# tensorflow::ops::MatrixSetDiagV3 Class Reference # tensorflow::ops::MatrixSetDiagV3 `#include ` Returns a batched matrix tensor with new batched diagonal values. ## Summary Given `input` and `diagonal`, this operation returns a tensor with the same shape and values as `input`, except for the specified diagonals of the innermost matrices. These will be overwritten by the values in `diagonal`. `input` has `r+1` dimensions `[I, J, ..., L, M, N]`. When `k` is scalar or `k[0] == k[1]`, `diagonal` has `r` dimensions `[I, J, ..., L, max_diag_len]`. Otherwise, it has `r+1` dimensions `[I, J, ..., L, num_diags, max_diag_len]`. `num_diags` is the number of diagonals, `num_diags = k[1] - k[0] + 1`. `max_diag_len` is the longest diagonal in the range `[k[0], k[1]]`, `max_diag_len = min(M + min(k[1], 0), N + min(-k[0], 0))` The output is a tensor of rank `k+1` with dimensions `[I, J, ..., L, M, N]`. If `k` is scalar or `k[0] == k[1]`: ``` output[i, j, ..., l, m, n] = diagonal[i, j, ..., l, n-max(k[1], 0)] ; if n - m == k[1] input[i, j, ..., l, m, n] ; otherwise ```
Otherwise,
``` output[i, j, ..., l, m, n] = diagonal[i, j, ..., l, diag_index, index_in_diag] ; if k[0] <= d <= k[1] input[i, j, ..., l, m, n] ; otherwise ``` where `d = n - m`, `diag_index = k[1] - d`, and `index_in_diag = n - max(d, 0) + offset`.
`offset` is zero except when the alignment of the diagonal is to the right. ``` offset = max_diag_len - diag_len(d) ; if (`align` in {RIGHT_LEFT, RIGHT_RIGHT} and `d >= 0`) or (`align` in {LEFT_RIGHT, RIGHT_RIGHT} and `d <= 0`) 0 ; otherwise ``` where `diag_len(d) = min(cols - max(d, 0), rows + min(d, 0))`.
For example: ``` # The main diagonal. input = np.array([[[7, 7, 7, 7], # Input shape: (2, 3, 4) [7, 7, 7, 7], [7, 7, 7, 7]], [[7, 7, 7, 7], [7, 7, 7, 7], [7, 7, 7, 7]]]) diagonal = np.array([[1, 2, 3], # Diagonal shape: (2, 3) [4, 5, 6]]) tf.matrix_set_diag(input, diagonal) ==> [[[1, 7, 7, 7], # Output shape: (2, 3, 4) [7, 2, 7, 7], [7, 7, 3, 7]], [[4, 7, 7, 7], [7, 5, 7, 7], [7, 7, 6, 7]]] ```
``` # A superdiagonal (per batch). tf.matrix_set_diag(input, diagonal, k = 1) ==> [[[7, 1, 7, 7], # Output shape: (2, 3, 4) [7, 7, 2, 7], [7, 7, 7, 3]], [[7, 4, 7, 7], [7, 7, 5, 7], [7, 7, 7, 6]]] ```
``` # A band of diagonals. diagonals = np.array([[[0, 9, 1], # Diagonal shape: (2, 4, 3) [6, 5, 8], [1, 2, 3], [4, 5, 0]], [[0, 1, 2], [5, 6, 4], [6, 1, 2], [3, 4, 0]]]) tf.matrix_set_diag(input, diagonals, k = (-1, 2)) ==> [[[1, 6, 9, 7], # Output shape: (2, 3, 4) [4, 2, 5, 1], [7, 5, 3, 8]], [[6, 5, 1, 7], [3, 1, 6, 2], [7, 4, 2, 4]]] ```
``` # LEFT_RIGHT alignment. diagonals = np.array([[[9, 1, 0], # Diagonal shape: (2, 4, 3) [6, 5, 8], [1, 2, 3], [0, 4, 5]], [[1, 2, 0], [5, 6, 4], [6, 1, 2], [0, 3, 4]]]) tf.matrix_set_diag(input, diagonals, k = (-1, 2), align="LEFT_RIGHT") ==> [[[1, 6, 9, 7], # Output shape: (2, 3, 4) [4, 2, 5, 1], [7, 5, 3, 8]], [[6, 5, 1, 7], [3, 1, 6, 2], [7, 4, 2, 4]]] ```
```` Arguments: - scope: A https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope object - input: Rank `r+1`, where `r >= 1`. - diagonal: Rank `r` when `k` is an integer or `k[0] == k[1]`. Otherwise, it has rank `r+1`. `k >= 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]`. Optional attributes (see `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/matrix-set-diag-v3/attrs#structtensorflow_1_1ops_1_1_matrix_set_diag_v3_1_1_attrs`): - align: Some diagonals are shorter than `max_diag_len` and need to be padded. `align` is a string specifying how superdiagonals and subdiagonals should be aligned, respectively. There are four possible alignments: "RIGHT_LEFT" (default), "LEFT_RIGHT", "LEFT_LEFT", and "RIGHT_RIGHT". "RIGHT_LEFT" aligns superdiagonals to the right (left-pads the row) and subdiagonals to the left (right-pads the row). It is the packing format LAPACK uses. cuSPARSE uses "LEFT_RIGHT", which is the opposite alignment. Returns: - `https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output`: Rank `r+1`, with `output.shape = input.shape`. ### Constructors and Destructors `https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/matrix-set-diag-v3#classtensorflow_1_1ops_1_1_matrix_set_diag_v3_1aa1c50423313605b235615b20b525285d(const ::https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input, ::https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input diagonal, ::https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input k)` `https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/matrix-set-diag-v3#classtensorflow_1_1ops_1_1_matrix_set_diag_v3_1a581008278c2f4caccfe290b868cc9790(const ::https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input, ::https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input diagonal, ::https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input k, const https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/matrix-set-diag-v3/attrs#structtensorflow_1_1ops_1_1_matrix_set_diag_v3_1_1_attrs & attrs)` ### Public attributes `https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/matrix-set-diag-v3#classtensorflow_1_1ops_1_1_matrix_set_diag_v3_1aa97bc3e979e617469d1ef1df3b816663` `https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation` `https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/matrix-set-diag-v3#classtensorflow_1_1ops_1_1_matrix_set_diag_v3_1a07f228688563f554887686af516dd9a1` `::https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` ### Public functions `https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/matrix-set-diag-v3#classtensorflow_1_1ops_1_1_matrix_set_diag_v3_1a15eca00505d35ebcd159a9fb0fab1640() const ` `::tensorflow::Node *` `https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/matrix-set-diag-v3#classtensorflow_1_1ops_1_1_matrix_set_diag_v3_1af545db03e9535f6c8be459ac4b684047() const ` ` `` ` `https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/matrix-set-diag-v3#classtensorflow_1_1ops_1_1_matrix_set_diag_v3_1a9005a31328cf4653bd9fda4ff88b6bbf() const ` ` `` ` ### Public static functions `https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/matrix-set-diag-v3#classtensorflow_1_1ops_1_1_matrix_set_diag_v3_1a60c1784ebf8f798d1b35e1143c07b467(StringPiece x)` `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/matrix-set-diag-v3/attrs#structtensorflow_1_1ops_1_1_matrix_set_diag_v3_1_1_attrs` ### Structs https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/matrix-set-diag-v3/attrs Optional attribute setters for https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/matrix-set-diag-v3#classtensorflow_1_1ops_1_1_matrix_set_diag_v3. Public attributes ### operation ``` Operation operation ``` ### output ``` ::tensorflow::Output output ``` Public functions ### MatrixSetDiagV3 ``` MatrixSetDiagV3( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input diagonal, ::tensorflow::Input k ) ``` ### MatrixSetDiagV3 ``` MatrixSetDiagV3( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input diagonal, ::tensorflow::Input k, const MatrixSetDiagV3::Attrs & attrs ) ``` ### node ``` ::tensorflow::Node * node() const ``` ### operator::tensorflow::Input ``` operator::tensorflow::Input() const ``` ### operator::tensorflow::Output ``` operator::tensorflow::Output() const ``` Public static functions ### Align ``` Attrs Align( StringPiece x ) ``` ````