mxnet
Namespaces | Enumerations | Functions
op.h File Reference

definition of all the operators More...

#include <string>
#include <vector>
#include "mxnet-cpp/base.h"
#include "mxnet-cpp/shape.h"
#include "mxnet-cpp/op_util.h"
#include "mxnet-cpp/operator.h"
#include "dmlc/optional.h"
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Namespaces

 mxnet
 namespace of mxnet
 
 mxnet::cpp
 

Enumerations

enum  mxnet::cpp::PickMode { mxnet::cpp::PickMode::kClip = 0, mxnet::cpp::PickMode::kWrap = 1 }
 
enum  mxnet::cpp::DotForwardStype { mxnet::cpp::DotForwardStype::kNone = 0, mxnet::cpp::DotForwardStype::kCsr = 1, mxnet::cpp::DotForwardStype::kDefault = 2, mxnet::cpp::DotForwardStype::kRow_sparse = 3 }
 
enum  mxnet::cpp::Batch_dotForwardStype { mxnet::cpp::Batch_dotForwardStype::kNone = 0, mxnet::cpp::Batch_dotForwardStype::kCsr = 1, mxnet::cpp::Batch_dotForwardStype::kDefault = 2, mxnet::cpp::Batch_dotForwardStype::kRow_sparse = 3 }
 
enum  mxnet::cpp::CastDtype {
  mxnet::cpp::CastDtype::kFloat16 = 0, mxnet::cpp::CastDtype::kFloat32 = 1, mxnet::cpp::CastDtype::kFloat64 = 2, mxnet::cpp::CastDtype::kInt32 = 3,
  mxnet::cpp::CastDtype::kInt64 = 4, mxnet::cpp::CastDtype::kInt8 = 5, mxnet::cpp::CastDtype::kUint8 = 6
}
 
enum  mxnet::cpp::TopkRetTyp { mxnet::cpp::TopkRetTyp::kBoth = 0, mxnet::cpp::TopkRetTyp::kIndices = 1, mxnet::cpp::TopkRetTyp::kMask = 2, mxnet::cpp::TopkRetTyp::kValue = 3 }
 
enum  mxnet::cpp::TopkDtype {
  mxnet::cpp::TopkDtype::kFloat16 = 0, mxnet::cpp::TopkDtype::kFloat32 = 1, mxnet::cpp::TopkDtype::kFloat64 = 2, mxnet::cpp::TopkDtype::kInt32 = 3,
  mxnet::cpp::TopkDtype::kUint8 = 4
}
 
enum  mxnet::cpp::ArgsortDtype {
  mxnet::cpp::ArgsortDtype::kFloat16 = 0, mxnet::cpp::ArgsortDtype::kFloat32 = 1, mxnet::cpp::ArgsortDtype::kFloat64 = 2, mxnet::cpp::ArgsortDtype::kInt32 = 3,
  mxnet::cpp::ArgsortDtype::kUint8 = 4
}
 
enum  mxnet::cpp::EmbeddingDtype {
  mxnet::cpp::EmbeddingDtype::kFloat16 = 0, mxnet::cpp::EmbeddingDtype::kFloat32 = 1, mxnet::cpp::EmbeddingDtype::kFloat64 = 2, mxnet::cpp::EmbeddingDtype::kInt32 = 3,
  mxnet::cpp::EmbeddingDtype::kInt64 = 4, mxnet::cpp::EmbeddingDtype::kInt8 = 5, mxnet::cpp::EmbeddingDtype::kUint8 = 6
}
 
enum  mxnet::cpp::TakeMode { mxnet::cpp::TakeMode::kClip = 0, mxnet::cpp::TakeMode::kRaise = 1, mxnet::cpp::TakeMode::kWrap = 2 }
 
enum  mxnet::cpp::One_hotDtype {
  mxnet::cpp::One_hotDtype::kFloat16 = 0, mxnet::cpp::One_hotDtype::kFloat32 = 1, mxnet::cpp::One_hotDtype::kFloat64 = 2, mxnet::cpp::One_hotDtype::kInt32 = 3,
  mxnet::cpp::One_hotDtype::kInt64 = 4, mxnet::cpp::One_hotDtype::kInt8 = 5, mxnet::cpp::One_hotDtype::kUint8 = 6
}
 
enum  mxnet::cpp::Cast_storageStype { mxnet::cpp::Cast_storageStype::kCsr = 0, mxnet::cpp::Cast_storageStype::kDefault = 1, mxnet::cpp::Cast_storageStype::kRow_sparse = 2 }
 
enum  mxnet::cpp::PoolingPoolType { mxnet::cpp::PoolingPoolType::kAvg = 0, mxnet::cpp::PoolingPoolType::kLp = 1, mxnet::cpp::PoolingPoolType::kMax = 2, mxnet::cpp::PoolingPoolType::kSum = 3 }
 
enum  mxnet::cpp::PoolingPoolingConvention { mxnet::cpp::PoolingPoolingConvention::kFull = 0, mxnet::cpp::PoolingPoolingConvention::kSame = 1, mxnet::cpp::PoolingPoolingConvention::kValid = 2 }
 
enum  mxnet::cpp::DeconvolutionCudnnTune { mxnet::cpp::DeconvolutionCudnnTune::kNone = 0, mxnet::cpp::DeconvolutionCudnnTune::kFastest = 1, mxnet::cpp::DeconvolutionCudnnTune::kLimited_workspace = 2, mxnet::cpp::DeconvolutionCudnnTune::kOff = 3 }
 
enum  mxnet::cpp::DeconvolutionLayout {
  mxnet::cpp::DeconvolutionLayout::kNone = 0, mxnet::cpp::DeconvolutionLayout::kNCDHW = 1, mxnet::cpp::DeconvolutionLayout::kNCHW = 2, mxnet::cpp::DeconvolutionLayout::kNCW = 3,
  mxnet::cpp::DeconvolutionLayout::kNDHWC = 4, mxnet::cpp::DeconvolutionLayout::kNHWC = 5
}
 
enum  mxnet::cpp::ActivationActType {
  mxnet::cpp::ActivationActType::kRelu = 0, mxnet::cpp::ActivationActType::kSigmoid = 1, mxnet::cpp::ActivationActType::kSoftrelu = 2, mxnet::cpp::ActivationActType::kSoftsign = 3,
  mxnet::cpp::ActivationActType::kTanh = 4
}
 
enum  mxnet::cpp::CTCLossBlankLabel { mxnet::cpp::CTCLossBlankLabel::kFirst = 0, mxnet::cpp::CTCLossBlankLabel::kLast = 1 }
 
enum  mxnet::cpp::ConvolutionCudnnTune { mxnet::cpp::ConvolutionCudnnTune::kNone = 0, mxnet::cpp::ConvolutionCudnnTune::kFastest = 1, mxnet::cpp::ConvolutionCudnnTune::kLimited_workspace = 2, mxnet::cpp::ConvolutionCudnnTune::kOff = 3 }
 
