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kernels-bot commited on 3 days ago

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.gitattributes +18 -0
build/torch210-cu126-aarch64-linux/__init__.py +26 -0
build/torch210-cu126-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
build/torch210-cu126-aarch64-linux/_ops.py +9 -0
build/torch210-cu126-aarch64-linux/layers.py +51 -0
build/torch210-cu126-aarch64-linux/metadata.json +38 -0
build/torch210-cu126-aarch64-linux/metadata.json.sigstore +1 -0
build/torch210-cu126-aarch64-linux/symbols.json +361 -0
build/torch210-cu128-aarch64-linux/__init__.py +26 -0
build/torch210-cu128-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
build/torch210-cu128-aarch64-linux/_ops.py +9 -0
build/torch210-cu128-aarch64-linux/layers.py +51 -0
build/torch210-cu128-aarch64-linux/metadata.json +40 -0
build/torch210-cu128-aarch64-linux/metadata.json.sigstore +1 -0
build/torch210-cu128-aarch64-linux/symbols.json +361 -0
build/torch210-cu130-aarch64-linux/__init__.py +26 -0
build/torch210-cu130-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
build/torch210-cu130-aarch64-linux/_ops.py +9 -0
build/torch210-cu130-aarch64-linux/layers.py +51 -0
build/torch210-cu130-aarch64-linux/metadata.json +40 -0
build/torch210-cu130-aarch64-linux/metadata.json.sigstore +1 -0
build/torch210-cu130-aarch64-linux/symbols.json +361 -0
build/torch211-cu126-aarch64-linux/__init__.py +26 -0
build/torch211-cu126-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
build/torch211-cu126-aarch64-linux/_ops.py +9 -0
build/torch211-cu126-aarch64-linux/layers.py +51 -0
build/torch211-cu126-aarch64-linux/metadata.json +38 -0
build/torch211-cu126-aarch64-linux/metadata.json.sigstore +1 -0
build/torch211-cu126-aarch64-linux/symbols.json +361 -0
build/torch211-cu128-aarch64-linux/__init__.py +26 -0
build/torch211-cu128-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
build/torch211-cu128-aarch64-linux/_ops.py +9 -0
build/torch211-cu128-aarch64-linux/layers.py +51 -0
build/torch211-cu128-aarch64-linux/metadata.json +40 -0
build/torch211-cu128-aarch64-linux/metadata.json.sigstore +1 -0
build/torch211-cu128-aarch64-linux/symbols.json +361 -0
build/torch211-cu130-aarch64-linux/__init__.py +26 -0
build/torch211-cu130-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
build/torch211-cu130-aarch64-linux/_ops.py +9 -0
build/torch211-cu130-aarch64-linux/layers.py +51 -0
build/torch211-cu130-aarch64-linux/metadata.json +40 -0
build/torch211-cu130-aarch64-linux/metadata.json.sigstore +1 -0
build/torch211-cu130-aarch64-linux/symbols.json +361 -0
build/torch212-cu126-aarch64-linux/__init__.py +26 -0
build/torch212-cu126-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so +3 -0
build/torch212-cu126-aarch64-linux/_ops.py +9 -0
build/torch212-cu126-aarch64-linux/layers.py +51 -0
build/torch212-cu126-aarch64-linux/metadata.json +38 -0
build/torch212-cu126-aarch64-linux/metadata.json.sigstore +1 -0
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.gitattributes CHANGED Viewed

@@ -171,3 +171,21 @@ build/torch213-cxx11-cu132-x86_64-linux/_layer_norm_cuda_89d4054.abi3.so filter=
 build/torch214-cxx11-cu126-x86_64-linux/_layer_norm_cuda_89d4054.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch214-cxx11-cu130-x86_64-linux/_layer_norm_cuda_89d4054.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch214-cxx11-cu132-x86_64-linux/_layer_norm_cuda_89d4054.abi3.so filter=lfs diff=lfs merge=lfs -text

