diff --git a/classTensor-members.html b/classTensor-members.html index db46d8f..2eb6bcc 100644 --- a/classTensor-members.html +++ b/classTensor-members.html @@ -68,32 +68,37 @@

This is the complete list of members for Tensor, including all inherited members.

+ + - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + - - - + + + +
backward() constTensor
cumsum(int dim) constTensor
device(NTdtypes::deviceType device)Tensor
dType(NTdtypes::scalarType type) (defined in Tensor)Tensor
getTensorLibrary()Tensorstatic
imag() constTensor
matmul(const Tensor &t1, const Tensor &t2)Tensorstatic
matmul_(const Tensor &t2)Tensor
ones(int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)Tensor
ones(const std::vector< long int > &shape, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)Tensor
operator!=(const Tensor &rhs) const (defined in Tensor)Tensor
operator+(const Tensor &rhs) const (defined in Tensor)Tensor
operator-(const Tensor &rhs) const (defined in Tensor)Tensor
operator-() const (defined in Tensor)Tensor
operator<<(std::ostream &stream, const Tensor &tensor)Tensorfriend
operator==(const Tensor &rhs) const (defined in Tensor)Tensor
real() constTensor
scale(float s, const Tensor &t)Tensorstatic
scale(std::complex< float > s, const Tensor &t)Tensorstatic
grad() constTensor
imag() constTensor
matmul(const Tensor &t1, const Tensor &t2)Tensorstatic
matmul_(const Tensor &t2)Tensor
ones(int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)Tensor
ones(const std::vector< long int > &shape, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)Tensor
operator!=(const Tensor &rhs) const (defined in Tensor)Tensor
operator+(const Tensor &rhs) const (defined in Tensor)Tensor
operator-(const Tensor &rhs) const (defined in Tensor)Tensor
operator-() const (defined in Tensor)Tensor
operator<<(std::ostream &stream, const Tensor &tensor)Tensorfriend
operator==(const Tensor &rhs) const (defined in Tensor)Tensor
real() constTensor
requiresGrad(bool reqGrad)Tensor
scale(float s, const Tensor &t)Tensorstatic
scale(std::complex< float > s, const Tensor &t)Tensorstatic
scale_(float s)Tensor
scale_(std::complex< float > s)Tensor
setValue(const Tensor &indices, const Tensor &value)Tensor
setValue(const std::vector< int > &indices, const Tensor &value) (defined in Tensor)Tensor
setValue(const std::vector< int > &indices, float value) (defined in Tensor)Tensor
setValue(const std::vector< int > &indices, std::complex< float > value) (defined in Tensor)Tensor
toString() constTensor
zeros(int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)Tensor
zeros(const std::vector< long int > &shape, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)Tensor
sum() constTensor
toString() constTensor
zeros(int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)Tensor
zeros(const std::vector< long int > &shape, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)Tensor
diff --git a/classTensor.html b/classTensor.html index ce97a6d..24df987 100644 --- a/classTensor.html +++ b/classTensor.html @@ -84,6 +84,13 @@ Tensor imag () const  Get the imaginary part of a complex tensor.
  +Tensor cumsum (int dim) const + Get the result of summing this tensor over some dimension. More...
+  + +Tensor sum () const + Get the result of summing this tensor over all dimensions.
+  std::string toString () const  Print this object to a summary string.
@@ -103,16 +110,16 @@
Initialisers

Use these methods to initialise the tensor

-Tensor & ones (int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true) +Tensor & ones (int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)  Initialise this tensor with ones. More...
  -Tensor & ones (const std::vector< long int > &shape, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true) +Tensor & ones (const std::vector< long int > &shape, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)  Initialise this tensor with ones. More...
  -Tensor & zeros (int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true) +Tensor & zeros (int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)  Initialise this tensor with zeros. More...
  -Tensor & zeros (const std::vector< long int > &shape, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true) +Tensor & zeros (const std::vector< long int > &shape, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)  Initialise this tensor with zeros. More...
 
