updateé

.gitattributes

@@ -45,3 +45,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 torch-ext/sage_attention/_sage_attention_6bzaszjaujzoe.abi3.so filter=lfs diff=lfs merge=lfs -text
 torch-ext/sage_attention/_sage_attention_ag736k23icjku.abi3.so filter=lfs diff=lfs merge=lfs -text
 torch-ext/sage_attention/_sage_attention_akb65l7w7moi6.abi3.so filter=lfs diff=lfs merge=lfs -text
+*.so filter=lfs diff=lfs merge=lfs -text

.venv/bin/python

@@ -0,0 +1 @@
+python3.13

.venv/bin/python3

@@ -0,0 +1 @@
+python3.13

.venv/bin/python3.13

@@ -0,0 +1 @@
+/nix/store/iyff8129iampdw13nlfqalzhxy8y1hi9-python3-3.13.6/bin/python3.13

.venv/lib/python3.13/site-packages/hf_xet-1.1.10.dist-info/INSTALLER

@@ -1 +0,0 @@
-pip

.venv/lib/python3.13/site-packages/hf_xet-1.1.10.dist-info/METADATA

@@ -1,83 +0,0 @@
-Metadata-Version: 2.4
-Name: hf-xet
-Version: 1.1.10
-Classifier: License :: OSI Approved :: Apache Software License
-Classifier: Programming Language :: Rust
-Classifier: Programming Language :: Python :: Implementation :: CPython
-Classifier: Programming Language :: Python :: Implementation :: PyPy
-Classifier: Programming Language :: Python :: 3
-Classifier: Programming Language :: Python :: 3 :: Only
-Classifier: Programming Language :: Python :: 3.8
-Classifier: Programming Language :: Python :: 3.9
-Classifier: Programming Language :: Python :: 3.10
-Classifier: Programming Language :: Python :: 3.11
-Classifier: Programming Language :: Python :: 3.12
-Classifier: Programming Language :: Python :: 3.13
-Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
-Requires-Dist: pytest ; extra == 'tests'
-Provides-Extra: tests
-License-File: LICENSE
-Summary: Fast transfer of large files with the Hugging Face Hub.
-Maintainer-email: Rajat Arya <[email protected]>, Jared Sulzdorf <[email protected]>, Di Xiao <[email protected]>, Assaf Vayner <[email protected]>, Hoyt Koepke <[email protected]>
-License-Expression: Apache-2.0
-Requires-Python: >=3.8
-Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
-Project-URL: Homepage, https://github.com/huggingface/xet-core
-Project-URL: Documentation, https://huggingface.co/docs/hub/en/storage-backends#using-xet-storage
-Project-URL: Issues, https://github.com/huggingface/xet-core/issues
-Project-URL: Repository, https://github.com/huggingface/xet-core.git
-
-<!---
-Copyright 2024 The HuggingFace Team. All rights reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-<p align="center">
-    <a href="https://github.com/huggingface/xet-core/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/github/license/huggingface/xet-core.svg?color=blue"></a>
-    <a href="https://github.com/huggingface/xet-core/releases"><img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/xet-core.svg"></a>
-    <a href="https://github.com/huggingface/xet-core/blob/main/CODE_OF_CONDUCT.md"><img alt="Contributor Covenant" src="https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg"></a>
-</p>
-
-<h3 align="center">
-  <p>🤗 hf-xet - xet client tech, used in <a target="_blank" href="https://github.com/huggingface/huggingface_hub/">huggingface_hub</a></p>
-</h3>
-
-## Welcome
-
-`hf-xet` enables `huggingface_hub` to utilize xet storage for uploading and downloading to HF Hub. Xet storage provides chunk-based deduplication, efficient storage/retrieval with local disk caching, and backwards compatibility with Git LFS. This library is not meant to be used directly, and is instead intended to be used from [huggingface_hub](https://pypi.org/project/huggingface-hub).
-
-## Key features
-
-♻ **chunk-based deduplication implementation**: avoid transferring and storing chunks that are shared across binary files (models, datasets, etc).
-
-🤗 **Python bindings**: bindings for [huggingface_hub](https://github.com/huggingface/huggingface_hub/) package.
-
-↔ **network communications**: concurrent communication to HF Hub Xet backend services (CAS).
-
-🔖 **local disk caching**: chunk-based cache that sits alongside the existing [huggingface_hub disk cache](https://huggingface.co/docs/huggingface_hub/guides/manage-cache).
-
-## Installation
-
-Install the `hf_xet` package with [pip](https://pypi.org/project/hf-xet/):
-
-```bash
-pip install hf_xet
-```
-
-## Quick Start
-
-`hf_xet` is not intended to be run independently as it is expected to be used from `huggingface_hub`, so to get started with `huggingface_hub` check out the documentation [here]("https://hf.co/docs/huggingface_hub").
-
-## Contributions (feature requests, bugs, etc.) are encouraged & appreciated 💙💚💛💜🧡❤️
-
-Please join us in making hf-xet better. We value everyone's contributions. Code is not the only way to help. Answering questions, helping each other, improving documentation, filing issues all help immensely. If you are interested in contributing (please do!), check out the [contribution guide](https://github.com/huggingface/xet-core/blob/main/CONTRIBUTING.md) for this repository.

