I am using SNPE 1.25.1.310 and I am trying to follow the UDL tutorial from here: https://developer.qualcomm.com/docs/snpe/udl_tutorial.html.
I am confused with the value of blob_size (by snpe-dlc-info) and the blob.size() of the UDLContext object.
In preparing the blob, I followed the tutorial and first packed an int for the layer type:
packed = struct.pack('i', layer_type) # layer_type=5, will result in '\x05\x00\x00\x00' getting packed
After generating the DLC, I then used snpe-dlc-info to check the output, and I noticed that for my UDL, it displays "blob_size: 1", which is not correct because I am sure I packed the rest of the weights data and the total packed size should be around 589,852 for my UDL (checked with len(packed)). I then checked the code for snpe-dlc-info, I found that it actually gets the packed layer_type to compute the blob_size.
# in snpe-1.25.1.310/lib/python/snpe/dlc_utils/snpe_dlc_utils.pydef extract_user_defined(self, layer):print(repr(layer)) # dict, with u'blob': '\x05'self.add_parm("blob_size", len(layer['blob']))
// in /snpe-1.25.1.310/include/zdl/DlSystem/UDLContext.hppUDLContext(const std::string& name,const std::string& type,int32_t id,const std::string& blob) :m_Name(name), m_Type(type), m_Size(blob.size()), m_Id(id) {// FIXME not dealing with alloc errorm_Buffer = new uint8_t[m_Size];std::memcpy(m_Buffer, blob.data(), m_Size);}
Notice that m_Size is based on the length of the blob object. Using the sample layer_type values I used above, I again get m_Size of 1 and 3 for layer_type=5 and layer_type=6843009, respectively. This also does not look right. Furthermore, I might be wrong, but size() should not be the appropriate way to measure the length of C-style strings (which I assume is the data type of the packed bytes from the Python code).
So my main question is, are the 1st bytes packed into the blob used for computing the blob size? Why am I getting blob_size / blob.size() based on the layer type value I put in?
I think this is related to my other issue:
If I use SNPE 1.24, it is working correct.
If I use SNPE 1.25 - 1.27 (latest at the time of writing), it is bugged.
I also got blob_size euqals 1 not 2017 shown in the tutorial when i use snpe-dlc-info to check the dlc file.
SNPE version is snpe-1.27.1.382
I have checked the packed data in the mnist customscale model, listed as below:
The related python script seems normal
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blob size: 2017
It indicates that the library modeltools contains bug when reading data from pack struct:
from snpe.dlc_utils import modeltools
import libDlModelToolsPy as modeltools
As mentioned by gino0, UDLContext.hpp use std::string to represent data, mainly parsing fucntions here containes bug.
If you use SNPE 1.24, the blob_size value reported by snpe-dlc-info will be correct, as well as the UDLContext::getSize() method for the runner code.
It's just a bit annoying that I can't use the more recent versions (1.25 - 1.27) with UDLs.
I used the version 1.24.0.256 you recommened to test, but when i transfer the .caffemodel to .dlc, I got this error below
2019-08-08 11:18:49,732 - 38 - ERROR - File bgr: must be a text file.
I used SNPE 1.27's snpe-dlc-info to test a model when i generated about 1 years ago(Used spne 1.xx), the blob_size value reported 2017.
So I think the problem occurs in model convert function of modeltool.
Bug fixed, cause in version 1.24.0.256 snpe-caffe-to-dlc-udl call convert function lost copyright_file argument.
After generating dlc, snpe-dlc-info check the blob_size is 2017.
What platform did you use?
I met similar runtime error when parse dlc file which include my UDL.
My test environment:
When I used snpe-1.23.1.245 on Mi 9 phone( 855 inside), offline model convert and runtime were both right.
When I used snpe-1.23.1.245 on sa8155p(yocto linux OS), offline model convert wa right. But runtime got error when executed "setUdlBundle". I think the error resulted from wrong data parse.
As you mentioned, 1.25, 1,26, 1,27 have bug of UDLs. I found that 1.23 also has UDL bug when running on sa8155p, while there is no bug when running on Snapdragon 855 Mi9 phone. So it is very werid.
Main question: which SNPE version has no bug for UDLs when running on sa8155p?
Thanks in advance ^_^