viam::sdk::impl::MLModelServiceClient Class Reference

#include <mlmodel_client.hpp>

Inheritance diagram for viam::sdk::impl::MLModelServiceClient:

Public Types
using	interface_type = MLModelService
using	service_type = viam::service::mlmodel::v1::MLModelService
Public Types inherited from viam::sdk::MLModelService
template<typename T >
using	tensor_view = typename make_tensor_view_<T>::type
using	signed_integral_base_types
using	unsigned_integral_base_types
using	integral_base_types
using	fp_base_types = boost::mpl::list<float, double>
using	base_types = boost::mpl::joint_view<integral_base_types, fp_base_types>
using	tensor_view_types
using	tensor_views = boost::make_variant_over<tensor_view_types>::type
using	named_tensor_views = std::unordered_map<std::string, tensor_views>

Public Member Functions
	MLModelServiceClient (std::string name, std::shared_ptr< grpc::Channel > channel)
std::shared_ptr< named_tensor_views >	infer (const named_tensor_views &inputs, const AttributeMap &extra) override
	Runs the model against the input tensors and returns inference results as tensors.
struct metadata	metadata (const AttributeMap &extra) override
	Returns metadata describing the inputs and outputs of the model.
std::shared_ptr< named_tensor_views >	infer (const named_tensor_views &inputs)
	Runs the model against the input tensors and returns inference results as tensors.
virtual std::shared_ptr< named_tensor_views >	infer (const named_tensor_views &inputs, const AttributeMap &extra)=0
	Runs the model against the input tensors and returns inference results as tensors.
struct metadata	metadata ()
	Returns metadata describing the inputs and outputs of the model.
virtual struct metadata	metadata (const AttributeMap &extra)=0
	Returns metadata describing the inputs and outputs of the model.
Public Member Functions inherited from viam::sdk::MLModelService
API	api () const override
	Returns the API associated with a particular resource.
std::shared_ptr< named_tensor_views >	infer (const named_tensor_views &inputs)
	Runs the model against the input tensors and returns inference results as tensors.
struct metadata	metadata ()
	Returns metadata describing the inputs and outputs of the model.
Public Member Functions inherited from viam::sdk::Service
viam::common::v1::ResourceName	get_resource_name (std::string name) const override
	Returns a ResourceName for a particular resource name.
Public Member Functions inherited from viam::sdk::Resource
	Resource (std::string name)
virtual std::string	name () const
	Return the resource's name.

Additional Inherited Members
Static Public Member Functions inherited from viam::sdk::MLModelService
template<typename T >
static tensor_view< T >	make_tensor_view (const T *data, std::size_t size, typename tensor_view< T >::shape_type shape)
Protected Member Functions inherited from viam::sdk::MLModelService
	MLModelService (std::string name)
Protected Member Functions inherited from viam::sdk::Service
	Service (std::string name)

Detailed Description

An MLModelServiceClient provides client-side access to a remotely served ML Model Service. Use this class to communicate with MLModelService instances running elsewhere.

Member Function Documentation

infer() [1/3]

std::shared_ptr< named_tensor_views > viam::sdk::MLModelService::infer ( const named_tensor_views & inputs )

inline

Runs the model against the input tensors and returns inference results as tensors.

Parameters

`inputs`

The input tensors on which to run inference.

Returns

The results of the inference as a shared pointer to named_tensor_views. The data viewed by the views is only valid for the lifetime of the returned shared_ptr.

infer() [2/3]

std::shared_ptr< named_tensor_views > viam::sdk::impl::MLModelServiceClient::infer ( const named_tensor_views & inputs, const AttributeMap & extra )

overridevirtual

Runs the model against the input tensors and returns inference results as tensors.

Parameters

`inputs`	The input tensors on which to run inference.
`extra`	Any additional arguments to the method.

Returns

The results of the inference as a shared pointer to named_tensor_views. The data viewed by the views is only valid for the lifetime of the returned shared_ptr.

Implements viam::sdk::MLModelService.

infer() [3/3]

virtual std::shared_ptr< named_tensor_views > viam::sdk::MLModelService::infer ( const named_tensor_views & inputs, const AttributeMap & extra )

virtual

Runs the model against the input tensors and returns inference results as tensors.

Parameters

`inputs`	The input tensors on which to run inference.
`extra`	Any additional arguments to the method.

Returns

The results of the inference as a shared pointer to named_tensor_views. The data viewed by the views is only valid for the lifetime of the returned shared_ptr.

Implements viam::sdk::MLModelService.

metadata() [1/2]

struct metadata viam::sdk::impl::MLModelServiceClient::metadata ( const AttributeMap & extra )

overridevirtual

Returns metadata describing the inputs and outputs of the model.

Parameters

`extra`

Any additional arguments to the method.

Implements viam::sdk::MLModelService.

metadata() [2/2]

virtual struct metadata viam::sdk::MLModelService::metadata ( const AttributeMap & extra )

virtual

Returns metadata describing the inputs and outputs of the model.

Parameters

`extra`

Any additional arguments to the method.

Implements viam::sdk::MLModelService.

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The documentation for this class was generated from the following file:

• src/viam/sdk/services/private/mlmodel_client.hpp