.venv/lib/python3.13/site-packages/hf_xet-1.1.10.dist-info/RECORD

@@ -1,8 +0,0 @@
-hf_xet-1.1.10.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
-hf_xet-1.1.10.dist-info/METADATA,sha256=uFNyfUe0we3oHWG-SPUCBDAWYkHCT1JBVQaRZg4_D5Q,4670
-hf_xet-1.1.10.dist-info/RECORD,,
-hf_xet-1.1.10.dist-info/WHEEL,sha256=i6A8fOeKDbiLWJKJ4CSZ_oMsfL41B4i_w3i76Xh_k5M,127
-hf_xet-1.1.10.dist-info/licenses/LICENSE,sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ,11357
-hf_xet/__init__.py,sha256=E8UDdyQ8glZ_nve9hHEf22bPang8-RKx4VuApXYeQUo,107
-hf_xet/__pycache__/__init__.cpython-313.pyc,,
-hf_xet/hf_xet.abi3.so,sha256=WBX7yFb3btpsQ1Qx6U_PQU29USHaK8Vb7sRpYkW9BFs,7942656

.venv/lib/python3.13/site-packages/hf_xet-1.1.10.dist-info/WHEEL

@@ -1,4 +0,0 @@
-Wheel-Version: 1.0
-Generator: maturin (1.9.4)
-Root-Is-Purelib: false
-Tag: cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64

.venv/lib/python3.13/site-packages/hf_xet-1.1.10.dist-info/licenses/LICENSE

@@ -1,201 +0,0 @@
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-
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.venv/lib/python3.13/site-packages/hf_xet/__init__.py

@@ -1,5 +0,0 @@
-from .hf_xet import *
-
-__doc__ = hf_xet.__doc__
-if hasattr(hf_xet, "__all__"):
-    __all__ = hf_xet.__all__

CMakeLists.txt

@@ -97,26 +97,25 @@ set(TORCH_sage_attention_SRC
 list(APPEND SRC "${TORCH_sage_attention_SRC}")
 
 
-set(_qattn_SRC
-  "sage_attention/cp_async.cuh"
-"sage_attention/dispatch_utils.h"
-"sage_attention/math.cuh"
-"sage_attention/mma.cuh"
-"sage_attention/numeric_conversion.cuh"
-"sage_attention/permuted_smem.cuh"
-"sage_attention/reduction_utils.cuh"
-"sage_attention/wgmma.cuh"
-"sage_attention/utils.cuh"
+set(_qattn_sm80_SRC
+  "sage_attention/qattn/qk_int_sv_f16_cuda_sm80.cu"
+"sage_attention/qattn/attn_cuda_sm80.h"
+"sage_attention/qattn/attn_utils.cuh"
 )
 
