| gaussian(Shape< dim > shape) | mshadow::Random< cpu, DType > | inline |
| GetRandInt() | mshadow::Random< cpu, DType > | inline |
| GetRandInt(const Tensor< cpu, 1, unsigned > &dst) | mshadow::Random< cpu, DType > | inline |
| GetRndEngine() | mshadow::Random< cpu, DType > | inline |
| GetSeed() const | mshadow::Random< cpu, DType > | inline |
| Random(int seed) | mshadow::Random< cpu, DType > | inlineexplicit |
| SampleDistribution(Tensor< cpu, dim, DType > *dst, Sampler sampler) | mshadow::Random< cpu, DType > | inline |
| SampleExponential(Tensor< cpu, dim, DType > *dst, PType lambda) | mshadow::Random< cpu, DType > | inline |
| SampleGamma(Tensor< cpu, dim, DType > *dst, PType alpha, PType beta) | mshadow::Random< cpu, DType > | inline |
| SampleGaussian(Tensor< cpu, dim, DType > *dst, PType mu=0.0f, PType sigma=1.0f) | mshadow::Random< cpu, DType > | inline |
| SampleGeneralizedNegativeBinomial(Tensor< cpu, dim, DType > *dst, PType mu, PType alpha) | mshadow::Random< cpu, DType > | inline |
| SampleNegativeBinomial(Tensor< cpu, dim, DType > *dst, PType1 k, PType2 p) | mshadow::Random< cpu, DType > | inline |
| SamplePoisson(Tensor< cpu, dim, DType > *dst, PType lambda) | mshadow::Random< cpu, DType > | inline |
| SampleUniform(Tensor< cpu, dim, DType > *dst, PType a=0.0f, PType b=1.0f) | mshadow::Random< cpu, DType > | inline |
| Seed(int seed) | mshadow::Random< cpu, DType > | inline |
| set_stream(Stream< cpu > *stream) | mshadow::Random< cpu, DType > | inline |
| uniform(Shape< dim > shape) | mshadow::Random< cpu, DType > | inline |
| ~Random(void) | mshadow::Random< cpu, DType > | inline |
