wehub-resource-sync
419 lines
14 KiB
C++
419 lines
14 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2026 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 "multiscaleDeformableAttnPlugin.h"
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#include "multiscaleDeformableAttn.h"
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#include <memory>
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using namespace nvinfer1;
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using namespace nvinfer1::plugin;
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namespace
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{
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static char const* DMHA_VERSION{"2"};
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static char const* DMHA_NAME{"MultiscaleDeformableAttnPlugin_TRT"};
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} // namespace
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namespace nvinfer1::plugin
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{
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MultiscaleDeformableAttnPlugin::MultiscaleDeformableAttnPlugin() {}
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IPluginCapability* MultiscaleDeformableAttnPlugin::getCapabilityInterface(PluginCapabilityType type) noexcept
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{
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try
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{
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if (type == PluginCapabilityType::kBUILD)
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{
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return static_cast<IPluginV3OneBuild*>(this);
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}
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if (type == PluginCapabilityType::kRUNTIME)
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{
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return static_cast<IPluginV3OneRuntime*>(this);
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}
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PLUGIN_ASSERT(type == PluginCapabilityType::kCORE);
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return static_cast<IPluginV3OneCore*>(this);
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}
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catch (std::exception const& 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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// IPluginV3OneCore methods
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char const* MultiscaleDeformableAttnPlugin::getPluginName() const noexcept
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{
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return DMHA_NAME;
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}
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char const* MultiscaleDeformableAttnPlugin::getPluginVersion() const noexcept
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{
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return DMHA_VERSION;
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}
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int32_t MultiscaleDeformableAttnPlugin::getNbOutputs() const noexcept
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{
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return 1;
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}
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void MultiscaleDeformableAttnPlugin::setPluginNamespace(char const* pluginNamespace) noexcept
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{
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mNamespace = pluginNamespace;
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}
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char const* MultiscaleDeformableAttnPlugin::getPluginNamespace() const noexcept
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{
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return mNamespace.c_str();
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}
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IPluginV3* MultiscaleDeformableAttnPlugin::clone() noexcept
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{
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try
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{
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auto plugin = std::make_unique<MultiscaleDeformableAttnPlugin>();
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plugin->setPluginNamespace(mNamespace.c_str());
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return plugin.release();
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}
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catch (std::exception const& 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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// IPluginV3OneBuild methods
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int32_t MultiscaleDeformableAttnPlugin::getOutputDataTypes(
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DataType* outputTypes, int32_t nbOutputs, DataType const* inputTypes, int32_t nbInputs) const noexcept
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{
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try
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{
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PLUGIN_VALIDATE(outputTypes != nullptr, "outputTypes pointer is null");
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PLUGIN_VALIDATE(nbOutputs > 0, "nbOutputs is not positive");
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PLUGIN_VALIDATE(inputTypes != nullptr, "inputTypes pointer is null");
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PLUGIN_VALIDATE(nbInputs > 0, "nbInputs is not positive");
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// Output type is the same as the first input type
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std::fill_n(outputTypes, nbOutputs, inputTypes[0]);
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return STATUS_SUCCESS;
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return STATUS_FAILURE;
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}
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int32_t MultiscaleDeformableAttnPlugin::getOutputShapes(DimsExprs const* inputs, int32_t nbInputs,
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DimsExprs const* shapeInputs, int32_t nbShapeInputs, DimsExprs* outputs, int32_t nbOutputs,
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IExprBuilder& exprBuilder) noexcept
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{
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try
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{
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PLUGIN_VALIDATE(outputs != nullptr, "outputs pointer is null");
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PLUGIN_VALIDATE(nbOutputs > 0, "nbOutputs is not positive");
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PLUGIN_VALIDATE(inputs != nullptr, "inputs pointer is null");
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PLUGIN_VALIDATE(nbInputs == 5, "Expected 5 inputs");
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// Output shape: [N, Lq, M, D]
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outputs[0].nbDims = 4;
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outputs[0].d[0] = inputs[0].d[0]; // Batch size
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outputs[0].d[1] = inputs[3].d[1]; // Lq (query length)
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outputs[0].d[2] = inputs[0].d[2]; // Number of heads
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outputs[0].d[3] = inputs[0].d[3]; // Hidden dimension per head
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return STATUS_SUCCESS;
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return STATUS_FAILURE;
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}
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bool MultiscaleDeformableAttnPlugin::supportsFormatCombination(
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int32_t pos, DynamicPluginTensorDesc const* inOut, int32_t nbInputs, int32_t nbOutputs) noexcept
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{
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try
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{
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PLUGIN_VALIDATE(inOut != nullptr, "inOut pointer is null");
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PLUGIN_VALIDATE(nbInputs == 5, "Expected 5 inputs");
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PLUGIN_VALIDATE(nbOutputs == 1, "Expected 1 output");
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// Check format
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PluginTensorDesc const& desc = inOut[pos].desc;
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if (desc.format != TensorFormat::kLINEAR)
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{
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return false;
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}
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// Special handling for spatial_shapes and level_start_index (inputs 1 and 2)
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if (pos == 1 || pos == 2)
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{
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return desc.type == DataType::kINT32;
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}
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// Other inputs and output must have the same type, either FP32 or FP16
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if (pos == 0 || pos == 3 || pos == 4 || pos == nbInputs)
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{
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// Check that the data type matches input[0]
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bool const isFloatType = desc.type == DataType::kFLOAT || desc.type == DataType::kHALF;
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if (pos == 0) // First tensor, just check if it's a supported type
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{
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return isFloatType;
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}
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// Other tensors must match the first
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return desc.type == inOut[0].desc.type && isFloatType;
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}
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return false;
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return false;
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}
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int32_t MultiscaleDeformableAttnPlugin::configurePlugin(
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DynamicPluginTensorDesc const* in, int32_t nbInputs, DynamicPluginTensorDesc const* out, int32_t nbOutputs) noexcept
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{
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try
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{
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PLUGIN_VALIDATE(in != nullptr, "in pointer is null");
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PLUGIN_VALIDATE(out != nullptr, "out pointer is null");
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PLUGIN_VALIDATE(nbInputs == 5, "Expected 5 inputs");
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PLUGIN_VALIDATE(nbOutputs == 1, "Expected 1 output");
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// Check for valid input dimensions
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PLUGIN_VALIDATE(in[0].desc.dims.nbDims == 4, "First input must have 4 dimensions");
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PLUGIN_VALIDATE(in[1].desc.dims.nbDims == 2, "Second input must have 2 dimensions");
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PLUGIN_VALIDATE(in[2].desc.dims.nbDims == 1, "Third input must have 1 dimension");
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PLUGIN_VALIDATE(in[3].desc.dims.nbDims == 6, "Fourth input must have 6 dimensions");
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PLUGIN_VALIDATE(in[4].desc.dims.nbDims == 5, "Fifth input must have 5 dimensions");
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// Check M dimensions consistency
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PLUGIN_VALIDATE(in[0].desc.dims.d[2] == in[3].desc.dims.d[2], "Inconsistent dimensions for number of heads");
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PLUGIN_VALIDATE(in[0].desc.dims.d[2] == in[4].desc.dims.d[2], "Inconsistent dimensions for number of heads");
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// Check L dimensions consistency
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PLUGIN_VALIDATE(in[1].desc.dims.d[0] == in[2].desc.dims.d[0], "Inconsistent dimensions for number of levels");
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PLUGIN_VALIDATE(in[1].desc.dims.d[0] == in[3].desc.dims.d[3], "Inconsistent dimensions for number of levels");
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PLUGIN_VALIDATE(in[1].desc.dims.d[0] == in[4].desc.dims.d[3], "Inconsistent dimensions for number of levels");
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// Check P dimensions consistency
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PLUGIN_VALIDATE(in[3].desc.dims.d[4] == in[4].desc.dims.d[4], "Inconsistent dimensions for number of points");
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// Check Lq dimensions consistency
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PLUGIN_VALIDATE(in[3].desc.dims.d[1] == in[4].desc.dims.d[1], "Inconsistent dimensions for query length");
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return STATUS_SUCCESS;
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return STATUS_FAILURE;
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}
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PluginFieldCollection const* MultiscaleDeformableAttnPlugin::getFieldsToSerialize() noexcept
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{
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try
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{
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mDataToSerialize.clear();
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// This plugin has no fields to serialize
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mFCToSerialize.nbFields = mDataToSerialize.size();
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mFCToSerialize.fields = mDataToSerialize.data();
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return &mFCToSerialize;
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}
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catch (std::exception const& 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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// IPluginV3OneRuntime methods
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size_t MultiscaleDeformableAttnPlugin::getWorkspaceSize(DynamicPluginTensorDesc const* inputs, int32_t nbInputs,
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DynamicPluginTensorDesc const* outputs, int32_t nbOutputs) const noexcept
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{
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// No workspace needed for this plugin
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return 0;
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}
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int32_t MultiscaleDeformableAttnPlugin::onShapeChange(
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PluginTensorDesc const* inputs, int32_t nbInputs, PluginTensorDesc const* outputs, int32_t nbOutputs) noexcept
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{
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try
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{
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PLUGIN_VALIDATE(inputs != nullptr, "inputs pointer is null");
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PLUGIN_VALIDATE(outputs != nullptr, "outputs pointer is null");
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PLUGIN_VALIDATE(nbInputs == 5, "Expected 5 inputs");
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PLUGIN_VALIDATE(nbOutputs == 1, "Expected 1 output");
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// Check for valid input dimensions
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PLUGIN_VALIDATE(inputs[0].dims.nbDims == 4, "First input must have 4 dimensions");
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PLUGIN_VALIDATE(inputs[1].dims.nbDims == 2, "Second input must have 2 dimensions");
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PLUGIN_VALIDATE(inputs[2].dims.nbDims == 1, "Third input must have 1 dimension");
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PLUGIN_VALIDATE(inputs[3].dims.nbDims == 6, "Fourth input must have 6 dimensions");
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PLUGIN_VALIDATE(inputs[4].dims.nbDims == 5, "Fifth input must have 5 dimensions");
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// Check M dimensions consistency
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PLUGIN_VALIDATE(inputs[0].dims.d[2] == inputs[3].dims.d[2], "Inconsistent dimensions for number of heads");
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PLUGIN_VALIDATE(inputs[0].dims.d[2] == inputs[4].dims.d[2], "Inconsistent dimensions for number of heads");
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// Check L dimensions consistency
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PLUGIN_VALIDATE(inputs[1].dims.d[0] == inputs[2].dims.d[0], "Inconsistent dimensions for number of levels");
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PLUGIN_VALIDATE(inputs[1].dims.d[0] == inputs[3].dims.d[3], "Inconsistent dimensions for number of levels");
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PLUGIN_VALIDATE(inputs[1].dims.d[0] == inputs[4].dims.d[3], "Inconsistent dimensions for number of levels");
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// Check P dimensions consistency
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PLUGIN_VALIDATE(inputs[3].dims.d[4] == inputs[4].dims.d[4], "Inconsistent dimensions for number of points");
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// Check Lq dimensions consistency
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PLUGIN_VALIDATE(inputs[3].dims.d[1] == inputs[4].dims.d[1], "Inconsistent dimensions for query length");
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return STATUS_SUCCESS;
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return STATUS_FAILURE;
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}
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IPluginV3* MultiscaleDeformableAttnPlugin::attachToContext(IPluginResourceContext* context) noexcept
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{
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try
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{
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// No resources need to be attached
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return clone();
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}
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catch (std::exception const& 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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int32_t MultiscaleDeformableAttnPlugin::enqueue(PluginTensorDesc const* inputDesc, PluginTensorDesc const* outputDesc,
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void const* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept
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{
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try
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{
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PLUGIN_VALIDATE(
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inputDesc != nullptr && inputs != nullptr && outputs != nullptr, "Null pointers found in enqueue");
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int32_t const batch = inputDesc[0].dims.d[0];
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int32_t spatialSize = inputDesc[0].dims.d[1];