+# TODO: check if CLion support this:
+# https://youtrack.jetbrains.com/issue/CPP-16510/CLion-does-not-handle-per-file-include-directories
+set_source_files_properties(
+  ${_qattn_sm80_SRC}
+  PROPERTIES INCLUDE_DIRECTORIES "${CMAKE_SOURCE_DIR}/.")
 
 if(GPU_LANG STREQUAL "CUDA")
-      cuda_archs_loose_intersection(_qattn_ARCHS "9.0" "${CUDA_ARCHS}")
-    message(STATUS "Capabilities for kernel _qattn: ${_qattn_ARCHS}")
-  set_gencode_flags_for_srcs(SRCS "${_qattn_SRC}" CUDA_ARCHS "${_qattn_ARCHS}")
+      cuda_archs_loose_intersection(_qattn_sm80_ARCHS "8.0" "${CUDA_ARCHS}")
+    message(STATUS "Capabilities for kernel _qattn_sm80: ${_qattn_sm80_ARCHS}")
+  set_gencode_flags_for_srcs(SRCS "${_qattn_sm80_SRC}" CUDA_ARCHS "${_qattn_sm80_ARCHS}")
 
   
-  foreach(_KERNEL_SRC ${_qattn_SRC})
+  foreach(_KERNEL_SRC ${_qattn_sm80_SRC})
     if(_KERNEL_SRC MATCHES ".*\\.cu$")
       set_property(
         SOURCE ${_KERNEL_SRC}
@@ -126,7 +125,7 @@ if(GPU_LANG STREQUAL "CUDA")
     endif()
   endforeach()
   
-    foreach(_KERNEL_SRC ${_qattn_SRC})
+    foreach(_KERNEL_SRC ${_qattn_sm80_SRC})
     set_property(
       SOURCE ${_KERNEL_SRC}
       APPEND PROPERTY
@@ -134,37 +133,30 @@ if(GPU_LANG STREQUAL "CUDA")
     )
   endforeach()
   
-  list(APPEND SRC "${_qattn_SRC}")
+  list(APPEND SRC "${_qattn_sm80_SRC}")
 endif()
 
 
 
-set(_qattn_sm89_SRC
-  "sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f32_attn_inst_buf.cu"
-"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f16_attn_inst_buf.cu"
-"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f32_attn.cu"
-"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f32_fuse_v_scale_fuse_v_mean_attn.cu"
-"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f32_fuse_v_scale_attn.cu"
-"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f32_fuse_v_scale_attn_inst_buf.cu"
-"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f16_fuse_v_scale_attn_inst_buf.cu"
-"sage_attention/qattn/attn_cuda_sm89.h"
-"sage_attention/qattn/qk_int_sv_f8_cuda_sm89.cuh"
+set(_qattn_sm90_SRC
+  "sage_attention/qattn/qk_int_sv_f8_cuda_sm90.cu"
+"sage_attention/qattn/attn_cuda_sm90.h"
 "sage_attention/qattn/attn_utils.cuh"
 )
 
 # TODO: check if CLion support this:
 # https://youtrack.jetbrains.com/issue/CPP-16510/CLion-does-not-handle-per-file-include-directories
 set_source_files_properties(
-  ${_qattn_sm89_SRC}
+  ${_qattn_sm90_SRC}
   PROPERTIES INCLUDE_DIRECTORIES "${CMAKE_SOURCE_DIR}/.")
 
