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flash-attn-ops

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kernels-bot commited on 8 days ago

Commit

873efcd

verified ·

1 Parent(s): 75382a5

Uploaded using `kernel-builder`.

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Files changed (4) hide show

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 +445 -0

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 = "flash_attn_ops"
-    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 = "flash_attn_ops"
+    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": "flash-attn-ops",
-  "id": "_flash_attn_ops_rocm_89d4054",
   "version": 1,
   "kernels-minver": "0.14.0",
   "license": "BSD-3-Clause",
@@ -13,12 +13,13 @@
     "algorithm": "sha256",
     "files": {
       "__init__.py": "CN2UymE7gbYnzhbAm92qHBHVC/as55EjJsW+EQt5eaM=",
-      "_ops.py": "ueI7h7KMraG8PDYTyXWiBFAjWlk7zwbtepBEGIPpNWQ=",
       "cross_entropy.py": "y56nmuOtpSNxM7sDZcUSgXKIsIEayfuvrU8bAVog/nw=",
       "k_activations.py": "+Z3vIyO4JkqBMipKsPvhzmxljtBdIhJCsl/M+/ESqBo=",
       "layer_norm.py": "SVUTedaQF7zdKwg4bNnr8NPWFSUPB+88kSLWyPkykh0=",
       "losses.py": "YhTM9q3Qouq8QoFy1hryAXFC2A6scVtnReoNa+l99YQ=",
       "rotary.py": "0gN+YjhUxwL7B1eE/kKS1Kida5rBrjPKs9Z4j4+U8kA=",
       "utils/__init__.py": "47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU=",
       "utils/library.py": "nKTJmAHNSqc30g95/NPDtvqzP4GWgYN0BNh015AFzYM=",
       "utils/torch.py": "7mVlWFrCGE7XuCLO9oHa5Z8c4HPLYnE0ojYOJHh8JiQ="
@@ -26,12 +27,12 @@
   },
   "provenance": {
     "kernel-builder": {
-      "version": "0.17.0-dev0",
-      "commit": "a7f0afdb29a6a3372b1d47180cc0c182454c5e3b",
       "dirty": false
     },
     "kernel": {
-      "commit": "89d4054f3755039d5474cfed03f06de026ee2ce7",
       "dirty": false
     }
   }

 {
   "name": "flash-attn-ops",
+  "id": "_flash_attn_ops_rocm_fe2bb66",
   "version": 1,
   "kernels-minver": "0.14.0",
   "license": "BSD-3-Clause",
     "algorithm": "sha256",
     "files": {
       "__init__.py": "CN2UymE7gbYnzhbAm92qHBHVC/as55EjJsW+EQt5eaM=",
+      "_ops.py": "2zaKBfe2mm/8vf1hDyg4DQABbbHzmiwVwtDMNdMOr8Y=",
       "cross_entropy.py": "y56nmuOtpSNxM7sDZcUSgXKIsIEayfuvrU8bAVog/nw=",
       "k_activations.py": "+Z3vIyO4JkqBMipKsPvhzmxljtBdIhJCsl/M+/ESqBo=",
       "layer_norm.py": "SVUTedaQF7zdKwg4bNnr8NPWFSUPB+88kSLWyPkykh0=",
       "losses.py": "YhTM9q3Qouq8QoFy1hryAXFC2A6scVtnReoNa+l99YQ=",
       "rotary.py": "0gN+YjhUxwL7B1eE/kKS1Kida5rBrjPKs9Z4j4+U8kA=",
+      "symbols.json": "o01505AXORTEsz+QeFlyxsS5GAy6QULtigqfMGHDZes=",
       "utils/__init__.py": "47DEQpj8HBSa+/TImW+5JCeuQeRkm5NMpJWZG3hSuFU=",
       "utils/library.py": "nKTJmAHNSqc30g95/NPDtvqzP4GWgYN0BNh015AFzYM=",
       "utils/torch.py": "7mVlWFrCGE7XuCLO9oHa5Z8c4HPLYnE0ojYOJHh8JiQ="
   },
   "provenance": {
     "kernel-builder": {
+      "version": "0.18.0-dev0",
+      "commit": "d054906a13710b811b96697b4635f03020842733",
       "dirty": false
     },
     "kernel": {
+      "commit": "fe2bb66fee6c2a77eccf08a0508dc57428d488ed",
       "dirty": false
     }
   }

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

@@ -1 +1 @@

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build/torch-rocm/symbols.json ADDED Viewed

