tensorflow:: ops:: MatrixBandPart
#include <array_ops.h>
Copy a tensor setting everything outside a central band in each innermost matrix to zero.
Summary
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.linalg.band_part(input, 1, -1) ==> [[ 0, 1, 2, 3]
[-1, 0, 1, 2]
[ 0, -1, 0, 1]
[ 0, 0, -1, 0]],
tf.linalg.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.linalg.band_part(input, 0, -1) ==> Upper triangular part. tf.linalg.band_part(input, -1, 0) ==> Lower triangular part. tf.linalg.band_part(input, 0, 0) ==> Diagonal.
Args:
- scope: A Scope object
- input: Rank
ktensor. - num_lower: 0-D tensor. Number of subdiagonals to keep. If negative, keep entire lower triangle.
- num_upper: 0-D tensor. Number of superdiagonals to keep. If negative, keep entire upper triangle.
Returns:
Output: Rankktensor of the same shape as input. The extracted banded tensor.
Constructors and Destructors |
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MatrixBandPart(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input num_lower, ::tensorflow::Input num_upper)
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Public attributes |
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band
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operation
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public attributes
band
::tensorflow::Output band
operation
Operation operation
Public functions
MatrixBandPart
MatrixBandPart( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input num_lower, ::tensorflow::Input num_upper )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const