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kernels-bot commited on Jul 3

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.gitattributes +9 -0
build/torch211-cxx11-cu126-x86_64-linux/_ops.py +3 -3
build/torch211-cxx11-cu126-x86_64-linux/{_tinygrad_rms_cuda_d3f773f.abi3.so → _tinygrad_rms_cuda_2e4b976.abi3.so} +2 -2
build/torch211-cxx11-cu126-x86_64-linux/metadata.json +3 -3
build/torch211-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -1
build/torch211-cxx11-cu128-x86_64-linux/_ops.py +3 -3
build/torch211-cxx11-cu128-x86_64-linux/{_tinygrad_rms_cuda_d3f773f.abi3.so → _tinygrad_rms_cuda_2e4b976.abi3.so} +2 -2
build/torch211-cxx11-cu128-x86_64-linux/metadata.json +3 -3
build/torch211-cxx11-cu128-x86_64-linux/metadata.json.sigstore +1 -1
build/torch211-cxx11-cu130-x86_64-linux/_ops.py +3 -3
build/torch211-cxx11-cu130-x86_64-linux/{_tinygrad_rms_cuda_d3f773f.abi3.so → _tinygrad_rms_cuda_2e4b976.abi3.so} +2 -2
build/torch211-cxx11-cu130-x86_64-linux/metadata.json +5 -4
build/torch211-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -1
build/torch212-cxx11-cu126-x86_64-linux/_ops.py +3 -3
build/torch212-cxx11-cu126-x86_64-linux/{_tinygrad_rms_cuda_d3f773f.abi3.so → _tinygrad_rms_cuda_2e4b976.abi3.so} +2 -2
build/torch212-cxx11-cu126-x86_64-linux/metadata.json +3 -3
build/torch212-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -1
build/torch212-cxx11-cu130-x86_64-linux/_ops.py +3 -3
build/torch212-cxx11-cu130-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so +3 -0
build/torch212-cxx11-cu130-x86_64-linux/_tinygrad_rms_cuda_d3f773f.abi3.so +0 -3
build/torch212-cxx11-cu130-x86_64-linux/metadata.json +5 -4
build/torch212-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -1
build/torch212-cxx11-cu132-x86_64-linux/_ops.py +3 -3
build/torch212-cxx11-cu132-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so +3 -0
build/torch212-cxx11-cu132-x86_64-linux/_tinygrad_rms_cuda_d3f773f.abi3.so +0 -3
build/torch212-cxx11-cu132-x86_64-linux/metadata.json +5 -4
build/torch212-cxx11-cu132-x86_64-linux/metadata.json.sigstore +1 -1
build/torch213-cxx11-cu126-x86_64-linux/__init__.py +63 -0
build/torch213-cxx11-cu126-x86_64-linux/_ops.py +9 -0
build/torch213-cxx11-cu126-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so +3 -0
build/torch213-cxx11-cu126-x86_64-linux/metadata.json +29 -0
build/torch213-cxx11-cu126-x86_64-linux/metadata.json.sigstore +1 -0
build/torch213-cxx11-cu126-x86_64-linux/tinygrad_rms/__init__.py +26 -0
build/torch213-cxx11-cu130-x86_64-linux/__init__.py +63 -0
build/torch213-cxx11-cu130-x86_64-linux/_ops.py +9 -0
build/torch213-cxx11-cu130-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so +3 -0
build/torch213-cxx11-cu130-x86_64-linux/metadata.json +31 -0
build/torch213-cxx11-cu130-x86_64-linux/metadata.json.sigstore +1 -0
build/torch213-cxx11-cu130-x86_64-linux/tinygrad_rms/__init__.py +26 -0
build/torch213-cxx11-cu132-x86_64-linux/__init__.py +63 -0
build/torch213-cxx11-cu132-x86_64-linux/_ops.py +9 -0
build/torch213-cxx11-cu132-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so +3 -0
build/torch213-cxx11-cu132-x86_64-linux/metadata.json +31 -0
build/torch213-cxx11-cu132-x86_64-linux/metadata.json.sigstore +1 -0
build/torch213-cxx11-cu132-x86_64-linux/tinygrad_rms/__init__.py +26 -0

