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the requirements.txt for GNN-DSE requires tensorflow 2.2.1 which requires numpy < 1.19.0, but the programl requires numpy >= 1.19.3, . How can i solve this problem.

Hi, I am just wondering how to get the results in your paper. Since there are multiple steps, I am a little confused about how to get the result in Table 2.

I train the model with the default setting and inference with the 'test_model_state_dict.pth'. I thought I would get a similar result with the M7 model (default setting). However, I didn't find any numbers in Table 2 similar.

Could you please tell me the correct steps? In addition, will the regression and classification task get the same result in the metrics from 'Latency' to 'BRAM'? Does the 'All' in Table 2 represents the result of RMSE in the regression task? Does the 'perf' in the log file mean the latency?

When I try to generate graph using programl, say
graph_generator(kernel, path, BENCHMARK, generate_programl = True)
the using of commands llvm2graph and graph2json in programl_script.sh meets some troubles.
I have already installed programl 0.3.2. How can I use these two commands of it?

####################
now processing aes
/home/qinaox/GNN-DSE/GNN-DSE/dse_database/programl_script.sh: line 3: llvm2graph: command not found
/home/qinaox/GNN-DSE/GNN-DSE/dse_database/programl_script.sh: line 4: graph2json: command not found
Traceback (most recent call last):
File "graph_gen.py", line 439, in
graph_generator(kernel, path, BENCHMARK, generate_programl = True)
File "graph_gen.py", line 390, in graph_generator
g_nx = read_json_graph(join(path, name))
File "graph_gen.py", line 78, in read_json_graph
js_graph=json.load(f)
File "/usr/lib/python3.6/json/init.py", line 299, in load
parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
File "/usr/lib/python3.6/json/init.py", line 354, in loads
return _default_decoder.decode(s)
File "/usr/lib/python3.6/json/decoder.py", line 339, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/usr/lib/python3.6/json/decoder.py", line 357, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

When i run the command python3 -W ignore graph-gen.py, it reports an error as following:

This is because the order of functions in the C code is inconsistent with that in the generated llvm IR (xx.ll), thus resulting a wrong match of loops in graph-gen.py. I notice that the given example 'aes' also shows the problem when running graph-gen.py. So how is the final graph (with pragma node) under the 'programl/processed' directory correctly generated ?