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org.tensorflow.op.sparse

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