versions/v0.9.1/Generator_8hpp_source.html

#ifndef _Generator_H_

#define _Generator_H_

#include "Type.hpp"

#include "Device.hpp"

#include "cytnx_error.hpp"

#include "Tensor.hpp"

#include <vector>

#include <initializer_list>

namespace cytnx {


  Tensor zeros(const cytnx_uint64 &Nelem, const unsigned int &dtype = Type.Double,

               const int &device = Device.cpu);

  Tensor zeros(const std::vector<cytnx_uint64> &Nelem, const unsigned int &dtype = Type.Double,

               const int &device = Device.cpu);


  Tensor identity(const cytnx_uint64 &Dim, const unsigned int &dtype = Type.Double,

                  const int &device = Device.cpu);


  Tensor eye(const cytnx_uint64 &Dim, const unsigned int &dtype = Type.Double,

             const int &device = Device.cpu);


  Tensor ones(const cytnx_uint64 &Nelem, const unsigned int &dtype = Type.Double,

              const int &device = Device.cpu);

  Tensor ones(const std::vector<cytnx_uint64> &Nelem, const unsigned int &dtype = Type.Double,

              const int &device = Device.cpu);


  Tensor arange(const cytnx_int64 &Nelem);

  Tensor arange(const cytnx_double &start, const cytnx_double &end, const cytnx_double &step = 1,

                const unsigned int &dtype = Type.Double, const int &device = Device.cpu);


  Tensor linspace(const cytnx_double &start, const cytnx_double &end, const cytnx_uint64 &Nelem,

                  const bool &endpoint = true, const unsigned int &dtype = Type.Double,

                  const int &device = Device.cpu);


  // Tensor rand(const std::vector<cytnx_uint64> &size);

  // Tensor randn(const std::vector<cytnx_uint64> &size);

  // Tensor normal(const cytnx_double &mean, cytnx_double &std);


}  // namespace cytnx


#endif

Device.hpp

Tensor.hpp

Type.hpp

cytnx_error.hpp

cytnx
Definition Accessor.hpp:12

cytnx::Device
Device_class Device
data on which devices.
Definition Device.cpp:140

cytnx::cytnx_double
double cytnx_double
Definition Type.hpp:43

cytnx::linspace
Tensor linspace(const cytnx_double &start, const cytnx_double &end, const cytnx_uint64 &Nelem, const bool &endpoint=true, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
Definition Generator.cpp:80

cytnx::arange
Tensor arange(const cytnx_int64 &Nelem)
create an rank-1 Tensor with incremental unsigned integer elements start with [0,Nelem)
Definition Generator.cpp:75

cytnx::ones
Tensor ones(const cytnx_uint64 &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
create an rank-1 Tensor with all the elements are initialized with one.
Definition Generator.cpp:25

cytnx::cytnx_uint64
uint64_t cytnx_uint64
Definition Type.hpp:45

cytnx::cytnx_int64
int64_t cytnx_int64
Definition Type.hpp:48

cytnx::zeros
Tensor zeros(const cytnx_uint64 &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
create an rank-1 Tensor with all the elements are initialized with zero.
Definition Generator.cpp:10

cytnx::Type
Type_class Type
data type
Definition Type.cpp:23

cytnx::identity
Tensor identity(const cytnx_uint64 &Dim, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
create an square rank-2 Tensor with all diagonal to be one.
Definition Generator.cpp:37

cytnx::eye
Tensor eye(const cytnx_uint64 &Dim, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
create an square rank-2 Tensor with all diagonal to be one.
Definition Generator.cpp:41