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| size_t  | mxnet::num_aux_data (NDArrayStorageType stype) | 
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| void  | mxnet::CopyFromTo (const NDArray &from, const NDArray *to, int priority=0) | 
|   | issue an copy operation from one NDArray to another the two ndarray can sit on different devices this operation will be scheduled by the engine  More...
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| void  | mxnet::CopyFromTo (const NDArray &from, const NDArray &to, int priority=0, bool is_opr=false) | 
|   | issue an copy operation from one NDArray to another the two ndarray can sit on different devices this operation will be scheduled by the engine  More...
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| void  | mxnet::ElementwiseSum (const std::vector< NDArray > &source, NDArray *out, int priority=0) | 
|   | Perform elementwise sum over each data from source, store result into out.  More...
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| NDArray  | mxnet::operator+ (const NDArray &lhs, const NDArray &rhs) | 
|   | elementwise add  More...
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| NDArray  | mxnet::operator+ (const NDArray &lhs, const real_t &rhs) | 
|   | elementwise add  More...
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| NDArray  | mxnet::operator- (const NDArray &lhs, const NDArray &rhs) | 
|   | elementwise subtraction  More...
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| NDArray  | mxnet::operator- (const NDArray &lhs, const real_t &rhs) | 
|   | elementwise subtraction  More...
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| NDArray  | mxnet::operator* (const NDArray &lhs, const NDArray &rhs) | 
|   | elementwise multiplication  More...
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| NDArray  | mxnet::operator* (const NDArray &lhs, const real_t &rhs) | 
|   | elementwise multiplication  More...
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| NDArray  | mxnet::operator/ (const NDArray &lhs, const NDArray &rhs) | 
|   | elementwise division  More...
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| NDArray  | mxnet::operator/ (const NDArray &lhs, const real_t &rhs) | 
|   | elementwise division  More...
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| void  | mxnet::RandomSeed (uint32_t seed) | 
|   | Seed all random number generator in mxnet.  More...
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| void  | mxnet::RandomSeed (Context ctx, uint32_t seed) | 
|   | Seed the random number generator of the device.  More...
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| void  | mxnet::SampleUniform (real_t begin, real_t end, NDArray *out) | 
|   | Sample uniform distribution for each elements of out.  More...
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| void  | mxnet::SampleGaussian (real_t mu, real_t sigma, NDArray *out) | 
|   | Sample gaussian distribution for each elements of out.  More...
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| void  | mxnet::SampleGamma (real_t alpha, real_t beta, NDArray *out) | 
|   | Sample gamma distribution for each elements of out.  More...
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| void  | mxnet::SampleExponential (real_t lambda, NDArray *out) | 
|   | Sample exponential distribution for each elements of out.  More...
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| void  | mxnet::SamplePoisson (real_t lambda, NDArray *out) | 
|   | Sample Poisson distribution for each elements of out.  More...
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| void  | mxnet::SampleNegBinomial (int32_t k, real_t p, NDArray *out) | 
|   | Sample negative binomial distribution for each elements of out.  More...
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| void  | mxnet::SampleGenNegBinomial (real_t mu, real_t alpha, NDArray *out) | 
|   | Sample generalized negative binomial distribution for each elements of out.  More...
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|   | dmlc::DMLC_DECLARE_TRAITS (has_saveload, mxnet::NDArray, true) | 
|   | traits  More...
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