Package org.tensorflow.op.sparse

Class Summary

Class	Description
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
DenseToDenseSetOperation<T>	Applies set operation along last dimension of 2 `Tensor` inputs.
DenseToDenseSetOperation.Options	Optional attributes for DenseToDenseSetOperation
DenseToSparseSetOperation<T>	Applies set operation along last dimension of `Tensor` and `SparseTensor`.
DenseToSparseSetOperation.Options	Optional attributes for DenseToSparseSetOperation
DeserializeSparse<U>	Deserialize `SparseTensor` objects.
SparseAccumulatorApplyGradient	Applies a sparse gradient to a given accumulator.
SparseAccumulatorTakeGradient<T>	Extracts the average sparse gradient in a SparseConditionalAccumulator.
SparseAdd<T>	Adds two `SparseTensor` objects to produce another `SparseTensor`.
SparseAddGrad<T>	The gradient operator for the SparseAdd op.
SparseConcat<T>	Concatenates a list of `SparseTensor` along the specified dimension.
SparseConditionalAccumulator	A conditional accumulator for aggregating sparse gradients.
SparseConditionalAccumulator.Options	Optional attributes for SparseConditionalAccumulator
SparseCross<T>	Generates sparse cross from a list of sparse and dense tensors.
SparseDenseCwiseAdd<T>	Adds up a SparseTensor and a dense Tensor, using these special rules:
SparseDenseCwiseDiv<T>	Component-wise divides a SparseTensor by a dense Tensor.
SparseDenseCwiseMul<T>	Component-wise multiplies a SparseTensor by a dense Tensor.
SparseFillEmptyRows<T>	Fills empty rows in the input 2-D `SparseTensor` with a default value.
SparseFillEmptyRowsGrad<T>	The gradient of SparseFillEmptyRows.
SparseMatMul	Multiply matrix "a" by matrix "b".
SparseMatMul.Options	Optional attributes for SparseMatMul
SparseReduceMax<T extends Number>	Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMax.Options	Optional attributes for SparseReduceMax
SparseReduceMaxSparse<T extends Number>	Computes the max of elements across dimensions of a SparseTensor.
SparseReduceMaxSparse.Options	Optional attributes for SparseReduceMaxSparse
SparseReduceSum<T>	Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSum.Options	Optional attributes for SparseReduceSum
SparseReduceSumSparse<T>	Computes the sum of elements across dimensions of a SparseTensor.
SparseReduceSumSparse.Options	Optional attributes for SparseReduceSumSparse
SparseReorder<T>	Reorders a SparseTensor into the canonical, row-major ordering.
SparseReshape	Reshapes a SparseTensor to represent values in a new dense shape.
SparseSegmentMean<T extends Number>	Computes the mean along sparse segments of a tensor.
SparseSegmentMeanGrad<T extends Number>	Computes gradients for SparseSegmentMean.
SparseSegmentMeanWithNumSegments<T extends Number>	Computes the mean along sparse segments of a tensor.
SparseSegmentSqrtN<T extends Number>	Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSqrtNGrad<T extends Number>	Computes gradients for SparseSegmentSqrtN.
SparseSegmentSqrtNWithNumSegments<T extends Number>	Computes the sum along sparse segments of a tensor divided by the sqrt of N.
SparseSegmentSum<T extends Number>	Computes the sum along sparse segments of a tensor.
SparseSegmentSumWithNumSegments<T extends Number>	Computes the sum along sparse segments of a tensor.
SparseSlice<T>	Slice a `SparseTensor` based on the `start` and `size`.
SparseSliceGrad<T>	The gradient operator for the SparseSlice op.
SparseSoftmax<T extends Number>	Applies softmax to a batched N-D `SparseTensor`.
SparseSparseMaximum<T extends Number>	Returns the element-wise max of two SparseTensors.
SparseSparseMinimum<T>	Returns the element-wise min of two SparseTensors.
SparseSplit<T>	Split a `SparseTensor` into `num_split` tensors along one dimension.
SparseTensorDenseAdd<U>	Adds up a `SparseTensor` and a dense `Tensor`, producing a dense `Tensor`.
SparseTensorDenseMatMul<U>	Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
SparseTensorDenseMatMul.Options	Optional attributes for SparseTensorDenseMatMul
SparseToDense<U>	Converts a sparse representation into a dense tensor.
SparseToDense.Options	Optional attributes for SparseToDense
SparseToSparseSetOperation<T>	Applies set operation along last dimension of 2 `SparseTensor` inputs.
SparseToSparseSetOperation.Options	Optional attributes for SparseToSparseSetOperation
TakeManySparseFromTensorsMap<T>	Read `SparseTensors` from a `SparseTensorsMap` and concatenate them.
TakeManySparseFromTensorsMap.Options	Optional attributes for TakeManySparseFromTensorsMap