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You can write new neural network layers in Python using the torch API or your favorite NumPy-based libraries such as SciPy. If you want to write your layers in C/C++, we provide a convenient extension API that is efficient and with minimal boilerplate. A torch is a stick with combustible material at one end which can be used as a light source or to set something on fire. [1] Torches have been used throughout history and are still used in processions, symbolic and religious events, and in juggling and entertainment. The core package of Torch is torch. It provides a flexible N-dimensional array or Tensor, which supports basic routines for indexing, slicing, transposing, type-casting, resizing, sharing storage and cloning.
