Promote latest kernel artifacts to main

README.md

@@ -1,9 +0,0 @@
-# flashrt/sageattention2-blackwell
-
-This repository is a compatibility mirror for older `kernels` clients
-that resolve repositories through the default Hugging Face model repo API.
-
-Canonical Kernel Hub repo: https://huggingface.co/kernels/flashrt/sageattention2-blackwell
-
-Do not edit this mirror by hand. It is generated from the Kernel Hub
-`vN` branches and contains the same `build/**` artifacts.

build/torch212-cxx11-cu130-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _sageattention2_blackwell_cuda_5a0fd7c
-ops = torch.ops._sageattention2_blackwell_cuda_5a0fd7c
+from . import _sageattention2_blackwell_cuda_5542189
+ops = torch.ops._sageattention2_blackwell_cuda_5542189
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_sageattention2_blackwell_cuda_5a0fd7c::{op_name}"
+    return f"_sageattention2_blackwell_cuda_5542189::{op_name}"

build/{torch213-cxx11-cu130-x86_64-linux/_sageattention2_blackwell_cuda_5a0fd7c.abi3.so → torch212-cxx11-cu130-x86_64-linux/_sageattention2_blackwell_cuda_5542189.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:10b95b1b6a442136aa59173636c65658d01b9c748a53dcf1aea56741eee39c9f
-size 1955000
+oid sha256:890ba58ff538a10e9f653567cc73980549c19e2359ec294f12b626485af1ed70
+size 1942872

build/torch212-cxx11-cu130-x86_64-linux/metadata.json

@@ -1,9 +1,10 @@
 {
   "name": "sageattention2-blackwell",
-  "id": "_sageattention2_blackwell_cuda_5a0fd7c",
+  "id": "_sageattention2_blackwell_cuda_5542189",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
+  "kernel-depends": [],
   "backend": {
     "type": "cuda",
     "archs": [
@@ -15,19 +16,18 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "8RunKSRFou+DKdhegD8QAZyIVl14pLifEwNYbIa72jY=",
-      "_ops.py": "aw3gYxBOMlkvKm5pwWx+yzY8pCIs/lgXZV5fqYHr0IU=",
-      "_sageattention2_blackwell_cuda_5a0fd7c.abi3.so": "QBhrNyqwcmwVxtOvaTEuCZq1oVBDR2QbvpeG5C7YjNU=",
-      "sageattention2_blackwell/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
+      "_ops.py": "pDaNx2t5PnKVEVqTSd3ensPGiyrHpyDIzxhNCbNH9FY=",
+      "_sageattention2_blackwell_cuda_5542189.abi3.so": "iQulj/U4oQ6fZTVnzHOYBUnBniNZ7ClPErYmSFrx7XA="
     }
   },
   "provenance": {
     "kernel-builder": {
       "version": "0.17.0-dev0",
-      "sha": "b39ca23f1b36383df00b27b3ffe1276cd5dbea85",
+      "sha": "3a5c09d941a19f582fe551d038dc2b3bc6b0a03d",
       "dirty": false
     },
     "kernel": {
-      "sha": "5a0fd7c325e3521f288901f25624000c5f597d95",
+      "sha": "5542189ca3e6593cabfd117a3b1becf0661c60d3",
       "dirty": false
     }
   }

build/torch212-cxx11-cu130-x86_64-linux/sageattention2_blackwell/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import importlib.util
-import sys
-from pathlib import Path
-from types import ModuleType
-
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch212-cxx11-cu132-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _sageattention2_blackwell_cuda_5a0fd7c
-ops = torch.ops._sageattention2_blackwell_cuda_5a0fd7c
+from . import _sageattention2_blackwell_cuda_5542189
+ops = torch.ops._sageattention2_blackwell_cuda_5542189
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_sageattention2_blackwell_cuda_5a0fd7c::{op_name}"
+    return f"_sageattention2_blackwell_cuda_5542189::{op_name}"

build/{torch212-cxx11-cu130-x86_64-linux/_sageattention2_blackwell_cuda_5a0fd7c.abi3.so → torch212-cxx11-cu132-x86_64-linux/_sageattention2_blackwell_cuda_5542189.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:40186b372ab0726c15c6d3af69312e099ab5a1504347641bbe9786e42ed88cd5
-size 1955160
+oid sha256:3e0bf409f82574c40d33c63b20950f5b898f6ecaad8a8f8e2cf7db638afd804e
+size 1799616

