rustnn · theHamsta · Jul 30, 2026 · Jul 30, 2026
diff --git a/trtx/src/builder.rs b/trtx/src/builder.rs
@@ -1,6 +1,6 @@
 //! Builder for creating TensorRT engines.
 //!
-//! Wraps [`trtx_sys::nvinfer1::IBuilder`]; C++: [`nvinfer1::IBuilder`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_builder.html).
+//! Wraps [`trtx_sys::nvinfer1::IBuilder`]; C++: [`nvinfer1::IBuilder`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_builder.html).
 
 use crate::error::{Error, Result};
 use crate::host_memory::HostMemory;
@@ -30,7 +30,7 @@ pub use trtx_sys::{
 
 /// Builder for creating TensorRT engines
 ///
-/// [`trtx_sys::nvinfer1::IBuilder`] — C++ [`nvinfer1::IBuilder`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_builder.html).
+/// [`trtx_sys::nvinfer1::IBuilder`] — C++ [`nvinfer1::IBuilder`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_builder.html).
 pub struct Builder<'a> {
     inner: UniquePtr<IBuilder>,
     _logger: PhantomData<&'a Logger>,

diff --git a/trtx/src/builder_config.rs b/trtx/src/builder_config.rs
@@ -1,6 +1,6 @@
 //! Builder configuration for TensorRT engine builds.
 //!
-//! Wraps [`trtx_sys::nvinfer1::IBuilderConfig`]; C++: [`nvinfer1::IBuilderConfig`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_builder_config.html).
+//! Wraps [`trtx_sys::nvinfer1::IBuilderConfig`]; C++: [`nvinfer1::IBuilderConfig`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_builder_config.html).
 
 use std::marker::PhantomData;
 use std::pin::Pin;
@@ -22,7 +22,7 @@ use trtx_sys::{
 #[cfg(not(feature = "enterprise"))]
 use trtx_sys::ComputeCapability;
 
-/// [`trtx_sys::nvinfer1::IBuilderConfig`] — C++ [`nvinfer1::IBuilderConfig`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_builder_config.html).
+/// [`trtx_sys::nvinfer1::IBuilderConfig`] — C++ [`nvinfer1::IBuilderConfig`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_builder_config.html).
 pub struct BuilderConfig<'builder> {
     pub(crate) inner: UniquePtr<IBuilderConfig>,
     progress_monitor: Option<Pin<Box<ProgressMonitor>>>,

diff --git a/trtx/src/cuda_engine.rs b/trtx/src/cuda_engine.rs
@@ -1,7 +1,7 @@
 //! CUDA engine and serialization config.
 //!
-//! [`CudaEngine`] wraps [`nvinfer1::ICudaEngine`] (C++ [`nvinfer1::ICudaEngine`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_cuda_engine.html)).
-//! [`SerializationConfig`] wraps [`nvinfer1::ISerializationConfig`] (C++ [`nvinfer1::ISerializationConfig`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_serialization_config.html)).
+//! [`CudaEngine`] wraps [`nvinfer1::ICudaEngine`] (C++ [`nvinfer1::ICudaEngine`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_cuda_engine.html)).
+//! [`SerializationConfig`] wraps [`nvinfer1::ISerializationConfig`] (C++ [`nvinfer1::ISerializationConfig`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_serialization_config.html)).
 
 use std::rc::Rc;
 #[cfg(all(feature = "v_1_6", not(feature = "enterprise")))]
@@ -22,7 +22,7 @@ use trtx_sys::{
 };
 use trtx_sys::{TensorFormat, TensorLocation};
 
-/// [`nvinfer1::ISerializationConfig`] — C++ [`nvinfer1::ISerializationConfig`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_serialization_config.html).
+/// [`nvinfer1::ISerializationConfig`] — C++ [`nvinfer1::ISerializationConfig`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_serialization_config.html).
 pub struct SerializationConfig<'cuda_engine> {
     inner: UniquePtr<nvinfer1::ISerializationConfig>,
     _runtime: PhantomData<&'cuda_engine nvinfer1::ICudaEngine>,
@@ -76,7 +76,7 @@ impl SerializationConfig<'_> {
     }
 }
 
-/// [nvinfer1::ICudaEngine] — C++ [`nvinfer1::ICudaEngine`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_cuda_engine.html).
+/// [nvinfer1::ICudaEngine] — C++ [`nvinfer1::ICudaEngine`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_cuda_engine.html).
 pub struct CudaEngine<'runtime> {
     pub(crate) inner: UniquePtr<ICudaEngine>,
     _runtime: PhantomData<&'runtime nvinfer1::IRuntime>,

diff --git a/trtx/src/engine_inspector.rs b/trtx/src/engine_inspector.rs
@@ -1,14 +1,14 @@
 //! Engine inspector (layer / engine introspection as text or JSON).
 //!
-//! [`EngineInspector`] wraps [`trtx_sys::nvinfer1::IEngineInspector`] (C++ [`nvinfer1::IEngineInspector`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_engine_inspector.html)).
+//! [`EngineInspector`] wraps [`trtx_sys::nvinfer1::IEngineInspector`] (C++ [`nvinfer1::IEngineInspector`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_engine_inspector.html)).
 