 if(GPU_LANG STREQUAL "CUDA")
-      cuda_archs_loose_intersection(_qattn_sm89_ARCHS "8.9" "${CUDA_ARCHS}")
-    message(STATUS "Capabilities for kernel _qattn_sm89: ${_qattn_sm89_ARCHS}")
-  set_gencode_flags_for_srcs(SRCS "${_qattn_sm89_SRC}" CUDA_ARCHS "${_qattn_sm89_ARCHS}")
+      cuda_archs_loose_intersection(_qattn_sm90_ARCHS "9.0a" "${CUDA_ARCHS}")
+    message(STATUS "Capabilities for kernel _qattn_sm90: ${_qattn_sm90_ARCHS}")
+  set_gencode_flags_for_srcs(SRCS "${_qattn_sm90_SRC}" CUDA_ARCHS "${_qattn_sm90_ARCHS}")
 
   
-  foreach(_KERNEL_SRC ${_qattn_sm89_SRC})
+  foreach(_KERNEL_SRC ${_qattn_sm90_SRC})
     if(_KERNEL_SRC MATCHES ".*\\.cu$")
       set_property(
         SOURCE ${_KERNEL_SRC}
@@ -174,7 +166,7 @@ if(GPU_LANG STREQUAL "CUDA")
     endif()
   endforeach()
   
-    foreach(_KERNEL_SRC ${_qattn_sm89_SRC})
+    foreach(_KERNEL_SRC ${_qattn_sm90_SRC})
     set_property(
       SOURCE ${_KERNEL_SRC}
       APPEND PROPERTY
@@ -182,29 +174,37 @@ if(GPU_LANG STREQUAL "CUDA")
     )
   endforeach()
   
-  list(APPEND SRC "${_qattn_sm89_SRC}")
+  list(APPEND SRC "${_qattn_sm90_SRC}")
 endif()
 
 
 
-set(_fused_SRC
-  "sage_attention/fused/fused.cu"
-"sage_attention/fused/fused.h"
+set(_qattn_sm89_SRC
+  "sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f32_attn_inst_buf.cu"
+"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f16_attn_inst_buf.cu"
+"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f32_attn.cu"
+"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f32_fuse_v_scale_fuse_v_mean_attn.cu"
+"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f32_fuse_v_scale_attn.cu"
+"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f32_fuse_v_scale_attn_inst_buf.cu"
+"sage_attention/qattn/sm89_qk_int8_sv_f8_accum_f16_fuse_v_scale_attn_inst_buf.cu"
+"sage_attention/qattn/attn_cuda_sm89.h"
+"sage_attention/qattn/qk_int_sv_f8_cuda_sm89.cuh"
+"sage_attention/qattn/attn_utils.cuh"
 )
 
 # TODO: check if CLion support this:
 # https://youtrack.jetbrains.com/issue/CPP-16510/CLion-does-not-handle-per-file-include-directories
 set_source_files_properties(
-  ${_fused_SRC}
+  ${_qattn_sm89_SRC}
   PROPERTIES INCLUDE_DIRECTORIES "${CMAKE_SOURCE_DIR}/.")
 
 if(GPU_LANG STREQUAL "CUDA")
-      cuda_archs_loose_intersection(_fused_ARCHS "9.0" "${CUDA_ARCHS}")
-    message(STATUS "Capabilities for kernel _fused: ${_fused_ARCHS}")
-  set_gencode_flags_for_srcs(SRCS "${_fused_SRC}" CUDA_ARCHS "${_fused_ARCHS}")
+      cuda_archs_loose_intersection(_qattn_sm89_ARCHS "8.9" "${CUDA_ARCHS}")
+    message(STATUS "Capabilities for kernel _qattn_sm89: ${_qattn_sm89_ARCHS}")
+  set_gencode_flags_for_srcs(SRCS "${_qattn_sm89_SRC}" CUDA_ARCHS "${_qattn_sm89_ARCHS}")
 
   
-  foreach(_KERNEL_SRC ${_fused_SRC})
+  foreach(_KERNEL_SRC ${_qattn_sm89_SRC})
     if(_KERNEL_SRC MATCHES ".*\\.cu$")
       set_property(
         SOURCE ${_KERNEL_SRC}
@@ -214,7 +214,7 @@ if(GPU_LANG STREQUAL "CUDA")
     endif()
   endforeach()
   
