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kernels-bot commited on Aug 26

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8edaab2

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1 Parent(s): 3aede94

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.gitattributes +3 -0
build/torch212-metal-aarch64-darwin/{_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so → _mlx_quantization_metal_kernels_metal_addf474.abi3.so} +2 -2
build/torch212-metal-aarch64-darwin/_ops.py +3 -3
build/torch212-metal-aarch64-darwin/metadata.json +6 -6
build/torch212-metal-aarch64-darwin/metadata.json.sigstore +1 -1
build/torch212-metal-aarch64-darwin/mlx_quantization_metal_kernels/__init__.py +0 -26
build/torch213-metal-aarch64-darwin/{_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so → _mlx_quantization_metal_kernels_metal_addf474.abi3.so} +2 -2
build/torch213-metal-aarch64-darwin/_ops.py +3 -3
build/torch213-metal-aarch64-darwin/metadata.json +6 -6
build/torch213-metal-aarch64-darwin/metadata.json.sigstore +1 -1
build/torch213-metal-aarch64-darwin/mlx_quantization_metal_kernels/__init__.py +0 -26
build/torch214-metal-aarch64-darwin/__init__.py +162 -0
build/torch214-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_addf474.abi3.so +3 -0
build/torch214-metal-aarch64-darwin/_ops.py +9 -0
build/torch214-metal-aarch64-darwin/metadata.json +30 -0
build/torch214-metal-aarch64-darwin/metadata.json.sigstore +1 -0

.gitattributes CHANGED Viewed

@@ -47,3 +47,6 @@ build/torch213-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_2e4b97
 build/torch211-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch212-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch213-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text

 build/torch211-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch212-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
 build/torch213-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch212-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch213-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text
+build/torch214-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_addf474.abi3.so filter=lfs diff=lfs merge=lfs -text

build/torch212-metal-aarch64-darwin/{_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so → _mlx_quantization_metal_kernels_metal_addf474.abi3.so} RENAMED Viewed

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 version https://git-lfs.github.com/spec/v1
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build/torch212-metal-aarch64-darwin/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _mlx_quantization_metal_kernels_metal_8a730d9
-ops = torch.ops._mlx_quantization_metal_kernels_metal_8a730d9
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_mlx_quantization_metal_kernels_metal_8a730d9::{op_name}"

 import torch
+from . import _mlx_quantization_metal_kernels_metal_addf474
+ops = torch.ops._mlx_quantization_metal_kernels_metal_addf474
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_mlx_quantization_metal_kernels_metal_addf474::{op_name}"

build/torch212-metal-aarch64-darwin/metadata.json CHANGED Viewed

@@ -1,9 +1,10 @@
 {
   "name": "mlx-quantization-metal-kernels",
-  "id": "_mlx_quantization_metal_kernels_metal_8a730d9",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
   "backend": {
     "type": "metal"
   },
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       "dirty": false
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 {
   "name": "mlx-quantization-metal-kernels",
+  "id": "_mlx_quantization_metal_kernels_metal_addf474",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
+  "kernel-depends": [],
   "backend": {
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     "files": {
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build/torch212-metal-aarch64-darwin/mlx_quantization_metal_kernels/__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-metal-aarch64-darwin/{_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so → _mlx_quantization_metal_kernels_metal_addf474.abi3.so} RENAMED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:720b247620d8841dc4f9c2d6563d4702156f21e79d99304a090551bbbac45252
-size 40011192

 version https://git-lfs.github.com/spec/v1
+oid sha256:e68aa77fdea01dd53250b423288ae38cbe98105699fea5190acf560dac498609
+size 40011240

build/torch213-metal-aarch64-darwin/_ops.py CHANGED Viewed

@@ -1,9 +1,9 @@
 import torch
-from . import _mlx_quantization_metal_kernels_metal_8a730d9
-ops = torch.ops._mlx_quantization_metal_kernels_metal_8a730d9
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
-    return f"_mlx_quantization_metal_kernels_metal_8a730d9::{op_name}"

 import torch
+from . import _mlx_quantization_metal_kernels_metal_addf474
+ops = torch.ops._mlx_quantization_metal_kernels_metal_addf474
 def add_op_namespace_prefix(op_name: str):
     """
     Prefix op by namespace.
     """
+    return f"_mlx_quantization_metal_kernels_metal_addf474::{op_name}"

build/torch213-metal-aarch64-darwin/metadata.json CHANGED Viewed

@@ -1,9 +1,10 @@
 {
   "name": "mlx-quantization-metal-kernels",
-  "id": "_mlx_quantization_metal_kernels_metal_8a730d9",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
   "backend": {
     "type": "metal"
   },
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     "files": {
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-      "_mlx_quantization_metal_kernels_metal_8a730d9.abi3.so": "cgskdiDYhB3E+cLWVj1HAhVvIeedmTBKCQVRu7rEUlI=",
-      "_ops.py": "k/mOW/9n5lXitW6Vwn+cFs/EkaexScrwsndZleXRuvI=",
-      "mlx_quantization_metal_kernels/__init__.py": "DFYPlrhXwYjEqCl/8n0SmWGZV8NFml5DPhMjKfv98GY="
     }
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       "dirty": false
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     "kernel": {
-      "sha": "8a730d96c37560ccf1d3e09f7bbccdc886818f33",
       "dirty": false
     }
   }

