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News and compat annotation for #29978 (peakflops from
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InteractiveUtils to LinearAlgebra).
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fredrikekre committed Nov 30, 2018
1 parent aa53212 commit 88e29e1
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2 changes: 2 additions & 0 deletions NEWS.md
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Expand Up @@ -65,6 +65,8 @@ Deprecated or removed
to get an appropriate task-local buffer and pass it to `grisu()` instead ([#29907]).
* The internal function `Base._default_type(T)` has been removed. Calls to it should be
replaced with just the argument `T` ([#29739]).
* `peakflops` have been scheduled to move from `InteractiveUtils` to `LinearAlgebra`
but is already now available as `LinearAlgebra.peakflops` ([#29978]).

<!--- generated by NEWS-update.jl: -->
[#28156]: https://github.com/JuliaLang/julia/issues/28156
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6 changes: 3 additions & 3 deletions stdlib/InteractiveUtils/src/InteractiveUtils.jl
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Expand Up @@ -316,9 +316,9 @@ export peakflops
[`gemm!`](@ref LinearAlgebra.BLAS.gemm!). For more information see
[`LinearAlgebra.peakflops`](@ref).
!!! note
This function will move to the `LinearAlgebra` standard library in the
future, and is already available as `LinearAlgebra.peakflops`.
!!! compat "Julia 1.1"
This function will be moved from `InteractiveUtils` to `LinearAlgebra` in the
future. In Julia 1.1 and later it is available as `LinearAlgebra.peakflops`.
"""
function peakflops(n::Integer=2000; parallel::Bool=false)
# Base.depwarn("`peakflop`s have moved to the LinearAlgebra module, " *
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4 changes: 4 additions & 0 deletions stdlib/LinearAlgebra/src/LinearAlgebra.jl
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Expand Up @@ -392,6 +392,10 @@ If the keyword argument `parallel` is set to `true`, `peakflops` is run in paral
the worker processors. The flop rate of the entire parallel computer is returned. When
running in parallel, only 1 BLAS thread is used. The argument `n` still refers to the size
of the problem that is solved on each processor.
!!! compat "Julia 1.1"
This function requires at least Julia 1.1. In Julia 1.0 it is available from
the standard library `InteractiveUtils`.
"""
function peakflops(n::Integer=2000; parallel::Bool=false)
a = fill(1.,100,100)
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