Uploaded using `kernel-builder`.

build/torch210-cxx11-cu126-aarch64-linux/__init__.py

@@ -5,56 +5,56 @@ from ._ops import ops
 from . import layers
 
 
-def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu_and_mul(out, x)
     return out
 
 
-def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.mul_and_silu(out, x)
     return out
 
 
-def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_and_mul(out, x)
     return out
 
 
-def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh_and_mul(out, x)
     return out
 
 
-def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
+def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
     ops.fatrelu_and_mul(out, x, threshold)
     return out
 
 
-def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu(out, x)
     return out
 
-def silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu(out, x)
     return out
 
 
-def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh(out, x)
     return out
 
 
-def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_fast(out, x)
     return out
 
 
-def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_new(out, x)
     return out
 
 
-def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_quick(out, x)
     return out
 

build/torch210-cxx11-cu126-aarch64-linux/{_activation_cuda_c575345.abi3.so → _activation_cuda_5c4052d.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:668466c8d370b477243c7bc804dfa390d5decc4e76e14fd3fe305d08d64bf8f4
-size 3228128
+oid sha256:149373c97cf420599b326034ab20390b37e04a904a71377d33bb78106dba719f
+size 3238088

build/torch210-cxx11-cu126-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _activation_cuda_c575345
-ops = torch.ops._activation_cuda_c575345
+from . import _activation_cuda_5c4052d
+ops = torch.ops._activation_cuda_5c4052d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_activation_cuda_c575345::{op_name}"
+    return f"_activation_cuda_5c4052d::{op_name}"

build/torch210-cxx11-cu126-aarch64-linux/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "activation",
-  "id": "_activation_cuda_c575345",
+  "id": "_activation_cuda_5c4052d",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch210-cxx11-cu128-aarch64-linux/__init__.py

@@ -5,56 +5,56 @@ from ._ops import ops
 from . import layers
 
 
-def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu_and_mul(out, x)
     return out
 
 
-def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.mul_and_silu(out, x)
     return out
 
 
-def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_and_mul(out, x)
     return out
 
 
-def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh_and_mul(out, x)
     return out
 
 
-def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
+def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
     ops.fatrelu_and_mul(out, x, threshold)
     return out
 
 
-def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu(out, x)
     return out
 
-def silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu(out, x)
     return out
 
 
-def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh(out, x)
     return out
 
 
-def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_fast(out, x)
     return out
 
 
-def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_new(out, x)
     return out
 
 
-def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_quick(out, x)
     return out
 

build/torch210-cxx11-cu128-aarch64-linux/{_activation_cuda_c575345.abi3.so → _activation_cuda_5c4052d.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:41eac5fc79121d37f9b082974ef1379888ebb4a53170fa8be4793ee48d1b94c5
-size 4538960
+oid sha256:ed76cc93898a7c53ec46ff9324e0244fc70ab03348f0e6ba1c2a89075712e79f
+size 4549072

build/torch210-cxx11-cu128-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _activation_cuda_c575345
-ops = torch.ops._activation_cuda_c575345
+from . import _activation_cuda_5c4052d
+ops = torch.ops._activation_cuda_5c4052d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_activation_cuda_c575345::{op_name}"
+    return f"_activation_cuda_5c4052d::{op_name}"

build/torch210-cxx11-cu128-aarch64-linux/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "activation",
-  "id": "_activation_cuda_c575345",
+  "id": "_activation_cuda_5c4052d",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch210-cxx11-cu130-aarch64-linux/__init__.py

@@ -5,56 +5,56 @@ from ._ops import ops
 from . import layers
 
 
-def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu_and_mul(out, x)
     return out
 
 
-def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.mul_and_silu(out, x)
     return out
 
 
-def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_and_mul(out, x)
     return out
 
 
-def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh_and_mul(out, x)
     return out
 
 
-def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
+def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
     ops.fatrelu_and_mul(out, x, threshold)
     return out
 
 
-def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu(out, x)
     return out
 
-def silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu(out, x)
     return out
 
