From 0d2a48b0c08d00f0071e0486a86d3a77203607fc Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Mon, 14 Sep 2020 10:14:03 -0700 Subject: [PATCH 01/16] Load default plugins shipped with TensorRT when creating a new builder. --- .gitattributes | 1 + assets/lenet5.uff | Bin 1726431 -> 132 bytes .../trt-sys/TRTBuilder/TRTBuilder.cpp | 3 +++ 3 files changed, 4 insertions(+) diff --git a/.gitattributes b/.gitattributes index ee6259b..434b972 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1,3 +1,4 @@ tensorrt-sys/3rdParty/TensorRT-5.1.5/libnvinfer_plugin_static.a filter=lfs diff=lfs merge=lfs -text tensorrt-sys/3rdParty/TensorRT-5.1.5/libnvinfer_static.a filter=lfs diff=lfs merge=lfs -text tensorrt-sys/3rdParty/TensorRT-5.1.5/libnvparsers_static.a filter=lfs diff=lfs merge=lfs -text +assets/* filter=lfs diff=lfs merge=lfs -text diff --git a/assets/lenet5.uff b/assets/lenet5.uff index ee41bb4ab07969a87953a8f1774a94436bb361c4..0557df672dee0447d6fd77ac0bc645565d3bb8b2 100644 GIT binary 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z`+X{z1#D8p1ybw9*VN~-rC&^NW_c{BI2ZHqSGpW(4D!Hv+Q-?sE3w3F`7kt=YGV^^2QuBwwaoF_ z2$5~uQ8vTYU$n2;noPWF3$H#JvRkKHMOH3K1OMOBYuN~a`s+|7H}3zZ{QCcR^#2rQ G68{UxndX@Q diff --git a/tensorrt-sys/trt-sys/TRTBuilder/TRTBuilder.cpp b/tensorrt-sys/trt-sys/TRTBuilder/TRTBuilder.cpp index b7a6fe5..e778eee 100644 --- a/tensorrt-sys/trt-sys/TRTBuilder/TRTBuilder.cpp +++ b/tensorrt-sys/trt-sys/TRTBuilder/TRTBuilder.cpp @@ -3,6 +3,7 @@ // #include #include +#include #include "TRTBuilder.h" #include "../TRTNetworkDefinition/TRTNetworkDefinitionInternal.hpp" @@ -24,6 +25,8 @@ struct Builder { }; Builder_t *create_infer_builder(Logger_t *logger) { + initLibNvInferPlugins(&logger->getLogger(), ""); + return new Builder(logger->getLogger()); } From 83e026b756bf7f1f6b41015684ce76aef607fa8c Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Mon, 14 Sep 2020 10:14:45 -0700 Subject: [PATCH 02/16] Rename example to match the nvidia provided sample that we're replicating. --- tensorrt/examples/{image_inference => mnist_uff}/main.rs | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename tensorrt/examples/{image_inference => mnist_uff}/main.rs (100%) diff --git a/tensorrt/examples/image_inference/main.rs b/tensorrt/examples/mnist_uff/main.rs similarity index 100% rename from tensorrt/examples/image_inference/main.rs rename to tensorrt/examples/mnist_uff/main.rs From 7d1eb6f67e7141c871a66ba0f6f41e6620697a66 Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Mon, 14 Sep 2020 23:15:53 -0700 Subject: [PATCH 03/16] Add ability to set the logger's severity level after construction. The default level is Warning as that seems like a sensible choice but end users may select any level they find appropriate. --- tensorrt-sys/src/bindings.rs | 5 ++++- tensorrt-sys/trt-sys/TRTLogger/TRTLogger.cpp | 12 +++++++++-- tensorrt-sys/trt-sys/TRTLogger/TRTLogger.h | 3 ++- .../trt-sys/TRTLogger/TRTLoggerInternal.hpp | 10 +++++++--- tensorrt/src/runtime.rs | 20 +++++++++++++++++-- 5 files changed, 41 insertions(+), 9 deletions(-) diff --git a/tensorrt-sys/src/bindings.rs b/tensorrt-sys/src/bindings.rs index 3c499e4..ac3416f 100644 --- a/tensorrt-sys/src/bindings.rs +++ b/tensorrt-sys/src/bindings.rs @@ -13,7 +13,10 @@ extern "C" { pub fn get_tensorrt_version(string: *mut ::std::os::raw::c_char); } extern "C" { - pub fn create_logger() -> *mut Logger_t; + pub fn create_logger(severity: ::std::os::raw::c_int) -> *mut Logger_t; +} +extern "C" { + pub fn set_logger_severity(logger: *const Logger_t, severity: ::std::os::raw::c_int); } extern "C" { pub fn log_error(logger: *mut Logger_t, err: *mut ::std::os::raw::c_char); diff --git a/tensorrt-sys/trt-sys/TRTLogger/TRTLogger.cpp b/tensorrt-sys/trt-sys/TRTLogger/TRTLogger.cpp index e1459c9..a140bc2 100644 --- a/tensorrt-sys/trt-sys/TRTLogger/TRTLogger.cpp +++ b/tensorrt-sys/trt-sys/TRTLogger/TRTLogger.cpp @@ -9,8 +9,10 @@ void get_tensorrt_version(char *string) { sprintf(string, "%d.%d.%d", NV_TENSORRT_MAJOR, NV_TENSORRT_MINOR, NV_TENSORRT_PATCH); } -Logger_t *create_logger() { - return new Logger(); +Logger_t *create_logger(const int severity) { + auto nvSeverity = static_cast(severity); + + return new Logger(nvSeverity); } void delete_logger(Logger_t *logger) { @@ -20,6 +22,12 @@ void delete_logger(Logger_t *logger) { delete logger; } +void set_logger_severity(const Logger_t* logger, const int severity) { + auto nvSeverity = static_cast(severity); + + logger->internal_logger->severity(nvSeverity); +} + void log_error(Logger_t *logger, char *err) { if (logger == nullptr) return; diff --git a/tensorrt-sys/trt-sys/TRTLogger/TRTLogger.h b/tensorrt-sys/trt-sys/TRTLogger/TRTLogger.h index 08559e8..3f0aae9 100644 --- a/tensorrt-sys/trt-sys/TRTLogger/TRTLogger.h +++ b/tensorrt-sys/trt-sys/TRTLogger/TRTLogger.h @@ -14,7 +14,8 @@ typedef struct Logger Logger_t; void get_tensorrt_version(char* string); -Logger_t* create_logger(); +Logger_t* create_logger(const int severity); +void set_logger_severity(const Logger_t* logger, const int severity); void log_error(Logger_t* logger, char* err); void delete_logger(Logger_t* logger); diff --git a/tensorrt-sys/trt-sys/TRTLogger/TRTLoggerInternal.hpp b/tensorrt-sys/trt-sys/TRTLogger/TRTLoggerInternal.hpp index 710ff1f..639f5f4 100644 --- a/tensorrt-sys/trt-sys/TRTLogger/TRTLoggerInternal.hpp +++ b/tensorrt-sys/trt-sys/TRTLogger/TRTLoggerInternal.hpp @@ -10,7 +10,7 @@ class TRTLogger : public nvinfer1::ILogger { public: - explicit TRTLogger(nvinfer1::ILogger::Severity severity = nvinfer1::ILogger::Severity::kWARNING) + explicit TRTLogger(nvinfer1::ILogger::Severity severity) : mReportableSeverity(severity) { } @@ -19,6 +19,10 @@ class TRTLogger : public nvinfer1::ILogger { printf("%s\n", msg); } + void severity(nvinfer1::ILogger::Severity severity) { + mReportableSeverity = severity; + } + private: nvinfer1::ILogger::Severity mReportableSeverity; }; @@ -26,8 +30,8 @@ class TRTLogger : public nvinfer1::ILogger { struct Logger { std::unique_ptr internal_logger; - explicit Logger() { - internal_logger = std::make_unique(); + explicit Logger(nvinfer1::ILogger::Severity severity) { + internal_logger = std::make_unique(severity); }; [[nodiscard]] nvinfer1::ILogger& getLogger() const; diff --git a/tensorrt/src/runtime.rs b/tensorrt/src/runtime.rs index 27634b7..f6956ad 100644 --- a/tensorrt/src/runtime.rs +++ b/tensorrt/src/runtime.rs @@ -1,4 +1,13 @@ -use tensorrt_sys::{create_infer_runtime, create_logger, delete_logger, destroy_infer_runtime}; +use tensorrt_sys::{create_infer_runtime, create_logger, delete_logger, destroy_infer_runtime, set_logger_severity}; + +#[repr(C)] +pub enum LoggerSeverity { + InternalError, + Error, + Warning, + Info, + Verbose, +} pub struct Logger { pub(crate) internal_logger: *mut tensorrt_sys::Logger_t, @@ -6,11 +15,18 @@ pub struct Logger { impl Logger { pub fn new() -> Logger { - let logger = unsafe { create_logger() }; + let logger = unsafe { create_logger(LoggerSeverity::Warning as i32) }; Logger { internal_logger: logger, } } + + pub fn severity(mut self, severity: LoggerSeverity) -> Logger { + unsafe { + set_logger_severity(self.internal_logger, severity as i32); + }; + self + } } impl Drop for Logger { From c2da6407d6a9a59809302472eca5eb807b13e24a Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Thu, 17 Sep 2020 22:36:30 -0700 Subject: [PATCH 04/16] Add dog image and sample ssd model for examples --- {assets => tensorrt/assets}/images/0.pgm | Bin {assets => tensorrt/assets}/images/1.pgm | Bin {assets => tensorrt/assets}/lenet5.uff | 0 3 files changed, 0 insertions(+), 0 deletions(-) rename {assets => tensorrt/assets}/images/0.pgm (100%) rename {assets => tensorrt/assets}/images/1.pgm (100%) rename {assets => tensorrt/assets}/lenet5.uff (100%) diff --git a/assets/images/0.pgm b/tensorrt/assets/images/0.pgm similarity index 100% rename from assets/images/0.pgm rename to tensorrt/assets/images/0.pgm diff --git a/assets/images/1.pgm b/tensorrt/assets/images/1.pgm similarity index 100% rename from assets/images/1.pgm rename to tensorrt/assets/images/1.pgm diff --git a/assets/lenet5.uff b/tensorrt/assets/lenet5.uff similarity index 100% rename from assets/lenet5.uff rename to tensorrt/assets/lenet5.uff From 6e6d7ae05592a78d238bf7bbd11cdd8b4d7a9b1d Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Mon, 21 Sep 2020 