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SoftNeuro® v5.2.0 C API Document
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Overview
C API (English)
Python API (English)
CLI
SoftNeuro® v5.2.0 C API Document
Overview
C API (English)
C API (English)
Top
Layer List
Layer List
abs
acos
acosh
adapt
adaptive_unit_scale
add
and
arg_max
asin
asinh
atan
atanh
ave_pool2
batch_norm
box_filter
broadcast
cast
ccc
ceil
clip
complex
concat
const
conv1
conv2
conv2t
cos
cosh
crop2
dcf
decode_centernet
decode_pelee
decode_ssd
decode_ulffd
decode_yolov3
decode_yolov4
dense
depth_to_space
depthwise_conv2
div
dropout
elu
equal
erf
exp
fast_guided_filter
fft2
fill
floor
gather
global_average_pool
global_max_pool
greater
greater_or_equal
instance_norm
leaky_relu
linspace
lrn
lstm
madd
maximum
max_pool2
mean
minimum
mul
neg
normalize
not
or
padding2
pass
permute
pow
prelu
priorbox
proposal
reciprocal
relu
reshape
resize
roi_align
roi_pool
rotate
round
rsqrt
separable_conv2
shape
sigmoid
sin
sinh
sink
size
slice
softmax
softplus
softsign
source
space_to_depth
sync
split
sqrt
sub
sum
tan
tanh
tensor_to_scalar
tile
tile
Table of contents
Parameters
transpose
unpool2
unsqueeze
zero_padding2
Modules
Modules
core
core.dll
core.env
dnn
dnn.binary
dnn.decomposer
dnn.device
dnn.param
dnn.prof
dnn.tensor
image
image_io
Data Structures
Data Structures
morapi_Binary
morapi_BinaryLib
morapi_Device
morapi_DeviceBuf
morapi_DeviceBufCB
morapi_DeviceCB
morapi_Dll
morapi_Dnn
morapi_DnnForward
morapi_DnnForwardArg
morapi_DnnLayer
morapi_DnnLayerCB
morapi_DnnLayerPlan
morapi_DnnNet
morapi_DnnNetPartition
morapi_DnnNetPlan
morapi_DnnOptimizer
morapi_DnnPlan
morapi_DnnProf
morapi_DnnRecipe
morapi_DnnRoutine
morapi_DnnRoutineCB
morapi_DnnRoutinePlan
morapi_DnnSchemaPlan
morapi_Env
morapi_Image
morapi_ImagePlane
morapi_Param
morapi_Params
morapi_Quant
morapi_Tensor
morapi_Tensors
Examples
Examples
test_decompose_api.c
test_dnn_api.c
test_prof_api.c
Python API (English)
CLI
Table of contents
Parameters
tile
A tile activation layer
Parameters
repeats
: Integers, numbers of repeat.