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refactor(cuda_utils): prefix package and namespace with autoware (#9171)
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Signed-off-by: Esteve Fernandez <[email protected]>
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esteve authored Nov 5, 2024
1 parent b174d95 commit 151a5c5
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Showing 25 changed files with 119 additions and 117 deletions.
2 changes: 1 addition & 1 deletion .github/CODEOWNERS
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Expand Up @@ -199,6 +199,7 @@ planning/sampling_based_planner/autoware_bezier_sampler/** maxime.clement@tier4.
planning/sampling_based_planner/autoware_frenet_planner/** [email protected]
planning/sampling_based_planner/autoware_path_sampler/** [email protected]
planning/sampling_based_planner/autoware_sampler_common/** [email protected]
sensing/autoware_cuda_utils/** [email protected] [email protected] [email protected]
sensing/autoware_gnss_poser/** [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected]
sensing/autoware_image_diagnostics/** [email protected] [email protected]
sensing/autoware_image_transport_decompressor/** [email protected] [email protected]
Expand All @@ -209,7 +210,6 @@ sensing/autoware_radar_scan_to_pointcloud2/** [email protected] shunsuke.m
sensing/autoware_radar_static_pointcloud_filter/** [email protected] [email protected] [email protected] [email protected]
sensing/autoware_radar_threshold_filter/** [email protected] [email protected] [email protected] [email protected]
sensing/autoware_radar_tracks_noise_filter/** [email protected] [email protected] [email protected] [email protected]
sensing/cuda_utils/** [email protected] [email protected] [email protected]
sensing/livox/autoware_livox_tag_filter/** [email protected] [email protected]
sensing/vehicle_velocity_converter/** [email protected]
simulator/autoware_carla_interface/** [email protected] [email protected]
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2 changes: 1 addition & 1 deletion perception/autoware_bytetrack/package.xml
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Expand Up @@ -15,10 +15,10 @@
<buildtool_export_depend>cudnn_cmake_module</buildtool_export_depend>
<buildtool_export_depend>tensorrt_cmake_module</buildtool_export_depend>

<depend>autoware_cuda_utils</depend>
<depend>autoware_kalman_filter</depend>
<depend>autoware_perception_msgs</depend>
<depend>autoware_tensorrt_common</depend>
<depend>cuda_utils</depend>
<depend>cv_bridge</depend>
<depend>eigen</depend>
<depend>image_transport</depend>
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Expand Up @@ -23,7 +23,7 @@ if(NOT ${autoware_tensorrt_common_FOUND})
)
return()
endif()
find_package(cuda_utils REQUIRED)
find_package(autoware_cuda_utils REQUIRED)

add_library(${PROJECT_NAME} SHARED
src/node.cpp
Expand All @@ -38,7 +38,7 @@ add_library(${PROJECT_NAME} SHARED
target_include_directories(${PROJECT_NAME} PRIVATE
"$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>"
"$<INSTALL_INTERFACE:include/${PROJECT_NAME}>"
${cuda_utils_INCLUDE_DIRS}
${autoware_cuda_utils_INCLUDE_DIRS}
${pcl_conversions_INCLUDE_DIRS}
${autoware_universe_utils_INCLUDE_DIRS}
${autoware_perception_msgs_INCLUDE_DIRS}
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Expand Up @@ -19,10 +19,10 @@
#include "autoware/lidar_apollo_instance_segmentation/feature_generator.hpp"
#include "autoware/lidar_apollo_instance_segmentation/node.hpp"

#include <autoware/cuda_utils/cuda_unique_ptr.hpp>
#include <autoware/cuda_utils/stream_unique_ptr.hpp>
#include <autoware/tensorrt_common/tensorrt_common.hpp>
#include <autoware/universe_utils/transform/transforms.hpp>
#include <cuda_utils/cuda_unique_ptr.hpp>
#include <cuda_utils/stream_unique_ptr.hpp>
#include <tf2_eigen/tf2_eigen.hpp>

#include <tf2_ros/buffer_interface.h>
Expand All @@ -35,10 +35,10 @@ namespace autoware
{
namespace lidar_apollo_instance_segmentation
{
using cuda_utils::CudaUniquePtr;
using cuda_utils::CudaUniquePtrHost;
using cuda_utils::makeCudaStream;
using cuda_utils::StreamUniquePtr;
using autoware::cuda_utils::CudaUniquePtr;
using autoware::cuda_utils::CudaUniquePtrHost;
using autoware::cuda_utils::makeCudaStream;
using autoware::cuda_utils::StreamUniquePtr;

class LidarApolloInstanceSegmentation : public LidarInstanceSegmentationInterface
{
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Expand Up @@ -13,10 +13,10 @@

