2.3.20 Platforms

All supported platforms in the Toolkit can be loaded with a simple function call:

client.platforms()

There are two ways to select your chosen platform:

# The first way
chosen_platform = client.platforms[1]

# The second way
chosen_platform = client.platforms.get_platform_by_name('Amulet 4.1')

# Print out platform information
chosen_platform()

# Set the device configuration to the desired platform
client.pipeline.set_device_configuration(platform=chosen_platform, debug=False)

class mplabml.datamanager.clientplatformdescriptions. ClientPlatformDescriptions(connection)

Base class for a collection of functions

build_platform_descriptions()

Populates the platform_list property from the server

get_platforms(function_type='')

Gets all functions as function objects

Parameters

function_type (optional [ str ]) – Type of function to retrieve

Returns

list of functions

class mplabml.datamanager.clientplatformdescription. ClientPlatformDescription(connection)

Base class for a PlatformDescription object

get_config(test_data='', debug=False, target_processor=None, target_compiler=None, target_application=None, float_options=None, platform_version='')

Generates a default configuration dictionary for downloading a knowledgepack using this platform programmatically

Parameters

• test_data (str) – Name of test data file to load onto knowledge pack

• debug (bool) – Build option for knowledge pack. Debug mode will have extra printouts to help with debugging issues.

initialize_from_dict(input_dictionary)

Populates a single transform object from a dictionary of properties from the server

refresh()

Calls the REST API and populates the local object properties from the server