diff --git a/2.9.0/done/result_distributed.md b/2.9.0/done/result_distributed.md
index e875c05..cd44fff 100644
--- a/2.9.0/done/result_distributed.md
+++ b/2.9.0/done/result_distributed.md
@@ -332,3 +332,7 @@ The categories below are as follows:
 - Work: block_current_stream API ([#156883](https://github.com/pytorch/pytorch/pull/156883))
 - [c10d] block_current_stream: correctness fixes ([#158757](https://github.com/pytorch/pytorch/pull/158757))
 - Add pg transport and tests ([#154653](https://github.com/pytorch/pytorch/pull/154653))
+- Symmetric memory set handle type for ROCm ([#161741](https://github.com/pytorch/pytorch/pull/161741))
+- Symmetric Memory Performance improvements for two-shot allreduce ([#156746](https://github.com/pytorch/pytorch/pull/156746))
+- NVSHMEM support for Triton 3.5 ([#163152](https://github.com/pytorch/pytorch/pull/163152))
+- Fix `put_signal` + `wait_until` hang ([#163194](https://github.com/pytorch/pytorch/pull/163194))
diff --git a/2.9.0/final.md b/2.9.0/final.md
new file mode 100644
index 0000000..2f709ac
--- /dev/null
+++ b/2.9.0/final.md
@@ -0,0 +1,829 @@
+# PyTorch 2.9.0 Release Notes
+- [Highlights](#highlights)
+- [Backwards Incompatible Changes](#backwards-incompatible-changes)
+- [Deprecations](#deprecations)
+- [New Features](#new-features)
+- [Improvements](#improvements)
+- [Bug fixes](#bug-fixes)
+- [Performance](#performance)
+- [Documentation](#documentation)
+- [Developers](#developers)
+- [Security](#security)
+
+
+# Highlights
+TODO
+
+For more details about these highlighted features, you can look at the release blogpost.
+Below are the full release notes for this release.
+
+
+# Backwards Incompatible Changes
+
+## Min supported Python version is now 3.10 ([#162310](https://github.com/pytorch/pytorch/pull/162310))
+
+The minimum version of Python required for PyTorch 2.9.0 is 3.10. We also have 3.14 and 3.14t available as preview with this release.
+
+## Build metal kernels of MacOS-14+ and remove all pre-MacOS-14 specific logic, requires MacOS-14+ going forward ([\#159733](https://github.com/pytorch/pytorch/pull/159733), [\#159912](https://github.com/pytorch/pytorch/pull/159912))
+
+PyTorch MPS is only supported on MacOS-14 or later. If you need to use MPS on MacOS Ventura, please avoid updating to Python-3.9 or above
+
+## Upgrade to DLPack 1.0 ([#145000](https://github.com/pytorch/pytorch/pull/145000))
+
+This upgrade is doing the same BC-breaking changes as the DLPack release.
+Objects in `torch.utils.dlpack` have been updated to reflect these changes, such as `DLDeviceType`.
+See the PR for details on the exact changes and how to update your code.
+
+## Raise appropriate errors in `torch.cat` ([#158249](https://github.com/pytorch/pytorch/pull/158249))
+
+`torch.cat` now raises `ValueError`, `IndexError` or `TypeError` where appropriate instead of the generic `RuntimeError`. If you code was catching these errors, you can update to catch the new error type.
+
+
+## Default to `dynamo=True` for ONNX exporter ([#159646](https://github.com/pytorch/pytorch/pull/159646), [#162726](https://github.com/pytorch/pytorch/pull/162726))
+
+Previously `torch.onnx.export(...)` used the legacy TorchScript exporter if no arguments were provied. The ONNX exporter now uses the newer `torch.export.export` pipeline by default (`dynamo=True`). This change improves graph fidelity and future-proofs exports, but may surface graph capture errors that were previously masked or handled differently.
+
+Previously in torch 2.8.0:
+
+```python
+# API calls the legacy exporter with dynamo=False
+torch.onnx.export(...)
+```
+
+Now in torch 2.9.0:
+
+```python
+# To preserve the original behavior
+torch.onnx.export(..., dynamo=False)
+
+# Export onnx model through torch.export.export
+torch.onnx.export(...)
+```
+
+Recommendation: first try the new default; only fall back if you hit blocking issues and report them upstream.
+Long term solution: fix the root cause instead of relying on fallback or TorchScript exporter.
+
+## In Export, switch off runtime asserts by default in favor of a shape guards function ([#160111](https://github.com/pytorch/pytorch/pull/160111), [#161178](https://github.com/pytorch/pytorch/pull/161178), [#161794](https://github.com/pytorch/pytorch/pull/161794))
+
+
+To enable runtime asserts, use `export(..., prefer_deferred_runtime_asserts_over_guards=True)`. Also kills the `allow_complex_guards_as_runtime_asserts` flag, merging it into the former option.
+
+
+Additionally, `exported_program.module()` will generate a call to a `_guards_fn` submodule that will run additional checks on inputs. Users who do not want this behavior can either remove this call in the graph, or do `exported_program.module(check_guards=False)` to avoid the generation.
+
+## Set default opset to 20 in ONNX ([#158802](https://github.com/pytorch/pytorch/pull/158802))
+
+Opset 20 enables newer operator definitions. If your tooling or downstream runtime only supports opset 18, pin it explicitly. For the latest ONNX operators, you can experiment with opset 23.
+
+Previously in torch 2.8.0:
+
+```python
+# opset_version=18
+torch.onnx.export(...)
+```
+
+Now in torch 2.8.0:
+
+```python
+# To preserve the original behavior
+torch.onnx.export(..., opset_version=18)
+
+# New: opset_version=20
+torch.onnx.export(...)
+
+# Use the latest supported opset: opset_version=23
+torch.onnx.export(..., opset_version=23)
+```
+
+## Drop `draft_export` in exporter API ([#161454](https://github.com/pytorch/pytorch/pull/161454), [#162225](https://github.com/pytorch/pytorch/pull/162225))
+
+Remove implicit draft tracing from the default exporter path, achieving clearer behaviour and faster failures.
+The expensive `torch.export.draft_export` diagnostic path is no longer auto-invoked (which could take hours on large models). You can still opt in for deep diagnostics:
+
+Previously in torch 2.8.0:
+
+```bash
+# If both torch.export.export(..., strict=False) and
+# torch.export.export(..., strict=True) fail to capture
+# the model graph, torch.export.draft_export(...) will be triggered,
+# and uses real tensor to trace/export the model.
+#
+# Inside export_to_onnx.py:
+#  ... torch.onnx.export(..., dynamo=True)
+python export_to_onnx.py
+```
+
+Now in torch 2.9.0:
+
+```bash
+# To trigger torch.export.draft_export once
+# torch.export.export strict=False/True both
+# fail:
+
+TORCH_ONNX_ENABLE_DRAFT_EXPORT=True python export_to_onnx.py
+```
+
+## Remove `torch.onnx.dynamo_export` and the `onnxrt` torch compile backend ([#158130](https://github.com/pytorch/pytorch/pull/158130), [#158258](https://github.com/pytorch/pytorch/pull/158258))
+
+`torch.onnx.dynamo_export` is removed. Please use `torch.onnx.export` instead.
+The experimental ONNX Runtime compile backend (`torch.compile(backend="onnxrt")`) is no longer supported.
+
+## Remove `torch.onnx.enable_fake_mode` ([#161222](https://github.com/pytorch/pytorch/pull/161222))
+
+The `dynamo=True` mode uses `FakeTensor`s by default which is memory efficient.
+
+## In ONNX, some public facing utility APIs for the TorchScript based exporter are now private ([#161323](https://github.com/pytorch/pytorch/pull/161323))
+
+Deprecated members in `torch.onnx.verification` are removed. Previously private `torch.onnx.symbolic_opsets*` functions will no longer be accessible. Consider making a copy of the source code if you need to access any private functions for compatibility with the TorchScript based exporter.
+
+## Remove `torch.onnx.symbolic_caffe2` ([#157102](https://github.com/pytorch/pytorch/pull/157102))
+
+Support for `caffe2` in the ONNX exporter has ended and is removed.
+
+## Remove `/d2implyavx512upperregs` flag that slows build ([#159431](https://github.com/pytorch/pytorch/pull/159431))
+
+Re-introduced AVX512 optimizations for Windows VS2022 builds, may cause issues with specific versions of VS2022, see [#145702](https://github.com/pytorch/pytorch/issues/145702)
+
+## Add `ScalarType` to shim conversion and `stable::Tensor.scalar_type` ([#160557](https://github.com/pytorch/pytorch/pull/160557))
+
+Before, user extensions could only in abstract pass around obfuscated dtypes appearing as `int32_ts`. Now, users can confidently use `torch::headeronly::ScalarType` in their extensions for major scalar types. This PR enables ABI stability by adding a translation layer through the shim, so that even if the `ScalarType` enum values change in the future, user extensions need not fear.
+
+This change adds ScalarType support for user extensions and is only narrowly BC breaking for unpopular dtypes: `quint*`s, `qint*`s, `Bits*`, `dummy_uint*`s, `dummy_int*`s, `Float8_e8m0fnu`, and `Float4_e2m1fn_x2` in the use case where an extension retrieves a Tensor dtype of the above and passes it into `aoti_torch_call_dispatcher`.
+
+# Deprecations
+## Deprecate `pin_memory_device` param in `torch.utils.data.DataLoader` ([#158323](https://github.com/pytorch/pytorch/pull/158323))
+
+We move enabling `pin_memory` back inside `BaseDataLoaderIter`. This is required for `StatefulDataloader` which leveraged `BaseDataLoaderIter` direclty rather than the `Dataloader` class init
+
+## Deprecate `torch.export.export_for_training` API in favor of equivalent `torch.export.export` API ([#158203](https://github.com/pytorch/pytorch/pull/158203))
+
+`torch.export.export_for_training` exists because we couldn't migrate internal usages of export to the final IR. Now that we have completed the migration, we deprecated and deleted this API.
