mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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* Update TensorRT-LLM --------- Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com> Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
370 lines
13 KiB
C++
370 lines
13 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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 "selectiveScanPlugin.h"
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#include "tensorrt_llm/common/assert.h"
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using namespace nvinfer1;
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using namespace tensorrt_llm::kernels;
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using namespace tensorrt_llm::common;
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using tensorrt_llm::plugins::SelectiveScanPluginCreator;
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using tensorrt_llm::plugins::SelectiveScanPlugin;
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static const char* SELECTIVE_SCAN_PLUGIN_VERSION{"1"};
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static const char* SELECTIVE_SCAN_PLUGIN_NAME{"SelectiveScan"};
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PluginFieldCollection SelectiveScanPluginCreator::mFC{};
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std::vector<nvinfer1::PluginField> SelectiveScanPluginCreator::mPluginAttributes;
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SelectiveScanPlugin::SelectiveScanPlugin(
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int dim, int dstate, bool isVariableB, bool isVariableC, bool deltaSoftplus, nvinfer1::DataType type)
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: mDim(dim)
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, mDState(dstate)
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, mIsVariableB(isVariableB)
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, mIsVariableC(isVariableC)
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, mDeltaSoftplus(deltaSoftplus)
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, mType(type)
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{
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TLLM_CHECK_WITH_INFO((getSMVersion() >= 80) || (mType != DataType::kBF16),
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"Unsupported data type, pre SM 80 GPUs do not support bfloat16");
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TLLM_CHECK_WITH_INFO((mType == DataType::kBF16) || (mType == DataType::kFLOAT) || (mType == DataType::kHALF),
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"Only support float, half, and bfloat16.");
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}
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// Parameterized constructor
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SelectiveScanPlugin::SelectiveScanPlugin(const void* data, size_t length)
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{
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const char *d = reinterpret_cast<const char*>(data), *a = d;
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read(d, mDim);
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read(d, mDState);
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read(d, mIsVariableB);
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read(d, mIsVariableC);
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read(d, mDeltaSoftplus);
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read(d, mType);
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TLLM_CHECK(d == a + length);
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TLLM_CHECK_WITH_INFO((getSMVersion() >= 80) || (mType != DataType::kBF16), "Unsupported data type");
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TLLM_CHECK_WITH_INFO((mType == DataType::kBF16) || (mType == DataType::kFLOAT) || (mType == DataType::kHALF),
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"Only support float, half, and bfloat16.");
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}
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// IPluginV2DynamicExt Methods
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nvinfer1::IPluginV2DynamicExt* SelectiveScanPlugin::clone() const noexcept
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{
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auto* plugin = new SelectiveScanPlugin(mDim, mDState, mIsVariableB, mIsVariableC, mDeltaSoftplus, mType);
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plugin->setPluginNamespace(mNamespace.c_str());
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return plugin;
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}
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// Outputs
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// output_tensor: [batch_size, seq_len, dim]
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// state: [batch_size, dstate, dim]
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nvinfer1::DimsExprs SelectiveScanPlugin::getOutputDimensions(
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int outputIndex, const nvinfer1::DimsExprs* inputs, int nbInputs, nvinfer1::IExprBuilder& exprBuilder) noexcept
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{
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if (outputIndex == 0)
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{
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return inputs[getInputTensorIdx()];
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}
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return inputs[getStateIdx()];
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}
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bool SelectiveScanPlugin::supportsFormatCombination(
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int pos, const nvinfer1::PluginTensorDesc* inOut, int nbInputs, int nbOutputs) noexcept
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{
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if (pos == getHostRequestTypesIdx())
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{
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return inOut[pos].type == nvinfer1::DataType::kINT32;
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}
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else if (pos == getAIdx() || pos == getDeltaBiasIdx() || pos == getDIdx() || pos == nbInputs + 1)
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{
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return (inOut[pos].type == nvinfer1::DataType::kFLOAT) && (inOut[pos].format == TensorFormat::kLINEAR);
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}
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else
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{
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return (inOut[pos].type == mType) && (inOut[pos].format == TensorFormat::kLINEAR);
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}
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}
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void SelectiveScanPlugin::configurePlugin(const nvinfer1::DynamicPluginTensorDesc* in, int nbInputs,
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const nvinfer1::DynamicPluginTensorDesc* out, int nbOutputs) noexcept
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{
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}
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size_t SelectiveScanPlugin::getWorkspaceSize(const nvinfer1::PluginTensorDesc* inputs, int nbInputs,
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const nvinfer1::PluginTensorDesc* outputs, int nbOutputs) const noexcept
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{
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return 0;
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}
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void SelectiveScanPlugin::setSSMParams(SSMParamsBase& params, const size_t batch, const size_t dim, const size_t seqLen,
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const size_t dstate, const bool isVariableB, const bool isVariableC, void* statePtr, const void* x,
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const void* delta, const void* deltaBias, const void* A, const void* B, const void* C, const void* D, const void* z,
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void* out, bool deltaSoftplus)
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{
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// Reset the parameters
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memset(¶ms, 0, sizeof(params));
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params.batch = batch;
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params.dim = dim;
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params.seqlen = seqLen;
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params.dstate = dstate;
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params.delta_softplus = deltaSoftplus;
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params.is_variable_B = isVariableB;
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params.is_variable_C = isVariableC;
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// Set the pointers and strides.