 build/torch214-cxx11-cu126-x86_64-linux/_layer_norm_cuda_89d4054.abi3.so filter=lfs diff=lfs merge=lfs -text
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 build/torch214-cxx11-cu132-x86_64-linux/_layer_norm_cuda_89d4054.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cu126-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cu128-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch210-cu130-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cu126-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cu128-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch211-cu130-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch212-cu126-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
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+build/torch213-cu126-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
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+build/torch215-cu130-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch215-cu132-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch215-cu134-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so filter=lfs diff=lfs merge=lfs -text

build/torch210-cu126-aarch64-linux/__init__.py ADDED Viewed

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

+import torch
+import torch.nn as nn
+from ._ops import ops
+from . import layers
+def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
+def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
+__all__ = [
+    "layers",
+    "dropout_add_ln_fwd",
+    "dropout_add_ln_bwd",
+    "dropout_add_ln_parallel_residual_fwd",
+    "dropout_add_ln_parallel_residual_bwd",
+]

build/torch210-cu126-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so ADDED Viewed

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build/torch210-cu126-aarch64-linux/_ops.py ADDED Viewed

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

+import torch
+from . import _layer_norm_cuda_fe2bb66
+ops = torch.ops._layer_norm_cuda_fe2bb66
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_layer_norm_cuda_fe2bb66::{op_name}"

build/torch210-cu126-aarch64-linux/layers.py ADDED Viewed

	@@ -0,0 +1,51 @@

+import torch
+import torch.nn as nn
+from ._ops import ops
+class LayerNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = False,
+        )
+        return output[0].view(hidden_states.shape)
+class LlamaRMSNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = True,
+        )
+        return output[0].view(hidden_states.shape)

build/torch210-cu126-aarch64-linux/metadata.json ADDED Viewed

	@@ -0,0 +1,38 @@

+{
+  "name": "layer-norm",
+  "id": "_layer_norm_cuda_fe2bb66",
+  "version": 1,
+  "kernels-minver": "0.14.0",
+  "license": "BSD-3-Clause",
+  "python-depends": [],
+  "kernel-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "8.0",
+      "8.9",
+      "9.0"
+    ]
+  },
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+      "_ops.py": "Bz98v8Ry/7lpJVStlnEKKEvzErnRTgXwlW+sroJ2+tM=",
+      "layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo=",
+      "symbols.json": "uzzPh37RmlWx6HBnBUyTrknEd17yJD0FN+qjhwr3unI="
+    }
+  },
+  "provenance": {
+    "kernel-builder": {
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+      "commit": "d054906a13710b811b96697b4635f03020842733",
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+    }
+  }
+}

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build/torch210-cu126-aarch64-linux/symbols.json ADDED Viewed

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+{
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+  "module": "_layer_norm_cuda_fe2bb66",
+  "functions": [
+    {
+      "name": "dropout_add_ln_fwd",
+      "qualname": "dropout_add_ln_fwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
+        "parameters": [
+          {
+            "name": "input",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "gamma",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "beta",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "rowscale",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "x0_subset",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "z_subset",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "dropout_p",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "epsilon",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
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+          }
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+    },
+    {
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+      "qualname": "dropout_add_ln_parallel_residual_fwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
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+            "default": null,
+            "annotation": null
+          }
+        ],
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+      }
+    },
+    {
+      "name": "dropout_add_ln_parallel_residual_bwd",
+      "qualname": "dropout_add_ln_parallel_residual_bwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
+        "parameters": [
+          {
+            "name": "dz0",
+            "kind": "POSITIONAL_OR_KEYWORD",
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+          {
+            "name": "gamma1",
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+          {
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+            "annotation": null
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+          {
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+          {
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+          {
+            "name": "is_rms_norm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    }
+  ],
+  "layers": []
+}

build/torch210-cu128-aarch64-linux/__init__.py ADDED Viewed

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

+import torch
+import torch.nn as nn
+from ._ops import ops
+from . import layers
+def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
+def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
+__all__ = [
+    "layers",
+    "dropout_add_ln_fwd",
+    "dropout_add_ln_bwd",
+    "dropout_add_ln_parallel_residual_fwd",
+    "dropout_add_ln_parallel_residual_bwd",
+]

build/torch210-cu128-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
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+size 1229050896

build/torch210-cu128-aarch64-linux/_ops.py ADDED Viewed

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

+import torch
+from . import _layer_norm_cuda_fe2bb66
+ops = torch.ops._layer_norm_cuda_fe2bb66
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_layer_norm_cuda_fe2bb66::{op_name}"

