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fla

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kernels-bot commited on Aug 4

Commit

fb129f3

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1 Parent(s): 280bdcd

Uploaded using `kernel-builder`.

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Files changed (5) hide show

build/torch-cuda/__init__.py +2 -0
build/torch-cuda/_ops.py +1 -1
build/torch-cuda/layers.py +62 -1
build/torch-cuda/metadata.json +4 -4
build/torch-cuda/metadata.json.sigstore +1 -1

build/torch-cuda/__init__.py CHANGED Viewed

@@ -1,10 +1,12 @@
 from . import layers
 from .ops.kda import chunk_kda, fused_recurrent_kda
 __all__ = [
     # original functions directly
     "chunk_kda", "fused_recurrent_kda",
     # layers
     "layers",
 ]

 from . import layers
+from .ops.gated_delta_rule import chunk_gated_delta_rule, fused_recurrent_gated_delta_rule
 from .ops.kda import chunk_kda, fused_recurrent_kda
 __all__ = [
     # original functions directly
     "chunk_kda", "fused_recurrent_kda",
+    "chunk_gated_delta_rule", "fused_recurrent_gated_delta_rule",
     # layers
     "layers",
 ]

build/torch-cuda/_ops.py CHANGED Viewed

@@ -22,7 +22,7 @@ def get_backend() -> str:
 def _find_ops_name() -> str:
     kernel_name = "fla"
-    unique_id = "80bc07a"
     backend = get_backend()
     return f"_{kernel_name}_{backend}_{unique_id}"

 def _find_ops_name() -> str:
     kernel_name = "fla"
+    unique_id = "df9aae1"
     backend = get_backend()
     return f"_{kernel_name}_{backend}_{unique_id}"

build/torch-cuda/layers.py CHANGED Viewed

@@ -1,6 +1,8 @@
 import torch.nn as nn
 from .modules.fused_norm_gate import rms_norm_gated
 from .ops.kda import chunk_kda, fused_recurrent_kda
@@ -72,4 +74,63 @@ class recurrent_kimi_delta_attention(nn.Module):
         )
-__all__ = ["FusedRMSNormGated", "chunk_kimi_delta_attention", "recurrent_kimi_delta_attention"]

 import torch.nn as nn
 from .modules.fused_norm_gate import rms_norm_gated
+from .ops.gated_delta_rule import chunk_gated_delta_rule as chunk_gdn
+from .ops.gated_delta_rule import fused_recurrent_gated_delta_rule as fused_recurrent_gdn
 from .ops.kda import chunk_kda, fused_recurrent_kda
         )
+class chunk_gated_delta_rule(nn.Module):
+    def forward(
+        self,
+        query,
+        key,
+        value,
+        g,
+        beta,
+        chunk_size=64,
+        initial_state=None,
+        output_final_state=False,
+        use_qk_l2norm_in_kernel=False,
+        **kwargs,
+    ):
+        # Keep internal consistency between transformers and fla to allow both
+        cu_seqlens = kwargs.pop("cu_seq_lens_q", kwargs.pop("cu_seqlens", None))
+        return chunk_gdn(
+            query,
+            key,
+            value,
+            g=g,
+            beta=beta,
+            chunk_size=chunk_size,
+            initial_state=initial_state,
+            output_final_state=output_final_state,
+            use_qk_l2norm_in_kernel=use_qk_l2norm_in_kernel,
+            cu_seqlens=cu_seqlens,
+            **kwargs,
+        )
+class recurrent_gated_delta_rule(nn.Module):
+    def forward(
+        self, query, key, value, g, beta, initial_state, output_final_state, use_qk_l2norm_in_kernel=False, **kwargs,
+    ):
+        # Keep internal consistency between transformers and fla to allow both
+        cu_seqlens = kwargs.pop("cu_seq_lens_q", kwargs.pop("cu_seqlens", None))
+        return fused_recurrent_gdn(
+            query,
+            key,
+            value,
+            g=g,
+            beta=beta,
+            initial_state=initial_state,
+            output_final_state=output_final_state,
+            use_qk_l2norm_in_kernel=use_qk_l2norm_in_kernel,
+            cu_seqlens=cu_seqlens,
+            **kwargs,
+        )
+__all__ = [
+    "FusedRMSNormGated",
+    "chunk_kimi_delta_attention",
+    "recurrent_kimi_delta_attention",
+    "chunk_gated_delta_rule",
+    "recurrent_gated_delta_rule"
+]

build/torch-cuda/metadata.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "name": "fla",
-  "id": "_fla_cuda_80bc07a",
   "version": 1,
   "license": "MIT",
   "python-depends": [
@@ -12,10 +12,10 @@
   "digest": {
     "algorithm": "sha256",
     "files": {
-      "__init__.py": "3SZ4Y8aOv7FY7WOINRA3+ghHt+8UDINnPOkrvRQBMmQ=",
-      "_ops.py": "fp8l5VIhYpUQWZpjEmzaqNmgmQPULdFYI/XnJXzU9lQ=",
       "fla/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
-      "layers.py": "EWyl/bImFUHQGFr4YB8oX4kjbCZ7J+yNBcExs7mwJh0=",
       "modules/__init__.py": "6ZjjRMt6Rf+2OegXDC8w58RD1IW3SBK+dxBoZa4Uohc=",
       "modules/activations.py": "Lp7xLUf7r785nt93NFhqoSQM+G7AK2e6kviE2/0TRJs=",
       "modules/backends/__init__.py": "l0tLqWyPFwwDRTdnHZYBzoux6J/LOFveJ53KREAKKDk=",

 {
   "name": "fla",
+  "id": "_fla_cuda_df9aae1",
   "version": 1,
   "license": "MIT",
   "python-depends": [
   "digest": {
     "algorithm": "sha256",
     "files": {
+      "__init__.py": "bVRNYUhThvULeUaovvQFZCJ9IZZsC+0kU/HbnXdYT1A=",
+      "_ops.py": "C1aSqvMqibUeWEoqMooP+A7Oi7Anev5/k7+MVjUqzCM=",
       "fla/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY=",
+      "layers.py": "/39XVQW4d4GHeNROqT67ujKbItdteLBtm0PT6zq41YQ=",
       "modules/__init__.py": "6ZjjRMt6Rf+2OegXDC8w58RD1IW3SBK+dxBoZa4Uohc=",
       "modules/activations.py": "Lp7xLUf7r785nt93NFhqoSQM+G7AK2e6kviE2/0TRJs=",
       "modules/backends/__init__.py": "l0tLqWyPFwwDRTdnHZYBzoux6J/LOFveJ53KREAKKDk=",

build/torch-cuda/metadata.json.sigstore CHANGED Viewed

@@ -1 +1 @@

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