Tensor
Namespace: Tensor
An N-dimensional array with elements of type 'T.
Static members
| Static member | Description |
allFinite(a)
Signature: a:Tensor<'T> -> bool
Type parameters: 'T |
Returns true if all values in the tensor are finite (not NaN and not infinite). |
almostEqual(a b)
Signature: a:Tensor<'T> -> b:Tensor<'T> -> bool
Type parameters: 'T |
Returns true if two tensors have same (within machine precision) values in all elements. If tensors have different shape, then false is returned. |
almostEqualWithTol(a, b, absTol, relTol)
Signature: (a:Tensor<'T> * b:Tensor<'T> * absTol:'T option * relTol:'T option) -> bool
Type parameters: 'T |
Returns true if two tensors have same (within specified precision) values in all elements. If tensors have different shape, then false is returned. |
arange(dev nElems)
Signature: dev:ITensorDevice -> nElems:int64 -> Tensor<int64>
|
Int64 vector containing the numbers [0L; 1L; ...; nElems-1L]. |
bool(a)
Signature: a:Tensor<'?182104> -> Tensor<bool>
Type parameters: '?182104 |
convert tensor data type to bool |
byte(a)
Signature: a:Tensor<'?182106> -> Tensor<byte>
Type parameters: '?182106 |
convert tensor data type to byte |
concat(ax ts)
Signature: ax:int -> ts:seq<Tensor<'T>> -> Tensor<'T>
Type parameters: 'T |
Concatenates the sequence of tensors along the given axis. |
diag(a)
Signature: a:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
Returns a view of the diagonal of a matrix as a vector. If the specified tensor has more than two dimensions, the diagonals along the last two dimensions are returned. |
diagAxis(ax1 ax2 a)
Signature: ax1:int -> ax2:int -> a:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
Returns a view of the diagonal along the given axes. The diagonal replaces the first axis and the second axis is removed. |
diagMat(a)
Signature: a:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
Creates a new matrix that has the specified diagonal. All other elements are zero. If the specified array has more than one dimension, the operation is performed batch-wise on the last dimension. |
diagMatAxis(ax1 ax2 a)
Signature: ax1:int -> ax2:int -> a:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
Creates a new tensor of same shape but with ax2 inserted. The diagonal over ax1 and ax2 is filled with the elements of the original ax1. The other elements are set to zero. |
diff(a)
Signature: a:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
calculates the pairwise differences along the last axis |
diffAxis(ax a)
Signature: ax:int -> a:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
calculates the pairwise differences along the given axis |
double(a)
Signature: a:Tensor<'?182128> -> Tensor<double>
Type parameters: '?182128 |
convert tensor data type to double |
falses(dev shape)
Signature: dev:ITensorDevice -> (shape:int64 list) -> Tensor<bool>
|
Creates a new boolean tensor of given shape filled with false. |
filled(dev shape value)
Signature: dev:ITensorDevice -> (shape:int64 list) -> value:'T -> Tensor<'T>
Type parameters: 'T |
Creates a tensor filled with the specified value. |
fillLinspace(start stop a)
Signature: start:^V -> stop:^V -> a:Tensor<^V> -> unit
Type parameters: ^V, ^?182095, ^?182096, ^?182097 |
Fills the vector with linearly spaced values from start to (including) stop. |
float(a)
Signature: a:Tensor<'?182130> -> Tensor<float>
Type parameters: '?182130 |
convert tensor data type to float |
float32(a)
Signature: a:Tensor<'?182132> -> Tensor<float32>
Type parameters: '?182132 |
convert tensor data type to float32 |
identity(dev size)
Signature: dev:ITensorDevice -> size:int64 -> Tensor<'T>
Type parameters: 'T |
Identity matrix of given size. |
init(dev shape fn)
Signature: dev:ITensorDevice -> (shape:int64 list) -> (fn:(int64 [] -> 'T)) -> Tensor<'T>
Type parameters: 'T |
Creates a tensor with the values returned by the function. |
int(a)
Signature: a:Tensor<'?182122> -> Tensor<int>
Type parameters: '?182122 |
convert tensor data type to int |
int16(a)
Signature: a:Tensor<'?182110> -> Tensor<int16>
Type parameters: '?182110 |
convert tensor data type to int16 |
int32(a)
Signature: a:Tensor<'?182114> -> Tensor<int32>
Type parameters: '?182114 |
convert tensor data type to int32 |
int64(a)
Signature: a:Tensor<'?182118> -> Tensor<int64>
Type parameters: '?182118 |
convert tensor data type to int64 |
isClose(a b)
Signature: a:Tensor<'?182136> -> b:Tensor<'?182136> -> Tensor<bool>
Type parameters: '?182136 |
Element-wise check if two tensors have same (within machine precision) values. Checks for exact equality for non-floating-point types. |
