mic::neural_nets::unit_tests::Linear50x100Double Class Reference

Test Fixture - layer of size 50x100, doubles, randomly sets all internal and external values required for numerical gradient verification. More...

#include <Linear_tests.hpp>

Inheritance diagram for mic::neural_nets::unit_tests::Linear50x100Double:

Collaboration diagram for mic::neural_nets::unit_tests::Linear50x100Double:

Public Member Functions
	Linear50x100Double ()

Protected Member Functions
virtual void	SetUp ()

Private Attributes
mic::mlnn::fully_connected::Linear < double >	layer
mic::types::MatrixPtr< double >	const_x
mic::types::MatrixPtr< double >	target_y
mic::neural_nets::loss::SquaredErrorLoss < double >	loss

Detailed Description

Test Fixture - layer of size 50x100, doubles, randomly sets all internal and external values required for numerical gradient verification.

Author

tkornuta

Definition at line 180 of file Linear_tests.hpp.

Constructor & Destructor Documentation

mic::neural_nets::unit_tests::Linear50x100Double::Linear50x100Double ( )

inline

Definition at line 183 of file Linear_tests.hpp.

References const_x, mic::mlnn::Layer< eT >::inputSize(), layer, mic::mlnn::Layer< eT >::outputSize(), and target_y.

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Member Function Documentation

virtual void mic::neural_nets::unit_tests::Linear50x100Double::SetUp ( )

inlineprotectedvirtual

Definition at line 190 of file Linear_tests.hpp.

References const_x, mic::mlnn::Layer< eT >::g, mic::mlnn::Layer< eT >::inputSize(), layer, mic::mlnn::Layer< eT >::outputSize(), mic::mlnn::Layer< eT >::p, mic::mlnn::Layer< eT >::s, and target_y.

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Member Data Documentation

mic::types::MatrixPtr<double> mic::neural_nets::unit_tests::Linear50x100Double::const_x

private

Definition at line 227 of file Linear_tests.hpp.

Referenced by Linear50x100Double(), and SetUp().

mic::mlnn::fully_connected::Linear<double> mic::neural_nets::unit_tests::Linear50x100Double::layer

private

Definition at line 224 of file Linear_tests.hpp.

Referenced by Linear50x100Double(), and SetUp().

mic::neural_nets::loss::SquaredErrorLoss<double> mic::neural_nets::unit_tests::Linear50x100Double::loss

private

Definition at line 233 of file Linear_tests.hpp.

mic::types::MatrixPtr<double> mic::neural_nets::unit_tests::Linear50x100Double::target_y

private

Definition at line 230 of file Linear_tests.hpp.

Referenced by Linear50x100Double(), and SetUp().

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The documentation for this class was generated from the following file:

• src/mlnn/fully_connected/Linear_tests.hpp