libdl
0.0.1
Simple yet powerful deep learning
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evaluators.hpp
Go to the documentation of this file.
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#ifndef DL_LEARNING_EVALUATORS_HPP
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#define DL_LEARNING_EVALUATORS_HPP
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#include "../device.hpp"
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#include "../tensor/tensorptr.hpp"
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namespace
dl {
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class
MeanError
{
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private
:
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dl::TensorPtr
sum;
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size_t
num;
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public
:
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MeanError
() noexcept :
sum
(dl::constant(0)), num(0) {}
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MeanError
& operator+=(
dl::TensorPtr
loss)
noexcept
{
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sum
=
sum
+
dl::sum
(loss);
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num +=
dl::numEntries
(loss);
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return
*
this
;
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}
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dl::TensorPtr
aggregated()
const
{
return
sum
/ (float)num; }
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};
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}
// namespace dl
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#endif
dl::MeanError
Definition
evaluators.hpp:14
dl::TensorPtr
The Tensor is a managed pointer to a tensor. It can generally be thought of like an std::unique_ptr<T...
Definition
tensorptr.hpp:45
dl::sum
TensorPtr sum(TensorPtr x) noexcept
Sum.
dl::numEntries
size_t numEntries(const TensorPtr &tensor) noexcept
Returns the number of entries in the tensor.
dl
learning
evaluators.hpp
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