.gitattributes CHANGED Viewed

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 build/torch213-cxx11-cu132-aarch64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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+build/torch211-cxx11-cu130-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
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+build/torch213-cxx11-cu126-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch213-cxx11-cu130-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch213-cxx11-cu132-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so filter=lfs diff=lfs merge=lfs -text

build/torch211-cxx11-cu126-x86_64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _tinygrad_rms_cuda_d3f773f
-ops = torch.ops._tinygrad_rms_cuda_d3f773f
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_tinygrad_rms_cuda_d3f773f::{op_name}"

 import torch
+from . import _tinygrad_rms_cuda_2e4b976
+ops = torch.ops._tinygrad_rms_cuda_2e4b976
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_tinygrad_rms_cuda_2e4b976::{op_name}"

build/torch211-cxx11-cu126-x86_64-linux/{_tinygrad_rms_cuda_d3f773f.abi3.so → _tinygrad_rms_cuda_2e4b976.abi3.so} RENAMED Viewed

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build/torch211-cxx11-cu126-x86_64-linux/metadata.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "name": "tinygrad-rms",
-  "id": "_tinygrad_rms_cuda_d3f773f",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
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   }

 {
   "name": "tinygrad-rms",
+  "id": "_tinygrad_rms_cuda_2e4b976",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
     "algorithm": "sha256",
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build/torch211-cxx11-cu128-x86_64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _tinygrad_rms_cuda_d3f773f
-ops = torch.ops._tinygrad_rms_cuda_d3f773f
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_tinygrad_rms_cuda_d3f773f::{op_name}"

 import torch
+from . import _tinygrad_rms_cuda_2e4b976
+ops = torch.ops._tinygrad_rms_cuda_2e4b976
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_tinygrad_rms_cuda_2e4b976::{op_name}"

build/torch211-cxx11-cu128-x86_64-linux/{_tinygrad_rms_cuda_d3f773f.abi3.so → _tinygrad_rms_cuda_2e4b976.abi3.so} RENAMED Viewed

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-size 2232880

 version https://git-lfs.github.com/spec/v1
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+size 300264

build/torch211-cxx11-cu128-x86_64-linux/metadata.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "name": "tinygrad-rms",
-  "id": "_tinygrad_rms_cuda_d3f773f",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
@@ -24,8 +24,8 @@
     "algorithm": "sha256",
     "files": {
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-      "_ops.py": "yFhcwm5ekAWGNOc2V5Xzo13d8cmA5mr6ltUnHsoP4m0=",
-      "_tinygrad_rms_cuda_d3f773f.abi3.so": "mPkwtJWx9nsS+DkSSU99bQ/vBwy5VEyU+VV2b23JDrI=",
       "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
   }

 {
   "name": "tinygrad-rms",
+  "id": "_tinygrad_rms_cuda_2e4b976",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
     "algorithm": "sha256",
     "files": {
       "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
+      "_ops.py": "3fYFpcziywPtncwiq1Jv0/9/D/E26wkYC4jIZ7AmZHs=",
+      "_tinygrad_rms_cuda_2e4b976.abi3.so": "AEyO1jathpwNPZ/wfZCkuGsVNIIUkzB3dJKitwCjtRI=",
       "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
   }

build/torch211-cxx11-cu128-x86_64-linux/metadata.json.sigstore CHANGED Viewed

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build/torch211-cxx11-cu130-x86_64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _tinygrad_rms_cuda_d3f773f
-ops = torch.ops._tinygrad_rms_cuda_d3f773f
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_tinygrad_rms_cuda_d3f773f::{op_name}"

 import torch
+from . import _tinygrad_rms_cuda_2e4b976
+ops = torch.ops._tinygrad_rms_cuda_2e4b976
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_tinygrad_rms_cuda_2e4b976::{op_name}"

build/torch211-cxx11-cu130-x86_64-linux/{_tinygrad_rms_cuda_d3f773f.abi3.so → _tinygrad_rms_cuda_2e4b976.abi3.so} RENAMED Viewed

@@ -1,3 +1,3 @@
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-size 2230952

 version https://git-lfs.github.com/spec/v1
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+size 330864

build/torch211-cxx11-cu130-x86_64-linux/metadata.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "name": "tinygrad-rms",
-  "id": "_tinygrad_rms_cuda_d3f773f",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
@@ -9,7 +9,8 @@
     "archs": [
       "10.0",
       "11.0",
-      "12.0+PTX",
       "7.5",
       "8.0",
       "8.6",
@@ -22,8 +23,8 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
-      "_ops.py": "yFhcwm5ekAWGNOc2V5Xzo13d8cmA5mr6ltUnHsoP4m0=",
-      "_tinygrad_rms_cuda_d3f773f.abi3.so": "4RZ2jjz87v6oqyopSfNt8V9oAtUvq/cnWTNW3Vjxfoc=",
       "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
   }

