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danieldk HF Staff commited on
Commit
d4e7aea
·
1 Parent(s): 2678216

Remove builds incompatible with kernels >= 0.14

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Files changed (50) hide show
  1. build/torch26-cxx11-cu118-x86_64-linux/quantization_eetq/__init__.py +0 -3
  2. build/torch26-cxx11-cu118-x86_64-linux/quantization_eetq/_ops.py +0 -9
  3. build/torch26-cxx11-cu118-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so +0 -3
  4. build/torch26-cxx11-cu118-x86_64-linux/quantization_eetq/custom_ops.py +0 -36
  5. build/torch26-cxx11-cu124-x86_64-linux/quantization_eetq/__init__.py +0 -3
  6. build/torch26-cxx11-cu124-x86_64-linux/quantization_eetq/_ops.py +0 -9
  7. build/torch26-cxx11-cu124-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so +0 -3
  8. build/torch26-cxx11-cu124-x86_64-linux/quantization_eetq/custom_ops.py +0 -36
  9. build/torch26-cxx11-cu126-aarch64-linux/quantization_eetq/__init__.py +0 -3
  10. build/torch26-cxx11-cu126-aarch64-linux/quantization_eetq/_ops.py +0 -9
  11. build/torch26-cxx11-cu126-aarch64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so +0 -3
  12. build/torch26-cxx11-cu126-aarch64-linux/quantization_eetq/custom_ops.py +0 -36
  13. build/torch26-cxx11-cu126-x86_64-linux/quantization_eetq/__init__.py +0 -3
  14. build/torch26-cxx11-cu126-x86_64-linux/quantization_eetq/_ops.py +0 -9
  15. build/torch26-cxx11-cu126-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so +0 -3
  16. build/torch26-cxx11-cu126-x86_64-linux/quantization_eetq/custom_ops.py +0 -36
  17. build/torch26-cxx98-cu118-x86_64-linux/quantization_eetq/__init__.py +0 -3
  18. build/torch26-cxx98-cu118-x86_64-linux/quantization_eetq/_ops.py +0 -9
  19. build/torch26-cxx98-cu118-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so +0 -3
  20. build/torch26-cxx98-cu118-x86_64-linux/quantization_eetq/custom_ops.py +0 -36
  21. build/torch26-cxx98-cu124-x86_64-linux/quantization_eetq/__init__.py +0 -3
  22. build/torch26-cxx98-cu124-x86_64-linux/quantization_eetq/_ops.py +0 -9
  23. build/torch26-cxx98-cu124-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so +0 -3
  24. build/torch26-cxx98-cu124-x86_64-linux/quantization_eetq/custom_ops.py +0 -36
  25. build/torch26-cxx98-cu126-aarch64-linux/quantization_eetq/__init__.py +0 -3
  26. build/torch26-cxx98-cu126-aarch64-linux/quantization_eetq/_ops.py +0 -9
  27. build/torch26-cxx98-cu126-aarch64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so +0 -3
  28. build/torch26-cxx98-cu126-aarch64-linux/quantization_eetq/custom_ops.py +0 -36
  29. build/torch26-cxx98-cu126-x86_64-linux/quantization_eetq/__init__.py +0 -3
  30. build/torch26-cxx98-cu126-x86_64-linux/quantization_eetq/_ops.py +0 -9
  31. build/torch26-cxx98-cu126-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so +0 -3
  32. build/torch26-cxx98-cu126-x86_64-linux/quantization_eetq/custom_ops.py +0 -36
  33. build/torch27-cxx11-cu118-x86_64-linux/quantization_eetq/__init__.py +0 -3
  34. build/torch27-cxx11-cu118-x86_64-linux/quantization_eetq/__pycache__/__init__.cpython-313.pyc +0 -0
  35. build/torch27-cxx11-cu118-x86_64-linux/quantization_eetq/__pycache__/_ops.cpython-313.pyc +0 -0
  36. build/torch27-cxx11-cu118-x86_64-linux/quantization_eetq/__pycache__/custom_ops.cpython-313.pyc +0 -0
  37. build/torch27-cxx11-cu118-x86_64-linux/quantization_eetq/_ops.py +0 -9
  38. build/torch27-cxx11-cu118-x86_64-linux/quantization_eetq/_quantization_eetq_92f3139.abi3.so +0 -3
  39. build/torch27-cxx11-cu118-x86_64-linux/quantization_eetq/custom_ops.py +0 -36
  40. build/torch27-cxx11-cu126-aarch64-linux/quantization_eetq/__init__.py +0 -3
  41. build/torch27-cxx11-cu126-aarch64-linux/quantization_eetq/_ops.py +0 -9
  42. build/torch27-cxx11-cu126-aarch64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so +0 -3
  43. build/torch27-cxx11-cu126-aarch64-linux/quantization_eetq/custom_ops.py +0 -36
  44. build/torch27-cxx11-cu126-x86_64-linux/quantization_eetq/__init__.py +0 -3
  45. build/torch27-cxx11-cu126-x86_64-linux/quantization_eetq/__pycache__/__init__.cpython-313.pyc +0 -0
  46. build/torch27-cxx11-cu126-x86_64-linux/quantization_eetq/__pycache__/_ops.cpython-313.pyc +0 -0
  47. build/torch27-cxx11-cu126-x86_64-linux/quantization_eetq/__pycache__/custom_ops.cpython-313.pyc +0 -0
  48. build/torch27-cxx11-cu126-x86_64-linux/quantization_eetq/_ops.py +0 -9
  49. build/torch27-cxx11-cu126-x86_64-linux/quantization_eetq/_quantization_eetq_92f3139.abi3.so +0 -3
  50. build/torch27-cxx11-cu126-x86_64-linux/quantization_eetq/custom_ops.py +0 -36
build/torch26-cxx11-cu118-x86_64-linux/quantization_eetq/__init__.py DELETED
@@ -1,3 +0,0 @@
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/torch26-cxx11-cu118-x86_64-linux/quantization_eetq/_ops.py DELETED
@@ -1,9 +0,0 @@
1
- import torch
2
- from . import _quantization_eetq_6337ee0
3
- ops = torch.ops._quantization_eetq_6337ee0
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_6337ee0::{op_name}"
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx11-cu118-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so DELETED
@@ -1,3 +0,0 @@
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- version https://git-lfs.github.com/spec/v1
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build/torch26-cxx11-cu118-x86_64-linux/quantization_eetq/custom_ops.py DELETED
@@ -1,36 +0,0 @@
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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
- n: int,
20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx11-cu124-x86_64-linux/quantization_eetq/__init__.py DELETED
@@ -1,3 +0,0 @@
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/torch26-cxx11-cu124-x86_64-linux/quantization_eetq/_ops.py DELETED
@@ -1,9 +0,0 @@
1
- import torch
2
- from . import _quantization_eetq_6337ee0
3
- ops = torch.ops._quantization_eetq_6337ee0
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_6337ee0::{op_name}"
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx11-cu124-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so DELETED
@@ -1,3 +0,0 @@
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:071573e21e6054145a3182514e04116df6866ae748c227fd2ea436153e4c6275
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- size 31002600
 