 use crate::{Error, Result};
 use std::{ffi::CStr, marker::PhantomData};
 
 use autocxx::cxx::UniquePtr;
 use trtx_sys::{nvinfer1, LayerInformationFormat};
 
-/// [`trtx_sys::nvinfer1::IEngineInspector`] — C++ [`nvinfer1::IEngineInspector`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_engine_inspector.html).
+/// [`trtx_sys::nvinfer1::IEngineInspector`] — C++ [`nvinfer1::IEngineInspector`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_engine_inspector.html).
 pub struct EngineInspector<'engine> {
     pub(crate) inner: UniquePtr<nvinfer1::IEngineInspector>,
     pub(crate) _engine: PhantomData<&'engine nvinfer1::ICudaEngine>,

diff --git a/trtx/src/execution_context.rs b/trtx/src/execution_context.rs
@@ -13,7 +13,7 @@ use crate::interfaces::{
 };
 use crate::RuntimeConfig;
 
-/// [`trtx_sys::nvinfer1::IExecutionContext`] — C++ [`nvinfer1::IExecutionContext`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_execution_context.html).
+/// [`trtx_sys::nvinfer1::IExecutionContext`] — C++ [`nvinfer1::IExecutionContext`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_execution_context.html).
 ///
 /// `inner` is declared last so it is dropped first (see [`Drop`]): TensorRT must release
 /// [DebugListener] / [Profiler]

diff --git a/trtx/src/executor.rs b/trtx/src/executor.rs
@@ -3,7 +3,7 @@
 //! This module orchestrates [`crate::Builder`], [`crate::OnnxParser`], [`crate::Runtime`], and
 //! [`crate::CudaEngine`], which wrap [`trtx_sys::nvinfer1::IBuilder`], [`trtx_sys::nvonnxparser::IParser`],
 //! [`trtx_sys::nvinfer1::IRuntime`], and [`trtx_sys::nvinfer1::ICudaEngine`]. See the
-//! [TensorRT for RTX C++ API](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/annotated.html).
+//! [TensorRT for RTX C++ API](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/annotated.html).
 
 use crate::builder::network_flags;
 use crate::error::Result;

diff --git a/trtx/src/host_memory.rs b/trtx/src/host_memory.rs
@@ -1,6 +1,6 @@
 //! Host memory buffer returned by the TensorRT builder (serialized engines, etc.).
 //!
-//! [`HostMemory`] wraps [`trtx_sys::nvinfer1::IHostMemory`] (C++ [`nvinfer1::IHostMemory`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_host_memory.html)).
+//! [`HostMemory`] wraps [`trtx_sys::nvinfer1::IHostMemory`] (C++ [`nvinfer1::IHostMemory`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_host_memory.html)).
 
 use core::slice;
 use cxx::UniquePtr;
@@ -9,7 +9,7 @@ use std::ops::Deref;
 use trtx_sys::nvinfer1::{self};
 use trtx_sys::DataType;
 
-/// [`trtx_sys::nvinfer1::IHostMemory`] — C++ [`nvinfer1::IHostMemory`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_host_memory.html).
+/// [`trtx_sys::nvinfer1::IHostMemory`] — C++ [`nvinfer1::IHostMemory`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1_i_host_memory.html).
 pub struct HostMemory<'builder> {
     pub(crate) inner: UniquePtr<nvinfer1::IHostMemory>,
     _builder: PhantomData<&'builder nvinfer1::IBuilder>,

diff --git a/trtx/src/interfaces.rs b/trtx/src/interfaces.rs
@@ -1,7 +1,7 @@
 //! Rust implementations of TensorRT callback / allocator interfaces (bridged to C++).
 //!
 //! Versioned runtime interfaces live under `nvinfer1::v_1_0` in C++; see the
-//! [annotated class list](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/annotated.html).
+//! [annotated class list](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/annotated.html).
 
 use crate::{Error, Result};
 use cxx::UniquePtr;
@@ -14,15 +14,15 @@ use trtx_sys::{
 };
 use trtx_sys::{DataType, Dims64, ErrorCode, SeekPosition, TensorLocation};
 
