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tf.raw_ops.MatrixBandPart
Copy a tensor setting everything outside a central band in each innermost matrix to zero.
tf.raw_ops.MatrixBandPart(
    input, num_lower, num_upper, name=None
)
  The band part is computed as follows: Assume input has k dimensions [I, J, K, ..., M, N], then the output is a tensor with the same shape where
band[i, j, k, ..., m, n] = in_band(m, n) * input[i, j, k, ..., m, n].
The indicator function
in_band(m, n) = (num_lower < 0 || (m-n) <= num_lower)) && (num_upper < 0 || (n-m) <= num_upper).
For example:
# if 'input' is [[ 0,  1,  2, 3]
                 [-1,  0,  1, 2]
                 [-2, -1,  0, 1]
                 [-3, -2, -1, 0]],
tf.matrix_band_part(input, 1, -1) ==> [[ 0,  1,  2, 3]
                                       [-1,  0,  1, 2]
                                       [ 0, -1,  0, 1]
                                       [ 0,  0, -1, 0]],
tf.matrix_band_part(input, 2, 1) ==> [[ 0,  1,  0, 0]
                                      [-1,  0,  1, 0]
                                      [-2, -1,  0, 1]
                                      [ 0, -2, -1, 0]]
  Useful special cases:
tf.matrix_band_part(input, 0, -1) ==> Upper triangular part.
tf.matrix_band_part(input, -1, 0) ==> Lower triangular part.
tf.matrix_band_part(input, 0, 0) ==> Diagonal.
  | Args | |
|---|---|
input | 
      A Tensor. Rank k tensor. | 
     
num_lower | 
      A Tensor. Must be one of the following types: int32, int64. 0-D tensor. Number of subdiagonals to keep. If negative, keep entire lower triangle. | 
     
num_upper | 
      A Tensor. Must have the same type as num_lower. 0-D tensor. Number of superdiagonals to keep. If negative, keep entire upper triangle. | 
     
name | 
      A name for the operation (optional). | 
| Returns | |
|---|---|
A Tensor. Has the same type as input. | 
     
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/MatrixBandPart