U
- data type for serializedSparse()
output@Operator(group="io") public final class SerializeManySparse<U> extends PrimitiveOp implements Operand<U>
The `SparseTensor` must have rank `R` greater than 1, and the first dimension is treated as the minibatch dimension. Elements of the `SparseTensor` must be sorted in increasing order of this first dimension. The serialized `SparseTensor` objects going into each row of `serialized_sparse` will have rank `R-1`.
The minibatch size `N` is extracted from `sparse_shape[0]`.
operation
Modifier and Type | Method and Description |
---|---|
Output<U> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T> SerializeManySparse<String> |
create(Scope scope,
Operand<Long> sparseIndices,
Operand<T> sparseValues,
Operand<Long> sparseShape)
Factory method to create a class wrapping a new SerializeManySparse operation using default output types.
|
static <U,T> SerializeManySparse<U> |
create(Scope scope,
Operand<Long> sparseIndices,
Operand<T> sparseValues,
Operand<Long> sparseShape,
Class<U> outType)
Factory method to create a class wrapping a new SerializeManySparse operation.
|
Output<U> |
serializedSparse() |
equals, hashCode, op, toString
public static <U,T> SerializeManySparse<U> create(Scope scope, Operand<Long> sparseIndices, Operand<T> sparseValues, Operand<Long> sparseShape, Class<U> outType)
scope
- current scopesparseIndices
- 2-D. The `indices` of the minibatch `SparseTensor`.sparseValues
- 1-D. The `values` of the minibatch `SparseTensor`.sparseShape
- 1-D. The `shape` of the minibatch `SparseTensor`.outType
- The `dtype` to use for serialization; the supported types are `string`
(default) and `variant`.public static <T> SerializeManySparse<String> create(Scope scope, Operand<Long> sparseIndices, Operand<T> sparseValues, Operand<Long> sparseShape)
scope
- current scopesparseIndices
- 2-D. The `indices` of the minibatch `SparseTensor`.sparseValues
- 1-D. The `values` of the minibatch `SparseTensor`.sparseShape
- 1-D. The `shape` of the minibatch `SparseTensor`.public Output<U> asOutput()
Operand
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput
in interface Operand<U>
OperationBuilder.addInput(Output)
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