 
 
 
build/torch26-cxx11-cu124-x86_64-linux/quantization_eetq/custom_ops.py DELETED
@@ -1,36 +0,0 @@
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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
- n: int,
20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx11-cu126-aarch64-linux/quantization_eetq/__init__.py DELETED
@@ -1,3 +0,0 @@
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/torch26-cxx11-cu126-aarch64-linux/quantization_eetq/_ops.py DELETED
@@ -1,9 +0,0 @@
1
- import torch
2
- from . import _quantization_eetq_6337ee0
3
- ops = torch.ops._quantization_eetq_6337ee0
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_6337ee0::{op_name}"
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx11-cu126-aarch64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so DELETED
@@ -1,3 +0,0 @@
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:3c312731f3cfedd24fa364a2ea37ffbdbef283026d9970ece49558ab990b64dd
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- size 30886928
 
 
 
 
build/torch26-cxx11-cu126-aarch64-linux/quantization_eetq/custom_ops.py DELETED
@@ -1,36 +0,0 @@
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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
- n: int,
20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx11-cu126-x86_64-linux/quantization_eetq/__init__.py DELETED
@@ -1,3 +0,0 @@
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/torch26-cxx11-cu126-x86_64-linux/quantization_eetq/_ops.py DELETED
@@ -1,9 +0,0 @@
1
- import torch
2
- from . import _quantization_eetq_6337ee0
3
- ops = torch.ops._quantization_eetq_6337ee0
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_6337ee0::{op_name}"
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx11-cu126-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so DELETED
@@ -1,3 +0,0 @@
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:0910d73c92282fee4a95a03b12f5c7f5a014d27e452deed21425c6c959da509a
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build/torch26-cxx11-cu126-x86_64-linux/quantization_eetq/custom_ops.py DELETED
@@ -1,36 +0,0 @@
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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
- n: int,
20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx98-cu118-x86_64-linux/quantization_eetq/__init__.py DELETED
@@ -1,3 +0,0 @@
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/torch26-cxx98-cu118-x86_64-linux/quantization_eetq/_ops.py DELETED
@@ -1,9 +0,0 @@
1
- import torch
2
- from . import _quantization_eetq_6337ee0
3
- ops = torch.ops._quantization_eetq_6337ee0
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_6337ee0::{op_name}"
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx98-cu118-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so DELETED
@@ -1,3 +0,0 @@
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- version https://git-lfs.github.com/spec/v1
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build/torch26-cxx98-cu118-x86_64-linux/quantization_eetq/custom_ops.py DELETED
@@ -1,36 +0,0 @@
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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
- n: int,
20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx98-cu124-x86_64-linux/quantization_eetq/__init__.py DELETED
@@ -1,3 +0,0 @@
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/torch26-cxx98-cu124-x86_64-linux/quantization_eetq/_ops.py DELETED
@@ -1,9 +0,0 @@
1
- import torch
2
- from . import _quantization_eetq_6337ee0
3
- ops = torch.ops._quantization_eetq_6337ee0
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_6337ee0::{op_name}"
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx98-cu124-x86_64-linux/quantization_eetq/_quantization_eetq_6337ee0.abi3.so DELETED
@@ -1,3 +0,0 @@
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:7315f176ff319da68450bc7396fada660484741687b7b0c907baf4520c511219
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- size 31166344
 