isCloseWithTol(a, b, absTol, relTol)
Signature: (a:Tensor<'T> * b:Tensor<'T> * absTol:'T option * relTol:'T option) -> Tensor<bool>
Type parameters: 'T |
Element-wise check if two tensors have same (within machine precision) values. Checks for exact equality for non-floating-point types. |
linspace(dev start stop nElems)
Signature: dev:ITensorDevice -> start:^V -> stop:^V -> nElems:int64 -> Tensor<^V>
Type parameters: ^V, ^e, ^f, ^g |
Creates a one-dimensional tensor filled with linearly spaced values from start to (including) stop. |
mean(a)
Signature: a:Tensor<'?182146> -> Tensor<'?182146>
Type parameters: '?182146 |
mean |
meanAxis(axis a)
Signature: axis:int -> a:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
mean over given axis |
nativeint(a)
Signature: a:Tensor<'?182124> -> Tensor<nativeint>
Type parameters: '?182124 |
convert tensor data type to nativeint |
NewOfType(shape, dataType, dev, order)
Signature: (shape:int64 list * dataType:Type * dev:ITensorDevice * order:TensorOrder option) -> ITensor
|
Creates a new tensor of the given shape and data type. |
norm(a, ord)
Signature: (a:Tensor<'T> * ord:'T option) -> Tensor<'T>
Type parameters: 'T |
tensor, matrix or vector norm of given order |
normAxis(axis, a, ord)
Signature: (axis:int * a:Tensor<'T> * ord:'T option) -> Tensor<'T>
Type parameters: 'T |
tensor, matrix or vector norm of given order over given axis |
ofBlocks(bs)
Signature: bs:BlockTensor<'T> -> Tensor<'T>
Type parameters: 'T |
tensor constructed of subtensors using a BlockTensor specification |
ones(dev shape)
Signature: dev:ITensorDevice -> (shape:int64 list) -> Tensor<'T>
Type parameters: 'T |
Creates a new tensor of given shape filled with ones. |
onesLike(tmpl)
Signature: tmpl:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
Tensor of same shape as specifed tensor and filled with ones. |
replicate(ax reps a)
Signature: ax:int -> reps:int64 -> a:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
Replicates the tensor the given number of repetitions along the given axis. |
sbyte(a)
Signature: a:Tensor<'?182108> -> Tensor<sbyte>
Type parameters: '?182108 |
convert tensor data type to sbyte |
scalar(dev value)
Signature: dev:ITensorDevice -> value:'T -> Tensor<'T>
Type parameters: 'T |
Creates a new tensor of scalar shape with the given value and storage. |
scalarLike(tmpl value)
Signature: tmpl:ITensor -> value:'T -> Tensor<'T>
Type parameters: 'T |
Creates a new tensor of scalar shape with the given value and same storage as the specified tensor. |
single(a)
Signature: a:Tensor<'?182126> -> Tensor<single>
Type parameters: '?182126 |
convert tensor data type to single |
std(a, ddof)
Signature: (a:Tensor<'?182154> * ddof:int64 option) -> Tensor<'?182154>
Type parameters: '?182154 |
standard deviation |
stdAxis(ax, a, ddof)
Signature: (ax:int * a:Tensor<'?182152> * ddof:int64 option) -> Tensor<'?182152>
Type parameters: '?182152 |
standard deviation over given axis |
tensorProduct(a b)
Signature: a:Tensor<'T> -> b:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
tensor product |
trace(a)
Signature: a:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
Computes the trace of a matrix. If the specified tensor has more than two dimensions, the traces along the last two dimensions are returned. |
traceAxis(ax1 ax2 a)
Signature: ax1:int -> ax2:int -> a:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
Computes the traces along the given axes. |
trues(dev shape)
Signature: dev:ITensorDevice -> (shape:int64 list) -> Tensor<bool>
|
Creates a new boolean tensor of given shape filled with true. |
uint16(a)
Signature: a:Tensor<'?182112> -> Tensor<uint16>
Type parameters: '?182112 |
convert tensor data type to uint16 |
uint32(a)
Signature: a:Tensor<'?182116> -> Tensor<uint32>
Type parameters: '?182116 |
convert tensor data type to uint32 |
uint64(a)
Signature: a:Tensor<'?182120> -> Tensor<uint64>
Type parameters: '?182120 |
convert tensor data type to uint64 |
var(a, ddof)
Signature: (a:Tensor<'?182150> * ddof:int64 option) -> Tensor<'?182150>
Type parameters: '?182150 |
variances |
varAxis(axis, a, ddof)
Signature: (axis:int * a:Tensor<'T> * ddof:int64 option) -> Tensor<'T>
Type parameters: 'T |
variance over given axis |
zeros(dev shape)
Signature: dev:ITensorDevice -> (shape:int64 list) -> Tensor<'T>
Type parameters: 'T |
Creates a new tensor of given shape filled with zeros. |
zerosLike(tmpl)
Signature: tmpl:Tensor<'T> -> Tensor<'T>
Type parameters: 'T |
Tensor of same shape as specifed tensor and filled with zeros. |
