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PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation

International Conference on Architectural Support for Programming Languages and Operating Systems
This paper introduces two extensions to the popular PyTorch machine learning framework, TorchDynamo and TorchInductor, which implement the torch.compile feature released in PyTorch 2. TorchDynamo is a Python-level just-in-time (JIT) compiler that enables
Jason Ansel   +48 more
semanticscholar   +1 more source

Quantum Geometric Transformations

2021
Geometric transformations are basic operations in image processing. This chapter describes geometric transformations of images and videos. These geometric transformations include two-point swapping, symmetric flip, local flip, orthogonal rotation, and translation.
openaire   +1 more source

Geometric Transformations

2020
Arcangelo Distante, Cosimo Distante
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Geometric Transformations

2022
Răzvan Gelca   +2 more
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Estimating geometrical transform parameters for affine-transform-base geometrical corrections

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
The geometrical transform parameters included in the ancillary file of the system-corrected Landsat TM image, such as a translation, a rotation angle and a scaling, may contain errors. Therefore, it sometimes occurs that the orthoimage obtained by the affine tranform is not desirable.
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Geometric Matrix Transforms

2015
Geometric matrix transforms are an intuitive way of defining and building geometric operations such as scale, translate, reflect, shear and rotate. In 2D, such operations are generally associated with images and text, and widely used in internet browsers, image-processing software, smart phones and watches.
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Geometrical transformations in optics*

Journal of the Optical Society of America, 1974
Geometrical image modifications such as coordinate transformations and local translation, inversion, reflection, stretching which require space-variant optical coherent systems are provided by introducing phase filters having a predetermined phase function into optical coherent systems in such a manner that the local phase variations influence light ...
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Multiscale Geometric Transforms

2015
INTRODUCTION The ridgelet and curvelet transforms generalize the wavelet transform. Firstly they incorporate angular alignment information, and then in addition length of the alignment is covered. As with all of these transforms, multiple scales are supported.
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