<buildtool_depend>ament_cmake</buildtool_depend>

<depend>autoware_cuda_utils</depend>
<depend>autoware_perception_msgs</depend>
<depend>autoware_tensorrt_common</depend>
<depend>autoware_universe_utils</depend>
<depend>cuda_utils</depend>
<depend>libpcl-all-dev</depend>
<depend>pcl_conversions</depend>
<depend>rclcpp</depend>
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Expand Up @@ -65,12 +65,12 @@ LidarApolloInstanceSegmentation::LidarApolloInstanceSegmentation(rclcpp::Node *
const auto input_dims = trt_common_->getBindingDimensions(0);
const auto input_size =
std::accumulate(input_dims.d + 1, input_dims.d + input_dims.nbDims, 1, std::multiplies<int>());
input_d_ = cuda_utils::make_unique<float[]>(input_size);
input_d_ = autoware::cuda_utils::make_unique<float[]>(input_size);
const auto output_dims = trt_common_->getBindingDimensions(1);
output_size_ = std::accumulate(
output_dims.d + 1, output_dims.d + output_dims.nbDims, 1, std::multiplies<int>());
output_d_ = cuda_utils::make_unique<float[]>(output_size_);
output_h_ = cuda_utils::make_unique_host<float[]>(output_size_, cudaHostAllocPortable);
output_d_ = autoware::cuda_utils::make_unique<float[]>(output_size_);
output_h_ = autoware::cuda_utils::make_unique_host<float[]>(output_size_, cudaHostAllocPortable);

// feature map generator: pre process
feature_generator_ = std::make_shared<FeatureGenerator>(
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Expand Up @@ -15,10 +15,10 @@
#ifndef AUTOWARE__SHAPE_ESTIMATION__TENSORRT_SHAPE_ESTIMATOR_HPP_
#define AUTOWARE__SHAPE_ESTIMATION__TENSORRT_SHAPE_ESTIMATOR_HPP_

#include <autoware/cuda_utils/cuda_check_error.hpp>
#include <autoware/cuda_utils/cuda_unique_ptr.hpp>
#include <autoware/cuda_utils/stream_unique_ptr.hpp>
#include <autoware/tensorrt_common/tensorrt_common.hpp>
#include <cuda_utils/cuda_check_error.hpp>
#include <cuda_utils/cuda_unique_ptr.hpp>
#include <cuda_utils/stream_unique_ptr.hpp>
#include <pcl_ros/transforms.hpp>

#include <autoware_perception_msgs/msg/detected_objects.hpp>
Expand All @@ -34,10 +34,10 @@

namespace autoware::shape_estimation
{
using cuda_utils::CudaUniquePtr;
using cuda_utils::CudaUniquePtrHost;
using cuda_utils::makeCudaStream;
using cuda_utils::StreamUniquePtr;
using autoware::cuda_utils::CudaUniquePtr;
using autoware::cuda_utils::CudaUniquePtrHost;
using autoware::cuda_utils::makeCudaStream;
using autoware::cuda_utils::StreamUniquePtr;

using autoware_perception_msgs::msg::DetectedObject;
using autoware_perception_msgs::msg::DetectedObjects;
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Expand Up @@ -41,32 +41,33 @@ TrtShapeEstimator::TrtShapeEstimator(
const auto pc_input_dims = trt_common_->getBindingDimensions(0);
const auto pc_input_size = std::accumulate(
pc_input_dims.d + 1, pc_input_dims.d + pc_input_dims.nbDims, 1, std::multiplies<int>());
input_pc_d_ = cuda_utils::make_unique<float[]>(pc_input_size * batch_config[2]);
input_pc_d_ = autoware::cuda_utils::make_unique<float[]>(pc_input_size * batch_config[2]);
batch_size_ = batch_config[2];
const auto one_hot_input_dims = trt_common_->getBindingDimensions(1);
const auto one_hot_input_size = std::accumulate(
one_hot_input_dims.d + 1, one_hot_input_dims.d + one_hot_input_dims.nbDims, 1,
std::multiplies<int>());
input_one_hot_d_ = cuda_utils::make_unique<float[]>(one_hot_input_size * batch_config[2]);
input_one_hot_d_ =
autoware::cuda_utils::make_unique<float[]>(one_hot_input_size * batch_config[2]);