 
 
 
build/torch26-cxx98-cu124-x86_64-linux/quantization_eetq/custom_ops.py DELETED
@@ -1,36 +0,0 @@
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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
- n: int,
20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx98-cu126-aarch64-linux/quantization_eetq/__init__.py DELETED
@@ -1,3 +0,0 @@
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/torch26-cxx98-cu126-aarch64-linux/quantization_eetq/_ops.py DELETED
@@ -1,9 +0,0 @@
1
- import torch
2
- from . import _quantization_eetq_6337ee0
3
- ops = torch.ops._quantization_eetq_6337ee0
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_6337ee0::{op_name}"
 
 
 
 
 
 
 
 
 
 
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build/torch26-cxx98-cu126-aarch64-linux/quantization_eetq/custom_ops.py DELETED
@@ -1,36 +0,0 @@
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- 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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
- n: int,
20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch26-cxx98-cu126-x86_64-linux/quantization_eetq/__init__.py DELETED
@@ -1,3 +0,0 @@
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/torch26-cxx98-cu126-x86_64-linux/quantization_eetq/_ops.py DELETED
@@ -1,9 +0,0 @@
1
- import torch
2
- from . import _quantization_eetq_6337ee0
3
- ops = torch.ops._quantization_eetq_6337ee0
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_6337ee0::{op_name}"
 
 
 
 
 
 
 
 
 
 
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build/torch26-cxx98-cu126-x86_64-linux/quantization_eetq/custom_ops.py DELETED
@@ -1,36 +0,0 @@
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- 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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
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20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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
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36
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch27-cxx11-cu118-x86_64-linux/quantization_eetq/__init__.py DELETED
@@ -1,3 +0,0 @@
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"]
 
 
 
 
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build/torch27-cxx11-cu118-x86_64-linux/quantization_eetq/_ops.py DELETED
@@ -1,9 +0,0 @@
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- import torch
2
- from . import _quantization_eetq_92f3139
3
- ops = torch.ops._quantization_eetq_92f3139
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_92f3139::{op_name}"
 
 
 
 
 
 
 
 
 
 
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@@ -1,36 +0,0 @@
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- 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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
- n: int,
20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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
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36
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
build/torch27-cxx11-cu126-aarch64-linux/quantization_eetq/__init__.py DELETED
@@ -1,3 +0,0 @@
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/torch27-cxx11-cu126-aarch64-linux/quantization_eetq/_ops.py DELETED
@@ -1,9 +0,0 @@
1
- import torch
2
- from . import _quantization_eetq_6337ee0
3
- ops = torch.ops._quantization_eetq_6337ee0
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_6337ee0::{op_name}"
 
 
 
 
 
 
 
 
 
 
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@@ -1,36 +0,0 @@
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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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
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20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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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@@ -1,3 +0,0 @@
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"]
 
 
 
 
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@@ -1,9 +0,0 @@
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- import torch
2
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3
- ops = torch.ops._quantization_eetq_92f3139
4
-
5
- def add_op_namespace_prefix(op_name: str):
6
- """
7
- Prefix op by namespace.
8
- """
9
- return f"_quantization_eetq_92f3139::{op_name}"
 
 
 
 
 
 
 
 
 
 
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@@ -1,36 +0,0 @@
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- 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)
11
-
12
-
13
- def w8_a16_gemm_(
14
- input: torch.Tensor,
15
- weight: torch.Tensor,
16
- scale: torch.Tensor,
17
- output: torch.Tensor,
18
- m: int,
19
- n: int,
20
- k: int,
21
- ) -> torch.Tensor:
22
- return ops.w8_a16_gemm_(input, weight, scale, output, m, n, k)
23
-
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
- )