build/torch212-cxx11-cu132-x86_64-linux/metadata.json

@@ -1,9 +1,10 @@
 {
   "name": "sageattention2-blackwell",
-  "id": "_sageattention2_blackwell_cuda_5a0fd7c",
+  "id": "_sageattention2_blackwell_cuda_5542189",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
+  "kernel-depends": [],
   "backend": {
     "type": "cuda",
     "archs": [
@@ -15,19 +16,18 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "8RunKSRFou+DKdhegD8QAZyIVl14pLifEwNYbIa72jY=",
-      "_ops.py": "aw3gYxBOMlkvKm5pwWx+yzY8pCIs/lgXZV5fqYHr0IU=",
-      "_sageattention2_blackwell_cuda_5a0fd7c.abi3.so": "48/BFgoespqJQEtVKYwK9ZxYW0ihorsHyAca4yvzYLE=",
-      "sageattention2_blackwell/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
+      "_ops.py": "pDaNx2t5PnKVEVqTSd3ensPGiyrHpyDIzxhNCbNH9FY=",
+      "_sageattention2_blackwell_cuda_5542189.abi3.so": "Pgv0CfgldMQNM8Y7IJUPW4mPbsqtio+OLPfbY4r9gE4="
     }
   },
   "provenance": {
     "kernel-builder": {
       "version": "0.17.0-dev0",
-      "sha": "b39ca23f1b36383df00b27b3ffe1276cd5dbea85",
+      "sha": "3a5c09d941a19f582fe551d038dc2b3bc6b0a03d",
       "dirty": false
     },
     "kernel": {
-      "sha": "5a0fd7c325e3521f288901f25624000c5f597d95",
+      "sha": "5542189ca3e6593cabfd117a3b1becf0661c60d3",
       "dirty": false
     }
   }

build/torch212-cxx11-cu132-x86_64-linux/sageattention2_blackwell/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import importlib.util
-import sys
-from pathlib import Path
-from types import ModuleType
-
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch213-cxx11-cu130-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _sageattention2_blackwell_cuda_5a0fd7c
-ops = torch.ops._sageattention2_blackwell_cuda_5a0fd7c
+from . import _sageattention2_blackwell_cuda_5542189
+ops = torch.ops._sageattention2_blackwell_cuda_5542189
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_sageattention2_blackwell_cuda_5a0fd7c::{op_name}"
+    return f"_sageattention2_blackwell_cuda_5542189::{op_name}"

build/{torch213-cxx11-cu132-x86_64-linux/_sageattention2_blackwell_cuda_5a0fd7c.abi3.so → torch213-cxx11-cu130-x86_64-linux/_sageattention2_blackwell_cuda_5542189.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3374124176237ceff0aa9adbf09a1ea610ef7ab3cd85f7e91b53577b7938ee33
-size 1811744
+oid sha256:438f5764f533bee2f7c970a837789a9722d5c8841399d4fa8f5e4eee145508fb
+size 1942712

build/torch213-cxx11-cu130-x86_64-linux/metadata.json

@@ -1,9 +1,10 @@
 {
   "name": "sageattention2-blackwell",
-  "id": "_sageattention2_blackwell_cuda_5a0fd7c",
+  "id": "_sageattention2_blackwell_cuda_5542189",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
+  "kernel-depends": [],
   "backend": {
     "type": "cuda",
     "archs": [
@@ -15,19 +16,18 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "8RunKSRFou+DKdhegD8QAZyIVl14pLifEwNYbIa72jY=",
-      "_ops.py": "aw3gYxBOMlkvKm5pwWx+yzY8pCIs/lgXZV5fqYHr0IU=",
-      "_sageattention2_blackwell_cuda_5a0fd7c.abi3.so": "ELlbG2pEITaqWRc2NsZWWNAbnHSKU9zxrqVnQe7jnJ8=",
-      "sageattention2_blackwell/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
+      "_ops.py": "pDaNx2t5PnKVEVqTSd3ensPGiyrHpyDIzxhNCbNH9FY=",
+      "_sageattention2_blackwell_cuda_5542189.abi3.so": "Q49XZPUzvuL3yXCoN3ialyLVyIQTmdT6j15O7hRVCPs="
     }
   },
   "provenance": {
     "kernel-builder": {
       "version": "0.17.0-dev0",
-      "sha": "b39ca23f1b36383df00b27b3ffe1276cd5dbea85",
+      "sha": "3a5c09d941a19f582fe551d038dc2b3bc6b0a03d",
       "dirty": false
     },
     "kernel": {
-      "sha": "5a0fd7c325e3521f288901f25624000c5f597d95",
+      "sha": "5542189ca3e6593cabfd117a3b1becf0661c60d3",
       "dirty": false
     }
   }