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params.u_ptr = const_cast<void*>(x);
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params.delta_ptr = const_cast<void*>(delta);
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params.A_ptr = const_cast<void*>(A);
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params.B_ptr = const_cast<void*>(B);
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params.C_ptr = const_cast<void*>(C);
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params.D_ptr = const_cast<void*>(D);
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params.delta_bias_ptr = const_cast<void*>(deltaBias);
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params.out_ptr = out;
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params.x_ptr = statePtr;
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params.z_ptr = const_cast<void*>(z);
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}
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template <typename T>
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int SelectiveScanPlugin::enqueueImpl(const nvinfer1::PluginTensorDesc* inputDesc,
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const nvinfer1::PluginTensorDesc* outputDesc, const void* const* inputs, void* const* outputs, void* workspace,
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cudaStream_t stream)
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{
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// inputs
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// 0. input_tensor [batch_size, seq_len, dim]
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// 1. state [batch_size, dstate, dim]
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// 2. delta [batch_size, seq_len, dim]
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// 3. delta_bias [dim]
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// 4. A [dstate, dim]
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// 5. B [batch_size, seq_len, dstate]
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// 6. C [batch_size, seq_len, dstate]
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// 7. D [dim]
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// 8. z [batch_size, seq_len, dim]
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// 9. host_request_types [batch_size] int32. 0: context; 1: generation.
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// outputs
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// 0. output_tensor [batch_size, seq_len, dim]
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// 1. state [batch_size, dstate, dim]
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auto const batch_size = inputDesc[getInputTensorIdx()].dims.d[0];
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auto const seq_len = inputDesc[getInputTensorIdx()].dims.d[1];
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// only support context or generation, not for both of them
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RequestType const* reqTypes = static_cast<RequestType const*>(inputs[getHostRequestTypesIdx()]);
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auto const n_chunks = (seq_len + 2048 - 1) / 2048;
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SSMParamsBase ssm_params;
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setSSMParams(ssm_params, batch_size, mDim, seq_len, mDState, mIsVariableB, mIsVariableC, outputs[1],
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inputs[getInputTensorIdx()], inputs[getDeltaIdx()], inputs[getDeltaBiasIdx()], inputs[getAIdx()],
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inputs[getBIdx()], inputs[getCIdx()], inputs[getDIdx()], inputs[getZIdx()], outputs[0], mDeltaSoftplus);
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if (reqTypes[0] == RequestType::kCONTEXT)
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{
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invokeSelectiveScan<T, float>(ssm_params, stream);
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}
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else if (reqTypes[0] == RequestType::kGENERATION)
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{
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invokeSelectiveScanUpdate<T, float>(ssm_params, stream);
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}
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return 0;
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}
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int SelectiveScanPlugin::enqueue(const nvinfer1::PluginTensorDesc* inputDesc,
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const nvinfer1::PluginTensorDesc* outputDesc, const void* const* inputs, void* const* outputs, void* workspace,
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cudaStream_t stream) noexcept
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{
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if (mType == DataType::kHALF)
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{
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return enqueueImpl<half>(inputDesc, outputDesc, inputs, outputs, workspace, stream);
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}
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else if (mType == DataType::kFLOAT)
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{
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return enqueueImpl<float>(inputDesc, outputDesc, inputs, outputs, workspace, stream);
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}
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#ifdef ENABLE_BF16
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else if (mType == DataType::kBF16)
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{
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return enqueueImpl<__nv_bfloat16>(inputDesc, outputDesc, inputs, outputs, workspace, stream);
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}
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#endif
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return 0;
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}
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// IPluginV2Ext Methods
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nvinfer1::DataType SelectiveScanPlugin::getOutputDataType(
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int index, const nvinfer1::DataType* inputTypes, int nbInputs) const noexcept
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{
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if (index == 0)
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{
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return inputTypes[getInputTensorIdx()];
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}
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else
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{
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return inputTypes[getStateIdx()];
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}
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}
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// IPluginV2 Methods
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const char* SelectiveScanPlugin::getPluginType() const noexcept
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{
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return SELECTIVE_SCAN_PLUGIN_NAME;
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}
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const char* SelectiveScanPlugin::getPluginVersion() const noexcept
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{
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return SELECTIVE_SCAN_PLUGIN_VERSION;
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}
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int SelectiveScanPlugin::getNbOutputs() const noexcept
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{
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return 2;
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}
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int SelectiveScanPlugin::initialize() noexcept
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{
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return 0;
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}
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void SelectiveScanPlugin::terminate() noexcept {}
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size_t SelectiveScanPlugin::getSerializationSize() const noexcept
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{
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return sizeof(mDim) + sizeof(mDState) + sizeof(mIsVariableB) + sizeof(mIsVariableC) + sizeof(mDeltaSoftplus)
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+ sizeof(mType);