+
+# New Features
+## Python Frontend
+- Add utility to get the kernel currently registered on the dispatcher ([#158393](https://github.com/pytorch/pytorch/pull/158393))
+- Extend `__torch_function__` handler to be triggered by elements within a list ([#160256](https://github.com/pytorch/pytorch/pull/160256))
+- Add `torch.hash_tensor` reduction function ([#154149](https://github.com/pytorch/pytorch/pull/154149))
+
+## FX
+- Extend torch function support to ALL arguments instead of just scalar type (but not inside of list) ([#145089](https://github.com/pytorch/pytorch/pull/145089))
+- Add `is_fx_symbolic_tracing` flag ([#161385](https://github.com/pytorch/pytorch/pull/161385))
+
+## Dynamo
+- Experimental API for ahead-of-time compiling models in fullgraph mode ([#161383](https://github.com/pytorch/pytorch/pull/161383))
+- Add a hook for recompilations ([#157961](https://github.com/pytorch/pytorch/pull/157961))
+- DynamicInts prototype ([#162194](https://github.com/pytorch/pytorch/pull/162194))
+
+Introduces an API for annotating dynamic integer inputs & attributes for `torch.compile`, by wrapping plain ints with `DynamicInt()`.
+DynamicInt objects also work in eager mode, acting as their underlying values when passed as scalar inputs.
+
+```python
+a = DynamicInt(4)
+y = a + 2  # DynamicInt(6)
+z = torch.ones(a)  # torch.ones(4)
+
+fn = torch.compile(torch.ones)
+fn(a)  # compiled fn takes a dynamic integer input
+fn(2)  # returns torch.ones(2) without recompiling
+```
+
+
+## Optimizer
+- Introduce Muon optimizer to PyTorch ([#160213](https://github.com/pytorch/pytorch/pull/160213))
+
+## Profiler
+- Add GC Events to Python Stack Tracer ([#161209](https://github.com/pytorch/pytorch/pull/161209))
+- Add a custom profiler configuration option ([#151656](https://github.com/pytorch/pytorch/pull/151656))
+
+## Inductor
+- Allow user to pass in custom partitioner function ([#157580](https://github.com/pytorch/pytorch/pull/157580))
+
+## Export
+- Add support for param mutation under inference mode ([#159661](https://github.com/pytorch/pytorch/pull/159661))
+
+## AOTDispatcher
+- Add AOTDispatcher config to set backward autocast behavior ([#156356](https://github.com/pytorch/pytorch/pull/156356))
+
+## Quantization
+- Enable cpu fp8 qlinear and cpu fp8 qconv ([#155678](https://github.com/pytorch/pytorch/pull/155678), [#157076](https://github.com/pytorch/pytorch/pull/157076))
+
+## ONNX
+- RMS Norm support in opset 23 ([#159377](https://github.com/pytorch/pytorch/pull/159377))
+
+## C++ Extensions
+- Build out a stable set of ATen ops in `torch/csrc/stable/ops.h`:  `amax`, `narrow`, `new_empty` + `new_zeros` dtype variant, `pad`, ([#159328](https://github.com/pytorch/pytorch/pull/159328), [#158974](https://github.com/pytorch/pytorch/pull/158974), [#159508](https://github.com/pytorch/pytorch/pull/159508), [#161597](https://github.com/pytorch/pytorch/pull/161597), [#160214](https://github.com/pytorch/pytorch/pull/160214), )
+- Add `torch::stable::Tensor()` default constructor,  `is_cpu`, and `get_device_index`([#159507](https://github.com/pytorch/pytorch/pull/159507), [#160212](https://github.com/pytorch/pytorch/pull/160212), [#160143](https://github.com/pytorch/pytorch/pull/160143))
+- Add beginnings of `torch::stable::accelerator` with support for DeviceGuard and Stream ([#159679](https://github.com/pytorch/pytorch/pull/159679), [#160453](https://github.com/pytorch/pytorch/pull/160453))
+- Start building out `torch/headeronly`: c10 Macros, STD_TORCH_CHECK, ScalarTypes (like BFloat16 and Half) ([#158035](https://github.com/pytorch/pytorch/pull/158035), [#158365](https://github.com/pytorch/pytorch/pull/158365), [#157912](https://github.com/pytorch/pytorch/pull/157912), [#158377](https://github.com/pytorch/pytorch/pull/158377), [#159302](https://github.com/pytorch/pytorch/pull/159302), [#159414](https://github.com/pytorch/pytorch/pull/159414), [#159412](https://github.com/pytorch/pytorch/pull/159412), [#159415](https://github.com/pytorch/pytorch/pull/159415), [#159411](https://github.com/pytorch/pytorch/pull/159411), [#159911](https://github.com/pytorch/pytorch/pull/159911))
+- Remove cmake cache and reconfigure again if it is invalid ([#156958](https://github.com/pytorch/pytorch/pull/156958))
+- Cut a version of `TORCH_ERROR_CODE_CHECK` in `headeronly` from AOTI ([#159604](https://github.com/pytorch/pytorch/pull/159604))
+- Remove `wheel` from build requirements ([#158027](https://github.com/pytorch/pytorch/pull/158027))
+- Error when `TORCH_STABLE_ONLY` is defined in `TensorBase.h` ([#161658](https://github.com/pytorch/pytorch/pull/161658))
+
+## Build Frontend
+- Add transpose to `torch/csrc/stable` ([#158160](https://github.com/pytorch/pytorch/pull/158160))
+- Add `zero_()` and `empty_like(t)` to `torch/csrc/stable/ops.h` ([#158866](https://github.com/pytorch/pytorch/pull/158866))
+
+## Release Engineering
+- Add support for CUDA 13.0 in CI/CD builds. Enable CUDA compression mode for binary size reduction for CUDA 13.0 builds ([#160956](https://github.com/pytorch/pytorch/pull/160956)) ([#161073](https://github.com/pytorch/pytorch/pull/161073)) ([#161257](https://github.com/pytorch/pytorch/pull/161257)) ([#161663](https://github.com/pytorch/pytorch/pull/161663)) ([#161316](https://github.com/pytorch/pytorch/pull/161316)) ([#160201](https://github.com/pytorch/pytorch/pull/160201)) ([#160770](https://github.com/pytorch/pytorch/pull/160770)) ([#161013](https://github.com/pytorch/pytorch/pull/161013)) ([#161916](https://github.com/pytorch/pytorch/pull/161916)) ([#162268](https://github.com/pytorch/pytorch/pull/162268)) ([#162322](https://github.com/pytorch/pytorch/pull/162322)) ([#162383](https://github.com/pytorch/pytorch/pull/162383)) ([#161833](https://github.com/pytorch/pytorch/pull/161833))
+
+- Enable CUDA 12.6, 12.8 and 13.0 support for Linux ARM64 CD builds ([#162364](https://github.com/pytorch/pytorch/pull/162364)) ([#160720](https://github.com/pytorch/pytorch/pull/160720)) ([#159481](https://github.com/pytorch/pytorch/pull/159481))
+
+- Add support for Python 3.14 in CI/CD builds ([#156889](https://github.com/pytorch/pytorch/pull/156889)) ([#157559](https://github.com/pytorch/pytorch/pull/157559)) ([#159261](https://github.com/pytorch/pytorch/pull/159261)) ([#159869](https://github.com/pytorch/pytorch/pull/159869)) ([#160593](https://github.com/pytorch/pytorch/pull/160593)) ([#160788](https://github.com/pytorch/pytorch/pull/160788)) ([#161255](https://github.com/pytorch/pytorch/pull/161255)) ([#159725](https://github.com/pytorch/pytorch/pull/159725))
+
+- Enable NVSHMEM integration ([#151261](https://github.com/pytorch/pytorch/pull/151261)) ([#153010](https://github.com/pytorch/pytorch/pull/153010)) ([#154538](https://github.com/pytorch/pytorch/pull/154538)) ([#155506](https://github.com/pytorch/pytorch/pull/155506)) ([#156685](https://github.com/pytorch/pytorch/pull/156685)) ([#158938](https://github.com/pytorch/pytorch/pull/158938)) ([#161321](https://github.com/pytorch/pytorch/pull/161321)) ([#160778](https://github.com/pytorch/pytorch/pull/160778)) ([#159907](https://github.com/pytorch/pytorch/pull/159907)) ([#160465](https://github.com/pytorch/pytorch/pull/160465))
+
+## CUDA
+- Add getter for CUDA graph exec to allow mutation of captured kernel params ([#161294](https://github.com/pytorch/pytorch/pull/161294))
+- Implement support for `cudnn_batch_norm_out` kernel to replace the autogen approach ([#123020](https://github.com/pytorch/pytorch/pull/123020))
+
+## CPU
+- Support GQA for flash attention ([#157893](https://github.com/pytorch/pytorch/pull/157893))
+
+## MPS
+- Partial sparse support for MPS backend ([\#159729](https://github.com/pytorch/pytorch/pull/159729), [\#160254](https://github.com/pytorch/pytorch/pull/160254), [\#160223](https://github.com/pytorch/pytorch/pull/160223), [\#161846](https://github.com/pytorch/pytorch/pull/161846), [\#162007](https://github.com/pytorch/pytorch/pull/162007), [#157238](https://github.com/pytorch/pytorch/pull/157238))
+- Add `avg_pool3d`, `max_unpool1d/2d/3d`, `max_pool3d`, `max_pool3d` bwd pass, and `avg_pool3d` bwd pass for MPS ([#158877](https://github.com/pytorch/pytorch/pull/158877),[#159789](https://github.com/pytorch/pytorch/pull/159789), [#156467](https://github.com/pytorch/pytorch/pull/156467), [#157498](https://github.com/pytorch/pytorch/pull/157498), [#159089](https://github.com/pytorch/pytorch/pull/159089))
+
+## ROCm
+- OCP Micro-scaling Format (mx-fp8/mx-fp4) Support ([#151360](https://github.com/pytorch/pytorch/pull/151360))
+
+## XPU
+- Enable `FlexAttention` on Intel GPU ([#143553](https://github.com/pytorch/pytorch/pull/143553))
