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  1. build/torch210-metal-aarch64-darwin/__init__.py +11 -11
  2. build/torch210-metal-aarch64-darwin/{_activation_metal_c575345.abi3.so → _activation_metal_5c4052d.abi3.so} +2 -2
  3. build/torch210-metal-aarch64-darwin/_ops.py +3 -3
  4. build/torch210-metal-aarch64-darwin/metadata.json +1 -1
  5. build/torch211-metal-aarch64-darwin/__init__.py +11 -11
  6. build/torch211-metal-aarch64-darwin/{_activation_metal_c575345.abi3.so → _activation_metal_5c4052d.abi3.so} +2 -2
  7. build/torch211-metal-aarch64-darwin/_ops.py +3 -3
  8. build/torch211-metal-aarch64-darwin/metadata.json +1 -1
  9. build/torch212-metal-aarch64-darwin/__init__.py +11 -11
  10. build/torch212-metal-aarch64-darwin/{_activation_metal_c575345.abi3.so → _activation_metal_5c4052d.abi3.so} +2 -2
  11. build/torch212-metal-aarch64-darwin/_ops.py +3 -3
  12. build/torch212-metal-aarch64-darwin/metadata.json +1 -1
build/torch210-metal-aarch64-darwin/__init__.py CHANGED
@@ -5,56 +5,56 @@ from ._ops import ops
5
  from . import layers
6
 
7
 
8
- def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
9
  ops.silu_and_mul(out, x)
10
  return out
11
 
12
 
13
- def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
14
  ops.mul_and_silu(out, x)
15
  return out
16
 
17
 
18
- def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
19
  ops.gelu_and_mul(out, x)
20
  return out
21
 
22
 
23
- def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
24
  ops.gelu_tanh_and_mul(out, x)
25
  return out
26
 
27
 
28
- def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
29
  ops.fatrelu_and_mul(out, x, threshold)
30
  return out
31
 
32
 
33
- def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
34
  ops.gelu(out, x)
35
  return out
36
 
37
- def silu(out: torch.Tensor, x: torch.Tensor) -> None:
38
  ops.silu(out, x)
39
  return out
40
 
41
 
42
- def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
43
  ops.gelu_tanh(out, x)
44
  return out
45
 
46
 
47
- def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
48
  ops.gelu_fast(out, x)
49
  return out
50
 
51
 
52
- def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
53
  ops.gelu_new(out, x)
54
  return out
55
 
56
 
57
- def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
58
  ops.gelu_quick(out, x)
59
  return out
60
 
 
5
  from . import layers
6
 
7
 
8
+ def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
9
  ops.silu_and_mul(out, x)
10
  return out
11
 
12
 
13
+ def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
14
  ops.mul_and_silu(out, x)
15
  return out
16
 
17
 
18
+ def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
19
  ops.gelu_and_mul(out, x)
20
  return out
21
 
22
 
23
+ def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
24
  ops.gelu_tanh_and_mul(out, x)
25
  return out
26
 
27
 
28
+ def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
29
  ops.fatrelu_and_mul(out, x, threshold)
30
  return out
31
 
32
 
33
+ def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
34
  ops.gelu(out, x)
35
  return out
36
 
37
+ def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
38
  ops.silu(out, x)
39
  return out
40
 
41
 
42
+ def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
43
  ops.gelu_tanh(out, x)
44
  return out
45
 
46
 
47
+ def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
48
  ops.gelu_fast(out, x)
49
  return out
50
 
51
 
52
+ def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
53
  ops.gelu_new(out, x)
54
  return out
55
 
56
 
57
+ def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
58
  ops.gelu_quick(out, x)
59
  return out
60
 
build/torch210-metal-aarch64-darwin/{_activation_metal_c575345.abi3.so → _activation_metal_5c4052d.abi3.so} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
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- oid sha256:29b8a38420cef1bf91abf73c781ee116fd2c7731ed51f0185f6bb485cbceaeb1
3
- size 205056
 
1
  version https://git-lfs.github.com/spec/v1
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+ oid sha256:cd39e72c0187d7e10ec2548b3ef2726d8a2d74f8be3b1b8865bf2c7f135dc303
3
+ size 221520
build/torch210-metal-aarch64-darwin/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _activation_metal_c575345
3
- ops = torch.ops._activation_metal_c575345
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_activation_metal_c575345::{op_name}"
 
