PyTorch Release NotesTensorBoard 2.9.0 ‣ Nsight Compute 2023.1.1.4 ‣ Nsight Systems 2023.2.3.1001 ‣ NVIDIA TensorRT™ 8.6.1.6 ‣ Torch-TensorRT 1.5.0.dev0 ‣ NVIDIA DALI® 1.27.0 ‣ MAGMA 2.6.2 ‣ JupyterLab 2.3.2 including Jupyter-TensorBoard PyTorch code. ‣ A preview of Torch-TensorRT (1.4.0dev0) is now included. Torch-TRT is the TensorRT integration for PyTorch and brings the capabilities of TensorRT directly to Torch in one line Python PyTorch Container Versions The following table shows what versions of Ubuntu, CUDA, PyTorch, and TensorRT are supported in each of the NVIDIA containers for PyTorch. For earlier container versions, refer0 码力 | 365 页 | 2.94 MB | 1 年前3
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