build/torch210-cu128-aarch64-linux/layers.py ADDED Viewed

	@@ -0,0 +1,51 @@

+import torch
+import torch.nn as nn
+from ._ops import ops
+class LayerNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = False,
+        )
+        return output[0].view(hidden_states.shape)
+class LlamaRMSNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = True,
+        )
+        return output[0].view(hidden_states.shape)

build/torch210-cu128-aarch64-linux/metadata.json ADDED Viewed

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+  "name": "layer-norm",
+  "id": "_layer_norm_cuda_fe2bb66",
+  "version": 1,
+  "kernels-minver": "0.14.0",
+  "license": "BSD-3-Clause",
+  "python-depends": [],
+  "kernel-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "10.0",
+      "12.0",
+      "8.0",
+      "8.9",
+      "9.0"
+    ]
+  },
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+      "_ops.py": "Bz98v8Ry/7lpJVStlnEKKEvzErnRTgXwlW+sroJ2+tM=",
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+    }
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+    }
+  }
+}

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build/torch210-cu128-aarch64-linux/symbols.json ADDED Viewed

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+            "annotation": null
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+          {
+            "name": "is_rms_norm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    },
+    {
+      "name": "dropout_add_ln_parallel_residual_fwd",
+      "qualname": "dropout_add_ln_parallel_residual_fwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
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+          {
+            "name": "input",
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+          {
+            "name": "gen",
+            "kind": "POSITIONAL_OR_KEYWORD",
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+            "default": null,
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    },
+    {
+      "name": "dropout_add_ln_parallel_residual_bwd",
+      "qualname": "dropout_add_ln_parallel_residual_bwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
+        "parameters": [
+          {
+            "name": "dz0",
+            "kind": "POSITIONAL_OR_KEYWORD",
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+          {
+            "name": "gamma1",
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+            "annotation": null
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+          {
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+            "annotation": null
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+          {
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+          {
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+          {
+            "name": "is_rms_norm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    }
+  ],
+  "layers": []
+}

build/torch210-cu130-aarch64-linux/__init__.py ADDED Viewed

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

+import torch
+import torch.nn as nn
+from ._ops import ops
+from . import layers
+def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
+def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
+__all__ = [
+    "layers",
+    "dropout_add_ln_fwd",
+    "dropout_add_ln_bwd",
+    "dropout_add_ln_parallel_residual_fwd",
+    "dropout_add_ln_parallel_residual_bwd",
+]

build/torch210-cu130-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
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+size 1233960744

build/torch210-cu130-aarch64-linux/_ops.py ADDED Viewed

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

+import torch
+from . import _layer_norm_cuda_fe2bb66
+ops = torch.ops._layer_norm_cuda_fe2bb66
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_layer_norm_cuda_fe2bb66::{op_name}"

build/torch210-cu130-aarch64-linux/layers.py ADDED Viewed

	@@ -0,0 +1,51 @@

+import torch
+import torch.nn as nn
+from ._ops import ops
+class LayerNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = False,
+        )
+        return output[0].view(hidden_states.shape)
+class LlamaRMSNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = True,
+        )
+        return output[0].view(hidden_states.shape)

build/torch210-cu130-aarch64-linux/metadata.json ADDED Viewed

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+  "name": "layer-norm",
+  "id": "_layer_norm_cuda_fe2bb66",
+  "version": 1,
+  "kernels-minver": "0.14.0",
+  "license": "BSD-3-Clause",
+  "python-depends": [],
+  "kernel-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "10.0",
+      "12.0",
+      "8.0",
+      "8.9",
+      "9.0"
+    ]
+  },
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+    }
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+    }
+  }
+}

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build/torch210-cu130-aarch64-linux/symbols.json ADDED Viewed