1
  import torch
2
+ from . import _activation_metal_5c4052d
3
+ ops = torch.ops._activation_metal_5c4052d
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_activation_metal_5c4052d::{op_name}"
build/torch210-metal-aarch64-darwin/metadata.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "name": "activation",
3
- "id": "_activation_metal_c575345",
4
  "version": 1,
5
  "license": "Apache-2.0",
6
  "python-depends": [],
 
1
  {
2
  "name": "activation",
3
+ "id": "_activation_metal_5c4052d",
4
  "version": 1,
5
  "license": "Apache-2.0",
6
  "python-depends": [],
build/torch211-metal-aarch64-darwin/__init__.py CHANGED
@@ -5,56 +5,56 @@ from ._ops import ops
5
  from . import layers
6
 
7
 
8
- def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
9
  ops.silu_and_mul(out, x)
10
  return out
11
 
12
 
13
- def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
14
  ops.mul_and_silu(out, x)
15
  return out
16
 
17
 
18
- def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
19
  ops.gelu_and_mul(out, x)
20
  return out
21
 
22
 
23
- def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
24
  ops.gelu_tanh_and_mul(out, x)
25
  return out
26
 
27
 
28
- def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
29
  ops.fatrelu_and_mul(out, x, threshold)
30
  return out
31
 
32
 
33
- def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
34
  ops.gelu(out, x)
35
  return out
36
 
37
- def silu(out: torch.Tensor, x: torch.Tensor) -> None:
38
  ops.silu(out, x)
39
  return out
40
 
41
 
42
- def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
43
  ops.gelu_tanh(out, x)
44
  return out
45
 
46
 
47
- def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
48
  ops.gelu_fast(out, x)
49
  return out
50
 
51
 
52
- def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
53
  ops.gelu_new(out, x)
54
  return out
55
 
56
 
57
- def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
58
  ops.gelu_quick(out, x)
59
  return out
60
 
 
5
  from . import layers
6
 
7
 
8
+ def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
9
  ops.silu_and_mul(out, x)
10
  return out
11
 
12
 
13
+ def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
14
  ops.mul_and_silu(out, x)
15
  return out
16
 
17
 
18
+ def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
19
  ops.gelu_and_mul(out, x)
20
  return out
21
 
22
 
23
+ def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
24
  ops.gelu_tanh_and_mul(out, x)
25
  return out
26
 
27
 
28
+ def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
29
  ops.fatrelu_and_mul(out, x, threshold)
30
  return out
31
 
32
 
33
+ def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
34
  ops.gelu(out, x)
35
  return out
36
 
37
+ def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
38
  ops.silu(out, x)
39
  return out
40
 
41
 
42
+ def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
43
  ops.gelu_tanh(out, x)
44
  return out
45
 
46
 
47
+ def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
48
  ops.gelu_fast(out, x)
49
  return out
50
 
51
 
52
+ def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
53
  ops.gelu_new(out, x)
54
  return out
55
 
56
 
57
+ def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
58
  ops.gelu_quick(out, x)
59
  return out
60
 
build/torch211-metal-aarch64-darwin/{_activation_metal_c575345.abi3.so → _activation_metal_5c4052d.abi3.so} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
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- oid sha256:4590c45a9484bcf9eb009c394ef6a833e23e59a187a78244c478737c194c0e88
3
- size 205056
 
1
  version https://git-lfs.github.com/spec/v1
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+ oid sha256:6853cf4026390770299b1fdb8e21dc1fd402b87cdc6973fbea6ddbb66031fb9c
3
+ size 221520
build/torch211-metal-aarch64-darwin/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _activation_metal_c575345
3
- ops = torch.ops._activation_metal_c575345
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_activation_metal_c575345::{op_name}"
 
1
  import torch
2
+ from . import _activation_metal_5c4052d
3
+ ops = torch.ops._activation_metal_5c4052d
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_activation_metal_5c4052d::{op_name}"
build/torch211-metal-aarch64-darwin/metadata.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "name": "activation",
3
- "id": "_activation_metal_c575345",
4
  "version": 1,
5
  "license": "Apache-2.0",
6
  "python-depends": [],
 