 
-def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh(out, x)
     return out
 
 
-def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_fast(out, x)
     return out
 
 
-def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_new(out, x)
     return out
 
 
-def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_quick(out, x)
     return out
 

build/torch210-cxx11-cu130-aarch64-linux/{_activation_cuda_c575345.abi3.so → _activation_cuda_5c4052d.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d0b86fa4b2e20bb64dd6de0a95f43b489cc53dd678d8a3ec2a25dd580ec255d7
-size 4294136
+oid sha256:cc3176d1cd061c0f605390c4ba6669542f577d1dc7670e2a9983c5e8da81b3d2
+size 4304160

build/torch210-cxx11-cu130-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _activation_cuda_c575345
-ops = torch.ops._activation_cuda_c575345
+from . import _activation_cuda_5c4052d
+ops = torch.ops._activation_cuda_5c4052d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_activation_cuda_c575345::{op_name}"
+    return f"_activation_cuda_5c4052d::{op_name}"

build/torch210-cxx11-cu130-aarch64-linux/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "activation",
-  "id": "_activation_cuda_c575345",
+  "id": "_activation_cuda_5c4052d",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch211-cxx11-cu126-aarch64-linux/__init__.py

@@ -5,56 +5,56 @@ from ._ops import ops
 from . import layers
 
 
-def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu_and_mul(out, x)
     return out
 
 
-def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.mul_and_silu(out, x)
     return out
 
 
-def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_and_mul(out, x)
     return out
 
 
-def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh_and_mul(out, x)
     return out
 
 
-def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
+def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
     ops.fatrelu_and_mul(out, x, threshold)
     return out
 
 
-def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu(out, x)
     return out
 
-def silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu(out, x)
     return out
 
 
-def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh(out, x)
     return out
 
 
-def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_fast(out, x)
     return out
 
 
-def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_new(out, x)
     return out
 
 
-def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_quick(out, x)
     return out
 

build/torch211-cxx11-cu126-aarch64-linux/{_activation_cuda_c575345.abi3.so → _activation_cuda_5c4052d.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0893db5964e55210e2517c9397e225ccae2b0f44139a511382dc6f5f03965a00
-size 3224336
+oid sha256:7661522cba8bdcb098bc71a855e5b3f742aa8e0265e54c0e2bf831925ac2b63d
+size 3234288

build/torch211-cxx11-cu126-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _activation_cuda_c575345
-ops = torch.ops._activation_cuda_c575345
+from . import _activation_cuda_5c4052d
+ops = torch.ops._activation_cuda_5c4052d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_activation_cuda_c575345::{op_name}"
+    return f"_activation_cuda_5c4052d::{op_name}"

build/torch211-cxx11-cu126-aarch64-linux/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "activation",
-  "id": "_activation_cuda_c575345",
+  "id": "_activation_cuda_5c4052d",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch211-cxx11-cu128-aarch64-linux/__init__.py

@@ -5,56 +5,56 @@ from ._ops import ops
 from . import layers
 
 
-def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu_and_mul(out, x)
     return out
 
 
-def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.mul_and_silu(out, x)
     return out
 
 
-def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_and_mul(out, x)
     return out
 
 
-def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh_and_mul(out, x)
     return out
 
 
-def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
+def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
     ops.fatrelu_and_mul(out, x, threshold)
     return out
 
 
-def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu(out, x)
     return out
 
-def silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu(out, x)
     return out
 
 
-def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh(out, x)
     return out
 
 
-def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_fast(out, x)
     return out
 
 
-def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_new(out, x)
     return out
 