-    foreach(_KERNEL_SRC ${_fused_SRC})
+    foreach(_KERNEL_SRC ${_qattn_sm89_SRC})
     set_property(
       SOURCE ${_KERNEL_SRC}
       APPEND PROPERTY
@@ -222,30 +222,29 @@ if(GPU_LANG STREQUAL "CUDA")
     )
   endforeach()
   
-  list(APPEND SRC "${_fused_SRC}")
+  list(APPEND SRC "${_qattn_sm89_SRC}")
 endif()
 
 
 
-set(_qattn_sm80_SRC
-  "sage_attention/qattn/qk_int_sv_f16_cuda_sm80.cu"
-"sage_attention/qattn/attn_cuda_sm80.h"
-"sage_attention/qattn/attn_utils.cuh"
+set(_fused_SRC
+  "sage_attention/fused/fused.cu"
+"sage_attention/fused/fused.h"
 )
 
 # TODO: check if CLion support this:
 # https://youtrack.jetbrains.com/issue/CPP-16510/CLion-does-not-handle-per-file-include-directories
 set_source_files_properties(
-  ${_qattn_sm80_SRC}
+  ${_fused_SRC}
   PROPERTIES INCLUDE_DIRECTORIES "${CMAKE_SOURCE_DIR}/.")
 
 if(GPU_LANG STREQUAL "CUDA")
-      cuda_archs_loose_intersection(_qattn_sm80_ARCHS "8.0" "${CUDA_ARCHS}")
-    message(STATUS "Capabilities for kernel _qattn_sm80: ${_qattn_sm80_ARCHS}")
-  set_gencode_flags_for_srcs(SRCS "${_qattn_sm80_SRC}" CUDA_ARCHS "${_qattn_sm80_ARCHS}")
+      cuda_archs_loose_intersection(_fused_ARCHS "9.0" "${CUDA_ARCHS}")
+    message(STATUS "Capabilities for kernel _fused: ${_fused_ARCHS}")
+  set_gencode_flags_for_srcs(SRCS "${_fused_SRC}" CUDA_ARCHS "${_fused_ARCHS}")
 
   
-  foreach(_KERNEL_SRC ${_qattn_sm80_SRC})
+  foreach(_KERNEL_SRC ${_fused_SRC})
     if(_KERNEL_SRC MATCHES ".*\\.cu$")
       set_property(
         SOURCE ${_KERNEL_SRC}
@@ -255,7 +254,7 @@ if(GPU_LANG STREQUAL "CUDA")
     endif()
   endforeach()
   
-    foreach(_KERNEL_SRC ${_qattn_sm80_SRC})
+    foreach(_KERNEL_SRC ${_fused_SRC})
     set_property(
       SOURCE ${_KERNEL_SRC}
       APPEND PROPERTY
@@ -263,30 +262,31 @@ if(GPU_LANG STREQUAL "CUDA")
     )
   endforeach()
   
-  list(APPEND SRC "${_qattn_sm80_SRC}")
+  list(APPEND SRC "${_fused_SRC}")
 endif()
 
 
 
-set(_qattn_sm90_SRC
-  "sage_attention/qattn/qk_int_sv_f8_cuda_sm90.cu"
-"sage_attention/qattn/attn_cuda_sm90.h"
-"sage_attention/qattn/attn_utils.cuh"
+set(_qattn_SRC
+  "sage_attention/cp_async.cuh"
+"sage_attention/dispatch_utils.h"
+"sage_attention/math.cuh"
+"sage_attention/mma.cuh"
+"sage_attention/numeric_conversion.cuh"
+"sage_attention/permuted_smem.cuh"
+"sage_attention/reduction_utils.cuh"
+"sage_attention/wgmma.cuh"
+"sage_attention/utils.cuh"
 )
 
