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cudnnPooling.go
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package gocudnn
/*
#include <cudnn.h>
*/
import "C"
import (
"fmt"
"runtime"
"unsafe"
"github.com/dereklstinson/cutil"
)
//PoolingD handles the pooling descriptor
type PoolingD struct {
descriptor C.cudnnPoolingDescriptor_t
dims C.int
gogc bool
}
//CreatePoolingDescriptor creates a pooling descriptor.
func CreatePoolingDescriptor() (*PoolingD, error) {
p := new(PoolingD)
err := Status(C.cudnnCreatePoolingDescriptor(&p.descriptor)).error("NewPooling2dDescriptor-create")
if setfinalizer || p.gogc {
runtime.SetFinalizer(p, destroypoolingdescriptor)
}
return p, err
}
//Set sets pooling descriptor to values passed
func (p *PoolingD) Set(mode PoolingMode, nan NANProp, window, padding, stride []int32) error {
cwindow := int32Tocint(window)
cpadding := int32Tocint(padding)
cstride := int32Tocint(stride)
p.dims = (C.int)(len(window))
return Status(C.cudnnSetPoolingNdDescriptor(
p.descriptor,
mode.c(),
nan.c(),
p.dims,
&cwindow[0],
&cpadding[0],
&cstride[0],
)).error("(p *PoolingD) Set")
}
//Get gets the descriptor values for pooling
func (p *PoolingD) Get() (mode PoolingMode, nan NANProp, window, padding, stride []int32, err error) {
windowc := make([]C.int, p.dims)
paddingc := make([]C.int, p.dims)
stridec := make([]C.int, p.dims)
var actual C.int
err = Status(C.cudnnGetPoolingNdDescriptor(
p.descriptor,
p.dims,
mode.cptr(),
nan.cptr(),
&actual,
&windowc[0],
&paddingc[0],
&stridec[0],
)).error("(p *PoolingD) Get()")
window, padding, stride = cintToint32(windowc), cintToint32(paddingc), cintToint32(stridec)
return mode, nan, window, padding, stride, err
}
func (p *PoolingD) String() string {
mode, nan, w, pad, s, err := p.Get()
if err != nil {
return fmt.Sprintf("PoolingD{\nError: %v\n}\n", err)
}
return fmt.Sprintf("PoolingD{\n%v,\n%v,\nWindow: %v,\nPadding: %v,\nStride: %v,\n}\n", mode, nan, w, pad, s)
}
//GetOutputDims will return the forward output dims from the pooling desc, and the tensor passed
//For NHWC gocudnn will take the cudnn dims (which are in NCHW) and convert it to NHWC.
func (p *PoolingD) GetOutputDims(
input *TensorD,
) ([]int32, error) {
outputdims := make([]C.int, input.dims)
err := Status(C.cudnnGetPoolingNdForwardOutputDim(
p.descriptor,
input.descriptor,
input.dims,
&outputdims[0],
)).error("(p *PoolingD) GetOutputDims")
fflg := input.frmt
switch input.frmt {
case fflg.NHWC():
return compatabilityNHWCdimsCudnntoGocudnn(cintToint32(outputdims)), err
}
return cintToint32(outputdims), err
}
//Destroy destroys the pooling descriptor.
//
//Right now gocudnn is handle by the go GC exclusivly, but sometime in the future
//user of package will be be able to toggle it.
func (p *PoolingD) Destroy() error {
if setfinalizer || p.gogc {
return nil
}
return destroypoolingdescriptor(p)
}
func destroypoolingdescriptor(p *PoolingD) error {
return Status(C.cudnnDestroyPoolingDescriptor(p.descriptor)).error("DestroyDescriptor")
}
/* Pooling functions: All of the form "output = alpha * Op(inputs) + beta * output" */
//Forward does the poolingForward operation
func (p *PoolingD) Forward(
handle *Handle,
alpha float64,
xD *TensorD, x cutil.Mem,
beta float64,
yD *TensorD, y cutil.Mem,
) error {
a := cscalarbydatatype(xD.dtype, alpha)
b := cscalarbydatatype(yD.dtype, beta)
if handle.w != nil {
return handle.w.Work(func() error {
return Status(C.cudnnPoolingForward(
handle.x,
p.descriptor,
a.CPtr(),
xD.descriptor,
x.Ptr(),
b.CPtr(),
yD.descriptor,
y.Ptr(),
)).error("(p *PoolingD) Forward")
})
}
return Status(C.cudnnPoolingForward(
handle.x,
p.descriptor,
a.CPtr(),
xD.descriptor,
x.Ptr(),
b.CPtr(),
yD.descriptor,
y.Ptr(),
)).error("(p *PoolingD) Forward")
}
//ForwardUS is like Forward but uses unsafe.Pointer instead of cutil.Mem
func (p *PoolingD) ForwardUS(
handle *Handle,
alpha float64,
xD *TensorD, x unsafe.Pointer,
beta float64,
yD *TensorD, y unsafe.Pointer,
) error {
a := cscalarbydatatype(xD.dtype, alpha)