-/// Rust trait implemented by [`ProgressMonitor`] for [`trtx_sys::nvinfer1::IProgressMonitor`]; C++ [`nvinfer1::v_1_0::IProgressMonitor`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_progress_monitor.html).
+/// Rust trait implemented by [`ProgressMonitor`] for [`trtx_sys::nvinfer1::IProgressMonitor`]; C++ [`nvinfer1::v_1_0::IProgressMonitor`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_progress_monitor.html).
 ///
 /// Use with [`crate::BuilderConfig::set_progress_monitor`].
 pub trait MonitorProgress: Send + Sync {
-    /// See [`trtx_sys::nvinfer1::IProgressMonitor`] / C++ [`phaseStart`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_progress_monitor.html).
+    /// See [`trtx_sys::nvinfer1::IProgressMonitor`] / C++ [`phaseStart`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_progress_monitor.html).
     fn phase_start(&self, phase_name: &str, parent_phase: Option<&str>, num_steps: i32);
-    /// See [`trtx_sys::nvinfer1::IProgressMonitor`] / C++ [`stepComplete`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_progress_monitor.html). Return whether to continue building or cancel.
+    /// See [`trtx_sys::nvinfer1::IProgressMonitor`] / C++ [`stepComplete`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_progress_monitor.html). Return whether to continue building or cancel.
     fn step_complete(&self, phase_name: &str, step: i32) -> std::ops::ControlFlow<()>;
-    /// See [`trtx_sys::nvinfer1::IProgressMonitor`] / C++ [`phaseFinish`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_progress_monitor.html).
+    /// See [`trtx_sys::nvinfer1::IProgressMonitor`] / C++ [`phaseFinish`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_progress_monitor.html).
     fn phase_finish(&self, phase_name: &str);
 }
 
@@ -70,7 +70,7 @@ unsafe extern "system" fn ProgressMonitor_phaseFinish(
         .phase_finish(&phase_name.to_string_lossy());
 }
 
-/// Bridges to [`trtx_sys::nvinfer1::IProgressMonitor`]; C++ [`nvinfer1::v_1_0::IProgressMonitor`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_progress_monitor.html).
+/// Bridges to [`trtx_sys::nvinfer1::IProgressMonitor`]; C++ [`nvinfer1::v_1_0::IProgressMonitor`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_progress_monitor.html).
 ///
 /// Construct with a [`MonitorProgress`] implementation.
 #[repr(C)]
@@ -276,7 +276,7 @@ unsafe extern "system" fn GpuAllocator_deallocateAsync(
         .deallocate_async(memory, cuda_stream)
 }
 
-/// Bridges to [`trtx_sys::nvinfer1::IGpuAllocator`]; C++ [`nvinfer1::v_1_0::IGpuAllocator`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_gpu_allocator.html).
+/// Bridges to [`trtx_sys::nvinfer1::IGpuAllocator`]; C++ [`nvinfer1::v_1_0::IGpuAllocator`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_gpu_allocator.html).
 ///
 /// Construct with an [`AllocateGpu`] implementation.
 #[repr(C)]
@@ -321,7 +321,7 @@ impl GpuAllocator {
     }
 }
 
-/// Implemented by [`GpuAllocator`] for [`trtx_sys::nvinfer1::IGpuAllocator`]; C++ [`nvinfer1::v_1_0::IGpuAllocator`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_gpu_allocator.html).
+/// Implemented by [`GpuAllocator`] for [`trtx_sys::nvinfer1::IGpuAllocator`]; C++ [`nvinfer1::v_1_0::IGpuAllocator`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_gpu_allocator.html).
 pub trait AllocateGpu: Send + Sync {
     // we omit the following deprecated methods
     //fn allocate(&mut self, size: u64, alignment: u64, flags: u32) -> *mut autocxx::c_void;
@@ -425,7 +425,7 @@ unsafe extern "system" fn ErrorRecorder_decRefCount(this: *mut ErrorRecorder) ->
     this.as_mut().unwrap().rust_impl.dec_ref_count()
 }
 
-/// Bridges to [`trtx_sys::nvinfer1::IErrorRecorder`]; C++ [`nvinfer1::v_1_0::IErrorRecorder`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_error_recorder.html).
+/// Bridges to [`trtx_sys::nvinfer1::IErrorRecorder`]; C++ [`nvinfer1::v_1_0::IErrorRecorder`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_error_recorder.html).
 ///
 /// Construct with a [`RecordError`] implementation.
 #[repr(C)]
@@ -483,7 +483,7 @@ impl ErrorRecorder {
     }
 }
 
-/// Implemented by [`ErrorRecorder`] for [`trtx_sys::nvinfer1::IErrorRecorder`]; C++ [`nvinfer1::v_1_0::IErrorRecorder`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_error_recorder.html).
+/// Implemented by [`ErrorRecorder`] for [`trtx_sys::nvinfer1::IErrorRecorder`]; C++ [`nvinfer1::v_1_0::IErrorRecorder`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_error_recorder.html).
 pub trait RecordError: Send + Sync {
     fn nb_errors(&self) -> i32;
     fn error_code(&self, error_idx: i32) -> ErrorCode;
@@ -522,7 +522,7 @@ unsafe extern "system" fn DebugListener_processDebugTensor(
         .is_ok()
 }
 
