Classes
| AddManySparseToTensorsMap | Add an `N`-minibatch `SparseTensor` to a `SparseTensorsMap`, return `N` handles. |
| AddManySparseToTensorsMap.Options | Optional attributes for AddManySparseToTensorsMap
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| AddSparseToTensorsMap | Add a `SparseTensor` to a `SparseTensorsMap` return its handle. |
| AddSparseToTensorsMap.Options | Optional attributes for AddSparseToTensorsMap
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| DenseCountSparseOutput<U extends TNumber> | Performs sparse-output bin counting for a tf.tensor input. |
| DenseCountSparseOutput.Options | Optional attributes for DenseCountSparseOutput
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| DenseToDenseSetOperation<T extends TType> | Applies set operation along last dimension of 2 `Tensor` inputs. |
| DenseToDenseSetOperation.Options | Optional attributes for DenseToDenseSetOperation
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| DenseToSparseSetOperation<T extends TType> | Applies set operation along last dimension of `Tensor` and `SparseTensor`. |
| DenseToSparseSetOperation.Options | Optional attributes for DenseToSparseSetOperation
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| 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
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| 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
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| SparseCountSparseOutput<U extends TNumber> | Performs sparse-output bin counting for a sparse tensor input. |
| SparseCountSparseOutput.Options | Optional attributes for SparseCountSparseOutput
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| 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
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| SparseReduceMax<T extends TNumber> | Computes the max of elements across dimensions of a SparseTensor. |
| SparseReduceMax.Options | Optional attributes for SparseReduceMax
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| SparseReduceMaxSparse<T extends TNumber> | Computes the max of elements across dimensions of a SparseTensor. |
| SparseReduceMaxSparse.Options | Optional attributes for SparseReduceMaxSparse
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| SparseReduceSum<T extends TType> | Computes the sum of elements across dimensions of a SparseTensor. |
| SparseReduceSum.Options | Optional attributes for SparseReduceSum
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| SparseReduceSumSparse<T extends TType> | Computes the sum of elements across dimensions of a SparseTensor. |
| SparseReduceSumSparse.Options | Optional attributes for SparseReduceSumSparse
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| 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
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| SparseToDense<U extends TType> | Converts a sparse representation into a dense tensor. |
| SparseToDense.Options | Optional attributes for SparseToDense
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| SparseToSparseSetOperation<T extends TType> | Applies set operation along last dimension of 2 `SparseTensor` inputs. |
| SparseToSparseSetOperation.Options | Optional attributes for SparseToSparseSetOperation
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| TakeManySparseFromTensorsMap<T extends TType> | Read `SparseTensors` from a `SparseTensorsMap` and concatenate them. |
| TakeManySparseFromTensorsMap.Options | Optional attributes for TakeManySparseFromTensorsMap
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