 
-def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_quick(out, x)
     return out
 

build/torch211-cxx11-cu128-aarch64-linux/_activation_cuda_5c4052d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb433deb1f5549dc62b9db9c056317896ee5e004eb5c320a99798f0ed578e25a
+size 4545304

build/torch211-cxx11-cu128-aarch64-linux/_activation_cuda_c575345.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:01ec84c4b54c59948ddd052dac14f20c6eab419eb65890ffd39d75fda8e12c8f
-size 4535168

build/torch211-cxx11-cu128-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _activation_cuda_c575345
-ops = torch.ops._activation_cuda_c575345
+from . import _activation_cuda_5c4052d
+ops = torch.ops._activation_cuda_5c4052d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_activation_cuda_c575345::{op_name}"
+    return f"_activation_cuda_5c4052d::{op_name}"

build/torch211-cxx11-cu128-aarch64-linux/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "activation",
-  "id": "_activation_cuda_c575345",
+  "id": "_activation_cuda_5c4052d",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch211-cxx11-cu130-aarch64-linux/__init__.py

@@ -5,56 +5,56 @@ from ._ops import ops
 from . import layers
 
 
-def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu_and_mul(out, x)
     return out
 
 
-def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.mul_and_silu(out, x)
     return out
 
 
-def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_and_mul(out, x)
     return out
 
 
-def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh_and_mul(out, x)
     return out
 
 
-def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
+def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
     ops.fatrelu_and_mul(out, x, threshold)
     return out
 
 
-def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu(out, x)
     return out
 
-def silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu(out, x)
     return out
 
 
-def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh(out, x)
     return out
 
 
-def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_fast(out, x)
     return out
 
 
-def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_new(out, x)
     return out
 
 
-def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_quick(out, x)
     return out
 

build/torch211-cxx11-cu130-aarch64-linux/_activation_cuda_5c4052d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:039a31628c2b045d3a2cc099a41e7a7b71d2742173cd765faf95e4d741379f66
+size 4300368

build/torch211-cxx11-cu130-aarch64-linux/_activation_cuda_c575345.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:94dd7f3b3ce9727238afa3c9f3e16d409602ef87a3ac88411a20b1c486ddca14
-size 4290344

build/torch211-cxx11-cu130-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _activation_cuda_c575345
-ops = torch.ops._activation_cuda_c575345
+from . import _activation_cuda_5c4052d
+ops = torch.ops._activation_cuda_5c4052d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_activation_cuda_c575345::{op_name}"
+    return f"_activation_cuda_5c4052d::{op_name}"

build/torch211-cxx11-cu130-aarch64-linux/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "activation",
-  "id": "_activation_cuda_c575345",
+  "id": "_activation_cuda_5c4052d",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch212-cxx11-cu126-aarch64-linux/__init__.py

@@ -5,56 +5,56 @@ from ._ops import ops
 from . import layers
 
 
-def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu_and_mul(out, x)
     return out
 
 
-def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.mul_and_silu(out, x)
     return out
 
 
-def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_and_mul(out, x)
     return out
 
 
-def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh_and_mul(out, x)
     return out
 
 
-def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
+def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
     ops.fatrelu_and_mul(out, x, threshold)
     return out
 
 
-def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu(out, x)
     return out
 
-def silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu(out, x)
     return out
 
 
-def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh(out, x)
     return out
 
 
-def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_fast(out, x)
     return out
 
 
-def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_new(out, x)
     return out
 
 
-def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_quick(out, x)
     return out
 

build/torch212-cxx11-cu126-aarch64-linux/_activation_cuda_5c4052d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:535e5ecec0958a0abcc6f6f22b4f035bc220501c3af6f215bca4963610050ae0
+size 3227352

build/torch212-cxx11-cu126-aarch64-linux/_activation_cuda_c575345.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d75df4acff0e485f742af641a6cd15390f5bdf21d532ae59a263d09f0f99006b
-size 3227424

build/torch212-cxx11-cu126-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _activation_cuda_c575345
-ops = torch.ops._activation_cuda_c575345
+from . import _activation_cuda_5c4052d
+ops = torch.ops._activation_cuda_5c4052d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_activation_cuda_c575345::{op_name}"
+    return f"_activation_cuda_5c4052d::{op_name}"

build/torch212-cxx11-cu126-aarch64-linux/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "activation",
-  "id": "_activation_cuda_c575345",
+  "id": "_activation_cuda_5c4052d",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch212-cxx11-cu130-aarch64-linux/__init__.py