enum  mxnet::cpp::ConvolutionLayout {
  mxnet::cpp::ConvolutionLayout::kNone = 0, mxnet::cpp::ConvolutionLayout::kNCDHW = 1, mxnet::cpp::ConvolutionLayout::kNCHW = 2, mxnet::cpp::ConvolutionLayout::kNCW = 3,
  mxnet::cpp::ConvolutionLayout::kNDHWC = 4, mxnet::cpp::ConvolutionLayout::kNHWC = 5
}
 
enum  mxnet::cpp::UpSamplingSampleType { mxnet::cpp::UpSamplingSampleType::kBilinear = 0, mxnet::cpp::UpSamplingSampleType::kNearest = 1 }
 
enum  mxnet::cpp::UpSamplingMultiInputMode { mxnet::cpp::UpSamplingMultiInputMode::kConcat = 0, mxnet::cpp::UpSamplingMultiInputMode::kSum = 1 }
 
enum  mxnet::cpp::DropoutMode { mxnet::cpp::DropoutMode::kAlways = 0, mxnet::cpp::DropoutMode::kTraining = 1 }
 
enum  mxnet::cpp::SoftmaxActivationMode { mxnet::cpp::SoftmaxActivationMode::kChannel = 0, mxnet::cpp::SoftmaxActivationMode::kInstance = 1 }
 
enum  mxnet::cpp::PadMode { mxnet::cpp::PadMode::kConstant = 0, mxnet::cpp::PadMode::kEdge = 1, mxnet::cpp::PadMode::kReflect = 2 }
 
enum  mxnet::cpp::LeakyReLUActType {
  mxnet::cpp::LeakyReLUActType::kElu = 0, mxnet::cpp::LeakyReLUActType::kLeaky = 1, mxnet::cpp::LeakyReLUActType::kPrelu = 2, mxnet::cpp::LeakyReLUActType::kRrelu = 3,
  mxnet::cpp::LeakyReLUActType::kSelu = 4
}
 
enum  mxnet::cpp::GridGeneratorTransformType { mxnet::cpp::GridGeneratorTransformType::kAffine = 0, mxnet::cpp::GridGeneratorTransformType::kWarp = 1 }
 
enum  mxnet::cpp::Pooling_v1PoolType { mxnet::cpp::Pooling_v1PoolType::kAvg = 0, mxnet::cpp::Pooling_v1PoolType::kMax = 1, mxnet::cpp::Pooling_v1PoolType::kSum = 2 }
 
enum  mxnet::cpp::Pooling_v1PoolingConvention { mxnet::cpp::Pooling_v1PoolingConvention::kFull = 0, mxnet::cpp::Pooling_v1PoolingConvention::kValid = 1 }
 
enum  mxnet::cpp::RNNMode { mxnet::cpp::RNNMode::kGru = 0, mxnet::cpp::RNNMode::kLstm = 1, mxnet::cpp::RNNMode::kRnn_relu = 2, mxnet::cpp::RNNMode::kRnn_tanh = 3 }
 
enum  mxnet::cpp::Convolution_v1CudnnTune { mxnet::cpp::Convolution_v1CudnnTune::kNone = 0, mxnet::cpp::Convolution_v1CudnnTune::kFastest = 1, mxnet::cpp::Convolution_v1CudnnTune::kLimited_workspace = 2, mxnet::cpp::Convolution_v1CudnnTune::kOff = 3 }
 
enum  mxnet::cpp::Convolution_v1Layout {
  mxnet::cpp::Convolution_v1Layout::kNone = 0, mxnet::cpp::Convolution_v1Layout::kNCDHW = 1, mxnet::cpp::Convolution_v1Layout::kNCHW = 2, mxnet::cpp::Convolution_v1Layout::kNDHWC = 3,
  mxnet::cpp::Convolution_v1Layout::kNHWC = 4
}
 
enum  mxnet::cpp::SpatialTransformerTransformType { mxnet::cpp::SpatialTransformerTransformType::kAffine = 0 }
 
enum  mxnet::cpp::SpatialTransformerSamplerType { mxnet::cpp::SpatialTransformerSamplerType::kBilinear = 0 }
 
enum  mxnet::cpp::SoftmaxOutputNormalization { mxnet::cpp::SoftmaxOutputNormalization::kBatch = 0, mxnet::cpp::SoftmaxOutputNormalization::kNull = 1, mxnet::cpp::SoftmaxOutputNormalization::kValid = 2 }
 
enum  mxnet::cpp::SoftmaxNormalization { mxnet::cpp::SoftmaxNormalization::kBatch = 0, mxnet::cpp::SoftmaxNormalization::kNull = 1, mxnet::cpp::SoftmaxNormalization::kValid = 2 }
 
enum  mxnet::cpp::L2NormalizationMode { mxnet::cpp::L2NormalizationMode::kChannel = 0, mxnet::cpp::L2NormalizationMode::kInstance = 1, mxnet::cpp::L2NormalizationMode::kSpatial = 2 }
 
enum  mxnet::cpp::MakeLossNormalization { mxnet::cpp::MakeLossNormalization::kBatch = 0, mxnet::cpp::MakeLossNormalization::kNull = 1, mxnet::cpp::MakeLossNormalization::kValid = 2 }
 

Functions

Symbol mxnet::cpp::khatri_rao (const std::string &symbol_name, const std::vector< Symbol > &args)
 
Symbol mxnet::cpp::Custom (const std::string &symbol_name, const std::vector< Symbol > &data, const std::string &op_type)
 
Symbol mxnet::cpp::broadcast_power (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_maximum (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_minimum (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_hypot (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::Reshape (const std::string &symbol_name, Symbol data, Shape shape=Shape(), bool reverse=false, Shape target_shape=Shape(), bool keep_highest=false)
 
Symbol mxnet::cpp::Flatten (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::transpose (const std::string &symbol_name, Symbol data, Shape axes=Shape())
 
Symbol mxnet::cpp::expand_dims (const std::string &symbol_name, Symbol data, int axis)
 
Symbol mxnet::cpp::slice (const std::string &symbol_name, Symbol data, Shape begin, Shape end, Shape step=Shape())
 
Symbol mxnet::cpp::slice_axis (const std::string &symbol_name, Symbol data, int axis, int begin, dmlc::optional< int > end)
 
Symbol mxnet::cpp::slice_like (const std::string &symbol_name, Symbol data, Symbol shape_like, Shape axes=Shape())
 
Symbol mxnet::cpp::clip (const std::string &symbol_name, Symbol data, mx_float a_min, mx_float a_max)
 
Symbol mxnet::cpp::repeat (const std::string &symbol_name, Symbol data, int repeats, dmlc::optional< int > axis=dmlc::optional< int >())
 
Symbol mxnet::cpp::tile (const std::string &symbol_name, Symbol data, Shape reps)
 
Symbol mxnet::cpp::reverse (const std::string &symbol_name, Symbol data, Shape axis)
 
Symbol mxnet::cpp::stack (const std::string &symbol_name, const std::vector< Symbol > &data, int num_args, int axis=0)
 
Symbol mxnet::cpp::squeeze (const std::string &symbol_name, const std::vector< Symbol > &data, dmlc::optional< Shape > axis=dmlc::optional< Shape >())
 
