Kernels:

amd
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aiter-kernels

Trusted publisher

kernels-bot commited on 7 days ago

Commit

2e2d37d

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1 Parent(s): c3348a5

Uploaded using `kernel-builder`.

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Files changed (5) hide show

README.md +2 -3
build/torch-rocm/_ops.py +3 -6
build/torch-rocm/metadata.json +6 -5
build/torch-rocm/metadata.json.sigstore +1 -1
build/torch-rocm/symbols.json +49 -0

README.md CHANGED Viewed

@@ -12,13 +12,12 @@ This is the repository card of kernels-community/aiter-kernels that has been pus
 from kernels import get_kernel
 kernel_module = get_kernel("kernels-community/aiter-kernels")
-__kernel_metadata__ = kernel_module.__kernel_metadata__
-__kernel_metadata__(...)
 ```
 ## Available functions
-- `__kernel_metadata__`
 - `RotateStyle`
 - `apply_rotary_transformers`
 - `activation`

 from kernels import get_kernel
 kernel_module = get_kernel("kernels-community/aiter-kernels")
+RotateStyle = kernel_module.RotateStyle
+RotateStyle(...)
 ```
 ## Available functions
 - `RotateStyle`
 - `apply_rotary_transformers`
 - `activation`

build/torch-rocm/_ops.py CHANGED Viewed

@@ -4,11 +4,8 @@ def get_backend() -> str:
     """Detect the backend by inspecting torch."""
     import torch
-    if hasattr(torch.backends, "tpu"):
-        # torch_tpu sets torch.backends.tpu when it is imported (via
-        # torch's device-backend autoload), regardless of whether TPU
-        # hardware is present — analogous to torch.version.cuda being
-        # set on CUDA builds without a GPU.
         return "tpu"
     elif hasattr(torch, "neuron"):
         # Needs to be sorted before specific Torch builds, since Neuron
@@ -28,7 +25,7 @@ def get_backend() -> str:
 def _find_ops_name() -> str:
     kernel_name = "aiter_kernels"
-    unique_id = "89d4054"
     backend = get_backend()
     return f"_{kernel_name}_{backend}_{unique_id}"

     """Detect the backend by inspecting torch."""
     import torch
+    acc = torch.accelerator.current_accelerator() if hasattr(torch, "accelerator") else None
+    if acc is not None and acc.type == "tpu":
         return "tpu"
     elif hasattr(torch, "neuron"):
         # Needs to be sorted before specific Torch builds, since Neuron
 def _find_ops_name() -> str:
     kernel_name = "aiter_kernels"
+    unique_id = "fe2bb66"
     backend = get_backend()
     return f"_{kernel_name}_{backend}_{unique_id}"

build/torch-rocm/metadata.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "name": "aiter-kernels",
-  "id": "_aiter_kernels_rocm_89d4054",
   "version": 2,
   "kernels-minver": "0.14.0",
   "license": "MIT",
@@ -31,7 +31,7 @@
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       "_gluon_kernels/gfx942/moe/__init__.py": "47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU=",
       "_gluon_kernels/gfx942/moe/moe_op_gemm_int8_smoothquant.py": "E8oL4XgLuVdJT+OD+KqtJcZ9ZkDeBo//4I3mAYt93Os=",
-      "_ops.py": "QogoDqkNmOyYp4edZyqlmBsu9tYk0nKKlme2NMbkn+0=",
       "_triton_kernels/__init__.py": "47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU=",
       "_triton_kernels/activation.py": "eIkZwP3Cj5SrDpTOgieEhuXQY3O/gENBr2pQW2mNBhU=",
       "_triton_kernels/causal_conv1d.py": "KCNiIp29QWXDAB5MelAT3oIGN8TePY/mWRl7hj/PiJQ=",
@@ -544,6 +544,7 @@
       "rope/fused_qkv_split_qk_rope.py": "Gj5mKu1hjnPXj30Fr5aTZnDPlGNj1duVyjW1XAA+ycs=",
       "rope/rope.py": "qNusXfm2MhQDhiCZxTFCBZcZDqA+9le9JNQViDp/Wrg=",
       "softmax.py": "xYC3/Iq5aN7a9d4RopmaK6lqrWPqZSGHMpDHq+J0AjQ=",
       "topk.py": "B3ITKRPi+t4g0OT9L7tBKRMUYxQVwT629jhv7YMqxjw=",
       "utils/__init__.py": "L4OCANUf1Gk2CO8fpOhGu7W7YVfD1Y2iPFBRAJbuTgg=",
       "utils/_triton/__init__.py": "47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU=",
@@ -569,12 +570,12 @@
   },
   "provenance": {
     "kernel-builder": {
-      "version": "0.17.0-dev0",
-      "commit": "a7f0afdb29a6a3372b1d47180cc0c182454c5e3b",
       "dirty": false
     },
     "kernel": {
-      "commit": "89d4054f3755039d5474cfed03f06de026ee2ce7",
       "dirty": false
     }
   }

