LostTech.TensorFlow : API Documentation

Type ILinearOperator

Namespace tensorflow.linalg

Interfaces IModule

Methods

Properties

Public instance methods

object add_to_tensor(object x, object name)

object adjoint(object name)

object assert_non_singular(object name)

object assert_positive_definite(object name)

object assert_self_adjoint(object name)

object batch_shape_tensor(object name)

object cholesky(object name)

object determinant(object name)

object diag_part(object name)

object domain_dimension_tensor(object name)

object inverse(object name)

object log_abs_determinant(object name)

object matmul(object x, object adjoint, object adjoint_arg, object name)

object matvec(object x, object adjoint, object name)

object range_dimension_tensor(object name)

object shape_tensor(object name)

object solve(object rhs, object adjoint, object adjoint_arg, object name)

object solvevec(object rhs, object adjoint, object name)

object tensor_rank_tensor(object name)

object to_dense(object name)

Converts a sparse tensor into a dense tensor and returns it.

Returns

object: A dense tensor.
Examples: ```python >>> from keras import backend as K >>> b = K.placeholder((2, 2), sparse=True) >>> print(K.is_sparse(b)) True >>> c = K.to_dense(b) >>> print(K.is_sparse(c)) False ```

object trace(object name)

Public properties

object batch_shape get;

object domain_dimension get;

object dtype get;

object graph_parents get;

object is_non_singular get;

object is_positive_definite get;

object is_self_adjoint get;

object is_square get;

object range_dimension get;

object shape get;

object tensor_rank get;