我无法将tensorflow 2.0模块导入我的代码中，但最终出现此错误
Traceback (most recent call last):
File "C:\Users\Perseus\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\Perseus\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\Perseus\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "C:\Users\Perseus\Anaconda3\lib\imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "C:\Users\Perseus\Anaconda3\lib\imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: DLL load failed: The specified module could not be found.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\Perseus\Anaconda3\lib\runpy.py", line 183, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "C:\Users\Perseus\Anaconda3\lib\runpy.py", line 142, in _get_module_details
return _get_module_details(pkg_main_name, error)
File "C:\Users\Perseus\Anaconda3\lib\runpy.py", line 109, in _get_module_details
__import__(pkg_name)
File "C:\Users\Perseus\Anaconda3\lib\site-packages\tensorflow\__init__.py", line 27, in <module>
from tensorflow._api.v2 import audio
File "C:\Users\Perseus\Anaconda3\lib\site-packages\tensorflow\_api\v2\audio\__init__.py", line 8, in <module>
from tensorflow.python.ops.gen_audio_ops import decode_wav
File "C:\Users\Perseus\Anaconda3\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "C:\Users\Perseus\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "C:\Users\Perseus\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\Perseus\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\Perseus\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "C:\Users\Perseus\Anaconda3\lib\imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "C:\Users\Perseus\Anaconda3\lib\imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: DLL load failed: The specified module could not be found.
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
答案 0 :(得分：1)
我认为您打了this bug。
您可以将张量流降级为#include <cassert>
#include <cstdint>
#include <functional>
#include <iostream>
#include <map>
#include <memory>
class LogicOperation
{
public:
virtual ~LogicOperation() = default;
virtual bool operation(bool*, uint8_t count) = 0;
};
using TCreateMethod = std::function<std::unique_ptr<LogicOperation>()>;
class LogicOperationFactory
{
static std::map<std::string, TCreateMethod> s_methods;
public:
template<class T>
static bool Register(const std::string& name)
{
std::map<std::string, TCreateMethod>::iterator it;
it = s_methods.find(name);
if (it != s_methods.end())
return false;
s_methods[name] = []() -> std::unique_ptr<LogicOperation> {
// Constructs an object of type T and wraps it in a std::unique_ptr
return std::make_unique<T>(); // use default constructor
};
return true;
}
static std::unique_ptr<LogicOperation> Create(const std::string& name)
{
auto iter = s_methods.find(name);
return (iter != s_methods.end()) ? (iter->second)() : nullptr;
}
};
std::map<std::string, TCreateMethod> LogicOperationFactory::s_methods;
class FooLogic : public LogicOperation
{
public:
bool operation(bool*, uint8_t) override {
std::cout << "FooLogic::operation" << std::endl;
return true;
}
};
class BarLogic : public LogicOperation
{
public:
bool operation(bool*, uint8_t) override {
std::cout << "BarLogic::operation" << std::endl;
return true;
}
};
static bool s_registeredFooLogic = LogicOperationFactory::Register<FooLogic>("FooLogic");
static bool s_registeredBarLogic = LogicOperationFactory::Register<BarLogic>("BarLogic");
int main() {
assert(s_registeredFooLogic && s_registeredBarLogic);
auto bar_logic = LogicOperationFactory::Create("BarLogic");
bool flag = false;
bar_logic->operation(&flag, 1);
auto null_logic = LogicOperationFactory::Create("ThisDoesNotExist");
assert(nullptr == null_logic);
return 0;
}
v1.10.0或确保您具有CUDA，Tensorflow和CUDNN的以下版本：
或者，您可以卸载tensorflow并通过conda安装它：
pip install tensorflow-gpu==1.10.0
答案 1 :(得分：0)
tensorflow 2.0现在正式可用。您可以重试。这次，如果正确安装了CUDA和CuDNN，它应该可以正常工作而不会出现任何错误。