import pyzed No Error, but import pyzed.sl report an Error (zed-pythonAPI Installing)
reason: Python version is too high. As shown in the figure below, python 3.8+ are prone to lead to this problem
Solution: install Python 3.7
Additional notes:
if you use a virtual environment, such as anaconda, download the latest anaconda and create your own virtual environment, choose python = 3.7
Ubuntu install virtualenv error: UnicodeDecodeError
Error message:
when installing virtualenv with PIP3 under Ubuntu 18 system, the following error is reported:
UnicodeDecodeError: 'ascii' codec can't decode byte 0xe2 in position 1205: ordinal not in range(128)
Solution:
set the coding type of the terminal again
export LC_ALL=C.UTF-8TVM operate error: TVMError: AssertionError
Traceback (most recent call last):
File "tune_relay_x86.py", line 248, in <module>
tune_and_evaluate(tuning_option)
File "tune_relay_x86.py", line 241, in tune_and_evaluate
lib = relay.build_module.build(mod, target=target, params=params)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/relay/build_module.py", line 468, in build
graph_json, runtime_mod, params = bld_mod.build(
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/relay/build_module.py", line 196, in build
self._build(mod, target, target_host, executor, runtime, workspace_memory_pools, mod_name)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
raise get_last_ffi_error()
tvm._ffi.base.TVMError: Traceback (most recent call last):
30: TVMFuncCall
29: tvm::relay::backend::RelayBuildModule::GetFunction(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tvm::runtime::ObjectPtr<tvm::runtime::Object> const&)::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#3}::operator()(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
28: tvm::relay::backend::RelayBuildModule::BuildRelay(tvm::IRModule, tvm::runtime::String const&)
27: tvm::relay::backend::RelayBuildModule::OptimizeImpl(tvm::IRModule)
26: tvm::transform::Pass::operator()(tvm::IRModule) const
25: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
24: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
23: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
22: tvm::relay::transform::FunctionPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
21: _ZN3tvm7runtime13PackedFuncObj9ExtractorINS0_16PackedFuncSubObjIZNS0_15TypedPackedFuncIFNS_5relay8FunctionES6_NS_8IRModuleENS_9transform11PassContextEEE17AssignTypedLambdaIZNS5_9transform13AlterOpLayoutEvEUlS6_S7_S9_E_EEvT_EUlRKNS0_7TVMArgsEPNS0_11TVMRetValueEE_EEE4CallEPKS1_SG_SK_
20: tvm::relay::alter_op_layout::AlterOpLayout(tvm::RelayExpr const&)
19: tvm::relay::ForwardRewrite(tvm::RelayExpr const&, tvm::runtime::TypedPackedFunc<tvm::RelayExpr (tvm::relay::Call const&, tvm::runtime::Array<tvm::RelayExpr, void> const&, tvm::runtime::ObjectRef const&)> const&, std::function<tvm::runtime::ObjectRef (tvm::relay::Call const&)>, std::function<tvm::RelayExpr (tvm::RelayExpr const&)>)
18: tvm::relay::MixedModeMutator::VisitExpr(tvm::RelayExpr const&)
17: tvm::relay::MixedModeMutator::VisitLeaf(tvm::RelayExpr const&)
16: _ZN3tvm5relay16MixedModeMutator17DispatchVisitExprERKNS_9Re
15: tvm::relay::ExprMutator::VisitExpr(tvm::RelayExpr const&)
14: tvm::relay::ExprFunctor<tvm::RelayExpr (tvm::RelayExpr const&)>::VisitExpr(tvm::RelayExpr const&)
13: _ZZN3tvm5relay11ExprFunctorIFNS_9RelayExprERKS2_EE10InitVTableEvENUlR
12: tvm::relay::ExprMutator::VisitExpr_(tvm::relay::FunctionNode const*)
11: tvm::relay::MixedModeMutator::VisitExpr(tvm::RelayExpr const&)
10: tvm::relay::MixedModeMutator::VisitLeaf(tvm::RelayExpr const&)
9: _ZN3tvm5relay16MixedModeMutator17DispatchVisitExprERKNS_9Re
8: tvm::relay::ExprMutator::VisitExpr(tvm::RelayExpr const&)
7: tvm::relay::ExprFunctor<tvm::RelayExpr (tvm::RelayExpr const&)>::VisitExpr(tvm::RelayExpr const&)
6: _ZZN3tvm5relay11ExprFunctorIFNS_9RelayExprERKS2_EE10InitVTableEvENUlR
5: tvm::relay::MixedModeMutator::VisitExpr_(tvm::relay::CallNode const*)
4: tvm::relay::ForwardRewriter::Rewrite_(tvm::relay::CallNode const*, tvm::RelayExpr const&)