-/// Bridges to [`trtx_sys::nvinfer1::IDebugListener`]; C++ [`nvinfer1::v_1_0::IDebugListener`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_debug_listener.html).
+/// Bridges to [`trtx_sys::nvinfer1::IDebugListener`]; C++ [`nvinfer1::v_1_0::IDebugListener`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_debug_listener.html).
 #[repr(C)]
 pub struct DebugListener {
     cpp_obj: *mut nvinfer1::IDebugListener,
@@ -566,7 +566,7 @@ impl DebugListener {
     }
 }
 
-/// Implemented by [`DebugListener`] for [`trtx_sys::nvinfer1::IDebugListener`] (`processDebugTensor`); C++ [`nvinfer1::v_1_0::IDebugListener`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_debug_listener.html).
+/// Implemented by [`DebugListener`] for [`trtx_sys::nvinfer1::IDebugListener`] (`processDebugTensor`); C++ [`nvinfer1::v_1_0::IDebugListener`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_debug_listener.html).
 pub trait ProcessDebugTensor: Send + Sync {
     /// # Safety
     ///
@@ -602,7 +602,7 @@ unsafe extern "system" fn Profiler_reportLayerTime(
         .report_layer_time(name.as_ref(), ms);
 }
 
-/// Bridges to [`trtx_sys::nvinfer1::IProfiler`]; C++ [`nvinfer1::v_1_0::IProfiler`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_profiler.html).
+/// Bridges to [`trtx_sys::nvinfer1::IProfiler`]; C++ [`nvinfer1::v_1_0::IProfiler`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_profiler.html).
 #[repr(C)]
 pub struct Profiler {
     cpp_obj: *mut nvinfer1::IProfiler,
@@ -654,7 +654,7 @@ impl Drop for Profiler {
     }
 }
 
-/// Implemented by [`Profiler`] for [`trtx_sys::nvinfer1::IProfiler`] (`reportLayerTime`); C++ [`nvinfer1::v_1_0::IProfiler`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1v__1__0_1_1_i_profiler.html).
+/// Implemented by [`Profiler`] for [`trtx_sys::nvinfer1::IProfiler`] (`reportLayerTime`); C++ [`nvinfer1::v_1_0::IProfiler`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_profiler.html).
 pub trait ReportLayerTime: Send + Sync {
     /// Layer name from the network (or a decimal layer index if the engine was built with profiling
     /// verbosity [`crate::ProfilingVerbosity::kNONE`]). `ms` is execution time for that layer in

diff --git a/trtx/src/lib.rs b/trtx/src/lib.rs
@@ -116,7 +116,7 @@
 //!
 //! Rust types in this crate wrap TensorRT for RTX C++ interfaces. The authoritative class list and
 //! method documentation is the
-//! [TensorRT for RTX C++ API (annotated)](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/annotated.html).
+//! [TensorRT for RTX C++ API (annotated)](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/annotated.html).
 //! Each wrapper’s docs also link the Rust FFI type in [`trtx_sys::nvinfer1`] or [`trtx_sys::nvonnxparser`]
 //! alongside the matching C++ class on NVIDIA’s site.
 

diff --git a/trtx/src/logger.rs b/trtx/src/logger.rs
@@ -1,6 +1,6 @@
 //! Logger interface for TensorRT-RTX.
 //!
-//! [`Logger`] bridges to [`trtx_sys::nvinfer1::ILogger`] for the C++ API (see C++ [`nvinfer1::ILogger`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_logger.html)).
+//! [`Logger`] bridges to [`trtx_sys::nvinfer1::ILogger`] for the C++ API (see C++ [`nvinfer1::ILogger`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_logger.html)).
 
 /// Severity level for log messages
 #[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
@@ -51,7 +51,7 @@ impl LogHandler for LogCrateLogger {
 
 /// Logger (uses Rust bridge to TensorRT)
 ///
-/// Implements the callback side of [`trtx_sys::nvinfer1::ILogger`] via the Rust bridge; C++ [`nvinfer1::ILogger`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/cpp-api/classnvinfer1_1_1_i_logger.html).
+/// Implements the callback side of [`trtx_sys::nvinfer1::ILogger`] via the Rust bridge; C++ [`nvinfer1::ILogger`](https://docs.nvidia.com/deeplearning/tensorrt-rtx/latest/_static/c-api/classnvinfer1_1_1v__1__0_1_1_i_logger.html).
 pub struct Logger {
     bridge: *mut trtx_sys::RustLoggerBridge,
     user_data: *mut std::ffi::c_void,