[Question] Unable to install mlc-llm - error: module 'tvm.script.parser.tir' has no attribute 'bitwise_and'

[qizzzh]

Steps I followed:

• git clone --recursive https://github.com/mlc-ai/mlc-llm.git
• cd mlc-llm
• pip install .
• python3 -m mlc_llm.build --help

---- > Traceback (most recent call last):
File "/usr/local/Cellar/python@3.10/3.10.9/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py", line 187, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "/usr/local/Cellar/python@3.10/3.10.9/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py", line 110, in _get_module_details
import(pkg_name)
File "/Users/qzhou/mlc-llm/mlc_llm/init.py", line 1, in
from . import dispatch
File "/Users/qzhou/mlc-llm/mlc_llm/dispatch/init.py", line 1, in
from .dispatch_tir_operator import DispatchTIROperator
File "/Users/qzhou/mlc-llm/mlc_llm/dispatch/dispatch_tir_operator.py", line 2, in
import tvm
ModuleNotFoundError: No module named 'tvm'

• pip3 install --upgrade apache-tvm
• python3 -m mlc_llm.build --help

---- > error: module 'tvm.script.parser.tir' has no attribute 'bitwise_and'
--> /home/qzhou/mlc-llm/mlc_llm/dispatch/dispatch_tir_operator_adreno.py:26:21
|
26 | T.bitwise_and(
| ^^^^^^^^^^^^^
note: run with TVM_BACKTRACE=1 environment variable to display a backtrace.

pip3 list | grep tvm
apache-tvm 0.11.1

pip3 list | grep mlc
mlc-llm 0.1.dev391+g2ae8907

[qizzzh]

Installed a newer version tvm and now hit a different issue

pip3 install apache-tvm==0.14.dev148

python3 -m mlc_llm.build --help
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 185, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "/usr/lib/python3.8/runpy.py", line 111, in _get_module_details
import(pkg_name)
File "/home/qzhou/.local/lib/python3.8/site-packages/mlc_llm/init.py", line 2, in
from . import quantization
File "/home/qzhou/.local/lib/python3.8/site-packages/mlc_llm/quantization/init.py", line 1, in
from .quantization import FQuantize
File "/home/qzhou/.local/lib/python3.8/site-packages/mlc_llm/quantization/quantization.py", line 6, in
from tvm import relax, te
ImportError: cannot import name 'relax' from 'tvm' (/home/qzhou/.local/lib/python3.8/site-packages/tvm/init.py)

[qizzzh]

Tried a few other versions. No luck.

[aowen14]

Like the OP, I got:
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 185, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "/usr/lib/python3.8/runpy.py", line 111, in _get_module_details
import(pkg_name)
File "/home/lambda1/AlexCode/mlc-llm/mlc_llm/init.py", line 1, in
from . import dispatch
File "/home/lambda1/AlexCode/mlc-llm/mlc_llm/dispatch/init.py", line 1, in
from .dispatch_tir_operator import DispatchTIROperator
File "/home/lambda1/AlexCode/mlc-llm/mlc_llm/dispatch/dispatch_tir_operator.py", line 2, in
import tvm
after running the steps:
git clone --recursive https://github.com/mlc-ai/mlc-llm.git
cd mlc-llm
pip install .
python3 -m mlc_llm.build --help

Also got this when using the conda install steps available here: https://mlc.ai/package/
conda create -n mlc-chat-venv -c mlc-ai -c conda-forge mlc-chat-nightly
conda activate mlc-chat-venv

[MasterJH5574]

Hello folks, I don't think it's necessary to run pip install .. We will examine if the instruction is redundant. Just cloning the repo is fine.

Meanwhile, to install TVM, we recommend use the pip instructions as listed in https://mlc.ai/package/ to install the TVM nightly build.

[qizzzh]

The pip install . is in the instructions.

https://mlc.ai/package/ doesn't work for me, same issue as #803.

[qizzzh]

@MasterJH5574 any idea on how to fix it? I'm not able to run mlc-llm.

[Hzfengsy]

Sorry, we are not experts in PyPI packaging. We provide x86_64 Linux wheels, and we do not know why it fails on some devices.

We are more than happy to help build new wheels if you can provide the instructions :)

[qizzzh]

Is there any fix pushed? Apparently I'm not the only one hitting the issue.

[Hzfengsy]

The original issue is resolved I think, as you are using the wrong package (apache-tvm vs. mlc wheels).

As for the PyPi issue, another issue #803 is still open.

Meanwhile, I recommend you compile MLC wheels from the source if possible. Feel free to open another issue if you face problems during compiling

[ZhenyuYangGithub]

Is there any fix pushed? Apparently I'm not the only one hitting the issue.

Did you solve the problem?

[ZhenyuYangGithub]

The original issue is resolved I think, as you are using the wrong package (apache-tvm vs. mlc wheels).

As for the PyPi issue, another issue #803 is still open.

Meanwhile, I recommend you compile MLC wheels from the source if possible. Feel free to open another issue if you face problems during compiling

How do we solve the original issue?