3: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::TypedPackedFunc<tvm::RelayExpr (tvm::relay::Call const&, tvm::runtime::Array<tvm::RelayExpr, void> const&, tvm::runtime::ObjectRef const&)>::AssignTypedLambda<tvm::RelayExpr (*)(tvm::relay::Call const&, tvm::runtime::Array<tvm::RelayExpr, void> const&, tvm::runtime::ObjectRef const&)>(tvm::RelayExpr (*)(tvm::relay::Call const&, tvm::runtime::Array<tvm::RelayExpr, void> const&, tvm::runtime::ObjectRef const&))::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
2: tvm::RelayExpr tvm::relay::LayoutRewriter<tvm::relay::alter_op_layout::AlterTransformMemorizer>(tvm::relay::Call const&, tvm::runtime::Array<tvm::RelayExpr, void> const&, tvm::runtime::ObjectRef const&)
1: tvm::relay::alter_op_layout::AlterTransformMemorizerNode::CallWithNewLayouts(tvm::relay::Call const&, tvm::Attrs, std::vector<tvm::RelayExpr, std::allocator<tvm::RelayExpr> > const&)
0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
rv = local_pyfunc(*pyargs)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/relay/op/nn/_nn.py", line 112, in alter_op_layout_dense
return topi.nn.dense_alter_layout(attrs, inputs, tinfos, out_type)
File "/home/lizhenxu/anaconda3/lib/python3.8/site-packages/decorator.py", line 231, in fun
return caller(func, *(extras + args), **kw)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/target/generic_func.py", line 286, in dispatch_func
return dispatch_dict[k](*args, **kwargs)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/topi/x86/dense_alter_op.py", line 51, in _alter_dense_layout
_, outs = relay.backend.te_compiler.select_implementation(
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/relay/backend/te_compiler.py", line 201, in select_implementation
outs = impl.compute(attrs, inputs, out_type)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/relay/op/op.py", line 126, in compute
return _OpImplementationCompute(self, attrs, inputs, out_type)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
raise get_last_ffi_error()
3: TVMFuncCall
2: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::relay::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#4}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
1: tvm::relay::OpImplementation::Compute(tvm::Attrs const&, tvm::runtime::Array<tvm::te::Tensor, void> const&, tvm::Type const&)
0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
rv = local_pyfunc(*pyargs)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/relay/op/strategy/generic.py", line 833, in _compute_dense
return [topi_compute(*args)]
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/autotvm/task/topi_integration.py", line 164, in wrapper
cfg = DispatchContext.current.query(tgt, workload)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/autotvm/task/dispatcher.py", line 76, in query
ret = self._query_inside(target, workload)
File "/home/lizhenxu/ZJJ/tvm_0.9/tvm/python/tvm/autotvm/task/dispatcher.py", line 421, in _query_inside
assert wkl == workload
TVMError: AssertionError
Run the official website code tune_relay_x86.py report the error above.
Solution: delete the .log file that was generated by running this code before
These two days, run a mask RCNN series of network code, and execute the command Python 3 setup A bunch of such errors are received during py build development, as follows:
.../detectron2/layers/csrc/deformable/deform_conv.h(136): error: identifier "AT_CHECK" is undefined
.../detectron2/layers/csrc/deformable/deform_conv.h(184): error: identifier "AT_CHECK" is undefined
.../detectron2/layers/csrc/deformable/deform_conv.h(234): error: identifier "AT_CHECK" is undefined
.../detectron2/layers/csrc/deformable/deform_conv.h(284): error: identifier "AT_CHECK" is undefined
.../detectron2/layers/csrc/deformable/deform_conv.h(341): error: identifier "AT_CHECK" is undefined
.../detectron2/layers/csrc/deformable/deform_conv_cuda.cu(155): error: identifier "AT_CHECK " is undefined
.../detectron2/layers/csrc/deformable/deform_conv_cuda.cu(338): error: identifier "AT_CHECK " is undefined
.../detectron2/layers/csrc/deformable/deform_conv_cuda.cu(503): error: identifier "AT_CHECK " is undefined
.../detectron2/layers/csrc/deformable/deform_conv_cuda.cu(696): error: identifier "AT_CHECK " is undefined
.../detectron2/layers/csrc/deformable/deform_conv_cuda.cu(823): error: identifier "AT_CHECK " is undefined
.../detectron2/layers/csrc/deformable/deform_conv_cuda.cu(953): error: identifier "AT_CHECK " is undefined
11 errors detected in the compilation of ".../detectron2/layers/csrc/deformable/deform_conv _cuda.cu".
