RUN TEST

[pocandraspoc]

Hi,

I would like to run the tests one by one but somsing went side ways:

legup@legup-vm:~/Downloads/LeFlow-master/test/01_vecmul_a$ ~/Downloads/LeFlow-master/src/LeFlow 01_vecmul_a.py INFO: Creating project... INFO: Cleaning previous files... INFO: Generating IR from tensorflow... INFO: Cleaning unused dumped files... Traceback (most recent call last): File "/home/legup/Downloads/LeFlow-master/src/LeFlow", line 195, in run_leflow(args.file_name,tool_path) File "/home/legup/Downloads/LeFlow-master/src/LeFlow", line 79, in run_leflow shutil.copy(project_folder+"ir/ir-cluster_0XlaCompiledKernel_true__XlaNumConstantArgs_0XlaNumResourceArgs_0module-with-opt.ll",project_folder+project_name+"_ir_1.ll") File "/usr/lib/python2.7/shutil.py", line 119, in copy copyfile(src, dst) File "/usr/lib/python2.7/shutil.py", line 82, in copyfile with open(src, 'rb') as fsrc: IOError: [Errno 2] No such file or directory: '01_vecmul_a_files/ir/ir-cluster_0XlaCompiledKernel_trueXlaNumConstantArgs_0__XlaNumResourceArgs_0module-with-opt.ll'

I am using the legup virtual box and did chmod +x Leflow.

If you can give me any suggestion where i messed up that would be great thanks!

[pocandraspoc]

Sorry, was my fault I have downloaded the "same" versionof TF from conda cloud but re installed from your lib and it is fine now

[BrayanBarrios]

I have a similar issue after running python test_all.py --fast

I'm running the legup virtual box and I cloned your repo.

Running test for 03_vecmul_b_f Generating the circuit... Traceback (most recent call last): File "../../src/LeFlow", line 200, in run_leflow(args.file_name,tool_path) File "../../src/LeFlow", line 79, in run_leflow shutil.copy(project_folder+"ir/ir-cluster_0XlaCompiledKernel_true__XlaNumConstantArgs_0XlaNumResourceArgs_0module-with-opt.ll",project_folder+project_name+"_ir_1.ll") File "/usr/lib/python2.7/shutil.py", line 119, in copy copyfile(src, dst) File "/usr/lib/python2.7/shutil.py", line 82, in copyfile with open(src, 'rb') as fsrc: IOError: [Errno 2] No such file or directory: '03_vecmul_b_f_files/ir/ir-cluster_0__XlaCompiledKernel_trueXlaNumConstantArgs_0__XlaNumResourceArgs_0__module-with-opt.ll' Generating new inputs and running Tensorflow with them... Testing circuit using Modelsim with new inputs... cp: cannot stat ‘03_vecmul_b_f_files/tfArgs/param*.mif’: No such file or directory /home/legup/legup-4.0/examples//../llvm/Release+Asserts/bin/llvm-dis: Could not open 03_vecmul_b_f.prelto.1.bc: No such file or directory

make[1]: [all] Error 1 make: [03_vecmul_b_f.v] Error 2 Traceback (most recent call last): File "test_all.py", line 92, in modelsim_result = np.array(mif.getModelsimMem(folder+"_files/memory_dump.txt")) File "../src/processMif.py", line 77, in getModelsimMem IOError: [Errno 2] No such file or directory: '03_vecmul_b_f_files/memory_dump.txt'

I don't know what I'm doing wrong. I hope you can help me, thank you!

[BrayanBarrios]

I solved my problem installing an older version of the modified tensorflow.

https://github.com/danielholanda/LeFlow/issues/12#issuecomment-461877820

[SAB95852]

python LeFlow tf1.py INFO: Creating project... INFO: Cleaning previous files... INFO: Generating IR from tensorflow... INFO: Cleaning unused dumped files... Traceback (most recent call last): File "LeFlow", line 200, in run_leflow(args.file_name,tool_path) File "LeFlow", line 79, in run_leflow shutil.copy(project_folder+"ir/ir-cluster_0XlaCompiledKernel_true__XlaNumConstantArgs_0XlaNumResourceArgs_0module-with-opt.ll",project_folder+project_name+"_ir_1.ll") File "/usr/lib/python2.7/shutil.py", line 139, in copy copyfile(src, dst) File "/usr/lib/python2.7/shutil.py", line 96, in copyfile with open(src, 'rb') as fsrc: IOError: [Errno 2] No such file or directory: 'tf1_files/ir/ir-cluster_0XlaCompiledKernel_trueXlaNumConstantArgs_0__XlaNumResourceArgs_0module-with-opt.ll'

I run a simple tensorflow array multiplication.The above error occured.Please suggest any solution

Here is the tf1.py code

import tensorflow as tf with tf.compat.v1.Session() as sess: a = tf.constant(3.0) b = tf.constant(4.0) c = a+b print(sess.run(c))