[MUSA][18/N] Add MUSA-optimized kernel implementations for hot ops (#23255)
Signed-off-by: Joey-gvwal <joey_gvwal@yeah.net> Co-authored-by: R0CKSTAR <yeahdongcn@gmail.com>
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/*
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* Copyright (c) 2020-2026, Moore Threads Technology Co., Ltd("Moore Threads").
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* All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* 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, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/*
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* Adapted from
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* https://github.com/pytorch/pytorch/blob/v2.0.1/aten/src/ATen/Dispatch.h
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*/
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#pragma once
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#include <torch/all.h>
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#define MUSA_LDG(arg) __ldg(arg)
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#define MUSA_DISPATCH_CASE_FLOATING_TYPES(...) \
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AT_DISPATCH_CASE(at::ScalarType::Float, __VA_ARGS__) \
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AT_DISPATCH_CASE(at::ScalarType::Half, __VA_ARGS__) \
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AT_DISPATCH_CASE(at::ScalarType::BFloat16, __VA_ARGS__)
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#define MUSA_DISPATCH_FLOATING_TYPES(TYPE, NAME, ...) \
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AT_DISPATCH_SWITCH(TYPE, NAME, MUSA_DISPATCH_CASE_FLOATING_TYPES(__VA_ARGS__))
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