Setters
@@ -125,6 +132,10 @@ Tensor & device (NTdtypes::deviceType device)  Set the device that this tensor lives on.
  + +Tensor & requiresGrad (bool reqGrad) + Set whether the tensor requires a gradient.
+ 
Mathematical

mathematical function overrides, generally work as expected, unless otherwise noted

@@ -143,6 +154,15 @@ Tensor operator- () const   +
Gradients
+ +void backward () const + Compute gradients of this tensor with respect to leaves Those can then be accessed using gradient()
+  + +Tensor grad () const + Return a tensor containing the accumulated gradients calculated for this tensor after calling backward()
+  @@ -173,12 +193,12 @@ - - - - - - + + + + + +

Static Public Member Functions

static Tensor matmul (const Tensor &t1, const Tensor &t2)
 Multiply two matrices together. More...
 
static Tensor scale (float s, const Tensor &t)
 Scale a matrix by some scalar. More...
 
static Tensor scale (std::complex< float > s, const Tensor &t)
 Scale a matrix by some complex scalar. More...
 
static Tensor scale (float s, const Tensor &t)
 Scale a matrix by some scalar. More...
 
static Tensor scale (std::complex< float > s, const Tensor &t)
 Scale a matrix by some complex scalar. More...
 

Detailed Description

Basic tensor class.

@@ -191,6 +211,32 @@

will get you a 3x3 tensor of floats that lives on the GPU. This is equivalent to

Tensor t;
t.ones({3,3}, NTdtypes::kFloat, NTdtypes::kGPU);

Member Function Documentation

+ +

◆ cumsum()

+ +
+
+ + + + + + + + +
Tensor Tensor::cumsum (int dim) const
+
+ +

Get the result of summing this tensor over some dimension.

+
Parameters
+ + +
dimThe dimension to sum over
+
+
+ +
+

◆ matmul()

@@ -348,8 +394,8 @@

-

◆ scale() [1/2]

+ +

◆ scale() [1/2]

@@ -358,7 +404,7 @@

- + @@ -390,8 +436,8 @@

-

◆ scale() [2/2]

+ +

◆ scale() [2/2]

@@ -400,7 +446,7 @@

static Tensor Tensor::scale Tensor Tensor::scale ( float  s,
- + diff --git a/functions.html b/functions.html index 2897488..ca7e0e5 100644 --- a/functions.html +++ b/functions.html @@ -62,12 +62,21 @@
Here is a list of all documented class members with links to the class documentation for each member:
    +
  • backward() +: Tensor +
    • +
  • cumsum() +: Tensor +
  • device() : Tensor
  • getTensorLibrary() : Tensor
    • +
  • grad() +: Tensor +
  • imag() : Tensor
    • @@ -86,8 +95,11 @@
  • real() : Tensor
    • +
  • requiresGrad() +: Tensor +
  • scale() -: Tensor +: Tensor
  • scale_() : Tensor @@ -95,6 +107,9 @@
  • setValue() : Tensor
    • +
  • sum() +: Tensor +
  • toString() : Tensor
    • diff --git a/functions_func.html b/functions_func.html index 07799d0..b82e024 100644 --- a/functions_func.html +++ b/functions_func.html @@ -62,12 +62,21 @@
     