Symbol mxnet::cpp::depth_to_space (const std::string &symbol_name, Symbol data, int block_size)
 
Symbol mxnet::cpp::space_to_depth (const std::string &symbol_name, Symbol data, int block_size)
 
Symbol mxnet::cpp::zeros_like (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::ones_like (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::add_n (const std::string &symbol_name, const std::vector< Symbol > &args)
 
Symbol mxnet::cpp::argmax (const std::string &symbol_name, Symbol data, dmlc::optional< int > axis=dmlc::optional< int >(), bool keepdims=false)
 
Symbol mxnet::cpp::argmin (const std::string &symbol_name, Symbol data, dmlc::optional< int > axis=dmlc::optional< int >(), bool keepdims=false)
 
Symbol mxnet::cpp::argmax_channel (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::pick (const std::string &symbol_name, Symbol data, Symbol index, dmlc::optional< int > axis=dmlc::optional< int >(-1), bool keepdims=false, PickMode mode=PickMode::kClip)
 
Symbol mxnet::cpp::dot (const std::string &symbol_name, Symbol lhs, Symbol rhs, bool transpose_a=false, bool transpose_b=false, DotForwardStype forward_stype=DotForwardStype::kNone)
 
Symbol mxnet::cpp::batch_dot (const std::string &symbol_name, Symbol lhs, Symbol rhs, bool transpose_a=false, bool transpose_b=false, Batch_dotForwardStype forward_stype=Batch_dotForwardStype::kNone)
 
Symbol mxnet::cpp::broadcast_add (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_sub (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_mul (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_div (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_mod (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::relu (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::sigmoid (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::hard_sigmoid (const std::string &symbol_name, Symbol data, mx_float alpha=0.2, mx_float beta=0.5)
 
Symbol mxnet::cpp::softsign (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::BlockGrad (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::make_loss (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::reshape_like (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::shape_array (const std::string &symbol_name, Symbol data, dmlc::optional< int > lhs_begin=dmlc::optional< int >(), dmlc::optional< int > lhs_end=dmlc::optional< int >(), dmlc::optional< int > rhs_begin=dmlc::optional< int >(), dmlc::optional< int > rhs_end=dmlc::optional< int >())
 
Symbol mxnet::cpp::size_array (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::Cast (const std::string &symbol_name, Symbol data, CastDtype dtype)
 
Symbol mxnet::cpp::negative (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::reciprocal (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::abs (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::sign (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::round (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::rint (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::ceil (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::floor (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::trunc (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::fix (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::square (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::sqrt (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::rsqrt (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::cbrt (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::erf (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::rcbrt (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::exp (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::log (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::log10 (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::log2 (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::log1p (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::expm1 (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::gamma (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::gammaln (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::logical_not (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::sum (const std::string &symbol_name, Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::mean (const std::string &symbol_name, Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::prod (const std::string &symbol_name, Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::nansum (const std::string &symbol_name, Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::nanprod (const std::string &symbol_name, Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::max (const std::string &symbol_name, Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::min (const std::string &symbol_name, Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::broadcast_axis (const std::string &symbol_name, Symbol data, Shape axis=Shape(), Shape size=Shape())
 
Symbol mxnet::cpp::broadcast_to (const std::string &symbol_name, Symbol data, Shape shape=Shape())
 
Symbol mxnet::cpp::broadcast_like (const std::string &symbol_name, Symbol lhs, Symbol rhs, dmlc::optional< Shape > lhs_axes=dmlc::optional< Shape >(), dmlc::optional< Shape > rhs_axes=dmlc::optional< Shape >())
 
Symbol mxnet::cpp::norm (const std::string &symbol_name, Symbol data, int ord=2, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false)
 
Symbol mxnet::cpp::topk (const std::string &symbol_name, Symbol data, dmlc::optional< int > axis=dmlc::optional< int >(-1), int k=1, TopkRetTyp ret_typ=TopkRetTyp::kIndices, bool is_ascend=false, TopkDtype dtype=TopkDtype::kFloat32)
 
Symbol mxnet::cpp::sort (const std::string &symbol_name, Symbol data, dmlc::optional< int > axis=dmlc::optional< int >(-1), bool is_ascend=true)
 
Symbol mxnet::cpp::argsort (const std::string &symbol_name, Symbol data, dmlc::optional< int > axis=dmlc::optional< int >(-1), bool is_ascend=true, ArgsortDtype dtype=ArgsortDtype::kFloat32)
 
Symbol mxnet::cpp::elemwise_add (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::elemwise_sub (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::elemwise_mul (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::elemwise_div (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::Embedding (const std::string &symbol_name, Symbol data, Symbol weight, int input_dim, int output_dim, EmbeddingDtype dtype=EmbeddingDtype::kFloat32, bool sparse_grad=false)
 
Symbol mxnet::cpp::take (const std::string &symbol_name, Symbol a, Symbol indices, int axis=0, TakeMode mode=TakeMode::kClip)
 
Symbol mxnet::cpp::batch_take (const std::string &symbol_name, Symbol a, Symbol indices)
 
Symbol mxnet::cpp::one_hot (const std::string &symbol_name, Symbol indices, int depth, double on_value=1, double off_value=0, One_hotDtype dtype=One_hotDtype::kFloat32)
 
Symbol mxnet::cpp::gather_nd (const std::string &symbol_name, Symbol data, Symbol indices)
 
Symbol mxnet::cpp::scatter_nd (const std::string &symbol_name, Symbol data, Symbol indices, Shape shape)
 
Symbol mxnet::cpp::broadcast_equal (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_not_equal (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_greater (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_greater_equal (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_lesser (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_lesser_equal (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_logical_and (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_logical_or (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_logical_xor (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::diag (const std::string &symbol_name, Symbol data, int k=0, int axis1=0, int axis2=1)
 
Symbol mxnet::cpp::where (const std::string &symbol_name, Symbol condition, Symbol x, Symbol y)
 
Symbol mxnet::cpp::smooth_l1 (const std::string &symbol_name, Symbol data, mx_float scalar)
 
Symbol mxnet::cpp::cast_storage (const std::string &symbol_name, Symbol data, Cast_storageStype stype)
 
Symbol mxnet::cpp::sin (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::cos (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::tan (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::arcsin (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::arccos (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::arctan (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::degrees (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::radians (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::sinh (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::cosh (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::tanh (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::arcsinh (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::arccosh (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::arctanh (const std::string &symbol_name, Symbol data)
 
Symbol mxnet::cpp::Pooling (const std::string &symbol_name, Symbol data, Shape kernel=Shape(), PoolingPoolType pool_type=PoolingPoolType::kMax, bool global_pool=false, bool cudnn_off=false, PoolingPoolingConvention pooling_convention=PoolingPoolingConvention::kValid, Shape stride=Shape(), Shape pad=Shape(), dmlc::optional< int > p_value=dmlc::optional< int >(), dmlc::optional< bool > count_include_pad=dmlc::optional< bool >())
 
Symbol mxnet::cpp::softmax (const std::string &symbol_name, Symbol data, int axis=-1, dmlc::optional< double > temperature=dmlc::optional< double >())
 
