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chore: import upstream snapshot with attribution
2026-07-13 13:36:25 +08:00

56 lines
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Python

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""Metal TVMScript namespace."""
from __future__ import annotations
from tvm.backend.metal import op as _metal_op
from tvm.tirx import Buffer
from tvm.tirx import op as _tir_op
from tvm.tirx.script.builder.ir import _op_wrapper
class MetalNamespace:
"""The Metal intrinsics submodule."""
def __init__(self):
self.make_filled_simdgroup_matrix = _op_wrapper(_metal_op.make_filled_simdgroup_matrix)
self.simdgroup_load = _op_wrapper(_metal_op.simdgroup_load)
self.simdgroup_store = _op_wrapper(_metal_op.simdgroup_store)
self.simdgroup_multiply_accumulate = _op_wrapper(_metal_op.simdgroup_multiply_accumulate)
@staticmethod
def simd_shuffle(var, lane):
if isinstance(var, Buffer):
var = var[0]
return _tir_op.call_intrin(var.ty, "tirx.metal.simd_shuffle", var, lane)
@staticmethod
def simd_shuffle_up(var, delta):
if isinstance(var, Buffer):
var = var[0]
return _tir_op.call_intrin(var.ty, "tirx.metal.simd_shuffle_up", var, delta)
@staticmethod
def simd_shuffle_down(var, delta):
if isinstance(var, Buffer):
var = var[0]
return _tir_op.call_intrin(var.ty, "tirx.metal.simd_shuffle_down", var, delta)
__all__ = ["MetalNamespace"]