Serialize an `N`-minibatch `SparseTensor` into an `[N, 3]` `Tensor` object.
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]`.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<U> |
asOutput()
Returns the symbolic handle of the tensor.
|
static <U extends TType> SerializeManySparse<U> | |
static SerializeManySparse<TString> | |
Output<U> |
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<U> asOutput ()
Returns the symbolic handle of the tensor.
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.
public static SerializeManySparse<U> create (Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape, Class<U> outType)
Factory method to create a class wrapping a new SerializeManySparse operation.
Parameters
scope | current scope |
---|---|
sparseIndices | 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`. |
Returns
- a new instance of SerializeManySparse
public static SerializeManySparse<TString> create (Scope scope, Operand<TInt64> sparseIndices, Operand<? extends TType> sparseValues, Operand<TInt64> sparseShape)
Factory method to create a class wrapping a new SerializeManySparse operation using default output types.
Parameters
scope | current scope |
---|---|
sparseIndices | 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`. |
Returns
- a new instance of SerializeManySparse