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kernels-bot commited on Jul 6

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cc90755

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1 Parent(s): 69eef31

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Files changed (16) hide show

.gitattributes +3 -0
build/torch211-cxx11-xpu20253-x86_64-linux/_ops.py +3 -3
build/torch211-cxx11-xpu20253-x86_64-linux/{_rmsnorm_xpu_73e36c1.abi3.so → _rmsnorm_xpu_4d56de6.abi3.so} +2 -2
build/torch211-cxx11-xpu20253-x86_64-linux/metadata.json +3 -3
build/torch211-cxx11-xpu20253-x86_64-linux/metadata.json.sigstore +1 -1
build/torch212-cxx11-xpu20253-x86_64-linux/_ops.py +3 -3
build/torch212-cxx11-xpu20253-x86_64-linux/{_rmsnorm_xpu_73e36c1.abi3.so → _rmsnorm_xpu_4d56de6.abi3.so} +2 -2
build/torch212-cxx11-xpu20253-x86_64-linux/metadata.json +3 -3
build/torch212-cxx11-xpu20253-x86_64-linux/metadata.json.sigstore +1 -1
build/torch213-cxx11-xpu20260-x86_64-linux/__init__.py +27 -0
build/torch213-cxx11-xpu20260-x86_64-linux/_ops.py +9 -0
build/torch213-cxx11-xpu20260-x86_64-linux/_rmsnorm_xpu_4d56de6.abi3.so +3 -0
build/torch213-cxx11-xpu20260-x86_64-linux/layers.py +59 -0
build/torch213-cxx11-xpu20260-x86_64-linux/metadata.json +20 -0
build/torch213-cxx11-xpu20260-x86_64-linux/metadata.json.sigstore +1 -0
build/torch213-cxx11-xpu20260-x86_64-linux/rmsnorm/__init__.py +26 -0

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 build/torch212-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_4d56de6.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch213-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_4d56de6.abi3.so filter=lfs diff=lfs merge=lfs -text

 build/torch211-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_4d56de6.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch212-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_4d56de6.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch213-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_4d56de6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cxx11-xpu20253-x86_64-linux/_rmsnorm_xpu_4d56de6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch212-cxx11-xpu20253-x86_64-linux/_rmsnorm_xpu_4d56de6.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch213-cxx11-xpu20260-x86_64-linux/_rmsnorm_xpu_4d56de6.abi3.so filter=lfs diff=lfs merge=lfs -text

build/torch211-cxx11-xpu20253-x86_64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _rmsnorm_xpu_73e36c1
-ops = torch.ops._rmsnorm_xpu_73e36c1
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_rmsnorm_xpu_73e36c1::{op_name}"

 import torch
+from . import _rmsnorm_xpu_4d56de6
+ops = torch.ops._rmsnorm_xpu_4d56de6
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_rmsnorm_xpu_4d56de6::{op_name}"

build/torch211-cxx11-xpu20253-x86_64-linux/{_rmsnorm_xpu_73e36c1.abi3.so → _rmsnorm_xpu_4d56de6.abi3.so} RENAMED Viewed

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build/torch211-cxx11-xpu20253-x86_64-linux/metadata.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "name": "rmsnorm",
-  "id": "_rmsnorm_xpu_73e36c1",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
@@ -11,8 +11,8 @@
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       "rmsnorm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }

 {
   "name": "rmsnorm",
+  "id": "_rmsnorm_xpu_4d56de6",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
     "algorithm": "sha256",
     "files": {
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build/torch212-cxx11-xpu20253-x86_64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _rmsnorm_xpu_73e36c1
-ops = torch.ops._rmsnorm_xpu_73e36c1
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_rmsnorm_xpu_73e36c1::{op_name}"

 import torch
+from . import _rmsnorm_xpu_4d56de6
+ops = torch.ops._rmsnorm_xpu_4d56de6
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_rmsnorm_xpu_4d56de6::{op_name}"

build/torch212-cxx11-xpu20253-x86_64-linux/{_rmsnorm_xpu_73e36c1.abi3.so → _rmsnorm_xpu_4d56de6.abi3.so} RENAMED Viewed

@@ -1,3 +1,3 @@
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-oid sha256:d55df4078446cac9a2915d965ffd06ae4d4c812a8ca3530dd80044a4d1f45b42
-size 104793048

 version https://git-lfs.github.com/spec/v1
+oid sha256:9eac519962b03912672bbd38ecf214c68f5188e29fe6da7b0dbd25b00ddb48c9
+size 102987824

build/torch212-cxx11-xpu20253-x86_64-linux/metadata.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "name": "rmsnorm",
-  "id": "_rmsnorm_xpu_73e36c1",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
@@ -11,8 +11,8 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "iY6XPtdZUgS8HizpndYTF+U/5kUmeLsADwCNM0UXMME=",
-      "_ops.py": "qdjxVAq8vqgzpm2sE5fFVMLSD/lNv1B2dgeMVjSbdsA=",
-      "_rmsnorm_xpu_73e36c1.abi3.so": "1V30B4RGysmikV2WX/0Grk1MgSqMo1MN2ABEpNH0W0I=",
       "layers.py": "8KMmxy30Olm/16XW7vvHAwWNVWcnA8js0nNuoOSGEO8=",
       "rmsnorm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }

