Releases
5.0.1
New tensor<T, dims>
class for multidimensional data (like numpy's nparray)
Histogram computation
Normal (gaussian) distribution for random number generator
Documentation updates
All builtin expressions support multiple dimensions
Exception support (may be configured to call user-supplied function or std::abort)
[changes required] CMake variables now have KFR_
prefix
Template parameter deduction for vec
, so vec{1, 2}
is the same as vec<int, 2>{1, 2}
[changes required] random_state
is now architecture-agnostic and defined in kfr
namespace
All expression classes have been moved from kfr::CMT_ARCH_NAME::internal
to kfr::CMT_ARCH_NAME
namespace
expression_traits<T>
introduced to support interpreting any object as kfr expression
[changes required] User-defined expressions should be rewritten to be used in KFR5
Out-of-class assign operators for all input & output expressions
round.hpp
, clamp.hpp
, select.hpp
, sort.hpp
, saturation.hpp
, min_max.hpp
, logical.hpp
, abs.hpp
headers have been moved to simd
module
state_holder.hpp
has been moved to base
module
All code related to expressions have been moved to base
module
vec<T, N>::front()
and vec<T, N>::front()
are now writable
set_elements
functions for output expressions like get_elements
for input expressions
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