chore: import upstream snapshot with attribution
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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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