tensorflow:: ops:: SparseSparseMaximum
#include <sparse_ops.h>
Returns the element-wise max of two SparseTensors.
Summary
Assumes the two SparseTensors have the same shape, i.e., no broadcasting.
Args:
- scope: A Scope object
- a_indices: 2-D.
N x R
matrix with the indices of non-empty values in a SparseTensor, in the canonical lexicographic ordering. - a_values: 1-D.
N
non-empty values corresponding toa_indices
. - a_shape: 1-D. Shape of the input SparseTensor.
- b_indices: counterpart to
a_indices
for the other operand. - b_values: counterpart to
a_values
for the other operand; must be of the same dtype. - b_shape: counterpart to
a_shape
for the other operand; the two shapes must be equal.
Returns:
Output
output_indices: 2-D. The indices of the output SparseTensor.Output
output_values: 1-D. The values of the output SparseTensor.
Constructors and Destructors |
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SparseSparseMaximum(const ::tensorflow::Scope & scope, ::tensorflow::Input a_indices, ::tensorflow::Input a_values, ::tensorflow::Input a_shape, ::tensorflow::Input b_indices, ::tensorflow::Input b_values, ::tensorflow::Input b_shape)
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Public attributes |
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operation
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output_indices
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output_values
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Public attributes
operation
Operation operation
output_indices
::tensorflow::Output output_indices
output_values
::tensorflow::Output output_values
Public functions
SparseSparseMaximum
SparseSparseMaximum( const ::tensorflow::Scope & scope, ::tensorflow::Input a_indices, ::tensorflow::Input a_values, ::tensorflow::Input a_shape, ::tensorflow::Input b_indices, ::tensorflow::Input b_values, ::tensorflow::Input b_shape )