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