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Author SHA1 Message Date
Laith Sakka
1aef88c72d Avoid DDE in narrow with unbacked start (#166361) 
Slice knows how to handle unbacked start, we do not need to offset start before calling slice, we can leave it for slice.
The only edge case is when start<0 and start+length ==0 in that case slice and narrow would deviate,
for that case we shall pass dim_size instead of start+length

Pull Request resolved: https://github.com/pytorch/pytorch/pull/166361
Approved by: https://github.com/aorenste
 2025-11-01 07:10:23 +00:00
Yuanyuan Chen
f0745ddb11 Replace c10::call_once with static initialization (#166381) 
This PR replaces c10::call_once calls with static initialization when possible. C++11 semantics guarantees that static initialization is atomic. Static initialization also has lower cost than using c10::call_once.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/166381
Approved by: https://github.com/malfet
 2025-11-01 07:09:40 +00:00
Yuanyuan Chen
e2dc32f4ba Replace decltype(auto) with auto (#166537) 
This PR replaces `decltype(auto)` with `auto` for C++ return type deduction and simplifies some templates.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/166537
Approved by: https://github.com/Skylion007
 2025-11-01 00:30:23 +00:00
Kurt Mohler
1e3600b528 [MPS] Move logaddexp/logaddexp2 to Metal and support complex (#166670) 
NOTE: Complex inputs are only supported in `logaddexp`. Since `logaddexp2` does not support complex inputs for CPU, it is not enabled for MPS in this PR either.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/166670
Approved by: https://github.com/malfet
 2025-10-31 16:15:02 +00:00
Yu, Guangye
0ec0549823 Introduce a new API torch.xpu.get_per_process_memory_fraction (#165511) 
# Motivation
Aligned with other backends, this PR introduces a new API torch.xpu.get_per_process_memory_fraction to allow user to retrieve the allowed memory fraction per a single process.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165511
Approved by: https://github.com/EikanWang, https://github.com/ezyang
ghstack dependencies: #165508, #165509, #165510
 2025-10-30 19:30:09 +00:00
linhaifeng
369f2d6951 [3/N] fix typo in other folders (#166606) 
fix typo in other folders

#166374
#166126

_typos.toml
```bash
[files]
extend-exclude = ["tools/linter/dictionary.txt"]
[default.extend-words]
nd = "nd"
arange = "arange"
Nd = "Nd"
GLOBALs = "GLOBALs"
hte = "hte"
iy = "iy"
PN = "PN"
Dout = "Dout"
optin = "optin"
gam = "gam"
PTD = "PTD"
Sur = "Sur"
nin = "nin"
tme = "tme"
inpt = "inpt"
mis = "mis"
Raison = "Raison"
ouput = "ouput"
nto = "nto"
Onwer = "Onwer"
callibrate = "callibrate"
ser = "ser"
Metdata = "Metdata"
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/166606
Approved by: https://github.com/ezyang
 2025-10-30 10:30:40 +00:00
thenumberouscode
94eaeb9cb8 [Conv1d] Check overflow before we compute padding size. (#162363) 
Fixes https://github.com/pytorch/pytorch/issues/161877
also fixes https://github.com/pytorch/pytorch/issues/161875

Pull Request resolved: https://github.com/pytorch/pytorch/pull/162363
Approved by: https://github.com/jbschlosser
 2025-10-29 03:27:20 +00:00
Yu, Guangye
753d9bd806 Introduce a new API torch.xpu.set_per_process_memory_fraction (#165510) 
# Motivation
Aligned with other backends, this PR introduces a new API `torch.xpu.set_per_process_memory_fraction` to allow user to customize the allowed memory per a single process.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165510
Approved by: https://github.com/EikanWang, https://github.com/ezyang
ghstack dependencies: #165508, #165509
 2025-10-29 03:24:52 +00:00
Nikita Shulga
d049ed2cb1 [BE] Fix metal compilation warnings (#166315) 
- Fixes `s/#pragma onces/#pragma once` typoe

All methods in the headers must be inline, otherwise one gets barrage of following warnings
```
/Users/malfet/git/pytorch/pytorch/c10/metal/utils.h:337:7: warning: unused function 'conj<half __attribute__((ext_vector_type(2)))>' [-Wunused-function]
half2 conj(half2 a) {
      ^
/Users/malfet/git/pytorch/pytorch/c10/metal/utils.h:342:8: warning: unused function 'conj<float __attribute__((ext_vector_type(2)))>' [-Wunused-function]
float2 conj(float2 a) {
       ^
2 warnings generated.
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/166315
Approved by: https://github.com/seemethere, https://github.com/atalman
 2025-10-27 20:17:10 +00:00
Kurt Mohler
c9b49e506e [MPS] Add linalg.householder_product for MPS (#166090) 
Fixes #166089
Pull Request resolved: https://github.com/pytorch/pytorch/pull/166090
Approved by: https://github.com/malfet
 2025-10-24 21:13:56 +00:00
Eddie Yan
e64a814ae7 [CUDA] Add experimental green context support for SM carveout (#159104) 
Low-level PyTorch APIs should be usable/stable enough at this point but we might move the underlying driver API usage a bit from here...