build/torch213-cxx11-cu130-x86_64-linux/sageattention2_blackwell/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import importlib.util
-import sys
-from pathlib import Path
-from types import ModuleType
-
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch213-cxx11-cu132-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _sageattention2_blackwell_cuda_5a0fd7c
-ops = torch.ops._sageattention2_blackwell_cuda_5a0fd7c
+from . import _sageattention2_blackwell_cuda_5542189
+ops = torch.ops._sageattention2_blackwell_cuda_5542189
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_sageattention2_blackwell_cuda_5a0fd7c::{op_name}"
+    return f"_sageattention2_blackwell_cuda_5542189::{op_name}"

build/{torch212-cxx11-cu132-x86_64-linux/_sageattention2_blackwell_cuda_5a0fd7c.abi3.so → torch213-cxx11-cu132-x86_64-linux/_sageattention2_blackwell_cuda_5542189.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e3cfc1160a1eb29a89404b55298c0af59c585b48a1a2bb07c8071ae32bf360b1
-size 1811904
+oid sha256:3a57447f1952300a6b372a8711cc8ac75640ed108a18bf8955f6744b8bd0c926
+size 1799456

build/torch213-cxx11-cu132-x86_64-linux/metadata.json

@@ -1,9 +1,10 @@
 {
   "name": "sageattention2-blackwell",
-  "id": "_sageattention2_blackwell_cuda_5a0fd7c",
+  "id": "_sageattention2_blackwell_cuda_5542189",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
+  "kernel-depends": [],
   "backend": {
     "type": "cuda",
     "archs": [
@@ -15,19 +16,18 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "8RunKSRFou+DKdhegD8QAZyIVl14pLifEwNYbIa72jY=",
-      "_ops.py": "aw3gYxBOMlkvKm5pwWx+yzY8pCIs/lgXZV5fqYHr0IU=",
-      "_sageattention2_blackwell_cuda_5a0fd7c.abi3.so": "M3QSQXYjfO/wqprb8JoephDverPNhffpG1NXe3k47jM=",
-      "sageattention2_blackwell/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
+      "_ops.py": "pDaNx2t5PnKVEVqTSd3ensPGiyrHpyDIzxhNCbNH9FY=",
+      "_sageattention2_blackwell_cuda_5542189.abi3.so": "OldEfxlSMAprNyqHEcyKx1ZA7RCKGL+JVfZ0S4vQySY="
     }
   },
   "provenance": {
     "kernel-builder": {
       "version": "0.17.0-dev0",
-      "sha": "b39ca23f1b36383df00b27b3ffe1276cd5dbea85",
+      "sha": "3a5c09d941a19f582fe551d038dc2b3bc6b0a03d",
       "dirty": false
     },
     "kernel": {
-      "sha": "5a0fd7c325e3521f288901f25624000c5f597d95",
+      "sha": "5542189ca3e6593cabfd117a3b1becf0661c60d3",
       "dirty": false
     }
   }

build/torch213-cxx11-cu132-x86_64-linux/sageattention2_blackwell/__init__.py

@@ -1,26 +0,0 @@
-import ctypes
-import importlib.util
-import sys
-from pathlib import Path
-from types import ModuleType
-
-
-def _import_from_path(file_path: Path) -> ModuleType:
-    # We cannot use the module name as-is, after adding it to `sys.modules`,
-    # it would also be used for other imports. So, we make a module name that
-    # depends on the path for it to be unique using the hex-encoded hash of
-    # the path.
-    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
-    module_name = path_hash
-    spec = importlib.util.spec_from_file_location(module_name, file_path)
-    if spec is None:
-        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
-    module = importlib.util.module_from_spec(spec)
-    if module is None:
-        raise ImportError(f"Cannot load module {module_name} from spec")
-    sys.modules[module_name] = module
-    spec.loader.exec_module(module)  # type: ignore
-    return module
-
-
-globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))