20:22:21 -0700 Subject: [PATCH 05/16] Add SSD implementation based on the sample found in the TensorRT samples directory on GitHub --- tensorrt-sys/README.md | 6 ++++- tensorrt-sys/build.rs | 26 +++++++++--------- tensorrt/examples/ssd_uff/main.rs | 45 +++++++++++++++++++++++++++++++ tensorrt/src/runtime.rs | 2 +- 4 files changed, 64 insertions(+), 15 deletions(-) create mode 100644 tensorrt/examples/ssd_uff/main.rs diff --git a/tensorrt-sys/README.md b/tensorrt-sys/README.md index 497ad3c..cb1e2b2 100644 --- a/tensorrt-sys/README.md +++ b/tensorrt-sys/README.md @@ -17,7 +17,7 @@ CMake > 3.10 TensorRT-sys' bindings depends on TensorRT 5.1.5 for the bindings to work correctly. While other versions of -TensorRT *may* work with the bindings there are no guarantees as functions that are boudn to may have been depricated, +TensorRT *may* work with the bindings there are no guarantees as functions that are bound to may have been depricated, removed, or changed in future versions of TensorRT. The prerequisites enumerated above are expected to be installed in their default location on Linux. See the [nvidia @@ -27,6 +27,10 @@ further install information. __Note:__ The tarball installation method described in the TesnorRT documentation is likely to cause major headaches with getting everything to link correctly. It is highly recommended to use the package manager method if possible. +If there are issues with loading default TensoRT plugins it seems that there are some missing plugins that were not +provided with the 5.1.5 binary installation at one point in time. To get these plugins follow the instructions for building +and installing the TensorRT OSS components from [here](https://github.com/NVIDIA/TensorRT). + Windows support is not currently supported but should be coming soon! ### Support Matrix for TensorRT Classes diff --git a/tensorrt-sys/build.rs b/tensorrt-sys/build.rs index 4dcca3a..26e90b7 100644 --- a/tensorrt-sys/build.rs +++ b/tensorrt-sys/build.rs @@ -98,18 +98,18 @@ fn main() { println!("cargo:rustc-flags=-l dylib=stdc++"); match get_shared_lib_link_path("libnvinfer") { - Some(link_path) => { - match std::fs::read_link(link_path) { - Ok(full_library_path) => { - configuration(&full_library_path); - }, - Err(_) => { - panic!("libnvinfer.so not found! See https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-515/tensorrt-install-guide/index.html for install instructions"); - } - } - }, - None => { - panic!("libnvinfer.so not found! See https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-515/tensorrt-install-guide/index.html for install instructions"); - } + Some(link_path) => { + match std::fs::read_link(link_path) { + Ok(full_library_path) => { + configuration(&full_library_path); + } + Err(_) => { + panic!("libnvinfer.so not found! See https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-515/tensorrt-install-guide/index.html for install instructions"); + } + } + } + None => { + panic!("libnvinfer.so not found! See https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-515/tensorrt-install-guide/index.html for install instructions"); + } } } diff --git a/tensorrt/examples/ssd_uff/main.rs b/tensorrt/examples/ssd_uff/main.rs new file mode 100644 index 0000000..63efde8 --- /dev/null +++ b/tensorrt/examples/ssd_uff/main.rs @@ -0,0 +1,45 @@ +use ndarray_image; +use ndarray::Array; +use std::path::Path; +use std::iter::FromIterator; +use tensorrt_rs::runtime::Logger; +use tensorrt_rs::builder::Builder; +use tensorrt_rs::engine::Engine; +use tensorrt_rs::uff::{UffInputOrder, UffParser, UffFile}; +use tensorrt_rs::dims::DimsCHW; + +fn create_engine(uff_file: &UffFile) -> Engine { + let logger = Logger::new(); + let builder = Builder::new(&logger); + + let uff_parser = UffParser::new(); + let dim = DimsCHW::new(3, 300, 300); + uff_parser.register_input("Input", dim, UffInputOrder::Nchw).unwrap(); + uff_parser.register_output("NMS").unwrap(); + uff_parser.parse(uff_file, builder.get_network()).unwrap(); + + builder.build_cuda_engine() +} + +//TOOD: Add get dims function to engine that returns all the dims for each binding. +// Figure out sutiable algorithm for figuring out how to calculate the needed space based on the +// dims information provided by the engine. See https://github.com/NVIDIA/TensorRT/blob/release/5.1/samples/common/buffers.h +// for a C++ example. Could think about putting it as a value on the Engine struct itself? +fn main() { + let uff_file = UffFile::new(Path::new("../assets/sample_ssd_relu6.uff")).unwrap(); + let engine = create_engine(&uff_file); + println!("Nb outputs: {}", engine.get_nb_bindings()); + // println!("Binding dims: {}", engine.get) + + let context = engine.create_execution_context(); + let input_image = image::open("../assets/images/dog.ppm").unwrap().into_bgr(); + + let array: ndarray_image::NdColor = ndarray_image::NdImage(&input_image).into(); + println!("NdArray shape: {:?}", array.shape()); + let transposed = array.t(); + println!("NdArray shape transposed: {:?}", transposed.shape()); + let pre_processed = Array::from_iter(transposed.iter().map(|&x| 1.0 - (x as f32) / 255.0)); + + + println!("Done!"); +} \ No newline at end of file diff --git a/tensorrt/src/runtime.rs b/tensorrt/src/runtime.rs index f6956ad..bc75a0b 100644 --- a/tensorrt/src/runtime.rs +++ b/tensorrt/src/runtime.rs @@ -21,7 +21,7 @@ impl Logger { } } - pub fn severity(mut self, severity: LoggerSeverity) -> Logger { + pub fn severity(self, severity: LoggerSeverity) -> Logger { unsafe { set_logger_severity(self.internal_logger, severity as i32); }; From abf80c759d437ce2c3e6c3096a404dc3da551bcf Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Mon, 21 Sep 2020 22:04:06 -0700 Subject: [PATCH 06/16] Refactor Dims to be a struct that we can access fields on in Rust rather than just an opaque pointer --- tensorrt-sys/src/bindings.rs | 152 ++++++++++--------- tensorrt-sys/trt-sys/TRTDims/TRTDims.cpp | 185 +++++++++++++---------- tensorrt-sys/trt-sys/TRTDims/TRTDims.h | 41 +++-- tensorrt/src/dims.rs | 20 +-- 4 files changed, 218 insertions(+), 180 deletions(-) diff --git a/tensorrt-sys/src/bindings.rs b/tensorrt-sys/src/bindings.rs index ac3416f..a9f7dd9 100644 --- a/tensorrt-sys/src/bindings.rs +++ b/tensorrt-sys/src/bindings.rs @@ -160,84 +160,109 @@ extern "C" { extern "C" { pub fn destroy_infer_runtime(runtime: *mut Runtime_t); } +pub const DimensionType_kSPATIAL: DimensionType = 0; +pub const DimensionType_kCHANNEL: DimensionType = 1; +pub const DimensionType_kINDEX: DimensionType = 2; +pub const DimensionType_kSEQUENCE: DimensionType = 3; +pub type DimensionType = ::std::os::raw::c_uint; +pub use self::DimensionType as DimensionType_t; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct Dims { - _unused: [u8; 0], -} -pub type Dims_t = Dims; -#[repr(C)] -#[derive(Debug, Copy, Clone)] -pub struct Dims2 { - _unused: [u8; 0], -} -pub type Dims2_t = Dims2; -#[repr(C)] -#[derive(Debug, Copy, Clone)] -pub struct Dims3 { - _unused: [u8; 0], -} -pub type Dims3_t = Dims3; -#[repr(C)] -#[derive(Debug, Copy, Clone)] -pub struct Dims4 { - _unused: [u8; 0], -} -pub type Dims4_t = Dims4; -#[repr(C)] -#[derive(Debug, Copy, Clone)] -pub struct DimsHW { - _unused: [u8; 0], + pub nbDims: ::std::os::raw::c_int, + pub d: [::std::os::raw::c_int; 8usize], + pub type_: [DimensionType_t; 8usize], } -pub type DimsHW_t = DimsHW; -#[repr(C)] -#[derive(Debug, Copy, Clone)] -pub struct DimsCHW { - _unused: [u8; 0], -} -pub type DimsCHW_t = DimsCHW; -#[repr(C)] -#[derive(Debug, Copy, Clone)] -pub struct DimsNCHW { - _unused: [u8; 0], +#[test] +fn bindgen_test_layout_Dims() { + assert_eq!( + ::std::mem::size_of::(), + 68usize, + concat!("Size of: ", stringify!(Dims)) + ); + assert_eq!( + ::std::mem::align_of::(), + 4usize, + concat!("Alignment of ", stringify!(Dims)) + ); + assert_eq!( + unsafe { &(*(::std::ptr::null::())).nbDims as *const _ as usize }, + 0usize, + concat!( + "Offset of field: ", + stringify!(Dims), + "::", + stringify!(nbDims) + ) + ); + assert_eq!( + unsafe { &(*(::std::ptr::null::())).d as *const _ as usize }, + 4usize, + concat!("Offset of field: ", stringify!(Dims), "::", stringify!(d)) + ); + assert_eq!( + unsafe { &(*(::std::ptr::null::())).type_ as *const _ as usize }, + 36usize, + concat!( + "Offset of field: ", + stringify!(Dims), + "::", + stringify!