org.tensorflow.op.sparse

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Classes

AddManySparseToTensorsMap Add an `N`-minibatch `SparseTensor` to a `SparseTensorsMap`, return `N` handles. 
AddManySparseToTensorsMap.Options Optional attributes for AddManySparseToTensorsMap  
AddSparseToTensorsMap Add a `SparseTensor` to a `SparseTensorsMap` return its handle. 
AddSparseToTensorsMap.Options Optional attributes for AddSparseToTensorsMap  
DenseCountSparseOutput<U extends TNumber> Performs sparse-output bin counting for a tf.tensor input. 
DenseCountSparseOutput.Options Optional attributes for DenseCountSparseOutput  
DenseToDenseSetOperation<T extends TType> Applies set operation along last dimension of 2 `Tensor` inputs. 
DenseToDenseSetOperation.Options Optional attributes for DenseToDenseSetOperation  
DenseToSparseSetOperation<T extends TType> Applies set operation along last dimension of `Tensor` and `SparseTensor`. 
DenseToSparseSetOperation.Options Optional attributes for DenseToSparseSetOperation  
DeserializeSparse<U extends TType> Deserialize `SparseTensor` objects. 
SparseAccumulatorApplyGradient Applies a sparse gradient to a given accumulator. 
SparseAccumulatorTakeGradient<T extends TType> Extracts the average sparse gradient in a SparseConditionalAccumulator. 
SparseAdd<T extends TType> Adds two `SparseTensor` objects to produce another `SparseTensor`. 
SparseAddGrad<T extends TType> The gradient operator for the SparseAdd op. 
SparseBincount<U extends TNumber> Counts the number of occurrences of each value in an integer array. 
SparseBincount.Options Optional attributes for SparseBincount  
SparseConcat<T extends TType> Concatenates a list of `SparseTensor` along the specified dimension. 
SparseConditionalAccumulator A conditional accumulator for aggregating sparse gradients. 
SparseConditionalAccumulator.Options Optional attributes for SparseConditionalAccumulator  
SparseCountSparseOutput<U extends TNumber> Performs sparse-output bin counting for a sparse tensor input. 
SparseCountSparseOutput.Options Optional attributes for SparseCountSparseOutput  
SparseCross Generates sparse cross from a list of sparse and dense tensors. 
SparseCrossHashed Generates sparse cross from a list of sparse and dense tensors. 
SparseDenseCwiseAdd<T extends TType> Adds up a SparseTensor and a dense Tensor, using these special rules:

(1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition. 

SparseDenseCwiseDiv<T extends TType> Component-wise divides a SparseTensor by a dense Tensor. 
SparseDenseCwiseMul<T extends TType> Component-wise multiplies a SparseTensor by a dense Tensor. 
SparseFillEmptyRows<T extends TType> Fills empty rows in the input 2-D `SparseTensor` with a default value. 
SparseFillEmptyRowsGrad<T extends TType> The gradient of SparseFillEmptyRows. 
SparseMatMul Multiply matrix "a" by matrix "b". 
SparseMatMul.Options Optional attributes for SparseMatMul  
SparseReduceMax<T extends TNumber> Computes the max of elements across dimensions of a SparseTensor. 
SparseReduceMax.Options Optional attributes for SparseReduceMax  
SparseReduceMaxSparse<T extends TNumber> Computes the max of elements across dimensions of a SparseTensor. 
SparseReduceMaxSparse.Options Optional attributes for SparseReduceMaxSparse  
SparseReduceSum<T extends TType> Computes the sum of elements across dimensions of a SparseTensor. 
SparseReduceSum.Options Optional attributes for SparseReduceSum  
SparseReduceSumSparse<T extends TType> Computes the sum of elements across dimensions of a SparseTensor. 
SparseReduceSumSparse.Options Optional attributes for SparseReduceSumSparse  
SparseReorder<T extends TType> Reorders a SparseTensor into the canonical, row-major ordering. 
SparseReshape Reshapes a SparseTensor to represent values in a new dense shape. 
SparseSegmentMean<T extends TNumber> Computes the mean along sparse segments of a tensor. 
SparseSegmentMeanGrad<T extends TNumber> Computes gradients for SparseSegmentMean. 
SparseSegmentMeanWithNumSegments<T extends TNumber> Computes the mean along sparse segments of a tensor. 
SparseSegmentSqrtN<T extends TNumber> Computes the sum along sparse segments of a tensor divided by the sqrt of N. 
SparseSegmentSqrtNGrad<T extends TNumber> Computes gradients for SparseSegmentSqrtN. 
SparseSegmentSqrtNWithNumSegments<T extends TNumber> Computes the sum along sparse segments of a tensor divided by the sqrt of N. 
SparseSegmentSum<T extends TNumber> Computes the sum along sparse segments of a tensor. 
SparseSegmentSumWithNumSegments<T extends TNumber> Computes the sum along sparse segments of a tensor. 
SparseSlice<T extends TType> Slice a `SparseTensor` based on the `start` and `size`. 
SparseSliceGrad<T extends TType> The gradient operator for the SparseSlice op. 
SparseSoftmax<T extends TNumber> Applies softmax to a batched N-D `SparseTensor`. 
SparseSparseMaximum<T extends TNumber> Returns the element-wise max of two SparseTensors. 
SparseSparseMinimum<T extends TType> Returns the element-wise min of two SparseTensors. 
SparseSplit<T extends TType> Split a `SparseTensor` into `num_split` tensors along one dimension. 
SparseTensorDenseAdd<U extends TType> Adds up a `SparseTensor` and a dense `Tensor`, producing a dense `Tensor`. 
SparseTensorDenseMatMul<U extends TType> Multiply SparseTensor (of rank 2) "A" by dense matrix "B". 
SparseTensorDenseMatMul.Options Optional attributes for SparseTensorDenseMatMul  
SparseToDense<U extends TType> Converts a sparse representation into a dense tensor. 
SparseToDense.Options Optional attributes for SparseToDense  
SparseToSparseSetOperation<T extends TType> Applies set operation along last dimension of 2 `SparseTensor` inputs. 
SparseToSparseSetOperation.Options Optional attributes for SparseToSparseSetOperation  
TakeManySparseFromTensorsMap<T extends TType> Read `SparseTensors` from a `SparseTensorsMap` and concatenate them. 
TakeManySparseFromTensorsMap.Options Optional attributes for TakeManySparseFromTensorsMap