Build uploaded using `kernels`.

.gitattributes

@@ -249,3 +249,4 @@ build/torch210-cu128-x86_64-windows/_relu_cuda_bd0179a.pyd filter=lfs diff=lfs m
 build/torch210-xpu20253-x86_64-windows/_relu_xpu_bd0179a.pyd filter=lfs diff=lfs merge=lfs -text
 build/torch210-cu128-x86_64-windows/_relu_cuda_d91a431.pyd filter=lfs diff=lfs merge=lfs -text
 build/torch210-xpu20253-x86_64-windows/_relu_xpu_d91a431.pyd filter=lfs diff=lfs merge=lfs -text
+build/torch210-metal-aarch64-darwin/_relu_metal_6261c06.abi3.so filter=lfs diff=lfs merge=lfs -text

build/torch210-cpu-aarch64-darwin/__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-cpu-aarch64-darwin/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cpu_ushyb5anekdvi
-ops = torch.ops._relu_cpu_ushyb5anekdvi
+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_ushyb5anekdvi::{op_name}"
+    return f"_relu_cpu_6261c06::{op_name}"

build/torch210-cpu-aarch64-darwin/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-cpu-aarch64-darwin/metadata.json

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

build/torch210-metal-aarch64-darwin/__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-metal-aarch64-darwin/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_metal_jcelz7hn6aaa6
-ops = torch.ops._relu_metal_jcelz7hn6aaa6
+from . import _relu_metal_6261c06
+ops = torch.ops._relu_metal_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_metal_jcelz7hn6aaa6::{op_name}"
+    return f"_relu_metal_6261c06::{op_name}"

build/torch210-metal-aarch64-darwin/{_relu_metal_jcelz7hn6aaa6.abi3.so → _relu_metal_6261c06.abi3.so}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1a0fe1740e499f0a0b9c822f915ee6e85f89551bee553e9e543f4f802e82f667
-size 100736
+oid sha256:8dfb5099b945261311ae3e457b78b0acd63463c84f73246c2492d19698cfaaae
+size 100680

build/torch210-metal-aarch64-darwin/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-metal-aarch64-darwin/metadata.json

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

build/torch29-cpu-aarch64-darwin/__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-cpu-aarch64-darwin/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_cpu_mt2uwrso3zuhs
-ops = torch.ops._relu_cpu_mt2uwrso3zuhs
+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_mt2uwrso3zuhs::{op_name}"
+    return f"_relu_cpu_6261c06::{op_name}"

build/torch29-cpu-aarch64-darwin/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-cpu-aarch64-darwin/metadata.json

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

build/torch29-metal-aarch64-darwin/__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-metal-aarch64-darwin/_ops.py

@@ -1,9 +1,9 @@
 import torch
-from . import _relu_metal_zmejuz557luqe
-ops = torch.ops._relu_metal_zmejuz557luqe
+from . import _relu_metal_6261c06
+ops = torch.ops._relu_metal_6261c06
 
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_relu_metal_zmejuz557luqe::{op_name}"
+    return f"_relu_metal_6261c06::{op_name}"

build/torch29-metal-aarch64-darwin/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-metal-aarch64-darwin/metadata.json

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