 {
   "name": "tinygrad-rms",
+  "id": "_tinygrad_rms_cuda_2e4b976",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
     "archs": [
       "10.0",
       "11.0",
+      "12.0",
+      "12.1+PTX",
       "7.5",
       "8.0",
       "8.6",
     "algorithm": "sha256",
     "files": {
       "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
+      "_ops.py": "3fYFpcziywPtncwiq1Jv0/9/D/E26wkYC4jIZ7AmZHs=",
+      "_tinygrad_rms_cuda_2e4b976.abi3.so": "7hr7YLGdlSp0iYi4n7jOlvH7LA0oDhnmO5qZkimWuUk=",
       "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
   }

build/torch211-cxx11-cu130-x86_64-linux/metadata.json.sigstore CHANGED Viewed

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build/torch212-cxx11-cu126-x86_64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _tinygrad_rms_cuda_d3f773f
-ops = torch.ops._tinygrad_rms_cuda_d3f773f
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_tinygrad_rms_cuda_d3f773f::{op_name}"

 import torch
+from . import _tinygrad_rms_cuda_2e4b976
+ops = torch.ops._tinygrad_rms_cuda_2e4b976
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_tinygrad_rms_cuda_2e4b976::{op_name}"

build/torch212-cxx11-cu126-x86_64-linux/{_tinygrad_rms_cuda_d3f773f.abi3.so → _tinygrad_rms_cuda_2e4b976.abi3.so} RENAMED Viewed

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+size 236064

build/torch212-cxx11-cu126-x86_64-linux/metadata.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "name": "tinygrad-rms",
-  "id": "_tinygrad_rms_cuda_d3f773f",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
@@ -21,8 +21,8 @@
     "algorithm": "sha256",
     "files": {
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-      "_ops.py": "yFhcwm5ekAWGNOc2V5Xzo13d8cmA5mr6ltUnHsoP4m0=",
-      "_tinygrad_rms_cuda_d3f773f.abi3.so": "49BViVGZoKDSJIgcp8xSLNQTsxzEa9NbfnDyJhGmiBk=",
       "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
   }

 {
   "name": "tinygrad-rms",
+  "id": "_tinygrad_rms_cuda_2e4b976",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
     "algorithm": "sha256",
     "files": {
       "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
+      "_ops.py": "3fYFpcziywPtncwiq1Jv0/9/D/E26wkYC4jIZ7AmZHs=",
+      "_tinygrad_rms_cuda_2e4b976.abi3.so": "ToGaYXELAXyd4WjKBxwQWcfkZVXftOnwkWxomn2iBE8=",
       "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
   }

build/torch212-cxx11-cu126-x86_64-linux/metadata.json.sigstore CHANGED Viewed

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build/torch212-cxx11-cu130-x86_64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _tinygrad_rms_cuda_d3f773f
-ops = torch.ops._tinygrad_rms_cuda_d3f773f
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_tinygrad_rms_cuda_d3f773f::{op_name}"

 import torch
+from . import _tinygrad_rms_cuda_2e4b976
+ops = torch.ops._tinygrad_rms_cuda_2e4b976
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_tinygrad_rms_cuda_2e4b976::{op_name}"

build/torch212-cxx11-cu130-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

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+oid sha256:478c5092eaa8fd03f012b7b978d2b901cec69cab8cd81e773c27e6ddc9dd1577
+size 336808

build/torch212-cxx11-cu130-x86_64-linux/_tinygrad_rms_cuda_d3f773f.abi3.so DELETED Viewed

@@ -1,3 +0,0 @@
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build/torch212-cxx11-cu130-x86_64-linux/metadata.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "name": "tinygrad-rms",
-  "id": "_tinygrad_rms_cuda_d3f773f",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
@@ -9,7 +9,8 @@
     "archs": [
       "10.0",
       "11.0",
-      "12.0+PTX",
       "7.5",
       "8.0",
       "8.6",
@@ -22,8 +23,8 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
-      "_ops.py": "yFhcwm5ekAWGNOc2V5Xzo13d8cmA5mr6ltUnHsoP4m0=",
-      "_tinygrad_rms_cuda_d3f773f.abi3.so": "63MshYeY/KHPZ/FLtzLjno69XgaBnSw2u5ONHY+ziC4=",
       "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
   }

