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