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https://github.com/NVIDIA/TensorRT-LLM.git
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16d2467ea8
* Update TensorRT-LLM --------- Co-authored-by: Denis Kayshev <topenkoff@gmail.com> Co-authored-by: akhoroshev <arthoroshev@gmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com> Update
103 lines
3.0 KiB
C++
103 lines
3.0 KiB
C++
/*
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* Copyright (c) 2020-2023, 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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#pragma once
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#include "tensorrt_llm/common/assert.h"
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#include <limits.h>
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#include <stdint.h>
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namespace tensorrt_llm
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{
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namespace kernels
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{
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enum Data_type
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{
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DATA_TYPE_BOOL,
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DATA_TYPE_FP16,
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DATA_TYPE_FP32,
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DATA_TYPE_INT4,
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DATA_TYPE_INT8,
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DATA_TYPE_INT32,
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DATA_TYPE_BF16,
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DATA_TYPE_E2M1,
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DATA_TYPE_E4M3,
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DATA_TYPE_E5M2
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};
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////////////////////////////////////////////////////////////////////////////////////////////////////
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static inline size_t get_size_in_bits(Data_type dtype)
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{
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switch (dtype)
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{
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case DATA_TYPE_FP32: return 32;
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case DATA_TYPE_FP16: return 16;
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case DATA_TYPE_INT32: return 32;
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case DATA_TYPE_INT8: return 8;
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case DATA_TYPE_BF16: return 16;
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case DATA_TYPE_E2M1: return 4;
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case DATA_TYPE_E4M3: return 8;
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case DATA_TYPE_E5M2: return 8;
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default: TLLM_CHECK_WITH_INFO(false, "FMHA Data Type is not supported."); return 0;
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}
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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static inline size_t get_size_in_bytes(size_t n, Data_type dtype)
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{
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switch (dtype)
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{
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case DATA_TYPE_FP32: return n * 4;
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case DATA_TYPE_FP16: return n * 2;
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case DATA_TYPE_INT32: return n * 4;
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case DATA_TYPE_INT8: return n;
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case DATA_TYPE_BF16: return n * 2;
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case DATA_TYPE_E2M1: TLLM_CHECK_WITH_INFO(n % 2 == 0, "Not supported."); return n / 2;
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case DATA_TYPE_E4M3: return n;
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case DATA_TYPE_E5M2: return n;
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default: TLLM_CHECK_WITH_INFO(false, "FMHA Data Type is not supported."); return 0;
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}
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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static inline size_t get_size_in_bytes(Data_type dtype)
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{
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return get_size_in_bytes(1, dtype);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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constexpr int32_t kSM_70 = 70;
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constexpr int32_t kSM_72 = 72;
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constexpr int32_t kSM_75 = 75;
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constexpr int32_t kSM_80 = 80;
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constexpr int32_t kSM_86 = 86;
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constexpr int32_t kSM_89 = 89;
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constexpr int32_t kSM_90 = 90;
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constexpr int32_t kSM_100 = 100;
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constexpr int32_t kSM_120 = 120;
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////////////////////////////////////////////////////////////////////////////////////////////////////
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static constexpr int kIdxScaleSoftmaxPtr = 0;
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static constexpr int kIdxScaleSoftmaxLog2Ptr = 1;
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} // namespace kernels
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} // namespace tensorrt_llm
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