Symbol mxnet::cpp::softmin (const std::string &symbol_name, Symbol data, int axis=-1, dmlc::optional< double > temperature=dmlc::optional< double >())
 
Symbol mxnet::cpp::log_softmax (const std::string &symbol_name, Symbol data, int axis=-1, dmlc::optional< double > temperature=dmlc::optional< double >())
 
Symbol mxnet::cpp::Deconvolution (const std::string &symbol_name, Symbol data, Symbol weight, Symbol bias, Shape kernel, uint32_t num_filter, Shape stride=Shape(), Shape dilate=Shape(), Shape pad=Shape(), Shape adj=Shape(), Shape target_shape=Shape(), uint32_t num_group=1, uint64_t workspace=512, bool no_bias=true, DeconvolutionCudnnTune cudnn_tune=DeconvolutionCudnnTune::kNone, bool cudnn_off=false, DeconvolutionLayout layout=DeconvolutionLayout::kNone)
 
Symbol mxnet::cpp::Activation (const std::string &symbol_name, Symbol data, ActivationActType act_type)
 
Symbol mxnet::cpp::BatchNorm (const std::string &symbol_name, Symbol data, Symbol gamma, Symbol beta, Symbol moving_mean, Symbol moving_var, double eps=0.001, mx_float momentum=0.9, bool fix_gamma=true, bool use_global_stats=false, bool output_mean_var=false, int axis=1, bool cudnn_off=false)
 
Symbol mxnet::cpp::CTCLoss (const std::string &symbol_name, Symbol data, Symbol label, Symbol data_lengths, Symbol label_lengths, bool use_data_lengths=false, bool use_label_lengths=false, CTCLossBlankLabel blank_label=CTCLossBlankLabel::kFirst)
 
Symbol mxnet::cpp::Convolution (const std::string &symbol_name, Symbol data, Symbol weight, Symbol bias, Shape kernel, uint32_t num_filter, Shape stride=Shape(), Shape dilate=Shape(), Shape pad=Shape(), uint32_t num_group=1, uint64_t workspace=1024, bool no_bias=false, ConvolutionCudnnTune cudnn_tune=ConvolutionCudnnTune::kNone, bool cudnn_off=false, ConvolutionLayout layout=ConvolutionLayout::kNone)
 
Symbol mxnet::cpp::UpSampling (const std::string &symbol_name, const std::vector< Symbol > &data, int scale, UpSamplingSampleType sample_type, int num_args, int num_filter=0, UpSamplingMultiInputMode multi_input_mode=UpSamplingMultiInputMode::kConcat, uint64_t workspace=512)
 
Symbol mxnet::cpp::Concat (const std::string &symbol_name, const std::vector< Symbol > &data, int num_args, int dim=1)
 
Symbol mxnet::cpp::LayerNorm (const std::string &symbol_name, Symbol data, Symbol gamma, Symbol beta, int axis=-1, mx_float eps=1e-05, bool output_mean_var=false)
 
Symbol mxnet::cpp::LRN (const std::string &symbol_name, Symbol data, uint32_t nsize, mx_float alpha=0.0001, mx_float beta=0.75, mx_float knorm=2)
 
Symbol mxnet::cpp::Dropout (const std::string &symbol_name, Symbol data, mx_float p=0.5, DropoutMode mode=DropoutMode::kTraining, Shape axes=Shape())
 
Symbol mxnet::cpp::SoftmaxActivation (const std::string &symbol_name, Symbol data, SoftmaxActivationMode mode=SoftmaxActivationMode::kInstance)
 
Symbol mxnet::cpp::FullyConnected (const std::string &symbol_name, Symbol data, Symbol weight, Symbol bias, int num_hidden, bool no_bias=false, bool flatten=true)
 
Symbol mxnet::cpp::Pad (const std::string &symbol_name, Symbol data, PadMode mode, Shape pad_width, double constant_value=0)
 
Symbol mxnet::cpp::LeakyReLU (const std::string &symbol_name, Symbol data, Symbol gamma, LeakyReLUActType act_type=LeakyReLUActType::kLeaky, mx_float slope=0.25, mx_float lower_bound=0.125, mx_float upper_bound=0.334)
 
Symbol mxnet::cpp::SwapAxis (const std::string &symbol_name, Symbol data, uint32_t dim1=0, uint32_t dim2=0)
 
Symbol mxnet::cpp::BatchNorm_v1 (const std::string &symbol_name, Symbol data, Symbol gamma, Symbol beta, mx_float eps=0.001, mx_float momentum=0.9, bool fix_gamma=true, bool use_global_stats=false, bool output_mean_var=false)
 
Symbol mxnet::cpp::softmax_cross_entropy (const std::string &symbol_name, Symbol data, Symbol label)
 
Symbol mxnet::cpp::LinearRegressionOutput (const std::string &symbol_name, Symbol data, Symbol label, mx_float grad_scale=1)
 
Symbol mxnet::cpp::MAERegressionOutput (const std::string &symbol_name, Symbol data, Symbol label, mx_float grad_scale=1)
 
Symbol mxnet::cpp::LogisticRegressionOutput (const std::string &symbol_name, Symbol data, Symbol label, mx_float grad_scale=1)
 
Symbol mxnet::cpp::IdentityAttachKLSparseReg (const std::string &symbol_name, Symbol data, mx_float sparseness_target=0.1, mx_float penalty=0.001, mx_float momentum=0.9)
 
Symbol mxnet::cpp::signsgd_update (const std::string &symbol_name, Symbol weight, Symbol grad, mx_float lr, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1)
 
Symbol mxnet::cpp::signum_update (const std::string &symbol_name, Symbol weight, Symbol grad, Symbol mom, mx_float lr, mx_float momentum=0, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, mx_float wd_lh=0)
 
Symbol mxnet::cpp::sgd_update (const std::string &symbol_name, Symbol weight, Symbol grad, mx_float lr, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, bool lazy_update=true)
 
Symbol mxnet::cpp::sgd_mom_update (const std::string &symbol_name, Symbol weight, Symbol grad, Symbol mom, mx_float lr, mx_float momentum=0, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, bool lazy_update=true)
 
Symbol mxnet::cpp::mp_sgd_update (const std::string &symbol_name, Symbol weight, Symbol grad, Symbol weight32, mx_float lr, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, bool lazy_update=true)
 
Symbol mxnet::cpp::mp_sgd_mom_update (const std::string &symbol_name, Symbol weight, Symbol grad, Symbol mom, Symbol weight32, mx_float lr, mx_float momentum=0, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, bool lazy_update=true)
 
Symbol mxnet::cpp::ftml_update (const std::string &symbol_name, Symbol weight, Symbol grad, Symbol d, Symbol v, Symbol z, mx_float lr, int t, mx_float beta1=0.6, mx_float beta2=0.999, double epsilon=1e-08, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_grad=-1)
 
Symbol mxnet::cpp::adam_update (const std::string &symbol_name, Symbol weight, Symbol grad, Symbol mean, Symbol var, mx_float lr, mx_float beta1=0.9, mx_float beta2=0.999, mx_float epsilon=1e-08, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, bool lazy_update=true)
 
