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  1. build/torch212-cxx11-cu126-aarch64-linux/_ops.py +3 -3
  2. build/torch212-cxx11-cu126-aarch64-linux/{_quantization_eetq_cuda_8a730d9.abi3.so → _quantization_eetq_cuda_addf474.abi3.so} +1 -1
  3. build/torch212-cxx11-cu126-aarch64-linux/metadata.json +7 -7
  4. build/torch212-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -1
  5. build/torch212-cxx11-cu126-aarch64-linux/quantization_eetq/__init__.py +0 -26
  6. build/torch213-cxx11-cu126-aarch64-linux/_ops.py +3 -3
  7. build/torch213-cxx11-cu126-aarch64-linux/{_quantization_eetq_cuda_8a730d9.abi3.so → _quantization_eetq_cuda_addf474.abi3.so} +1 -1
  8. build/torch213-cxx11-cu126-aarch64-linux/metadata.json +7 -7
  9. build/torch213-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -1
  10. build/torch213-cxx11-cu126-aarch64-linux/quantization_eetq/__init__.py +0 -26
  11. build/torch214-cxx11-cu126-aarch64-linux/__init__.py +3 -0
  12. build/torch214-cxx11-cu126-aarch64-linux/_ops.py +9 -0
  13. build/torch214-cxx11-cu126-aarch64-linux/_quantization_eetq_cuda_addf474.abi3.so +3 -0
  14. build/torch214-cxx11-cu126-aarch64-linux/custom_ops.py +36 -0
  15. build/torch214-cxx11-cu126-aarch64-linux/metadata.json +41 -0
  16. build/torch214-cxx11-cu126-aarch64-linux/metadata.json.sigstore +1 -0
build/torch212-cxx11-cu126-aarch64-linux/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _quantization_eetq_cuda_8a730d9
3
- ops = torch.ops._quantization_eetq_cuda_8a730d9
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_quantization_eetq_cuda_8a730d9::{op_name}"
 
1
  import torch
2
+ from . import _quantization_eetq_cuda_addf474
3
+ ops = torch.ops._quantization_eetq_cuda_addf474
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_quantization_eetq_cuda_addf474::{op_name}"
build/torch212-cxx11-cu126-aarch64-linux/{_quantization_eetq_cuda_8a730d9.abi3.so → _quantization_eetq_cuda_addf474.abi3.so} RENAMED
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  size 37063472
 
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+ oid sha256:63558231c1ed3635b933e521bba2f9e8527995394b5a031d751064ecd132e186
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build/torch212-cxx11-cu126-aarch64-linux/metadata.json CHANGED
@@ -1,9 +1,10 @@
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  {
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  "name": "quantization-eetq",
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- "id": "_quantization_eetq_cuda_8a730d9",
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  "version": 1,
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  "license": "Apache-2.0",
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  "python-depends": [],
 
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  "name": "quantization-eetq",
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+ "id": "_quantization_eetq_cuda_addf474",
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  "version": 1,
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  "license": "Apache-2.0",
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  "python-depends": [],
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+ "kernel-depends": [],
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  "backend": {
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  "type": "cuda",
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  "archs": [
 
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  "algorithm": "sha256",
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  "files": {
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  "__init__.py": "04eZZgC3lmpGl5VQRD0AYfjZT5XsEdqitoLxxXsWHhU=",
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+ "custom_ops.py": "xQ5O/FbIslbmOoeVXyCN9xChymQ/ceoYutKigPn2bb8="
 
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  "provenance": {
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  "kernel-builder": {
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+ "commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
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+ "commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
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build/torch212-cxx11-cu126-aarch64-linux/quantization_eetq/__init__.py DELETED
@@ -1,26 +0,0 @@
1
- import ctypes
2
- import importlib.util
3
- import sys
4
- from pathlib import Path
5
- from types import ModuleType
6
-
7
-
8
- def _import_from_path(file_path: Path) -> ModuleType:
9
- # We cannot use the module name as-is, after adding it to `sys.modules`,
10
- # it would also be used for other imports. So, we make a module name that
11
- # depends on the path for it to be unique using the hex-encoded hash of
12
- # the path.
13
- path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
14
- module_name = path_hash
15
- spec = importlib.util.spec_from_file_location(module_name, file_path)
16
- if spec is None:
17
- raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
18
- module = importlib.util.module_from_spec(spec)
19
- if module is None:
20
- raise ImportError(f"Cannot load module {module_name} from spec")
21
- sys.modules[module_name] = module
22
- spec.loader.exec_module(module) # type: ignore
23
- return module
24
-
25
-
26
- globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch213-cxx11-cu126-aarch64-linux/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _quantization_eetq_cuda_8a730d9
3
- ops = torch.ops._quantization_eetq_cuda_8a730d9
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_quantization_eetq_cuda_8a730d9::{op_name}"
 
