Class MultiInferenceNLPMessage

• Defined in File multi_inference_nlp.hpp

Base Type

• public morpheus::DerivedMultiMessage< MultiInferenceNLPMessage, MultiInferenceMessage > (Template Class DerivedMultiMessage)

class MultiInferenceNLPMessage : public morpheus::DerivedMultiMessage<MultiInferenceNLPMessage, MultiInferenceMessage>

A stronger typed version of <a class="reference internal" href="classmorpheus_1_1MultiInferenceMessage.html#classmorpheus_1_1MultiInferenceMessage" target="_self">MultiInferenceMessage</a> that is used for NLP workloads. Helps ensure the proper inputs are set and eases debugging.

Public Functions

MultiInferenceNLPMessage(std::shared_ptr<MessageMeta> meta, TensorIndex mess_offset = 0, TensorIndex mess_count = -1, std::shared_ptr<TensorMemory> memory = nullptr, TensorIndex offset = 0, TensorIndex count = -1, std::string id_tensor_name = "seq_ids")

Construct a new Multi Inference NLP Message object.

Parameters

• meta – Holds a data table, in practice a cudf DataFrame, with the ability to return both Python and C++ representations of the table

• mess_offset – Offset into the metadata batch

• mess_count – Messages count

• memory – Holds the generic tensor data in cupy arrays that will be used for inference stages

• offset – Message offset in inference memory object

• count – Message count in inference memory object

• id_tensor_name – Name of the tensor that correlates tensor rows to message IDs

const TensorObject get_input_ids() const

Returns the ‘input_ids’ tensor, throws a std::runtime_error if it does not exist.

Parameters

name –

Throws

std::runtime_error – If no tensor named “input_ids” exists

Returns

const TensorObject

void set_input_ids(const TensorObject &input_ids)

Sets a tensor named ‘input_ids’.

Parameters

input_ids –

const TensorObject get_input_mask() const

Returns the ‘input_mask’ tensor, throws a std::runtime_error if it does not exist.

Parameters

name –

Throws

std::runtime_error – If no tensor named “input_mask” exists

Returns

const TensorObject

void set_input_mask(const TensorObject &input_mask)

Sets a tensor named ‘input_mask’.

Parameters

input_mask –

const TensorObject get_seq_ids() const

Returns the ‘seq_ids’ tensor, throws a std::runtime_error if it does not exist.

Parameters

name –

Throws

std::runtime_error – If no tensor named “seq_ids” exists

Returns

const TensorObject

void set_seq_ids(const TensorObject &seq_ids)

Sets a tensor named ‘seq_ids’.

Parameters

seq_ids –