MachineIntelligenceCore:NeuralNets
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Linear_tests.hpp File Reference
#include <gtest/gtest.h>
#include <mlnn/fully_connected/Linear.hpp>
#include <loss/SquaredErrorLoss.hpp>
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Classes

class  mic::neural_nets::unit_tests::Linear1x1Float
 Test Fixture - layer of size 1x1, floats, sets W[0] = 1.0 and b[0] = 1.0. More...
 
class  mic::neural_nets::unit_tests::Linear5x2Float
 Test Fixture - layer of size 5x2, floats. More...
 
class  mic::neural_nets::unit_tests::Linear2x3Float
 Test Fixture - layer of size 2x3, floats, sets all internal and external values. More...
 
class  mic::neural_nets::unit_tests::Linear2x3Double
 Test Fixture - layer of size 2x3, doubles, sets all internal and external values. More...
 
class  mic::neural_nets::unit_tests::Linear50x100Double
 Test Fixture - layer of size 50x100, doubles, randomly sets all internal and external values required for numerical gradient verification. More...
 

Namespaces

 mic
 
 mic::neural_nets
 
 mic::neural_nets::unit_tests
 

Macros

#define private   public
 
#define protected   public
 

Detailed Description

Copyright (C) tkornuta, IBM Corporation 2015-2019

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

 http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

: Tomasz Kornuta tkorn.nosp@m.ut@u.nosp@m.s.ibm.nosp@m..com : Nov 4, 2016

Copyright (c) 2016, IBM Corporation. All rights reserved.

Definition in file Linear_tests.hpp.

Macro Definition Documentation

#define private   public

Definition at line 31 of file Linear_tests.hpp.

#define protected   public

Definition at line 32 of file Linear_tests.hpp.