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Project.toml

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name = "TensorOperations"
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uuid = "6aa20fa7-93e2-5fca-9bc0-fbd0db3c71a2"
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authors = ["Lukas Devos <[email protected]>", "Maarten Van Damme <[email protected]>", "Jutho Haegeman <[email protected]>"]
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version = "5.1.5"
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version = "5.2.0"
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[deps]
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CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"

docs/src/man/precompilation.md

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# Precompilation
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Since version `v5.1.5`, TensorOperations.jl has some support for precompiling commonly called functions.
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TensorOperations.jl has some support for precompiling commonly called functions.
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The guiding philosophy is that often, tensor contractions are (part of) the bottlenecks of typical workflows,
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and as such we want to maximize performance. As a result, we are choosing to specialize many functions which
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may lead to a rather large time-to-first-execution (TTFX). In order to mitigate this, some of that work can
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Therefore, there is some customization possible to tweak the desired level of precompilation, trading in
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faster precompile times for fast TTFX for a wider range of inputs.
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!!! compat "TensorOperations v5.2.0"
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Precompilation support requires at least TensorOperations v5.2.0.
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## Defaults
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By default, precompilation is enabled for "tensors" of type `Array{T,N}`, where `T` and `N` range over the following values:

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