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 |
Copyright © 2022. All rights reserved.