Solution:
Replace all AT_CHECK in deform_conv_cuda.cpp with TORCH_CHECK
or macro definition:
#ifndef AT_CHECK #define AT_CHECK TORCH_CHECK #endif
Just made a Python program to calculate body mass index BMI, and used Pyside6 to draw the user interface. When using auto-py-exe ( auto-py-to-exe is based on pyinstaller, compared to pyinstaller, it has more GUI interface, which makes it easier to use. for simplicity). After packaging, click main.exe, but it prompts an error: RuntimeError: Unable to open/read ui device. Repeated debugging does not know where the problem is.
At first, I thought there was a problem with the loading UI statement in the main program (main.py). I repeatedly modified the main program, and finally found that it was not the problem of the program.
class Stats():
def __init__(self):
# loading UI file
self.ui = QUiLoader().load(".\\cac_BMI.ui") Finally, I found that I needed to put the UI file into the packaged executable folder.
Put the UI file and the main program in the same folder, which is convenient for the main program to call.
Then double-click main.exe, has been able to successfully open the program user interface, and the problem has been successfully solved.
The error information is as follows:
ERROR: Command errored out with exit status 1:
command: /home/hanqing/PycharmProjects/djangoProject/hz_venv/bin/python -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-79c7p3i8/mysqlclient/setup.py'"'"'; __file__='"'"'/tmp/pip-install-79c7p3i8/mysqlclient/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-jhaimgx4
cwd: /tmp/pip-install-79c7p3i8/mysqlclient/
Complete output (12 lines):
/bin/sh: 1: mysql_config: not found
/bin/sh: 1: mariadb_config: not found
/bin/sh: 1: mysql_config: not found
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/tmp/pip-install-79c7p3i8/mysqlclient/setup.py", line 15, in <module>
metadata, options = get_config()
File "/tmp/pip-install-79c7p3i8/mysqlclient/setup_posix.py", line 65, in get_config
libs = mysql_config("libs")
File "/tmp/pip-install-79c7p3i8/mysqlclient/setup_posix.py", line 31, in mysql_config
raise OSError("{} not found".format(_mysql_config_path))
OSError: mysql_config not found
----------------------------------------
ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
Solution:
sudo apt-get install libmysqlclient-dev
pip install mysqlclient
When I opened IDA today, It suddenly appeared:
it startled me. What’s going on? Calm down and analyze it. I’m going to open it in the same directory as IDA. See what error reports:
the result can’t be opened, and then I directly open idat64.exe,
there should be a problem with the python path. Open the environment variable and add the following to the user environment variable:
PYTHONHOME #EVI PATH
C:/Program File/python #PATH
Then save and open IDA to use
[problem description]
The author encountered a classic error in flash. The error information is as follows:
[problem analysis]
application context is the application context of Flask, which contains variables such as app and g. When it is not convenient to operate app, we use current_app instead of app. current_app can only be accessed when processing requests, and I used current_app outside of processing requests, so an error was reported. Specifically, I used current_app in a custom tool class, ran the program, and could not get the application context when the program loaded the tool class, so the error was reported. The error code is as follows.
[problem-solving]
Since you can’t use current_app in the class property in the tool class, comment out the code and put it in the class method, and modify it as follows. The class method defined by me is used in the view, so the current_app is used in the view when processing the request, so no error will be reported and the problem is solved.
