Intel® Distribution of OpenVINO™ Toolkit
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[Error 15] Toolkit Error: Parser Not Supported: None

idata
Employee
1,062 Views

When i try to compile my company's caffe model,there is a error"[Error 15] Toolkit Error: Parser Not Supported: None".

 

Is it wrong with the model?And ow can i modify it?

 

My company's model has MemoryData layer,but there is no Input layer,like this:

 

name:"PoyaNet"

 

layer {

 

name: "data"

 

type: "MemoryData"

 

top: "data"

 

top: "label"

 

transform_param {

 

mirror: false

 

mean_value: 127.5

 

mean_value: 127.5

 

mean_value: 127.5

 

scale: 0.0078125

 

}

 

memory_data_param {

 

batch_size: 1

 

channels:3

 

height:112

 

width:96

 

}

 

}

 

layer {

 

name: "conv1_1"

 

type: "Convolution"

 

bottom: "data"

 

top: "conv1_1"

 

param {

 

lr_mult: 1

 

decay_mult: 1

 

}

 

param {

 

lr_mult: 2

 

decay_mult: 0

 

}

 

convolution_param {

 

num_output: 64

 

kernel_size: 3

 

stride: 2

 

pad: 1

 

weight_filler {

 

type: "xavier"

 

}

 

bias_filler {

 

type: "constant"

 

value: 0

 

}

 

}

 

}

 

*

 

*

 

*
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4 Replies
idata
Employee
780 Views

@InSilence It looks like your prototxt file is expecting input from a labeled data input. This is likely because your prototxt file is set up for training. You must convert your training prototxt file into a deployment prototxt file for use with input that isn't labeled. This will include removing layers that expected labeled input and data layers. More information can be found here: https://github.com/BVLC/caffe/wiki/Using-a-Trained-Network:-Deploy.

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idata
Employee
780 Views

@Tome_at_Intel Okay,thank you for your response! :)

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idata
Employee
780 Views

@Tome_at_Intel I modify the network prototxt file like the following code:

 

name:"PoyaNet"

 

input: "data"

 

input_shape: {

 

dim: 1

 

dim: 3

 

dim: 112

 

dim: 96

 

}

 

layer {

 

name: "conv1_1"

 

type: "Convolution"

 

bottom: "data"

 

top: "conv1_1"

 

param {

 

lr_mult: 1

 

decay_mult: 1

 

}

 

param {

 

lr_mult: 2

 

decay_mult: 0

 

}

 

convolution_param {

 

num_output: 64

 

kernel_size: 3

 

stride: 2

 

pad: 1

 

weight_filler {

 

type: "xavier"

 

}

 

bias_filler {

 

type: "constant"

 

value: 0

 

}

 

}

 

}

 

but it also error :(
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idata
Employee
780 Views

@Tome_at_Intel My prototxt file extensions is "xxx.prot",i modify it to "xxx.prototxt" ,It's done!

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