@Namespace(value="tensorflow::ops") @NoOffset @Properties(inherit=tensorflow.class) public class MatrixDiagV2 extends Pointer
diagonal
as k[0]
-th to k[1]
-th
diagonals of a matrix, with everything else padded with padding
. num_rows
and num_cols
specify the dimension of the innermost matrix of the output. If
both are not specified, the op assumes the innermost matrix is square and infers
its size from k
and the innermost dimension of diagonal
. If only one of them
is specified, the op assumes the unspecified value is the smallest possible
based on other criteria.
Let diagonal
have r
dimensions [I, J, ..., L, M, N]
. The output tensor has
rank r+1
with shape [I, J, ..., L, M, num_rows, num_cols]
when only one
diagonal is given (k
is an integer or k[0] == k[1]
). Otherwise, it has rank
r
with shape [I, J, ..., L, num_rows, num_cols]
.
The second innermost dimension of diagonal
has double meaning.
When k
is scalar or k[0] == k[1]
, M
is part of the batch size
[I, J, ..., M], and the output tensor is:
output[i, j, ..., l, m, n]
= diagonal[i, j, ..., l, n-max(d_upper, 0)] ; if n - m == d_upper
output[i, j, ..., l, m, n] ; otherwise
Otherwise, M
is treated as the number of diagonals for the matrix in the
same batch (M = k[1]-k[0]+1
), and the output tensor is:
output[i, j, ..., l, m, n]
= diagonal[i, j, ..., l, k[1]-d, n-max(d, 0)] ; if d_lower <= d <= d_upper
input[i, j, ..., l, m, n] ; otherwise
where d = n - m
For example:
# The main diagonal.
diagonal = np.array([[1, 2, 3, 4], # Input shape: (2, 4)
[5, 6, 7, 8]])
tf.matrix_diag(diagonal) ==> [[[1, 0, 0, 0], # Output shape: (2, 4, 4)
[0, 2, 0, 0],
[0, 0, 3, 0],
[0, 0, 0, 4]],
[[5, 0, 0, 0],
[0, 6, 0, 0],
[0, 0, 7, 0],
[0, 0, 0, 8]]]
# A superdiagonal (per batch).
diagonal = np.array([[1, 2, 3], # Input shape: (2, 3)
[4, 5, 6]])
tf.matrix_diag(diagonal, k = 1)
==> [[[0, 1, 0, 0], # Output shape: (2, 4, 4)
[0, 0, 2, 0],
[0, 0, 0, 3],
[0, 0, 0, 0]],
[[0, 4, 0, 0],
[0, 0, 5, 0],
[0, 0, 0, 6],
[0, 0, 0, 0]]]
# A band of diagonals.
diagonals = np.array([[[1, 2, 3], # Input shape: (2, 2, 3)
[4, 5, 0]],
[[6, 7, 9],
[9, 1, 0]]])
tf.matrix_diag(diagonals, k = (-1, 0))
==> [[[1, 0, 0], # Output shape: (2, 3, 3)
[4, 2, 0],
[0, 5, 3]],
[[6, 0, 0],
[9, 7, 0],
[0, 1, 9]]]
# Rectangular matrix.
diagonal = np.array([1, 2]) # Input shape: (2)
tf.matrix_diag(diagonal, k = -1, num_rows = 3, num_cols = 4)
==> [[0, 0, 0, 0], # Output shape: (3, 4)
[1, 0, 0, 0],
[0, 2, 0, 0]]
# Rectangular matrix with inferred num_cols and padding = 9.
tf.matrix_diag(diagonal, k = -1, num_rows = 3, padding = 9)
==> [[9, 9], # Output shape: (3, 2)
[1, 9],
[9, 2]]
Arguments:
* scope: A Scope object
* diagonal: Rank r
, where r >= 1
* k: Diagonal offset(s). Positive value means superdiagonal, 0 refers to the main
diagonal, and negative value means subdiagonals. k
can be a single integer
(for a single diagonal) or a pair of integers specifying the low and high ends
of a matrix band. k[0]
must not be larger than k[1]
.
* num_rows: The number of rows of the output matrix. If it is not provided, the op assumes
the output matrix is a square matrix and infers the matrix size from k and the
innermost dimension of diagonal
.
* num_cols: The number of columns of the output matrix. If it is not provided, the op
assumes the output matrix is a square matrix and infers the matrix size from
k and the innermost dimension of diagonal
.
* padding_value: The number to fill the area outside the specified diagonal band with.
Default is 0.
Returns:
* Output
: Has rank r+1
when k
is an integer or k[0] == k[1]
, rank r
otherwise.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
---|
MatrixDiagV2(Pointer p)
Pointer cast constructor.
|
MatrixDiagV2(Scope scope,
Input diagonal,
Input k,
Input num_rows,
Input num_cols,
Input padding_value) |
Modifier and Type | Method and Description |
---|---|
Input |
asInput() |
Output |
asOutput() |
Node |
node() |
Operation |
operation() |
MatrixDiagV2 |
operation(Operation setter) |
Output |
output() |
MatrixDiagV2 |
output(Output setter) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero
public MatrixDiagV2(Pointer p)
Pointer(Pointer)
.public Node node()
public MatrixDiagV2 operation(Operation setter)
public MatrixDiagV2 output(Output setter)
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