const auto stage1_center_out_dims = trt_common_->getBindingDimensions(2);
out_s1center_elem_num_ = std::accumulate(
stage1_center_out_dims.d + 1, stage1_center_out_dims.d + stage1_center_out_dims.nbDims, 1,
std::multiplies<int>());
out_s1center_elem_num_ = out_s1center_elem_num_ * batch_config[2];
out_s1center_elem_num_per_batch_ = static_cast<size_t>(out_s1center_elem_num_ / batch_config[2]);
out_s1center_prob_d_ = cuda_utils::make_unique<float[]>(out_s1center_elem_num_);
out_s1center_prob_d_ = autoware::cuda_utils::make_unique<float[]>(out_s1center_elem_num_);
out_s1center_prob_h_ =
cuda_utils::make_unique_host<float[]>(out_s1center_elem_num_, cudaHostAllocPortable);
autoware::cuda_utils::make_unique_host<float[]>(out_s1center_elem_num_, cudaHostAllocPortable);

const auto pred_out_dims = trt_common_->getBindingDimensions(3);
out_pred_elem_num_ = std::accumulate(
pred_out_dims.d + 1, pred_out_dims.d + pred_out_dims.nbDims, 1, std::multiplies<int>());
out_pred_elem_num_ = out_pred_elem_num_ * batch_config[2];
out_pred_elem_num_per_batch_ = static_cast<size_t>(out_pred_elem_num_ / batch_config[2]);
out_pred_prob_d_ = cuda_utils::make_unique<float[]>(out_pred_elem_num_);
out_pred_prob_d_ = autoware::cuda_utils::make_unique<float[]>(out_pred_elem_num_);
out_pred_prob_h_ =
cuda_utils::make_unique_host<float[]>(out_pred_elem_num_, cudaHostAllocPortable);
autoware::cuda_utils::make_unique_host<float[]>(out_pred_elem_num_, cudaHostAllocPortable);

g_type_mean_size_ = {{4.6344314, 1.9600292, 1.7375569}, {6.936331, 2.5178623, 2.8506238},
{11.194943, 2.9501154, 3.4918275}, {12.275775, 2.9231303, 3.87086},
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2 changes: 1 addition & 1 deletion perception/autoware_shape_estimation/package.xml
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Expand Up @@ -17,10 +17,10 @@
<buildtool_export_depend>cudnn_cmake_module</buildtool_export_depend>
<buildtool_export_depend>tensorrt_cmake_module</buildtool_export_depend>

<depend>autoware_cuda_utils</depend>
<depend>autoware_perception_msgs</depend>
<depend>autoware_tensorrt_common</depend>
<depend>autoware_universe_utils</depend>
<depend>cuda_utils</depend>
<depend>eigen</depend>
<depend>libopencv-dev</depend>
<depend>libpcl-all-dev</depend>
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Expand Up @@ -36,8 +36,8 @@

#ifndef AUTOWARE__TENSORRT_CLASSIFIER__CALIBRATOR_HPP_
#define AUTOWARE__TENSORRT_CLASSIFIER__CALIBRATOR_HPP_
#include "cuda_utils/cuda_check_error.hpp"
#include "cuda_utils/cuda_unique_ptr.hpp"
#include "autoware/cuda_utils/cuda_check_error.hpp"
#include "autoware/cuda_utils/cuda_unique_ptr.hpp"

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
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Expand Up @@ -15,10 +15,10 @@
#ifndef AUTOWARE__TENSORRT_CLASSIFIER__TENSORRT_CLASSIFIER_HPP_
#define AUTOWARE__TENSORRT_CLASSIFIER__TENSORRT_CLASSIFIER_HPP_

#include <autoware/cuda_utils/cuda_check_error.hpp>
#include <autoware/cuda_utils/cuda_unique_ptr.hpp>
#include <autoware/cuda_utils/stream_unique_ptr.hpp>
#include <autoware/tensorrt_common/tensorrt_common.hpp>
#include <cuda_utils/cuda_check_error.hpp>
#include <cuda_utils/cuda_unique_ptr.hpp>
#include <cuda_utils/stream_unique_ptr.hpp>
#include <opencv2/opencv.hpp>

#include <memory>
Expand All @@ -27,10 +27,10 @@

namespace autoware::tensorrt_classifier
{
using cuda_utils::CudaUniquePtr;
using cuda_utils::CudaUniquePtrHost;
using cuda_utils::makeCudaStream;
using cuda_utils::StreamUniquePtr;
using autoware::cuda_utils::CudaUniquePtr;
using autoware::cuda_utils::CudaUniquePtrHost;
using autoware::cuda_utils::makeCudaStream;
using autoware::cuda_utils::StreamUniquePtr;