Symbol mxnet::cpp::rmsprop_update (const std::string &symbol_name, Symbol weight, Symbol grad, Symbol n, mx_float lr, mx_float gamma1=0.95, mx_float epsilon=1e-08, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, mx_float clip_weights=-1)
 
Symbol mxnet::cpp::rmspropalex_update (const std::string &symbol_name, Symbol weight, Symbol grad, Symbol n, Symbol g, Symbol delta, mx_float lr, mx_float gamma1=0.95, mx_float gamma2=0.9, mx_float epsilon=1e-08, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, mx_float clip_weights=-1)
 
Symbol mxnet::cpp::ftrl_update (const std::string &symbol_name, Symbol weight, Symbol grad, Symbol z, Symbol n, mx_float lr, mx_float lamda1=0.01, mx_float beta=1, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1)
 
Symbol mxnet::cpp::SliceChannel (const std::string &symbol_name, Symbol data, int num_outputs, int axis=1, bool squeeze_axis=false)
 
Symbol mxnet::cpp::InstanceNorm (const std::string &symbol_name, Symbol data, Symbol gamma, Symbol beta, mx_float eps=0.001)
 
Symbol mxnet::cpp::GridGenerator (const std::string &symbol_name, Symbol data, GridGeneratorTransformType transform_type, Shape target_shape=Shape(0, 0))
 
Symbol mxnet::cpp::Pooling_v1 (const std::string &symbol_name, Symbol data, Shape kernel=Shape(), Pooling_v1PoolType pool_type=Pooling_v1PoolType::kMax, bool global_pool=false, Pooling_v1PoolingConvention pooling_convention=Pooling_v1PoolingConvention::kValid, Shape stride=Shape(), Shape pad=Shape())
 
Symbol mxnet::cpp::RNN (const std::string &symbol_name, Symbol data, Symbol parameters, Symbol state, Symbol state_cell, uint32_t state_size, uint32_t num_layers, RNNMode mode, bool bidirectional=false, mx_float p=0, bool state_outputs=false, dmlc::optional< int > projection_size=dmlc::optional< int >(), dmlc::optional< double > lstm_state_clip_min=dmlc::optional< double >(), dmlc::optional< double > lstm_state_clip_max=dmlc::optional< double >(), bool lstm_state_clip_nan=false)
 
Symbol mxnet::cpp::Convolution_v1 (const std::string &symbol_name, Symbol data, Symbol weight, Symbol bias, Shape kernel, uint32_t num_filter, Shape stride=Shape(), Shape dilate=Shape(), Shape pad=Shape(), uint32_t num_group=1, uint64_t workspace=1024, bool no_bias=false, Convolution_v1CudnnTune cudnn_tune=Convolution_v1CudnnTune::kNone, bool cudnn_off=false, Convolution_v1Layout layout=Convolution_v1Layout::kNone)
 
Symbol mxnet::cpp::Crop (const std::string &symbol_name, const std::vector< Symbol > &data, int num_args, Shape offset=Shape(0, 0), Shape h_w=Shape(0, 0), bool center_crop=false)
 
Symbol mxnet::cpp::SequenceReverse (const std::string &symbol_name, Symbol data, Symbol sequence_length, bool use_sequence_length=false, int axis=0)
 
Symbol mxnet::cpp::SpatialTransformer (const std::string &symbol_name, Symbol data, Symbol loc, SpatialTransformerTransformType transform_type, SpatialTransformerSamplerType sampler_type, Shape target_shape=Shape(0, 0), dmlc::optional< bool > cudnn_off=dmlc::optional< bool >())
 
Symbol mxnet::cpp::SoftmaxOutput (const std::string &symbol_name, Symbol data, Symbol label, mx_float grad_scale=1, mx_float ignore_label=-1, bool multi_output=false, bool use_ignore=false, bool preserve_shape=false, SoftmaxOutputNormalization normalization=SoftmaxOutputNormalization::kNull, bool out_grad=false, mx_float smooth_alpha=0)
 
Symbol mxnet::cpp::Softmax (const std::string &symbol_name, Symbol data, mx_float grad_scale=1, mx_float ignore_label=-1, bool multi_output=false, bool use_ignore=false, bool preserve_shape=false, SoftmaxNormalization normalization=SoftmaxNormalization::kNull, bool out_grad=false, mx_float smooth_alpha=0)
 
Symbol mxnet::cpp::BilinearSampler (const std::string &symbol_name, Symbol data, Symbol grid, dmlc::optional< bool > cudnn_off=dmlc::optional< bool >())
 
Symbol mxnet::cpp::ROIPooling (const std::string &symbol_name, Symbol data, Symbol rois, Shape pooled_size, mx_float spatial_scale)
 
Symbol mxnet::cpp::SequenceLast (const std::string &symbol_name, Symbol data, Symbol sequence_length, bool use_sequence_length=false, int axis=0)
 
Symbol mxnet::cpp::L2Normalization (const std::string &symbol_name, Symbol data, mx_float eps=1e-10, L2NormalizationMode mode=L2NormalizationMode::kInstance)
 
Symbol mxnet::cpp::MakeLoss (const std::string &symbol_name, Symbol data, mx_float grad_scale=1, mx_float valid_thresh=0, MakeLossNormalization normalization=MakeLossNormalization::kNull)
 
Symbol mxnet::cpp::SVMOutput (const std::string &symbol_name, Symbol data, Symbol label, mx_float margin=1, mx_float regularization_coefficient=1, bool use_linear=false)
 
Symbol mxnet::cpp::Correlation (const std::string &symbol_name, Symbol data1, Symbol data2, uint32_t kernel_size=1, uint32_t max_displacement=1, uint32_t stride1=1, uint32_t stride2=1, uint32_t pad_size=0, bool is_multiply=true)
 
Symbol mxnet::cpp::SequenceMask (const std::string &symbol_name, Symbol data, Symbol sequence_length, bool use_sequence_length=false, mx_float value=0, int axis=0)
 
Symbol mxnet::cpp::choose_element_0index (const std::string &symbol_name, Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::fill_element_0index (const std::string &symbol_name, Symbol lhs, Symbol mhs, Symbol rhs)
 
Symbol mxnet::cpp::khatri_rao (const std::vector< Symbol > &args)
 
Symbol mxnet::cpp::Custom (const std::vector< Symbol > &data, const std::string &op_type)
 
Symbol mxnet::cpp::broadcast_power (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_maximum (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_minimum (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_hypot (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::Reshape (Symbol data, Shape shape=Shape(), bool reverse=false, Shape target_shape=Shape(), bool keep_highest=false)
 
Symbol mxnet::cpp::Flatten (Symbol data)
 
Symbol mxnet::cpp::transpose (Symbol data, Shape axes=Shape())
 
Symbol mxnet::cpp::expand_dims (Symbol data, int axis)
 
Symbol mxnet::cpp::slice (Symbol data, Shape begin, Shape end, Shape step=Shape())
 
Symbol mxnet::cpp::slice_axis (Symbol data, int axis, int begin, dmlc::optional< int > end)
 
Symbol mxnet::cpp::slice_like (Symbol data, Symbol shape_like, Shape axes=Shape())
 
