I'm trying to create an executable python program that runs on windows without python being installed, for this I'm using cx_Freeze. But I get the following error: "Cannot load mkl_intel_thread.dll"
On my PC, which has python installed (miniconda3), I built the executable using cx_Freeze, and when I ran the executable I also would get "Cannot load mkl_intel_thread.dll". I fixed this by going to my python folder, Library\bin, and copied the mkl_intel_thread.dll file to where the executable is placed. The problem is, when moving the whole folder to another PC (without python installed), this error reappears, even though the mkl_intel_thread.dll is in the folder.
File that I want to distribute (plot.py):
import matplotlib.pyplot as plt
a = [0, 1, 2]
b = [0, 2, 0]
plt.fill(a, b, 'b')
plt.show()
cx_Freeze setup file (setup.py):
import cx_Freeze
import sys
import matplotlib
import numpy
import os
os.environ['TCL_LIBRARY'] = "C:\\Miniconda3\\tcl\\tcl8.6"
os.environ['TK_LIBRARY'] = "C:\\Miniconda3\\tcl\\tk8.6"
executables = [cx_Freeze.Executable("plot.py")]
build_exe_options = {"includes":['numpy.core._methods',
'numpy.lib.format', 'matplotlib.backends.backend_tkagg']}
cx_Freeze.setup(
name = "script",
options = {"build_exe": build_exe_options},
version = "0.0",
description = "A basic example",
executables = executables)
A similar issue affects cx_Freeze 6.1 or 6.2: the executable does not launch, either without error message or with
INTEL MKL ERROR: The specified module could not be found. mkl_intel_thread.dll.
Intel MKL FATAL ERROR: Cannot load mkl_intel_thread.dll.
Configuration:
This is also observed with Python 3.6.8 or earlier versions of numpy such as e.g. 1.18.4+mkl or 1.19.0+mkl.
I've observed that cx_Freeze includes 3 DLLs mkl_rt.dll
, python38.dll
, and vcruntime140.dll
in the subdirectory lib\numpy\core
of the build directory, whereas the original installation does not contain any DLL in the subdirectory site-packages\numpy\core
(all DLLs are in site-packages\numpy\DLLs
). If I manually remove mkl_rt.dll
from the subdirectory lib\numpy\core
of the build directory after building the application with cx_Freeze, the issue disappears and the application works.
This solution can be implemented by adding the following code at the end of the setup.py
script:
numpy_core_dir = os.path.join(dist_dir, 'lib', 'numpy', 'core')
for file_name in os.listdir(numpy_core_dir):
if file_name.lower().endswith('.dll'):
file_path = os.path.join(numpy_core_dir, file_name)
os.remove(file_path)
where dist_dir
is the build directory generated by cx_Freeze (passed to the build_exe
option).
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