1
  {
2
  "name": "activation",
3
+ "id": "_activation_metal_5c4052d",
4
  "version": 1,
5
  "license": "Apache-2.0",
6
  "python-depends": [],
build/torch212-metal-aarch64-darwin/__init__.py CHANGED
@@ -5,56 +5,56 @@ from ._ops import ops
5
  from . import layers
6
 
7
 
8
- def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
9
  ops.silu_and_mul(out, x)
10
  return out
11
 
12
 
13
- def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
14
  ops.mul_and_silu(out, x)
15
  return out
16
 
17
 
18
- def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
19
  ops.gelu_and_mul(out, x)
20
  return out
21
 
22
 
23
- def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
24
  ops.gelu_tanh_and_mul(out, x)
25
  return out
26
 
27
 
28
- def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
29
  ops.fatrelu_and_mul(out, x, threshold)
30
  return out
31
 
32
 
33
- def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
34
  ops.gelu(out, x)
35
  return out
36
 
37
- def silu(out: torch.Tensor, x: torch.Tensor) -> None:
38
  ops.silu(out, x)
39
  return out
40
 
41
 
42
- def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
43
  ops.gelu_tanh(out, x)
44
  return out
45
 
46
 
47
- def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
48
  ops.gelu_fast(out, x)
49
  return out
50
 
51
 
52
- def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
53
  ops.gelu_new(out, x)
54
  return out
55
 
56
 
57
- def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
58
  ops.gelu_quick(out, x)
59
  return out
60
 
 
5
  from . import layers
6
 
7
 
8
+ def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
9
  ops.silu_and_mul(out, x)
10
  return out
11
 
12
 
13
+ def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
14
  ops.mul_and_silu(out, x)
15
  return out
16
 
17
 
18
+ def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
19
  ops.gelu_and_mul(out, x)
20
  return out
21
 
22
 
23
+ def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
24
  ops.gelu_tanh_and_mul(out, x)
25
  return out
26
 
27
 
28
+ def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
29
  ops.fatrelu_and_mul(out, x, threshold)
30
  return out
31
 
32
 
33
+ def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
34
  ops.gelu(out, x)
35
  return out
36
 
37
+ def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
38
  ops.silu(out, x)
39
  return out
40
 
41
 
42
+ def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
43
  ops.gelu_tanh(out, x)
44
  return out
45
 
46
 
47
+ def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
48
  ops.gelu_fast(out, x)
49
  return out
50
 
51
 
52
+ def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
53
  ops.gelu_new(out, x)
54
  return out
55
 
56
 
57
+ def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
58
  ops.gelu_quick(out, x)
59
  return out
60
 
build/torch212-metal-aarch64-darwin/{_activation_metal_c575345.abi3.so → _activation_metal_5c4052d.abi3.so} RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
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- oid sha256:1d63761625889d853af458b3a42d25b56f87337fa9daa3b715302b89510a5f51
3
- size 205088
 
1
  version https://git-lfs.github.com/spec/v1
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+ oid sha256:b86b16aed8155e33b8c74f907da43cc5c60282ca8a47a5bf0aab21331e127a12
3
+ size 221552
build/torch212-metal-aarch64-darwin/_ops.py CHANGED
@@ -1,9 +1,9 @@
1
  import torch
2
- from . import _activation_metal_c575345
3
- ops = torch.ops._activation_metal_c575345
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
- return f"_activation_metal_c575345::{op_name}"
 
1
  import torch
2
+ from . import _activation_metal_5c4052d
3
+ ops = torch.ops._activation_metal_5c4052d
4
 
5
  def add_op_namespace_prefix(op_name: str):
6
  """
7
  Prefix op by namespace.
8
  """
9
+ return f"_activation_metal_5c4052d::{op_name}"
build/torch212-metal-aarch64-darwin/metadata.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "name": "activation",
3
- "id": "_activation_metal_c575345",
4
  "version": 1,
5
  "license": "Apache-2.0",
6
  "python-depends": [],
 
1
  {
2
  "name": "activation",
3
+ "id": "_activation_metal_5c4052d",
4
  "version": 1,
5
  "license": "Apache-2.0",
6
  "python-depends": [],