chore: import upstream snapshot with attribution
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@@ -0,0 +1,89 @@
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Metal-owned TIRx modules."""
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from importlib import import_module
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from pathlib import Path
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from tvm_ffi.libinfo import load_lib_ctypes
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from tvm.base import _LOADED_LIBS
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_LAZY_SUBMODULES = {"op", "script", "target_tags"}
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def _detect_target_from_device(dev):
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from tvm.target import Target # pylint: disable=import-outside-toplevel
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return Target(
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{
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"kind": "metal",
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"max_shared_memory_per_block": 32768,
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"max_threads_per_block": dev.max_threads_per_block,
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"thread_warp_size": dev.warp_size,
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}
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)
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def register_backend():
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"""Register Metal-owned Python semantics."""
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from tvm.target.detect_target import register_device_target_detector
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from tvm.tirx.script.builder import ir as builder_ir # pylint: disable=import-outside-toplevel
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runtime_dir = Path(_LOADED_LIBS["tvm_runtime"]._name).resolve().parent
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try:
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# Runtime sidecars only need registration side effects; libtvm_runtime is global.
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_LOADED_LIBS["tvm_runtime_metal"] = load_lib_ctypes(
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package="tvm",
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target_name="tvm_runtime_metal",
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extra_lib_paths=[runtime_dir],
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mode="RTLD_LOCAL",
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)
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except (OSError, FileNotFoundError, RuntimeError):
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pass
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register_device_target_detector("metal", _detect_target_from_device)
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for name, namespace in script_namespaces().items():
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builder_ir.register_script_namespace(name, namespace)
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import_module(f"{__name__}.target_tags")
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def script_namespaces(**_):
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"""Return Metal-owned TVMScript namespaces."""
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from .script import MetalNamespace # pylint: disable=import-outside-toplevel
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return {"metal": MetalNamespace()}
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def script_namespace(**kwargs):
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"""Return the Metal TVMScript namespace object."""
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return script_namespaces(**kwargs)["metal"]
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def __getattr__(name: str):
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if name in _LAZY_SUBMODULES:
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return import_module(f"{__name__}.{name}")
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raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
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__all__ = [
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"op",
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"register_backend",
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"script",
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"script_namespace",
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"script_namespaces",
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"target_tags",
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]
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@@ -0,0 +1,84 @@
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Metal-owned TIR intrinsic builders."""
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from __future__ import annotations
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from tvm.tirx.op import call_intrin
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def make_filled_simdgroup_matrix(d, index, value, col=8, row=8):
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"""Create a filled SIMDGroup matrix."""
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return call_intrin("void", "tirx.make_filled_simdgroup_matrix", d, index, value, col, row)
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def simdgroup_load(d, index, ptr, stride, col=8, row=8, transpose_matrix=False):
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"""Load data from device or threadgroup memory to simdgroup."""
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return call_intrin(
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"void",
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"tirx.simdgroup_load",
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d,
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index,
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ptr,
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stride,
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col,
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row,
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transpose_matrix,
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)
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def simdgroup_store(d, index, ptr, stride, col=8, row=8, transpose_matrix=False):
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"""Store data from simdgroup to device or threadgroup memory."""
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return call_intrin(
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"void",
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"tirx.simdgroup_store",
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d,
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index,
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ptr,
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stride,
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col,
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row,
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transpose_matrix,
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)
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def simdgroup_multiply_accumulate(d, index_d, a, index_a, b, index_b, c, index_c):
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"""Multiply and accumulate two matrices in simdgroup."""
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return call_intrin(
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"void",
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"tirx.simdgroup_multiply_accumulate",
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d,
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index_d,
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a,
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index_a,
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b,
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index_b,
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c,
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index_c,
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)
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__all__ = [
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"make_filled_simdgroup_matrix",
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"simdgroup_load",
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"simdgroup_multiply_accumulate",
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"simdgroup_store",
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]
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@@ -0,0 +1,55 @@
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Metal TVMScript namespace."""
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from __future__ import annotations
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from tvm.backend.metal import op as _metal_op
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from tvm.tirx import Buffer
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from tvm.tirx import op as _tir_op
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from tvm.tirx.script.builder.ir import _op_wrapper
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class MetalNamespace:
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"""The Metal intrinsics submodule."""
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def __init__(self):
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self.make_filled_simdgroup_matrix = _op_wrapper(_metal_op.make_filled_simdgroup_matrix)
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self.simdgroup_load = _op_wrapper(_metal_op.simdgroup_load)
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self.simdgroup_store = _op_wrapper(_metal_op.simdgroup_store)
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self.simdgroup_multiply_accumulate = _op_wrapper(_metal_op.simdgroup_multiply_accumulate)
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@staticmethod
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def simd_shuffle(var, lane):
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if isinstance(var, Buffer):
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var = var[0]
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return _tir_op.call_intrin(var.ty, "tirx.metal.simd_shuffle", var, lane)
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@staticmethod
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def simd_shuffle_up(var, delta):
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if isinstance(var, Buffer):
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var = var[0]
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return _tir_op.call_intrin(var.ty, "tirx.metal.simd_shuffle_up", var, delta)
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@staticmethod
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def simd_shuffle_down(var, delta):
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if isinstance(var, Buffer):
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var = var[0]
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return _tir_op.call_intrin(var.ty, "tirx.metal.simd_shuffle_down", var, delta)
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__all__ = ["MetalNamespace"]
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@@ -0,0 +1,50 @@
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Apple Metal GPU target tags."""
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from tvm.target import register_tag
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_METAL_HOST_TRIPLE = "arm64-apple-macos"
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def _register_metal_tag(name, max_threads, shared_mem, warp_size, mcpu):
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try:
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from tvm.target.codegen import llvm_is_valid_cpu
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if not llvm_is_valid_cpu(mcpu, _METAL_HOST_TRIPLE):
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return
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except Exception: # pylint: disable=broad-except
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pass # LLVM not available; register unconditionally
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register_tag(
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name,
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{
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"kind": "metal",
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"max_threads_per_block": max_threads,
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"max_shared_memory_per_block": shared_mem,
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"thread_warp_size": warp_size,
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"host": {
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"kind": "llvm",
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"mtriple": _METAL_HOST_TRIPLE,
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"mcpu": mcpu,
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},
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},
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)
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_register_metal_tag("apple/m1-gpu", 1024, 32768, 32, "apple-m1")
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_register_metal_tag("apple/m1-gpu-restricted", 256, 32768, 32, "apple-m1")
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_register_metal_tag("apple/m2-gpu", 1024, 32768, 32, "apple-m2")
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