Build uploaded using `kernels`.

.gitattributes

@@ -259,3 +259,17 @@ build/torch29-cxx11-cu126-aarch64-linux/_relu_cuda_6261c06.abi3.so filter=lfs di
 build/torch29-cxx11-cu128-aarch64-linux/_relu_cuda_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch29-cxx11-cu130-aarch64-linux/_relu_cuda_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch210-cu128-x86_64-windows/_relu_cuda_657300a.pyd filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cpu-x86_64-linux/_relu_cpu_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu126-x86_64-linux/_relu_cuda_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu128-x86_64-linux/_relu_cuda_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-cu130-x86_64-linux/_relu_cuda_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-rocm70-x86_64-linux/_relu_rocm_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-rocm71-x86_64-linux/_relu_rocm_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cxx11-xpu20253-x86_64-linux/_relu_xpu_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-cpu-x86_64-linux/_relu_cpu_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-cu126-x86_64-linux/_relu_cuda_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-cu128-x86_64-linux/_relu_cuda_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-cu130-x86_64-linux/_relu_cuda_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-rocm63-x86_64-linux/_relu_rocm_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-rocm64-x86_64-linux/_relu_rocm_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch29-cxx11-xpu20252-x86_64-linux/_relu_xpu_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text

build/torch210-cxx11-cpu-x86_64-linux/__init__.py

@@ -4,9 +4,13 @@ import torch
 
 from ._ops import ops
 
+from . import layers
+
 
 def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
     if out is None:
         out = torch.empty_like(x)
     ops.relu(out, x)
-    return out
+    return out
+
+__all__ = ["relu", "layers"]

build/torch210-cxx11-cpu-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cpu_smcctie2ikqu4
-ops = torch.ops._relu_cpu_smcctie2ikqu4
+from . import _relu_cpu_6261c06
+ops = torch.ops._relu_cpu_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cpu_smcctie2ikqu4::{op_name}"
+    return f"_relu_cpu_6261c06::{op_name}"

build/torch210-cxx11-cpu-x86_64-linux/{_relu_cpu_smcctie2ikqu4.abi3.so → _relu_cpu_6261c06.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:15d0e318702082b3d2aa29dcdd5e64cd8f3b3a15c1bd8b9310f2ee2e43a5482e
-size 1778104
+oid sha256:9bc51be4e362c70be9c87e4e3e8464904547c487496ce8a0ebe552c5fa6effab
+size 1778080

build/torch210-cxx11-cpu-x86_64-linux/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch210-cxx11-cpu-x86_64-linux/metadata.json

@@ -1,4 +1,5 @@
 {
   "version": 1,
+  "license": "Apache-2.0",
   "python-depends": []
 }

build/torch210-cxx11-cu126-x86_64-linux/__init__.py

@@ -4,9 +4,13 @@ import torch
 
 from ._ops import ops
 
+from . import layers
+
 
 def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
     if out is None:
         out = torch.empty_like(x)
     ops.relu(out, x)
-    return out
+    return out
+
+__all__ = ["relu", "layers"]

build/torch210-cxx11-cu126-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cuda_byb5bdzb6z5zm
-ops = torch.ops._relu_cuda_byb5bdzb6z5zm
+from . import _relu_cuda_6261c06
+ops = torch.ops._relu_cuda_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cuda_byb5bdzb6z5zm::{op_name}"
+    return f"_relu_cuda_6261c06::{op_name}"

build/torch210-cxx11-cu126-x86_64-linux/{_relu_cuda_byb5bdzb6z5zm.abi3.so → _relu_cuda_6261c06.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:628fca28e54413192316cd014179733076bf926d757ec04eac79650dc2c562d3
-size 2019904
+oid sha256:b3aaf0a90799a5102aba64409350132a8bba560a8816e00be51a8b5f41f9475d
+size 2019880

build/torch210-cxx11-cu126-x86_64-linux/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch210-cxx11-cu126-x86_64-linux/metadata.json

