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e06f537e08
* Update TensorRT-LLM --------- Co-authored-by: erenup <ping.nie@pku.edu.cn> Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
58 lines
1.8 KiB
C++
58 lines
1.8 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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#include "tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderXQAImpl.h"
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#include "tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderXQAImplPrecompiled.h"
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#include <cassert>
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#include <functional>
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#include <memory>
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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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template <>
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void DecoderXQAImpl::run(const XQAParams& xqa_params, KVLinearBuffer& kv_linear_buffer,
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int2& rotary_kernel_launch_cache, const cudaStream_t& stream)
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{
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runWithKVLinearBuffer(xqa_params, kv_linear_buffer, rotary_kernel_launch_cache, stream);
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}
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template <>
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void DecoderXQAImpl::run(const XQAParams& xqa_params, KVBlockArray& kv_block_array, int2& rotary_kernel_launch_cache,
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const cudaStream_t& stream)
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{
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runWithKVBlockArray(xqa_params, kv_block_array, rotary_kernel_launch_cache, stream);
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}
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std::unique_ptr<DecoderXQAImpl> DecoderXQAImpl::create(DecoderXQARunner* runner, ImplType implType)
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{
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switch (implType)
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{
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case ImplType::kPrecompiled: return std::unique_ptr<DecoderXQAImpl>(new DecoderXQAImplPrecompiled(runner));
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// TODO(minwei): JIT impl.
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case ImplType::kJIT: return nullptr;
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}
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// Shouldn't reach here.
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assert(false);
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return nullptr;
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}
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} // namespace kernels
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} // namespace tensorrt_llm
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