Symbol mxnet::cpp::clip (Symbol data, mx_float a_min, mx_float a_max)
 
Symbol mxnet::cpp::repeat (Symbol data, int repeats, dmlc::optional< int > axis=dmlc::optional< int >())
 
Symbol mxnet::cpp::tile (Symbol data, Shape reps)
 
Symbol mxnet::cpp::reverse (Symbol data, Shape axis)
 
Symbol mxnet::cpp::stack (const std::vector< Symbol > &data, int num_args, int axis=0)
 
Symbol mxnet::cpp::squeeze (const std::vector< Symbol > &data, dmlc::optional< Shape > axis=dmlc::optional< Shape >())
 
Symbol mxnet::cpp::depth_to_space (Symbol data, int block_size)
 
Symbol mxnet::cpp::space_to_depth (Symbol data, int block_size)
 
Symbol mxnet::cpp::zeros_like (Symbol data)
 
Symbol mxnet::cpp::ones_like (Symbol data)
 
Symbol mxnet::cpp::add_n (const std::vector< Symbol > &args)
 
Symbol mxnet::cpp::argmax (Symbol data, dmlc::optional< int > axis=dmlc::optional< int >(), bool keepdims=false)
 
Symbol mxnet::cpp::argmin (Symbol data, dmlc::optional< int > axis=dmlc::optional< int >(), bool keepdims=false)
 
Symbol mxnet::cpp::argmax_channel (Symbol data)
 
Symbol mxnet::cpp::pick (Symbol data, Symbol index, dmlc::optional< int > axis=dmlc::optional< int >(-1), bool keepdims=false, PickMode mode=PickMode::kClip)
 
Symbol mxnet::cpp::dot (Symbol lhs, Symbol rhs, bool transpose_a=false, bool transpose_b=false, DotForwardStype forward_stype=DotForwardStype::kNone)
 
Symbol mxnet::cpp::batch_dot (Symbol lhs, Symbol rhs, bool transpose_a=false, bool transpose_b=false, Batch_dotForwardStype forward_stype=Batch_dotForwardStype::kNone)
 
Symbol mxnet::cpp::broadcast_add (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_sub (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_mul (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_div (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_mod (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::relu (Symbol data)
 
Symbol mxnet::cpp::sigmoid (Symbol data)
 
Symbol mxnet::cpp::hard_sigmoid (Symbol data, mx_float alpha=0.2, mx_float beta=0.5)
 
Symbol mxnet::cpp::softsign (Symbol data)
 
Symbol mxnet::cpp::BlockGrad (Symbol data)
 
Symbol mxnet::cpp::make_loss (Symbol data)
 
Symbol mxnet::cpp::reshape_like (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::shape_array (Symbol data, dmlc::optional< int > lhs_begin=dmlc::optional< int >(), dmlc::optional< int > lhs_end=dmlc::optional< int >(), dmlc::optional< int > rhs_begin=dmlc::optional< int >(), dmlc::optional< int > rhs_end=dmlc::optional< int >())
 
Symbol mxnet::cpp::size_array (Symbol data)
 
Symbol mxnet::cpp::Cast (Symbol data, CastDtype dtype)
 
Symbol mxnet::cpp::negative (Symbol data)
 
Symbol mxnet::cpp::reciprocal (Symbol data)
 
Symbol mxnet::cpp::abs (Symbol data)
 
Symbol mxnet::cpp::sign (Symbol data)
 
Symbol mxnet::cpp::round (Symbol data)
 
Symbol mxnet::cpp::rint (Symbol data)
 
Symbol mxnet::cpp::ceil (Symbol data)
 
Symbol mxnet::cpp::floor (Symbol data)
 
Symbol mxnet::cpp::trunc (Symbol data)
 
Symbol mxnet::cpp::fix (Symbol data)
 
Symbol mxnet::cpp::square (Symbol data)
 
Symbol mxnet::cpp::sqrt (Symbol data)
 
Symbol mxnet::cpp::rsqrt (Symbol data)
 
Symbol mxnet::cpp::cbrt (Symbol data)
 
Symbol mxnet::cpp::erf (Symbol data)
 
Symbol mxnet::cpp::rcbrt (Symbol data)
 
Symbol mxnet::cpp::exp (Symbol data)
 
Symbol mxnet::cpp::log (Symbol data)
 
Symbol mxnet::cpp::log10 (Symbol data)
 
Symbol mxnet::cpp::log2 (Symbol data)
 
Symbol mxnet::cpp::log1p (Symbol data)
 
Symbol mxnet::cpp::expm1 (Symbol data)
 
Symbol mxnet::cpp::gamma (Symbol data)
 
Symbol mxnet::cpp::gammaln (Symbol data)
 
Symbol mxnet::cpp::logical_not (Symbol data)
 
Symbol mxnet::cpp::sum (Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::mean (Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::prod (Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::nansum (Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::nanprod (Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::max (Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::min (Symbol data, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false, bool exclude=false)
 
Symbol mxnet::cpp::broadcast_axis (Symbol data, Shape axis=Shape(), Shape size=Shape())
 
Symbol mxnet::cpp::broadcast_to (Symbol data, Shape shape=Shape())
 
Symbol mxnet::cpp::broadcast_like (Symbol lhs, Symbol rhs, dmlc::optional< Shape > lhs_axes=dmlc::optional< Shape >(), dmlc::optional< Shape > rhs_axes=dmlc::optional< Shape >())
 
Symbol mxnet::cpp::norm (Symbol data, int ord=2, dmlc::optional< Shape > axis=dmlc::optional< Shape >(), bool keepdims=false)
 
Symbol mxnet::cpp::topk (Symbol data, dmlc::optional< int > axis=dmlc::optional< int >(-1), int k=1, TopkRetTyp ret_typ=TopkRetTyp::kIndices, bool is_ascend=false, TopkDtype dtype=TopkDtype::kFloat32)
 
Symbol mxnet::cpp::sort (Symbol data, dmlc::optional< int > axis=dmlc::optional< int >(-1), bool is_ascend=true)
 
Symbol mxnet::cpp::argsort (Symbol data, dmlc::optional< int > axis=dmlc::optional< int >(-1), bool is_ascend=true, ArgsortDtype dtype=ArgsortDtype::kFloat32)
 
Symbol mxnet::cpp::elemwise_add (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::elemwise_sub (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::elemwise_mul (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::elemwise_div (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::Embedding (Symbol data, Symbol weight, int input_dim, int output_dim, EmbeddingDtype dtype=EmbeddingDtype::kFloat32, bool sparse_grad=false)
 
Symbol mxnet::cpp::take (Symbol a, Symbol indices, int axis=0, TakeMode mode=TakeMode::kClip)
 
Symbol mxnet::cpp::batch_take (Symbol a, Symbol indices)
 
Symbol mxnet::cpp::one_hot (Symbol indices, int depth, double on_value=1, double off_value=0, One_hotDtype dtype=One_hotDtype::kFloat32)
 
Symbol mxnet::cpp::gather_nd (Symbol data, Symbol indices)
 
Symbol mxnet::cpp::scatter_nd (Symbol data, Symbol indices, Shape shape)
 