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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
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+          {
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+            "annotation": null
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+            "annotation": null
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+            "annotation": null
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+          {
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+            "annotation": null
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+            "annotation": null
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+          {
+            "name": "is_rms_norm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    },
+    {
+      "name": "dropout_add_ln_parallel_residual_fwd",
+      "qualname": "dropout_add_ln_parallel_residual_fwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+            "default": null,
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    },
+    {
+      "name": "dropout_add_ln_parallel_residual_bwd",
+      "qualname": "dropout_add_ln_parallel_residual_bwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
+        "parameters": [
+          {
+            "name": "dz0",
+            "kind": "POSITIONAL_OR_KEYWORD",
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+          {
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+          {
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+          {
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+            "default": null,
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    }
+  ],
+  "layers": []
+}

build/torch211-cu126-aarch64-linux/__init__.py ADDED Viewed

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

+import torch
+import torch.nn as nn
+from ._ops import ops
+from . import layers
+def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
+def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
+__all__ = [
+    "layers",
+    "dropout_add_ln_fwd",
+    "dropout_add_ln_bwd",
+    "dropout_add_ln_parallel_residual_fwd",
+    "dropout_add_ln_parallel_residual_bwd",
+]

build/torch211-cu126-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
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+size 709674512

build/torch211-cu126-aarch64-linux/_ops.py ADDED Viewed

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

+import torch
+from . import _layer_norm_cuda_fe2bb66
+ops = torch.ops._layer_norm_cuda_fe2bb66
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_layer_norm_cuda_fe2bb66::{op_name}"

build/torch211-cu126-aarch64-linux/layers.py ADDED Viewed

	@@ -0,0 +1,51 @@

+import torch
+import torch.nn as nn
+from ._ops import ops
+class LayerNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = False,
+        )
+        return output[0].view(hidden_states.shape)
+class LlamaRMSNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = True,
+        )
+        return output[0].view(hidden_states.shape)

build/torch211-cu126-aarch64-linux/metadata.json ADDED Viewed

	@@ -0,0 +1,38 @@

+{
+  "name": "layer-norm",
+  "id": "_layer_norm_cuda_fe2bb66",
+  "version": 1,
+  "kernels-minver": "0.14.0",
+  "license": "BSD-3-Clause",
+  "python-depends": [],
+  "kernel-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "8.0",
+      "8.9",
+      "9.0"
+    ]
+  },
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+      "_layer_norm_cuda_fe2bb66.abi3.so": "g+nNLLeAbEG3WuNmzchEXjpATY6Glvkh4pGwlUY68qA=",
+      "_ops.py": "Bz98v8Ry/7lpJVStlnEKKEvzErnRTgXwlW+sroJ2+tM=",
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+      "symbols.json": "uzzPh37RmlWx6HBnBUyTrknEd17yJD0FN+qjhwr3unI="
+    }
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+      "commit": "d054906a13710b811b96697b4635f03020842733",
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+    }
+  }
+}

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build/torch211-cu126-aarch64-linux/symbols.json ADDED Viewed

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+          {
+            "name": "is_rms_norm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
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+          }
+        ],
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+      }
+    },
+    {
+      "name": "dropout_add_ln_parallel_residual_fwd",
+      "qualname": "dropout_add_ln_parallel_residual_fwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+            "default": null,
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+          }
+        ],
+        "return_annotation": null
+      }
+    },
+    {
+      "name": "dropout_add_ln_parallel_residual_bwd",
+      "qualname": "dropout_add_ln_parallel_residual_bwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
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+            "name": "dz0",
+            "kind": "POSITIONAL_OR_KEYWORD",
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+          {
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+          {
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+            "default": null,
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+        ],
+        "return_annotation": null
+      }
+    }
+  ],
+  "layers": []
+}

build/torch211-cu128-aarch64-linux/__init__.py ADDED Viewed

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

+import torch
+import torch.nn as nn
+from ._ops import ops
+from . import layers
+def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
+def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
+__all__ = [
+    "layers",
+    "dropout_add_ln_fwd",
+    "dropout_add_ln_bwd",
+    "dropout_add_ln_parallel_residual_fwd",
+    "dropout_add_ln_parallel_residual_bwd",
+]

build/torch211-cu128-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
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+size 1229047240

build/torch211-cu128-aarch64-linux/_ops.py ADDED Viewed

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

+import torch
+from . import _layer_norm_cuda_fe2bb66
+ops = torch.ops._layer_norm_cuda_fe2bb66
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_layer_norm_cuda_fe2bb66::{op_name}"

