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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 broadcast
    Table of contents
    
    Parameter
  - 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
  - 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
- Examples
  Examples
Python API (English)
CLI

Table of contents

Parameter

broadcast

Broadcast

This layer broadcasts an input tensor. The number of inputs must 1.

Parameter

shape : Integers, target shape.

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