 {
   "name": "rmsnorm",
+  "id": "_rmsnorm_xpu_4d56de6",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
     "algorithm": "sha256",
     "files": {
       "__init__.py": "iY6XPtdZUgS8HizpndYTF+U/5kUmeLsADwCNM0UXMME=",
+      "_ops.py": "UMkCnlGo/KedUMWPY63TGmnZrMbAu+NFdM750cpJERs=",
+      "_rmsnorm_xpu_4d56de6.abi3.so": "nqxRmWKwORJnK7047PIUxo9RiOKf5tp7Db0lsA3bSMk=",
       "layers.py": "8KMmxy30Olm/16XW7vvHAwWNVWcnA8js0nNuoOSGEO8=",
       "rmsnorm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }

build/torch212-cxx11-xpu20253-x86_64-linux/metadata.json.sigstore CHANGED Viewed

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build/torch213-cxx11-xpu20260-x86_64-linux/__init__.py ADDED Viewed

	@@ -0,0 +1,27 @@

+from . import layers
+from ._ops import ops
+def apply_rms_norm(input, weight, eps):
+    # ops.apply_rms_norm returns [output, rstd]
+    return ops.apply_rms_norm(
+            input,
+            weight,
+            eps,
+    )[0]
+def apply_rms_norm_backward(grad_output, input, weight, output, rstd, eps, input_requires_grad=True, weight_requires_grad=True):
+    return ops.apply_rms_norm_backward(
+            grad_output,
+            input,
+            weight,
+            output,
+            rstd,
+            eps,
+            input_requires_grad,
+            weight_requires_grad
+    )
+__all__ = ["layers", "apply_rms_norm_forward", "apply_rms_norm_backward"]

build/torch213-cxx11-xpu20260-x86_64-linux/_ops.py ADDED Viewed

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

+import torch
+from . import _rmsnorm_xpu_4d56de6
+ops = torch.ops._rmsnorm_xpu_4d56de6
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_rmsnorm_xpu_4d56de6::{op_name}"

build/torch213-cxx11-xpu20260-x86_64-linux/_rmsnorm_xpu_4d56de6.abi3.so ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:6eb802827a216adfa9560845134fa2731e144011bbc4c09979a33ea98db8eb88
+size 103342680

build/torch213-cxx11-xpu20260-x86_64-linux/layers.py ADDED Viewed

	@@ -0,0 +1,59 @@

+import torch
+from ._ops import ops
+class RMSNormFunction(torch.autograd.Function):
+    @staticmethod
+    def forward(ctx, hidden_states, weight, variance_epsilon):
+        ctx.variance_epsilon = variance_epsilon
+        output, rstd = ops.apply_rms_norm(hidden_states, weight, variance_epsilon)
+        ctx.save_for_backward(hidden_states, weight, output, rstd)
+        return output
+    @staticmethod
+    def backward(ctx, grad_output):
+        hidden_states, weight, output, rstd = ctx.saved_tensors
+        grads = ops.apply_rms_norm_backward(
+            grad_output,
+            hidden_states,
+            weight,
+            output,
+            rstd,
+            ctx.variance_epsilon,
+            ctx.needs_input_grad[0],
+            ctx.needs_input_grad[1]
+        )
+        return grads[0], grads[1], None
+class RMSNorm(torch.nn.Module):
+    """
+    RMSNorm module that uses the optimized LigerRMSNormFunction.
+    Args:
+        hidden_size (int): The size of the hidden dimension.
+        eps (float, optional): The epsilon value for numerical stability. Defaults to 1e-6.
+        offset (float, optional): Offset value to shift the weight tensor. Defaults to 0.0.
+        casting_mode (str, optional): The casting mode to use. Defaults to "llama".
+        in_place (bool, optional): Whether to modify dY in-place to store dX during backward. Defaults to True.
+    """
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states):
+        """
+        Apply RMS normalization to the input tensor.
+        Args:
+            hidden_states (torch.Tensor): Input tensor of shape (B, T, H) or (BxT, H)
+        Returns:
+            torch.Tensor: Normalized tensor of the same shape as input
+        """
+        return RMSNormFunction.apply(
+            hidden_states,
+            self.weight,
+            self.variance_epsilon,
+        )
+__all__ = ["RMSNorm"]

build/torch213-cxx11-xpu20260-x86_64-linux/metadata.json ADDED Viewed

	@@ -0,0 +1,20 @@

+{
+  "name": "rmsnorm",
+  "id": "_rmsnorm_xpu_4d56de6",
+  "version": 1,
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "backend": {
+    "type": "xpu"
+  },
+  "digest": {
+    "algorithm": "sha256",
+    "files": {
+      "__init__.py": "iY6XPtdZUgS8HizpndYTF+U/5kUmeLsADwCNM0UXMME=",
+      "_ops.py": "UMkCnlGo/KedUMWPY63TGmnZrMbAu+NFdM750cpJERs=",
+      "_rmsnorm_xpu_4d56de6.abi3.so": "brgCgnohat+pVghFE0+icx4UQBG7xMCZeaM+qY2464g=",
+      "layers.py": "8KMmxy30Olm/16XW7vvHAwWNVWcnA8js0nNuoOSGEO8=",
+      "rmsnorm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
+    }
+  }
+}

build/torch213-cxx11-xpu20260-x86_64-linux/metadata.json.sigstore ADDED Viewed

	@@ -0,0 +1 @@

+ 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build/torch213-cxx11-xpu20260-x86_64-linux/rmsnorm/__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")))