+
+# Improvements
+## Python Frontend
+- Speed up `torch.load` under `FakeTensorMode` by reducing random reads ([#157931](https://github.com/pytorch/pytorch/pull/157931))
+- Make `torch.utils.benchmark.utils.timer` accelerator agnostic ([#157131](https://github.com/pytorch/pytorch/pull/157131))
+- Improve error message for weight-only load errors ([#159935](https://github.com/pytorch/pytorch/pull/159935))
+
+## torch.nn
+- Allow `register_buffer` with `Tensor`-like objects ([#159455](https://github.com/pytorch/pytorch/pull/159455))
+- Improve error message for unsupported padding configurations ([#160866](https://github.com/pytorch/pytorch/pull/160866))
+- Validate target is 0D when input is 1D in `NLLLoss` ([#161412](https://github.com/pytorch/pytorch/pull/161412))
+
+## Optimizer
+- Resolve warning in LBFGS when converting a tensor with `requires_grad=True` to a scalar ([#160389](https://github.com/pytorch/pytorch/pull/160389))
+- Resolve `SequentialLR` deprecation warning about invoking `step(epoch)` ([#149392](https://github.com/pytorch/pytorch/pull/149392))
+
+## Autograd
+- Support deterministic `torch.nn.Upsample` `mode="trilinear"` backward ([#154239](https://github.com/pytorch/pytorch/pull/154239))
+
+## Distributed
+### c10d
+  - Add improvements to eager init of `ProcessGroupNCCL` ([#156748](https://github.com/pytorch/pytorch/pull/156748))
+  - Simplify unique hash management of `ProcessGroupNCCL` ([#156790](https://github.com/pytorch/pytorch/pull/156790))
+  - Support per operation timeouts in `ProcessGroupGloo` ([#158128](https://github.com/pytorch/pytorch/pull/158128))
+  - Allow ping to be retried in `TCPStore` ([#159165](https://github.com/pytorch/pytorch/pull/159165))
+  - Support scalar tensor for functional `all_gather` ([#149913](https://github.com/pytorch/pytorch/pull/149913))
+  - Expos `unsafe_get_ptr` for dist.ProcessGroupNCCL.NCCLConfig ([#161136](https://github.com/pytorch/pytorch/pull/161136))
+  - Add batch option for `send/recv_object_list` ([#160342](https://github.com/pytorch/pytorch/pull/160342))
+  - Make FakeStore optional to be passed into fake backend ([#162164](https://github.com/pytorch/pytorch/pull/162164))
+  - Enable complex datatype support in `ProcessGroupGloo` ([#156633](https://github.com/pytorch/pytorch/pull/156633))
+  - Move thread-local capture mode guard to include `work.isStarted` ([#160398](https://github.com/pytorch/pytorch/pull/160398))
+### DistributedDataParallel (DDP)
+  - Support ddp zero hook XCCL path ([#159240](https://github.com/pytorch/pytorch/pull/159240))
+### DTensor
+  - Relax `device_mesh` argument constraint in `local_map` ([#157049](https://github.com/pytorch/pytorch/pull/157049))
+  - Support complex numbers in DTensor redistribute ([#157329](https://github.com/pytorch/pytorch/pull/157329))
+  - Rework partial propagation in point-wise op and support mul ([#157340](https://github.com/pytorch/pytorch/pull/157340))
+  - Allow dynamic shapes for `DTensor` slice ([#157953](https://github.com/pytorch/pytorch/pull/157953))
+  - Implement `histc` op ([#158298](https://github.com/pytorch/pytorch/pull/158298))
+  - Made dispatch to sharding prop over decomps ([#159324](https://github.com/pytorch/pytorch/pull/159324))
+  - Support user-supplied Generator for random ops ([#159933](https://github.com/pytorch/pytorch/pull/159933))
+  - Add `propagate_tensor_meta` function that skips cache if `_are_we_tracing` ([#161334](https://github.com/pytorch/pytorch/pull/161334))
+  - Support `local_map` as a decorator ([#161353](https://github.com/pytorch/pytorch/pull/161353))
+### Device Mesh
+  - Enable the use of user set backend and pg option even for the global mesh ([#157501](https://github.com/pytorch/pytorch/pull/157501))
+  - Enable slicing a submesh with warnings ([#158899](https://github.com/pytorch/pytorch/pull/158899))
+  - Allow controlling PG backend and options via `init_device_mesh` ([#159371](https://github.com/pytorch/pytorch/pull/159371))
+### FullyShardedDataParallel2 (FSDP2)
+  - Support custom `all_gather` and `reduce_scatter` comms ([#155189](https://github.com/pytorch/pytorch/pull/155189))
+  - Made it fail `set_allocate_memory_from_process_group` if used together with custom comm hooks ([#157487](https://github.com/pytorch/pytorch/pull/157487))
+  - Use `reduceOpSum` when world size is 1 ([#157529](https://github.com/pytorch/pytorch/pull/157529))
+  - Skipp `allgather` when world size is 1 ([#160135](https://github.com/pytorch/pytorch/pull/160135))
+  - Use `post_reduce_stream.record_event()` on hsdp+cpuoffload ([#160481](https://github.com/pytorch/pytorch/pull/160481))
+### Tensor Parallel (TP)
+  - Improve `parallelize_module` API to support more cases ([#157182](https://github.com/pytorch/pytorch/pull/157182))
+### TensorPipe
+  - Update TensorPipe pinned dependency version ([#159834](https://github.com/pytorch/pytorch/pull/159834))
+### TorchElastic
+  - Enable NUMA binding integration with elastic agent and `torchrun` ([#149334](https://github.com/pytorch/pytorch/pull/149334))
+  - Support NUMA Binding for Callable Entrypoints ([#160163](https://github.com/pytorch/pytorch/pull/160163), [#161183](https://github.com/pytorch/pytorch/pull/161183))
+### Pipeline Parallelism (PP)
+  - Add `eval()` API to schedule ([#157795](https://github.com/pytorch/pytorch/pull/157795))
+  - Allow intermediate nodes in zero bubble to have multiple grads ([#159084](https://github.com/pytorch/pytorch/pull/159084))
+  - Support `OVERLAP_F_B` computation type ([#158978](https://github.com/pytorch/pytorch/pull/158978))
+  - Initializ P2P communicators on first step ([#160210](https://github.com/pytorch/pytorch/pull/160210))
+  - Add `DualPipeV` schedule ([#159591](https://github.com/pytorch/pytorch/pull/159591))
+
+## Linear Algebra Frontend
+- Use rocSOLVER for Cholesky inversion on AMD. ([#157154](https://github.com/pytorch/pytorch/pull/157154))
+- Add option for using TF32 as fp32 internal precision for matmul/linear/conv on MKLDNN ([#157520](https://github.com/pytorch/pytorch/pull/157520))
+- Make einsum produce contiguous outputs in more cases ([#161755](https://github.com/pytorch/pytorch/pull/161755))
+
+## Profiler
+- Add more CUDA API for kernel launcher ([#156016](https://github.com/pytorch/pytorch/pull/156016))
+- Allow Custom Time Unit When Printing Profiler Table ([#157913](https://github.com/pytorch/pytorch/pull/157913))
+- Update CUDA runtime kernel identification logic ([#157890](https://github.com/pytorch/pytorch/pull/157890))
+
+## FX
+- Fix DCE eliminating random operations by improving `is_impure()` (#151524) ([#157981](https://github.com/pytorch/pytorch/pull/157981))
+- Support converting a float32 tensor to a scalar in FX trace. ([#158216](https://github.com/pytorch/pytorch/pull/158216))
+- Correctly copy `self.module_stack` in ModuleStackTracer ([#159956](https://github.com/pytorch/pytorch/pull/159956))
+- Add tool to track events in graph split ([#159795](https://github.com/pytorch/pytorch/pull/159795))
+- Add `node_name_match` to subgraph rewriter ([#157574](https://github.com/pytorch/pytorch/pull/157574))
+
+## Dynamo
+- Improve tracing support for various Python builtin data structures/modules:
+  - `list`s (e.g. [#153969](https://github.com/pytorch/pytorch/pull/153969))
+  - `set`s (e.g. [#153150](https://github.com/pytorch/pytorch/pull/153150))
+  - `dict`s (e.g. [#154794](https://github.com/pytorch/pytorch/pull/154794))
+  - `iter` (e.g. [#156371](https://github.com/pytorch/pytorch/pull/156371))
+  - `itertools` (e.g. [#159693](https://github.com/pytorch/pytorch/pull/159693))
+  - `collections` (e.g. [#159365](https://github.com/pytorch/pytorch/pull/159365))
+  - `collections.NamedTuple` ([#159367](https://github.com/pytorch/pytorch/pull/159367))
+  - frozen `dataclasses.dataclass` ([#159529](https://github.com/pytorch/pytorch/pull/159529))
+- Graph break error messages link to a website with more information ([#159011](https://github.com/pytorch/pytorch/pull/159011))
+- Add option for `TorchDispatchMode` to ignore `torch.compile` internals ([#161648](https://github.com/pytorch/pytorch/pull/161648))
+
+## Inductor
+- Add Inductor support for MTIA backend ([#159211](https://github.com/pytorch/pytorch/pull/159211))
+- Share default device context when all graph partitions and cudagraph-unsafe ops are on the same device([#162873](https://github.com/pytorch/pytorch/pull/162873))
+
+## Ahead-Of-Time Inductor (AOTI)
+- Enable AOTI for CPU on Windows ([#158915](https://github.com/pytorch/pytorch/pull/158915))
+- Re-enable TMA templates w/ AOTI ([#157819](https://github.com/pytorch/pytorch/pull/157819))
