![]() ![]() TorchServe speeds up the production process. PyTorch is production-ready: TorchScript smoothly toggles between eager and graph modes.PyTorch has 4 key features according to its official homepage. The framework now has graph-based execution with the release of PyTorch 1.0, a hybrid front-end that allows for seamless mode switching, interactive monitoring, and efficient and stable implementation on mobile platforms. ![]() This enables quick, scalable testing through an autograding component designed for fast and python-like execution. PyTorch is an open-source Deep Learning framework for research, stable and enabling implementation that is scalable and flexible. ![]() You you want to check in another environment, e.g., pytorch14 below, use -n like this: conda list -n pytorch14 -f pytorch What is PyTorch? you can use the command conda list to check its detail which also include the version info. Similar to pip, if you used Anaconda to install PyTorch. Required-by: torchvision Use conda to check PyTorch package version Location: /home/vh/.local/lib/python3.8/site-packages Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration Here is the full output in text for your reference: pip3 show torch We wrote a tutorial before on how to install PyTorch on Ubuntu 20.04. This is because I am running Ubuntu 20.04, which comes with CUDA 10.1 by default. The +cu101 means my cuda version is 10.1. ![]() The second line starting with version will show which version have you installed or updated PyTorch. If you have used pip to install PyTorch, you can use pip3 show to check the details of PyTorch. Note that if you haven’t import PyTorch, you need to use import torch in the beginning of your Python script or before the print statement below. If you are in the Python interpreter or want to use programmingly check PyTorch version, use torch._version_. If you have not install PyTorch, search install PyTorch - we have written a bunch of tutorial on this for various versions. You should have installed PyTorch already, which is the assumption of this tutorial. ![]()
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