mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float Class Reference

Test Fixture - layer of input size 4x4x1 and with filter bank of 1 filters of size 2x2 with stride 2, floats. Math example taken from my own YET ANOTHER calculations! ech! More...

#include <Convolution_tests.hpp>

Inheritance diagram for mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float:

Collaboration diagram for mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float:

Public Member Functions
	Conv4x4x1Filter1x2x2s2Float ()

Protected Member Functions
virtual void	SetUp ()

Private Attributes
mic::mlnn::convolution::Convolution < float >	layer
	Object to be tested. More...
mic::types::MatrixPtr< float >	x
	Test x - used in forward pass. More...
mic::types::MatrixPtr< float >	desired_y
	Desired output for a given x. More...
mic::types::MatrixPtr< float >	dy
	Gradient passed to backpropagation. More...
mic::types::MatrixPtr< float >	desired_dx
	Desired gradient dx from backpropagation. More...
mic::types::MatrixPtr< float >	desired_dW
	Desired gradient dW from backpropagation. More...
mic::types::MatrixPtr< float >	desired_db
	Desired gradient db from backpropagation. More...

Detailed Description

Test Fixture - layer of input size 4x4x1 and with filter bank of 1 filters of size 2x2 with stride 2, floats. Math example taken from my own YET ANOTHER calculations! ech!

Author

tkornuta

Definition at line 173 of file Convolution_tests.hpp.

Constructor & Destructor Documentation

mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float::Conv4x4x1Filter1x2x2s2Float ( )

inline

Definition at line 176 of file Convolution_tests.hpp.

References desired_db, desired_dW, desired_dx, desired_y, dy, and x.

Member Function Documentation

virtual void mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float::SetUp ( )

inlineprotectedvirtual

Definition at line 193 of file Convolution_tests.hpp.

References layer, and mic::mlnn::Layer< eT >::p.

Member Data Documentation

mic::types::MatrixPtr<float> mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float::desired_db

private

Desired gradient db from backpropagation.

Definition at line 229 of file Convolution_tests.hpp.

Referenced by Conv4x4x1Filter1x2x2s2Float().

mic::types::MatrixPtr<float> mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float::desired_dW

private

Desired gradient dW from backpropagation.

Definition at line 226 of file Convolution_tests.hpp.

Referenced by Conv4x4x1Filter1x2x2s2Float().

mic::types::MatrixPtr<float> mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float::desired_dx

private

Desired gradient dx from backpropagation.

Definition at line 223 of file Convolution_tests.hpp.

Referenced by Conv4x4x1Filter1x2x2s2Float().

mic::types::MatrixPtr<float> mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float::desired_y

private

Desired output for a given x.

Definition at line 217 of file Convolution_tests.hpp.

Referenced by Conv4x4x1Filter1x2x2s2Float().

mic::types::MatrixPtr<float> mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float::dy

private

Gradient passed to backpropagation.

Definition at line 220 of file Convolution_tests.hpp.

Referenced by Conv4x4x1Filter1x2x2s2Float().

mic::mlnn::convolution::Convolution<float> mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float::layer

private

Object to be tested.

Definition at line 211 of file Convolution_tests.hpp.

Referenced by SetUp().

mic::types::MatrixPtr<float> mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float::x

private

Test x - used in forward pass.

Definition at line 214 of file Convolution_tests.hpp.

Referenced by Conv4x4x1Filter1x2x2s2Float().

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

• src/mlnn/convolution/Convolution_tests.hpp