MyCaffe.common.Params< T > Class Template Reference

The Params contains the base parameters used in multi-GPU training. More...

Inheritance diagram for MyCaffe.common.Params< T >:

Public Member Functions
	Params (Solver< T > root_solver)
	The Param constructor. More...

Protected Attributes
long	m_lCount
	size of the buffers (in items). More...
long	m_lExtra
	size of the padding added to the memory buffers. More...
long	m_hData
	Handle to GPU memory containing the Net parameters. More...
long	m_hDiff
	Handle to GPU memory containing the Net gradient. More...
int	m_nDeviceID
	The Device ID. More...

Properties
long	count [get]
	Returns the size of the buffers (in items). More...
long	data [get]
	Returns the handle to the GPU memory containing the Net parameters. More...
long	diff [get]
	Returns the handle to the GPU memory containing the Net gradients. More...

Detailed Description

The Params contains the base parameters used in multi-GPU training.

Template Parameters

T	Specifies the base type float or double. Using float is recommended to conserve GPU memory.

Definition at line 18 of file Parallel.cs.

Constructor & Destructor Documentation

Params() [1/2]

MyCaffe.common.Params< T >.Params

(

)

Definition at line 11253 of file CudaDnn.cs.

Params() [2/2]

MyCaffe.common.Params< T >.Params

(

Solver< T >

root_solver

)

The Param constructor.

Parameters

root_solver

Specifies the root Solver.

Definition at line 47 of file Parallel.cs.

Member Data Documentation

m_hData

long MyCaffe.common.Params< T >.m_hData

protected

Handle to GPU memory containing the Net parameters.

Definition at line 33 of file Parallel.cs.

m_hDiff

long MyCaffe.common.Params< T >.m_hDiff

protected

Handle to GPU memory containing the Net gradient.

Definition at line 37 of file Parallel.cs.

m_lCount

long MyCaffe.common.Params< T >.m_lCount

protected

size of the buffers (in items).

Definition at line 23 of file Parallel.cs.

m_lExtra

long MyCaffe.common.Params< T >.m_lExtra

protected

size of the padding added to the memory buffers.

Definition at line 28 of file Parallel.cs.

m_nDeviceID

int MyCaffe.common.Params< T >.m_nDeviceID

protected

The Device ID.

Definition at line 41 of file Parallel.cs.

Property Documentation

count

long MyCaffe.common.Params< T >.count

get

Returns the size of the buffers (in items).

Definition at line 60 of file Parallel.cs.

data

long MyCaffe.common.Params< T >.data

get

Returns the handle to the GPU memory containing the Net parameters.

Definition at line 68 of file Parallel.cs.

diff

long MyCaffe.common.Params< T >.diff

get

Returns the handle to the GPU memory containing the Net gradients.

Definition at line 76 of file Parallel.cs.

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

• C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/common/CudaDnn.cs
• C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe/common/Parallel.cs