tensor_operations_on_host.h File Reference

Header file declaring tensor operations that happen on host. More...

#include <tensor.h>

Go to the source code of this file.

Functions
void	sumTensorOnHost (const Tensor &tensor, Tensor &destination)
	Sum all values of a tensor. More...
void	fillTensorOnHost (Tensor &tensor, float value)
	Fill a tensor with a constant value. More...
void	fillTensorOnHost (Tensor &tensor, const Tensor &value)
void	addTensorsOnHost (const Tensor &a, const Tensor &b, Tensor &destination)
	Element-wise add two tensors. More...
void	subtractTensorsOnHost (const Tensor &a, const Tensor &b, Tensor &destination)
	Subtract one tensor from another. More...
void	hadamardTensorsOnHost (const Tensor &a, const Tensor &b, Tensor &destination)
	Perform hadamard product (element-wise multiplication) between two tensors. More...
void	divideTensorsOnHost (const Tensor &a, const Tensor &b, Tensor &destination)
	Divide one tensor by another. More...
void	logTensorOnHost (const Tensor &a, Tensor &destination)
	Apply natural logarithm to each element of the tensor. More...
void	addBroadcastOnHost (const Tensor &matrix, const Tensor &vector, Tensor &destination)
	Perform the broadcast-add operation. More...
void	multiplyTensorOnHost (const Tensor &tensor, float constant, Tensor &destination)
	Multiply a tensor with a constant. More...
void	multiplyMatrixVectorOnHost (const Tensor &matrix, const Tensor &vector, Tensor &destination)
	Multiply a matrix with a vector. More...
void	multiplyMatrixMatrixOnHost (const Tensor &m1, const Tensor &m2, Tensor &destination)
	Multiply a matrix with a matrix. More...
void	transposeMatrixOnHost (const Tensor &matrix, Tensor &destination)
	Transpose a matrix. More...
void	reluTensorOnHost (const Tensor &tensor, Tensor &destination)
void	reluDerivativeTensorOnHost (const Tensor &tensor, Tensor &destination)
void	sigmoidTensorOnHost (const Tensor &tensor, Tensor &destination)

Detailed Description

Header file declaring tensor operations that happen on host.

The methods declared in this file are only called when all operands are located on the CPU.

These methods do not perform any checking with regards to the size or location of the operands. This is already done in the corresponding methods in tensor.cpp.

Author

Jan Warchocki

Date

29 August 2022

Function Documentation

addBroadcastOnHost()

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

Perform the broadcast-add operation.

Parameters

matrix	The matrix tensor.
vector	The vector tensor.
destination	Where the result of the addition should be stored.

addTensorsOnHost()

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

Element-wise add two tensors.

Parameters

a	The first tensor.
b	The second tensor.
destination	Where the result of the addition should be stored.

divideTensorsOnHost()

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

Divide one tensor by another.

Parameters

a	The tensor to divide.
b	The tensor to divide by.
destination	Where the result of the operation should be stored.

fillTensorOnHost()

void fillTensorOnHost	(	Tensor &	tensor,
		float	value
	)

Fill a tensor with a constant value.

Parameters

tensor	The tensor to fill.
value	The value to fill the tensor with.

hadamardTensorsOnHost()

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

Perform hadamard product (element-wise multiplication) between two tensors.

Parameters

a	The first tensor.
b	The second tensor.
destination	Where the result of the operation should be stored.

logTensorOnHost()

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

Apply natural logarithm to each element of the tensor.

Parameters

a	The tensor to apply natural logarithm to.
destination	Where the result of the operation should be stored.

multiplyMatrixMatrixOnHost()

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

Multiply a matrix with a matrix.

Parameters

m1	The first matrix tensor.
m2	The second matrix tensor.
destination	Where the result of the multiplication should be stored.

multiplyMatrixVectorOnHost()

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

Multiply a matrix with a vector.

Parameters

matrix	The matrix tensor.
vector	The vector tensor.
destination	Where the result of the multiplication should be stored.

multiplyTensorOnHost()

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

Multiply a tensor with a constant.

Parameters

tensor	The tensor to multiply.
constant	The constant to multiply with.
destination	Where the result of the multiplication should be stored.

subtractTensorsOnHost()

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

Subtract one tensor from another.

Parameters

a	The tensor to subtract from.
b	The tensor to be subtracted.
destination	Where the result of the subtraction should be stored.

sumTensorOnHost()

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

Sum all values of a tensor.

Parameters

tensor

The tensor to sum.

Returns

The sum of all values of a tensor.

transposeMatrixOnHost()

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

Transpose a matrix.

Parameters

matrix	The matrix vector to transpose.
destination	Where the result of the transpose operation should be stored.