Added TensorRT v8.0.1

T/TensorRT/build_10.2.jl

@@ -0,0 +1,8 @@
+platforms_and_sources = Dict(
+    Platform("x86_64", "linux") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.0.1/tars/tensorrt-8.0.1.6.linux.x86_64-gnu.cuda-10.2.cudnn8.2.tar.gz",
+                      "110bbfd69fe27e298e1ad1bc35300569069ffeb8b691f48bcaf34703e1bafb96")],
+    Platform("x86_64", "windows") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.0.1/zip/tensorrt-8.0.1.6.windows10.x86_64.cuda-10.2.cudnn8.2.zip",
+                      "003cd632d978205de8b3140da743a9d39647ccb9959a1c219d34201d75a0a49e")],
+)

T/TensorRT/build_11.0.jl

@@ -0,0 +1 @@
+build_11.jl

T/TensorRT/build_11.1.jl

@@ -0,0 +1 @@
+build_11.jl

T/TensorRT/build_11.2.jl

@@ -0,0 +1 @@
+build_11.jl

T/TensorRT/build_11.3.jl

@@ -0,0 +1 @@
+build_11.jl

T/TensorRT/build_11.jl

@@ -0,0 +1,14 @@
+platforms_and_sources = Dict(
+    Platform("x86_64", "linux") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.0.1/tars/tensorrt-8.0.1.6.linux.x86_64-gnu.cuda-11.3.cudnn8.2.tar.gz",
+                      "def6a5ee50bed25a68a9c9e22ec671a8f29ee5414bde47c5767bd279e5596f88")],
+    Platform("ppc64le", "linux") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.0.1/tars/tensorrt-8.0.1.6.centos-8.3.ppc64le-gnu.cuda-11.3.cudnn8.2.tar.gz",
+                      "fd33a32085c468f638505e2603936fa4e3f2a3fa46989570fa0b9e31a9e6914a")],
+    Platform("aarch64", "linux") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.0.1/tars/tensorrt-8.0.1.6.ubuntu-20.04.aarch64-gnu.cuda-11.3.cudnn8.2.tar.gz",
+                      "ea322da72b1b1ca6b8d0715ab14668c54f7d00ad22695d41a85a7055df9f63e1")],
+    Platform("x86_64", "windows") => [
+        ArchiveSource("https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/8.0.1/zip/tensorrt-8.0.1.6.windows10.x86_64.cuda-11.3.cudnn8.2.zip",
+                      "e51b382e931ae9032e431fff218cd2cf2d2b7a7c66c7a6bdf453557612466ae1")],
+)

T/TensorRT/build_tarballs.jl

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+using BinaryBuilder, Pkg
+using Base.BinaryPlatforms: arch, os
+
+include("../../fancy_toys.jl")
+
+name = "TensorRT"
+version = v"8.0.1"
+
+script = raw"""
+mkdir -p ${bindir} ${libdir} ${includedir}
+
+cd ${WORKSPACE}/srcdir
+
+cd TensorRT*
+
+mv bin/* ${bindir}
+mv include/* ${includedir}
+mv lib/*.${dlext}* ${libdir}
+
+if [[ ${target} == x86_64-w64-mingw32 ]]; then
+    chmod +x ${bindir}/*.{dll,exe}
+    install_license doc/TensorRT-SLA.pdf 
+else
+    install_license doc/pdf/TensorRT-SLA.pdf 
+fi
+"""
+
+lib_names = [
+    "nvinfer",
+    "nvinfer_builder_resource",
+    "nvinfer_plugin",
+    "nvonnxparser",
+    "nvparsers"
+]
+
+products = vcat(
+    [LibraryProduct(["lib" * lib_name, lib_name], Symbol("lib" * lib_name)) for lib_name in lib_names],
+    [ExecutableProduct("trtexec", :trtexec)]
+)
+
+dependencies = [Dependency("CUDNN_jll")]
+
+cuda_versions = [v"10.2", v"11.0", v"11.1", v"11.2", v"11.3"]
+for cuda_version in cuda_versions
+    cuda_tag = "$(cuda_version.major).$(cuda_version.minor)"
+    include("build_$(cuda_tag).jl")
+
+    for (platform, sources) in platforms_and_sources
+        augmented_platform = Platform(arch(platform), os(platform); cuda=cuda_tag)
+        should_build_platform(triplet(augmented_platform)) || continue
+        arch(platform) == "x86_64" || cuda_version == v"11.3" || continue # Non-x86_64 archs ARM and Power only support CUDA 11.3
+        build_tarballs(ARGS, name, version, sources, script, [augmented_platform],
+                       products, dependencies; lazy_artifacts=true)
+    end
+end