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OpenMay 28, 2026
Overdue by 9 month(s)
•Due by October 10, 2025
•Last updated 69% complete
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All GA models export to CoreML via. torch.export with the same performance and user experience as torch.jit.trace
triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.All GA models are supported by CoreML and have similar performance to using CoreML via torch.export
triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.Enumerated shape support
triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#9622 In pytorch/executorch;Continuous coverage and performance monitoring of GA models for CoreML backend.
triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#9625 In pytorch/executorch;Establish a process for monitoring and resolving CoreML GH issues, including an SLA
triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#9626 In pytorch/executorch;CI to cover different iOS versions
triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#9628 In pytorch/executorch;Support better tiling algorithms for ANE
triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#9630 In pytorch/executorch;Improve CoreML model loading time
triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#9631 In pytorch/executorch;Improve GPU performance
triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#9629 In pytorch/executorch;CoreML quantization is supported by PyTorch flows (PT2E).
triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#9617 In pytorch/executorch;Enable MobileBert and Albert with XNNPACK quantization
module: xnnpackIssues related to xnnpack delegation and the code under backends/xnnpack/Issues related to xnnpack delegation and the code under backends/xnnpack/Status: Open.#12341 In pytorch/executorch;- Status: Open.#12365 In pytorch/executorch;
- Status: Open.#12378 In pytorch/executorch;
Verify e2e perf uplift after inplacing Portable index_put
module: kernelsIssues related to kernel libraries and utilities, and code under kernels/Issues related to kernel libraries and utilities, and code under kernels/triagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleStatus: Open.#12565 In pytorch/executorch;[Delegate Testing] Add Support for Arm Ethos-U backend (AOT)
actionableItems in the backlog waiting for an appropriate impl/fixItems in the backlog waiting for an appropriate impl/fixmodule: armIssues related to arm backendIssues related to arm backendStatus: Open.#12811 In pytorch/executorch;[Arm] Size-test: Run the binary on CI
actionableItems in the backlog waiting for an appropriate impl/fixItems in the backlog waiting for an appropriate impl/fixgood first issueGood for newcomersGood for newcomersmodule: armIssues related to arm backendIssues related to arm backendStatus: Open.#12812 In pytorch/executorch;[Embedded] Top level task to track SDK integrations
module: microcontrollersFor embedded MCUs like Cortex-M, or RTOS like Zephyr, does not track NPU backend like Arm Ethos.For embedded MCUs like Cortex-M, or RTOS like Zephyr, does not track NPU backend like Arm Ethos.Status: Open.#12903 In pytorch/executorch;[Portable] Enable CI for new GA+ models
module: kernelsIssues related to kernel libraries and utilities, and code under kernels/Issues related to kernel libraries and utilities, and code under kernels/Status: Open.#12911 In pytorch/executorch;[Portable] Core-Aten Coverage - Run ET GA models on CI with FP16 and BF16 Dtype
module: kernelsIssues related to kernel libraries and utilities, and code under kernels/Issues related to kernel libraries and utilities, and code under kernels/Status: Open.#12912 In pytorch/executorch;[Portable] First class support for channels_last dim_order for 3d, 4d, 5d tensors
module: kernelsIssues related to kernel libraries and utilities, and code under kernels/Issues related to kernel libraries and utilities, and code under kernels/Status: Open.#12914 In pytorch/executorch;[Portable] Unblocking optimum-et's 80% perf goal on GA models via portable op perf optimization
actionableItems in the backlog waiting for an appropriate impl/fixItems in the backlog waiting for an appropriate impl/fixStatus: Open.#12915 In pytorch/executorch;[QNN] Add already enabled CI models in the CI
module: qnnIssues related to Qualcomm's QNN delegate and code under backends/qualcomm/Issues related to Qualcomm's QNN delegate and code under backends/qualcomm/Status: Open.#12918 In pytorch/executorch;[QNN] Improve documentation for GA
module: qnnIssues related to Qualcomm's QNN delegate and code under backends/qualcomm/Issues related to Qualcomm's QNN delegate and code under backends/qualcomm/Status: Open.#12919 In pytorch/executorch;[Vulkan] Improve latency for non-LLM models
module: vulkanIssues related to the Vulkan delegate and code under backends/vulkan/Issues related to the Vulkan delegate and code under backends/vulkan/Status: Open.#12921 In pytorch/executorch;[Vulkan] Fix 64-bit I/O in Vulkan Delegate
module: vulkanIssues related to the Vulkan delegate and code under backends/vulkan/Issues related to the Vulkan delegate and code under backends/vulkan/Status: Open.#13083 In pytorch/executorch;