nnlib/tensor__operations__on__host_8h_source.html

 #ifndef NNLIB_TENSOR_OPERATIONS_ON_HOST_H

 #define NNLIB_TENSOR_OPERATIONS_ON_HOST_H


 #include <tensor.h>


 void sumTensorOnHost(const Tensor& tensor, Tensor& destination);


 void fillTensorOnHost(Tensor& tensor, float value);


 void fillTensorOnHost(Tensor& tensor, const Tensor& value);


 void addTensorsOnHost(const Tensor& a, const Tensor& b, Tensor& destination);


 void subtractTensorsOnHost(const Tensor& a, const Tensor& b, Tensor& destination);


 void hadamardTensorsOnHost(const Tensor& a, const Tensor& b, Tensor& destination);


 void divideTensorsOnHost(const Tensor& a, const Tensor& b, Tensor& destination);


 void logTensorOnHost(const Tensor& a, Tensor& destination);


 void addBroadcastOnHost(const Tensor& matrix, const Tensor& vector, Tensor& destination);


 void multiplyTensorOnHost(const Tensor& tensor, float constant, Tensor& destination);


 void multiplyMatrixVectorOnHost(const Tensor& matrix, const Tensor& vector, Tensor& destination);


 void multiplyMatrixMatrixOnHost(const Tensor& m1, const Tensor& m2, Tensor& destination);


 void transposeMatrixOnHost(const Tensor& matrix, Tensor& destination);


 void reluTensorOnHost(const Tensor& tensor, Tensor& destination);

 void reluDerivativeTensorOnHost(const Tensor& tensor, Tensor& destination);


 void sigmoidTensorOnHost(const Tensor& tensor, Tensor& destination);


 #endif //NNLIB_TENSOR_OPERATIONS_ON_HOST_H

Tensor
Class to represent multidimensional arrays.
Definition: tensor.h:26

tensor.h
Header file declaring the Tensor class to represent multidimensional arrays.

addBroadcastOnHost
void addBroadcastOnHost(const Tensor &matrix, const Tensor &vector, Tensor &destination)
Perform the broadcast-add operation.
Definition: tensor_operations_on_host.cpp:189

logTensorOnHost
void logTensorOnHost(const Tensor &a, Tensor &destination)
Apply natural logarithm to each element of the tensor.
Definition: tensor_operations_on_host.cpp:183

multiplyTensorOnHost
void multiplyTensorOnHost(const Tensor &tensor, float constant, Tensor &destination)
Multiply a tensor with a constant.
Definition: tensor_operations_on_host.cpp:213

fillTensorOnHost
void fillTensorOnHost(Tensor &tensor, float value)
Fill a tensor with a constant value.
Definition: tensor_operations_on_host.cpp:73

addTensorsOnHost
void addTensorsOnHost(const Tensor &a, const Tensor &b, Tensor &destination)
Element-wise add two tensors.
Definition: tensor_operations_on_host.cpp:106

divideTensorsOnHost
void divideTensorsOnHost(const Tensor &a, const Tensor &b, Tensor &destination)
Divide one tensor by another.
Definition: tensor_operations_on_host.cpp:164

multiplyMatrixMatrixOnHost
void multiplyMatrixMatrixOnHost(const Tensor &m1, const Tensor &m2, Tensor &destination)
Multiply a matrix with a matrix.
Definition: tensor_operations_on_host.cpp:348

sumTensorOnHost
void sumTensorOnHost(const Tensor &tensor, Tensor &destination)
Sum all values of a tensor.
Definition: tensor_operations_on_host.cpp:51

transposeMatrixOnHost
void transposeMatrixOnHost(const Tensor &matrix, Tensor &destination)
Transpose a matrix.
Definition: tensor_operations_on_host.cpp:374

hadamardTensorsOnHost
void hadamardTensorsOnHost(const Tensor &a, const Tensor &b, Tensor &destination)
Perform hadamard product (element-wise multiplication) between two tensors.
Definition: tensor_operations_on_host.cpp:144

multiplyMatrixVectorOnHost
void multiplyMatrixVectorOnHost(const Tensor &matrix, const Tensor &vector, Tensor &destination)
Multiply a matrix with a vector.
Definition: tensor_operations_on_host.cpp:232

subtractTensorsOnHost
void subtractTensorsOnHost(const Tensor &a, const Tensor &b, Tensor &destination)
Subtract one tensor from another.
Definition: tensor_operations_on_host.cpp:125