b := cscalarbydatatype(yD.dtype, beta)
if handle.w != nil {
return handle.w.Work(func() error {
return Status(C.cudnnPoolingForward(
handle.x,
p.descriptor,
a.CPtr(),
xD.descriptor, x,
b.CPtr(),
yD.descriptor, y,
)).error("(p *PoolingD) ForwardUS")
})
}
return Status(C.cudnnPoolingForward(
handle.x,
p.descriptor,
a.CPtr(),
xD.descriptor, x,
b.CPtr(),
yD.descriptor, y,
)).error("(p *PoolingD) ForwardUS")
}
//Backward does the backward pooling operation
func (p *PoolingD) Backward(
handle *Handle,
alpha float64,
yD *TensorD, y cutil.Mem,
dyD *TensorD, dy cutil.Mem,
xD *TensorD, x cutil.Mem,
beta float64,
dxD *TensorD, dx cutil.Mem,
) error {
a := cscalarbydatatype(xD.dtype, alpha)
b := cscalarbydatatype(yD.dtype, beta)
if handle.w != nil {
return handle.w.Work(func() error {
return Status(C.cudnnPoolingBackward(handle.x,
p.descriptor,
a.CPtr(),
yD.descriptor, y.Ptr(),
dyD.descriptor, dy.Ptr(),
xD.descriptor, x.Ptr(),
b.CPtr(),
dxD.descriptor, dx.Ptr())).error(" (p *PoolingD) Backward")
})
}
return Status(C.cudnnPoolingBackward(handle.x,
p.descriptor,
a.CPtr(),
yD.descriptor, y.Ptr(),
dyD.descriptor, dy.Ptr(),
xD.descriptor, x.Ptr(),
b.CPtr(),
dxD.descriptor, dx.Ptr())).error(" (p *PoolingD) Backward")
}
//BackwardUS is like Backward but uses unsafe.Pointer instead of cutil.Mem
func (p *PoolingD) BackwardUS(
handle *Handle,
alpha float64,
yD *TensorD, y unsafe.Pointer,
dyD *TensorD, dy unsafe.Pointer,
xD *TensorD, x unsafe.Pointer,
beta float64,
dxD *TensorD, dx unsafe.Pointer,
) error {
a := cscalarbydatatype(xD.dtype, alpha)
b := cscalarbydatatype(yD.dtype, beta)
if handle.w != nil {
return handle.w.Work(func() error {
return Status(C.cudnnPoolingBackward(handle.x,
p.descriptor,
a.CPtr(),
yD.descriptor, y,
dyD.descriptor, dy,
xD.descriptor, x,
b.CPtr(),
dxD.descriptor, dx)).error("p *PoolingD) BackwardUS")
})
}
return Status(C.cudnnPoolingBackward(handle.x,
p.descriptor,
a.CPtr(),
yD.descriptor, y,
dyD.descriptor, dy,
xD.descriptor, x,
b.CPtr(),
dxD.descriptor, dx)).error("p *PoolingD) BackwardUS")
}
/*
* pooling mode
*/
//PoolingMode is used for flags in pooling
type PoolingMode C.cudnnPoolingMode_t
//Max returns PoolingMode(C.CUDNN_POOLING_MAX) flag
//
//The maximum value inside the pooling window is used.
func (p *PoolingMode) Max() PoolingMode { *p = PoolingMode(C.CUDNN_POOLING_MAX); return *p }
//AverageCountIncludePadding returns PoolingMode(C.CUDNN_POOLING_AVERAGE_COUNT_INCLUDE_PADDING) flag
//
//Values inside the pooling window are averaged.
//The number of elements used to calculate the average
//includes spatial locations falling in the padding region.
func (p *PoolingMode) AverageCountIncludePadding() PoolingMode {
*p = PoolingMode(C.CUDNN_POOLING_AVERAGE_COUNT_INCLUDE_PADDING)
return *p
}
//AverageCountExcludePadding returns PoolingMode(C.CUDNN_POOLING_AVERAGE_COUNT_EXCLUDE_PADDING) flag
//
//Values inside the pooling window are averaged.
//The number of elements used to calculate the average
//excludes spatial locations falling in the padding region.
func (p *PoolingMode) AverageCountExcludePadding() PoolingMode {
*p = PoolingMode(C.CUDNN_POOLING_AVERAGE_COUNT_EXCLUDE_PADDING)
return *p
}
//MaxDeterministic returns PoolingMode(C.CUDNN_POOLING_MAX_DETERMINISTIC) flag
//
//The maximum value inside the pooling window is used.
//The algorithm used is deterministic.
func (p *PoolingMode) MaxDeterministic() PoolingMode {
*p = PoolingMode(C.CUDNN_POOLING_MAX_DETERMINISTIC)
return *p
}
func (p PoolingMode) c() C.cudnnPoolingMode_t { return C.cudnnPoolingMode_t(p) }
func (p *PoolingMode) cptr() *C.cudnnPoolingMode_t { return (*C.cudnnPoolingMode_t)(p) }
func (p PoolingMode) String() string {
var x string
f := p
switch p {
case f.AverageCountExcludePadding():
x = "AverageCountExcludePadding"
case f.AverageCountIncludePadding():
x = "AverageCountIncludePadding"
case f.Max():
x = "Max"
case f.MaxDeterministic():
x = "MaxDeterministic"
default:
x = "Unsupported Flag"
}
return "PoolingMode" + x
}