open3d.core

Classes

Blob
Device	Device context specifying device type and device id.
Dtype	Open3D data types.
DynamicSizeVector	A vector of integers for specifying shape, strides, etc.
HashMap	A HashMap is an unordered map from key to value wrapped by Tensors.
HashSet	A HashSet is an unordered set of keys wrapped by Tensors.
Scalar	A Scalar can store one of {double, int64, bool}.
SizeVector	A vector of integers for specifying shape, strides, etc.
Tensor	A Tensor is a view of a data Blob with shape, stride, data_ptr.

Functions

addmm(input, A, B, alpha, beta)	Function to perform addmm of two 2D tensors with compatible shapes.
append(self, values[, axis])	Appends the values tensor to the self tensor, along the given axis and returns a new tensor.
concatenate(tensors[, axis])	Concatenates the list of tensors in their order, along the given axis into a new tensor.
det(A)	Function to compute determinant of a 2D square tensor.
inv(A)	Function to inverse a square 2D tensor.
lstsq(A, B)	Function to solve X for a linear system AX = B where A is a full rank matrix.
lu(A[, permute_l])	Function to compute LU factorisation of a square 2D tensor.
lu_ipiv(A)	Function to compute LU factorisation of a square 2D tensor.
matmul(A, B)	Function to perform matrix multiplication of two 2D tensors with compatible shapes.
maximum(input, other)	Computes the element-wise maximum of input and other.
minimum(input, other)	Computes the element-wise minimum of input and other.
solve(A, B)	Function to solve X for a linear system AX = B where A is a square matrix
svd(A)	Function to decompose A with A = U S VT.
sycl_demo()
tril(A[, diagonal])	Function to get lower triangular matrix, below diagonal
triu(A[, diagonal])	Function to get upper triangular matrix, above diagonal
triul(A[, diagonal])	Function to get both upper and lower triangular matrix

Modules

nns