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Awesome GitHub RepositoriesLazy Tensor Initialization
Deferred creation of tensors with specific values, such as zeros or linear sequences, evaluated only on access.
Distinct from Lazy Initialization: Focuses on numerical tensor initialization rather than general object creation for startup performance.
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Awesome Lazy Tensor Initialization GitHub Repositories
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- xtensor-stack/xtensor
xtensor-stack/xtensor
3,748Vezi pe GitHubxtensor is a C++ multidimensional array library for numerical computing that provides N-dimensional containers with an interface mirroring the NumPy API. It utilizes a lazy evaluation expression engine to defer numerical computations until assignment, which minimizes memory allocations and intermediate copies. The library features a foreign memory array adaptor that allows it to wrap external buffers, such as NumPy arrays, to perform numerical operations in-place without duplicating data. It further optimizes performance through lazy broadcasting and a system that manages the lifetime of temp
Generates lazy expressions for array initialization that are only computed upon access or assignment.
C++c-plus-plus-14multidimensional-arraysnumpy
