mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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124 lines
10 KiB
C++
124 lines
10 KiB
C++
/*
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* MIT License
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*
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* Copyright (c) 2025 DeepSeek
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*
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* Copyright (c) 2022-2024, NVIDIA CORPORATION. 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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* reference: https://github.com/deepseek-ai/FlashMLA
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*/
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#pragma once
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#define CHECK_CUDA(call) \
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do \
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{ \
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cudaError_t status_ = call; \
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if (status_ != cudaSuccess) \
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{ \
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fprintf(stderr, "CUDA error (%s:%d): %s\n", __FILE__, __LINE__, cudaGetErrorString(status_)); \
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exit(1); \
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} \
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} while (0)
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#define CHECK_CUDA_KERNEL_LAUNCH() CHECK_CUDA(cudaGetLastError())
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#define FLASH_ASSERT(cond) \
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do \
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{ \
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if (not(cond)) \
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{ \
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fprintf(stderr, "Assertion failed (%s:%d): %s\n", __FILE__, __LINE__, #cond); \
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exit(1); \
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} \
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} while (0)
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#define FLASH_DEVICE_ASSERT(cond) \
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do \
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{ \
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if (not(cond)) \
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{ \
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printf("Assertion failed (%s:%d): %s\n", __FILE__, __LINE__, #cond); \
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asm("trap;"); \
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} \
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} while (0)
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#define BOOL_SWITCH(COND, CONST_NAME, ...) \
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[&] \
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{ \
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if (COND) \
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{ \
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constexpr static bool CONST_NAME = true; \
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return __VA_ARGS__(); \
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} \
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else \
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{ \
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constexpr static bool CONST_NAME = false; \
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return __VA_ARGS__(); \
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} \
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}()
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#define MLA_NUM_SPLITS_SWITCH(NUM_SPLITS, NAME, ...) \
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[&] \
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{ \
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if (NUM_SPLITS <= 32) \
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{ \
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constexpr static int NAME = 32; \
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return __VA_ARGS__(); \
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} \
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else if (NUM_SPLITS <= 64) \
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{ \
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constexpr static int NAME = 64; \
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return __VA_ARGS__(); \
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} \
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else if (NUM_SPLITS <= 96) \
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{ \
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constexpr static int NAME = 96; \
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return __VA_ARGS__(); \
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} \
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else if (NUM_SPLITS <= 128) \
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{ \
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constexpr static int NAME = 128; \
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return __VA_ARGS__(); \
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} \
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else if (NUM_SPLITS <= 160) \
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{ \
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constexpr static int NAME = 160; \
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return __VA_ARGS__(); \
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} \
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else \
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{ \
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FLASH_ASSERT(false); \
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} \
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}()
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