 {
   "name": "mlx-quantization-metal-kernels",
+  "id": "_mlx_quantization_metal_kernels_metal_addf474",
   "version": 1,
   "license": "MIT",
   "python-depends": [],
+  "kernel-depends": [],
   "backend": {
     "type": "metal"
   },
     "algorithm": "sha256",
     "files": {
       "__init__.py": "RPKCn/crnlxPPRM3jVlrOE93840kDxotM2/B0Tw2Rp4=",
+      "_mlx_quantization_metal_kernels_metal_addf474.abi3.so": "5oqnf96gHdUyULQjKIrjjL6YEFaZ/qUZCs9WDaxJhgk=",
+      "_ops.py": "R3tE/FNNPqVu3lFXLQtc1FSA3Z4f7saY96Orv5/lVK8="
     }
   },
   "provenance": {
     "kernel-builder": {
       "version": "0.17.0-dev0",
+      "commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
       "dirty": false
     },
     "kernel": {
+      "commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
       "dirty": false
     }
   }

build/torch213-metal-aarch64-darwin/metadata.json.sigstore CHANGED Viewed

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build/torch213-metal-aarch64-darwin/mlx_quantization_metal_kernels/__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-metal-aarch64-darwin/__init__.py ADDED Viewed

	@@ -0,0 +1,162 @@

+from typing import Optional
+import torch
+from ._ops import ops
+# =============================================================================
+# FP-quantized (MXFP4) operations
+# =============================================================================
+def mxfp4_qmm_n(
+    x: torch.Tensor,
+    w: torch.Tensor,
+    scales: torch.Tensor,
+    output_features: int,
+) -> torch.Tensor:
+    """Matrix-matrix multiply with MXFP4 quantized non-transposed weight.
+    Computes y = x @ dequantize(w, scales).
+    x: [..., M, K], w: [K_packed, N_packed] (uint32), y: [..., M, output_features]
+    """
+    return ops.mxfp4_qmm_n(x, w, scales, output_features)
+def mxfp4_qmv(
+    x: torch.Tensor,
+    w: torch.Tensor,
+    scales: torch.Tensor,
+    output_features: int,
+) -> torch.Tensor:
+    """Matrix-vector multiply with MXFP4 quantized weight.
+    Computes y = dequantize(w, scales) @ x.
+    x: [..., K], w: [N, K_packed] (uint32), y: [..., output_features]
+    """
+    return ops.mxfp4_qmv(x, w, scales, output_features)
+# =============================================================================
+# Affine quantized operations (scales + biases)
+# =============================================================================
+def affine_qmv(
+    x: torch.Tensor,
+    w: torch.Tensor,
+    scales: torch.Tensor,
+    biases: torch.Tensor,
+    output_features: int,
+    group_size: int = 128,
+    bits: int = 4,
+) -> torch.Tensor:
+    """Matrix-vector multiply with affine quantized weight.
+    x: [..., K], w: [N, K_packed], y: [..., output_features]
+    """
+    return ops.affine_qmv(x, w, scales, biases, group_size, bits, output_features)
+def affine_qmm_t(
+    x: torch.Tensor,
+    w: torch.Tensor,
+    scales: torch.Tensor,
+    biases: torch.Tensor,
+    group_size: int = 128,
+    bits: int = 4,
+) -> torch.Tensor:
+    """Matrix-matrix multiply with affine quantized transposed weight.
+    Computes y = x @ dequantize(w, scales, biases).T
+    x: [..., M, K], w: [N, K_packed], y: [..., M, N]
+    N is inferred from w.size(0).
+    """
+    return ops.affine_qmm_t(x, w, scales, biases, group_size, bits)
+def affine_qmm_n(
+    x: torch.Tensor,
+    w: torch.Tensor,
+    scales: torch.Tensor,
+    biases: torch.Tensor,
+    output_features: int,
+    group_size: int = 128,
+    bits: int = 4,
+) -> torch.Tensor:
+    """Matrix-matrix multiply with affine quantized non-transposed weight.
+    Computes y = x @ dequantize(w, scales, biases)
+    x: [..., M, K], w: [K_packed, N_packed], y: [..., M, output_features]
+    """
+    return ops.affine_qmm_n(x, w, scales, biases, group_size, bits, output_features)
+# =============================================================================
+# Affine quantized NAX operations (MetalPerformancePrimitives accelerated)
+# =============================================================================
+def affine_qmm_t_nax(
+    x: torch.Tensor,
+    w: torch.Tensor,
+    scales: torch.Tensor,
+    biases: torch.Tensor,
+    group_size: int = 128,
+    bits: int = 4,
+) -> torch.Tensor:
+    """NAX-accelerated matrix-matrix multiply with transposed quantized weight.
+    x: [..., M, K], w: [N, K_packed], y: [..., M, N]
+    """
+    return ops.affine_qmm_t_nax(x, w, scales, biases, group_size, bits)
+def affine_qmm_n_nax(
+    x: torch.Tensor,
+    w: torch.Tensor,
+    scales: torch.Tensor,
+    biases: torch.Tensor,
+    output_features: int,
+    group_size: int = 128,
+    bits: int = 4,
+) -> torch.Tensor:
+    """NAX-accelerated matrix-matrix multiply with non-transposed quantized weight.
+    x: [..., M, K], w: [K_packed, N_packed], y: [..., M, output_features]
+    """
+    return ops.affine_qmm_n_nax(x, w, scales, biases, group_size, bits, output_features)
+def affine_gather_qmm_rhs_nax(
+    x: torch.Tensor,
+    w: torch.Tensor,
+    scales: torch.Tensor,
+    biases: torch.Tensor,
+    indices: torch.Tensor,
+    output_features: int,
+    group_size: int = 128,
+    bits: int = 4,
+    transpose: bool = True,
+) -> torch.Tensor:
+    """NAX-accelerated gather + matrix-matrix multiply.
+    Gathers weight rows using indices, then computes matmul.
+    x: [M, K], w: [num_experts, ...], indices: [M], y: [M, output_features]
+    """
+    return ops.affine_gather_qmm_rhs_nax(
+        x, w, scales, biases, indices, group_size, bits, output_features, transpose
+    )
+__all__ = [
+    "mxfp4_qmm_n",
+    "mxfp4_qmv",
+    "affine_qmv",
+    "affine_qmm_t",
+    "affine_qmm_n",
+    "affine_qmm_t_nax",
+    "affine_qmm_n_nax",
+    "affine_gather_qmm_rhs_nax",
+]

