|TensorFlow 1 version||View source on GitHub|
LinearOperator acting like a [batch] zero matrix.
Compat aliases for migration
See Migration guide for more details.
tf.linalg.LinearOperatorZeros( num_rows, num_columns=None, batch_shape=None, dtype=None, is_non_singular=False, is_self_adjoint=True, is_positive_definite=False, is_square=True, assert_proper_shapes=False, name='LinearOperatorZeros' )
This operator acts like a [batch] zero matrix
A with shape
[B1,...,Bb, N, M] for some
b >= 0. The first
b indices index a
batch member. For every batch index
A[i1,...,ib, : :] is
N x M matrix. This matrix
A is not materialized, but for
purposes of broadcasting this shape will be relevant.
LinearOperatorZeros is initialized with
num_rows, and optionally
, then this operator will be initialized as a square matrix. Ifbatch_shape
, this operator efficiently passes through all
arguments. Ifbatch_shape` is provided, broadcasting may occur, which will
require making copies.
# Create a