Built on top of @drisspg 's branch

Pull Request resolved: https://github.com/pytorch/pytorch/pull/159104
Approved by: https://github.com/ngimel, https://github.com/malfet, https://github.com/kwen2501

Co-authored-by: drisspg <drisspguessous@gmail.com>
Co-authored-by: Nikita Shulga <2453524+malfet@users.noreply.github.com>
 2025-10-22 21:38:52 +00:00
Pearu Peterson
d01f15152c Move toUnderlying to headeronly (#165694) 
As in the title. Required in upper PRs of this ghstack.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165694
Approved by: https://github.com/janeyx99
 2025-10-22 05:31:16 +00:00
Pearu Peterson
4fae6968b1 Move toString(ScalarType) and ScalarType ostream operator to headeronly (#164405) (#166018) 
This PR is created to replace the reverted PR https://github.com/pytorch/pytorch/pull/164405
Pull Request resolved: https://github.com/pytorch/pytorch/pull/166018
Approved by: https://github.com/janeyx99
 2025-10-22 05:16:58 +00:00
Jeff Daily
2fde10d914 [ROCm] fix test_allocator_backend (#166035) 
Fixes #165872.

Forward fix PR #165298. hipify was causing some symbols to be replaced.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/166035
Approved by: https://github.com/jeffdaily

Co-authored-by: Jeff Daily <jeff.daily@amd.com>
 2025-10-22 03:46:23 +00:00
Yu, Guangye
8904a5a7c9 Move allocation size config to AllocatorConfig for cross-allocator sharing (#159553) 
# Motivation
Make CUDA and XPU share the same config and code. And allow the other backends to reuse them.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/159553
Approved by: https://github.com/albanD
ghstack dependencies: #160067
 2025-10-22 01:48:56 +00:00
Yuanyuan Chen
35153d0846 Simplify c10::guts::apply (#164566) 
There is only one call site of `c10::guts::apply` that can be replaced by `:std::apply` except for ROCm. This PR therefore simplifies the implementation of `c10::guts::apply`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164566
Approved by: https://github.com/Aidyn-A, https://github.com/albanD
 2025-10-22 00:47:43 +00:00
KarhouTam
12aac12b8d [Code Clean] Replace std::runtime_error with TORCH_CHECK (#165209) 
Including:
1. `aten/src/ATen/core`
2. `c10/core`

Fixes part of #148114

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165209
Approved by: https://github.com/FFFrog, https://github.com/albanD
 2025-10-22 00:05:22 +00:00
Gufan Yin
e6ba4d0725 Back out "Do not decompose in functionalization/proxy tensor if autograd wouldn't have decomposed (#164939)" (#165910) 
Summary:
Original commit changeset: d6d62d0c96dd

Original Phabricator Diff: D84468451 and D84613184

D84468451 caused CUDA OutOfMemoryError in model.

Test Plan:
D84468451 was found through bisect.  Also double checked on recent trunk 9866939225248c2adc307be7a804b26db0b9b555: f815887517

With this diff that backs out D84468451 and D84613184 : f816114560

Differential Revision: D85025378

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165910
Approved by: https://github.com/clee2000
 2025-10-21 16:36:38 +00:00
Yu, Guangye
0bff65503c Move hardware_destructive_interference_size to c10/core/alignment.h (#160067) 
# Motivation
Move `hardware_destructive_interference_size` to `c10/core/alignment.h`, which gives a chance to reuse it across different accelerators.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/160067
Approved by: https://github.com/Skylion007, https://github.com/EikanWang
 2025-10-21 14:39:46 +00:00
Yuanyuan Chen
99c8640b5d [1/N] Change C-style casts to static_cast or reinterpret_cast (#165750) 
This series of changes try to cover C style casts into C++ alternatives.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165750
Approved by: https://github.com/Skylion007
 2025-10-20 23:27:13 +00:00
PyTorch MergeBot
ca7360e996 Revert "Move toString(ScalarType) and ScalarType ostream operator to headeronly (#164405)" 
This reverts commit ca8bd5dbed.