 {
   "name": "tinygrad-rms",
+  "id": "_tinygrad_rms_cuda_2e4b976",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
     "archs": [
       "10.0",
       "11.0",
+      "12.0",
+      "12.1+PTX",
       "7.5",
       "8.0",
       "8.6",
     "algorithm": "sha256",
     "files": {
       "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
+      "_ops.py": "3fYFpcziywPtncwiq1Jv0/9/D/E26wkYC4jIZ7AmZHs=",
+      "_tinygrad_rms_cuda_2e4b976.abi3.so": "R4xQkuqo/QPwEre5eNK5Ac7GnKuM2B53PCfm3cndFXc=",
       "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
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build/torch212-cxx11-cu130-x86_64-linux/metadata.json.sigstore CHANGED Viewed

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build/torch212-cxx11-cu132-x86_64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _tinygrad_rms_cuda_d3f773f
-ops = torch.ops._tinygrad_rms_cuda_d3f773f
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_tinygrad_rms_cuda_d3f773f::{op_name}"

 import torch
+from . import _tinygrad_rms_cuda_2e4b976
+ops = torch.ops._tinygrad_rms_cuda_2e4b976
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_tinygrad_rms_cuda_2e4b976::{op_name}"

build/torch212-cxx11-cu132-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

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+size 404728

build/torch212-cxx11-cu132-x86_64-linux/_tinygrad_rms_cuda_d3f773f.abi3.so DELETED Viewed

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build/torch212-cxx11-cu132-x86_64-linux/metadata.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "name": "tinygrad-rms",
-  "id": "_tinygrad_rms_cuda_d3f773f",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
@@ -9,7 +9,8 @@
     "archs": [
       "10.0",
       "11.0",
-      "12.0+PTX",
       "7.5",
       "8.0",
       "8.6",
@@ -22,8 +23,8 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
-      "_ops.py": "yFhcwm5ekAWGNOc2V5Xzo13d8cmA5mr6ltUnHsoP4m0=",
-      "_tinygrad_rms_cuda_d3f773f.abi3.so": "mwnNezMShVlEgB3HpNGMLwKbTQp6LmbE02GmbLMtWLo=",
       "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
   }

 {
   "name": "tinygrad-rms",
+  "id": "_tinygrad_rms_cuda_2e4b976",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
     "archs": [
       "10.0",
       "11.0",
+      "12.0",
+      "12.1+PTX",
       "7.5",
       "8.0",
       "8.6",
     "algorithm": "sha256",
     "files": {
       "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
+      "_ops.py": "3fYFpcziywPtncwiq1Jv0/9/D/E26wkYC4jIZ7AmZHs=",
+      "_tinygrad_rms_cuda_2e4b976.abi3.so": "E22gFFHSUetdWMV93iva1V4H7jbi4k7A07Z/EV1Y0gY=",
       "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
   }

build/torch212-cxx11-cu132-x86_64-linux/metadata.json.sigstore CHANGED Viewed

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build/torch213-cxx11-cu126-x86_64-linux/__init__.py ADDED Viewed

	@@ -0,0 +1,63 @@

+from typing import Optional, Tuple
+import torch
+from ._ops import ops
+def tinygrad_rms_norm(
+    x: torch.Tensor,
+    epsilon: float = 1e-6,
+    out: Optional[torch.Tensor] = None,
+) -> Tuple[torch.Tensor, torch.Tensor]:
+    """
+    Compute RMSNorm using tinygrad-style CUDA kernels.
+    RMSNorm(x) = x * (1 / sqrt(mean(x^2) + epsilon))
+    This implementation uses a two-kernel approach:
+    1. Compute 1/sqrt(mean(x^2) + epsilon) for each row
+    2. Multiply input by the computed factor
+    Args:
+        x: Input tensor of shape (..., hidden_size)
+        epsilon: Small constant for numerical stability
+        out: Optional pre-allocated output tensor
+    Returns:
+        Tuple of (output tensor, rms_inv tensor)
+    """
+    if out is None:
+        out = torch.empty_like(x)
+    hidden_size = x.size(-1)
+    num_rows = x.numel() // hidden_size
+    rms_inv = torch.empty(num_rows, dtype=x.dtype, device=x.device)
+    ops.tinygrad_rms_norm(out, rms_inv, x, epsilon)
+    return out, rms_inv
+def tinygrad_rms_norm_simple(
+    x: torch.Tensor,
+    epsilon: float = 1e-6,
+    out: Optional[torch.Tensor] = None,
+) -> torch.Tensor:
+    """
+    Compute RMSNorm using tinygrad-style CUDA kernels.
+    This is a simpler interface that only returns the normalized output.
+    Args:
+        x: Input tensor of shape (..., hidden_size)
+        epsilon: Small constant for numerical stability
+        out: Optional pre-allocated output tensor
+    Returns:
+        Normalized output tensor
+    """
+    if out is None:
+        out = torch.empty_like(x)
+    ops.tinygrad_rms_norm_inplace(out, x, epsilon)
+    return out