@@ -1,4 +1,18 @@
 {
   "version": 1,
-  "python-depends": []
-}
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "7.0",
+      "7.2",
+      "7.5",
+      "8.0",
+      "8.6",
+      "8.7",
+      "8.9",
+      "9.0+PTX"
+    ]
+  }
+}

build/torch210-cxx11-cu128-x86_64-linux/__init__.py

@@ -4,9 +4,13 @@ import torch
 
 from ._ops import ops
 
+from . import layers
+
 
 def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
     if out is None:
         out = torch.empty_like(x)
     ops.relu(out, x)
-    return out
+    return out
+
+__all__ = ["relu", "layers"]

build/torch210-cxx11-cu128-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cuda_ohbj3nuuoamci
-ops = torch.ops._relu_cuda_ohbj3nuuoamci
+from . import _relu_cuda_6261c06
+ops = torch.ops._relu_cuda_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cuda_ohbj3nuuoamci::{op_name}"
+    return f"_relu_cuda_6261c06::{op_name}"

build/torch210-cxx11-cu128-x86_64-linux/{_relu_cuda_ohbj3nuuoamci.abi3.so → _relu_cuda_6261c06.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8eec7269c3936d34e2b5208a9dbe3b3b234c2a0aa97f6bb22ba0df83da511f4e
-size 2111856
+oid sha256:1e433d2b9bf2ec78c5567fce9b71cef81fc0fe3e5ce5c68ed35774fb4bfc3c33
+size 2111840

build/torch210-cxx11-cu128-x86_64-linux/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch210-cxx11-cu128-x86_64-linux/metadata.json

@@ -1,4 +1,21 @@
 {
   "version": 1,
-  "python-depends": []
-}
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "10.0",
+      "10.1",
+      "12.0+PTX",
+      "7.0",
+      "7.2",
+      "7.5",
+      "8.0",
+      "8.6",
+      "8.7",
+      "8.9",
+      "9.0"
+    ]
+  }
+}

build/torch210-cxx11-cu130-x86_64-linux/__init__.py

@@ -4,9 +4,13 @@ import torch
 
 from ._ops import ops
 
+from . import layers
+
 
 def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
     if out is None:
         out = torch.empty_like(x)
     ops.relu(out, x)
-    return out
+    return out
+
+__all__ = ["relu", "layers"]

build/torch210-cxx11-cu130-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cuda_oheoc6gkfjkwm
-ops = torch.ops._relu_cuda_oheoc6gkfjkwm
+from . import _relu_cuda_6261c06
+ops = torch.ops._relu_cuda_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cuda_oheoc6gkfjkwm::{op_name}"
+    return f"_relu_cuda_6261c06::{op_name}"

build/torch210-cxx11-cu130-x86_64-linux/{_relu_cuda_oheoc6gkfjkwm.abi3.so → _relu_cuda_6261c06.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:01d13efe21c6ca11829cf5e1fc0cc48e2b77a365ebacfa3d37c1460471979f0b
-size 2129672
+oid sha256:7d44340251ab3a892a7c74890b06230810cca22518d174d620562ae216bc60ae
+size 2129656

build/torch210-cxx11-cu130-x86_64-linux/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch210-cxx11-cu130-x86_64-linux/metadata.json

@@ -1,4 +1,19 @@
 {
   "version": 1,
-  "python-depends": []
-}
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "10.0",
+      "11.0",
+      "12.0+PTX",
+      "7.5",
+      "8.0",
+      "8.6",
+      "8.7",
+      "8.9",
+      "9.0"
+    ]
+  }
+}

build/torch210-cxx11-rocm70-x86_64-linux/__init__.py

@@ -4,9 +4,13 @@ import torch
 
 from ._ops import ops
 
+from . import layers
+
 
 def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
     if out is None:
         out = torch.empty_like(x)
     ops.relu(out, x)
-    return out
+    return out
+
+__all__ = ["relu", "layers"]