Reverted https://github.com/pytorch/pytorch/pull/164405 on behalf of https://github.com/facebook-github-bot due to Diff reverted internally ([comment](https://github.com/pytorch/pytorch/pull/164354#issuecomment-3423132083))
 2025-10-20 17:48:08 +00:00
PyTorch MergeBot
69a4bfe8bb Revert "Refactor out headeronly ArrayRef (#164991)" 
This reverts commit 3806e9767b.

Reverted https://github.com/pytorch/pytorch/pull/164991 on behalf of https://github.com/clee2000 due to breaking internal tests D84961075 ([comment](https://github.com/pytorch/pytorch/pull/164991#issuecomment-3423058017))
 2025-10-20 17:26:42 +00:00
PyTorch MergeBot
ab82456c16 Revert "[1/N] Change C-style casts to static_cast or reinterpret_cast (#165750)" 
This reverts commit e1e8491b31.

Reverted https://github.com/pytorch/pytorch/pull/165750 on behalf of https://github.com/pytorch-auto-revert due to Reverted automatically by pytorch's autorevert, to avoid this behaviour add the tag autorevert: disable ([comment](https://github.com/pytorch/pytorch/pull/165750#issuecomment-3422413890))
 2025-10-20 14:51:58 +00:00
Yuanyuan Chen
e1e8491b31 [1/N] Change C-style casts to static_cast or reinterpret_cast (#165750) 
This series of changes try to cover C style casts into C++ alternatives.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165750
Approved by: https://github.com/Skylion007
 2025-10-20 04:36:19 +00:00
Yu, Guangye
1b121d636e Fix AllocatorConfig parse roundup division bug (#165304) 
* #165288
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165304
Approved by: https://github.com/albanD
ghstack dependencies: #165288, #165289, #165291, #165298
 2025-10-19 15:34:44 +00:00
Yu, Guangye
1ba808dd97 Refine CUDA BackendStaticInitializer for allocator select (#165298) 
* #165288
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165298
Approved by: https://github.com/albanD
ghstack dependencies: #165288, #165289, #165291
 2025-10-19 15:34:44 +00:00
Yu, Guangye
a1114beed2 Deprecate overlapped functions in CUDAAllocatorConfig (#165289) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165289
Approved by: https://github.com/albanD
ghstack dependencies: #165288
 2025-10-19 15:34:26 +00:00
Yu, Guangye
4888ed440e Refine Allocator Config error message friendly (#165288) 
* __->__ #165288
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165288
Approved by: https://github.com/albanD
 2025-10-19 15:34:17 +00:00
Isalia20
ad67170c8b [MPS] sparse matmuls (#165232) 
Implements matmuls for sparse tensors. With this commit most of the core sparse operations should be implemented. Fixes:
https://github.com/pytorch/pytorch/issues/156540
https://github.com/pytorch/pytorch/issues/129842

Should be merged after:
https://github.com/pytorch/pytorch/pull/165102

To compare MPS and CPU, you can use this script:
```python
import torch
import time
import matplotlib.pyplot as plt

B, I, J, K = 8, 20000, 20000, 20000
num_iterations = 500

nnz_values = [10, 50, 100, 200, 500, 1000, 2000, 5000, 10000, 20000, 100000]
speedups = []

for nnz in nnz_values:
    indices = torch.stack([
        torch.randint(0, B, (nnz,)),
        torch.randint(0, I, (nnz,)),
        torch.randint(0, J, (nnz,)),
    ])
    values = torch.rand(nnz)

    sparse = torch.sparse_coo_tensor(indices, values, size=(B, I, J), device="mps").coalesce()
    dense = torch.randn(B, J, 200, device="mps")

    t1 = time.time()
    for _ in range(num_iterations):
        result = torch.bmm(sparse, dense)
    torch.mps.synchronize()
    t2 = time.time()
    mps_time = (t2 - t1) / num_iterations

    sparse_cpu = sparse.cpu()
    dense_cpu = dense.cpu()
    t1 = time.time()
    for _ in range(num_iterations):
        result_cpu = torch.bmm(sparse_cpu, dense_cpu)
    t2 = time.time()
    cpu_time = (t2 - t1) / num_iterations

    speedup = cpu_time / mps_time
    speedups.append(speedup)
    print(f"nnz={nnz}: MPS={mps_time:.6f}s, CPU={cpu_time:.6f}s, Speedup={speedup:.2f}x")

plt.figure(figsize=(10, 6))
plt.plot(nnz_values, speedups, marker='o', linewidth=2, markersize=8)
plt.xlabel('Number of Non-Zero Elements (nnz)', fontsize=12)
plt.ylabel('Speedup (CPU time / MPS time)', fontsize=12)
plt.title('MPS vs CPU Speedup for Sparse-Dense BMM', fontsize=14)
plt.grid(True, alpha=0.3)
plt.axhline(y=1, color='r', linestyle='--', alpha=0.5)
plt.xscale('log')
plt.tight_layout()
plt.show()
```

