Sparse Ops
Summary
Classes |
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tensorflow::
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Add
an
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tensorflow::
|
Add
a
|
tensorflow::
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Deserialize and concatenate
|
tensorflow::
|
Deserialize
|
tensorflow::
|
Serialize an
|
tensorflow::
|
Serialize a
|
tensorflow::
|
Adds two
|
tensorflow::
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The gradient operator for the SparseAdd op. |
tensorflow::
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Concatenates a list of
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tensorflow::
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Generates sparse cross from a list of sparse and dense tensors. |
tensorflow::
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Generates sparse cross from a list of sparse and dense tensors. |
tensorflow::
|
Generates sparse cross from a list of sparse and dense tensors. |
tensorflow::
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Adds up a SparseTensor and a dense Tensor , using these special rules: |
tensorflow::
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Component-wise divides a SparseTensor by a dense Tensor . |
tensorflow::
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Component-wise multiplies a SparseTensor by a dense Tensor . |
tensorflow::
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Fills empty rows in the input 2-D
|
tensorflow::
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The gradient of SparseFillEmptyRows . |
tensorflow::
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Computes the max of elements across dimensions of a SparseTensor. |
tensorflow::
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Computes the max of elements across dimensions of a SparseTensor. |
tensorflow::
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Computes the sum of elements across dimensions of a SparseTensor. |
tensorflow::
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Computes the sum of elements across dimensions of a SparseTensor. |
tensorflow::
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Reorders a SparseTensor into the canonical, row-major ordering. |
tensorflow::
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Reshapes a SparseTensor to represent values in a new dense shape. |
tensorflow::
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Slice a
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tensorflow::
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The gradient operator for the SparseSlice op. |
tensorflow::
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Applies softmax to a batched N-D
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tensorflow::
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Returns the element-wise max of two SparseTensors. |
tensorflow::
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Returns the element-wise min of two SparseTensors. |
tensorflow::
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Split a
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tensorflow::
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Adds up a
|
tensorflow::
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Multiply SparseTensor (of rank 2) "A" by dense matrix "B". |
tensorflow::
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Converts a sparse representation into a dense tensor. |