      +
    • backward() +: Tensor +
      • +
    • cumsum() +: Tensor +
    • device() : Tensor
    • getTensorLibrary() : Tensor
      • +
    • grad() +: Tensor +
    • imag() : Tensor
      • @@ -83,8 +92,11 @@
    • real() : Tensor
      • +
    • requiresGrad() +: Tensor +
    • scale() -: Tensor +: Tensor
    • scale_() : Tensor @@ -92,6 +104,9 @@
    • setValue() : Tensor
      • +
    • sum() +: Tensor +
    • toString() : Tensor
      • diff --git a/search/all_0.js b/search/all_0.js index 2ada480..1962d67 100644 --- a/search/all_0.js +++ b/search/all_0.js @@ -1,4 +1,4 @@ var searchData= [ - ['device_0',['device',['../classTensor.html#a54b317bee953ffa8463122635afcd369',1,'Tensor']]] + ['backward_0',['backward',['../classTensor.html#aa2e961897f7a4e1fc82b9149e86aeec2',1,'Tensor']]] ]; diff --git a/search/all_1.js b/search/all_1.js index 82155c4..8b75780 100644 --- a/search/all_1.js +++ b/search/all_1.js @@ -1,4 +1,4 @@ var searchData= [ - ['gettensorlibrary_1',['getTensorLibrary',['../classTensor.html#a4769ffbca778565253f564b1a8970dfd',1,'Tensor']]] + ['cumsum_1',['cumsum',['../classTensor.html#a6166f6d8b00db004ffd1d5944571d10d',1,'Tensor']]] ]; diff --git a/search/all_2.js b/search/all_2.js index adffc76..58a37c5 100644 --- a/search/all_2.js +++ b/search/all_2.js @@ -1,4 +1,4 @@ var searchData= [ - ['imag_2',['imag',['../classTensor.html#a2b0e1fa60ec56c24b352be6406664045',1,'Tensor']]] + ['device_2',['device',['../classTensor.html#a54b317bee953ffa8463122635afcd369',1,'Tensor']]] ]; 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diff --git a/search/functions_7.js b/search/functions_7.js index 36b1311..86ebbd3 100644 --- a/search/functions_7.js +++ b/search/functions_7.js @@ -1,4 +1,5 @@ var searchData= [ - ['tostring_27',['toString',['../classTensor.html#ad2c052b4150fd71d91a2185873f75bb6',1,'Tensor']]] + ['real_31',['real',['../classTensor.html#a0dba8476df4f61a625a7d836fd4c4646',1,'Tensor']]], + ['requiresgrad_32',['requiresGrad',['../classTensor.html#acda45d6bb19fe1566f2d75c97e99c7a8',1,'Tensor']]] ]; diff --git a/search/functions_8.js b/search/functions_8.js index 516fabd..7e0f6ea 100644 --- a/search/functions_8.js +++ b/search/functions_8.js @@ -1,4 +1,7 @@ var searchData= [ - ['zeros_28',['zeros',['../classTensor.html#a6007e789c8e4f519867fbbfa91ba8b14',1,'Tensor::zeros(int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)'],['../classTensor.html#aa9b084ce7c42cd5ef8bb34d6b54ed917',1,'Tensor::zeros(const std::vector< long int > &shape, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)']]] + ['scale_33',['scale',['../classTensor.html#af7ed98a023e3b3d3cb1a6ed741c0ca96',1,'Tensor::scale(float s, const Tensor &t)'],['../classTensor.html#a2701fdcfa1100a231ebcfe6fb7130984',1,'Tensor::scale(std::complex< float > s, const Tensor &t)']]], + ['scale_5f_34',['scale_',['../classTensor.html#a263f536bf8f4782837b602352ceb3cf6',1,'Tensor::scale_(float s)'],['../classTensor.html#a0e5339a30f70f6951abfcf26fd462ce1',1,'Tensor::scale_(std::complex< float > s)']]], + ['setvalue_35',['setValue',['../classTensor.html#a1fe34f8072b6b29ab72777f45010ae97',1,'Tensor']]], + ['sum_36',['sum',['../classTensor.html#a369f0f04a516d32b5e2bb246487282f5',1,'Tensor']]] ]; 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      13 
      34  public:
      38 
      -
      42  Tensor& ones(int length, NTdtypes::scalarType type, NTdtypes::deviceType device = NTdtypes::kCPU, bool requiresGrad = true);
      -
      46  Tensor& ones(const std::vector<long int> &shape, NTdtypes::scalarType type, NTdtypes::deviceType device = NTdtypes::kCPU, bool requiresGrad = true);
      +
      42  Tensor &ones(int length, NTdtypes::scalarType type, NTdtypes::deviceType device = NTdtypes::kCPU, bool requiresGrad = true);
      +
