deep network quantizer does not work
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Hi,
I have istalled the add-on and the required toolbox. However, when I hit "New" in Deep Network Quantizer, I get the error message "Deep Network Quantizer requires a GPU execution environment. How to fix it?
I'm using Matlab 2020a. This is my GPU settings:
>> gpuDevice
ans =
CUDADevice with properties:
Name: 'GeForce GTX 1070'
Index: 1
ComputeCapability: '6.1'
SupportsDouble: 1
DriverVersion: 11
ToolkitVersion: 10.1000
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 8.5899e+09
AvailableMemory: 7.0146e+09
MultiprocessorCount: 16
ClockRateKHz: 1645000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 1
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
采纳的回答
Raymond Norris
2020-8-19
0 个投票
Hi Kaijiun,
Looks like you have the right ComputeCapability (6.1). Just a quick check: in addition to the Deep Learning Toolbox Model Quantization Library support package, you also have the GPU Coder Interface for Deep Learning Libraries support package installed as well, is that right?
If so, I would suggest reaching out to Technical Support (support@mathworks.com) to have them troubleshoot this.
Raymond
2 个评论
Kaijiun Yang
2020-8-21
Ali Al-Saegh
2021-2-3
Dear Raymond,
Please help me. I posted a question here https://www.mathworks.com/matlabcentral/answers/734902-size-of-a-quantized-dnn?s_tid=srchtitle .
更多回答（1 个）
ikeuwanuakwa
2020-10-19
0 个投票
I have a different problem, this line of code is given error
quantOpts = dlquantizationOptions('MetricFcn', ...
{@(x)hComputeModelAccuracy(x, net, aug_valData)});
calResults = calibrate(quantObj, aug_calData)
valResults = validate(quantObj, aug_valData, quantOpts)
valResults.MetricResults.Result
Error
Function definitions in a script must appear at the end of the file.
Move all statements after the "hComputeModelAccuracy" function definition to before the first local function
definition.
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