build/torch210-cxx11-rocm70-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_rocm_g773e4bf7332k
-ops = torch.ops._relu_rocm_g773e4bf7332k
+from . import _relu_rocm_6261c06
+ops = torch.ops._relu_rocm_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_rocm_g773e4bf7332k::{op_name}"
+    return f"_relu_rocm_6261c06::{op_name}"

build/torch210-cxx11-rocm70-x86_64-linux/_relu_rocm_6261c06.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:111ce943531a26f724e8c241b86959b2c65e247c1c3d89b0b5a8f7f910ed8d3f
+size 1990368

build/torch210-cxx11-rocm70-x86_64-linux/_relu_rocm_g773e4bf7332k.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b3a0a5621e558e37c57d96dc9dd467d1a48d142e07acfe6fe7339098ef7d88fa
-size 1990392

build/torch210-cxx11-rocm70-x86_64-linux/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch210-cxx11-rocm70-x86_64-linux/metadata.json

@@ -1,4 +1,17 @@
 {
   "version": 1,
-  "python-depends": []
-}
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "rocm",
+    "archs": [
+      "gfx1030",
+      "gfx1100",
+      "gfx1101",
+      "gfx906",
+      "gfx908",
+      "gfx90a",
+      "gfx942"
+    ]
+  }
+}

build/torch210-cxx11-rocm71-x86_64-linux/__init__.py

@@ -4,9 +4,13 @@ import torch
 
 from ._ops import ops
 
+from . import layers
+
 
 def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
     if out is None:
         out = torch.empty_like(x)
     ops.relu(out, x)
-    return out
+    return out
+
+__all__ = ["relu", "layers"]

build/torch210-cxx11-rocm71-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_rocm_ijhrndbhfiwtg
-ops = torch.ops._relu_rocm_ijhrndbhfiwtg
+from . import _relu_rocm_6261c06
+ops = torch.ops._relu_rocm_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_rocm_ijhrndbhfiwtg::{op_name}"
+    return f"_relu_rocm_6261c06::{op_name}"

build/torch210-cxx11-rocm71-x86_64-linux/_relu_rocm_6261c06.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c4c743ab2b2fc7cbf616579558ef2acbb30f9610f2ea076c63ddfc9e50c0c69b
+size 1990272

build/torch210-cxx11-rocm71-x86_64-linux/_relu_rocm_ijhrndbhfiwtg.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:12860f472b8ba796983a3693696b35280ae6a749233e4693d88572be022e962e
-size 1990296

build/torch210-cxx11-rocm71-x86_64-linux/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch210-cxx11-rocm71-x86_64-linux/metadata.json

@@ -1,4 +1,17 @@
 {
   "version": 1,
-  "python-depends": []
-}
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "rocm",
+    "archs": [
+      "gfx1030",
+      "gfx1100",
+      "gfx1101",
+      "gfx906",
+      "gfx908",
+      "gfx90a",
+      "gfx942"
+    ]
+  }
+}

build/torch210-cxx11-xpu20253-x86_64-linux/__init__.py

@@ -4,9 +4,13 @@ import torch
 
 from ._ops import ops
 
+from . import layers
+
 
 def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
     if out is None:
         out = torch.empty_like(x)
     ops.relu(out, x)
-    return out
+    return out
+
+__all__ = ["relu", "layers"]

build/torch210-cxx11-xpu20253-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_xpu_gnle2ptjfkifg
-ops = torch.ops._relu_xpu_gnle2ptjfkifg
+from . import _relu_xpu_6261c06
+ops = torch.ops._relu_xpu_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_xpu_gnle2ptjfkifg::{op_name}"
+    return f"_relu_xpu_6261c06::{op_name}"

build/torch210-cxx11-xpu20253-x86_64-linux/_relu_xpu_6261c06.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ccc014010a351d00431933062b5f385e6bf809b2eb5f6324bcd38ef7ab894a4
+size 2050448

build/torch210-cxx11-xpu20253-x86_64-linux/_relu_xpu_gnle2ptjfkifg.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7420cb6337e94e6131081a2b2eefd548990da151c007283ed0ba5f8003095687
-size 2050464

build/torch210-cxx11-xpu20253-x86_64-linux/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch210-cxx11-xpu20253-x86_64-linux/metadata.json