      46  Tensor &ones(const std::vector<long int> &shape, NTdtypes::scalarType type, NTdtypes::deviceType device = NTdtypes::kCPU, bool requiresGrad = true);
      47 
      -
      51  Tensor &zeros(int length, NTdtypes::scalarType type, NTdtypes::deviceType device = NTdtypes::kCPU, bool requiresGrad = true);
      -
      55  Tensor &zeros(const std::vector<long int> &shape, NTdtypes::scalarType type, NTdtypes::deviceType device = NTdtypes::kCPU, bool requiresGrad = true);
      +
      51  Tensor &zeros(int length, NTdtypes::scalarType type, NTdtypes::deviceType device = NTdtypes::kCPU, bool requiresGrad = true);
      +
      55  Tensor &zeros(const std::vector<long int> &shape, NTdtypes::scalarType type, NTdtypes::deviceType device = NTdtypes::kCPU, bool requiresGrad = true);
      56 
      58 
      -
      62  Tensor& dType(NTdtypes::scalarType type);
      -
      64  Tensor& device(NTdtypes::deviceType device);
      -
      66 
      -
      70 
      -
      74  static Tensor matmul(const Tensor &t1, const Tensor &t2);
      -
      75 
      -
      79  static Tensor scale(float s, const Tensor &t);
      -
      83  static Tensor scale(std::complex<float> s, const Tensor &t);
      -
      84 
      -
      87  void matmul_(const Tensor &t2);
      -
      88 
      -
      89 
      -
      92  void scale_(float s);
      -
      95  void scale_(std::complex<float> s);
      -
      96 
      +
      62  Tensor &dType(NTdtypes::scalarType type);
      +
      64  Tensor &device(NTdtypes::deviceType device);
      +
      66  Tensor &requiresGrad(bool reqGrad);
      +
      68 
      +
      72 
      +
      76  static Tensor matmul(const Tensor &t1, const Tensor &t2);
      +
      77 
      +
      81  static Tensor scale(float s, const Tensor &t);
      +
      85  static Tensor scale(std::complex<float> s, const Tensor &t);
      +
      86 
      +
      89  void matmul_(const Tensor &t2);
      +
      90 
      +
      91 
      +
      94  void scale_(float s);
      +
      97  void scale_(std::complex<float> s);
      98 
      -
      102  bool operator== (const Tensor &rhs) const;
      -
      103  bool operator!= (const Tensor &rhs) const;
      -
      104  Tensor operator+ (const Tensor &rhs) const;
      -
      105  Tensor operator- (const Tensor &rhs) const;
      -
      106  Tensor operator- () const;
      -
      108 
      -
      110  Tensor real() const;
      -
      112  Tensor imag() const;
      -
      113 
      -
      115  friend std::ostream &operator<< (std::ostream& stream, const Tensor& tensor) {
      -
      116  return stream << tensor.toString();
      -
      117  };
      -
      118 
      -
      120  std::string toString() const ;
      -
      121 
      -
      125  void setValue(const Tensor &indices, const Tensor &value);
      -
      126  void setValue(const std::vector<int> &indices, const Tensor &value);
      -
      127  void setValue(const std::vector<int> &indices, float value);
      -
      128  void setValue(const std::vector<int> &indices, std::complex<float> value);
      +
      100 
      +
      104  bool operator== (const Tensor &rhs) const;
      +
      105  bool operator!= (const Tensor &rhs) const;
      +
      106  Tensor operator+ (const Tensor &rhs) const;
      +
      107  Tensor operator- (const Tensor &rhs) const;
      +
      108  Tensor operator- () const;
      +
      110 
      +
      112  Tensor real() const;
      +
      114  Tensor imag() const;
      +
      115 
      +
      118  Tensor cumsum(int dim) const;
      +
      119 
      +
      121  Tensor sum() const;
      +
      122 
      +
      125 
      +
      128  void backward() const;
      129 
      -
      130 
      -
      131 
