@Operator public final class ParseExampleDataset extends PrimitiveOp implements Operand<Object>
operation| Modifier and Type | Method and Description |
|---|---|
Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
|
static ParseExampleDataset |
create(Scope scope,
Operand<?> inputDataset,
Operand<Long> numParallelCalls,
Iterable<Operand<?>> denseDefaults,
List<String> sparseKeys,
List<String> denseKeys,
List<Class<?>> sparseTypes,
List<Shape> denseShapes,
List<Class<?>> outputTypes,
List<Shape> outputShapes)
Factory method to create a class to wrap a new ParseExampleDataset operation to the graph.
|
Output<?> |
handle() |
equals, hashCode, toStringpublic static ParseExampleDataset create(Scope scope, Operand<?> inputDataset, Operand<Long> numParallelCalls, Iterable<Operand<?>> denseDefaults, List<String> sparseKeys, List<String> denseKeys, List<Class<?>> sparseTypes, List<Shape> denseShapes, List<Class<?>> outputTypes, List<Shape> outputShapes)
scope - current graph scopeinputDataset - numParallelCalls - denseDefaults - A dict mapping string keys to `Tensor`s.
The keys of the dict must match the dense_keys of the feature.sparseKeys - A list of string keys in the examples features.
The results for these keys will be returned as `SparseTensor` objects.denseKeys - A list of Ndense string Tensors (scalars).
The keys expected in the Examples features associated with dense values.sparseTypes - A list of `DTypes` of the same length as `sparse_keys`.
Only `tf.float32` (`FloatList`), `tf.int64` (`Int64List`),
and `tf.string` (`BytesList`) are supported.denseShapes - List of tuples with the same length as `dense_keys`.
The shape of the data for each dense feature referenced by `dense_keys`.
Required for any input tensors identified by `dense_keys`. Must be
either fully defined, or may contain an unknown first dimension.
An unknown first dimension means the feature is treated as having
a variable number of blocks, and the output shape along this dimension
is considered unknown at graph build time. Padding is applied for
minibatch elements smaller than the maximum number of blocks for the
given feature along this dimension.outputTypes - The type list for the return values.outputShapes - The list of shapes being produced.public Output<?> handle()
public Output<Object> asOutput()
OperandInputs 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<Object>OperationBuilder.addInput(Output)Copyright © 2019. All rights reserved.