 comments
Open

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

github-actions bot opened this issue Apr 7, 2025 · 0 comments
Assignees

Comments

@github-actions
Copy link

github-actions bot commented Apr 7, 2025

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 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

This report was generated with the Issue Metrics Action
Search query used to find these items: repo:pytorch/executorch is:issue created:2025-03-01..2025-03-07

# for free to join this conversation on GitHub. Already have an account? # to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant