add tensorrt dcn support

csrc/backend_ops/tensorrt/common/common_cuda_helper.hpp

@@ -4,6 +4,7 @@
 
 #include <cublas_v2.h>
 #include <cuda.h>
+#include <stdio.h>
 
 #include <algorithm>
 

csrc/backend_ops/tensorrt/common_impl/trt_cuda_helper.cu

@@ -5,13 +5,13 @@
 using mmdeploy::TensorDesc;
 
 template <class scalar_t>
-__global__ void copy_permute_kernel(scalar_t *dst, const scalar_t *src, int n,
-                                    TensorDesc ts_src_stride, TensorDesc ts_dst_stride,
+__global__ void copy_permute_kernel(scalar_t *__restrict__ dst, const scalar_t *__restrict__ src,
+                                    int n, TensorDesc ts_src_stride, TensorDesc ts_dst_stride,
                                     TensorDesc ts_permute) {
   const int src_dim = ts_src_stride.dim;
-  int *src_stride = &(ts_src_stride.stride[0]);
-  int *dst_stride = &(ts_dst_stride.stride[0]);
-  int *permute = &(ts_permute.shape[0]);
+  const auto src_stride = ts_src_stride.stride;
+  const auto dst_stride = ts_dst_stride.stride;
+  const auto permute = ts_permute.shape;
   CUDA_1D_KERNEL_LOOP(index, n) {
     size_t dst_index = index;
     size_t src_index = 0;

csrc/backend_ops/tensorrt/deform_conv/trt_deform_conv.cpp

@@ -0,0 +1,257 @@
+// Copyright (c) OpenMMLab. All rights reserved
+#include "trt_deform_conv.hpp"
+
+#include <assert.h>
+
+#include <chrono>
+
+#include "trt_deform_conv_kernel.hpp"
+#include "trt_serialize.hpp"
+
+using namespace nvinfer1;
+
+namespace mmdeploy {
+namespace {
+static const char *PLUGIN_VERSION{"1"};
+static const char *PLUGIN_NAME{"MMCVDeformConv2d"};
+}  // namespace
+
+DeformableConvPluginDynamic::DeformableConvPluginDynamic(const std::string &name,
+                                                         const nvinfer1::Dims stride,
+                                                         const nvinfer1::Dims padding,
+                                                         const nvinfer1::Dims dilation,
+                                                         const int deformableGroup, const int group)
+    : TRTPluginBase(name),
+      mStride(stride),
+      mPadding(padding),
+      mDilation(dilation),
+      mDeformableGroup(deformableGroup),
+      mGroup(group) {}
+
+DeformableConvPluginDynamic::DeformableConvPluginDynamic(const std::string name, const void *data,
+                                                         size_t length)
+    : TRTPluginBase(name) {
+  deserialize_value(&data, &length, &mStride);
+  deserialize_value(&data, &length, &mPadding);
+  deserialize_value(&data, &length, &mDilation);
+  deserialize_value(&data, &length, &mDeformableGroup);
+  deserialize_value(&data, &length, &mGroup);
+}
+DeformableConvPluginDynamic::~DeformableConvPluginDynamic() {}
+
+nvinfer1::IPluginV2DynamicExt *DeformableConvPluginDynamic::clone() const TRT_NOEXCEPT {
+  DeformableConvPluginDynamic *plugin = new DeformableConvPluginDynamic(
+      mLayerName, mStride, mPadding, mDilation, mDeformableGroup, mGroup);
+  plugin->setPluginNamespace(getPluginNamespace());
+
+  return plugin;
+}
+
+nvinfer1::DimsExprs DeformableConvPluginDynamic::getOutputDimensions(
+    int outputIndex, const nvinfer1::DimsExprs *inputs, int nbInputs,
+    nvinfer1::IExprBuilder &exprBuilder) TRT_NOEXCEPT {
+  // input[0] == input
+  // input[1] == offset
+  // input[2] == weight
+  nvinfer1::DimsExprs ret;
+  ret.nbDims = 4;
+  ret.d[0] = inputs[0].d[0];
+  ret.d[1] = inputs[2].d[0];
+
+  ret.d[2] = inputs[1].d[2];
+  ret.d[3] = inputs[1].d[3];
+
+  return ret;
+}
+
+bool DeformableConvPluginDynamic::supportsFormatCombination(
+    int pos, const nvinfer1::PluginTensorDesc *ioDesc, int nbInputs, int nbOutputs) TRT_NOEXCEPT {
+  if (pos == 0) {
+    return (ioDesc[pos].type == nvinfer1::DataType::kFLOAT &&
+            ioDesc[pos].format == nvinfer1::TensorFormat::kLINEAR);
+  } else {
+    return ioDesc[pos].type == ioDesc[0].type && ioDesc[pos].format == ioDesc[0].format;
+  }
+}
+
+void DeformableConvPluginDynamic::configurePlugin(const nvinfer1::DynamicPluginTensorDesc *inputs,
+                                                  int nbInputs,
+                                                  const nvinfer1::DynamicPluginTensorDesc *outputs,
+                                                  int nbOutputs) TRT_NOEXCEPT {}
+
+size_t DeformableConvPluginDynamic::getWorkspaceSize(const nvinfer1::PluginTensorDesc *inputs,
+                                                     int nbInputs,
+                                                     const nvinfer1::PluginTensorDesc *outputs,
+                                                     int nbOutputs) const TRT_NOEXCEPT {
+  int sizeof_dtype = mmdeploy::getElementSize(outputs[0].type);
+
+  int batch_size = inputs[0].dims.d[0];
+  int nInputPlane = inputs[0].dims.d[1];
+  int inputHeight = inputs[0].dims.d[2];
+  int inputWidth = inputs[0].dims.d[3];
+
+  int nOutputPlane = outputs[0].dims.d[1];
+  int outputHeight = outputs[0].dims.d[2];
+  int outputWidth = outputs[0].dims.d[3];
+
+  int kW = inputs[2].dims.d[2];
+  int kH = inputs[2].dims.d[3];
+  int im2col_step = std::min(32, batch_size);
+
+  size_t col_size = mmdeploy::getAlignedSize(nInputPlane * kW * kH * im2col_step * outputHeight *
+                                             outputWidth * sizeof_dtype);
+
+  size_t out_size = 0;
+  if (im2col_step != 1)
+    out_size = mmdeploy::getAlignedSize(batch_size * nOutputPlane * outputHeight * outputWidth *
+                                        sizeof_dtype);
+
+  return col_size + out_size;
+}
+
+int DeformableConvPluginDynamic::enqueue(const nvinfer1::PluginTensorDesc *inputDesc,
+                                         const nvinfer1::PluginTensorDesc *outputDesc,
+                                         const void *const *inputs, void *const *outputs,
+                                         void *workSpace, cudaStream_t stream) TRT_NOEXCEPT {
+  int batch = inputDesc[0].dims.d[0];
+  int channels = inputDesc[0].dims.d[1];
+  int height = inputDesc[0].dims.d[2];
+  int width = inputDesc[0].dims.d[3];
+  int channels_out = outputDesc[0].dims.d[1];
+  int kernel_h = inputDesc[2].dims.d[2];
+  int kernel_w = inputDesc[2].dims.d[3];
+
+  const void *x = inputs[0];
+  const void *offset = inputs[1];
+  const void *weight = inputs[2];
+  void *output = outputs[0];
+  int im2col_step = std::min(batch, 32);
+
+  auto data_type = inputDesc[0].type;
+  switch (data_type) {
+    case nvinfer1::DataType::kFLOAT:
+      deform_conv<float>((float *)x, (float *)weight, (float *)offset, (float *)output, workSpace,
+                         batch, channels, height, width, channels_out, kernel_w, kernel_h,
+                         mStride.d[0], mStride.d[1], mPadding.d[0], mPadding.d[1], mDilation.d[0],
+                         mDilation.d[1], mGroup, mDeformableGroup, im2col_step, m_cublas_handle,
+                         stream);
+      break;
+    default:
+      return 1;
+      break;
+  }
+
+  return 0;
+}
+
+nvinfer1::DataType DeformableConvPluginDynamic::getOutputDataType(
+    int index, const nvinfer1::DataType *inputTypes, int nbInputs) const TRT_NOEXCEPT {
+  return inputTypes[0];
+}
+
+// IPluginV2 Methods
+const char *DeformableConvPluginDynamic::getPluginType() const TRT_NOEXCEPT { return PLUGIN_NAME; }
+
+const char *DeformableConvPluginDynamic::getPluginVersion() const TRT_NOEXCEPT {
+  return PLUGIN_VERSION;
+}
+
+int DeformableConvPluginDynamic::getNbOutputs() const TRT_NOEXCEPT { return 1; }
+
+size_t DeformableConvPluginDynamic::getSerializationSize() const TRT_NOEXCEPT {
+  return serialized_size(mStride) + serialized_size(mPadding) + serialized_size(mDilation) +
+         serialized_size(mDeformableGroup) + serialized_size(mGroup);
+}
+
+void DeformableConvPluginDynamic::serialize(void *buffer) const TRT_NOEXCEPT {
+  serialize_value(&buffer, mStride);
+  serialize_value(&buffer, mPadding);
+  serialize_value(&buffer, mDilation);
+  serialize_value(&buffer, mDeformableGroup);
+  serialize_value(&buffer, mGroup);
+}
+
+void DeformableConvPluginDynamic::attachToContext(
+    cudnnContext *cudnnContext, cublasContext *cublasContext,
+    nvinfer1::IGpuAllocator *gpuAllocator) TRT_NOEXCEPT {
+  m_cublas_handle = cublasContext;
+}
+
+void DeformableConvPluginDynamic::detachFromContext() TRT_NOEXCEPT {}
+
+////////////////////// creator /////////////////////////////
+
+DeformableConvPluginDynamicCreator::DeformableConvPluginDynamicCreator() {
+  mPluginAttributes.clear();
+  mPluginAttributes.emplace_back(nvinfer1::PluginField("stride"));
+  mPluginAttributes.emplace_back(nvinfer1::PluginField("padding"));
+  mPluginAttributes.emplace_back(nvinfer1::PluginField("dilation"));
+  mPluginAttributes.emplace_back(nvinfer1::PluginField("groups"));
+  mPluginAttributes.emplace_back(nvinfer1::PluginField("deform_groups"));
+  mFC.nbFields = mPluginAttributes.size();
+  mFC.fields = mPluginAttributes.data();
+}
+
+const char *DeformableConvPluginDynamicCreator::getPluginName() const TRT_NOEXCEPT {
+  return PLUGIN_NAME;
+}
+
+const char *DeformableConvPluginDynamicCreator::getPluginVersion() const TRT_NOEXCEPT {
+  return PLUGIN_VERSION;
+}
+
+nvinfer1::IPluginV2 *DeformableConvPluginDynamicCreator::createPlugin(
+    const char *name, const nvinfer1::PluginFieldCollection *fc) TRT_NOEXCEPT {
+  nvinfer1::Dims stride{2, {1, 1}};
+  nvinfer1::Dims padding{2, {0, 0}};
+  nvinfer1::Dims dilation{2, {1, 1}};
+  int deformableGroup = 1;
+  int group = 1;
+
+  for (int i = 0; i < fc->nbFields; i++) {
+    if (fc->fields[i].data == nullptr) {
+      continue;
+    }
+    std::string field_name(fc->fields[i].name);
+
+    if (field_name.compare("deform_groups") == 0) {
+      deformableGroup = static_cast<const int *>(fc->fields[i].data)[0];
+    }
+
+    if (field_name.compare("groups") == 0) {
+      group = static_cast<const int *>(fc->fields[i].data)[0];
+    }
+
+    if (field_name.compare("stride") == 0) {
+      stride.nbDims = 2;
+      stride.d[0] = static_cast<const int *>(fc->fields[i].data)[0];
+      stride.d[1] = static_cast<const int *>(fc->fields[i].data)[1];
+    }
+
+    if (field_name.compare("padding") == 0) {
+      padding.nbDims = 2;
+      padding.d[0] = static_cast<const int *>(fc->fields[i].data)[0];
+      padding.d[1] = static_cast<const int *>(fc->fields[i].data)[1];
+    }
+
+    if (field_name.compare("dilation") == 0) {
+      dilation.nbDims = 2;
+      dilation.d[0] = static_cast<const int *>(fc->fields[i].data)[0];
+      dilation.d[1] = static_cast<const int *>(fc->fields[i].data)[1];
+    }
+  }
+
+  DeformableConvPluginDynamic *plugin =
+      new DeformableConvPluginDynamic(name, stride, padding, dilation, deformableGroup, group);
+  plugin->setPluginNamespace(getPluginNamespace());
+  return plugin;
+}
+
+nvinfer1::IPluginV2 *DeformableConvPluginDynamicCreator::deserializePlugin(
+    const char *name, const void *serialData, size_t serialLength) TRT_NOEXCEPT {
+  auto plugin = new DeformableConvPluginDynamic(name, serialData, serialLength);
+  plugin->setPluginNamespace(getPluginNamespace());
+  return plugin;
+}
+REGISTER_TENSORRT_PLUGIN(DeformableConvPluginDynamicCreator);
+}  // namespace mmdeploy

csrc/backend_ops/tensorrt/deform_conv/trt_deform_conv.hpp

@@ -0,0 +1,81 @@
+// Copyright (c) OpenMMLab. All rights reserved.
+#ifndef TRT_DEFORM_CONV_HPP
+#define TRT_DEFORM_CONV_HPP
+#include <cublas_v2.h>
+
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "trt_plugin_base.hpp"
+
+namespace mmdeploy {
+class DeformableConvPluginDynamic : public TRTPluginBase {
+ public:
+  DeformableConvPluginDynamic(const std::string &name, const nvinfer1::Dims stride,
+                              const nvinfer1::Dims padding, const nvinfer1::Dims dilation,
+                              const int deformableGroup, const int group);
+
+  DeformableConvPluginDynamic(const std::string name, const void *data, size_t length);
+
+  DeformableConvPluginDynamic() = delete;
+
+  ~DeformableConvPluginDynamic() TRT_NOEXCEPT override;
+
+  // IPluginV2DynamicExt Methods
+  nvinfer1::IPluginV2DynamicExt *clone() const TRT_NOEXCEPT override;
+  nvinfer1::DimsExprs getOutputDimensions(int outputIndex, const nvinfer1::DimsExprs *inputs,
+                                          int nbInputs, nvinfer1::IExprBuilder &exprBuilder)
+      TRT_NOEXCEPT override;
+  bool supportsFormatCombination(int pos, const nvinfer1::PluginTensorDesc *ioDesc, int nbInputs,
+                                 int nbOutputs) TRT_NOEXCEPT override;
+  void configurePlugin(const nvinfer1::DynamicPluginTensorDesc *in, int nbInputs,
+                       const nvinfer1::DynamicPluginTensorDesc *out,
+                       int nbOutputs) TRT_NOEXCEPT override;
+  size_t getWorkspaceSize(const nvinfer1::PluginTensorDesc *inputs, int nbInputs,
+                          const nvinfer1::PluginTensorDesc *outputs,
+                          int nbOutputs) const TRT_NOEXCEPT override;
+  int enqueue(const nvinfer1::PluginTensorDesc *inputDesc,
+              const nvinfer1::PluginTensorDesc *outputDesc, const void *const *inputs,
+              void *const *outputs, void *workspace, cudaStream_t stream) TRT_NOEXCEPT override;
+  void attachToContext(cudnnContext *cudnnContext, cublasContext *cublasContext,
+                       nvinfer1::IGpuAllocator *gpuAllocator) TRT_NOEXCEPT override;
+  void detachFromContext() TRT_NOEXCEPT override;
+
+  // IPluginV2Ext Methods
+  nvinfer1::DataType getOutputDataType(int index, const nvinfer1::DataType *inputTypes,
+                                       int nbInputs) const TRT_NOEXCEPT override;
+
+  // IPluginV2 Methods
+  const char *getPluginType() const TRT_NOEXCEPT override;
+  const char *getPluginVersion() const TRT_NOEXCEPT override;
+  int getNbOutputs() const TRT_NOEXCEPT override;
+  size_t getSerializationSize() const TRT_NOEXCEPT override;
+  void serialize(void *buffer) const TRT_NOEXCEPT override;
+
+ private:
+  nvinfer1::Dims mStride;
+  nvinfer1::Dims mPadding;
+  nvinfer1::Dims mDilation;
+  int mDeformableGroup;
+  int mGroup;
+
+  cublasHandle_t m_cublas_handle;
+};
+
+class DeformableConvPluginDynamicCreator : public TRTPluginCreatorBase {
+ public:
+  DeformableConvPluginDynamicCreator();
+
+  const char *getPluginName() const TRT_NOEXCEPT override;
+
+  const char *getPluginVersion() const TRT_NOEXCEPT override;
+
+  nvinfer1::IPluginV2 *createPlugin(const char *name, const nvinfer1::PluginFieldCollection *fc)
+      TRT_NOEXCEPT override;
+
+  nvinfer1::IPluginV2 *deserializePlugin(const char *name, const void *serialData,
+                                         size_t serialLength) TRT_NOEXCEPT override;
+};
+}  // namespace mmdeploy
+#endif  // TRT_DEFORM_CONV_HPP