build/torch213-cxx11-cu126-x86_64-linux/_ops.py ADDED Viewed

	@@ -0,0 +1,9 @@

+import torch
+from . import _tinygrad_rms_cuda_2e4b976
+ops = torch.ops._tinygrad_rms_cuda_2e4b976
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_tinygrad_rms_cuda_2e4b976::{op_name}"

build/torch213-cxx11-cu126-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:17d3253e969217dddc3fde8f68420983c8461d72da03711ece9720b3261e5fe7
+size 240608

build/torch213-cxx11-cu126-x86_64-linux/metadata.json ADDED Viewed

	@@ -0,0 +1,29 @@

+{
+  "name": "tinygrad-rms",
+  "id": "_tinygrad_rms_cuda_2e4b976",
+  "version": 1,
+  "license": "MIT",
+  "python-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "7.0",
+      "7.2",
+      "7.5",
+      "8.0",
+      "8.6",
+      "8.7",
+      "8.9",
+      "9.0+PTX"
+    ]
+  },
+  "digest": {
+    "algorithm": "sha256",
+    "files": {
+      "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
+      "_ops.py": "3fYFpcziywPtncwiq1Jv0/9/D/E26wkYC4jIZ7AmZHs=",
+      "_tinygrad_rms_cuda_2e4b976.abi3.so": "F9MlPpaSF93cP96PaEIJg8hGHXLaA3EezpcgsyYeX+c=",
+      "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
+    }
+  }
+}

build/torch213-cxx11-cu126-x86_64-linux/metadata.json.sigstore ADDED Viewed

	@@ -0,0 +1 @@

+ 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build/torch213-cxx11-cu126-x86_64-linux/tinygrad_rms/__init__.py ADDED Viewed

	@@ -0,0 +1,26 @@

+import ctypes
+import importlib.util
+import sys
+from pathlib import Path
+from types import ModuleType
+def _import_from_path(file_path: Path) -> ModuleType:
+    # We cannot use the module name as-is, after adding it to `sys.modules`,
+    # it would also be used for other imports. So, we make a module name that
+    # depends on the path for it to be unique using the hex-encoded hash of
+    # the path.
+    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
+    module_name = path_hash
+    spec = importlib.util.spec_from_file_location(module_name, file_path)
+    if spec is None:
+        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
+    module = importlib.util.module_from_spec(spec)
+    if module is None:
+        raise ImportError(f"Cannot load module {module_name} from spec")
+    sys.modules[module_name] = module
+    spec.loader.exec_module(module)  # type: ignore
+    return module
+globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch213-cxx11-cu130-x86_64-linux/__init__.py ADDED Viewed

