Graph.allocate()
| Info | Value | 
|---|---|
| Package | mvnc | 
| Module | mvncapi | 
| Version | 2.0 | 
| See also | Device, Graph | 
Overview
This method allocates the Graph to a Device. Each Graph instance can only be allocated to a single Device instance.
Upon successful return from this method, the Graph will be ready to perform inferences.
Graph.destroy() frees the memory allocated with this method.
Syntax
graph.allocate(device, graph_buffer)
Parameters
| Parameter | Type | Description | 
|---|---|---|
| device | Device | A Device that this Graph will be allocated to. The DeviceState must be OPENED. | 
| graph_buffer | bytes | Raw data read from a neural network graph file that was created with the NCSDK mvNCCompile tool. | 
Return
None
Raises
Exception with a Status.INVALID_PARAMETERS code if an invalid option is passed or Exception with another status code from Status if underlying function calls return a status other than Status.OK.
Notes
None.
Example
from mvnc import mvncapi
# Get a list of valid device identifiers
device_list = mvncapi.enumerate_devices()
# Create a Device instance for the first device found
device = mvncapi.Device(device_list[0])
# Open communication with the device
device.open()
# Create a Graph
graph = mvncapi.Graph('graph1')
# Read a compiled network graph from file (set the graph_filepath correctly for your graph file)
graph_filepath = './graph'
with open(graph_filepath, 'rb') as f:
    graph_buffer = f.read()
# Allocate the graph on the device
graph.allocate(device, graph_buffer)
#
# Use the device...
#
# Deallocate and destroy the graph handle, close the device, and destroy the device handle
graph.destroy()
device.close()
device.destroy()