build/torch211-cu128-aarch64-linux/layers.py ADDED Viewed

	@@ -0,0 +1,51 @@

+import torch
+import torch.nn as nn
+from ._ops import ops
+class LayerNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = False,
+        )
+        return output[0].view(hidden_states.shape)
+class LlamaRMSNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = True,
+        )
+        return output[0].view(hidden_states.shape)

build/torch211-cu128-aarch64-linux/metadata.json ADDED Viewed

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+  "name": "layer-norm",
+  "id": "_layer_norm_cuda_fe2bb66",
+  "version": 1,
+  "kernels-minver": "0.14.0",
+  "license": "BSD-3-Clause",
+  "python-depends": [],
+  "kernel-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "10.0",
+      "12.0",
+      "8.0",
+      "8.9",
+      "9.0"
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+    }
+  }
+}

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build/torch211-cu128-aarch64-linux/symbols.json ADDED Viewed

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+            "default": null,
+            "annotation": null
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+            "annotation": null
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+            "annotation": null
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+            "annotation": null
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+            "annotation": null
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+    {
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+      "qualname": "dropout_add_ln_parallel_residual_fwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
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+    },
+    {
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+      "qualname": "dropout_add_ln_parallel_residual_bwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
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+          {
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+            "default": null,
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+        ],
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+      }
+    }
+  ],
+  "layers": []
+}

build/torch211-cu130-aarch64-linux/__init__.py ADDED Viewed

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

+import torch
+import torch.nn as nn
+from ._ops import ops
+from . import layers
+def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
+def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
+__all__ = [
+    "layers",
+    "dropout_add_ln_fwd",
+    "dropout_add_ln_bwd",
+    "dropout_add_ln_parallel_residual_fwd",
+    "dropout_add_ln_parallel_residual_bwd",
+]

build/torch211-cu130-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
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+size 1233957096

build/torch211-cu130-aarch64-linux/_ops.py ADDED Viewed

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

+import torch
+from . import _layer_norm_cuda_fe2bb66
+ops = torch.ops._layer_norm_cuda_fe2bb66
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_layer_norm_cuda_fe2bb66::{op_name}"

build/torch211-cu130-aarch64-linux/layers.py ADDED Viewed

	@@ -0,0 +1,51 @@

+import torch
+import torch.nn as nn
+from ._ops import ops
+class LayerNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = False,
+        )
+        return output[0].view(hidden_states.shape)
+class LlamaRMSNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = True,
+        )
+        return output[0].view(hidden_states.shape)

build/torch211-cu130-aarch64-linux/metadata.json ADDED Viewed

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+  "name": "layer-norm",
+  "id": "_layer_norm_cuda_fe2bb66",
+  "version": 1,
+  "kernels-minver": "0.14.0",
+  "license": "BSD-3-Clause",
+  "python-depends": [],
+  "kernel-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "10.0",
+      "12.0",
+      "8.0",
+      "8.9",
+      "9.0"
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+    }
+  }
+}

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build/torch211-cu130-aarch64-linux/symbols.json ADDED Viewed

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+  "functions": [
+    {
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+      "qualname": "dropout_add_ln_fwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
+        "parameters": [
+          {
+            "name": "input",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "gamma",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
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+            "default": null,
+            "annotation": null
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+            "annotation": null
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+            "default": null,
+            "annotation": null
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+          {
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+            "default": null,
+            "annotation": null
+          },
+          {
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+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "epsilon",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
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+          {
+            "name": "rowscale_const",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+          {
+            "name": "is_rms_norm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    },
+    {
+      "name": "dropout_add_ln_parallel_residual_fwd",
+      "qualname": "dropout_add_ln_parallel_residual_fwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+            "default": null,
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    },
+    {
+      "name": "dropout_add_ln_parallel_residual_bwd",
+      "qualname": "dropout_add_ln_parallel_residual_bwd",
+      "module": "_layer_norm_cuda_fe2bb66",
+      "kind": "function",
+      "doc": null,
+      "signature": {
+        "parameters": [
+          {
+            "name": "dz0",
+            "kind": "POSITIONAL_OR_KEYWORD",
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+          {
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+          {
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+          {
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+            "default": null,
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+        ],
+        "return_annotation": null
+      }
+    }
+  ],
+  "layers": []
+}

