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kernels-bot commited on 2 days ago

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d5343a4

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1 Parent(s): 00dca74

Uploaded using `kernel-builder`.

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Files changed (17) hide show

.gitattributes +3 -0
build/torch212-cxx11-cpu-x86_64-linux/_ops.py +3 -3
build/torch212-cxx11-cpu-x86_64-linux/{_rmsnorm_cpu_43b4515.abi3.so → _rmsnorm_cpu_addf474.abi3.so} +1 -1
build/torch212-cxx11-cpu-x86_64-linux/metadata.json +7 -7
build/torch212-cxx11-cpu-x86_64-linux/metadata.json.sigstore +1 -1
build/torch212-cxx11-cpu-x86_64-linux/rmsnorm/__init__.py +0 -26
build/torch213-cxx11-cpu-x86_64-linux/_ops.py +3 -3
build/torch213-cxx11-cpu-x86_64-linux/{_rmsnorm_cpu_43b4515.abi3.so → _rmsnorm_cpu_addf474.abi3.so} +1 -1
build/torch213-cxx11-cpu-x86_64-linux/metadata.json +7 -7
build/torch213-cxx11-cpu-x86_64-linux/metadata.json.sigstore +1 -1
build/torch213-cxx11-cpu-x86_64-linux/rmsnorm/__init__.py +0 -26
build/torch214-cxx11-cpu-x86_64-linux/__init__.py +27 -0
build/torch214-cxx11-cpu-x86_64-linux/_ops.py +9 -0
build/torch214-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_addf474.abi3.so +3 -0
build/torch214-cxx11-cpu-x86_64-linux/layers.py +59 -0
build/torch214-cxx11-cpu-x86_64-linux/metadata.json +31 -0
build/torch214-cxx11-cpu-x86_64-linux/metadata.json.sigstore +1 -0

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+build/torch212-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch213-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch212-cxx11-cpu-x86_64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _rmsnorm_cpu_43b4515
-ops = torch.ops._rmsnorm_cpu_43b4515
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_rmsnorm_cpu_43b4515::{op_name}"

 import torch
+from . import _rmsnorm_cpu_addf474
+ops = torch.ops._rmsnorm_cpu_addf474
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_rmsnorm_cpu_addf474::{op_name}"

build/torch212-cxx11-cpu-x86_64-linux/{_rmsnorm_cpu_43b4515.abi3.so → _rmsnorm_cpu_addf474.abi3.so} RENAMED Viewed

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

@@ -1,9 +1,10 @@
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   "name": "rmsnorm",
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   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
   "backend": {
     "type": "cpu"
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 {
   "name": "rmsnorm",
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build/torch212-cxx11-cpu-x86_64-linux/rmsnorm/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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-cpu-x86_64-linux/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _rmsnorm_cpu_43b4515
-ops = torch.ops._rmsnorm_cpu_43b4515
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_rmsnorm_cpu_43b4515::{op_name}"

 import torch
+from . import _rmsnorm_cpu_addf474
+ops = torch.ops._rmsnorm_cpu_addf474
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_rmsnorm_cpu_addf474::{op_name}"

build/torch213-cxx11-cpu-x86_64-linux/{_rmsnorm_cpu_43b4515.abi3.so → _rmsnorm_cpu_addf474.abi3.so} RENAMED Viewed

@@ -1,3 +1,3 @@
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-oid sha256:b5e61441078f1c69a3390426d48a1a07c828620277896fc1ba1b97964b797afa
 size 162120

 version https://git-lfs.github.com/spec/v1
+oid sha256:aeec22c144a0543de72079263356837938e8e329415d19e9ee5e1cd7f21a4d60
 size 162120

