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Format name Design goal Compatible with other formats Self-contained DNN Model Pre-processing and Post-processing Run-time configuration for tuning & calibration DNN model interconnect Common platform TensorFlow, Keras, Caffe, Torch: Algorithm training No No / Separate files in most formats No No No Yes ONNX: Algorithm training Yes
This is a list of eponyms of Nvidia GPU microarchitectures.The eponym in this case is the person after whom an architecture is named. Listed are the person, their portrait, their profession or areas of expertise, their birth year, their death year, their country of origin, the microarchitecture named after them, and the year of release of the GPU architecture.
In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [ 24 ] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo , a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and ...
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.
Lists of graphics cards follow. A graphics card, or graphics processing unit, is a specialized electronic circuit that rapidly manipulates and alters memory to build images in a frame buffer for output to a display. By manufacturer, they include: List of AMD graphics processing units; Intel Graphics Technology; List of Nvidia graphics ...
The torch package also simplifies object-oriented programming and serialization by providing various convenience functions which are used throughout its packages. The torch.class(classname, parentclass) function can be used to create object factories ().
Building the current crop of artificial intelligence chatbots has relied on specialized computer chips pioneered by Nvidia, which dominates the market and made itself the poster child of the AI boom.
Caffe supports GPU- and CPU-based acceleration ... (RNN). At the end of March 2018, Caffe2 was merged into PyTorch. [13 ... Text is available under the ...