+- Don't allow int32 indices if `{non-inf, > int32_max}` upper bound is provided ([#159433](https://github.com/pytorch/pytorch/pull/159433))
+- Add RecordFunction to C shim so that profiling works with AOTI ([#159842](https://github.com/pytorch/pytorch/pull/159842))
+- Add AOTI C shim functions for collective ops ([#154492](https://github.com/pytorch/pytorch/pull/154492))
+- Add missing ops to set of C-shim ops which can have nullptr returns ([#158073](https://github.com/pytorch/pytorch/pull/158073))
+
+## Export
+- Handle `None` & ellipsis slicing/select in non-strict ([#157821](https://github.com/pytorch/pytorch/pull/157821))
+- Extend FP8 types in serialization ([#158430](https://github.com/pytorch/pytorch/pull/158430))
+- Improve error messages for deserialization ([#159881](https://github.com/pytorch/pytorch/pull/159881))
+- Support serialization for `triton_kernel_wrapper_functional` HOP ([#161314](https://github.com/pytorch/pytorch/pull/161314))
+- Support serialization for complex constants ([#161517](https://github.com/pytorch/pytorch/pull/161517))
+- Add runtime asserts to `while_loop` HOP subgraphs ([#158467](https://github.com/pytorch/pytorch/pull/158467))
+- Warn on side-effectful code in strict mode ([#160060](https://github.com/pytorch/pytorch/pull/160060))
+- Support for vmap in pre-dispatch export ([#154650](https://github.com/pytorch/pytorch/pull/154650))
+- Support vmap and custom autograd function/improve DTensor constructor inefficiency ([#162240](https://github.com/pytorch/pytorch/pull/162240))
+
+## AOTDispatcher
+- Skip logging in fp8 activation quantization if there are no nodes to be quantized ([#158129](https://github.com/pytorch/pytorch/pull/158129))
+- Add `aot_export_joint_with_descriptors` and `aot_compile_joint_with_descriptors` ([#158715](https://github.com/pytorch/pytorch/pull/158715))
+- Extract out `prepare_aot_module_simplified` for use in next PR ([#158319](https://github.com/pytorch/pytorch/pull/158319))
+- Rename modules in AOTAutograd ([#158449](https://github.com/pytorch/pytorch/pull/158449))
+- Track descriptors for all inputs/outputs of AOTAutograd traced graph ([#158624](https://github.com/pytorch/pytorch/pull/158624))
+- Improve graph output alias with subclass error message ([#159619](https://github.com/pytorch/pytorch/pull/159619))
+- Pass fw/bw compilers to `aot_export_joint_with_descriptors` ([#159814](https://github.com/pytorch/pytorch/pull/159814))
+
+## Composability
+- Meta implementation for `aten.add.Scalar` ([#161332](https://github.com/pytorch/pytorch/pull/161332))
+- `aten.expand_copy` decomp ([#161688](https://github.com/pytorch/pytorch/pull/161688))
+- Fix result dtype cast in decomp for `aten.linalg_vector_norm` ([#155111](https://github.com/pytorch/pytorch/pull/155111))
+- Add dtype checks in meta implementation for several ordering ops ([#159556](https://github.com/pytorch/pytorch/pull/159556))
+- Fix meta function for `aten.complex` ([#160894](https://github.com/pytorch/pytorch/pull/160894))
+- Improve unbacked symint (dynamic shape) support for several decompositions ([#148815](https://github.com/pytorch/pytorch/pull/148815), [#156902](https://github.com/pytorch/pytorch/pull/156902), [#157008](https://github.com/pytorch/pytorch/pull/157008), [#158894](https://github.com/pytorch/pytorch/pull/158894), [#159184](https://github.com/pytorch/pytorch/pull/159184), [#160683](https://github.com/pytorch/pytorch/pull/160683), [#160253](https://github.com/pytorch/pytorch/pull/160253), [#162084](https://github.com/pytorch/pytorch/pull/162084), [#162099](https://github.com/pytorch/pytorch/pull/162099), [#162109](https://github.com/pytorch/pytorch/pull/162109), [#160462](https://github.com/pytorch/pytorch/pull/160462))
+
+## Quantization
+- Avoid getting model device once per node for pt2e quantization flow ([#159901](https://github.com/pytorch/pytorch/pull/159901))
+- Fixes bug in implementation of `HistogramObserver` ([#156457](https://github.com/pytorch/pytorch/pull/156457))
+- Support `bias=None` for `fbgemm_linear_fp16_weight` CPU op ([#158535](https://github.com/pytorch/pytorch/pull/158535))
+- Add Static Dispatch Kernel for `wrapped_fbgemm_linear_fp16_weight` for Sigmoid ([#160451](https://github.com/pytorch/pytorch/pull/160451))
+
+## Nested Tensor (NJT)
+- Added initial `log_softmax()` support ([#159662](https://github.com/pytorch/pytorch/pull/159662))
+
+## Foreach
+- Invoke `vector.reserve()` consistently for non-inplace foreach operations ([#161128](https://github.com/pytorch/pytorch/pull/161128))
+- Faster and safer lambda expression capture in `has_integral_tensor()` ([#161042](https://github.com/pytorch/pytorch/pull/161042))
+
+## ONNX
+- Support symbolic arguments in ONNX exporter ([#157734](https://github.com/pytorch/pytorch/pull/157734))
+- Fix `torch.tensor` warning in ONNX `symbolic_opset10` export  ([#158835](https://github.com/pytorch/pytorch/pull/158835))
+
+## C++ Frontend
+- Generalized `AllocatorConfig` to be device-agnostic via new `AcceleratorAllocatorConfig` ([#149601](https://github.com/pytorch/pytorch/pull/149601), [#150312](https://github.com/pytorch/pytorch/pull/150312))
+- Added `Scalar::isUnsigned()` method ([#159877](https://github.com/pytorch/pytorch/pull/159877))
+- Exposed `ModelRunner` from nativert as public ([#159989](https://github.com/pytorch/pytorch/pull/159989))
+- Improve error message for `torch.binomial` enforcing float inputs ([#157658](https://github.com/pytorch/pytorch/pull/157658))
+
+## Build Frontend
+- Fix dev warning in `Dependencies.cmake` ([#159702](https://github.com/pytorch/pytorch/pull/159702))
+- Fix building system gloo with CUDA/HIP ([#146637](https://github.com/pytorch/pytorch/pull/146637))
+- Build `libtorch` without NVSHMEM ([#160910](https://github.com/pytorch/pytorch/pull/160910))
+- Improve BLAS feature detection ([#143846](https://github.com/pytorch/pytorch/pull/143846))
+
+## Release Engineering
+- Enable vLLM testing workflow ([#160583](https://github.com/pytorch/pytorch/pull/160583)) ([#161565](https://github.com/pytorch/pytorch/pull/161565)) ([#162292](https://github.com/pytorch/pytorch/pull/162292)) ([#162000](https://github.com/pytorch/pytorch/pull/162000)) ([#161797](https://github.com/pytorch/pytorch/pull/161797))
+- Enable Windows ARM64 CI testing ([#148753](https://github.com/pytorch/pytorch/pull/148753)) ([#161504](https://github.com/pytorch/pytorch/pull/161504))
+- Enable PyTorch ROCm CI for MI355X testing. ([#158889](https://github.com/pytorch/pytorch/pull/158889))
+
+## CUDA
+- Make cublaslt/hipblaslt workspaces persistent ([#156495](https://github.com/pytorch/pytorch/pull/156495))
+- Remove unnecessary warnings during the ATen compilation process ([#157703](https://github.com/pytorch/pytorch/pull/157703))
+- Slightly improve error message from `repeat_interleave` kernel ([#157996](https://github.com/pytorch/pytorch/pull/157996))
+- Add framework for explanations for common CUDA errors ([#158395](https://github.com/pytorch/pytorch/pull/158395))
+- Upgrade KernelLauncher `kernelLaunchCheck` to print help string ([#158896](https://github.com/pytorch/pytorch/pull/158896))
+- Prep for cutlass upgrade by ignoring `Wunused-but-set-variable` ([#159276](https://github.com/pytorch/pytorch/pull/159276))
+- Workaround ATen SFINAE under `libc++` ([#161101](https://github.com/pytorch/pytorch/pull/161101))
+- Implement changes to CCCL (CUB/Thrust/LibCUDACXX) usage in ATen ([#153373](https://github.com/pytorch/pytorch/pull/153373))
+- Add maybe unused flag to remove warning ([#157655](https://github.com/pytorch/pytorch/pull/157655))
+- Use new CCCL API in v2.8 ([#160554](https://github.com/pytorch/pytorch/pull/160554))
+- Improve cupy device placement when device is provided with explicit index ([#158529](https://github.com/pytorch/pytorch/pull/158529))
+
+## CPU (AArch64)
+- Made PyTorch compilable with gcc-14 on ARM ([#157867](https://github.com/pytorch/pytorch/pull/157867))
+
+## MPS
+- Add `shifted_chebyshev_polynomial_[tuvw]`, `igamma/igammac,grid_sampler_3d, native_dropout`/`native_dropout_backward`  ([\#157488](https://github.com/pytorch/pytorch/pull/157488), [\#161927](https://github.com/pytorch/pytorch/pull/161927), [\#160541](https://github.com/pytorch/pytorch/pull/160541), [\#162108](https://github.com/pytorch/pytorch/pull/162108))
+- Extend atomic operations to all int types ([\#158179](https://github.com/pytorch/pytorch/pull/158179))
+- Extend `index_put` to complex types ([\#160159](https://github.com/pytorch/pytorch/pull/160159))
+- Extend `addmm` to integral types ([\#160270](https://github.com/pytorch/pytorch/pull/160270))