Symbol mxnet::cpp::broadcast_equal (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_not_equal (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_greater (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_greater_equal (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_lesser (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_lesser_equal (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_logical_and (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_logical_or (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::broadcast_logical_xor (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::diag (Symbol data, int k=0, int axis1=0, int axis2=1)
 
Symbol mxnet::cpp::where (Symbol condition, Symbol x, Symbol y)
 
Symbol mxnet::cpp::smooth_l1 (Symbol data, mx_float scalar)
 
Symbol mxnet::cpp::cast_storage (Symbol data, Cast_storageStype stype)
 
Symbol mxnet::cpp::sin (Symbol data)
 
Symbol mxnet::cpp::cos (Symbol data)
 
Symbol mxnet::cpp::tan (Symbol data)
 
Symbol mxnet::cpp::arcsin (Symbol data)
 
Symbol mxnet::cpp::arccos (Symbol data)
 
Symbol mxnet::cpp::arctan (Symbol data)
 
Symbol mxnet::cpp::degrees (Symbol data)
 
Symbol mxnet::cpp::radians (Symbol data)
 
Symbol mxnet::cpp::sinh (Symbol data)
 
Symbol mxnet::cpp::cosh (Symbol data)
 
Symbol mxnet::cpp::tanh (Symbol data)
 
Symbol mxnet::cpp::arcsinh (Symbol data)
 
Symbol mxnet::cpp::arccosh (Symbol data)
 
Symbol mxnet::cpp::arctanh (Symbol data)
 
Symbol mxnet::cpp::Pooling (Symbol data, Shape kernel=Shape(), PoolingPoolType pool_type=PoolingPoolType::kMax, bool global_pool=false, bool cudnn_off=false, PoolingPoolingConvention pooling_convention=PoolingPoolingConvention::kValid, Shape stride=Shape(), Shape pad=Shape(), dmlc::optional< int > p_value=dmlc::optional< int >(), dmlc::optional< bool > count_include_pad=dmlc::optional< bool >())
 
Symbol mxnet::cpp::softmax (Symbol data, int axis=-1, dmlc::optional< double > temperature=dmlc::optional< double >())
 
Symbol mxnet::cpp::softmin (Symbol data, int axis=-1, dmlc::optional< double > temperature=dmlc::optional< double >())
 
Symbol mxnet::cpp::log_softmax (Symbol data, int axis=-1, dmlc::optional< double > temperature=dmlc::optional< double >())
 
Symbol mxnet::cpp::Deconvolution (Symbol data, Symbol weight, Symbol bias, Shape kernel, uint32_t num_filter, Shape stride=Shape(), Shape dilate=Shape(), Shape pad=Shape(), Shape adj=Shape(), Shape target_shape=Shape(), uint32_t num_group=1, uint64_t workspace=512, bool no_bias=true, DeconvolutionCudnnTune cudnn_tune=DeconvolutionCudnnTune::kNone, bool cudnn_off=false, DeconvolutionLayout layout=DeconvolutionLayout::kNone)
 
Symbol mxnet::cpp::Activation (Symbol data, ActivationActType act_type)
 
Symbol mxnet::cpp::BatchNorm (Symbol data, Symbol gamma, Symbol beta, Symbol moving_mean, Symbol moving_var, double eps=0.001, mx_float momentum=0.9, bool fix_gamma=true, bool use_global_stats=false, bool output_mean_var=false, int axis=1, bool cudnn_off=false)
 
Symbol mxnet::cpp::CTCLoss (Symbol data, Symbol label, Symbol data_lengths, Symbol label_lengths, bool use_data_lengths=false, bool use_label_lengths=false, CTCLossBlankLabel blank_label=CTCLossBlankLabel::kFirst)
 
Symbol mxnet::cpp::Convolution (Symbol data, Symbol weight, Symbol bias, Shape kernel, uint32_t num_filter, Shape stride=Shape(), Shape dilate=Shape(), Shape pad=Shape(), uint32_t num_group=1, uint64_t workspace=1024, bool no_bias=false, ConvolutionCudnnTune cudnn_tune=ConvolutionCudnnTune::kNone, bool cudnn_off=false, ConvolutionLayout layout=ConvolutionLayout::kNone)
 
Symbol mxnet::cpp::UpSampling (const std::vector< Symbol > &data, int scale, UpSamplingSampleType sample_type, int num_args, int num_filter=0, UpSamplingMultiInputMode multi_input_mode=UpSamplingMultiInputMode::kConcat, uint64_t workspace=512)
 
Symbol mxnet::cpp::Concat (const std::vector< Symbol > &data, int num_args, int dim=1)
 
Symbol mxnet::cpp::LayerNorm (Symbol data, Symbol gamma, Symbol beta, int axis=-1, mx_float eps=1e-05, bool output_mean_var=false)
 
Symbol mxnet::cpp::LRN (Symbol data, uint32_t nsize, mx_float alpha=0.0001, mx_float beta=0.75, mx_float knorm=2)
 
Symbol mxnet::cpp::Dropout (Symbol data, mx_float p=0.5, DropoutMode mode=DropoutMode::kTraining, Shape axes=Shape())
 
Symbol mxnet::cpp::SoftmaxActivation (Symbol data, SoftmaxActivationMode mode=SoftmaxActivationMode::kInstance)
 
Symbol mxnet::cpp::FullyConnected (Symbol data, Symbol weight, Symbol bias, int num_hidden, bool no_bias=false, bool flatten=true)
 
Symbol mxnet::cpp::Pad (Symbol data, PadMode mode, Shape pad_width, double constant_value=0)
 
Symbol mxnet::cpp::LeakyReLU (Symbol data, Symbol gamma, LeakyReLUActType act_type=LeakyReLUActType::kLeaky, mx_float slope=0.25, mx_float lower_bound=0.125, mx_float upper_bound=0.334)
 
Symbol mxnet::cpp::SwapAxis (Symbol data, uint32_t dim1=0, uint32_t dim2=0)
 
Symbol mxnet::cpp::BatchNorm_v1 (Symbol data, Symbol gamma, Symbol beta, mx_float eps=0.001, mx_float momentum=0.9, bool fix_gamma=true, bool use_global_stats=false, bool output_mean_var=false)
 
Symbol mxnet::cpp::softmax_cross_entropy (Symbol data, Symbol label)
 
Symbol mxnet::cpp::LinearRegressionOutput (Symbol data, Symbol label, mx_float grad_scale=1)
 
Symbol mxnet::cpp::MAERegressionOutput (Symbol data, Symbol label, mx_float grad_scale=1)
 
Symbol mxnet::cpp::LogisticRegressionOutput (Symbol data, Symbol label, mx_float grad_scale=1)
 
Symbol mxnet::cpp::IdentityAttachKLSparseReg (Symbol data, mx_float sparseness_target=0.1, mx_float penalty=0.001, mx_float momentum=0.9)
 
Symbol mxnet::cpp::signsgd_update (Symbol weight, Symbol grad, mx_float lr, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1)
 
Symbol mxnet::cpp::signum_update (Symbol weight, Symbol grad, Symbol mom, mx_float lr, mx_float momentum=0, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, mx_float wd_lh=0)
 