build/torch212-cu126-aarch64-linux/__init__.py ADDED Viewed

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

+import torch
+import torch.nn as nn
+from ._ops import ops
+from . import layers
+def dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_fwd(input, gamma, beta, rowscale, colscale, x0_subset, z_subset, dropout_p, epsilon, rowscale_const, z_numrows, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_bwd(dz, dx, x, mu, rsigma, gamma, rowscale, colscale, x0_subset, z_subset, dropout_p, rowscale_const, x0_numrows, has_residual, is_rms_norm)
+def dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_fwd(input, gamma0, beta0, gamma1, beta1, dropout_p, epsilon, gen, residual_in_fp32, is_rms_norm)
+def dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm):
+    return ops.dropout_add_ln_parallel_residual_bwd(dz0, dz1, dx, x, mu, rsigma, gamma0, gamma1, dropout_p, has_x1, has_residual, is_rms_norm)
+__all__ = [
+    "layers",
+    "dropout_add_ln_fwd",
+    "dropout_add_ln_bwd",
+    "dropout_add_ln_parallel_residual_fwd",
+    "dropout_add_ln_parallel_residual_bwd",
+]

build/torch212-cu126-aarch64-linux/_layer_norm_cuda_fe2bb66.abi3.so ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
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+size 709677048

build/torch212-cu126-aarch64-linux/_ops.py ADDED Viewed

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

+import torch
+from . import _layer_norm_cuda_fe2bb66
+ops = torch.ops._layer_norm_cuda_fe2bb66
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_layer_norm_cuda_fe2bb66::{op_name}"

build/torch212-cu126-aarch64-linux/layers.py ADDED Viewed

	@@ -0,0 +1,51 @@

+import torch
+import torch.nn as nn
+from ._ops import ops
+class LayerNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = False,
+        )
+        return output[0].view(hidden_states.shape)
+class LlamaRMSNorm(nn.Module):
+    weight: torch.Tensor
+    variance_epsilon: float
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        output = ops.dropout_add_ln_fwd(
+            hidden_states.view(-1, hidden_states.shape[-1]),
+            gamma = self.weight,
+            beta = None,
+            rowscale = None,
+            colscale = None,
+            x0_subset = None,
+            z_subset = None,
+            dropout_p = 0,
+            epsilon = self.variance_epsilon,
+            rowscale_const = 1.0,
+            z_numrows = hidden_states.shape[1],
+            gen = None,
+            residual_in_fp32 = False,
+            is_rms_norm = True,
+        )
+        return output[0].view(hidden_states.shape)

build/torch212-cu126-aarch64-linux/metadata.json ADDED Viewed

	@@ -0,0 +1,38 @@

+{
+  "name": "layer-norm",
+  "id": "_layer_norm_cuda_fe2bb66",
+  "version": 1,
+  "kernels-minver": "0.14.0",
+  "license": "BSD-3-Clause",
+  "python-depends": [],
+  "kernel-depends": [],
+  "backend": {
+    "type": "cuda",
+    "archs": [
+      "8.0",
+      "8.9",
+      "9.0"
+    ]
+  },
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+      "_layer_norm_cuda_fe2bb66.abi3.so": "X9V2pDQfUbmvgv0rf/xMEUU9xE5ya+lvZUIyLySXCG4=",
+      "_ops.py": "Bz98v8Ry/7lpJVStlnEKKEvzErnRTgXwlW+sroJ2+tM=",
+      "layers.py": "6MG0mvDTvgmjgeOE8+zQHno3oudtLhqdXVh5x8a+2fo=",
+      "symbols.json": "uzzPh37RmlWx6HBnBUyTrknEd17yJD0FN+qjhwr3unI="
+    }
+  },
+  "provenance": {
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+      "commit": "d054906a13710b811b96697b4635f03020842733",
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+      "dirty": false
+    }
+  }
+}

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build/torch212-cu126-aarch64-linux/symbols.json ADDED Viewed

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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
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+          {
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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
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+            "annotation": null
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+            "annotation": null
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+            "annotation": null
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