Add trt decoder

.github/workflows/all_libs.yaml

@@ -57,7 +57,12 @@ jobs:
 
       - name: Install build requirements
         run: |
-          apt install -y --no-install-recommends gfortran libblas-dev
+          apt install -y --no-install-recommends gfortran libblas-dev wget
+          wget https://developer.download.nvidia.com/compute/tensorrt/10.13.3/local_installers/nv-tensorrt-local-repo-ubuntu2404-10.13.3-cuda-12.9_1.0-1_amd64.deb
+          dpkg -i nv-tensorrt-local-repo-ubuntu2404-10.13.3-cuda-12.9_1.0-1_amd64.deb
+          cp /var/nv-tensorrt-local-repo-ubuntu2404-10.13.3-cuda-12.9/nv-tensorrt-local-4B177B4F-keyring.gpg /usr/share/keyrings/
+          apt update
+          apt install -y tensorrt-dev
 
       - name: Build
         id: build

.github/workflows/lib_qec.yaml

@@ -54,6 +54,14 @@ jobs:
       # ========================================================================
       # Build library
       # ========================================================================
+      - name: Install build requirements
+        run: |
+          apt install -y --no-install-recommends gfortran libblas-dev wget
+          wget https://developer.download.nvidia.com/compute/tensorrt/10.13.3/local_installers/nv-tensorrt-local-repo-ubuntu2404-10.13.3-cuda-12.9_1.0-1_amd64.deb
+          dpkg -i nv-tensorrt-local-repo-ubuntu2404-10.13.3-cuda-12.9_1.0-1_amd64.deb
+          cp /var/nv-tensorrt-local-repo-ubuntu2404-10.13.3-cuda-12.9/nv-tensorrt-local-4B177B4F-keyring.gpg /usr/share/keyrings/
+          apt update
+          apt install -y tensorrt-dev
 
       - name: Build
         id: build

libs/qec/include/cudaq/qec/trt_decoder_internal.h

@@ -0,0 +1,56 @@
+/*******************************************************************************
+ * Copyright (c) 2024 - 2025 NVIDIA Corporation & Affiliates.                  *
+ * All rights reserved.                                                        *
+ *                                                                             *
+ * This source code and the accompanying materials are made available under    *
+ * the terms of the Apache License 2.0 which accompanies this distribution.    *
+ ******************************************************************************/
+
+#pragma once
+
+#include "cudaq/qec/decoder.h"
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "NvInfer.h"
+#include "NvOnnxParser.h"
+
+namespace cudaq::qec::trt_decoder_internal {
+
+/// @brief Validates TRT decoder parameters
+/// @param params The parameter map to validate
+/// @throws std::runtime_error if parameters are invalid
+void validate_trt_decoder_parameters(const cudaqx::heterogeneous_map &params);
+
+/// @brief Loads a binary file into memory
+/// @param filename Path to the file to load
+/// @return Vector containing the file contents
+/// @throws std::runtime_error if file cannot be opened
+std::vector<char> load_file(const std::string &filename);
+
+/// @brief Builds a TensorRT engine from an ONNX model
+/// @param onnx_model_path Path to the ONNX model file
+/// @param params Configuration parameters
+/// @param logger TensorRT logger instance
+/// @return Unique pointer to the built TensorRT engine
+/// @throws std::runtime_error if engine building fails
+std::unique_ptr<nvinfer1::ICudaEngine>
+build_engine_from_onnx(const std::string &onnx_model_path,
+                       const cudaqx::heterogeneous_map &params,
+                       nvinfer1::ILogger &logger);
+
+/// @brief Saves a TensorRT engine to a file
+/// @param engine The engine to save
+/// @param file_path Path where to save the engine
+/// @throws std::runtime_error if saving fails
+void save_engine_to_file(nvinfer1::ICudaEngine *engine,
+                         const std::string &file_path);
+
+/// @brief Parses and configures precision settings for TensorRT
+/// @param precision The precision string (fp16, bf16, int8, fp8, noTF32, best)
+/// @param config TensorRT builder config instance
+void parse_precision(const std::string &precision,
+                     nvinfer1::IBuilderConfig *config);
+
+} // namespace cudaq::qec::trt_decoder_internal

libs/qec/lib/CMakeLists.txt

@@ -24,6 +24,7 @@ add_library(${LIBRARY_NAME} SHARED
 )
 
 add_subdirectory(decoders/plugins/example)
+add_subdirectory(decoders/plugins/trt_decoder)
 add_subdirectory(codes)
 add_subdirectory(device) 
 