Symbol mxnet::cpp::sgd_update (Symbol weight, Symbol grad, mx_float lr, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, bool lazy_update=true)
 
Symbol mxnet::cpp::sgd_mom_update (Symbol weight, Symbol grad, Symbol mom, mx_float lr, mx_float momentum=0, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, bool lazy_update=true)
 
Symbol mxnet::cpp::mp_sgd_update (Symbol weight, Symbol grad, Symbol weight32, mx_float lr, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, bool lazy_update=true)
 
Symbol mxnet::cpp::mp_sgd_mom_update (Symbol weight, Symbol grad, Symbol mom, Symbol weight32, mx_float lr, mx_float momentum=0, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, bool lazy_update=true)
 
Symbol mxnet::cpp::ftml_update (Symbol weight, Symbol grad, Symbol d, Symbol v, Symbol z, mx_float lr, int t, mx_float beta1=0.6, mx_float beta2=0.999, double epsilon=1e-08, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_grad=-1)
 
Symbol mxnet::cpp::adam_update (Symbol weight, Symbol grad, Symbol mean, Symbol var, mx_float lr, mx_float beta1=0.9, mx_float beta2=0.999, mx_float epsilon=1e-08, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, bool lazy_update=true)
 
Symbol mxnet::cpp::rmsprop_update (Symbol weight, Symbol grad, Symbol n, mx_float lr, mx_float gamma1=0.95, mx_float epsilon=1e-08, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, mx_float clip_weights=-1)
 
Symbol mxnet::cpp::rmspropalex_update (Symbol weight, Symbol grad, Symbol n, Symbol g, Symbol delta, mx_float lr, mx_float gamma1=0.95, mx_float gamma2=0.9, mx_float epsilon=1e-08, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1, mx_float clip_weights=-1)
 
Symbol mxnet::cpp::ftrl_update (Symbol weight, Symbol grad, Symbol z, Symbol n, mx_float lr, mx_float lamda1=0.01, mx_float beta=1, mx_float wd=0, mx_float rescale_grad=1, mx_float clip_gradient=-1)
 
Symbol mxnet::cpp::SliceChannel (Symbol data, int num_outputs, int axis=1, bool squeeze_axis=false)
 
Symbol mxnet::cpp::InstanceNorm (Symbol data, Symbol gamma, Symbol beta, mx_float eps=0.001)
 
Symbol mxnet::cpp::GridGenerator (Symbol data, GridGeneratorTransformType transform_type, Shape target_shape=Shape(0, 0))
 
Symbol mxnet::cpp::Pooling_v1 (Symbol data, Shape kernel=Shape(), Pooling_v1PoolType pool_type=Pooling_v1PoolType::kMax, bool global_pool=false, Pooling_v1PoolingConvention pooling_convention=Pooling_v1PoolingConvention::kValid, Shape stride=Shape(), Shape pad=Shape())
 
Symbol mxnet::cpp::RNN (Symbol data, Symbol parameters, Symbol state, Symbol state_cell, uint32_t state_size, uint32_t num_layers, RNNMode mode, bool bidirectional=false, mx_float p=0, bool state_outputs=false, dmlc::optional< int > projection_size=dmlc::optional< int >(), dmlc::optional< double > lstm_state_clip_min=dmlc::optional< double >(), dmlc::optional< double > lstm_state_clip_max=dmlc::optional< double >(), bool lstm_state_clip_nan=false)
 
Symbol mxnet::cpp::Convolution_v1 (Symbol data, Symbol weight, Symbol bias, Shape kernel, uint32_t num_filter, Shape stride=Shape(), Shape dilate=Shape(), Shape pad=Shape(), uint32_t num_group=1, uint64_t workspace=1024, bool no_bias=false, Convolution_v1CudnnTune cudnn_tune=Convolution_v1CudnnTune::kNone, bool cudnn_off=false, Convolution_v1Layout layout=Convolution_v1Layout::kNone)
 
Symbol mxnet::cpp::Crop (const std::vector< Symbol > &data, int num_args, Shape offset=Shape(0, 0), Shape h_w=Shape(0, 0), bool center_crop=false)
 
Symbol mxnet::cpp::SequenceReverse (Symbol data, Symbol sequence_length, bool use_sequence_length=false, int axis=0)
 
Symbol mxnet::cpp::SpatialTransformer (Symbol data, Symbol loc, SpatialTransformerTransformType transform_type, SpatialTransformerSamplerType sampler_type, Shape target_shape=Shape(0, 0), dmlc::optional< bool > cudnn_off=dmlc::optional< bool >())
 
Symbol mxnet::cpp::SoftmaxOutput (Symbol data, Symbol label, mx_float grad_scale=1, mx_float ignore_label=-1, bool multi_output=false, bool use_ignore=false, bool preserve_shape=false, SoftmaxOutputNormalization normalization=SoftmaxOutputNormalization::kNull, bool out_grad=false, mx_float smooth_alpha=0)
 
Symbol mxnet::cpp::Softmax (Symbol data, mx_float grad_scale=1, mx_float ignore_label=-1, bool multi_output=false, bool use_ignore=false, bool preserve_shape=false, SoftmaxNormalization normalization=SoftmaxNormalization::kNull, bool out_grad=false, mx_float smooth_alpha=0)
 
Symbol mxnet::cpp::BilinearSampler (Symbol data, Symbol grid, dmlc::optional< bool > cudnn_off=dmlc::optional< bool >())
 
Symbol mxnet::cpp::ROIPooling (Symbol data, Symbol rois, Shape pooled_size, mx_float spatial_scale)
 
Symbol mxnet::cpp::SequenceLast (Symbol data, Symbol sequence_length, bool use_sequence_length=false, int axis=0)
 
Symbol mxnet::cpp::L2Normalization (Symbol data, mx_float eps=1e-10, L2NormalizationMode mode=L2NormalizationMode::kInstance)
 
Symbol mxnet::cpp::MakeLoss (Symbol data, mx_float grad_scale=1, mx_float valid_thresh=0, MakeLossNormalization normalization=MakeLossNormalization::kNull)
 
Symbol mxnet::cpp::SVMOutput (Symbol data, Symbol label, mx_float margin=1, mx_float regularization_coefficient=1, bool use_linear=false)
 
Symbol mxnet::cpp::Correlation (Symbol data1, Symbol data2, uint32_t kernel_size=1, uint32_t max_displacement=1, uint32_t stride1=1, uint32_t stride2=1, uint32_t pad_size=0, bool is_multiply=true)
 
Symbol mxnet::cpp::SequenceMask (Symbol data, Symbol sequence_length, bool use_sequence_length=false, mx_float value=0, int axis=0)
 
Symbol mxnet::cpp::choose_element_0index (Symbol lhs, Symbol rhs)
 
Symbol mxnet::cpp::fill_element_0index (Symbol lhs, Symbol mhs, Symbol rhs)
 

Detailed Description

definition of all the operators

Copyright (c) 2016 by Contributors

Author
Chuntao Hong, Xin Li
Generated on Thu Sep 19 2019 12:37:33 for mxnet by   doxygen 1.8.11