## Tested on M1 Pro
<img width="1000" height="600" alt="Figure_1" src="https://github.com/user-attachments/assets/4a2402ec-3dc4-402d-8196-a0426906ca3d" />

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165232
Approved by: https://github.com/malfet
 2025-10-18 09:04:42 +00:00
Yuanyuan Chen
0f0b4bf029 [1/N] Remove unused header inclusion (#165763) 
This PR removes unused header inclusion in C++ files.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165763
Approved by: https://github.com/Skylion007
 2025-10-18 05:23:11 +00:00
Shivam Raikundalia
a25a649e70 [Mem Snapshot] Add Metadata Field (#165490) 
Summary:
The implementation adds the ability to:

Set custom metadata strings that will be attached to all subsequent allocations
Clear or change the metadata at any point
View the metadata in memory snapshots via _dump_snapshot()

Test Plan: Added test in test_cuda.py and check manually in snapshot to see that metadata was added.

Differential Revision: D84654933

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165490
Approved by: https://github.com/yushangdi
 2025-10-17 23:46:02 +00:00
Jane Xu
3806e9767b Refactor out headeronly ArrayRef (#164991) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164991
Approved by: https://github.com/swolchok
 2025-10-17 18:32:39 +00:00
Yu, Guangye
b44fb14906 Remove unused parameter when query extension attribute (#165623) 
# Motivation
This code is no longer needed since SYCL compiler 2025.0. We are now using compiler 2025.2 (two tool uplifts later), so it can be safely removed.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165623
Approved by: https://github.com/EikanWang
ghstack dependencies: #165622
 2025-10-17 08:16:13 +00:00
Yu, Guangye
51348c0219 Give a friendly message for older Intel GPU (#165622) 
# Motivation
Notify the user if the GPU is older than officially supported. This provides a friendly warning that the GPU may work, but the experience could be unstable.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165622
Approved by: https://github.com/EikanWang
 2025-10-17 08:16:13 +00:00
PyTorch MergeBot
11e2084308 Revert "[Mem Snapshot] Add Metadata Field (#165490)" 
This reverts commit 5b3ea75895.

Reverted https://github.com/pytorch/pytorch/pull/165490 on behalf of https://github.com/pytorch-auto-revert due to Reverted automatically by pytorch's autorevert, to avoid this behaviour add the tag autorevert: disable ([comment](https://github.com/pytorch/pytorch/pull/165490#issuecomment-3413491091))
 2025-10-17 02:01:53 +00:00
Shivam Raikundalia
5b3ea75895 [Mem Snapshot] Add Metadata Field (#165490) 
Summary:
The implementation adds the ability to:

Set custom metadata strings that will be attached to all subsequent allocations
Clear or change the metadata at any point
View the metadata in memory snapshots via _dump_snapshot()

Test Plan: Added test in test_cuda.py and check manually in snapshot to see that metadata was added.

