LLVM ERROR : out of memory(onnx to tensorRT engine)

Description

I tried to convert the solider-reid model into tensorrt engine by simplifying it and extracting it as onnx.
But I got un error message
LLVM ERROR : out of memory error
I don’t know what’s causing it.

Environment

TensorRT Version: 10.0.0.6
GPU Type: NVIDIA RTX A6000
Nvidia Driver Version: 551.78
CUDA Version: 12.4
CUDNN Version: 8.9.7
Operating System + Version: Win 11

Relevant Files

onnx file :https://drive.google.com/file/d/1zGlyYzrtj85fdBNhndFoFambuRcqhR67/view?usp=drive_link

Steps To Reproduce

trtexec --onnx=solider-reid-swin_t_sim.onnx --saveEngine=solider-reid-swin_t_sim.engine --noTF32

I’ll show you the results of my execution below

J:\APPL\CUDA-12.4\TensorRT-10.0.0.6\bin>trtexec --onnx=solider-reid-swin_t_sim.onnx --saveEngine=solider-reid-swin_t_sim.engine --noTF32
&&&& RUNNING TensorRT.trtexec [TensorRT v100000] # trtexec --onnx=solider-reid-swin_t_sim.onnx --saveEngine=solider-reid-swin_t_sim.engine --noTF32
[05/16/2024-09:16:04] [I] === Model Options ===
[05/16/2024-09:16:04] [I] Format: ONNX
[05/16/2024-09:16:04] [I] Model: solider-reid-swin_t_sim.onnx
[05/16/2024-09:16:04] [I] Output:
[05/16/2024-09:16:04] [I] === Build Options ===
[05/16/2024-09:16:04] [I] Memory Pools: workspace: default, dlaSRAM: default, dlaLocalDRAM: default, dlaGlobalDRAM: default, tacticSharedMem: default
[05/16/2024-09:16:04] [I] avgTiming: 8
[05/16/2024-09:16:04] [I] Precision: FP32
[05/16/2024-09:16:04] [I] LayerPrecisions:
[05/16/2024-09:16:04] [I] Layer Device Types:
[05/16/2024-09:16:04] [I] Calibration:
[05/16/2024-09:16:04] [I] Refit: Disabled
[05/16/2024-09:16:04] [I] Strip weights: Disabled
[05/16/2024-09:16:04] [I] Version Compatible: Disabled
[05/16/2024-09:16:04] [I] ONNX Plugin InstanceNorm: Disabled
[05/16/2024-09:16:04] [I] TensorRT runtime: full
[05/16/2024-09:16:04] [I] Lean DLL Path:
[05/16/2024-09:16:04] [I] Tempfile Controls: { in_memory: allow, temporary: allow }
[05/16/2024-09:16:04] [I] Exclude Lean Runtime: Disabled
[05/16/2024-09:16:04] [I] Sparsity: Disabled
[05/16/2024-09:16:04] [I] Safe mode: Disabled
[05/16/2024-09:16:04] [I] Build DLA standalone loadable: Disabled
[05/16/2024-09:16:04] [I] Allow GPU fallback for DLA: Disabled
[05/16/2024-09:16:04] [I] DirectIO mode: Disabled
[05/16/2024-09:16:04] [I] Restricted mode: Disabled
[05/16/2024-09:16:04] [I] Skip inference: Disabled
[05/16/2024-09:16:04] [I] Save engine: solider-reid-swin_t_sim.engine
[05/16/2024-09:16:04] [I] Load engine:
[05/16/2024-09:16:04] [I] Profiling verbosity: 0
[05/16/2024-09:16:04] [I] Tactic sources: Using default tactic sources
[05/16/2024-09:16:04] [I] timingCacheMode: local
[05/16/2024-09:16:04] [I] timingCacheFile:
[05/16/2024-09:16:04] [I] Enable Compilation Cache: Enabled
[05/16/2024-09:16:04] [I] errorOnTimingCacheMiss: Disabled
[05/16/2024-09:16:04] [I] Preview Features: Use default preview flags.
[05/16/2024-09:16:04] [I] MaxAuxStreams: -1
[05/16/2024-09:16:04] [I] BuilderOptimizationLevel: -1
[05/16/2024-09:16:04] [I] Calibration Profile Index: 0
[05/16/2024-09:16:04] [I] Weight Streaming: Disabled
[05/16/2024-09:16:04] [I] Debug Tensors:
[05/16/2024-09:16:04] [I] Input(s)s format: fp32:CHW
[05/16/2024-09:16:04] [I] Output(s)s format: fp32:CHW
[05/16/2024-09:16:04] [I] Input build shapes: model
[05/16/2024-09:16:04] [I] Input calibration shapes: model
[05/16/2024-09:16:04] [I] === System Options ===
[05/16/2024-09:16:04] [I] Device: 0
[05/16/2024-09:16:04] [I] DLACore:
[05/16/2024-09:16:04] [I] Plugins:
[05/16/2024-09:16:04] [I] setPluginsToSerialize:
[05/16/2024-09:16:04] [I] dynamicPlugins:
[05/16/2024-09:16:04] [I] ignoreParsedPluginLibs: 0
[05/16/2024-09:16:04] [I]
[05/16/2024-09:16:04] [I] === Inference Options ===