	@@ -0,0 +1,63 @@

+from typing import Optional, Tuple
+import torch
+from ._ops import ops
+def tinygrad_rms_norm(
+    x: torch.Tensor,
+    epsilon: float = 1e-6,
+    out: Optional[torch.Tensor] = None,
+) -> Tuple[torch.Tensor, torch.Tensor]:
+    """
+    Compute RMSNorm using tinygrad-style CUDA kernels.
+    RMSNorm(x) = x * (1 / sqrt(mean(x^2) + epsilon))
+    This implementation uses a two-kernel approach:
+    1. Compute 1/sqrt(mean(x^2) + epsilon) for each row
+    2. Multiply input by the computed factor
+    Args:
+        x: Input tensor of shape (..., hidden_size)
+        epsilon: Small constant for numerical stability
+        out: Optional pre-allocated output tensor
+    Returns:
+        Tuple of (output tensor, rms_inv tensor)
+    """
+    if out is None:
+        out = torch.empty_like(x)
+    hidden_size = x.size(-1)
+    num_rows = x.numel() // hidden_size
+    rms_inv = torch.empty(num_rows, dtype=x.dtype, device=x.device)
+    ops.tinygrad_rms_norm(out, rms_inv, x, epsilon)
+    return out, rms_inv
+def tinygrad_rms_norm_simple(
+    x: torch.Tensor,
+    epsilon: float = 1e-6,
+    out: Optional[torch.Tensor] = None,
+) -> torch.Tensor:
+    """
+    Compute RMSNorm using tinygrad-style CUDA kernels.
+    This is a simpler interface that only returns the normalized output.
+    Args:
+        x: Input tensor of shape (..., hidden_size)
+        epsilon: Small constant for numerical stability
+        out: Optional pre-allocated output tensor
+    Returns:
+        Normalized output tensor
+    """
+    if out is None:
+        out = torch.empty_like(x)
+    ops.tinygrad_rms_norm_inplace(out, x, epsilon)
+    return out

build/torch213-cxx11-cu130-x86_64-linux/_ops.py ADDED Viewed

	@@ -0,0 +1,9 @@

+import torch
+from . import _tinygrad_rms_cuda_2e4b976
+ops = torch.ops._tinygrad_rms_cuda_2e4b976
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_tinygrad_rms_cuda_2e4b976::{op_name}"

build/torch213-cxx11-cu130-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:f031480cd921905e8503fd588ba288b957f79005066867b04068b646e751fe2c
+size 337160

build/torch213-cxx11-cu130-x86_64-linux/metadata.json ADDED Viewed

	@@ -0,0 +1,31 @@

+{
+  "name": "tinygrad-rms",
+  "id": "_tinygrad_rms_cuda_2e4b976",
+  "version": 1,
+  "license": "MIT",
+  "python-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "10.0",
+      "11.0",
+      "12.0",
+      "12.1+PTX",
+      "7.5",
+      "8.0",
+      "8.6",
+      "8.7",
+      "8.9",
+      "9.0"
+    ]
+  },
+  "digest": {
+    "algorithm": "sha256",
+    "files": {
+      "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
+      "_ops.py": "3fYFpcziywPtncwiq1Jv0/9/D/E26wkYC4jIZ7AmZHs=",
+      "_tinygrad_rms_cuda_2e4b976.abi3.so": "8DFIDNkhkF6FA/1Yi6KIuVf3kAUGaGewQGi2RudR/iw=",
+      "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
+    }
+  }
+}

build/torch213-cxx11-cu130-x86_64-linux/metadata.json.sigstore ADDED Viewed

	@@ -0,0 +1 @@

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build/torch213-cxx11-cu130-x86_64-linux/tinygrad_rms/__init__.py ADDED Viewed

	@@ -0,0 +1,26 @@

+import ctypes
+import importlib.util
+import sys
+from pathlib import Path
+from types import ModuleType
+def _import_from_path(file_path: Path) -> ModuleType:
+    # We cannot use the module name as-is, after adding it to `sys.modules`,
+    # it would also be used for other imports. So, we make a module name that
+    # depends on the path for it to be unique using the hex-encoded hash of
+    # the path.
+    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
+    module_name = path_hash
+    spec = importlib.util.spec_from_file_location(module_name, file_path)
+    if spec is None:
+        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
+    module = importlib.util.module_from_spec(spec)
+    if module is None:
+        raise ImportError(f"Cannot load module {module_name} from spec")
+    sys.modules[module_name] = module
+    spec.loader.exec_module(module)  # type: ignore
+    return module
+globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))

