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kernels-bot commited on Aug 27

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7eaa91e

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1 Parent(s): 3680490

Uploaded using `kernel-builder`.

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Files changed (10) hide show

build/torch-stable-abi29-cu130-aarch64-linux/{_nvfp4_gemm_cuda_9c5a0e3.abi3.so → _nvfp4_gemm_cuda_addf474.abi3.so} +2 -2
build/torch-stable-abi29-cu130-aarch64-linux/_ops.py +3 -3
build/torch-stable-abi29-cu130-aarch64-linux/metadata.json +7 -7
build/torch-stable-abi29-cu130-aarch64-linux/metadata.json.sigstore +1 -1
build/torch-stable-abi29-cu130-aarch64-linux/nvfp4_gemm/__init__.py +0 -26
build/torch-stable-abi29-cu132-aarch64-linux/{_nvfp4_gemm_cuda_9c5a0e3.abi3.so → _nvfp4_gemm_cuda_addf474.abi3.so} +2 -2
build/torch-stable-abi29-cu132-aarch64-linux/_ops.py +3 -3
build/torch-stable-abi29-cu132-aarch64-linux/metadata.json +7 -7
build/torch-stable-abi29-cu132-aarch64-linux/metadata.json.sigstore +1 -1
build/torch-stable-abi29-cu132-aarch64-linux/nvfp4_gemm/__init__.py +0 -26

build/torch-stable-abi29-cu130-aarch64-linux/{_nvfp4_gemm_cuda_9c5a0e3.abi3.so → _nvfp4_gemm_cuda_addf474.abi3.so} RENAMED Viewed

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build/torch-stable-abi29-cu130-aarch64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _nvfp4_gemm_cuda_9c5a0e3
-ops = torch.ops._nvfp4_gemm_cuda_9c5a0e3
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_nvfp4_gemm_cuda_9c5a0e3::{op_name}"

 import torch
+from . import _nvfp4_gemm_cuda_addf474
+ops = torch.ops._nvfp4_gemm_cuda_addf474
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_nvfp4_gemm_cuda_addf474::{op_name}"

build/torch-stable-abi29-cu130-aarch64-linux/metadata.json CHANGED Viewed

@@ -1,10 +1,11 @@
 {
   "name": "nvfp4-gemm",
-  "id": "_nvfp4_gemm_cuda_9c5a0e3",
   "version": 1,
   "license": "Apache-2.0",
   "upstream": "git+https://github.com/vllm-project/vllm.git",
   "python-depends": [],
   "backend": {
     "type": "cuda",
     "archs": [
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-      "layers.py": "asplwNUY3+drs57APjw3J9kFLtswK9YI0SxRVHZj2Hg=",
-      "nvfp4_gemm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
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 {
   "name": "nvfp4-gemm",
+  "id": "_nvfp4_gemm_cuda_addf474",
   "version": 1,
   "license": "Apache-2.0",
   "upstream": "git+https://github.com/vllm-project/vllm.git",
   "python-depends": [],
+  "kernel-depends": [],
   "backend": {
     "type": "cuda",
     "archs": [
     "algorithm": "sha256",
     "files": {
       "__init__.py": "ARXik9k13ZmZ/1tDxHgH6bQyJ8Cn6wmCrz5WEM+DABI=",
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build/torch-stable-abi29-cu130-aarch64-linux/nvfp4_gemm/__init__.py DELETED Viewed

@@ -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/torch-stable-abi29-cu132-aarch64-linux/{_nvfp4_gemm_cuda_9c5a0e3.abi3.so → _nvfp4_gemm_cuda_addf474.abi3.so} RENAMED Viewed

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-size 3272432

 version https://git-lfs.github.com/spec/v1
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+size 3273608

build/torch-stable-abi29-cu132-aarch64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _nvfp4_gemm_cuda_9c5a0e3
-ops = torch.ops._nvfp4_gemm_cuda_9c5a0e3
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_nvfp4_gemm_cuda_9c5a0e3::{op_name}"

 import torch
+from . import _nvfp4_gemm_cuda_addf474
+ops = torch.ops._nvfp4_gemm_cuda_addf474
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_nvfp4_gemm_cuda_addf474::{op_name}"

build/torch-stable-abi29-cu132-aarch64-linux/metadata.json CHANGED Viewed

@@ -1,10 +1,11 @@
 {
   "name": "nvfp4-gemm",
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   "version": 1,
   "license": "Apache-2.0",
   "upstream": "git+https://github.com/vllm-project/vllm.git",
   "python-depends": [],
   "backend": {
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       "functional.py": "ZTd0hcUOkDdU9ZvpQMPC81KBP3FUvkmfZu7d7mhZRss=",
-      "layers.py": "asplwNUY3+drs57APjw3J9kFLtswK9YI0SxRVHZj2Hg=",
-      "nvfp4_gemm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
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       "dirty": false
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       "dirty": false
     }
   }

 {
   "name": "nvfp4-gemm",
+  "id": "_nvfp4_gemm_cuda_addf474",
   "version": 1,
   "license": "Apache-2.0",
   "upstream": "git+https://github.com/vllm-project/vllm.git",
   "python-depends": [],
+  "kernel-depends": [],
   "backend": {
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     "archs": [
     "algorithm": "sha256",
     "files": {
       "__init__.py": "ARXik9k13ZmZ/1tDxHgH6bQyJ8Cn6wmCrz5WEM+DABI=",
+      "_nvfp4_gemm_cuda_addf474.abi3.so": "UBlVTSk9yejWQm6iuMX5z8+o1th/wljfWhAiLy8h/rs=",
+      "_ops.py": "NkywuO/A1b5s43Ghorj5WGTqbVd+8YDuO+nolF4w4CE=",
       "_pack.py": "jATF2LhpSLUEiPWSrhsCWeyxIyn80CSy2QJNkKMADlc=",
       "functional.py": "ZTd0hcUOkDdU9ZvpQMPC81KBP3FUvkmfZu7d7mhZRss=",
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   "provenance": {
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+      "commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
       "dirty": false
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build/torch-stable-abi29-cu132-aarch64-linux/metadata.json.sigstore CHANGED Viewed

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build/torch-stable-abi29-cu132-aarch64-linux/nvfp4_gemm/__init__.py DELETED Viewed

@@ -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")))