+- Add support for unsigned types ([\#159094](https://github.com/pytorch/pytorch/pull/159094))
+- Add API to query GPU core count ([\#160414](https://github.com/pytorch/pytorch/pull/160414))
+- Add `kthvalue` ([\#161817](https://github.com/pytorch/pytorch/pull/161817))
+- Type-promote tensor-iterator common dtype ([\#160334](https://github.com/pytorch/pytorch/pull/160334))
+- Implement `logcumsumexp` metal kernel ([\#156858](https://github.com/pytorch/pytorch/pull/156858))
+- Enable `dlpack` integration ([\#158888](https://github.com/pytorch/pytorch/pull/158888))
+- Dynamic reductions ([\#159355](https://github.com/pytorch/pytorch/pull/159355))
+- Update `avg_pool2d` to use Metal kernel when `ceil_mode=True` ([\#161011](https://github.com/pytorch/pytorch/pull/161011))
+
+## ROCm
+- Additional hipify mappings ([#158056](https://github.com/pytorch/pytorch/pull/158056), [#158352](https://github.com/pytorch/pytorch/pull/158352), [#161992](https://github.com/pytorch/pytorch/pull/161992))
+- Refactor `composable_kernel` (CK) backend user interface to improve user experience ([#152951](https://github.com/pytorch/pytorch/pull/152951))
+- Allow use of `rocSOLVER` for Cholesky inversion. ([#157154](https://github.com/pytorch/pytorch/pull/157154))
+- AOT Inductor enable gfx950 for max autotune using CK ([#159195](https://github.com/pytorch/pytorch/pull/159195))
+- Add flag `torch.backends.miopen.immediate` to toggle MIOpen Immediate Mode instead of relying on `deterministic=True` and `benchmark=False` ([#158951](https://github.com/pytorch/pytorch/pull/158951))
+- MIOpen convolutions no longer call `reshape_` or unexpectedly change memory formats ([#161687](https://github.com/pytorch/pytorch/pull/161687))
+
+## XPU
+- Support Intel GPU quantization ops in AOTInductor ([#156572](https://github.com/pytorch/pytorch/pull/156572))
+- Add `device_id` to Intel GPU properties to distinguish iGPUs with identical names ([#156481](https://github.com/pytorch/pytorch/pull/156481))
+
+# Bug Fixes
+## Python Frontend
+- Add option in `torch.utils.cpp_extension.load_inline` to override gencode ([#156850](https://github.com/pytorch/pytorch/pull/156850))
+- Fix `max_width` computation in Tensor printing ([#126859](https://github.com/pytorch/pytorch/pull/126859))
+- Improve `pin_memory` error message on CPU-only systems ([#159994](https://github.com/pytorch/pytorch/pull/159994))
+- Making batching rule for `F.embedding` DTensor-aware ([#162117](https://github.com/pytorch/pytorch/pull/162117))
+
+## Autograd
+- Fix `torch.autograd.Function` memory leak due to `torch.utils.checkpiont` early stopping ([#161171](https://github.com/pytorch/pytorch/pull/161171))
+- Fix `torch.autograd.graph.GradientEdge` for `torch.autograd.Function` ([#160098](https://github.com/pytorch/pytorch/pull/160098))
+- Match 0-dim gradients device type regardless of subclass-ness ([#160165](https://github.com/pytorch/pytorch/pull/160165))
+
+## Distributed
+### c10d
+  - Fix slow init due to repeated dns resolution failure in socket ([#159596](https://github.com/pytorch/pytorch/pull/159596))
+  - Fix `setGroupName` and `setGroupDesc` in `group_split` and `merge_remote_group` ([#159429](https://github.com/pytorch/pytorch/pull/159429))
+  - Fix a bug of distributed 'gather' with noncontiguous tensors on the Gloo backend ([#158903](https://github.com/pytorch/pytorch/pull/158903))
+  - Fix a bug of distributed 'gather' with noncontiguous tensors on the NCCL backend ([#159549](https://github.com/pytorch/pytorch/pull/159549))
+  - Fix data inconsistencies when using `batch_isend_irecv` with 2D tensor views by making P2P tensors dense ([#163719](https://github.com/pytorch/pytorch/pull/163719))
+  - Handle discontiguous `allgather`/`reducescatter` inputs ([#163712](https://github.com/pytorch/pytorch/pull/163712))
+### Device Mesh
+  - Fix the not incorrectly chained each of the strings as iterables ([#160709](https://github.com/pytorch/pytorch/pull/160709))
+### DistributedDataParallel (DDP)
+  - Fix incorrect interaction between `DDPOptimizer` and donated buffers ([#160745](https://github.com/pytorch/pytorch/pull/160745))
+### DTensor
+  - Fix DTensor handling of conjugate bit ([#158030](https://github.com/pytorch/pytorch/pull/158030))
+  - Fix `OpSchema` equality check ([#161231](https://github.com/pytorch/pytorch/pull/161231))
+  - Fix `grouped_mm` strategy for invalid stride cases ([#158245](https://github.com/pytorch/pytorch/pull/158245))
+  - Fix `F.one_hot` in DTensor ([#162307](https://github.com/pytorch/pytorch/pull/162307))
+  - Always disabled `ShardingPropagation` cache if compiling ([#156868](https://github.com/pytorch/pytorch/pull/156868))
+### FullyShardedDataParallel (FSDP)
+  - Fix the bug in FSDP offload `pin_memory` ([#157147](https://github.com/pytorch/pytorch/pull/157147))
+  - Fix to ensure writeback handles `NO_SHARD` correctly by flattening tensors before copying ([#154369](https://github.com/pytorch/pytorch/pull/154369))
+### FullyShardedDataParallel2 (FSDP2)
+  - Fix error message for `fsdp_pre_all_gather` ([#160817](https://github.com/pytorch/pytorch/pull/160817))
+  - Fix the issue with `set_reduce_scatter_divide_factor` errors and `MixedPrecisionPolicy`  ([#155964](https://github.com/pytorch/pytorch/pull/155964))
+### Pipeline Parallelism (PP)
+  - Fix eval step under `no_grad()` ([#159293](https://github.com/pytorch/pytorch/pull/159293))
+  - Fix zero bubble schedules for `eval()` ([#159475](https://github.com/pytorch/pytorch/pull/159475))
+### TensorPipe
+  - Fix `import torch` if compiled without `TensorPipe` ([#159461](https://github.com/pytorch/pytorch/pull/159461))
+### TorchElastic
+  - Fix wrong log file name in the docs of `torch.distributed.elastic.multiprocessing.start_processes()` ([#160396](https://github.com/pytorch/pytorch/pull/160396))
+
+## Linear Algebra Frontend
+- Avoid downcasts for fp16 matmul on the BLAS backend ([#161999](https://github.com/pytorch/pytorch/pull/161999))
+
+## Profiler
+- Fix Linter for Global Annotations flag in Snapshot ([#157858](https://github.com/pytorch/pytorch/pull/157858))
+
+## FX
+- Fix `split_module` with symint ([#160093](https://github.com/pytorch/pytorch/pull/160093))
+- Fix `getattr_recursive` with ModuleList ([#161204](https://github.com/pytorch/pytorch/pull/161204))
+- Skip const folding with symbolic expression ([#161437](https://github.com/pytorch/pytorch/pull/161437))
+- Fix qualified name for methods of `torch.Tensor` ([#162224](https://github.com/pytorch/pytorch/pull/162224))
+
+## Dynamo
+- Fix segfault due to interaction between Dynamo backends and `torch.compiler.reset()` ([#156527](https://github.com/pytorch/pytorch/pull/156527))
+- Fix crash due to bad interaction with recompilations and with blocks in Python 3.11+ ([#162318](https://github.com/pytorch/pytorch/pull/162318))
+
+## torch.nn
+- Fix silent correctness w/ backpropping grads for `FlexAttention` ([#163677](https://github.com/pytorch/pytorch/pull/163677))
+- Fix `return_lse` warning message in `FlexAttention` ([#163578](https://github.com/pytorch/pytorch/pull/163578))
+- Fix `FlexAttention` head broadcast ([#163426](https://github.com/pytorch/pytorch/pull/163426))
+
+## Inductor
+- Fix wrong meta function for `constant_pad_nd` ([#159878](https://github.com/pytorch/pytorch/pull/159878))
+- Fix learnable bias assertion error in Inductor ([#161170](https://github.com/pytorch/pytorch/pull/161170))
+- Fix int64 from `MutationOutput` Buffer ([#162020](https://github.com/pytorch/pytorch/pull/162020))
+- Fix Inductor CUDA sort `NaN` behavior ([#159308](https://github.com/pytorch/pytorch/pull/159308))
+- Fix layout for local buf in outer loop fusion ([#160857](https://github.com/pytorch/pytorch/pull/160857))
+- Fix slice scatter `dtype` consistency ([#160851](https://github.com/pytorch/pytorch/pull/160851))
+- Fix 3d tiled online softmax ([#162341](https://github.com/pytorch/pytorch/pull/162341))
+- Fix unsafe collective reorder past wait in Inductor ([#157489](https://github.com/pytorch/pytorch/pull/157489))
+- Fix `FallbackKernel` alias function to avoid incorrect aliasing for custom ops ([#163227](https://github.com/pytorch/pytorch/pull/163227))
+
+## Ahead-Of-Time Inductor (AOTI)
+- Fix a bug from `load_constants` ([#161887](https://github.com/pytorch/pytorch/pull/161887))
+- Fix wrong propagation of fallback_ops_dict in `gen_aoti_c_shim` ([#159904](https://github.com/pytorch/pytorch/pull/159904))
+- Fix unbacked symint and memory leak in Inductor memory planning ([#159839](https://github.com/pytorch/pytorch/pull/159839))
