Package | Description |
---|---|
org.tensorflow.op | |
org.tensorflow.op.sparse |
Class and Description |
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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.
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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 |
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 |
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