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cudnnSpatial.go
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cudnnSpatial.go
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package gocudnn
/*
#include <cudnn.h>
*/
import "C"
import (
"runtime"
"unsafe"
"github.com/dereklstinson/cutil"
)
//SpatialTransformerD holdes the spatial descriptor
type SpatialTransformerD struct {
descriptor C.cudnnSpatialTransformerDescriptor_t
dims C.int
gogc bool
}
//GridGeneratorForward This function generates a grid of coordinates in the input tensor corresponding to each pixel from the output tensor.
func (s *SpatialTransformerD) GridGeneratorForward(
handle *Handle,
theta cutil.Mem, //Input. Affine transformation matrix. It should be of size n*2*3 for a 2d transformation, n is the number of images.
grid cutil.Mem, /*Output. A grid of coordinates. It is of size n*h*w*2 for a 2d transformation, where n,
h, w is specified in stDesc . In the 4th dimension, the first coordinate is x, and the
second coordinate is y*/
) error {
if handle.w != nil {
return handle.w.Work(func() error {
return Status(C.cudnnSpatialTfGridGeneratorForward(
handle.x,
s.descriptor,
theta.Ptr(),
grid.Ptr(),
)).error("(s *SpatialTransformerD) GridGeneratorForward")
})
}
return Status(C.cudnnSpatialTfGridGeneratorForward(
handle.x,
s.descriptor,
theta.Ptr(),
grid.Ptr(),
)).error("(s *SpatialTransformerD) GridGeneratorForward")
}
//GridGeneratorForwardUS is like GridGeneratorForward but uses unsafe.Pointer instead of cutil.Mem
func (s *SpatialTransformerD) GridGeneratorForwardUS(
handle *Handle,
theta unsafe.Pointer, //Input. Affine transformation matrix. It should be of size n*2*3 for a 2d transformation, n is the number of images.
grid unsafe.Pointer, /*Output. A grid of coordinates. It is of size n*h*w*2 for a 2d transformation, where n,
h, w is specified in stDesc . In the 4th dimension, the first coordinate is x, and the
second coordinate is y*/
) error {
if handle.w != nil {
return handle.w.Work(func() error {
return Status(C.cudnnSpatialTfGridGeneratorForward(
handle.x,
s.descriptor,
theta,
grid,
)).error("(s *SpatialTransformerD) GridGeneratorForwardUS")
})
}
return Status(C.cudnnSpatialTfGridGeneratorForward(
handle.x,
s.descriptor,
theta,
grid,
)).error("(s *SpatialTransformerD) GridGeneratorForwardUS")
}
//GridGeneratorBackward - This function generates a grid of coordinates in the input tensor corresponding to each pixel from the output tensor.
func (s *SpatialTransformerD) GridGeneratorBackward(
handle *Handle,
grid cutil.Mem,
theta cutil.Mem,
) error {
if handle.w != nil {
return handle.w.Work(func() error {
return Status(C.cudnnSpatialTfGridGeneratorBackward(
handle.x,
s.descriptor,
grid.Ptr(),
theta.Ptr(),
)).error("(s *SpatialTransformerD) GridGeneratorBackward")
})
}
return Status(C.cudnnSpatialTfGridGeneratorBackward(
handle.x,
s.descriptor,
grid.Ptr(),
theta.Ptr(),
)).error("(s *SpatialTransformerD) GridGeneratorBackward")
}
//GridGeneratorBackwardUS is like GridGeneratorBackward but uses unsafe.Pointer instead of cutil.Mem
func (s *SpatialTransformerD) GridGeneratorBackwardUS(
handle *Handle,
grid unsafe.Pointer,
theta unsafe.Pointer,
) error {
if handle.w != nil {
return handle.w.Work(func() error {
return Status(C.cudnnSpatialTfGridGeneratorBackward(
handle.x,
s.descriptor,
grid,
theta,
)).error("(s *SpatialTransformerD) GridGeneratorBackwardUS(")
})
}
return Status(C.cudnnSpatialTfGridGeneratorBackward(
handle.x,
s.descriptor,
grid,
theta,
)).error("(s *SpatialTransformerD) GridGeneratorBackwardUS(")
}
//SamplerForward performs the spatialtfsampleforward
func (s *SpatialTransformerD) SamplerForward(
handle *Handle,
alpha float64,
xD *TensorD, x cutil.Mem,
grid 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.cudnnSpatialTfSamplerForward(
handle.x,
s.descriptor,
a.CPtr(),
xD.descriptor,
x.Ptr(),
grid.Ptr(),
b.CPtr(),
yD.descriptor,
y.Ptr(),
)).error("(s *SpatialTransformerD) SamplerForward")
})
}
return Status(C.cudnnSpatialTfSamplerForward(
handle.x,
s.descriptor,
a.CPtr(),
xD.descriptor,
x.Ptr(),
grid.Ptr(),
b.CPtr(),
yD.descriptor,
y.Ptr(),
)).error("(s *SpatialTransformerD) SamplerForward")
}
//SamplerForwardUS is like SamplerForward but uses unsafe.Pointer instead of cutil.Mem
func (s *SpatialTransformerD) SamplerForwardUS(
handle *Handle,
alpha float64,
xD *TensorD, x unsafe.Pointer,
