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Collecting values from each row of a source tensor based on an index tensor.
Distinct from Tensor Transformations: Focuses on index-based collection of elements, distinct from general shape transformations.
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Torch7 is a scientific computing environment and tensor computation library used for deep learning research and numerical analysis. It functions as a Lua-based framework for training neural networks and learning agents, providing a toolkit for implementing architectures and training through reinforcement learning algorithms. The project is distinguished by its tight integration with C, utilizing a binding layer to map high-level scripting to low-level C structures for direct memory access. It supports hardware-accelerated computation by offloading linear algebra and convolution operations to
Collects values from each row of a source tensor based on an index tensor.