build/torch213-cxx11-cpu-x86_64-linux/metadata.json CHANGED Viewed

@@ -1,9 +1,10 @@
 {
   "name": "rmsnorm",
-  "id": "_rmsnorm_cpu_43b4515",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
   "backend": {
     "type": "cpu"
   },
@@ -11,20 +12,19 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "iY6XPtdZUgS8HizpndYTF+U/5kUmeLsADwCNM0UXMME=",
-      "_ops.py": "7MUPqeIHtgtWdvCfpoZjdDU6JjbwpuqkY46+V6cfQUE=",
-      "_rmsnorm_cpu_43b4515.abi3.so": "teYUQQePHGmjOQQm1IoaB8goYgJ3iW/BuhuXlkt5evo=",
-      "layers.py": "8KMmxy30Olm/16XW7vvHAwWNVWcnA8js0nNuoOSGEO8=",
-      "rmsnorm/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
   },
   "provenance": {
     "kernel-builder": {
       "version": "0.17.0-dev0",
-      "sha": "81580bb92577f2f7228661ca2a221fc052375709",
       "dirty": false
     },
     "kernel": {
-      "sha": "43b45151bdb5d4eb406ab06077adc84e658fbcf7",
       "dirty": false
     }
   }

 {
   "name": "rmsnorm",
+  "id": "_rmsnorm_cpu_addf474",
   "version": 1,
   "license": "Apache-2.0",
   "python-depends": [],
+  "kernel-depends": [],
   "backend": {
     "type": "cpu"
   },
     "algorithm": "sha256",
     "files": {
       "__init__.py": "iY6XPtdZUgS8HizpndYTF+U/5kUmeLsADwCNM0UXMME=",
+      "_ops.py": "N6M9PuGEk7rPi1uLDjOEzxux5HCbrtqfth9MqfRjoQM=",
+      "_rmsnorm_cpu_addf474.abi3.so": "ruwiwUSgVD3nIHkmM1aDeTjo4ylBXRnp7l4c1/IaTWA=",
+      "layers.py": "8KMmxy30Olm/16XW7vvHAwWNVWcnA8js0nNuoOSGEO8="
     }
   },
   "provenance": {
     "kernel-builder": {
       "version": "0.17.0-dev0",
+      "commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
       "dirty": false
     },
     "kernel": {
+      "commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
       "dirty": false
     }
   }

build/torch213-cxx11-cpu-x86_64-linux/metadata.json.sigstore CHANGED Viewed

@@ -1 +1 @@

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build/torch213-cxx11-cpu-x86_64-linux/rmsnorm/__init__.py DELETED Viewed

@@ -1,26 +0,0 @@
-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/torch214-cxx11-cpu-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/torch214-cxx11-cpu-x86_64-linux/_ops.py ADDED Viewed

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

+import torch
+from . import _rmsnorm_cpu_addf474
+ops = torch.ops._rmsnorm_cpu_addf474
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_rmsnorm_cpu_addf474::{op_name}"

build/torch214-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_addf474.abi3.so ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:c098291cc7a9ebe4321bcf49c4ec2b03572023cc33bdd57efbbe77b06fa03d02
+size 162120

build/torch214-cxx11-cpu-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/torch214-cxx11-cpu-x86_64-linux/metadata.json ADDED Viewed

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

+{
+  "name": "rmsnorm",
+  "id": "_rmsnorm_cpu_addf474",
+  "version": 1,
+  "license": "Apache-2.0",
+  "python-depends": [],
+  "kernel-depends": [],
+  "backend": {
+    "type": "cpu"
+  },
+  "digest": {
+    "algorithm": "sha256",
+    "files": {
+      "__init__.py": "iY6XPtdZUgS8HizpndYTF+U/5kUmeLsADwCNM0UXMME=",
+      "_ops.py": "N6M9PuGEk7rPi1uLDjOEzxux5HCbrtqfth9MqfRjoQM=",
+      "_rmsnorm_cpu_addf474.abi3.so": "wJgpHMep6+QyG89JxOwrA1cgI8wzvdV++753sG+gPQI=",
+      "layers.py": "8KMmxy30Olm/16XW7vvHAwWNVWcnA8js0nNuoOSGEO8="
+    }
+  },
+  "provenance": {
+    "kernel-builder": {
+      "version": "0.17.0-dev0",
+      "commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
+      "dirty": false
+    },
+    "kernel": {
+      "commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
+      "dirty": false
+    }
+  }
+}

build/torch214-cxx11-cpu-x86_64-linux/metadata.json.sigstore ADDED Viewed

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