(type_) + ) + ); } -pub type DimsNCHW_t = DimsNCHW; +pub type Dims_t = Dims; extern "C" { pub fn create_dims( nb_dims: ::std::os::raw::c_int, d: *const ::std::os::raw::c_int, - dimension_types: *const ::std::os::raw::c_int, + dimension_types: *const DimensionType_t, ) -> *mut Dims_t; } extern "C" { pub fn create_dims2(dim1: ::std::os::raw::c_int, dim2: ::std::os::raw::c_int) -> *mut Dims_t; } extern "C" { - pub fn create_dims3( - dim1: ::std::os::raw::c_int, - dim2: ::std::os::raw::c_int, - dim3: ::std::os::raw::c_int, + pub fn create_dimsHW( + height: ::std::os::raw::c_int, + width: ::std::os::raw::c_int, ) -> *mut Dims_t; } extern "C" { - pub fn create_dims4( + pub fn dims2_set_dimension_types( + dims2: *mut Dims_t, + type1: DimensionType_t, + type2: DimensionType_t, + ); +} +extern "C" { + pub fn create_dims3( dim1: ::std::os::raw::c_int, dim2: ::std::os::raw::c_int, dim3: ::std::os::raw::c_int, - dim4: ::std::os::raw::c_int, ) -> *mut Dims_t; } extern "C" { - pub fn create_dimsHW( + pub fn create_dimsCHW( + channel: ::std::os::raw::c_int, height: ::std::os::raw::c_int, width: ::std::os::raw::c_int, ) -> *mut Dims_t; } extern "C" { - pub fn create_dimsCHW( - channel: ::std::os::raw::c_int, - height: ::std::os::raw::c_int, - width: ::std::os::raw::c_int, + pub fn dims3_set_dimension_types( + dims3: *mut Dims_t, + type1: DimensionType_t, + type2: DimensionType_t, + type3: DimensionType_t, + ); +} +extern "C" { + pub fn create_dims4( + dim1: ::std::os::raw::c_int, + dim2: ::std::os::raw::c_int, + dim3: ::std::os::raw::c_int, + dim4: ::std::os::raw::c_int, ) -> *mut Dims_t; } extern "C" { @@ -248,33 +273,18 @@ extern "C" { width: ::std::os::raw::c_int, ) -> *mut Dims_t; } -extern "C" { - pub fn destroy_dims(dims: *mut Dims_t); -} -extern "C" { - pub fn dims2_set_dimension_types( - dims2: *mut Dims_t, - type1: ::std::os::raw::c_int, - type2: ::std::os::raw::c_int, - ); -} -extern "C" { - pub fn dims3_set_dimension_types( - dims3: *mut Dims_t, - type1: ::std::os::raw::c_int, - type2: ::std::os::raw::c_int, - type3: ::std::os::raw::c_int, - ); -} extern "C" { pub fn dims4_set_dimension_types( dims4: *mut Dims_t, - type1: ::std::os::raw::c_int, - type2: ::std::os::raw::c_int, - type3: ::std::os::raw::c_int, - type4: ::std::os::raw::c_int, + type1: DimensionType_t, + type2: DimensionType_t, + type3: DimensionType_t, + type4: DimensionType_t, ); } +extern "C" { + pub fn destroy_dims(dims: *mut Dims_t); +} #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct Network { diff --git a/tensorrt-sys/trt-sys/TRTDims/TRTDims.cpp b/tensorrt-sys/trt-sys/TRTDims/TRTDims.cpp index d64e127..8195680 100644 --- a/tensorrt-sys/trt-sys/TRTDims/TRTDims.cpp +++ b/tensorrt-sys/trt-sys/TRTDims/TRTDims.cpp @@ -2,119 +2,148 @@ // Created by mason on 4/30/20. // #include +#include #include "TRTDimsInternal.hpp" #include -struct Dims { - nvinfer1::Dims internal_dims; - - explicit Dims(int nbDims, const int* d, const int* type) { - internal_dims = nvinfer1::Dims {}; - internal_dims.nbDims = nbDims; - memcpy(internal_dims.d, d, nvinfer1::Dims::MAX_DIMS * sizeof(int)); - memcpy(internal_dims.type, type, nvinfer1::Dims::MAX_DIMS * sizeof(int)); - } - - explicit Dims(int dim1, int dim2) { - internal_dims = nvinfer1::Dims2(dim1, dim2); - } - - explicit Dims(int dim1, int dim2, int dim3) { - internal_dims = nvinfer1::Dims3(dim1, dim2, dim3); - } +//struct Dims { +// nvinfer1::Dims internal_dims; +// +// explicit Dims(int nbDims, const int* d, const int* type) { +// internal_dims = nvinfer1::Dims {}; +// internal_dims.nbDims = nbDims; +// memcpy(internal_dims.d, d, nvinfer1::Dims::MAX_DIMS * sizeof(int)); +// memcpy(internal_dims.type, type, nvinfer1::Dims::MAX_DIMS * sizeof(int)); +// } +// +// explicit Dims(int dim1, int dim2) { +// internal_dims = nvinfer1::Dims2(dim1, dim2); +// } +// +// explicit Dims(int dim1, int dim2, int dim3) { +// internal_dims = nvinfer1::Dims3(dim1, dim2, dim3); +// } +// +// explicit Dims(int dim1, int dim2, int dim3, int dim4) { +// internal_dims = nvinfer1::Dims4(dim1, dim2, dim3, dim4); +// } +//}; + +Dims_t* create_dims(int nb_dims, const int* d, const DimensionType_t *dimension_types) { + auto dims = static_cast(malloc(sizeof(Dims_t))); + dims->nbDims = nb_dims; + memcpy(dims->d, d, nvinfer1::Dims::MAX_DIMS * sizeof(int)); + memcpy(dims->type, dimension_types, nvinfer1::Dims::MAX_DIMS * sizeof(DimensionType)); + + return dims; +} - explicit Dims(int dim1, int dim2, int dim3, int dim4) { - internal_dims = nvinfer1::Dims4(dim1, dim2, dim3, dim4); - } -}; +Dims_t* create_dims2(int dim1, int dim2) { + auto dims = static_cast(malloc(sizeof(Dims_t))); + dims->nbDims = 2; + dims->d[0] = dim1; + dims->d[1] = dim2; -Dims_t* create_dims(int nb_dims, const int* d, const int* dimension_types) { - return new Dims(nb_dims, d, dimension_types); + return dims; } -Dims_t* create_dims2(int dim1, int dim2) { - return new Dims(dim1, dim2); +Dims_t* create_dimsHW(int height , int width) { + auto dims = static_cast(malloc(sizeof(Dims_t))); + dims->nbDims = 2; + dims->d[0] = height; + dims->d[1] = width; + dims->type[0] = kSPATIAL; + dims->type[1] = kSPATIAL; + + return dims; } Dims_t* create_dims3(int dim1, int dim2, int dim3) { - return new Dims(dim1, dim2, dim3); + auto dims = static_cast(malloc(sizeof(Dims_t))); + dims->nbDims = 3; + dims->d[0] = dim1; + dims->d[1] = dim2; + dims->d[2] = dim3; + + return dims; +} +Dims_t* create_dimsCHW(int channels, int height, int width) { + auto dims = static_cast(malloc(sizeof(Dims_t))); + dims->nbDims = 3; + dims->d[0] = channels; + dims->d[1] = height; + dims->d[2] = width; + dims->type[0] = kCHANNEL; + dims->type[1] = kSPATIAL; + dims->type[2] = kSPATIAL; + + return dims; } Dims_t* create_dims4(int dim1, int dim2, int dim3, int dim4) { - return new Dims(dim1, dim2, dim3, dim4); + auto dims = static_cast(malloc(sizeof(Dims_t))); + dims->nbDims = 4; + dims->d[0] = dim1; + dims->d[1] = dim2; + dims->d[2] = dim3; + dims->d[3] = dim4; + + return dims; +} + +Dims_t* create_dimsNCHW(int batchSize, int channel, int height, int width) { + auto dims = static_cast(malloc(sizeof(Dims_t))); + dims->nbDims = 4; + dims->d[0] = batchSize; + dims->d[1] = channel; + dims->d[2] = height; + dims->d[3] = width; + dims->type[0] = kINDEX; + dims->type[1] = kCHANNEL; + dims->type[2] = kSPATIAL; + dims->type[2] = kSPATIAL; + + return dims; } nvinfer1::Dims dims_get(const Dims_t* dims) { - return dims->internal_dims; + nvinfer1::Dims nvDim{}; + nvDim.nbDims = dims->nbDims; + memcpy(nvDim.d, dims->d, nvinfer1::Dims::MAX_DIMS * sizeof(int)); + memcpy(nvDim.type, dims->type, nvinfer1::Dims::MAX_DIMS * sizeof(int)); + return nvDim; } -void dims2_set_dimension_types(Dims_t* dims2, int type1, int type2) { +void dims2_set_dimension_types(Dims_t* dims2, DimensionType_t type1, DimensionType_t type2) { if (dims2 == nullptr) return; - dims2->internal_dims.type[0] = static_cast(type1); - dims2->internal_dims.type[1] = static_cast(type2); + dims2->type[0] = type1; + dims2->type[1] = type2; } - -void dims3_set_dimension_types(Dims_t* dims3, int type1, int type2, int type3) { +void dims3_set_dimension_types(Dims_t* dims3, DimensionType_t type1, DimensionType_t type2, DimensionType_t type3) { if (dims3 == nullptr) return; - dims3->internal_dims.type[0] = static_cast(type1); - dims3->internal_dims.type[1] = static_cast(type2); - dims3->internal_dims.type[2] = static_cast(type3); + dims3->type[0] = type1; + dims3->type[1] = type2; + dims3->type[2] = type3; } -void dims4_set_dimension_types(Dims_t* dims4, int type1, int type2, int type3, int type4) { +void dims4_set_dimension_types(Dims_t* dims4, DimensionType_t type1, DimensionType_t type2, DimensionType_t type3, DimensionType_t type4) { if (dims4 == nullptr) return; - dims4->internal_dims.type[0] = static_cast(type1); - dims4->internal_dims.type[1] = static_cast(type2); - dims4->internal_dims.type[2] = static_cast(type3); - dims4->internal_dims.type[3] = static_cast(type4); -} - -struct DimsHW { - nvinfer1::DimsHW internal_dimsHW; - - explicit DimsHW(int height, int width) { - internal_dimsHW = nvinfer1::DimsHW(height, width); - } -}; - -Dims_t* create_dimsHW(int height , int width) { - return reinterpret_cast(new DimsHW(height, width)); -} - -struct DimsCHW { - nvinfer1::DimsCHW internal_dimschw; - - explicit DimsCHW(int channels, int height, int width) { - internal_dimschw = nvinfer1::DimsCHW(channels, height, width); - } -}; - -Dims_t* create_dimsCHW(int channels, int height, int width) { - return reinterpret_cast(new DimsCHW(channels, height, width)); -} - -struct DimsNCHW { - nvinfer1::DimsNCHW internal_dimsnchw; - - explicit DimsNCHW(int batchSize, int channel, int height, int width) { - internal_dimsnchw = nvinfer1::DimsNCHW(batchSize, channel, height, width); - } -}; - -Dims_t* create_dimsNCHW(int batchSize, int channel, int height, int width) { - return reinterpret_cast(new DimsNCHW(batchSize, channel, height, width)); + dims4->type[0] = type1; + dims4->type[1] = type2; + dims4->type[2] = type3; + dims4->type[3] = type4; } void destroy_dims(Dims_t* dims) { if(dims == nullptr) return; - delete dims; + free(dims); } diff --git a/tensorrt-sys/trt-sys/TRTDims/TRTDims.h b/tensorrt-sys/trt-sys/TRTDims/TRTDims.h index 2315785..73ed4bd 100644 --- a/tensorrt-sys/trt-sys/TRTDims/TRTDims.h +++ b/tensorrt-sys/trt-sys/TRTDims/TRTDims.h @@ -9,35 +9,34 @@ extern "C" { #endif -struct Dims; +enum DimensionType { + kSPATIAL = 0, + kCHANNEL = 1, + kINDEX = 2, + kSEQUENCE = 3 +}; +typedef enum DimensionType DimensionType_t; + +struct Dims { + int nbDims; + int d[8]; + DimensionType_t type[8]; +}; typedef struct Dims Dims_t; -struct Dims2; -typedef struct Dims2 Dims2_t; -struct Dims3; -typedef struct Dims3 Dims3_t; -struct Dims4; -typedef struct Dims4 Dims4_t; -struct DimsHW; -typedef struct DimsHW DimsHW_t; -struct DimsCHW; -typedef struct DimsCHW DimsCHW_t; -struct DimsNCHW; -typedef struct DimsNCHW DimsNCHW_t; - -Dims_t* create_dims(int nb_dims, const int* d, const int* dimension_types); + +Dims_t* create_dims(int nb_dims, const int* d, const DimensionType_t *dimension_types); Dims_t* create_dims2(int dim1, int dim2); -Dims_t* create_dims3(int dim1, int dim2, int dim3); -Dims_t* create_dims4(int dim1, int dim2, int dim3, int dim4); Dims_t* create_dimsHW(int height, int width); +void dims2_set_dimension_types(Dims_t* dims2, DimensionType_t type1, DimensionType_t type2); +Dims_t* create_dims3(int dim1, int dim2, int dim3); Dims_t* create_dimsCHW(int channel, int height, int width); +void dims3_set_dimension_types(Dims_t* dims3, DimensionType_t type1, DimensionType_t type2, DimensionType_t type3); +Dims_t* create_dims4(int dim1, int dim2, int dim3, int dim4); Dims_t* create_dimsNCHW(int index, int channel, int height, int width); +void dims4_set_dimension_types(Dims_t* dims4, DimensionType_t type1, DimensionType_t type2, DimensionType_t type3, DimensionType_t type4); void destroy_dims(Dims_t* dims); -void dims2_set_dimension_types(Dims_t* dims2, int type1, int type2); -void dims3_set_dimension_types(Dims_t* dims3, int type1, int type2, int type3); -void dims4_set_dimension_types(Dims_t* dims4, int type1, int type2, int type3, int type4); - #ifdef __cplusplus }; diff --git a/tensorrt/src/dims.rs b/tensorrt/src/dims.rs index 38450cd..07eece9 100644 --- a/tensorrt/src/dims.rs +++ b/tensorrt/src/dims.rs @@ -1,6 +1,6 @@ use std::error; use std::fmt::Formatter; -use std::os::raw::c_int; +use std::os::raw::{c_int, c_uint}; use tensorrt_sys::{ create_dims, create_dims2, create_dims3, create_dims4, create_dimsCHW, create_dimsHW, create_dimsNCHW, destroy_dims, dims2_set_dimension_types, dims3_set_dimension_types, @@ -26,14 +26,14 @@ pub struct Dims { impl Dims { pub fn new( num_dims: i32, - dimension_sizes: &mut [i32], - dimension_types: &mut [DimensionType], + dimension_sizes: &mut [i32; 8], + dimension_types: &mut [DimensionType; 8], ) -> Dims { let internal_dims = unsafe { create_dims( num_dims, dimension_sizes.as_mut_ptr() as *mut c_int, - dimension_types.as_mut_ptr() as *mut c_int, + dimension_types.as_ptr() as *const c_uint, ) }; @@ -66,7 +66,7 @@ impl Dims2 { } pub fn set_dimension_types(&self, type1: DimensionType, type2: DimensionType) { - unsafe { dims2_set_dimension_types(self.internal_dims, type1 as i32, type2 as i32) } + unsafe { dims2_set_dimension_types(self.internal_dims, type1 as u32, type2 as u32) } } } @@ -117,7 +117,7 @@ impl Dims3 { type3: DimensionType, ) { unsafe { - dims3_set_dimension_types(self.internal_dims, type1 as i32, type2 as i32, type3 as i32) + dims3_set_dimension_types(self.internal_dims, type1 as u32, type2 as u32, type3 as u32) }; } } @@ -177,10 +177,10 @@ impl Dims4 { unsafe { dims4_set_dimension_types( self.internal_dims, - type1 as i32, - type2 as i32, - type3 as i32, - type4 as i32, + type1 as u32, + type2 as u32, + type3 as u32, + type4 as u32, ) }; } From d43384990d196552da7551eb619fca88538c8f96 Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Mon, 21 Sep 2020 23:03:03 -0700 Subject: [PATCH 07/16] Implement `get_binding_dimension` function for the Engine struct. This allows us to get the dimensions for a specific binding index and provides an avenue for dynamically computing the required data size for that binding. The ssd_uff example is still broken though now further down in the example. The `execute` function fails due to an assert inside the nmsPlugin. This assert fails because we don't have all the outputs bound for our engine. --- tensorrt-sys/src/bindings.rs | 104 +++++++++--------- .../trt-sys/TRTCudaEngine/TRTCudaEngine.cpp | 14 +++ .../trt-sys/TRTCudaEngine/TRTCudaEngine.h | 2 + tensorrt/examples/ssd_uff/main.rs | 15 ++- tensorrt/src/dims.rs | 12 ++ tensorrt/src/engine.rs | 15 ++- 6 files changed, 103 insertions(+), 59 deletions(-) diff --git a/tensorrt-sys/src/bindings.rs b/tensorrt-sys/src/bindings.rs index a9f7dd9..b6c64cc 100644 --- a/tensorrt-sys/src/bindings.rs +++ b/tensorrt-sys/src/bindings.rs @@ -111,55 +111,6 @@ extern "C" { extern "C" { pub fn host_memory_get_size(host_memory: *mut HostMemory_t) -> usize; } -#[repr(C)] -#[derive(Debug, Copy, Clone)] -pub struct Engine { - _unused: [u8; 0], -} -pub type Engine_t = Engine; -extern "C" { - pub fn destroy_cuda_engine(engine: *mut Engine_t); -} -extern "C" { - pub fn engine_create_execution_context(engine: *mut Engine_t) -> *mut Context_t; -} -extern "C" { - pub fn get_nb_bindings(engine: *mut Engine_t) -> ::std::os::raw::c_int; -} -extern "C" { - pub fn get_binding_name( - engine: *mut Engine_t, - binding_index: ::std::os::raw::c_int, - ) -> *const ::std::os::raw::c_char; -} -extern "C" { - pub fn get_binding_index( - engine: *mut Engine_t, - op_name: *const ::std::os::raw::c_char, - ) -> ::std::os::raw::c_int; -} -extern "C" { - pub fn engine_serialize(engine: *mut Engine_t) -> *mut HostMemory_t; -} -#[repr(C)] -#[derive(Debug, Copy, Clone)] -pub struct Runtime { - _unused: [u8; 0], -} -pub type Runtime_t = Runtime; -extern "C" { - pub fn create_infer_runtime(logger: *mut Logger_t) -> *mut Runtime_t; -} -extern "C" { - pub fn deserialize_cuda_engine( - runtime: *mut Runtime_t, - blob: *const ::std::os::raw::c_void, - size: ::std::os::raw::c_ulonglong, - ) -> *mut Engine_t; -} -extern "C" { - pub fn destroy_infer_runtime(runtime: *mut Runtime_t); -} pub const DimensionType_kSPATIAL: DimensionType = 0; pub const DimensionType_kCHANNEL: DimensionType = 1; pub const DimensionType_kINDEX: DimensionType = 2; @@ -287,6 +238,61 @@ extern "C" { } #[repr(C)] #[derive(Debug, Copy, Clone)] +pub struct Engine { + _unused: [u8; 0], +} +pub type Engine_t = Engine; +extern "C" { + pub fn destroy_cuda_engine(engine: *mut Engine_t); +} +extern "C" { + pub fn engine_create_execution_context(engine: *mut Engine_t) -> *mut Context_t; +} +extern "C" { + pub fn get_nb_bindings(engine: *mut Engine_t) -> ::std::os::raw::c_int; +} +extern "C" { + pub fn get_binding_name( + engine: *mut Engine_t, + binding_index: ::std::os::raw::c_int, + ) -> *const ::std::os::raw::c_char; +} +extern "C" { + pub fn get_binding_index( + engine: *mut Engine_t, + op_name: *const ::std::os::raw::c_char, + ) -> ::std::os::raw::c_int; +} +extern "C" { + pub fn get_binding_dimensions( + engine: *mut Engine_t, + binding_index: ::std::os::raw::c_int, + ) -> *mut Dims_t; +} +extern "C" { + pub fn engine_serialize(engine: *mut Engine_t) -> *mut HostMemory_t; +} +#[repr(C)] +#[derive(Debug, Copy, Clone)] +pub struct Runtime { + _unused: [u8; 0], +} +pub type Runtime_t = Runtime; +extern "C" { + pub fn create_infer_runtime(logger: *mut Logger_t) -> *mut Runtime_t; +} +extern "C" { + pub fn deserialize_cuda_engine( + runtime: *mut Runtime_t, + blob: *const ::std::os::raw::c_void, + size: ::std::os::raw::c_ulonglong, + ) -> *mut Engine_t; +} +extern "C" { + pub fn destroy_infer_runtime(runtime: *mut Runtime_t); +} +#[repr(C)] +#[derive(Debug, Copy, Clone)] pub struct Network { _unused: [u8; 0], } diff --git a/tensorrt-sys/trt-sys/TRTCudaEngine/TRTCudaEngine.cpp b/tensorrt-sys/trt-sys/TRTCudaEngine/TRTCudaEngine.cpp index ad19200..c0ff30e 100644 --- a/tensorrt-sys/trt-sys/TRTCudaEngine/TRTCudaEngine.cpp +++ b/tensorrt-sys/trt-sys/TRTCudaEngine/TRTCudaEngine.cpp @@ -2,6 +2,7 @@ // Created by mason on 8/26/19. // #include +#include #include "../TRTHostMemory/TRTHostMemoryInternal.hpp" #include "../TRTContext/TRTContextInternal.hpp" @@ -49,6 +50,19 @@ int get_binding_index(Engine_t* engine, const char* op_name) { return engine->internal_engine->getBindingIndex(op_name); } +Dims_t* get_binding_dimensions(Engine_t *engine, int binding_index) { + if (engine == nullptr) + return nullptr; + + nvinfer1::Dims nvdims = engine->internal_engine->getBindingDimensions(binding_index); + auto dims = static_cast(malloc(sizeof(Dims_t))); + dims->nbDims = nvdims.nbDims; + memcpy(dims->d, nvdims.d, nvinfer1::Dims::MAX_DIMS * sizeof(int)); + memcpy(dims->type, nvdims.type, nvinfer1::Dims::MAX_DIMS * sizeof(int)); + + return dims; +} + Context_t* engine_create_execution_context(Engine_t* engine) { if (engine == nullptr) return nullptr; diff --git a/tensorrt-sys/trt-sys/TRTCudaEngine/TRTCudaEngine.h b/tensorrt-sys/trt-sys/TRTCudaEngine/TRTCudaEngine.h index 0ff5866..f373a3f 100644 --- a/tensorrt-sys/trt-sys/TRTCudaEngine/TRTCudaEngine.h +++ b/tensorrt-sys/trt-sys/TRTCudaEngine/TRTCudaEngine.h @@ -11,6 +11,7 @@ extern "C" { #include "../TRTContext/TRTContext.h" #include "../TRTHostMemory/TRTHostMemory.h" +#include "../TRTDims/TRTDims.h" struct Engine; typedef struct Engine Engine_t; @@ -22,6 +23,7 @@ Context_t* engine_create_execution_context(Engine_t* engine); int get_nb_bindings(Engine_t* engine); const char* get_binding_name(Engine_t* engine, int binding_index); int get_binding_index(Engine_t *engine, const char* op_name); +Dims_t* get_binding_dimensions(Engine_t *engine, int binding_index); HostMemory_t* engine_serialize(Engine_t* engine); diff --git a/tensorrt/examples/ssd_uff/main.rs b/tensorrt/examples/ssd_uff/main.rs index 63efde8..7a65fb5 100644 --- a/tensorrt/examples/ssd_uff/main.rs +++ b/tensorrt/examples/ssd_uff/main.rs @@ -21,15 +21,10 @@ fn create_engine(uff_file: &UffFile) -> Engine { builder.build_cuda_engine() } -//TOOD: Add get dims function to engine that returns all the dims for each binding. -// Figure out sutiable algorithm for figuring out how to calculate the needed space based on the -// dims information provided by the engine. See https://github.com/NVIDIA/TensorRT/blob/release/5.1/samples/common/buffers.h -// for a C++ example. Could think about putting it as a value on the Engine struct itself? fn main() { let uff_file = UffFile::new(Path::new("../assets/sample_ssd_relu6.uff")).unwrap(); let engine = create_engine(&uff_file); println!("Nb outputs: {}", engine.get_nb_bindings()); - // println!("Binding dims: {}", engine.get) let context = engine.create_execution_context(); let input_image = image::open("../assets/images/dog.ppm").unwrap().into_bgr(); @@ -40,6 +35,16 @@ fn main() { println!("NdArray shape transposed: {:?}", transposed.shape()); let pre_processed = Array::from_iter(transposed.iter().map(|&x| 1.0 - (x as f32) / 255.0)); + let binding_dim = engine.get_binding_dimensions(1); + let dim_slice= &binding_dim.d()[0..binding_dim.nb_dims() as usize]; + let vol = dim_slice.iter().fold(1, |acc, x| acc * x); + let mut output = ndarray::Array1::::zeros(vol as usize); + + //TODO: Execution fails because of an incorrect number of output bindings. SSD has 2 outputs and + // we've only bound 1. This causes the nmsPlugin to fail the assertion in enqueue. Line 118. + // Add functionality to bind more output for an engine to fix this issue. + context.execute(&pre_processed, 0, &mut output, 1); + println!("output: {}", output); println!("Done!"); } \ No newline at end of file diff --git a/tensorrt/src/dims.rs b/tensorrt/src/dims.rs index 07eece9..1cd561c 100644 --- a/tensorrt/src/dims.rs +++ b/tensorrt/src/dims.rs @@ -39,6 +39,18 @@ impl Dims { Dims { internal_dims } } + + pub fn nb_dims(&self) -> i32 { + unsafe { + (*self.internal_dims).nbDims + } + } + + pub fn d(&self) -> [i32; 8] { + unsafe { + (*self.internal_dims).d + } + } } impl Drop for Dims { diff --git a/tensorrt/src/engine.rs b/tensorrt/src/engine.rs index 1e35ec3..5e8a64a 100644 --- a/tensorrt/src/engine.rs +++ b/tensorrt/src/engine.rs @@ -1,14 +1,11 @@ use crate::context::Context; use crate::runtime::Runtime; +use crate::dims::Dims; use std::convert::TryInto; use std::ffi::{CStr, CString}; use std::os::raw::c_void; use std::slice; -use tensorrt_sys::{ - deserialize_cuda_engine, destroy_cuda_engine, destroy_host_memory, - engine_create_execution_context, engine_serialize, get_binding_index, get_binding_name, - get_nb_bindings, host_memory_get_data, host_memory_get_size, -}; +use tensorrt_sys::{deserialize_cuda_engine, destroy_cuda_engine, destroy_host_memory, engine_create_execution_context, engine_serialize, get_binding_index, get_binding_name, get_nb_bindings, host_memory_get_data, host_memory_get_size, get_binding_dimensions}; #[derive(Debug)] pub struct Engine { @@ -63,6 +60,14 @@ impl Engine { }; } + pub fn get_binding_dimensions(&self, binding_index: i32) -> Dims { + let raw_dims = unsafe { + get_binding_dimensions(self.internal_engine, binding_index) + }; + + Dims { internal_dims: raw_dims } + } + pub fn create_execution_context(&self) -> Context { let execution_context = unsafe { engine_create_execution_context(self.internal_engine) }; Context { From df6c81d4038e90d9fb7044c3eed094da3b764aea Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Tue, 22 Sep 2020 00:00:16 -0700 Subject: [PATCH 08/16] Testing commits for github 2fa --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index f8d5ca6..fa47369 100644 --- a/README.md +++ b/README.md @@ -3,3 +3,5 @@ Rust Bindings For Nvidia's TensorRT Deep Learning Library. See [tensorrt/README.md](./tensorrt/README.md) for information on the Rust library See [tensorrt-sys/README.md](./tensorrt-sys/README.md) for information on the wrapper library for TensorRT + +Testing commits for github 2fa \ No newline at end of file From f1b7fa68f7fdc3ed6288d112e1d3a062805c301c Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Tue, 22 Sep 2020 00:01:19 -0700 Subject: [PATCH 09/16] Revert "Testing commits for github 2fa" This reverts commit 6af9359a --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index fa47369..f8d5ca6 100644 --- a/README.md +++ b/README.md @@ -3,5 +3,3 @@ Rust Bindings For Nvidia's TensorRT Deep Learning Library. See [tensorrt/README.md](./tensorrt/README.md) for information on the Rust library See [tensorrt-sys/README.md](./tensorrt-sys/README.md) for information on the wrapper library for TensorRT - -Testing commits for github 2fa \ No newline at end of file From 9dc8e1cf93957a5d1ebf775a4de943d50faf7839 Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Tue, 22 Sep 2020 16:59:11 -0700 Subject: [PATCH 10/16] Remove git-lfs from project --- .gitattributes | 4 ---- .gitignore | 3 ++- 2 files changed, 2 insertions(+), 5 deletions(-) delete mode 100644 .gitattributes diff --git a/.gitattributes b/.gitattributes deleted file mode 100644 index 434b972..0000000 --- a/.gitattributes +++ /dev/null @@ -1,4 +0,0 @@ -tensorrt-sys/3rdParty/TensorRT-5.1.5/libnvinfer_plugin_static.a filter=lfs diff=lfs merge=lfs -text -tensorrt-sys/3rdParty/TensorRT-5.1.5/libnvinfer_static.a filter=lfs diff=lfs merge=lfs -text -tensorrt-sys/3rdParty/TensorRT-5.1.5/libnvparsers_static.a filter=lfs diff=lfs merge=lfs -text -assets/* filter=lfs diff=lfs merge=lfs -text diff --git a/.gitignore b/.gitignore index daa4241..6bc398c 100644 --- a/.gitignore +++ b/.gitignore @@ -3,4 +3,5 @@ Cargo.lock **/cmake-build-debug .idea -*.engine \ No newline at end of file +*.engine +assets/ From 2b6e12c235af936e314aa21648ac7c7f02666a52 Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Tue, 22 Sep 2020 16:59:51 -0700 Subject: [PATCH 11/16] Remove assets from git tracking --- tensorrt/assets/images/0.pgm | Bin 797 -> 0 bytes tensorrt/assets/images/1.pgm | Bin 797 -> 0 bytes tensorrt/assets/lenet5.uff | 3 --- 3 files changed, 3 deletions(-) delete mode 100644 tensorrt/assets/images/0.pgm delete mode 100644 tensorrt/assets/images/1.pgm delete mode 100644 tensorrt/assets/lenet5.uff diff --git a/tensorrt/assets/images/0.pgm b/tensorrt/assets/images/0.pgm deleted file mode 100644 index 87cc261e4d8ab93af3634645aa86a17dc658899f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 797 zcmWGAGBxG;Kd|7}1YrgX>`r)C!epr^4bK5I$?smm`=LT9d(q^|1^2*2O0K|IVERuv=OLKD7c&?OLN_y|zy%)Y z!I>b&4?E|daDmnUI1|K(kh+B6tIk2Nfh_Lj2<~T*6$sA%|4$^Iz_~Y!qu^{1!