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}
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void SelectiveScanPlugin::serialize(void* buffer) const noexcept
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{
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char *d = static_cast<char*>(buffer), *a = d;
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write(d, mDim);
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write(d, mDState);
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write(d, mIsVariableB);
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write(d, mIsVariableC);
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write(d, mDeltaSoftplus);
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write(d, mType);
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assert(d == a + getSerializationSize());
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}
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void SelectiveScanPlugin::destroy() noexcept
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{
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delete this;
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}
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///////////////
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SelectiveScanPluginCreator::SelectiveScanPluginCreator()
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{
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// Fill PluginFieldCollection with PluginField arguments metadata
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mPluginAttributes.clear();
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mPluginAttributes.emplace_back(PluginField("dim", nullptr, PluginFieldType::kINT32, 16));
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mPluginAttributes.emplace_back(PluginField("dstate", nullptr, PluginFieldType::kINT32, 16));
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mPluginAttributes.emplace_back(PluginField("is_variable_B", nullptr, PluginFieldType::kINT8, 1));
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mPluginAttributes.emplace_back(PluginField("is_variable_C", nullptr, PluginFieldType::kINT8, 1));
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mPluginAttributes.emplace_back(PluginField("delta_softplus", nullptr, PluginFieldType::kINT8, 1));
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mPluginAttributes.emplace_back(PluginField("type_id", nullptr, PluginFieldType::kINT32, 1));
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mFC.nbFields = mPluginAttributes.size();
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mFC.fields = mPluginAttributes.data();
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}
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const char* SelectiveScanPluginCreator::getPluginName() const noexcept
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{
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return SELECTIVE_SCAN_PLUGIN_NAME;
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}
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const char* SelectiveScanPluginCreator::getPluginVersion() const noexcept
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{
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return SELECTIVE_SCAN_PLUGIN_VERSION;
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}
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const PluginFieldCollection* SelectiveScanPluginCreator::getFieldNames() noexcept
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{
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return &mFC;
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}
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IPluginV2* SelectiveScanPluginCreator::createPlugin(const char* name, const PluginFieldCollection* fc) noexcept
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{
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const PluginField* fields = fc->fields;
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int dim, dstate;
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bool isVariableB, isVariableC, deltaSoftplus;
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nvinfer1::DataType type;
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// Read configurations from each fields
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for (int i = 0; i < fc->nbFields; ++i)
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{
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const char* attrName = fields[i].name;
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if (!strcmp(attrName, "dim"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT32);
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dim = static_cast<int>(*(static_cast<const int*>(fields[i].data)));
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}
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else if (!strcmp(attrName, "dstate"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT32);
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dstate = static_cast<int>(*(static_cast<const int*>(fields[i].data)));
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}
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else if (!strcmp(attrName, "is_variable_B"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT8);
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isVariableB = static_cast<bool>(*(static_cast<const bool*>(fields[i].data)));
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}
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else if (!strcmp(attrName, "is_variable_C"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT8);
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isVariableC = static_cast<bool>(*(static_cast<const bool*>(fields[i].data)));
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}
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else if (!strcmp(attrName, "delta_softplus"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT8);
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deltaSoftplus = static_cast<bool>(*(static_cast<const bool*>(fields[i].data)));
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}
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else if (!strcmp(attrName, "type_id"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT32);
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type = static_cast<nvinfer1::DataType>(*(static_cast<const nvinfer1::DataType*>(fields[i].data)));
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}
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}
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try
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{
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auto* obj = new SelectiveScanPlugin(dim, dstate, isVariableB, isVariableC, deltaSoftplus, type);
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obj->setPluginNamespace(mNamespace.c_str());
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return obj;
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}
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catch (const std::exception& e)
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{
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caughtError(e);
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}
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return nullptr;
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}
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IPluginV2* SelectiveScanPluginCreator::deserializePlugin(
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const char* name, const void* serialData, size_t serialLength) noexcept
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{
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// This object will be deleted when the network is destroyed, which will
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// call SelectiveScanPlugin::destroy()
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try
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{
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auto* obj = new SelectiveScanPlugin(serialData, serialLength);
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obj->setPluginNamespace(mNamespace.c_str());
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return obj;
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}
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catch (const std::exception& e)
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{
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caughtError(e);
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}
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return nullptr;
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}
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