-# TODO: check if CLion support this:
-# https://youtrack.jetbrains.com/issue/CPP-16510/CLion-does-not-handle-per-file-include-directories
-set_source_files_properties(
-  ${_qattn_sm90_SRC}
-  PROPERTIES INCLUDE_DIRECTORIES "${CMAKE_SOURCE_DIR}/.")
 
 if(GPU_LANG STREQUAL "CUDA")
-      cuda_archs_loose_intersection(_qattn_sm90_ARCHS "9.0a" "${CUDA_ARCHS}")
-    message(STATUS "Capabilities for kernel _qattn_sm90: ${_qattn_sm90_ARCHS}")
-  set_gencode_flags_for_srcs(SRCS "${_qattn_sm90_SRC}" CUDA_ARCHS "${_qattn_sm90_ARCHS}")
+      cuda_archs_loose_intersection(_qattn_ARCHS "9.0" "${CUDA_ARCHS}")
+    message(STATUS "Capabilities for kernel _qattn: ${_qattn_ARCHS}")
+  set_gencode_flags_for_srcs(SRCS "${_qattn_SRC}" CUDA_ARCHS "${_qattn_ARCHS}")
 
   
-  foreach(_KERNEL_SRC ${_qattn_sm90_SRC})
+  foreach(_KERNEL_SRC ${_qattn_SRC})
     if(_KERNEL_SRC MATCHES ".*\\.cu$")
       set_property(
         SOURCE ${_KERNEL_SRC}
@@ -296,7 +296,7 @@ if(GPU_LANG STREQUAL "CUDA")
     endif()
   endforeach()
   
-    foreach(_KERNEL_SRC ${_qattn_sm90_SRC})
+    foreach(_KERNEL_SRC ${_qattn_SRC})
     set_property(
       SOURCE ${_KERNEL_SRC}
       APPEND PROPERTY
@@ -304,13 +304,13 @@ if(GPU_LANG STREQUAL "CUDA")
     )
   endforeach()
   
-  list(APPEND SRC "${_qattn_sm90_SRC}")
+  list(APPEND SRC "${_qattn_SRC}")
 endif()
 
 
 define_gpu_extension_target(
-  _sage_attention_ag736k23icjku
-  DESTINATION _sage_attention_ag736k23icjku
+  _sage_attention_57cb7ec_dirty
+  DESTINATION _sage_attention_57cb7ec_dirty
   LANGUAGE ${GPU_LANG}
   SOURCES ${SRC}
   COMPILE_FLAGS ${GPU_FLAGS}
@@ -319,5 +319,5 @@ define_gpu_extension_target(
   USE_SABI 3
   WITH_SOABI)
 
-target_link_options(_sage_attention_ag736k23icjku PRIVATE -static-libstdc++)
+target_link_options(_sage_attention_57cb7ec_dirty PRIVATE -static-libstdc++)
 

cmake/utils.cmake

@@ -536,7 +536,7 @@ function (define_gpu_extension_target GPU_MOD_NAME)
   # Don't use `TORCH_LIBRARIES` for CUDA since it pulls in a bunch of
   # dependencies that are not necessary and may not be installed.
   if (GPU_LANGUAGE STREQUAL "CUDA")
-    target_link_libraries(${GPU_MOD_NAME} PRIVATE CUDA::cudart CUDA::cuda_driver)
+    target_link_libraries(${GPU_MOD_NAME} PRIVATE CUDA::cudart)
   else()
     target_link_libraries(${GPU_MOD_NAME} PRIVATE ${TORCH_LIBRARIES})
   endif()

sage_attention/qattn/qk_int_sv_f8_cuda_sm90.cu

@@ -19,6 +19,7 @@
 #include <cuda_bf16.h>
 #include <cuda_fp8.h>
 #include <torch/torch.h>
+#include <ATen/DynamicLibrary.h>
 
 #include "../wgmma.cuh"
 #include "../math.cuh"
@@ -26,6 +27,11 @@
 
 #include "attn_utils.cuh"
 