[05/16/2024-09:16:04] [I] Batch: Explicit
[05/16/2024-09:16:04] [I] Input inference shapes: model
[05/16/2024-09:16:04] [I] Iterations: 10
[05/16/2024-09:16:04] [I] Duration: 3s (+ 200ms warm up)
[05/16/2024-09:16:04] [I] Sleep time: 0ms
[05/16/2024-09:16:04] [I] Idle time: 0ms
[05/16/2024-09:16:04] [I] Inference Streams: 1
[05/16/2024-09:16:04] [I] ExposeDMA: Disabled
[05/16/2024-09:16:04] [I] Data transfers: Enabled
[05/16/2024-09:16:04] [I] Spin-wait: Disabled
[05/16/2024-09:16:04] [I] Multithreading: Disabled
[05/16/2024-09:16:04] [I] CUDA Graph: Disabled
[05/16/2024-09:16:04] [I] Separate profiling: Disabled
[05/16/2024-09:16:04] [I] Time Deserialize: Disabled
[05/16/2024-09:16:04] [I] Time Refit: Disabled
[05/16/2024-09:16:04] [I] NVTX verbosity: 0
[05/16/2024-09:16:04] [I] Persistent Cache Ratio: 0
[05/16/2024-09:16:04] [I] Optimization Profile Index: 0
[05/16/2024-09:16:04] [I] Weight Streaming Budget: -1 bytes
[05/16/2024-09:16:04] [I] Inputs:
[05/16/2024-09:16:04] [I] Debug Tensor Save Destinations:
[05/16/2024-09:16:04] [I] === Reporting Options ===
[05/16/2024-09:16:04] [I] Verbose: Disabled
[05/16/2024-09:16:04] [I] Averages: 10 inferences
[05/16/2024-09:16:04] [I] Percentiles: 90,95,99
[05/16/2024-09:16:04] [I] Dump refittable layers:Disabled
[05/16/2024-09:16:04] [I] Dump output: Disabled
[05/16/2024-09:16:04] [I] Profile: Disabled
[05/16/2024-09:16:04] [I] Export timing to JSON file:
[05/16/2024-09:16:04] [I] Export output to JSON file:
[05/16/2024-09:16:04] [I] Export profile to JSON file:
[05/16/2024-09:16:04] [I]
[05/16/2024-09:16:04] [I] === Device Information ===
[05/16/2024-09:16:04] [I] Available Devices:
[05/16/2024-09:16:04] [I] Device 0: “NVIDIA RTX A6000” UUID: GPU-c959833a-69aa-83ed-1534-2814aebba435
[05/16/2024-09:16:04] [I] Selected Device: NVIDIA RTX A6000
[05/16/2024-09:16:04] [I] Selected Device ID: 0
[05/16/2024-09:16:04] [I] Selected Device UUID: GPU-c959833a-69aa-83ed-1534-2814aebba435
[05/16/2024-09:16:04] [I] Compute Capability: 8.6
[05/16/2024-09:16:04] [I] SMs: 84
[05/16/2024-09:16:04] [I] Device Global Memory: 49139 MiB
[05/16/2024-09:16:04] [I] Shared Memory per SM: 100 KiB
[05/16/2024-09:16:04] [I] Memory Bus Width: 384 bits (ECC disabled)
[05/16/2024-09:16:04] [I] Application Compute Clock Rate: 1.8 GHz
[05/16/2024-09:16:04] [I] Application Memory Clock Rate: 8.001 GHz
[05/16/2024-09:16:04] [I]
[05/16/2024-09:16:04] [I] Note: The application clock rates do not reflect the actual clock rates that the GPU is currently running at.
[05/16/2024-09:16:04] [I]
[05/16/2024-09:16:04] [I] TensorRT version: 10.0.0
[05/16/2024-09:16:04] [I] Loading standard plugins
[05/16/2024-09:16:05] [I] [TRT] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 11835, GPU 1594 (MiB)
[05/16/2024-09:16:19] [I] [TRT] [MemUsageChange] Init builder kernel library: CPU +2643, GPU +310, now: CPU 14760, GPU 1904 (MiB)
[05/16/2024-09:16:19] [I] Start parsing network model.
[05/16/2024-09:16:20] [I] [TRT] ----------------------------------------------------------------
[05/16/2024-09:16:20] [I] [TRT] Input filename: solider-reid-swin_t_sim.onnx
[05/16/2024-09:16:20] [I] [TRT] ONNX IR version: 0.0.8
[05/16/2024-09:16:20] [I] [TRT] Opset version: 17
[05/16/2024-09:16:20] [I] [TRT] Producer name: pytorch
[05/16/2024-09:16:20] [I] [TRT] Producer version: 2.3.0
[05/16/2024-09:16:20] [I] [TRT] Domain:
[05/16/2024-09:16:20] [I] [TRT] Model version: 0
[05/16/2024-09:16:20] [I] [TRT] Doc string:
[05/16/2024-09:16:20] [I] [TRT] ----------------------------------------------------------------
[05/16/2024-09:16:20] [I] Finished parsing network model. Parse time: 1.07807
[05/16/2024-09:16:20] [I] [TRT] Local timing cache in use. Profiling results in this builder pass will not be stored.
LLVM ERROR: out of memory