TensorFlow-Models/syntaxnet/g3doc/dragnn_ops/bulk_fixed_feature_ids.md

dragnn_ops.bulk_fixed_feature_ids(handle, num_channels, component=None, num_ids_per_channel=None, name=None)

dragnn_ops.bulk_fixed_feature_ids(handle, num_channels, component=None, num_ids_per_channel=None, name=None)

Defined in tensorflow/dragnn/core/ops/gen_dragnn_bulk_ops.py.

This op is a variant of BulkFixedFeatures that only outputs fixed feature IDs.

Each fixed feature channel must produce exactly |num_ids_per_channel| feature IDs per step, and feature weights are ignored.

Args:

• handle: A Tensor of type string. handle to a ComputeSession.
• num_channels: An int that is >= 1. number of feature channels in the component.
• component: An optional string. Defaults to "". name of the component to run.
• num_ids_per_channel: An optional int. Defaults to 1. number of feature IDs extracted per channel at each step.
• name: A name for the operation (optional).

Returns:

A tuple of Tensor objects (output_handle, ids). * output_handle: A Tensor of type string. handle to updated ComputeSession. * ids: A list of num_channels Tensor objects of type int64. a list of num_channels [batch_size, num_steps, num_ids_per_channel] tensors of feature IDs, one per channel. The feature IDs for each batch item are padded with trailing -1s to the maximum number of steps across the batch.