ERROR:root:Failed to save engine: [Errno 2] No such file or directory: 'C:\Users\Omen\Desktop\Engineering\Programming\AI\stable-diffusion-webui\models\Unet-trt\0.5(abyssorangemix2_Hard) + 0.5(ambientgrapemixAnime2D_v20)_06ace631_cc86_sample=1x4x64x64+2x4x64x64+8x4x96x96-timesteps=1...
[09/26/2023-18:39:53] [I] [TRT] [MemUsageChange] TensorRT-managed allocation in building engine: CPU +89, GPU +128, now: CPU 89, GPU 128 (MiB) [09/26/2023-18:39:53] [E] Saving engine to file failed. [09/26/2023-18:39:53] [E] Engine set up failed &&&& FAILED TensorRT...
model.py文件 2017行 from keras.engine import topology 1. 1 修改为 from keras.engine import saving 1. 1 代码中topology全部替换为saving 4. no attribute ‘metrics_tensors’ 继续运行balloon.py,报错: File "E:\_detection\Mask_RCNN-2.1-tf2-Shawn\samples\balloon\model.py", line 2100, in compil...
engineFile) { std::cout << "Failed opening file to write" << std::endl; return; } engineFile.write(static_cast<char *>(engineString->data()), engineString->size()); if (engineFile.fail()) { std::cout << "Failed saving .plan file!" << std::endl; return; } std::cout <<...
Added a new kWEIGHTLESS builder flag to build the engine without saving weights with no impact on runtime performance. You need to use the refit API to pull those weights back before inference. Added a new serializeWithConfig API to serialize the engine with optional new flags kEXCLUDE_WEIGH...
925 AERROR << "Saving serialized model file to " << trt_cache_path;926 }927 } else {928 AINFO << "Loading TensorRT engine from serialized model file...";929 std::ifstream planFile(trt_cache_path);930 931 if (!planFile.is_open()) {932...
.build_engine(network, config) # 序列化引擎并保存到文件 if engine is not None: with open(engine_file_path, "wb") as f: f.write(engine.serialize()) print(f"Completed creating and saving engine to {engine_file_path}") else: print("Failed to create TensorRT engine") return engine ...
Unable to determine if floor(floor(width/4)/2) <= unk__2, treat as equal [W] ONNX shape inference exited with an error: [I] Saving ONNX model to: upernet_swin_base_dynamic_1080x608_folded.onnx [I] New Model: Name: torch-jit-export | ONNX Opset: 11 ...
Added a runtime parameter to EngineFromBytes and EngineFromNetwork to enable deserializing plans with a custom runtime. Added a LoadRuntime TensorRT loader that can be used to load a runtime from a path and a corresponding --load-runtime CLI option. Changed Updated Polygraphy to warn when ...
Description I am trying to build an engine from ONNX. It is a legacy model that has worked for me in the past (on e.g. TensorRT 8.0). I've managed to isolate to the subgraph (I believe) that is causing the problem subgraph.zip When runni...