+- Fix memory leak in AOTI when calling `aoti_torch_as_strided` ([#162118](https://github.com/pytorch/pytorch/pull/162118))
+- Explicitly delete `wait_tensor` returned tensor ([#159502](https://github.com/pytorch/pytorch/pull/159502))
+- Fix memory leak from `all_reduce` ([#159818](https://github.com/pytorch/pytorch/pull/159818))
+
+## Composability
+- Make functionalization ViewMeta serializable with pickle ([#163769](https://github.com/pytorch/pytorch/pull/163769))
+
+## Export
+- Fix bug in constants lifting pass ([#157719](https://github.com/pytorch/pytorch/pull/157719))
+- Fix `from_node` provenance in unlift pass ([#157943](https://github.com/pytorch/pytorch/pull/157943))
+- Fix `NaN` serialization ([#155359](https://github.com/pytorch/pytorch/pull/155359))
+- Fix deserialization for unbacked symbol ranges ([#158681](https://github.com/pytorch/pytorch/pull/158681))
+- Fix runtime assert handling in deserialization ([#159060](https://github.com/pytorch/pytorch/pull/159060))
+- Fix for FQN handling in unflattener ([#159418](https://github.com/pytorch/pytorch/pull/159418))
+- Fix `nn_module_stack` for `assert_tensor_metadata` nodes ([#159625](https://github.com/pytorch/pytorch/pull/159625))
+- Fix usage for `move_to_device_pass` ([#159992](https://github.com/pytorch/pytorch/pull/159992), [#160528](https://github.com/pytorch/pytorch/pull/160528), [#162301](https://github.com/pytorch/pytorch/pull/162301))
+- Avoid name overwrites for aliased exported module parameters ([#160600](https://github.com/pytorch/pytorch/pull/160600))
+- Avoid inling `dynamo.disables` in unflattening ([#161306](https://github.com/pytorch/pytorch/pull/161306))
+- Fix deserialization issue for storage offset ([#162172](https://github.com/pytorch/pytorch/pull/162172))
+- Remove `.contiguous()` when saving weights to raw bytes to preserve original storage size of tensor ([#163587](https://github.com/pytorch/pytorch/pull/163587))
+
+## Quantization
+- Avoid `NaN` in fp8 output of CPU `qlinear` and `qconv` ops ([#160957](https://github.com/pytorch/pytorch/pull/160957))
+- Fix segmentation fault when `choose_qparams_optimized` ([#161966](https://github.com/pytorch/pytorch/pull/161966))
+
+## Foreach
+- `chunk_size` should always be `int64_t` for Foreach functors ([#156872](https://github.com/pytorch/pytorch/pull/156872))
+
+## ONNX
+- Make onnx export SDPA match ATen behavior ([#159973](https://github.com/pytorch/pytorch/pull/159973))
+- Fix `rotary_embedding_23` implementation ([#162865](https://github.com/pytorch/pytorch/pull/162865))
+- Fix export behavior when model has `None` as output ([#160200](https://github.com/pytorch/pytorch/pull/160200))
+- Fix lower opset version support in `dynamo=True` ([#161056](https://github.com/pytorch/pytorch/pull/161056))
+- Fix `index_put_` usage ([#161263](https://github.com/pytorch/pytorch/pull/161263))
+
+## C++ Extensions
+- Fix CPP extension distributed warning for `TORCH_CUDA_ARCH_LIST` to only log when running on non-distributed or on rank 0 ([#162764](https://github.com/pytorch/pytorch/pull/162764))
+
+## C++ Frontend
+- Fix `torch.utils.cpp_extension` parser for clang version 20.1.7+libcxx ([#157666](https://github.com/pytorch/pytorch/pull/157666))
+- Fix `MakeTensor::computeStorageSize()` calculation ([#158690](https://github.com/pytorch/pytorch/pull/158690))
+- Fix static initialization order issue with `AllocatorConfig` ([#159629](https://github.com/pytorch/pytorch/pull/159629))
+
+## Build Frontend
+- Turn on `BUILD_BUNDLEPTXAS=1` to allow compile on newer GPUs([#163988](https://github.com/pytorch/pytorch/pull/163988))
+
+## CUDA
+- Handle uninitialized `torch.backends.cuda.matmul.fp32_precision` ([#161102](https://github.com/pytorch/pytorch/pull/161102))
+- Fix nansum in non-JIT build ([#158633](https://github.com/pytorch/pytorch/pull/158633))
+- Decrease launch bounds of CTCLoss backward for blackwell to avoid crash ([#159522](https://github.com/pytorch/pytorch/pull/159522))
+- Implement workaround for `cudaErrorNotSupported` ([#162412](https://github.com/pytorch/pytorch/pull/162412))
+- Fix missing `__syncthreads` in MultiMarginLoss backward ([#158994](https://github.com/pytorch/pytorch/pull/158994))
+- Roll-back cuDNN frontend upgrade and update Meta registration due to compile issues ([#163104](https://github.com/pytorch/pytorch/pull/163104))
+- Disable cuDNN for 3D convolutions with `kernel size != 1` for cuDNN 9.8+ ([#163581](https://github.com/pytorch/pytorch/pull/163581))
+
+## CPU
+- Add check so non-aarch64 platforms can hit `MKLDNN` path ([#162168](https://github.com/pytorch/pytorch/pull/162168))
+
+## MPS
+- Fix batch norm incorrect gradient ([#156867](https://github.com/pytorch/pytorch/pull/156867))
+- Do not crash if `tensor dim > INT_MAX` ([#158824](https://github.com/pytorch/pytorch/pull/158824))
+- Avoid outputing zeros from `exponential_` for MPS ([#159386](https://github.com/pytorch/pytorch/pull/159386))
+- Fix MPS autocast for `ConvTranspose3d` ([#160345](https://github.com/pytorch/pytorch/pull/160345))
+- Fix MPS `conv3d` autocast bias dtype mismatch ([#160423](https://github.com/pytorch/pytorch/pull/160423))
+- Fix error check for `torch.var` on scalar ([#160889](https://github.com/pytorch/pytorch/pull/160889))
+- Fix `index_add` for complex + int64, int64 input + zerodim index ([#160926](https://github.com/pytorch/pytorch/pull/160926), [#161511](https://github.com/pytorch/pytorch/pull/161511))
+- Fix `constant_pad_nd_mps` bug when pad is empty ([#161149](https://github.com/pytorch/pytorch/pull/161149))
+- Fix `index_select` for `scalar_types` ([#161206](https://github.com/pytorch/pytorch/pull/161206))
+- Fix `index_copy` for scalars and `index_copy` for strided indices ([#161267](https://github.com/pytorch/pytorch/pull/161267), [#161333](https://github.com/pytorch/pytorch/pull/161333))
+- Ensure that tensors are contiguous before using MPS linear kernel ([#161641](https://github.com/pytorch/pytorch/pull/161641))
+- Address `NaN`s if SDPA is called with all values masked from query ([#157727](https://github.com/pytorch/pytorch/pull/157727))
+- Fix invalid formatting ([#158436](https://github.com/pytorch/pytorch/pull/158436))
+- Fix empty input in posneg functions ([#161824](https://github.com/pytorch/pytorch/pull/161824))
+- Migrate round unary op to Metal ([#161712](https://github.com/pytorch/pytorch/pull/161712))
+- Type-promote tensor-iterator common dtype ([#160334](https://github.com/pytorch/pytorch/pull/160334))
+- Fix regression in 2.8.0 for `scaled_dot_product_attention` using MPS ([#163598](https://github.com/pytorch/pytorch/pull/163598))
+- Chunk `fillBuffer` into 4Gb slices to avoid regression on MacOS 26 ([#164108](https://github.com/pytorch/pytorch/pull/164108))
+- Fix latent bug that can result in segfault in CPP extensions ([#164093](https://github.com/pytorch/pytorch/pull/164093))
+
+## ROCm
+- Fix Inductor with cudagraph trees `hip:0` device error ([#161221](https://github.com/pytorch/pytorch/pull/161221))
+- Fix some build failures and support some BLAS calls on Windows ([#161981](https://github.com/pytorch/pytorch/pull/161981))
+- Fix undefined symbol linker error after exposing MIOpen symbols on Windows ([#156479](https://github.com/pytorch/pytorch/pull/156479))
+- Fix finding ROCm/HIP version on Windows ([#156486](https://github.com/pytorch/pytorch/pull/156486))
+- Fix LoadHIP handling of environment variable paths on Windows ([#159080](https://github.com/pytorch/pytorch/pull/159080))
+- Add hipcc compatibility flags to `cpp_extension.py` on Windows ([#159790](https://github.com/pytorch/pytorch/pull/159790))
+- In SDPA via AOTriton, `logsumexp` needs scaling back to natural base ([#156903](https://github.com/pytorch/pytorch/pull/156903))
+- Check stream graph capture status in `memcpy_and_sync` inline function ([#158165](https://github.com/pytorch/pytorch/pull/158165))
+
+## XPU
+- Fix `cpp_extension` compatibility with `intel-deep-learning-essentials-2025.2` ([#161012](https://github.com/pytorch/pytorch/pull/161012))
+
+## JIT
+- Make `ErrorReport::CallStack` thread-safe ([#160386](https://github.com/pytorch/pytorch/pull/160386))
+- Fix `RemoveProfileNodesAndSpecializeTypes` handling for `Tensor?` that is resolved to `None` ([#161538](https://github.com/pytorch/pytorch/pull/161538))
+
+# Performance
+## Optimizer
+- Use `addmm` to improve Newton–Schulz orthogonalization in Muon ([#161379](https://github.com/pytorch/pytorch/pull/161379))
+- Avoid stream sync in SWA `AveragedModel.update_parameters()` ([#157705](https://github.com/pytorch/pytorch/pull/157705))
+
+## Autograd
+- Fix SVD forward-mode AD multiplication priority ([#161027](https://github.com/pytorch/pytorch/pull/161027))
