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update pt commit #15082

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1bd5ea9
update pt commit
Gasoonjia Oct 13, 2025
f0b01dc
solve c10 sync
Gasoonjia Oct 13, 2025
2300eaf
reformat macro.h
Gasoonjia Oct 14, 2025
8bcdd54
update commit number
Gasoonjia Oct 14, 2025
56fb60e
Merge branch 'main' into sync-pt-commit
Gasoonjia Oct 14, 2025
b5d9a41
Merge branch 'main' into sync-pt-commit
Gasoonjia Oct 14, 2025
a728ea5
pin bump
Gasoonjia Oct 14, 2025
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2 changes: 1 addition & 1 deletion .ci/docker/ci_commit_pins/pytorch.txt
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Original file line number Diff line number Diff line change
@@ -1 +1 @@
53a2908a10f414a2f85caa06703a26a40e873869
f1efb7246610084485fff4f28172bb820caf7b01
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It has to be other hash

608792153f42254d2d2b5a87d524807a0c2724f1

https://hud.pytorch.org/pytorch/pytorch/commit/f1efb7246610084485fff4f28172bb820caf7b01

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@Gasoonjia Gasoonjia Oct 14, 2025 •
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i think mine is correct

pytorch/pytorch@6087921 pointing to the last commit covered by nightly build, not the nightly build itself.

pytorch/pytorch@f1efb72 is actually the nightly release itself

23 changes: 1 addition & 22 deletions install_requirements.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,33 +12,12 @@

from install_utils import determine_torch_url, is_intel_mac_os, python_is_compatible

from torch_pin import NIGHTLY_VERSION, TORCH_VERSION
from torch_pin import NIGHTLY_VERSION, SUPPORTED_CUDA_VERSIONS, TORCH_VERSION

# The pip repository that hosts nightly torch packages.
# This will be dynamically set based on CUDA availability and CUDA backend enabled/disabled.
TORCH_NIGHTLY_URL_BASE = "https://download.pytorch.org/whl/nightly"

# Supported CUDA versions - modify this to add/remove supported versions
# Format: tuple of (major, minor) version numbers
SUPPORTED_CUDA_VERSIONS = (
(12, 6),
(12, 8),
(13, 0),
)

# Since ExecuTorch often uses main-branch features of pytorch, only the nightly
# pip versions will have the required features.
#
# NOTE: If a newly-fetched version of the executorch repo changes the value of
# NIGHTLY_VERSION, you should re-run this script to install the necessary
# package versions.
#
# NOTE: If you're changing, make the corresponding change in .ci/docker/ci_commit_pins/pytorch.txt
# by picking the hash from the same date in https://hud.pytorch.org/hud/pytorch/pytorch/nightly/
#
# NOTE: If you're changing, make the corresponding supported CUDA versions in
# SUPPORTED_CUDA_VERSIONS above if needed.


def install_requirements(use_pytorch_nightly):
# Skip pip install on Intel macOS if using nightly.
Expand Down
42 changes: 42 additions & 0 deletions runtime/core/portable_type/c10/torch/headeronly/macros/Macros.h
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Original file line number Diff line number Diff line change
Expand Up @@ -359,6 +359,7 @@ static inline int C10_WARP_SIZE_INTERNAL() {
// Those platforms do not support assert()
#define CUDA_KERNEL_ASSERT(cond)
#define CUDA_KERNEL_ASSERT_MSG(cond, msg)
#define CUDA_KERNEL_ASSERT_PRINTF(cond, msg, ...)
#define SYCL_KERNEL_ASSERT(cond)
#elif defined(_MSC_VER)
#if defined(NDEBUG)
Expand Down Expand Up @@ -396,6 +397,26 @@ __host__ __device__
static_cast<unsigned>(__LINE__)), \
0); \
}
#define CUDA_KERNEL_ASSERT_PRINTF(cond, msg, ...) \
if (C10_UNLIKELY(!(cond))) { \
(void)(printf( \
"[CUDA_KERNEL_ASSERT] " __FILE__ ":" C10_STRINGIZE( \
__LINE__) ": %s: block: [%d,%d,%d], thread: [%d,%d,%d]: " \
"Assertion failed: `" #cond "`: " msg "\n", \
__func__, \
blockIdx.x, \
blockIdx.y, \
blockIdx.z, \
threadIdx.x, \
threadIdx.y, \
threadIdx.z, \
##__VA_ARGS__)); \
(void)(_wassert( \
_CRT_WIDE(#cond), \
_CRT_WIDE(__FILE__), \
static_cast<unsigned>(__LINE__)), \
0); \
}
#define SYCL_KERNEL_ASSERT(cond) \
if (C10_UNLIKELY(!(cond))) { \
(void)(_wassert( \
Expand Down Expand Up @@ -455,6 +476,10 @@ __host__ __device__
if C10_UNLIKELY (!(cond)) { \
abort(); \
}
#define CUDA_KERNEL_ASSERT_PRINTF(cond, msg, ...) \
if C10_UNLIKELY (!(cond)) { \
abort(); \
}
#define SYCL_KERNEL_ASSERT(cond) \
if C10_UNLIKELY (!(cond)) { \
abort(); \
Expand All @@ -470,6 +495,23 @@ __host__ __device__
__assert_fail( \
msg, __FILE__, static_cast<unsigned int>(__LINE__), __func__); \
}
#define CUDA_KERNEL_ASSERT_PRINTF(cond, msg, ...) \
if (C10_UNLIKELY(!(cond))) { \
printf( \
"[CUDA_KERNEL_ASSERT] " __FILE__ ":" C10_STRINGIZE( \
__LINE__) ": %s: block: [%d,%d,%d], thread: [%d,%d,%d]: " \
"Assertion failed: `" #cond "`: " msg "\n", \
__func__, \
blockIdx.x, \
blockIdx.y, \
blockIdx.z, \
threadIdx.x, \
threadIdx.y, \
threadIdx.z, \
##__VA_ARGS__); \
__assert_fail( \
#cond, __FILE__, static_cast<unsigned int>(__LINE__), __func__); \
}
#define SYCL_KERNEL_ASSERT(cond) \
if (C10_UNLIKELY(!(cond))) { \
__assert_fail( \
Expand Down
19 changes: 18 additions & 1 deletion torch_pin.py
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Original file line number Diff line number Diff line change
@@ -1,2 +1,19 @@
# Since ExecuTorch often uses main-branch features of pytorch, only the nightly
# pip versions will have the required features.
#
# NOTE: If a newly-fetched version of the executorch repo changes the value of
# NIGHTLY_VERSION, you should re-run install_executorch.sh script to install the necessary
# package versions.
#
# NOTE: If you're changing, make the corresponding change in .ci/docker/ci_commit_pins/pytorch.txt
# by picking the hash from the same date in https://hud.pytorch.org/hud/pytorch/pytorch/nightly/
#
# NOTE: If you're changing, make the corresponding supported CUDA versions in
# SUPPORTED_CUDA_VERSIONS above if needed.
TORCH_VERSION = "2.10.0"
NIGHTLY_VERSION = "dev20251003"
NIGHTLY_VERSION = "dev20251008"
SUPPORTED_CUDA_VERSIONS = (
(12, 6),
(12, 8),
(13, 0),
)
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