(kqr zJ3*Q0I-CP!>}UQ8;~wOeU-J*f0nvMypmN`<1=*$`%OK=#7%-{KK$U{%`|^3A3{%v7 pG%285LP`o36O(8qx(vun5a3^U3sdUGBxG;KY(C1BW}yJnQ+TR;+EUS!t@@O#`9cEb8*T27h$xd z_!gJsE+&yDxa6)g$-KfX$9Mym+yj0FoO1s&8C!Ab`#+a43a8u}Mlqan|MAH&FmA-D Wk&%f!IYB)7)(PPZY@F_(o&*4zu;l0f diff --git a/tensorrt/assets/lenet5.uff b/tensorrt/assets/lenet5.uff deleted file mode 100644 index 0557df6..0000000 --- a/tensorrt/assets/lenet5.uff +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f11e2a6a531d8b9c16eb07c752df809de9c4606f4c227be8bce472f40482c416 -size 1726431 From 413da970ad2dbbd1f39673a58bb2ee02e2db1c6c Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Tue, 22 Sep 2020 19:43:04 -0700 Subject: [PATCH 12/16] Add README.md to examples directory The examples README explains a bit about each of the plugins, what they do, and what functionality they demonstrate. --- tensorrt/examples/README.md | 51 +++++++++++++++++++++++++++++++++++++ 1 file changed, 51 insertions(+) create mode 100644 tensorrt/examples/README.md diff --git a/tensorrt/examples/README.md b/tensorrt/examples/README.md new file mode 100644 index 0000000..aa51495 --- /dev/null +++ b/tensorrt/examples/README.md @@ -0,0 +1,51 @@ +# Examples + +This directory contains example applications for using the TensorRT-rs library. These are small examples that demonstrate +basic usage of the library and associated data types to run model inference using TensorRT. Examples are named for the +model used as well as the file format output from the training framework (uff or onnx). All sample data and models ship +with the TensorRT library install from nvidia. + +These examples are adapted from the C++ examples that are provided with TensorRT. The logic is not a 1 for 1 port but the +basic model inference idea is the same. + +More examples are always welcome. Please feel free to open a PR with a new example if you feel that one is missing from +the list here. + +## Getting Started + +All examples expect models and input data to be available in the `assets` subfolder that resides in the top level +directory. This folder is not tracked by git and will need to be crated and populated on your machine. + +Models and input data are shipped with TensorRT and should be copied into the assets folder. Models live at the top level +and images live in the images sub-folder. + +If you installed TensorRT via the .deb archive on Linux these assets can be found in `/usr/src/tensorrt/data`. In this +folder each of the assets will be split by specific example sub-folder (mnist, ssd, etc). + +## mnist_uff +This example uses the MNIST digit dataset and classifies images of hand drawn digits. The output is 10 entries representing +the numbers 0..9 and will have an associated floating point value that indicates what digit the model identified. + +For more information about this example see: +[TensorRT MNIST Sample](https://github.com/mstallmo/TensorRT/tree/master/samples/opensource/sampleUffMNIST) + +### Run +```shell script +$ cargo run --example mnist_uff +``` + +## ssd_uff +This example uses the Single Shot MultiBox Detector to perform object detection in images. The output of the model will +be the bounding box data and confidence scores. This plugin takes advantage of the TensorRT plugins provided by nvidia, +specifically the NMS (non-max suppression) plugin. + +To properly map the operations in the UFF graph to the appropriate TensorRT plugin there is a small preprocessing step +that needs to be done to the model before it can be loaded by TensorRT in the example. The details can be found in the +[TensorRT SSD Sample](https://github.com/mstallmo/TensorRT/tree/master/samples/opensource/sampleUffSSD#sampleuffssd-plugins) + +The result of this pre-processing should be placed into the `assets` in the top level directory. + +### Run +```shell script +$ cargo run --example ssd_uff +``` \ No newline at end of file From 61d4c9b0ee80a5a5f6048076f40e4f61f7a0d908 Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Tue, 22 Sep 2020 23:33:20 -0700 Subject: [PATCH 13/16] Implement multiple output bindings for `execute` TensorRT engines may have more than one output binding that needs to be populated. This change takes in outputs in a Vec of mutable references and populates them in order that the outputs appear in the model. To make things a bit more compact we put all of the bindings (input and output) into one vector assuming that the first element will always be the input binding and all others will be the output binding. --- tensorrt-sys/src/bindings.rs | 9 ++--- .../trt-sys/TRTContext/TRTContext.cpp | 35 +++++++++++-------- tensorrt-sys/trt-sys/TRTContext/TRTContext.h | 2 +- tensorrt/examples/mnist_uff/main.rs | 5 +-- tensorrt/src/context.rs | 26 +++++++++----- 5 files changed, 44 insertions(+), 33 deletions(-) diff --git a/tensorrt-sys/src/bindings.rs b/tensorrt-sys/src/bindings.rs index b6c64cc..7454584 100644 --- a/tensorrt-sys/src/bindings.rs +++ b/tensorrt-sys/src/bindings.rs @@ -88,12 +88,9 @@ extern "C" { extern "C" { pub fn execute( execution_context: *const Context_t, - input_data: *const f32, - input_data_size: usize, - input_index: ::std::os::raw::c_uint, - output_data: *mut f32, - output_size: usize, - output_index: ::std::os::raw::c_uint, + binding_data: *mut *const f32, + num_bindings: ::std::os::raw::c_int, + data_sizes: *const usize, ); } #[repr(C)] diff --git a/tensorrt-sys/trt-sys/TRTContext/TRTContext.cpp b/tensorrt-sys/trt-sys/TRTContext/TRTContext.cpp index 81ccce7..b9ae99c 100644 --- a/tensorrt-sys/trt-sys/TRTContext/TRTContext.cpp +++ b/tensorrt-sys/trt-sys/TRTContext/TRTContext.cpp @@ -1,6 +1,7 @@ // // Created by mason on 9/17/19. // +#include #include #include #include "NvInfer.h" @@ -11,50 +12,54 @@ struct Context { using IExecutionContextPtr = std::unique_ptr>; IExecutionContextPtr internal_context; - explicit Context(nvinfer1::IExecutionContext* executionContext) { + explicit Context(nvinfer1::IExecutionContext *executionContext) { internal_context = IExecutionContextPtr(executionContext); } }; -Context_t* create_execution_context(nvinfer1::IExecutionContext* execution_context) { +Context_t *create_execution_context(nvinfer1::IExecutionContext *execution_context) { return new Context(execution_context); } -void destroy_excecution_context (Context_t* execution_context) { +void destroy_excecution_context(Context_t *execution_context) { if (execution_context == nullptr) return; delete execution_context; } -void context_set_name(Context_t *execution_context, const char * name) { +void context_set_name(Context_t *execution_context, const char *name) { if (execution_context == nullptr) return; execution_context->internal_context->setName(name); } -const char* context_get_name(Context_t *execution_context) { +const char *context_get_name(Context_t *execution_context) { if (execution_context == nullptr) return ""; return execution_context->internal_context->getName(); } - void execute(const Context_t* execution_context, const float* input_data, const size_t input_data_size, const unsigned int input_index, float* output_data, const size_t output_size, const unsigned int output_index) { +void execute(const Context_t *execution_context, const float **binding_data, const int num_bindings, + const size_t *data_sizes) { if (execution_context == nullptr) return; - auto& context = execution_context->internal_context; - void* buffers[2]; - cudaMalloc(&buffers[0], input_data_size); - cudaMalloc(&buffers[1], output_size); + auto &context = execution_context->internal_context; + int nbBindings = context->getEngine().getNbBindings(); + void *buffers[nbBindings]; + for (int i = 0; i < nbBindings; ++i) { + cudaMalloc(&buffers[i], data_sizes[i]); + } - cudaMemcpy(buffers[input_index], input_data, input_data_size, cudaMemcpyHostToDevice); - context->execute(1, &buffers[input_index]); - cudaMemcpy(output_data, buffers[output_index], output_size, cudaMemcpyDeviceToHost); + cudaMemcpy(buffers[0], binding_data[0], data_sizes[0], cudaMemcpyHostToDevice); + context->execute(1, &buffers[0]); - cudaFree(&buffers[0]); - cudaFree(&buffers[1]); + for (int i = 1; i < num_bindings; ++i) { + cudaMemcpy((void *)binding_data[i], buffers[i], data_sizes[i], cudaMemcpyDeviceToHost); + cudaFree(buffers[i]); + } } \ No newline at end of file diff --git a/tensorrt-sys/trt-sys/TRTContext/TRTContext.h b/tensorrt-sys/trt-sys/TRTContext/TRTContext.h index 1278d10..7d63af7 100644 --- a/tensorrt-sys/trt-sys/TRTContext/TRTContext.h +++ b/tensorrt-sys/trt-sys/TRTContext/TRTContext.h @@ -21,7 +21,7 @@ void destroy_excecution_context(Context_t* execution_context); void context_set_name(Context_t* execution_context, const char *name); const char* context_get_name(Context_t *execution_context); -void execute(const Context_t* execution_context, const float* input_data, const size_t input_data_size, const unsigned int input_index, float* output_data, const size_t output_size, const unsigned int output_index); +void execute(const Context_t* execution_context, const float** binding_data, const int num_bindings, const size_t* data_sizes); #ifdef __cplusplus }; diff --git a/tensorrt/examples/mnist_uff/main.rs b/tensorrt/examples/mnist_uff/main.rs index d0224da..d91f08d 100644 --- a/tensorrt/examples/mnist_uff/main.rs +++ b/tensorrt/examples/mnist_uff/main.rs @@ -41,6 +41,7 @@ fn main() { // Run inference let mut output = ndarray::Array1::::zeros(10); - context.execute(&pre_processed, 0, &mut output, 1); - println!("output: {}", output); + let outputs = vec![&mut output]; + context.execute(&pre_processed, &outputs, 2); + println!("output: {}", outputs[0]); } diff --git a/tensorrt/src/context.rs b/tensorrt/src/context.rs index e49c779..efd83e7 100644 --- a/tensorrt/src/context.rs +++ b/tensorrt/src/context.rs @@ -2,6 +2,7 @@ use ndarray; use ndarray::Dimension; use std::ffi::{CStr, CString}; use std::mem::size_of; +use std::vec::Vec; use tensorrt_sys::{ context_get_name, context_set_name, destroy_excecution_context, execute, Context_t, }; @@ -32,21 +33,28 @@ impl<'a> Context<'a> { pub fn execute( &self, input_data: &ndarray::Array, - input_binding_index: u32, - output_data: &mut ndarray::Array, - output_binding_index: u32, + output_data: &Vec<&mut ndarray::Array>, + num_bindings: i32, ) { + let mut binding_data = vec![(&input_data).as_ptr()]; + for data in output_data { + binding_data.push((&data).as_ptr()); + } + + let mut data_sizes = vec![input_data.len() * size_of::()]; + for data in output_data { + data_sizes.push(data.len() * size_of::()); + } + unsafe { execute( self.internal_context, - input_data.as_ptr(), - input_data.len() * size_of::(), - input_binding_index, - output_data.as_mut_ptr(), - output_data.len() * size_of::(), - output_binding_index, + binding_data.as_mut_ptr(), + num_bindings, + data_sizes.as_ptr(), ); }; + } } From f0b5cf68a9fe2400f6e0a4ee76f6a8559f3e426f Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Wed, 23 Sep 2020 00:03:27 -0700 Subject: [PATCH 14/16] Refactor ssd_uff example to use the new multi-output binding functionality. ssd_uff example compiles and runs the model correctly. The output still looks a bit weird. This could be due to datatype mis-match compared to the C++ example. We need to review the C++ example more closely before deciding how to fix this issue. --- tensorrt/examples/ssd_uff/main.rs | 28 ++++++++++++++++++---------- 1 file changed, 18 insertions(+), 10 deletions(-) diff --git a/tensorrt/examples/ssd_uff/main.rs b/tensorrt/examples/ssd_uff/main.rs index 7a65fb5..712aacc 100644 --- a/tensorrt/examples/ssd_uff/main.rs +++ b/tensorrt/examples/ssd_uff/main.rs @@ -15,7 +15,7 @@ fn create_engine(uff_file: &UffFile) -> Engine { let uff_parser = UffParser::new(); let dim = DimsCHW::new(3, 300, 300); uff_parser.register_input("Input", dim, UffInputOrder::Nchw).unwrap(); - uff_parser.register_output("NMS").unwrap(); + uff_parser.register_output("MarkOutput_0").unwrap(); uff_parser.parse(uff_file, builder.get_network()).unwrap(); builder.build_cuda_engine() @@ -36,15 +36,23 @@ fn main() { let pre_processed = Array::from_iter(transposed.iter().map(|&x| 1.0 - (x as f32) / 255.0)); let binding_dim = engine.get_binding_dimensions(1); - let dim_slice= &binding_dim.d()[0..binding_dim.nb_dims() as usize]; - let vol = dim_slice.iter().fold(1, |acc, x| acc * x); - let mut output = ndarray::Array1::::zeros(vol as usize); - - //TODO: Execution fails because of an incorrect number of output bindings. SSD has 2 outputs and - // we've only bound 1. This causes the nmsPlugin to fail the assertion in enqueue. Line 118. - // Add functionality to bind more output for an engine to fix this issue. - context.execute(&pre_processed, 0, &mut output, 1); - println!("output: {}", output); + let dim_slice = &binding_dim.d()[0..binding_dim.nb_dims() as usize]; + let vol = dim_slice.iter().fold(1, |acc, x| acc * x) as usize; + let mut top_detections = ndarray::Array1::::zeros(vol); + + let binding_dim = engine.get_binding_dimensions(2); + let dim_slice = &binding_dim.d()[0..binding_dim.nb_dims() as usize]; + let vol = dim_slice.iter().fold(1, |acc, x| acc * x) as usize; + let mut keep_count = ndarray::Array1::::zeros(vol); + + + //TODO: This is almost correct but the returned data looks slightly off. + // keep_count should be an i32 instead of f32 and top detection's size doesn't look quite right. + // Reference sampleUff.cpp file directly after the `Run Inference` comment. + let outputs = vec![&mut top_detections, &mut keep_count]; + context.execute(&pre_processed, &outputs, 3); + println!("topDetections: {}", outputs[0]); + println!("keepCount: {}", outputs[1]); println!("Done!"); } \ No newline at end of file From ae5cf6979126819e15f81d32faa5f5a200bb4f3c Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Fri, 25 Sep 2020 01:12:51 -0700 Subject: [PATCH 15/16] Complete SSD UFF sample implementation as library example. Output of the example is saved as test.jpg and corresponds to the exact same bounding boxes that are detected with the same model in the sampleUffSSD C++ implementation. --- .../TensorRT-5.1.5/libnvinfer_plugin_static.a | Bin 132 -> 2636966 bytes .../TensorRT-5.1.5/libnvinfer_static.a | 3 - .../TensorRT-5.1.5/libnvparsers_static.a | 3 - tensorrt-sys/src/bindings.rs | 2 +- .../trt-sys/TRTContext/TRTContext.cpp | 2 +- tensorrt-sys/trt-sys/TRTContext/TRTContext.h | 2 +- tensorrt/Cargo.toml | 1 + tensorrt/examples/ssd_uff/main.rs | 82 +++++++++++++----- tensorrt/src/context.rs | 52 +++++++++-- 9 files changed, 107 insertions(+), 40 deletions(-) delete mode 100644 tensorrt-sys/3rdParty/TensorRT-5.1.5/libnvinfer_static.a delete mode 100644 tensorrt-sys/3rdParty/TensorRT-5.1.5/libnvparsers_static.a diff --git a/tensorrt-sys/3rdParty/TensorRT-5.1.5/libnvinfer_plugin_static.a b/tensorrt-sys/3rdParty/TensorRT-5.1.5/libnvinfer_plugin_static.a index 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int num_bindings, const size_t *data_sizes) { if (execution_context == nullptr) return; diff --git a/tensorrt-sys/trt-sys/TRTContext/TRTContext.h b/tensorrt-sys/trt-sys/TRTContext/TRTContext.h index 7d63af7..22aef84 100644 --- a/tensorrt-sys/trt-sys/TRTContext/TRTContext.h +++ b/tensorrt-sys/trt-sys/TRTContext/TRTContext.h @@ -21,7 +21,7 @@ void destroy_excecution_context(Context_t* execution_context); void context_set_name(Context_t* execution_context, const char *name); const char* context_get_name(Context_t *execution_context); -void execute(const Context_t* execution_context, const float** binding_data, const int num_bindings, const size_t* data_sizes); +void execute(const Context_t* execution_context, const void** binding_data, const int num_bindings, const size_t* data_sizes); #ifdef __cplusplus }; diff --git a/tensorrt/Cargo.toml b/tensorrt/Cargo.toml index b792880..fe0436a 100644 --- a/tensorrt/Cargo.toml +++ b/tensorrt/Cargo.toml @@ -15,6 +15,7 @@ tensorrt-sys = {version = "0.2", path="../tensorrt-sys"} ndarray = "0.13.1" ndarray-image = "0.2.1" image = "0.23.9" +imageproc = "0.21.0" [dev-dependencies] lazy_static = "1.4.0" \ No newline at end of file diff --git a/tensorrt/examples/ssd_uff/main.rs b/tensorrt/examples/ssd_uff/main.rs index 712aacc..760fde3 100644 --- a/tensorrt/examples/ssd_uff/main.rs +++ b/tensorrt/examples/ssd_uff/main.rs @@ -1,12 +1,14 @@ -use ndarray_image; -use ndarray::Array; +use ndarray::{Array, Array1, Array3}; use std::path::Path; use std::iter::FromIterator; use tensorrt_rs::runtime::Logger; use tensorrt_rs::builder::Builder; use tensorrt_rs::engine::Engine; +use tensorrt_rs::context::ExecuteInput; use tensorrt_rs::uff::{UffInputOrder, UffParser, UffFile}; use tensorrt_rs::dims::DimsCHW; +use imageproc::rect::Rect; +use image::RgbImage; fn create_engine(uff_file: &UffFile) -> Engine { let logger = Logger::new(); @@ -15,44 +17,78 @@ fn create_engine(uff_file: &UffFile) -> Engine { let uff_parser = UffParser::new(); let dim = DimsCHW::new(3, 300, 300); uff_parser.register_input("Input", dim, UffInputOrder::Nchw).unwrap(); - uff_parser.register_output("MarkOutput_0").unwrap(); + uff_parser.register_output("NMS").unwrap(); uff_parser.parse(uff_file, builder.get_network()).unwrap(); builder.build_cuda_engine() } -fn main() { - let uff_file = UffFile::new(Path::new("../assets/sample_ssd_relu6.uff")).unwrap(); - let engine = create_engine(&uff_file); - println!