Error description
When running vibe, the CentOS server without display is used. When using pyrender for off screen rendering, errors are reported OpenGL.error.GLError: GLError(err = 12296), as follows:
Traceback (most recent call last):
File "demo.py", line 416, in <module>
main(args)
File "demo.py", line 278, in main
renderer = Renderer(resolution=(orig_width, orig_height), orig_img=True, wireframe=args.wireframe)
File "***/VIBE/lib/utils/renderer.py", line 60, in __init__
point_size=1.0
File "***/anaconda3/envs/vibe-env/lib/python3.7/site-packages/pyrender/offscreen.py", line 31, in __init__
self._create()
File "***/anaconda3/envs/vibe-env/lib/python3.7/site-packages/pyrender/offscreen.py", line 134, in _create
self._platform.init_context()
File "***/anaconda3/envs/vibe-env/lib/python3.7/site-packages/pyrender/platforms/egl.py", line 177, in init_context
assert eglInitialize(self._egl_display, major, minor)
File "***/anaconda3/envs/vibe-env/lib/python3.7/site-packages/OpenGL/platform/baseplatform.py", line 409, in __call__
return self( *args, **named )
File "***/anaconda3/envs/vibe-env/lib/python3.7/site-packages/OpenGL/error.py", line 232, in glCheckError
baseOperation = baseOperation,
OpenGL.error.GLError: GLError(
err = 12296,
baseOperation = eglInitialize,
cArguments = (
<OpenGL._opaque.EGLDisplay_pointer object at 0x7f883a03a170>,
c_long(0),
c_long(0),
),
result = 0
)
Solution
Ubuntu: https://pyrender.readthedocs.io/en/latest/install/index.html#installmesa Use OSMesa to offscreen render.
It is more convenient to use · CONDA · to install osmesa as follows:
conda install osmesa
Note: after installing osmesa, reinstall pyopengl, otherwise an error will still be reported, as follows:
pip uninstall pyopengl
git clone https://github.com/mmatl/pyopengl.git
pip install ./pyopengl
Specify PYOPENGL_PLATFORM before running the scriptis osmesa , as follows:
# demp.py
import os
# os.environ['PYOPENGL_PLATFORM'] = 'egl'
os.environ['PYOPENGL_PLATFORM'] = 'osmesa'
Note: os.environ[‘PYOPENGL_PLATFORM’] = ‘osmesa’ should ideally follow import os to ensure that PYOPENGL_PLATFORM is changed to osmesa before using render, or you can explicitly specify os.environ before using render specifically [‘PYOPENGL_PLATFORM’] = ‘osmesa’.
How to Solve Model training Error: _pickle.Picklingerror: can’t pickle
1. Problem description
Recently, when learning the target tracking model of siamfc model, it is found that the following problems always occur during model training on window platform:
_pickle.PicklingError: Can’t pickle <class ‘pairwise.GenericDict’>: attribute lookup GenericDict on pairwise failed
See the following figure for details:
2. Solution
The main problem is that the code is written on Linux platform, test.py has no problem in actual operation, but train.py has problem in window platform, the main problem is on Dataloader, so we can modify this part of the code. The main problem lies in the Dataloader, so we can modify this part of the code. Or we can directly train and test the model under Linux with the source code.
The solution to this problem on Window platform is as follows:
Modify the original code from num_workers = 4 to num_workers = 0 and it will work as follows.
after the modification is completed, the operation effect is as follows:
Error:
pytorch Error: RuntimeError: Unable to find a valid cuDNN algorithm to run convolution
RuntimeError: Unable to find a valid cuDNN algorithm to run convolution
Cause analysis:
The batch_size is too large and there is not enough memory.
Solution:
Turn down batch_size.
There are totally four methods to solve this error
Solution:
Method 1: the SSL certificate problem
you can open the URL with the following code
import ssl
# This restores the same behavior as before.
context = ssl._create_unverified_context()
response = urllib.request.urlopen("https://no-valid-cert", context=context)
https://no-valid-cert you can change it to the website you want
Method 2: Change https to http, because some versions of python verify the SSL certificate once when you urllib.urlopen an https.
Method 3: Add the following codes:
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
I just add it to the py file when calling commands from the urllib library that comes with python 3.8.0
model = ALBEF(config=config, text_encoder=args.text_encoder, tokenizer=tokenizer, init_deit=True)
That is, when the model is initialized (init_deit), the error occurs when calling return self.sslsocket_class._create in lib/python3.8/http/client.py under python 3.8, but at the beginning of the py file for initializing the model Add these two lines and you’ll be fine
Method 4:
Upgrade your python interpreter version, e.g. 2.7 or 3.7 to 3.8 or even 3.9