@@ -1,4 +1,5 @@
 {
   "version": 1,
+  "license": "Apache-2.0",
   "python-depends": []
 }

build/torch29-cxx11-cpu-x86_64-linux/__init__.py

@@ -4,9 +4,13 @@ import torch
 
 from ._ops import ops
 
+from . import layers
+
 
 def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
     if out is None:
         out = torch.empty_like(x)
     ops.relu(out, x)
-    return out
+    return out
+
+__all__ = ["relu", "layers"]

build/torch29-cxx11-cpu-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cpu_liz2pcyxsjqzq
-ops = torch.ops._relu_cpu_liz2pcyxsjqzq
+from . import _relu_cpu_6261c06
+ops = torch.ops._relu_cpu_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cpu_liz2pcyxsjqzq::{op_name}"
+    return f"_relu_cpu_6261c06::{op_name}"

build/torch29-cxx11-cpu-x86_64-linux/{_relu_cpu_liz2pcyxsjqzq.abi3.so → _relu_cpu_6261c06.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a2c59f561d7ff702ada015764f08651af54296dca20dafa731ede8c16bedaa07
-size 311648
+oid sha256:4e5f3b27de92bba3fdbb9bef157f6e15bcb9119581699420e1dca69f0c7cacce
+size 311616

build/torch29-cxx11-cpu-x86_64-linux/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch29-cxx11-cpu-x86_64-linux/metadata.json

@@ -1,4 +1,5 @@
 {
   "version": 1,
+  "license": "Apache-2.0",
   "python-depends": []
 }

build/torch29-cxx11-cu126-x86_64-linux/__init__.py

@@ -4,9 +4,13 @@ import torch
 
 from ._ops import ops
 
+from . import layers
+
 
 def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
     if out is None:
         out = torch.empty_like(x)
     ops.relu(out, x)
-    return out
+    return out
+
+__all__ = ["relu", "layers"]

build/torch29-cxx11-cu126-x86_64-linux/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cuda_udp2pzwonis42
-ops = torch.ops._relu_cuda_udp2pzwonis42
+from . import _relu_cuda_6261c06
+ops = torch.ops._relu_cuda_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_cuda_udp2pzwonis42::{op_name}"
+    return f"_relu_cuda_6261c06::{op_name}"

build/torch29-cxx11-cu126-x86_64-linux/_relu_cuda_6261c06.abi3.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ccb1d2b06fd0f7636eaa740b43937e557c1f07b47479b412b095089f49bc3d2
+size 2014200

build/torch29-cxx11-cu126-x86_64-linux/_relu_cuda_udp2pzwonis42.abi3.so

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7de615584690456b6ed2b89ce95611a9ea06e6368a81cddaa35f5cc00678b271
-size 2014224

build/torch29-cxx11-cu126-x86_64-linux/layers/__init__.py

@@ -0,0 +1,11 @@
+import torch
+import torch.nn as nn
+
+from .._ops import ops
+
+
+class ReLU(nn.Module):
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        out = torch.empty_like(x)
+        ops.relu(out, x)
+        return out

build/torch29-cxx11-cu126-x86_64-linux/metadata.json

@@ -1,4 +1,18 @@
 {
   "version": 1,
-  "python-depends": []
-}
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "7.0",
+      "7.2",
+      "7.5",
+      "8.0",
+      "8.6",
+      "8.7",
+      "8.9",
+      "9.0+PTX"
+    ]
+  }
+}