Differential Revision: D84654933

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165490
Approved by: https://github.com/yushangdi
 2025-10-16 22:54:27 +00:00
Yu, Guangye
219fb6aafc Refactor CUDAAllocatorConfig using ConfigTokenizer (#165281) 
* #165129
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165281
Approved by: https://github.com/albanD
ghstack dependencies: #165129, #165131, #165135, #165136
 2025-10-16 15:26:50 +00:00
Yu, Guangye
515b5ff539 Remove unused code in CUDAAllocatorConfig (#165136) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165136
Approved by: https://github.com/Skylion007
ghstack dependencies: #165129, #165131, #165135
 2025-10-16 15:26:50 +00:00
Yu, Guangye
608a6d4a26 Reuse AcceleratorAllocatorConfig in CUDAAllocatorConfig (#165135) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165135
Approved by: https://github.com/Skylion007
ghstack dependencies: #165129, #165131
 2025-10-16 15:26:40 +00:00
Yu, Guangye
03e5dbb26e Register CUDAAllocatorConfig to AcceleratorAllocatorConfig (#165131) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165131
Approved by: https://github.com/Skylion007
ghstack dependencies: #165129
 2025-10-16 15:26:28 +00:00
Yu, Guangye
7ee45f7503 Restore AcceleratorAllocatorConfig to avoid potential regression (#165129) 
# Motivation
This PR aims to restore `AcceleratorAllocatorConfig` to avoid the potential regression mentioned in https://github.com/pytorch/pytorch/pull/160666#issue-3323270375
These code change would be reverted in the following PR https://github.com/pytorch/pytorch/pull/165304
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165129
Approved by: https://github.com/albanD
 2025-10-16 15:26:17 +00:00
Yu, Guangye
d0c32971b4 Refine XPU allocator message when OOM (#165509) 
# Motivation
Provide more information and align with other backends to enhance the user experience.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165509
Approved by: https://github.com/EikanWang
ghstack dependencies: #165508
 2025-10-16 05:47:49 +00:00
Yu, Guangye
66b75693ae Reuse kLargeBuffer in XPUCachingAllocator (#165508) 
# Motivation
Reuse the shared code.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165508
Approved by: https://github.com/EikanWang
 2025-10-16 04:12:52 +00:00
Pearu Peterson
ca8bd5dbed Move toString(ScalarType) and ScalarType ostream operator to headeronly (#164405) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164405
Approved by: https://github.com/Skylion007, https://github.com/janeyx99
ghstack dependencies: #164350, #164354
 2025-10-16 00:55:43 +00:00
Pearu Peterson
48064acf37 Move AT_FORALL_... macros and ScalarTypeToCPPTypeT to headeronly (#164350) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/164350
Approved by: https://github.com/janeyx99
 2025-10-16 00:55:42 +00:00
Yuanyuan Chen
36871622f1 [2/N] Mark unused parameters in C++ code (#165121) 
This is follow-up of #164912 to mark unused C++ parameters to improve code readability.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165121
Approved by: https://github.com/Skylion007
 2025-10-15 03:04:39 +00:00
Lakshay Garg
496adf9f9c Replace insert with std::rotate_copy for RingBuffer (#165348) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165348
Approved by: https://github.com/eqy, https://github.com/Skylion007
 2025-10-14 05:11:28 +00:00
Colin Peppler
37d57ac9cb Use sym_eq in _check_rms_norm_inputs_symint (#165112) 
Summary:
### Problem
ArrayRef's `equals()`does elementwise quality using `==` operator. This can cause a DDE for unbacked symints since `==`  operator calls `guard_bool`.
```
// SymInt.h
bool operator==(const SymInt& o) const {
  return sym_eq(o).guard_bool(__FILE__, __LINE__);
}
```

### Solution
Adds `sym_equals()` to do elementwise equality for `SymIntArrayRef`. Use this instead of `equals()` for `SymIntArrayRef`.

Reviewed By: guangy10, pianpwk, muchulee8

Differential Revision: D84168401

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165112
Approved by: https://github.com/Skylion007
 2025-10-14 00:06:24 +00:00
PyTorch MergeBot
955cd7060b Revert "Update round size with 1 division behavior (#162203)" 
This reverts commit 12d2ef557f.

Reverted https://github.com/pytorch/pytorch/pull/162203 on behalf of https://github.com/izaitsevfb due to Diff reverted internally ([comment](https://github.com/pytorch/pytorch/pull/162203#issuecomment-3398622898))
 2025-10-13 18:32:37 +00:00
Ma, Jing1
59ad8f1ac6 [XPU] Enhance XPUGeneratorImpl functionality to support XPUGraph (#163332) 
As this [XPUGraph RFC](https://github.com/pytorch/pytorch/issues/162143) descripted. This PR enhances `XPUGeneratorImpl` to support XPUGraph.
In this PR, we add `XPUGerneratorState` and `PhiloxXpuState`. Which makes XPUGraph update philox state during graph capture and replay correctly

XPUGraph PR submission plan:

- [ ] 1, Enhance XPUGenerator functionality. Add XPUGeneratorState and philoxState
- [ ] 2, implemenet XPUGraph capture_begin/capture_end/instantiate functionality
- [ ] 3, implemenet XPUGraph replay/debug_dump/reset functionality
- [ ] 4, python APIs: is_current_stream_capturing/graph_pool_handle/graph
- [ ] 5, python APIs: make_graphed_callables

Pull Request resolved: https://github.com/pytorch/pytorch/pull/163332
Approved by: https://github.com/gujinghui, https://github.com/EikanWang, https://github.com/albanD
 2025-10-13 02:10:41 +00:00