      -
      132  // Defining this here as it has to be in a header due to using template :(
      -
      133 #if USE_PYTORCH
      -
      136  template <typename T>
      -
      137  inline T getValue(const std::vector<int> &indices){
      -
      138  std::vector<at::indexing::TensorIndex> indicesVec;
      -
      139  for(size_t i = 0; i < indices.size(); i++){
      -
      140  indicesVec.push_back(at::indexing::TensorIndex(indices[i]));
      -
      141  }
      -
      142 
      -
      143  return _tensor.index(indicesVec).item<T>();
      -
      144  }
      -
      145 #endif
      -
      146 
      -
      148  static std::string getTensorLibrary();
      -
      149 
      -
      150 #if USE_PYTORCH
      -
      151  public:
      -
      152  inline const torch::Tensor &getTensor() const { return _tensor; }
      -
      153  protected:
      -
      154  torch::Tensor _tensor;
      -
      155 #endif
      -
      156 };
      +
      131  Tensor grad() const;
      +
      132 
      +
      134 
      +
      135 
      +
      137  friend std::ostream &operator<< (std::ostream &stream, const Tensor &tensor) {
      +
      138  return stream << tensor.toString();
      +
      139  };
      +
      140 
      +
      142  std::string toString() const ;
      +
      143 
      +
      147  void setValue(const Tensor &indices, const Tensor &value);
      +
      148  void setValue(const std::vector<int> &indices, const Tensor &value);
      +
      149  void setValue(const std::vector<int> &indices, float value);
      +
      150  void setValue(const std::vector<int> &indices, std::complex<float> value);
      +
      151 
      +
      152 
      +
      153 
      +
      154  // Defining this here as it has to be in a header due to using template :(
      +
      155 #if USE_PYTORCH
      +
      158  template <typename T>
      +
      159  inline T getValue(const std::vector<int> &indices){
      +
      160  std::vector<at::indexing::TensorIndex> indicesVec;
      +
      161  for(size_t i = 0; i < indices.size(); i++){
      +
      162  indicesVec.push_back(at::indexing::TensorIndex(indices[i]));
      +
      163  }
      +
      164 
      +
      165  return _tensor.index(indicesVec).item<T>();
      +
      166  }
      +
      167 
      +
      168  template <typename T>
      +
      169  inline T getValue(){
      +
      170  return _tensor.item<T>();
      +
      171  }
      +
      172 #endif
      +
      173 
      +
      175  static std::string getTensorLibrary();
      +
      176 
      +
      177 #if USE_PYTORCH
      +
      178  public:
      +
      179  inline const torch::Tensor &getTensor() const { return _tensor; }
      +
      180  protected:
      +
      181  torch::Tensor _tensor;
      +
      182 #endif
      +
      183 };
      Tensor
      Basic tensor class.
      Definition: tensor.hpp:12
      -
      Tensor::matmul
      static Tensor matmul(const Tensor &t1, const Tensor &t2)
      Multiply two matrices together.
      Definition: torch-tensor.cpp:100
      -
      Tensor::real
      Tensor real() const
      Get the real part of a complex tensor.
      Definition: torch-tensor.cpp:110
      +
      Tensor::matmul
      static Tensor matmul(const Tensor &t1, const Tensor &t2)
      Multiply two matrices together.
      Definition: torch-tensor.cpp:105
      +
      Tensor::real
      Tensor real() const
      Get the real part of a complex tensor.
      Definition: torch-tensor.cpp:135
      Tensor::scale_
      void scale_(std::complex< float > s)
      Inline complex matrix scaling.
      -
      Tensor::setValue
      void setValue(const Tensor &indices, const Tensor &value)
      Set the value at a particular index of the tensor.