("Nb outputs: {}", engine.get_nb_bindings()); +//Input formatting logic comes directly from the C++ code in the sampleUffSSD.cpp. +//https://github.com/NVIDIA/TensorRT/blob/release/5.1/samples/opensource/sampleUffSSD/sampleUffSSD.cpp +fn process_input(image: &RgbImage) -> Array1:: { + let mut base_array = Array3::::zeros((3, image.height() as usize, image.width() as usize)); + for c in 0..3 { + for j in 0..(image.height() * image.width()) as usize { + base_array.as_slice_mut().unwrap()[c * (300 * 300) + j] = (2.0 / 255.0) * (image.as_flat_samples().as_slice()[j * 3 + c] as f32) - 1.0; + } + } + Array::from_iter(base_array.iter().cloned()) +} +fn infer(engine: &Engine, input: &Array1::) -> (ndarray::Array1::, ndarray::Array1::) { let context = engine.create_execution_context(); - let input_image = image::open("../assets/images/dog.ppm").unwrap().into_bgr(); - - let array: ndarray_image::NdColor = ndarray_image::NdImage(&input_image).into(); - println!("NdArray shape: {:?}", array.shape()); - let transposed = array.t(); - println!("NdArray shape transposed: {:?}", transposed.shape()); - let pre_processed = Array::from_iter(transposed.iter().map(|&x| 1.0 - (x as f32) / 255.0)); let binding_dim = engine.get_binding_dimensions(1); let dim_slice = &binding_dim.d()[0..binding_dim.nb_dims() as usize]; let vol = dim_slice.iter().fold(1, |acc, x| acc * x) as usize; - let mut top_detections = ndarray::Array1::::zeros(vol); + let mut top_detections = Array1::::zeros(vol); let binding_dim = engine.get_binding_dimensions(2); let dim_slice = &binding_dim.d()[0..binding_dim.nb_dims() as usize]; let vol = dim_slice.iter().fold(1, |acc, x| acc * x) as usize; - let mut keep_count = ndarray::Array1::::zeros(vol); + let mut keep_count = Array1::::zeros(vol); + + let outputs = vec![ExecuteInput::Float(&mut top_detections), ExecuteInput::Integer(&mut keep_count)]; + let execute_input = ExecuteInput::Float(&input); + context.execute(execute_input, outputs, 3); + + (top_detections, keep_count) +} + +fn verify_output(image: &mut RgbImage, top_detections: &Array1::, keep_count: &Array1::) { + for i in 0..keep_count[0] as usize { + let det_base_index = i * 7; + + if top_detections[det_base_index + 2] > 0.5 { + let min_x = top_detections[det_base_index + 3] * image.width() as f32; + let min_y = top_detections[det_base_index + 4] * image.height() as f32; + let max_x = top_detections[det_base_index + 5] * image.width() as f32; + let max_y = top_detections[det_base_index + 6] * image.height() as f32; + + let rect = Rect::at((min_x) as i32, (min_y) as i32) + .of_size((max_x) as u32 - (min_x) as u32, + (max_y) as u32 - (min_y) as u32); + + imageproc::drawing::draw_hollow_rect_mut(image, rect, image::Rgb([255u8, 0u8, 0u8])); + + let confidence_string = format!("confidence {}", top_detections[2] * 100.0); + let coordinates_string = format!("coordinates ({}, {}), ({}, {})", min_x, min_y, max_x, max_y); + println!("Detected dog in the image with {} and {}", confidence_string, coordinates_string); + } + } + + image.save("test.jpg").unwrap(); +} + +fn main() { + let uff_file = UffFile::new(Path::new("../assets/sample_ssd_relu6.uff")).unwrap(); + let engine = create_engine(&uff_file); + let mut input_image = image::open("../assets/images/dog.ppm").unwrap().into_rgb(); + let input_buffer = process_input(&input_image); - //TODO: This is almost correct but the returned data looks slightly off. - // keep_count should be an i32 instead of f32 and top detection's size doesn't look quite right. - // Reference sampleUff.cpp file directly after the `Run Inference` comment. - let outputs = vec![&mut top_detections, &mut keep_count]; - context.execute(&pre_processed, &outputs, 3); - println!("topDetections: {}", outputs[0]); - println!("keepCount: {}", outputs[1]); + let (top_detections, keep_count) = infer(&engine, &input_buffer); + verify_output(&mut input_image, &top_detections, &keep_count); println!("Done!"); } \ No newline at end of file diff --git a/tensorrt/src/context.rs b/tensorrt/src/context.rs index efd83e7..a8744f9 100644 --- a/tensorrt/src/context.rs +++ b/tensorrt/src/context.rs @@ -6,6 +6,12 @@ use std::vec::Vec; use tensorrt_sys::{ context_get_name, context_set_name, destroy_excecution_context, execute, Context_t, }; +use std::os::raw::c_void; + +pub enum ExecuteInput<'a, D: Dimension> { + Integer(&'a ndarray::Array), + Float(&'a ndarray::Array) +} pub struct Context<'a> { pub(crate) internal_context: *mut Context_t, @@ -32,18 +38,48 @@ impl<'a> Context<'a> { pub fn execute( &self, - input_data: &ndarray::Array, - output_data: &Vec<&mut ndarray::Array>, + input_data: ExecuteInput, + output_data: Vec>, num_bindings: i32, ) { - let mut binding_data = vec![(&input_data).as_ptr()]; - for data in output_data { - binding_data.push((&data).as_ptr()); + let mut binding_data = match input_data { + ExecuteInput::Integer(val) => { + vec![val.as_ptr() as *const c_void] + }, + ExecuteInput::Float(val) => { + vec![val.as_ptr() as *const c_void] + } + }; + + for data in &output_data { + match data { + ExecuteInput::Integer(val) => { + binding_data.push(val.as_ptr() as *const c_void); + }, + ExecuteInput::Float(val) => { + binding_data.push(val.as_ptr() as *const c_void); + } + } } - let mut data_sizes = vec![input_data.len() * size_of::()]; - for data in output_data { - data_sizes.push(data.len() * size_of::()); + let mut data_sizes = match input_data { + ExecuteInput::Integer(val) => { + vec![val.len() * size_of::()] + }, + ExecuteInput::Float(val) => { + vec![val.len() * size_of::()] + } + }; + + for data in &output_data { + match data { + ExecuteInput::Integer(val) => { + data_sizes.push(val.len() * size_of::()); + }, + ExecuteInput::Float(val) => { + data_sizes.push(val.len() * size_of::()); + } + } } unsafe { From 4ab2014c06f0a031927e5709543d776b2aebfc10 Mon Sep 17 00:00:00 2001 From: Mason Stallmo Date: Fri, 25 Sep 2020 21:20:11 -0700 Subject: [PATCH 16/16] Bump version of tensorrt-rs and tensorrt-sys Release version 0.3.0 Includes support for loading the built in TensorRT plugins during uff model parsing. Added the ability to have more than one output buffer when executing the model. Added Uff SSD example --- tensorrt-sys/Cargo.toml | 2 +- tensorrt/Cargo.toml | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/tensorrt-sys/Cargo.toml b/tensorrt-sys/Cargo.toml index dc49fcb..48406bb 100644 --- a/tensorrt-sys/Cargo.toml +++ b/tensorrt-sys/Cargo.toml @@ -1,6 +1,6 @@ [package] name = "tensorrt-sys" -version = "0.2.1" +version = "0.3.0" authors = ["Mason Stallmo "] license = "MIT" edition = "2018" diff --git a/tensorrt/Cargo.toml b/tensorrt/Cargo.toml index fe0436a..fc4074b 100644 --- a/tensorrt/Cargo.toml +++ b/tensorrt/Cargo.toml @@ -1,6 +1,6 @@ [package] name = "tensorrt-rs" -version = "0.2.1" +version = "0.3.0" authors = ["Mason Stallmo "] license = "MIT" repository = "https://github.com/mstallmo/tensorrt-rs" @@ -10,8 +10,8 @@ description = "Rust library for using Nvidia's TensorRT deep learning accelerati [dependencies] # Uncomment when working locally -tensorrt-sys = {version = "0.2", path="../tensorrt-sys"} -#tensorrt-sys = "0.2.1" +#tensorrt-sys = {version = "0.2", path="../tensorrt-sys"} +tensorrt-sys = "0.3.0" ndarray = "0.13.1" ndarray-image = "0.2.1" image = "0.23.9"

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