build/torch213-cxx11-cu132-x86_64-linux/__init__.py ADDED Viewed

	@@ -0,0 +1,63 @@

+from typing import Optional, Tuple
+import torch
+from ._ops import ops
+def tinygrad_rms_norm(
+    x: torch.Tensor,
+    epsilon: float = 1e-6,
+    out: Optional[torch.Tensor] = None,
+) -> Tuple[torch.Tensor, torch.Tensor]:
+    """
+    Compute RMSNorm using tinygrad-style CUDA kernels.
+    RMSNorm(x) = x * (1 / sqrt(mean(x^2) + epsilon))
+    This implementation uses a two-kernel approach:
+    1. Compute 1/sqrt(mean(x^2) + epsilon) for each row
+    2. Multiply input by the computed factor
+    Args:
+        x: Input tensor of shape (..., hidden_size)
+        epsilon: Small constant for numerical stability
+        out: Optional pre-allocated output tensor
+    Returns:
+        Tuple of (output tensor, rms_inv tensor)
+    """
+    if out is None:
+        out = torch.empty_like(x)
+    hidden_size = x.size(-1)
+    num_rows = x.numel() // hidden_size
+    rms_inv = torch.empty(num_rows, dtype=x.dtype, device=x.device)
+    ops.tinygrad_rms_norm(out, rms_inv, x, epsilon)
+    return out, rms_inv
+def tinygrad_rms_norm_simple(
+    x: torch.Tensor,
+    epsilon: float = 1e-6,
+    out: Optional[torch.Tensor] = None,
+) -> torch.Tensor:
+    """
+    Compute RMSNorm using tinygrad-style CUDA kernels.
+    This is a simpler interface that only returns the normalized output.
+    Args:
+        x: Input tensor of shape (..., hidden_size)
+        epsilon: Small constant for numerical stability
+        out: Optional pre-allocated output tensor
+    Returns:
+        Normalized output tensor
+    """
+    if out is None:
+        out = torch.empty_like(x)
+    ops.tinygrad_rms_norm_inplace(out, x, epsilon)
+    return out

build/torch213-cxx11-cu132-x86_64-linux/_ops.py ADDED Viewed

	@@ -0,0 +1,9 @@

+import torch
+from . import _tinygrad_rms_cuda_2e4b976
+ops = torch.ops._tinygrad_rms_cuda_2e4b976
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_tinygrad_rms_cuda_2e4b976::{op_name}"

build/torch213-cxx11-cu132-x86_64-linux/_tinygrad_rms_cuda_2e4b976.abi3.so ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:1f2f1255c954c8f7d7ea1e3e5f01772cd6a77f4fdfaffdc68931bbe72f0c70a3
+size 405072

build/torch213-cxx11-cu132-x86_64-linux/metadata.json ADDED Viewed

	@@ -0,0 +1,31 @@

+{
+  "name": "tinygrad-rms",
+  "id": "_tinygrad_rms_cuda_2e4b976",
+  "version": 1,
+  "license": "MIT",
+  "python-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "10.0",
+      "11.0",
+      "12.0",
+      "12.1+PTX",
+      "7.5",
+      "8.0",
+      "8.6",
+      "8.7",
+      "8.9",
+      "9.0"
+    ]
+  },
+  "digest": {
+    "algorithm": "sha256",
+    "files": {
+      "__init__.py": "0dfi4qiWxuB1He7Tox2pesdhYAHIYSGt2ftn9Skrj68=",
+      "_ops.py": "3fYFpcziywPtncwiq1Jv0/9/D/E26wkYC4jIZ7AmZHs=",
+      "_tinygrad_rms_cuda_2e4b976.abi3.so": "Hy8SVclUyPfX6h4+XwF3LNanf0/fr/3GiTG75y8McKM=",
+      "tinygrad_rms/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
+    }
+  }
+}

build/torch213-cxx11-cu132-x86_64-linux/metadata.json.sigstore ADDED Viewed

	@@ -0,0 +1 @@

+ 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build/torch213-cxx11-cu132-x86_64-linux/tinygrad_rms/__init__.py ADDED Viewed

	@@ -0,0 +1,26 @@

+import ctypes
+import importlib.util
+import sys
+from pathlib import Path
+from types import ModuleType
+def _import_from_path(file_path: Path) -> ModuleType:
+    # We cannot use the module name as-is, after adding it to `sys.modules`,
+    # it would also be used for other imports. So, we make a module name that
+    # depends on the path for it to be unique using the hex-encoded hash of
+    # the path.
+    path_hash = "{:x}".format(ctypes.c_size_t(hash(file_path.absolute())).value)
+    module_name = path_hash
+    spec = importlib.util.spec_from_file_location(module_name, file_path)
+    if spec is None:
+        raise ImportError(f"Cannot load spec for {module_name} from {file_path}")
+    module = importlib.util.module_from_spec(spec)
+    if module is None:
+        raise ImportError(f"Cannot load module {module_name} from spec")
+    sys.modules[module_name] = module
+    spec.loader.exec_module(module)  # type: ignore
+    return module
+globals().update(vars(_import_from_path(Path(__file__).parent.parent / "__init__.py")))