/**
* @class TrtClassifier
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2 changes: 1 addition & 1 deletion perception/autoware_tensorrt_classifier/package.xml
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Expand Up @@ -19,8 +19,8 @@

<build_depend>autoware_cmake</build_depend>

<depend>autoware_cuda_utils</depend>
<depend>autoware_tensorrt_common</depend>
<depend>cuda_utils</depend>
<depend>libopencv-dev</depend>
<depend>rclcpp</depend>

Expand Down
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Expand Up @@ -170,13 +170,14 @@ TrtClassifier::TrtClassifier(
std::accumulate(input_dims.d + 1, input_dims.d + input_dims.nbDims, 1, std::multiplies<int>());

const auto output_dims = trt_common_->getBindingDimensions(1);
input_d_ = cuda_utils::make_unique<float[]>(batch_config[2] * input_size);
input_d_ = autoware::cuda_utils::make_unique<float[]>(batch_config[2] * input_size);
out_elem_num_ = std::accumulate(
output_dims.d + 1, output_dims.d + output_dims.nbDims, 1, std::multiplies<int>());
out_elem_num_ = out_elem_num_ * batch_config[2];
out_elem_num_per_batch_ = static_cast<int>(out_elem_num_ / batch_config[2]);
out_prob_d_ = cuda_utils::make_unique<float[]>(out_elem_num_);
out_prob_h_ = cuda_utils::make_unique_host<float[]>(out_elem_num_, cudaHostAllocPortable);
out_prob_d_ = autoware::cuda_utils::make_unique<float[]>(out_elem_num_);
out_prob_h_ =
autoware::cuda_utils::make_unique_host<float[]>(out_elem_num_, cudaHostAllocPortable);

if (cuda) {
m_cuda = true;
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Expand Up @@ -37,8 +37,8 @@
#ifndef AUTOWARE__TENSORRT_YOLOX__CALIBRATOR_HPP_
#define AUTOWARE__TENSORRT_YOLOX__CALIBRATOR_HPP_

#include "cuda_utils/cuda_check_error.hpp"
#include "cuda_utils/cuda_unique_ptr.hpp"
#include "autoware/cuda_utils/cuda_check_error.hpp"
#include "autoware/cuda_utils/cuda_unique_ptr.hpp"

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
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Expand Up @@ -15,10 +15,10 @@
#ifndef AUTOWARE__TENSORRT_YOLOX__TENSORRT_YOLOX_HPP_
#define AUTOWARE__TENSORRT_YOLOX__TENSORRT_YOLOX_HPP_

#include <autoware/cuda_utils/cuda_unique_ptr.hpp>
#include <autoware/cuda_utils/stream_unique_ptr.hpp>
#include <autoware/tensorrt_common/tensorrt_common.hpp>
#include <autoware/tensorrt_yolox/preprocess.hpp>
#include <cuda_utils/cuda_unique_ptr.hpp>
#include <cuda_utils/stream_unique_ptr.hpp>
#include <opencv2/opencv.hpp>

#include <memory>
Expand All @@ -27,10 +27,10 @@

namespace autoware::tensorrt_yolox
{
using cuda_utils::CudaUniquePtr;
using cuda_utils::CudaUniquePtrHost;
using cuda_utils::makeCudaStream;
using cuda_utils::StreamUniquePtr;
using autoware::cuda_utils::CudaUniquePtr;
using autoware::cuda_utils::CudaUniquePtrHost;
using autoware::cuda_utils::makeCudaStream;
using autoware::cuda_utils::StreamUniquePtr;

struct Object
{
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2 changes: 1 addition & 1 deletion perception/autoware_tensorrt_yolox/package.xml
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Expand Up @@ -19,10 +19,10 @@
<buildtool_export_depend>cudnn_cmake_module</buildtool_export_depend>
<buildtool_export_depend>tensorrt_cmake_module</buildtool_export_depend>

<depend>autoware_cuda_utils</depend>
<depend>autoware_object_recognition_utils</depend>
<depend>autoware_perception_msgs</depend>
<depend>autoware_tensorrt_common</depend>
<depend>cuda_utils</depend>
<depend>cv_bridge</depend>
<depend>image_transport</depend>
<depend>libopencv-dev</depend>
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