@@ -5,56 +5,56 @@ from ._ops import ops
 from . import layers
 
 
-def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu_and_mul(out, x)
     return out
 
 
-def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.mul_and_silu(out, x)
     return out
 
 
-def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_and_mul(out, x)
     return out
 
 
-def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh_and_mul(out, x)
     return out
 
 
-def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
+def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
     ops.fatrelu_and_mul(out, x, threshold)
     return out
 
 
-def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu(out, x)
     return out
 
-def silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu(out, x)
     return out
 
 
-def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh(out, x)
     return out
 
 
-def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_fast(out, x)
     return out
 
 
-def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_new(out, x)
     return out
 
 
-def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_quick(out, x)
     return out
 

build/torch212-cxx11-cu130-aarch64-linux/_activation_cuda_5c4052d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abf684d68c4646085d527e1840b232a066e982434f4d8c0090ac718e9ba1a4f7
+size 4293424

build/torch212-cxx11-cu130-aarch64-linux/_activation_cuda_c575345.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:db2454fa7a05ec65fc9c69894d7694a776d71f0e790f25667d78fbdacee6ddea
-size 4293408

build/torch212-cxx11-cu130-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _activation_cuda_c575345
-ops = torch.ops._activation_cuda_c575345
+from . import _activation_cuda_5c4052d
+ops = torch.ops._activation_cuda_5c4052d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_activation_cuda_c575345::{op_name}"
+    return f"_activation_cuda_5c4052d::{op_name}"

build/torch212-cxx11-cu130-aarch64-linux/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "activation",
-  "id": "_activation_cuda_c575345",
+  "id": "_activation_cuda_5c4052d",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],

build/torch212-cxx11-cu132-aarch64-linux/__init__.py

@@ -5,56 +5,56 @@ from ._ops import ops
 from . import layers
 
 
-def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu_and_mul(out, x)
     return out
 
 
-def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def mul_and_silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.mul_and_silu(out, x)
     return out
 
 
-def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_and_mul(out, x)
     return out
 
 
-def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh_and_mul(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh_and_mul(out, x)
     return out
 
 
-def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> None:
+def fatrelu_and_mul(out: torch.Tensor, x: torch.Tensor, threshold: float = 0.0) -> torch.Tensor:
     ops.fatrelu_and_mul(out, x, threshold)
     return out
 
 
-def gelu(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu(out, x)
     return out
 
-def silu(out: torch.Tensor, x: torch.Tensor) -> None:
+def silu(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.silu(out, x)
     return out
 
 
-def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_tanh(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_tanh(out, x)
     return out
 
 
-def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_fast(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_fast(out, x)
     return out
 
 
-def gelu_new(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_new(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_new(out, x)
     return out
 
 
-def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> None:
+def gelu_quick(out: torch.Tensor, x: torch.Tensor) -> torch.Tensor:
     ops.gelu_quick(out, x)
     return out
 

build/torch212-cxx11-cu132-aarch64-linux/_activation_cuda_5c4052d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7592f59ebaef3c933a97bb6de9f40c532adb785a5ff32f0370fcae24479fc87b
+size 4361560

build/torch212-cxx11-cu132-aarch64-linux/_activation_cuda_c575345.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6a8cff8cbb622faddaebd560d24a11099484cbbea661774d28f34a8f34107014
-size 4361544

build/torch212-cxx11-cu132-aarch64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _activation_cuda_c575345
-ops = torch.ops._activation_cuda_c575345
+from . import _activation_cuda_5c4052d
+ops = torch.ops._activation_cuda_5c4052d
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_activation_cuda_c575345::{op_name}"
+    return f"_activation_cuda_5c4052d::{op_name}"

build/torch212-cxx11-cu132-aarch64-linux/metadata.json

@@ -1,6 +1,6 @@
 {
   "name": "activation",
-  "id": "_activation_cuda_c575345",
+  "id": "_activation_cuda_5c4052d",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],