 {
   "name": "aiter-kernels",
+  "id": "_aiter_kernels_rocm_fe2bb66",
   "version": 2,
   "kernels-minver": "0.14.0",
   "license": "MIT",
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       "_gluon_kernels/gfx942/moe/__init__.py": "47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU=",
       "_gluon_kernels/gfx942/moe/moe_op_gemm_int8_smoothquant.py": "E8oL4XgLuVdJT+OD+KqtJcZ9ZkDeBo//4I3mAYt93Os=",
+      "_ops.py": "pQ1a3vuCXL0zngWM3uQ76rEL5QyVOqebqRn+yDLXoJM=",
       "_triton_kernels/__init__.py": "47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU=",
       "_triton_kernels/activation.py": "eIkZwP3Cj5SrDpTOgieEhuXQY3O/gENBr2pQW2mNBhU=",
       "_triton_kernels/causal_conv1d.py": "KCNiIp29QWXDAB5MelAT3oIGN8TePY/mWRl7hj/PiJQ=",
       "rope/fused_qkv_split_qk_rope.py": "Gj5mKu1hjnPXj30Fr5aTZnDPlGNj1duVyjW1XAA+ycs=",
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       "softmax.py": "xYC3/Iq5aN7a9d4RopmaK6lqrWPqZSGHMpDHq+J0AjQ=",
+      "symbols.json": "U4Ib3HeF5Dx4pVctS5oAmD1QHqvuHpn0Q9hFbzu8efY=",
       "topk.py": "B3ITKRPi+t4g0OT9L7tBKRMUYxQVwT629jhv7YMqxjw=",
       "utils/__init__.py": "L4OCANUf1Gk2CO8fpOhGu7W7YVfD1Y2iPFBRAJbuTgg=",
       "utils/_triton/__init__.py": "47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU=",
   },
   "provenance": {
     "kernel-builder": {
+      "version": "0.18.0-dev0",
+      "commit": "d054906a13710b811b96697b4635f03020842733",
       "dirty": false
     },
     "kernel": {
+      "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed",
       "dirty": false
     }
   }

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build/torch-rocm/symbols.json ADDED Viewed

	@@ -0,0 +1,49 @@

+{
+  "schema_version": 1,
+  "module": "_aiter_kernels_rocm_fe2bb66",
+  "functions": [
+    {
+      "name": "apply_rotary_transformers",
+      "qualname": "apply_rotary_transformers",
+      "module": "_aiter_kernels_rocm_fe2bb66.rope",
+      "kind": "function",
+      "doc": "Apply NEOX-style RoPE to ``q`` and ``k``.\n\nDrop-in replacement for ``kernels-community/rotary``'s\n``apply_rotary_transformers`` and for the same-named function in\n``kernels-community/aiter-rope``.\n\nArgs:\n    q, k: ``(batch, heads, seq, head_dim)``.\n    cos, sin: ``(batch, seq, head_dim // 2)`` — pre-``unsqueeze`` form.\n    unsqueeze_dim: accepted for API parity; the kernel reads positions from\n        the already-computed ``cos`` / ``sin``.\n\nReturns:\n    ``(q_embed, k_embed)`` in the same shape as ``q``, ``k``.",
+      "signature": {
+        "parameters": [
+          {
+            "name": "q",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "k",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "cos",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "sin",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "unsqueeze_dim",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "1",
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    }
+  ],
+  "layers": []
+}