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LAST UPDATED: 02 Nov, 2022 
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Description Hi, folks. I’m trying to convert a YOLO model using the new torch _tensorrt API and I’m getting some issues. A clear and concise description of the bug or issue. Environment All the libraries and dependencies are working well. I did the SSD test etc etc etc. Steps To Reproduce I’m using the following code: import torch import torch _tensorrt ...
https://forums.developer.nvidia.com/t/torch-tensorrt-and-yolo/195581Bug Description ERROR: [ Torch -TensorRT] - Method requested cannot be compiled by Torch -TensorRT.TorchScript. Unsupported operators listed below: - aten::cross_entropy_loss( Tensor self, Tensor target, Tensor ? weight=None, int reduction=1,
https://github.com/NVIDIA/Torch-TensorRT/issues/829tensor to int python. python by CodeHunter on Jul 05 2021 Comment. 0. #in the case the tensor has only one value int _ tensor = torch .IntTensor (3) int _value = int _ tensor .item () #in the case the tensor has only many values int _ tensor = torch .IntTensor ( [3,2,1]) list_ int _value = int _ tensor .tolist () xxxxxxxxxx. 1.
https://www.codegrepper.com/code-examples/python/frameworks/-file-path-python/tensor+to+int+pythonVersions. Collecting environment information PyTorch version: 1.10.1 Is debug build: False CUDA used to build PyTorch: 11.5 ROCM used to build PyTorch: N/A
https://github.com/pytorch/pytorch/issues/71067torch.as_tensor(data, dtype=None, device=None) → Tensor Convert the data into a torch.Tensor. If the data is already a Tensor with the same dtype and device, no copy will be performed, otherwise a new Tensor will be returned with computational graph retained if data Tensor has requires_grad=True.
PyTorch is designed to be pretty compatible with NumPy. Because of this, converting a NumPy array to a PyTorch tensor is simple: import torch import numpy as np x = np.eye(3) torch.from_numpy(x) All you have to do is use the torch.from_numpy () function.
We’re then going to use PyTorch’s shape operation to check that it is in fact a zero-dimensional tensor. We can see that it is an empty list which signifies that it has zero dimensions. To convert the zero-dimensional PyTorch tensor to a Python number, let’s use PyTorch’s item operation.
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