+
+## Dynamo
+- Recursive `dict` tag optimization for faster guard evaluation ([#159183](https://github.com/pytorch/pytorch/pull/159183))
+
+## Inductor
+- Improve performance of A16W4 and A16W8 `GEMM` template ([#159127](https://github.com/pytorch/pytorch/pull/159127)) ([#161148](https://github.com/pytorch/pytorch/pull/161148))
+- More aggressive persistent reduction ([#161055](https://github.com/pytorch/pytorch/pull/161055))
+- Add a few outer dimension reduction cases for LOAF ([#162028](https://github.com/pytorch/pytorch/pull/162028))
+- Fuse two RoPE kernels into a single kernel and improving runtime efficiency ([#161420](https://github.com/pytorch/pytorch/pull/161420))
+
+## Export
+- Caching optimizations for placeholder naming pass ([#158594](https://github.com/pytorch/pytorch/pull/158594))
+- Add Static Dispatch Kernel for `fmod.Scalar` and `scale_gradient` ([#160654](https://github.com/pytorch/pytorch/pull/160654), [#160454](https://github.com/pytorch/pytorch/pull/160454))
+
+## CUDA
+- Use a nonblocking copy to avoid stream synchronization for GPU tensor indexing with CPU mask ([#156384](https://github.com/pytorch/pytorch/pull/156384))
+- Disable cudagraph GCs by default to improve capture performance ([#158649](https://github.com/pytorch/pytorch/pull/158649))
+
+## Release Engineering
+- Upgrade to ROCm 6.4.1 and 6.4.2 patch releases ([#156636](https://github.com/pytorch/pytorch/pull/156636)) ([#158887](https://github.com/pytorch/pytorch/pull/158887)) ([#158886](https://github.com/pytorch/pytorch/pull/158886)) ([#158651](https://github.com/pytorch/pytorch/pull/158651)) ([#159001](https://github.com/pytorch/pytorch/pull/159001))
+- Migrate RPyTorch ROCm CI to MI325 capacity ([#159059](https://github.com/pytorch/pytorch/pull/159059)) ([#159649](https://github.com/pytorch/pytorch/pull/159649)) ([#161184](https://github.com/pytorch/pytorch/pull/161184))
+- Enable B200 PyTorch benchmark testing ([#158011](https://github.com/pytorch/pytorch/pull/158011)) ([#157341](https://github.com/pytorch/pytorch/pull/157341))
+
+## MPS
+- Optimize cummin/cummax metal kernels ([\#156794](https://github.com/pytorch/pytorch/pull/156794))
+- Speedup `torch.full` for 1-byte types ([\#158874](https://github.com/pytorch/pytorch/pull/158874))
+- Speedup `argmax`/`argmin` ([\#159524](https://github.com/pytorch/pytorch/pull/159524))
+- Improve performance of `max_pool3d` ([\#157875](https://github.com/pytorch/pytorch/pull/157875))
+- Avoid calling tensor ops in `max_pool3d` impl ([\#157874](https://github.com/pytorch/pytorch/pull/157874))
+- Move `max_pool2d` to Metal for `stride != 1` ([\#157876](https://github.com/pytorch/pytorch/pull/157876))
+
+## ROCm
+- SDPA now uses AOTriton to 0.11b ([#161754](https://github.com/pytorch/pytorch/pull/161754))
+- `hipblaslt` is used by default on gfx908 for ROCm >= 6.3 ([#159092](https://github.com/pytorch/pytorch/pull/159092))
+- Enable miopen channels last 3d for conv and batchnorm ([#160529](https://github.com/pytorch/pytorch/pull/160529))
+- Remove extra transposes in NHWC convolutions on MIOpen ([#160435](https://github.com/pytorch/pytorch/pull/160435))
+- Remove extra sync in `tensor.item()` ([#158486](https://github.com/pytorch/pytorch/pull/158486))
+- Elementwise and reduction kernel perf improvements ([#159430](https://github.com/pytorch/pytorch/pull/159430), [#159652](https://github.com/pytorch/pytorch/pull/159652), [#160444](https://github.com/pytorch/pytorch/pull/160444), [#160466](https://github.com/pytorch/pytorch/pull/160466), [#161054](https://github.com/pytorch/pytorch/pull/161054), [#161180](https://github.com/pytorch/pytorch/pull/161180), [#161181](https://github.com/pytorch/pytorch/pull/161181))
+- Enable build of `fbgemm_gpu genai` sources for grouped GEMM support ([#160676](https://github.com/pytorch/pytorch/pull/160676))
+
+## XPU
+- Enable tensor memory descriptor Triton template for Intel GPU ([#161600](https://github.com/pytorch/pytorch/pull/161600))
+
+# Documentation
+## Python Frontend
+- Improve documentation for `torch.lobpcg`, `torch.clone`, `torch.matmul`, `torch.max`, `torch.gather`, `torch.Tensor.scatter_`, `torch.empty_like`, `torch.randint`, `torch.mul`, `torch.min`, `torch.max`. `torch.sort`, `torch.full_like`, `torch.histogramdd`, `torch.hamming_window` ([#156139](https://github.com/pytorch/pytorch/pull/156139), [#157007](https://github.com/pytorch/pytorch/pull/157007), [#161424](https://github.com/pytorch/pytorch/pull/161424), [#156153](https://github.com/pytorch/pytorch/pull/156153), [#157929](https://github.com/pytorch/pytorch/pull/157929), [#157920](https://github.com/pytorch/pytorch/pull/157920), [#158050](https://github.com/pytorch/pytorch/pull/158050), [#158731](https://github.com/pytorch/pytorch/pull/158731), [#160312](https://github.com/pytorch/pytorch/pull/160312), [#161539](https://github.com/pytorch/pytorch/pull/161539), [#162051](https://github.com/pytorch/pytorch/pull/162051), [#158275](https://github.com/pytorch/pytorch/pull/158275), [#152682](https://github.com/pytorch/pytorch/pull/152682))
+- Remove torchscript related sections in serialization docs ([#156648](https://github.com/pytorch/pytorch/pull/156648))
+- Fix typo in `torch.set_float32_matmul_precision` docs ([#158191](https://github.com/pytorch/pytorch/pull/158191))
+- Fix docstring for `torch.nn.utils.clip_grads_with_norm_` to reflect clamping behavior ([#158200](https://github.com/pytorch/pytorch/pull/158200))
+- Fix the Doc issue on the description of edge_order in `torch.gradient` ([#159130](https://github.com/pytorch/pytorch/pull/159130))
+- Add `torch.segment_reduce` docs ([#154352](https://github.com/pytorch/pytorch/pull/154352))
+- Add examples to `torch.is_floating_point` and `torch.is_complex` docs ([#161951](https://github.com/pytorch/pytorch/pull/161951))
+## torch.nn
+- Improve description of `padding` for `avg_poolnd` ([#159142](https://github.com/pytorch/pytorch/pull/159142))
+- Improve `CrossEntropyLoss` docs with example of incorrect target specification ([#155649](https://github.com/pytorch/pytorch/pull/155649))
+- Remove redundant dtype conversion in `scaled_dot_product_attention` example ([#161613](https://github.com/pytorch/pytorch/pull/161613))
+
+## Optimizer
+- Document specific optimizer modules APIs e.g., `torch.optim.adam.Adam`, properly ([#158483](https://github.com/pytorch/pytorch/pull/158483), [#158669](https://github.com/pytorch/pytorch/pull/158669), [#160194](https://github.com/pytorch/pytorch/pull/160194))
+- Add note for clarity in Adafactor doc #154862 ([#155248](https://github.com/pytorch/pytorch/pull/155248))
+- Minorly improve `zero_grad` description ([#161239](https://github.com/pytorch/pytorch/pull/161239))
+
+## Autograd
+- Improve `torch.inference_mode` docs and error message ([#161164](https://github.com/pytorch/pytorch/pull/161164))
+
+## Distributed
+### c10d
+  - Documented barrier collective's interaction with `device_id` ([#159389](https://github.com/pytorch/pytorch/pull/159389))
+  - Fix comment to match logic in `distributed_c10d.py` ([#162158](https://github.com/pytorch/pytorch/pull/162158))
+### DTensor
+  - Rewrote doc of `TupleStrategy` ([#158132](https://github.com/pytorch/pytorch/pull/158132))
+  - Documented `redistribute_costs` ([#158495](https://github.com/pytorch/pytorch/pull/158495))
+### FullyShardedDataParallel (FSDP)
+  - Removed FSDP1 developer note ([#158991](https://github.com/pytorch/pytorch/pull/158991))
+
+## Profiler
+- Update PT2 Profiler Torch-Compiled Region Image ([#158066](https://github.com/pytorch/pytorch/pull/158066))
+- Fix Experimental Config Documentatation([#156586](https://github.com/pytorch/pytorch/pull/156586))
+- Update README ([#159816](https://github.com/pytorch/pytorch/pull/159816))
+
+## FX
+- Fix typos in `torch/` (`torch/fx/`) ([#156604](https://github.com/pytorch/pytorch/pull/156604))
+- Add typing ([#158450](https://github.com/pytorch/pytorch/pull/158450))
+- Fix typo in FX interpreter class docs ([#162055](https://github.com/pytorch/pytorch/pull/162055))
+- Remove allow-untyped-defs from `torch/fx/experimental/migrate_gradual_types/util.py` ([#157236](https://github.com/pytorch/pytorch/pull/157236))
+
+## Inductor
+- Add documentation for CUDAGraph partition ([#159450](https://github.com/pytorch/pytorch/pull/159450))
+
+## Export
+- Update docs around draft export, dynamism, and PT2 Archive ([#157750](https://github.com/pytorch/pytorch/pull/157750))
+
+## ONNX
+- Update export docstring ([#162622](https://github.com/pytorch/pytorch/pull/162622))
+- Delete deprecated tutorial page link ([#157310](https://github.com/pytorch/pytorch/pull/157310))
