Sparse Ops
Summary
Classes |
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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:: |
Generates sparse cross from a list of sparse and dense tensors. |
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. |