/* * SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: Apache-2.0 * * Licensed 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. */ #ifndef TRT_SELECTIVE_SCAN_PLUGIN_H #define TRT_SELECTIVE_SCAN_PLUGIN_H #include "tensorrt_llm/kernels/selectiveScan.h" #include "tensorrt_llm/plugins/common/plugin.h" #include namespace tensorrt_llm::plugins { // batch_size = num_ctx_requests or num_gen_requests // num_ctx_requests = number of context requests (single sequence per request). // num_gen_requests = number of generation requests (single sequences per request). // can not support beam search // inputs // 0. input_tensor [batch_size, dim, seq_len] // 1. state [batch_size, dim, dstate] // 2. delta [batch_size, dim, seq_len] // 3. delta_bias [dim] // 4. A [dim, seq_len] // 5. B [batch_size, dstate, seq_len] // 6. C [batch_size, dstate, seq_len] // 7. D [dim] // 8. z [batch_size, dim, seq_len] // 9. host_request_types [batch_size] int32. 0: context; 1: generation; 2: none. // outputs // 0. output_tensor [batch_size, dim, seq_len] // 1. state [batch_size, dim, dstate] class SelectiveScanPlugin : public BasePlugin { public: SelectiveScanPlugin( int dim, int dstate, bool isVariableB, bool isVariableC, bool deltaSoftplus, nvinfer1::DataType type); SelectiveScanPlugin(const void* data, size_t length); ~SelectiveScanPlugin() override = default; // IPluginV2DynamicExt Methods nvinfer1::IPluginV2DynamicExt* clone() const noexcept override; nvinfer1::DimsExprs getOutputDimensions(int outputIndex, const nvinfer1::DimsExprs* inputs, int nbInputs, nvinfer1::IExprBuilder& exprBuilder) noexcept override; bool supportsFormatCombination( int pos, const nvinfer1::PluginTensorDesc* inOut, int nbInputs, int nbOutputs) noexcept override; void configurePlugin(const nvinfer1::DynamicPluginTensorDesc* in, int nbInputs, const nvinfer1::DynamicPluginTensorDesc* out, int nbOutputs) noexcept override; size_t getWorkspaceSize(const nvinfer1::PluginTensorDesc* inputs, int nbInputs, const nvinfer1::PluginTensorDesc* outputs, int nbOutputs) const noexcept override; int enqueue(const nvinfer1::PluginTensorDesc* inputDesc, const nvinfer1::PluginTensorDesc* outputDesc, const void* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept override; template int enqueueImpl(const nvinfer1::PluginTensorDesc* inputDesc, const nvinfer1::PluginTensorDesc* outputDesc, const void* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream); // IPluginV2Ext Methods nvinfer1::DataType getOutputDataType( int index, const nvinfer1::DataType* inputTypes, int nbInputs) const noexcept override; // IPluginV2 Methods const char* getPluginType() const noexcept override; const char* getPluginVersion() const noexcept override; int getNbOutputs() const noexcept override; int initialize() noexcept override; void terminate() noexcept override; size_t getSerializationSize() const noexcept override; void serialize(void* buffer) const noexcept override; void destroy() noexcept override; enum class RequestType : int32_t { kCONTEXT = 0, kGENERATION = 1 }; private: using IndexType = std::int32_t; IndexType getInputTensorIdx() const { return 0; }; IndexType getStateIdx() const { return 1; }; IndexType getDeltaIdx() const { return 2; }; IndexType getDeltaBiasIdx() const { return 3; }; IndexType getAIdx() const { return 4; }; IndexType getBIdx() const { return 5; }; IndexType getCIdx() const { return 6; }; IndexType getDIdx() const { return 7; }; IndexType getZIdx() const { return 8; }; IndexType getHostRequestTypesIdx() const { return 9; }; void setSSMParams(tensorrt_llm::kernels::SSMParamsBase& params, // sizes const size_t batch, const size_t dim, const size_t seqLen, const size_t dstate, const size_t nChunks, const bool isVariableB, const bool isVariableC, // device pointers void* statePtr, const void* x, const void* delta, const void* deltaBias, const void* A, const void* B, const void* C, const void* D, const void* z, void* out, // strides const size_t strideXBatch, const size_t strideDtBatch, const size_t strideADim, const size_t strideBBatch, const size_t strideCBatch, const size_t strideZBatch, const size_t strideOutBatch, const size_t strideStateBatch, const size_t strideStateDim, bool deltaSoftplus); private: int mDim; int mDState; bool mIsVariableB; bool mIsVariableC; bool mDeltaSoftplus; nvinfer1::DataType mType; }; class SelectiveScanPluginCreator : public BaseCreator { public: SelectiveScanPluginCreator(); const char* getPluginName() const noexcept override; const char* getPluginVersion() const noexcept override; const nvinfer1::PluginFieldCollection* getFieldNames() noexcept override; nvinfer1::IPluginV2* createPlugin(const char* name, const nvinfer1::PluginFieldCollection* fc) noexcept override; nvinfer1::IPluginV2* deserializePlugin( const char* name, const void* serialData, size_t serialLength) noexcept override; private: static nvinfer1::PluginFieldCollection mFC; static std::vector mPluginAttributes; }; } // namespace tensorrt_llm::plugins #endif // TRT_SELECTIVE_SCAN_PLUGIN_H