SparseSparseMinimum
tensorflow C++ API
tensorflow::ops::SparseSparseMinimum
Returns the element-wise min of two SparseTensors.
Summary
Assumes the two SparseTensors have the same shape, i.e., no broadcasting.
Arguments:
- 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 rdering. - 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.
SparseSparseMinimum block
Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_sparse.cpp
Argument:
- Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
- Input a_indices: connect Input node.
- Input a_values: connect Input node.
- Input a_shape: connect Input node.
- Input b_values: connect Input node.
- Input b_values: connect Input node.
- Input b_shape: connect Input node.
Return:
- Output output_indices: Output object of SparseSparseMaximum class object.
- Output output_values: Output object of SparseSparseMaximum class object.
Result:
- std::vector(Tensor) result_output_indices : Returned object of executed result by calling session.
- std::vector(Tensor) result_output_values : Returned object of executed result by calling session.