build/torch214-metal-aarch64-darwin/_mlx_quantization_metal_kernels_metal_addf474.abi3.so ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:26146392dfe61b7b69d14e33430c68e0e487987959a3c161f203ad8b36b857cb
+size 40011496

build/torch214-metal-aarch64-darwin/_ops.py ADDED Viewed

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

+import torch
+from . import _mlx_quantization_metal_kernels_metal_addf474
+ops = torch.ops._mlx_quantization_metal_kernels_metal_addf474
+def add_op_namespace_prefix(op_name: str):
+    """
+    Prefix op by namespace.
+    """
+    return f"_mlx_quantization_metal_kernels_metal_addf474::{op_name}"

build/torch214-metal-aarch64-darwin/metadata.json ADDED Viewed

	@@ -0,0 +1,30 @@

+{
+  "name": "mlx-quantization-metal-kernels",
+  "id": "_mlx_quantization_metal_kernels_metal_addf474",
+  "version": 1,
+  "license": "MIT",
+  "python-depends": [],
+  "kernel-depends": [],
+  "backend": {
+    "type": "metal"
+  },
+  "digest": {
+    "algorithm": "sha256",
+    "files": {
+      "__init__.py": "RPKCn/crnlxPPRM3jVlrOE93840kDxotM2/B0Tw2Rp4=",
+      "_mlx_quantization_metal_kernels_metal_addf474.abi3.so": "JhRjkt/mG3tp0U4zQwxo4OSHmHlZo8Fh8gOtiza4V8s=",
+      "_ops.py": "R3tE/FNNPqVu3lFXLQtc1FSA3Z4f7saY96Orv5/lVK8="
+    }
+  },
+  "provenance": {
+    "kernel-builder": {
+      "version": "0.17.0-dev0",
+      "commit": "081dcd473f8eca27226eef1f9c47c45b86c756b5",
+      "dirty": false
+    },
+    "kernel": {
+      "commit": "addf4741fafb55b4c101b15985dfaeea7c7c2f3a",
+      "dirty": false
+    }
+  }
+}

build/torch214-metal-aarch64-darwin/metadata.json.sigstore ADDED Viewed

	@@ -0,0 +1 @@

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