+at::DynamicLibrary& getCUDALibrary() {
+    static at::DynamicLibrary lib("libcuda.so.1");
+    return lib;
+}
+
 template <int BlockMajorSize, int BlockMinorSize, bool swizzle=true, CUtensorMapL2promotion_enum promotion_mode=CU_TENSOR_MAP_L2_PROMOTION_NONE, typename T>
 CUtensorMap create_tensor_map_4D(T* gmem_ptr, int d1, int d2, int d3, int d4, int stride1, int stride2, int stride3) {
     constexpr int smem_stride = BlockMinorSize * sizeof(T);
@@ -39,7 +45,10 @@ CUtensorMap create_tensor_map_4D(T* gmem_ptr, int d1, int d2, int d3, int d4, in
     uint32_t smem_box_shape[5] = {uint32_t(BlockMinorSize), uint32_t(BlockMajorSize), 1, 1, 1};
     uint32_t smem_box_stride[5] = {1, 1, 1, 1, 1};
 
-    CUresult result = cuTensorMapEncodeTiled(
+    auto fn = reinterpret_cast<decltype(&cuTensorMapEncodeTiled)>(getCUDALibrary().sym(__func__));
+    if (!fn)
+      throw std::runtime_error("Can't get cuTensorMapEncodeTiled");
+    CUresult result = fn(
         &tma_map, (sizeof(T) == 2) ? CU_TENSOR_MAP_DATA_TYPE_BFLOAT16 : CU_TENSOR_MAP_DATA_TYPE_UINT8, 4, gmem_address, gmem_prob_shape,
         gmem_prob_stride, smem_box_shape, smem_box_stride, CU_TENSOR_MAP_INTERLEAVE_NONE,
         (swizzle == false) ? CU_TENSOR_MAP_SWIZZLE_NONE : (smem_stride == 128) ? CU_TENSOR_MAP_SWIZZLE_128B : (smem_stride == 64) ? CU_TENSOR_MAP_SWIZZLE_64B : CU_TENSOR_MAP_SWIZZLE_32B, 

setup.py

@@ -128,7 +128,7 @@ setup(
     name="sage_attention",
     # The version is just a stub, it's not used by the final build artefact.
     version="0.1.0",
-    ext_modules=[CMakeExtension("sage_attention._sage_attention_ag736k23icjku")],
+    ext_modules=[CMakeExtension("sage_attention._sage_attention_57cb7ec_dirty")],
     cmdclass={"build_ext": CMakeBuild},
     packages=find_packages(where="torch-ext", include=["sage_attention*"]),
     package_dir={"": "torch-ext"},

torch-ext/sage_attention/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _sage_attention_ag736k23icjku
-ops = torch.ops._sage_attention_ag736k23icjku
+from . import _sage_attention_57cb7ec_dirty
+ops = torch.ops._sage_attention_57cb7ec_dirty
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_sage_attention_ag736k23icjku::{op_name}"
+    return f"_sage_attention_57cb7ec_dirty::{op_name}"

.venv/lib/python3.13/site-packages/hf_xet/hf_xet.abi3.so → torch-ext/sage_attention/_sage_attention_57cb7ec_dirty.abi3.so

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5815fbc856f76eda6c435431e94fcf414dbd5121da2bc55beec4696245bd045b
-size 7942656
+oid sha256:2ed533e57758ba109f361945c736223026260e2f2155c1c2e1fc6e45c7fac3c8
+size 25534800

torch-ext/sage_attention/_sage_attention_6bzaszjaujzoe.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:67d854647fc7eb60807562b946beceee8d6586f33c6db85cc35c43166b491964
-size 25534184

torch-ext/sage_attention/_sage_attention_ag736k23icjku.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:035d639a88423f3bc721c59ec70636c1c9a66757ad2d2a188444ed2cde3b4c73
-size 25534488

torch-ext/sage_attention/_sage_attention_akb65l7w7moi6.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:68727de7945a07b8bffa8178d5b16ed49125d287a9225b7ddfa327e52db24a45
-size 25533424