getBuildInfo
Class: dlhdl.Workflow
Namespace: dlhdl
Description
returns a structure containing the bitstream resource utilization.area
= getBuildInfo(workflowObject
)
Input Arguments
workflowObject
— Deep learning network deployment options
dlhdl.Workflow
object
Deep learning network deployment options, specified as a
dlhdl.Workflow
object.
Output Arguments
area
— Bitstream resource utilization
structure
Bitstream resource utilization returned as a structure.
The
Block Memory Bits
utilization is available for Intel® bitstreams only.The resource utilization results of Intel bitstreams show the
Block RAM
utilization as 100%. To analyze bitstream resource utilization, refer to theBlock Memory Bits
utilization instead.
Examples
Retrieve arria10soc_single
Bitstream Resource Utilization
Create a file in your current working folder called
getLogoNetwork.m
. In the file, enter:function net = getLogoNetwork if ~isfile('LogoNet.mat') url = 'https://www.mathworks.com/supportfiles/gpucoder/cnn_models/logo_detection/LogoNet.mat'; websave('LogoNet.mat',url); end data = load('LogoNet.mat'); net = data.convnet; end
Create a
dlhdl.Workflow
object that hasLogoNet
as theNetwork
argument andarria10soc_single
as theBitstream
argument.snet = getLogoNetwork; hW = dlhdl.Workflow('Network',snet,'Bitstream','arria10soc_single');
Call
getBuildInfo
argument to retrieve thearria10soc_single
resource utilization. Store the resource utilization inarea
.area = hW.getBuildInfo
Deep Learning Processor Bitstream Build Info Resource Utilized Total Percentage ------------------ ---------- ------------ ------------ LUTs (CLB/ALM)* 93578 251680 37.18 DSPs 278 1687 16.48 Block RAM 2131 2131 100.00 Block Memory Bits 23211920 43642880 53.19 * LUT count represents Configurable Logic Block(CLB) utilization in Xilinx devices and Adaptive Logic Module (ALM) utilization in Intel devices. area = struct with fields: LUT: [93578 251680] BlockMemoryBits: [23211920 43642880] BlockRAM: [2131 2131] DSP: [278 1687]
Version History
Introduced in R2021a
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