Uploaded using `kernel-builder`.

build/torch210-cxx11-cu126-x86_64-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-x86_64-linux/{_activation_cuda_c575345.abi3.so → _activation_cuda_5c4052d.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:02b022ebc9805be5f3bb459a5b81db1446d55caf3706b6326d264283aec836ec
-size 3126848
+oid sha256:da157b4ba351efc850b77a98848a682d58548cf87091a80298847c1666c79b83
+size 3126728

build/torch210-cxx11-cu126-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/{_activation_cuda_c575345.abi3.so → _activation_cuda_5c4052d.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9ea266e51f73ea0b505dcc7e89ee93a03f33fc9beede46d13bd9c0b7349f0470
-size 4406632
+oid sha256:fe2b60e35d7661e06e9c582934719cd1b9c8593ab61dbf8849557cd352e04ac3
+size 4406672

build/torch210-cxx11-cu128-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/{_activation_cuda_c575345.abi3.so → _activation_cuda_5c4052d.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b30ea47c1ffe724fb047301d4dcea504924cb3c0cf0f15e3cefbbee18a55bf9
-size 4186584
+oid sha256:d36461034e015a2222bfde8334c244c1ecd474ad9a6a17d1bff4c45b33a5c0f9
+size 4186552

build/torch210-cxx11-cu130-x86_64-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-x86_64-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-x86_64-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-x86_64-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:f819fe87f4900ceafa027bcf1593a59a9fbf81d8edeb109d26dd26bc6cee9cd6
-size 3119768
+oid sha256:bd5d535d404d78f1f88db41bd3b2a5169050dcaf99748299694879be6c4a090c
+size 3119656

build/torch211-cxx11-cu126-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/_activation_cuda_5c4052d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ec56b6fc9027c8d767289b2ef3c678dfe0ac25a286021aaf517ccecc6c31285
+size 4391400

build/torch211-cxx11-cu128-x86_64-linux/_activation_cuda_c575345.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3374b286633672e60c2163327140fc334f0a7215e656f60dd25f4994b14361d7
-size 4395464

build/torch211-cxx11-cu128-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/_activation_cuda_5c4052d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2d14406aa4c75fec39bde58d22c36a128ab7821f8d5f79042dc8928d66bc178
+size 4175384

build/torch211-cxx11-cu130-x86_64-linux/_activation_cuda_c575345.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fabe3c56c8acbc1634c9f8a1dd5b58f7771587eefd4385aff0714099137d8567
-size 4175416

build/torch211-cxx11-cu130-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/_activation_cuda_5c4052d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8c95e046ffb2ad4c39ea83278180bc302dca88001692af0f7ff728be3a51c28
+size 3121096

build/torch212-cxx11-cu126-x86_64-linux/_activation_cuda_c575345.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6ca950ab82aeac2f6a41925e8169ead38e4e8caac81ef2b17ac7c3dbf6eccfbe
-size 3121248

build/torch212-cxx11-cu126-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/_activation_cuda_5c4052d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ed4266e637f78bc1b24e2d02988cb44950d55c3bc15b3b7f468bd74c61cc522e
+size 4176808

build/torch212-cxx11-cu130-x86_64-linux/_activation_cuda_c575345.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e03327ab33997bf7238cdea107ed16c4641952190087464e940dfc548e2635ef
-size 4176840

build/torch212-cxx11-cu130-x86_64-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-x86_64-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-x86_64-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-x86_64-linux/_activation_cuda_5c4052d.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:306cb9aba6d602501db08743aa6b530af317a10f6e79885eec7a8df1478bb4a1
+size 4236408

build/torch212-cxx11-cu132-x86_64-linux/_activation_cuda_c575345.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a8d367bb18246bb7ce85e9e093f5a65aa89a71ea228ecc8b4ff17fa3ccbfd0b4
-size 4236440

build/torch212-cxx11-cu132-x86_64-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-x86_64-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": [],