[GitHub] [tvm] timmywanttolearn opened a new issue, #12248: [Bug] Can not tune onnx models in M1 mac

[GitBox <gi...@apache.org>]

timmywanttolearn opened a new issue, #12248:
URL: https://github.com/apache/tvm/issues/12248

   I am using M1 mac to tune onnx resnet50 using the code from TVM tutorial.
   And I met problems both with autoscheduler and without it.
   
   
   ### Expected behavior
   It should generate information just like the gudiance.
   ```
   # [Task  1/24]  Current/Best:    9.65/  23.16 GFLOPS | Progress: (60/1000) | 130.74 s Done.
   # [Task  1/24]  Current/Best:    3.56/  23.16 GFLOPS | Progress: (192/1000) | 381.32 s Done.
   # [Task  2/24]  Current/Best:   13.13/  58.61 GFLOPS | Progress: (960/1000) | 1190.59 s Done.
   ```
   ### Actual behavior
   
   Using command line
   ```
   tvmc tune \               
   --target "llvm" \
   --output resnet50-v2-7-autotuner_records.json \
   resnet50-v2-7.onnx
   ```
   The result is
   ```
   ('Traceback (most recent call last):\n  File "/Users/catbeta/Documents/research/tvm/python/tvm/autotvm/measure/measure_methods.py", line 597, in __call__\n    func.export_library(filename, self.build_func)\n  File "/Users/catbeta/Documents/research/tvm/python/tvm/runtime/module.py", line 538, in export_library\n    return fcompile(file_name, files, **kwargs)\n  File "/Users/catbeta/Documents/research/tvm/python/tvm/contrib/tar.py", line 58, in tar\n    raise RuntimeError(msg)\nRuntimeError: Tar error:\ntar: no files or directories specified\n\n', RuntimeError('Tar error:\ntar: no files or directories specified\n'))      [('tile_ic', [-1, 1]), ('tile_oc', [-1, 256]), ('tile_ow', [-1, 16]), ('tile_oh', 1)],None,497
   DEBUG:autotvm:No: 324   GFLOPS: 0.00/0.00       result: Traceback (most recent call last):
     File "/Users/catbeta/Documents/research/tvm/python/tvm/autotvm/measure/measure_methods.py", line 597, in __call__
       func.export_library(filename, self.build_func)
     File "/Users/catbeta/Documents/research/tvm/python/tvm/runtime/module.py", line 538, in export_library
       return fcompile(file_name, files, **kwargs)
     File "/Users/catbeta/Documents/research/tvm/python/tvm/contrib/tar.py", line 58, in tar
       raise RuntimeError(msg)
   RuntimeError: Tar error:
   tar: no files or directories specified
   ```
   When I use python api
   ```
   
   from tvm.driver import tvmc
   
   model = tvmc.load('my_model.onnx') #Step 1: Load
   tvmc.tune(model, target="llvm -mcpu=boradwell")
   package = tvmc.compile(model, target="llvm")
   result = tvmc.run(package, device="cpu")
   
   ```
   The same thing happens.
   I wonder if you have ever used M1 chips to run the tutorial.
   ### Environment
   M1 macos
   python --3.8
   miniforge
   TVM -- 0.10.dev0
   
   ### Steps to reproduce
   
   Use M1 mac to run
   ```
   tvmc tune \               
   --target "llvm" \
   --output resnet50-v2-7-autotuner_records.json \
   resnet50-v2-7.onnx
   ```
   or execute
   ```
   from tvm.driver import tvmc
   
   model = tvmc.load('my_model.onnx') #Step 1: Load
   tvmc.tune(model, target="llvm -mcpu=boradwell")
   package = tvmc.compile(model, target="llvm")
   result = tvmc.run(package, device="cpu")
   ```
   


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