tf.compat.v1.sparse_reduce_sum_sparse | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.sparse_reduce_sum_sparse
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Computes the sum of elements across dimensions of a SparseTensor. (deprecated arguments)
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tf.compat.v1.sparse.reduce_sum_sparse
tf.compat.v1.sparse_reduce_sum_sparse(
sp_input, axis=None, keepdims=None, reduction_axes=None, keep_dims=None
)
This Op takes a SparseTensor and is the sparse counterpart totf.reduce_sum(). In contrast to SparseReduceSum, this Op returns a SparseTensor.
Reduces sp_input along the dimensions given in reduction_axes. Unlesskeepdims is true, the rank of the tensor is reduced by 1 for each entry inreduction_axes. If keepdims is true, the reduced dimensions are retained with length 1.
If reduction_axes has no entries, all dimensions are reduced, and a tensor with a single element is returned. Additionally, the axes can be negative, which are interpreted according to the indexing rules in Python.
| Args | |
|---|---|
| sp_input | The SparseTensor to reduce. Should have numeric type. |
| axis | The dimensions to reduce; list or scalar. If None (the default), reduces all dimensions. |
| keepdims | If true, retain reduced dimensions with length 1. |
| reduction_axes | Deprecated name of axis. |
| keep_dims | Deprecated alias for keepdims. |
| Returns |
|---|
| The reduced SparseTensor. |