grid 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.cudnnSpatialTfSamplerForward(
handle.x,
s.descriptor,
a.CPtr(),
xD.descriptor, x,
grid,
b.CPtr(),
yD.descriptor, y,
)).error("(s *SpatialTransformerD) SamplerForwardUS")
})
}
return Status(C.cudnnSpatialTfSamplerForward(
handle.x,
s.descriptor,
a.CPtr(),
xD.descriptor, x,
grid,
b.CPtr(),
yD.descriptor, y,
)).error("(s *SpatialTransformerD) SamplerForwardUS")
}
//SamplerBackward does the spatial Tranform Sample Backward
func (s *SpatialTransformerD) SamplerBackward(
handle *Handle,
alpha float64,
xD *TensorD, x cutil.Mem,
beta float64,
dxD *TensorD, dx cutil.Mem,
alphaDgrid float64,
dyD *TensorD, dy cutil.Mem,
grid cutil.Mem,
betaDgrid float64,
dGrid cutil.Mem,
) error {
a := cscalarbydatatype(dyD.dtype, alpha)
b := cscalarbydatatype(dxD.dtype, beta)
ad := cscalarbydatatype(xD.dtype, alphaDgrid)
bd := cscalarbydatatype(dxD.dtype, betaDgrid)
if handle.w != nil {
return handle.w.Work(func() error {
return Status(C.cudnnSpatialTfSamplerBackward(
handle.x,
s.descriptor,
a.CPtr(),
xD.descriptor, x.Ptr(),
b.CPtr(),
dxD.descriptor, dx.Ptr(),
ad.CPtr(),
dyD.descriptor, dy.Ptr(),
grid.Ptr(),
bd.CPtr(),
dGrid.Ptr(),
)).error("(s *SpatialTransformerD) SamplerBackward")
})
}
return Status(C.cudnnSpatialTfSamplerBackward(
handle.x,
s.descriptor,
a.CPtr(),
xD.descriptor, x.Ptr(),
b.CPtr(),
dxD.descriptor, dx.Ptr(),
ad.CPtr(),
dyD.descriptor, dy.Ptr(),
grid.Ptr(),
bd.CPtr(),
dGrid.Ptr(),
)).error("(s *SpatialTransformerD) SamplerBackward")
}
//SamplerBackwardUS is like SamplerBackward but uses unsafe.Pointer instead of cutil.Mem
func (s *SpatialTransformerD) SamplerBackwardUS(
handle *Handle,
alpha float64,
xD *TensorD, x unsafe.Pointer,
beta float64,
dxD *TensorD, dx unsafe.Pointer,
alphaDgrid float64,
dyD *TensorD, dy unsafe.Pointer,
grid unsafe.Pointer,
betaDgrid float64,
dGrid unsafe.Pointer,
) error {
a := cscalarbydatatype(dyD.dtype, alpha)
b := cscalarbydatatype(dxD.dtype, beta)
ad := cscalarbydatatype(xD.dtype, alphaDgrid)
bd := cscalarbydatatype(dxD.dtype, betaDgrid)
if handle.w != nil {
return handle.w.Work(func() error {
return Status(C.cudnnSpatialTfSamplerBackward(
handle.x,
s.descriptor,
a.CPtr(),
xD.descriptor, x,
b.CPtr(),
dxD.descriptor, dx,
ad.CPtr(),
dyD.descriptor, dy,
grid,
bd.CPtr(),
dGrid,
)).error("(s *SpatialTransformerD) SamplerBackwardUS")
})
}
return Status(C.cudnnSpatialTfSamplerBackward(
handle.x,
s.descriptor,
a.CPtr(),
xD.descriptor, x,
b.CPtr(),
dxD.descriptor, dx,
ad.CPtr(),
dyD.descriptor, dy,
grid,
bd.CPtr(),
dGrid,
)).error("(s *SpatialTransformerD) SamplerBackwardUS")
}
/* APIs for spatial transformer network*/
//SamplerType is used for flags
type SamplerType C.cudnnSamplerType_t
//Bilinear sets s to SamplerType(C.CUDNN_SAMPLER_BILINEAR) and returns new value of s
func (s *SamplerType) Bilinear() SamplerType { *s = SamplerType(C.CUDNN_SAMPLER_BILINEAR); return *s }
func (s SamplerType) String() string {
f := s
var st string
switch s {
case f.Bilinear():
st = "Bilinear"
default:
st = "Unssuported Type"
}
return "SamplerType" + st
}
func (s SamplerType) c() C.cudnnSamplerType_t { return C.cudnnSamplerType_t(s) }
//CreateSpatialTransformerDescriptor creates the spacial tesnor
func CreateSpatialTransformerDescriptor() (*SpatialTransformerD, error) {
x := new(SpatialTransformerD)
err := Status(C.cudnnCreateSpatialTransformerDescriptor(&x.descriptor)).error("CreateSpatialTransformerDescriptor()")
if setfinalizer {
runtime.SetFinalizer(x, cudnnDestroySpatialTransformerDescriptor)
}
return x, err
}
//Set sets spacial to nd descriptor.
func (s *SpatialTransformerD) Set(sampler SamplerType, data DataType, dimA []int32) error {
dims := C.int(len(dimA))
cdimA := int32Tocint(dimA)
return Status(C.cudnnSetSpatialTransformerNdDescriptor(
s.descriptor,
sampler.c(),
data.c(),
dims,
&cdimA[0],
)).error("(s *SpatialTransformerD) Set")
}
//Destroy destroys the spatial Transformer Desctiptor. If GC is enable this function won't delete transformer. It will only return nil
//Since gc is automatically enabled this function is not functional.
func (s *SpatialTransformerD) Destroy() error {
if s.gogc || setfinalizer {
return nil
}
return cudnnDestroySpatialTransformerDescriptor(s)
}
func cudnnDestroySpatialTransformerDescriptor(s *SpatialTransformerD) error {
return Status(C.cudnnDestroySpatialTransformerDescriptor(s.descriptor)).error("DestroyDescriptor")
}