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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