	@@ -0,0 +1,445 @@

+{
+  "schema_version": 1,
+  "module": "_flash_attn_ops_rocm_fe2bb66",
+  "functions": [
+    {
+      "name": "cross_entropy_loss",
+      "qualname": "cross_entropy_loss",
+      "module": "_flash_attn_ops_rocm_fe2bb66.cross_entropy",
+      "kind": "function",
+      "doc": "Arguments:\n    logits: (batch, vocab_size)\n    labels: (batch,)\n    label_smoothing: float\n    logit_scale: float. Multiply logits by this scale before calculating the loss.\n    lse_square_scale: float. If > 0, we add lse_square_scale * lse(logits) ^ 2 to the loss.\n        This is also referred to as \"z-loss\".\n    ignore_index: int. If labels == ignore_index, the loss is set to 0.0.\n    inplace_backward: bool. If True, we do the backward pass in-place by modifying the logits.\n        This saves memory.\n    process_group: if not None, we're doing Tensor Parallel: each process is responsible for\n        one part of the vocab. The loss will be aggregated across processes.\nReturns:\n    losses: (batch,), float\n    z_losses: (batch,), float",
+      "signature": {
+        "parameters": [
+          {
+            "name": "logits",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": "torch.Tensor"
+          },
+          {
+            "name": "labels",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": "torch.Tensor"
+          },
+          {
+            "name": "precomputed_lse",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": "torch.Tensor | None"
+          },
+          {
+            "name": "label_smoothing",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "0.0",
+            "annotation": "float"
+          },
+          {
+            "name": "logit_scale",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "1.0",
+            "annotation": "float"
+          },
+          {
+            "name": "lse_square_scale",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "0.0",
+            "annotation": "float"
+          },
+          {
+            "name": "ignore_index",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "-100",
+            "annotation": null
+          },
+          {
+            "name": "inplace_backward",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": "bool"
+          },
+          {
+            "name": "process_group",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          }
+        ],
+        "return_annotation": "Tuple[torch.Tensor, torch.Tensor]"
+      }
+    },
+    {
+      "name": "apply_rotary",
+      "qualname": "apply_rotary",
+      "module": "_flash_attn_ops_rocm_fe2bb66.rotary",
+      "kind": "function",
+      "doc": "Arguments:\n    x: (batch, seqlen, nheads, headdim) if cu_seqlens is None\n        else (total_seqlen, nheads, headdim).\n    cos: (seqlen_ro, rotary_dim / 2)\n    sin: (seqlen_ro, rotary_dim / 2)\n    seqlen_offsets: integer or integer tensor of size (batch,)\n    cu_seqlens: (batch + 1,) or None\n    max_seqlen: int\nReturns:\n    y: (batch, seqlen, nheads, headdim)",
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+        "parameters": [
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+            "name": "x",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": "torch.Tensor"
+          },
+          {
+            "name": "cos",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": "torch.Tensor"
+          },
+          {
+            "name": "sin",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": "torch.Tensor"
+          },
+          {
+            "name": "seqlen_offsets",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "0",
+            "annotation": "int | torch.Tensor"
+          },
+          {
+            "name": "cu_seqlens",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": "torch.Tensor | None"
+          },
+          {
+            "name": "max_seqlen",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": "int | None"
+          },
+          {
+            "name": "interleaved",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "inplace",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "conjugate",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          }
+        ],
+        "return_annotation": "torch.Tensor"
+      }
+    },
+    {
+      "name": "layer_norm_fn",
+      "qualname": "layer_norm_fn",
+      "module": "_flash_attn_ops_rocm_fe2bb66.layer_norm",
+      "kind": "function",
+      "doc": null,
+      "signature": {
+        "parameters": [
+          {
+            "name": "x",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "weight",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
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+            "name": "bias",
+            "kind": "POSITIONAL_OR_KEYWORD",
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+            "annotation": null
+          },
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+            "kind": "POSITIONAL_OR_KEYWORD",
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+            "annotation": null
+          },
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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
+          {
+            "name": "bias1",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
+          {
+            "name": "eps",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "1e-06",
+            "annotation": null
+          },
+          {
+            "name": "dropout_p",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "0.0",
+            "annotation": null
+          },
+          {
+            "name": "rowscale",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
+          {
+            "name": "prenorm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "residual_in_fp32",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "zero_centered_weight",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "is_rms_norm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "return_dropout_mask",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "out_dtype",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
+          {
+            "name": "out",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    },
+    {
+      "name": "rms_norm_fn",
+      "qualname": "rms_norm_fn",
+      "module": "_flash_attn_ops_rocm_fe2bb66.layer_norm",
+      "kind": "function",
+      "doc": null,
+      "signature": {
+        "parameters": [
+          {
+            "name": "x",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "weight",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
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+            "annotation": null
+          },
+          {
+            "name": "bias1",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
+          {
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+            "annotation": null
+          },
+          {
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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "0.0",
+            "annotation": null
+          },
+          {
+            "name": "rowscale",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
+          {
+            "name": "prenorm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "residual_in_fp32",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "zero_centered_weight",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "return_dropout_mask",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "out_dtype",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
+          {
+            "name": "out",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
+          {
+            "name": "residual_out",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    },
+    {
+      "name": "layer_norm_linear_fn",
+      "qualname": "layer_norm_linear_fn",
+      "module": "_flash_attn_ops_rocm_fe2bb66.layer_norm",
+      "kind": "function",
+      "doc": null,
+      "signature": {
+        "parameters": [
+          {
+            "name": "x",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "norm_weight",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "norm_bias",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "linear_weight",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "linear_bias",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": null,
+            "annotation": null
+          },
+          {
+            "name": "residual",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "None",
+            "annotation": null
+          },
+          {
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+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "1e-06",
+            "annotation": null
+          },
+          {
+            "name": "prenorm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "residual_in_fp32",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          },
+          {
+            "name": "is_rms_norm",
+            "kind": "POSITIONAL_OR_KEYWORD",
+            "default": "False",
+            "annotation": null
+          }
+        ],
+        "return_annotation": null
+      }
+    }
+  ],
+  "layers": []
+}