libs/qec/lib/decoders/plugins/trt_decoder/CMakeLists.txt

@@ -0,0 +1,143 @@
+# ============================================================================ #
+# Copyright (c) 2024 - 2025 NVIDIA Corporation & Affiliates.                   #
+# All rights reserved.                                                         #
+#                                                                              #
+# This source code and the accompanying materials are made available under     #
+# the terms of the Apache License 2.0 which accompanies this distribution.     #
+# ============================================================================ #
+
+cmake_minimum_required(VERSION 3.28 FATAL_ERROR)
+
+set(MODULE_NAME "cudaq-qec-trt-decoder")
+
+project(${MODULE_NAME})
+
+# Set default TensorRT root if not provided
+if(NOT DEFINED TENSORRT_ROOT)
+    message(STATUS "TENSORRT_ROOT not provided, using default: ${TENSORRT_ROOT}")
+else()
+    message(STATUS "Using TENSORRT_ROOT: ${TENSORRT_ROOT}")
+endif()
+
+# Specify the source file for the plugin
+set(PLUGIN_SRC
+  trt_decoder.cpp
+  # Add additional source files here as needed
+)
+
+find_package(CUDAToolkit REQUIRED)
+
+# Create the shared library
+add_library(${MODULE_NAME} SHARED ${PLUGIN_SRC})
+
+# Check for TensorRT availability
+find_path(TENSORRT_INCLUDE_DIR NvInfer.h
+    PATHS
+        ${TENSORRT_ROOT}/include
+        /usr/include/x86_64-linux-gnu
+        /usr/local/cuda/include
+        /usr/local/tensorrt/include
+        /opt/tensorrt/include
+    NO_DEFAULT_PATH
+)
+
+find_library(TENSORRT_LIBRARY nvinfer
+    PATHS
+        ${TENSORRT_ROOT}/lib
+        /usr/lib/x86_64-linux-gnu
+        /usr/local/cuda/lib64
+        /usr/local/tensorrt/lib
+        /opt/tensorrt/lib
+    NO_DEFAULT_PATH
+)
+
+find_library(TENSORRT_ONNX_LIBRARY nvonnxparser
+    PATHS
+        ${TENSORRT_ROOT}/lib
+        /usr/lib/x86_64-linux-gnu
+        /usr/local/cuda/lib64
+        /usr/local/tensorrt/lib
+        /opt/tensorrt/lib
+    NO_DEFAULT_PATH
+)
+
+if(TENSORRT_INCLUDE_DIR AND TENSORRT_LIBRARY AND TENSORRT_ONNX_LIBRARY)
+    message(STATUS "TensorRT found: ${TENSORRT_INCLUDE_DIR}")
+    message(STATUS "TensorRT library: ${TENSORRT_LIBRARY}")
+    message(STATUS "TensorRT ONNX parser: ${TENSORRT_ONNX_LIBRARY}")
+    target_compile_definitions(${MODULE_NAME} PRIVATE TENSORRT_AVAILABLE)
+else()
+    message(WARNING "TensorRT not found. Building decoder without TensorRT support.")
+    message(WARNING "TENSORRT_INCLUDE_DIR: ${TENSORRT_INCLUDE_DIR}")
+    message(WARNING "TENSORRT_LIBRARY: ${TENSORRT_LIBRARY}")
+    message(WARNING "TENSORRT_ONNX_LIBRARY: ${TENSORRT_ONNX_LIBRARY}")
+endif()
+
+# Set the include directories for dependencies
+target_include_directories(${MODULE_NAME}
+  PUBLIC
+    ${CMAKE_SOURCE_DIR}/libs/qec/include
+    ${CMAKE_SOURCE_DIR}/libs/core/include
+)
+
+# Add TensorRT include directory if found
+if(TENSORRT_INCLUDE_DIR)
+    target_include_directories(${MODULE_NAME} PRIVATE 
+        ${TENSORRT_INCLUDE_DIR}
+        ${CUDAToolkit_INCLUDE_DIRS}
+    )
+endif()
+
+# Link with required libraries 
+target_link_libraries(${MODULE_NAME}
+  PUBLIC
+    cudaqx-core
+    cudaq::cudaq-operator
+  PRIVATE
+    cudaq::cudaq-common
+    cudaq-qec
+)
+
+# Conditionally link TensorRT libraries
+if(TENSORRT_LIBRARY AND TENSORRT_ONNX_LIBRARY)
+    target_link_libraries(${MODULE_NAME} PRIVATE
+        ${TENSORRT_LIBRARY}
+        ${TENSORRT_ONNX_LIBRARY}
+        CUDA::cudart
+    )
+endif()
+
+set_target_properties(${MODULE_NAME} PROPERTIES
+  LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib/decoder-plugins
+)
+
+# RPATH configuration 
+# ==============================================================================
+
+if (NOT SKBUILD)
+  set_target_properties(${MODULE_NAME} PROPERTIES
+    BUILD_RPATH "$ORIGIN:${TENSORRT_ROOT}/lib"
+    INSTALL_RPATH "$ORIGIN:$ORIGIN/../../../tensorrt_libs"
+  )
+
+  # Let CMake automatically add paths of linked libraries to the RPATH:
+  set_target_properties(${MODULE_NAME} PROPERTIES
+    INSTALL_RPATH_USE_LINK_PATH TRUE)
+else()
+  # CUDA-Q install its libraries in site-packages/lib (or dist-packages/lib)
+  # Thus, we need the $ORIGIN/../lib
+  set_target_properties(${MODULE_NAME} PROPERTIES
+    INSTALL_RPATH "$ORIGIN:$ORIGIN/../../../tensorrt_libs"
+  )
+endif()
+
+# Install
+# ==============================================================================
+
+install(TARGETS ${MODULE_NAME}
+  COMPONENT qec-lib-plugins
+  LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}/decoder-plugins
+)
+
+
+