Sparse Ops
Summary
| Classes | |
|---|---|
| tensorflow:: | Add an  | 
| tensorflow:: | Add a  | 
| tensorflow:: | Deserialize and concatenate  | 
| tensorflow:: | Deserialize  | 
| tensorflow:: | Serialize an  | 
| tensorflow:: | Serialize a  | 
| tensorflow:: | Adds two  | 
| tensorflow:: | The gradient operator for the SparseAdd op. | 
| tensorflow:: | Concatenates a list of  | 
| tensorflow:: | Generates sparse cross from a list of sparse and dense tensors. | 
| tensorflow:: | Adds up a SparseTensor and a dense Tensor, using these special rules: | 
| tensorflow:: | Component-wise divides a SparseTensor by a dense Tensor. | 
| tensorflow:: | Component-wise multiplies a SparseTensor by a dense Tensor. | 
| tensorflow:: | Fills empty rows in the input 2-D  | 
| tensorflow:: | The gradient of SparseFillEmptyRows. | 
| tensorflow:: | Computes the max of elements across dimensions of a SparseTensor. | 
| tensorflow:: | Computes the max of elements across dimensions of a SparseTensor. | 
| tensorflow:: | Computes the sum of elements across dimensions of a SparseTensor. | 
| tensorflow:: | Computes the sum of elements across dimensions of a SparseTensor. | 
| tensorflow:: | Reorders a SparseTensor into the canonical, row-major ordering. | 
| tensorflow:: | Reshapes a SparseTensor to represent values in a new dense shape. | 
| tensorflow:: | Slice a  | 
| tensorflow:: | The gradient operator for the SparseSlice op. | 
| tensorflow:: | Applies softmax to a batched N-D  | 
| tensorflow:: | Returns the element-wise max of two SparseTensors. | 
| tensorflow:: | Returns the element-wise min of two SparseTensors. | 
| tensorflow:: | Split a  | 
| tensorflow:: | Adds up a  | 
| tensorflow:: | Multiply SparseTensor (of rank 2) "A" by dense matrix "B". | 
| tensorflow:: | Converts a sparse representation into a dense tensor. |