+- Filter out torchscript sentences ([#158850](https://github.com/pytorch/pytorch/pull/158850))
+- Fix doc typo for `symbolic_multi_out` ([#160702](https://github.com/pytorch/pytorch/pull/160702))
+- `onnx.md` to simplify deprecated entities ([#159312](https://github.com/pytorch/pytorch/pull/159312))
+- Update export docstring and set `fallback=False` by default ([#162622](https://github.com/pytorch/pytorch/pull/162622), [#162726](https://github.com/pytorch/pytorch/pull/162726))
+- Fix typo in error message: summit -> submit ([#162587](https://github.com/pytorch/pytorch/pull/162587))
+
+## Release Engineering
+- Add decorator to create deprecation warnings ([#155127](https://github.com/pytorch/pytorch/pull/155127))
+- Add runnable code examples to export documentation ([#158506](https://github.com/pytorch/pytorch/pull/158506))
+- Add developer notes for integrating new backends into PyTorch ([#158644](https://github.com/pytorch/pytorch/pull/158644))
+
+## XPU
+- Update supported OS to Windows 11 & Ubuntu 24.04/25.04 for Intel client GPU ([#161699](https://github.com/pytorch/pytorch/pull/161699))
+
+# Security
+## Python Frontend
+- Don't store flamegraph to tmp folder ([#157374](https://github.com/pytorch/pytorch/pull/157374))
+
+# Developers
+## Python Frontend
+- Better sample inputs for addmm OpInfo ([#160234](https://github.com/pytorch/pytorch/pull/160234))
+
+## Distributed
+### c10d
+  - Add `waitcounter` for watchdog and heartbeat monitoring thread ([#157480](https://github.com/pytorch/pytorch/pull/157480))
+  - Made `torch.distributed.breakpoint` set a long timeout ([#158481](https://github.com/pytorch/pytorch/pull/158481))
+  - Add `check_rng_sync` util ([#160283](https://github.com/pytorch/pytorch/pull/160283))
+  - Add `FlightRecorder` support for `ProcessGroupXCCL` ([#158568](https://github.com/pytorch/pytorch/pull/158568))
+  - Add `early_stop` kwarg to `torch.utils.checkpoint` ([#160781](https://github.com/pytorch/pytorch/pull/160781))
+### DTensor
+  - Wrap sharding prop error with contextual exception ([#161574](https://github.com/pytorch/pytorch/pull/161574))
+  - Add check if tracing for sharding propagation to handle un-hashable keys in DTensor ([#160798](https://github.com/pytorch/pytorch/pull/160798))
+### Device Mesh
+  - Add error when users try to slice non contiguous flattened dim submesh ([#157523](https://github.com/pytorch/pytorch/pull/157523))
+  - Make the repr shorter when debug ENV not set ([#158822](https://github.com/pytorch/pytorch/pull/158822))
+### ShardedTensor
+  - Make error message descriptive in ShardedTensor creation (#150627) ([#159423](https://github.com/pytorch/pytorch/pull/159423))
+### Pipeline Parallelism (PP)
+  - Add profiling to schedule execution ([#160753](https://github.com/pytorch/pytorch/pull/160753))
+
+## FX
+- Consolidate stack trace in Tracer ([#156257](https://github.com/pytorch/pytorch/pull/156257), [#157302](https://github.com/pytorch/pytorch/pull/157302), [#158266](https://github.com/pytorch/pytorch/pull/158266))
+- Separate provenance tracking to different levels ([#160383](https://github.com/pytorch/pytorch/pull/160383), [#158399](https://github.com/pytorch/pytorch/pull/158399), [#158796](https://github.com/pytorch/pytorch/pull/158796), [#159484](https://github.com/pytorch/pytorch/pull/159484))
+- Fix `register_foward_pre_hook not supported on ScriptModule` error ([#156904](https://github.com/pytorch/pytorch/pull/156904))
+- Add `__eq__` function to NodeSource ([#158170](https://github.com/pytorch/pytorch/pull/158170))
+- Add `__hash__` function to NodeSource ([#158322](https://github.com/pytorch/pytorch/pull/158322))
+- Cache dict and string rep for better perf in NodeSource ([#158372](https://github.com/pytorch/pytorch/pull/158372))
+- Recover node source from dict (#158373) ([#158473](https://github.com/pytorch/pytorch/pull/158473))
+- Include error stacktrace and graph module in `tlparse` error ([#158469](https://github.com/pytorch/pytorch/pull/158469))
+- Add `expanded_def` option for FX printing, render descriptor, update tests ([#158708](https://github.com/pytorch/pytorch/pull/158708))
+- Remove `co_lnotab` in favor of `co_linetable` ([#159227](https://github.com/pytorch/pytorch/pull/159227))
+- Remove duplicate imports ([#161685](https://github.com/pytorch/pytorch/pull/161685))
+- Include Output tensor metadata for `CompiledFxGraph` ([#159311](https://github.com/pytorch/pytorch/pull/159311))
+
+## Inductor
+- Deprecate `allow_tf32` in `tl.dot(..., allow_tf32=...)`, use `tl.dot(..., input_precision=...)` ([#160711](https://github.com/pytorch/pytorch/pull/160711))
+- Log autotune choices and benchmark result to scuba/chrome trace ([#159496](https://github.com/pytorch/pytorch/pull/159496))
+- Add TLParse artifact for logging runtime of collective and compute ops ([#159730](https://github.com/pytorch/pytorch/pull/159730))
+- Call `jit_post_compile_hook` within Inductor Triton Kernel compile path ([#161443](https://github.com/pytorch/pytorch/pull/161443))
+- Prune configs that require more shared memory than the hardware limit ([#161996](https://github.com/pytorch/pytorch/pull/161996))
+- Runtime estimations using nccl estimator on mm only benchmark mode ([#161405](https://github.com/pytorch/pytorch/pull/161405))
+- Don't use `torch.backends.cuda.matmul.allow_tf32` in Inductor cache key ([#159480](https://github.com/pytorch/pytorch/pull/159480))
+
+## Ahead-Of-Time Inductor (AOTI)
+- Better error message when no .so/cpp files are found ([#156863](https://github.com/pytorch/pytorch/pull/156863))
+- Clean up old APIs in AOTI c shim ([#158400](https://github.com/pytorch/pytorch/pull/158400))
+- Add Inductor provenance mapping for cpp extern kernel (#161656) ([#162069](https://github.com/pytorch/pytorch/pull/162069))
+- Print out error msg when nvcc compiler fails ([#157203](https://github.com/pytorch/pytorch/pull/157203))
+- Add kernel information JSON generation for AOTI packages ([#160540](https://github.com/pytorch/pytorch/pull/160540))
+
+## Composability
+- Stop suggesting to use `guard_size_oblivious` on data dependent errors ([#160510](https://github.com/pytorch/pytorch/pull/160510))
+- Avoid unnecessary slices resulting in data-dependent errors ([#157528](https://github.com/pytorch/pytorch/pull/157528))
+
+## Quantization
+- Revamp dtype documentation ([#156087](https://github.com/pytorch/pytorch/pull/156087))
+- Use new type statement to fix public API of types ([#158487](https://github.com/pytorch/pytorch/pull/158487))
+
+## Dataloader Frontend
+- Add `torch.utils.data` samplers benchmark script ([#156974](https://github.com/pytorch/pytorch/pull/156974))
+- Add `torch.utils.data.Dataloader` benchmark script ([#159432](https://github.com/pytorch/pytorch/pull/159432))
+
+## Release Engineering
+- Replace `setup.py develop` with `pip install -e` for development builds ([#155998](https://github.com/pytorch/pytorch/pull/155998)) ([#156027](https://github.com/pytorch/pytorch/pull/156027)) ([#156710](https://github.com/pytorch/pytorch/pull/156710))  ([#156709](https://github.com/pytorch/pytorch/pull/156709))
+
+## XPU
+- Upgrade Intel GPU software stack package to intel-deep-learning-essentials-2025.2 ([#158733](https://github.com/pytorch/pytorch/pull/158733))
diff --git a/2.9.0/miscategorized.md b/2.9.0/miscategorized.md
index 460c0b4..ba3572c 100644
--- a/2.9.0/miscategorized.md
+++ b/2.9.0/miscategorized.md
@@ -6,17 +6,4 @@ Handle any commits that actually do belong to your domain and remove them from t
 
 ## Untopiced
 
-
-StableABI:
-- Add pad and narrow to torch/csrc/stable/ops.h ([#159328](https://github.com/pytorch/pytorch/pull/159328))
-- Add getCurrentDeviceIndex to torch::stable::accelerator ([#160453](https://github.com/pytorch/pytorch/pull/160453))
-- Add new_zeros dtype variant to the shim and as a stable op ([#161597](https://github.com/pytorch/pytorch/pull/161597))
-- Update torch::stable::Tensor() default constructor ([#159507](https://github.com/pytorch/pytorch/pull/159507))
-- Add beginnings of torch::stable::accelerator ([#159679](https://github.com/pytorch/pytorch/pull/159679))
-- Port amax to stable ABI ([#160214](https://github.com/pytorch/pytorch/pull/160214))
-- Add new_empty (with dtype argument only) to torch::stable ([#159508](https://github.com/pytorch/pytorch/pull/159508))
-- Enable generating generic c_shim that doesn't bypass dispatcher ([#158974](https://github.com/pytorch/pytorch/pull/158974))
-- Cut a version of TORCH_ERROR_CODE_CHECK in headeronly from AOTI ([#159604](https://github.com/pytorch/pytorch/pull/159604))
-
-
 ## not user facing