1
  import torch
2
+ from . import _quantization_eetq_cuda_addf474
3
+ ops = torch.ops._quantization_eetq_cuda_addf474
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
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build/torch213-cxx11-cu126-aarch64-linux/quantization_eetq/__init__.py DELETED
@@ -1,26 +0,0 @@
1
- import ctypes
2
- import importlib.util
3
- import sys
4
- from pathlib import Path
5
- from types import ModuleType
6
-
7
-
8
- def _import_from_path(file_path: Path) -> ModuleType:
9
- # We cannot use the module name as-is, after adding it to `sys.modules`,
10
- # it would also be used for other imports. So, we make a module name that
11
- # depends on the path for it to be unique using the hex-encoded hash of
12
- # the path.
13
- path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
14
- module_name = path_hash
15
- spec = importlib.util.spec_from_file_location(module_name, file_path)
16
- if spec is None:
17
- raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
18
- module = importlib.util.module_from_spec(spec)
19
- if module is None:
20
- raise ImportError(f"Cannot load module {module_name} from spec")
21
- sys.modules[module_name] = module
22
- spec.loader.exec_module(module) # type: ignore
23
- return module
24
-
25
-
26
- globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch214-cxx11-cu126-aarch64-linux/__init__.py ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ from .custom_ops import w8_a16_gemm, w8_a16_gemm_, preprocess_weights, quant_weights
2
+
3
+ __all__ = ["w8_a16_gemm", "w8_a16_gemm_", "preprocess_weights", "quant_weights"]
build/torch214-cxx11-cu126-aarch64-linux/_ops.py ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ import torch
2
+ from . import _quantization_eetq_cuda_addf474
3
+ ops = torch.ops._quantization_eetq_cuda_addf474
4
+
5
+ def add_op_namespace_prefix(op_name: str):
6
+ """
7
+ Prefix op by namespace.
8
+ """
9
+ return f"_quantization_eetq_cuda_addf474::{op_name}"
build/torch214-cxx11-cu126-aarch64-linux/_quantization_eetq_cuda_addf474.abi3.so ADDED
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build/torch214-cxx11-cu126-aarch64-linux/custom_ops.py ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from typing import List
2
+ import torch
3
+
4
+ from ._ops import ops
5
+
6
+
7
+ def w8_a16_gemm(
8
+ input: torch.Tensor, weight: torch.Tensor, scale: torch.Tensor
9
+ ) -> torch.Tensor:
10
+ return ops.w8_a16_gemm(input, weight, scale)
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+
12
+
13
+ def w8_a16_gemm_(
14
+ input: torch.Tensor,
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+ weight: torch.Tensor,
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+ scale: torch.Tensor,
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+ output: torch.Tensor,
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+ m: int,
19
+ n: int,
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+ k: int,
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+ ) -> torch.Tensor:
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+ return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
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+
24
+
25
+ def preprocess_weights(origin_weight: torch.Tensor, is_int4: bool) -> torch.Tensor:
26
+ return ops.preprocess_weights(origin_weight, is_int4)
27
+
28
+
29
+ def quant_weights(
30
+ origin_weight: torch.Tensor,
31
+ quant_type: torch.dtype,
32
+ return_unprocessed_quantized_tensor: bool,
33
+ ) -> List[torch.Tensor]:
34
+ return ops.quant_weights(
35
+ origin_weight, quant_type, return_unprocessed_quantized_tensor
36
+ )
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+ "type": "cuda",
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+ "7.0",
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