Comments (3)
Sorry, we don't support Windows just yet for the OSS builds.
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Did you use the docker based build, and if not can you try that? Also whats the OS on your build machine?
Windows support is not verified for the TensorRT OSS workflow in this release, although you could try generating VS solution from the CMakeFiles provided.
from tensorrt.
My machine is windows10 x64 with VS2015. I didn't use docker, and the TensorRT I use is downloaded from NVIDIA. I found that your TensorRT OSS and NVIDIA TensorRT are quite different. Thank you!
from tensorrt.
Related Issues (20)
- performance of concurrent with different module. HOT 7
- dla standalone loadable file inspect HOT 2
- Could not decode serialized type: np.ndarray. This could be because a required module is missing HOT 1
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- My onnx file successfully run by CUDAExecutionProvider, but failed with TensorrtExecutionProvider through onnxruntime HOT 6
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- trtexec: onnx to tensorRT convertion fails with --fp16, It reported a Segmentation fault. HOT 17
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- Which Visual Studio 2022 BuildTools MSVC is the best version for Cuda 11.8 and Cuda 12.4 and so HOT 1
- add_matrix_multiple result is different from add_fully_comnected HOT 1
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- Initialization failure of TensorRT 8.5.1.7 when running bcdu model on GPU A5000 HOT 10
- Cuda MEMCPY failure with float16 of TensorRT 10.3 Custom Plugin when running inference on H100 NVL x 2 HOT 1
- ICudaEngine.getTensorShape function gets the output dimension of the model that contains -1. HOT 16
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- [Issue still exists in TRT 10.4] Fail to build the engine if input tensor number > 2^31 HOT 8
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