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int32_t numHeads = inputDesc[0].dims.d[2];
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int32_t channels = inputDesc[0].dims.d[3];
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int32_t numLevels = inputDesc[1].dims.d[0];
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int32_t numQuery = inputDesc[3].dims.d[1];
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int32_t numPoint = inputDesc[3].dims.d[4];
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int32_t rc = 0;
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if (inputDesc[0].type == DataType::kFLOAT)
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{
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auto const* value = static_cast<float const*>(inputs[0]);
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auto const* spatialShapes = static_cast<int32_t const*>(inputs[1]);
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auto const* levelStartIndex = static_cast<int32_t const*>(inputs[2]);
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auto const* samplingLoc = static_cast<float const*>(inputs[3]);
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auto const* attnWeight = static_cast<float const*>(inputs[4]);
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auto* output = static_cast<float*>(outputs[0]);
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rc = ms_deform_attn_cuda_forward(stream, value, spatialShapes, levelStartIndex, samplingLoc, attnWeight,
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output, batch, spatialSize, numHeads, channels, numLevels, numQuery, numPoint);
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}
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else if (inputDesc[0].type == DataType::kHALF)
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{
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auto const* value = static_cast<__half const*>(inputs[0]);
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auto const* spatialShapes = static_cast<int32_t const*>(inputs[1]);
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auto const* levelStartIndex = static_cast<int32_t const*>(inputs[2]);
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auto const* samplingLoc = static_cast<__half const*>(inputs[3]);
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auto const* attnWeight = static_cast<__half const*>(inputs[4]);
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auto* output = static_cast<__half*>(outputs[0]);
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rc = ms_deform_attn_cuda_forward(stream, value, spatialShapes, levelStartIndex, samplingLoc, attnWeight,
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output, batch, spatialSize, numHeads, channels, numLevels, numQuery, numPoint);
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}
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else
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{
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PLUGIN_VALIDATE(false, "Unsupported data type");
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}
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return rc;
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}
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catch (std::exception const& e)
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{
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caughtError(e);
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}
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return STATUS_FAILURE;
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}
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// Plugin Creator Implementation
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MultiscaleDeformableAttnPluginCreator::MultiscaleDeformableAttnPluginCreator()
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{
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mPluginAttributes.clear();
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mFC.nbFields = mPluginAttributes.size();
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mFC.fields = mPluginAttributes.data();
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}
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char const* MultiscaleDeformableAttnPluginCreator::getPluginName() const noexcept
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{
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return DMHA_NAME;
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}
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char const* MultiscaleDeformableAttnPluginCreator::getPluginVersion() const noexcept
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{
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return DMHA_VERSION;
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}
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PluginFieldCollection const* MultiscaleDeformableAttnPluginCreator::getFieldNames() noexcept
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{
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return &mFC;
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}
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IPluginV3* MultiscaleDeformableAttnPluginCreator::createPlugin(
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char const* name, PluginFieldCollection const* fc, TensorRTPhase phase) noexcept
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{
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try
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{
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// This plugin doesn't have any configurable parameters
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return new MultiscaleDeformableAttnPlugin();
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}
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catch (std::exception const& 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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void MultiscaleDeformableAttnPluginCreator::setPluginNamespace(char const* pluginNamespace) noexcept
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{
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mNamespace = pluginNamespace;
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}
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char const* MultiscaleDeformableAttnPluginCreator::getPluginNamespace() const noexcept
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{
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return mNamespace.c_str();
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}
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} // namespace nvinfer1::plugin
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