      Definition: torch-tensor.cpp:69
      +
      Tensor::setValue
      void setValue(const Tensor &indices, const Tensor &value)
      Set the value at a particular index of the tensor.
      Definition: torch-tensor.cpp:74
      Tensor::scale_
      void scale_(float s)
      Inline matrix scaling.
      -
      Tensor::imag
      Tensor imag() const
      Get the imaginary part of a complex tensor.
      Definition: torch-tensor.cpp:116
      +
      Tensor::imag
      Tensor imag() const
      Get the imaginary part of a complex tensor.
      Definition: torch-tensor.cpp:141
      +
      Tensor::sum
      Tensor sum() const
      Get the result of summing this tensor over all dimensions.
      Definition: torch-tensor.cpp:180
      Tensor::getTensorLibrary
      static std::string getTensorLibrary()
      Get the name of the backend library used to deal with tensors.
      Definition: torch-tensor.cpp:21
      Tensor::device
      Tensor & device(NTdtypes::deviceType device)
      Set the device that this tensor lives on.
      Definition: torch-tensor.cpp:63
      Tensor::zeros
      Tensor & zeros(int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)
      Initialise this tensor with zeros.
      Definition: torch-tensor.cpp:44
      -
      Tensor::matmul_
      void matmul_(const Tensor &t2)
      Inline matrix multiplication.
      Definition: torch-tensor.cpp:106
      +
      Tensor::cumsum
      Tensor cumsum(int dim) const
      Get the result of summing this tensor over some dimension.
      Definition: torch-tensor.cpp:174
      +
      Tensor::matmul_
      void matmul_(const Tensor &t2)
      Inline matrix multiplication.
      Definition: torch-tensor.cpp:123
      Tensor::ones
      Tensor & ones(int length, NTdtypes::scalarType type, NTdtypes::deviceType device=NTdtypes::kCPU, bool requiresGrad=true)
      Initialise this tensor with ones.
      Definition: torch-tensor.cpp:25
      -
      Tensor::scale
      static Tensor scale(float s, const Tensor &t)
      Scale a matrix by some scalar.
      -
      Tensor::scale
      static Tensor scale(std::complex< float > s, const Tensor &t)
      Scale a matrix by some complex scalar.
      -
      Tensor::operator<<
      friend std::ostream & operator<<(std::ostream &stream, const Tensor &tensor)
      Overwrite the << operator to print this tensor out to the command line.
      Definition: tensor.hpp:115
      -
      Tensor::toString
      std::string toString() const
      Print this object to a summary string.
      Definition: torch-tensor.cpp:148
      +
      Tensor::grad
      Tensor grad() const
      Return a tensor containing the accumulated gradients calculated for this tensor after calling backwar...
      Definition: torch-tensor.cpp:190
      +
      Tensor::backward
      void backward() const
      Compute gradients of this tensor with respect to leaves Those can then be accessed using gradient()
      Definition: torch-tensor.cpp:186
      +
      Tensor::operator<<
      friend std::ostream & operator<<(std::ostream &stream, const Tensor &tensor)
      Overwrite the << operator to print this tensor out to the command line.
      Definition: tensor.hpp:137
      +
      Tensor::requiresGrad
      Tensor & requiresGrad(bool reqGrad)
      Set whether the tensor requires a gradient.
      Definition: torch-tensor.cpp:68
      +
      Tensor::toString
      std::string toString() const
      Print this object to a summary string.
      Definition: torch-tensor.cpp:196
      +
      Tensor::scale
      static Tensor scale(float s, const Tensor &t)
      Scale a matrix by some scalar.
      Definition: torch-tensor.cpp:111
static Tensor Tensor::scale Tensor Tensor::scale ( std::complex< float >  s,