Uses of Package
org.tensorflow.op.sparse

Packages that use org.tensorflow.op.sparse

Package	Description
org.tensorflow.op
org.tensorflow.op.sparse

Classes in org.tensorflow.op.sparse used by org.tensorflow.op

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

Classes in org.tensorflow.op.sparse used by org.tensorflow.op.sparse

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