Tensorflow模型未在GPU（Windows）上运行
因此，我一直在使用tensorflow和python创建一些运行模型。 使用CPU，这些型号运行没有问题。此后，我激活了CUDA和CUDnn软件包，使模型能够通过GPU运行。但是，我在执行模型时遇到了这个持续的错误： 为了测试GPU，代码从sentdex youtube频道复制 错误来自model=keras.Sequential（）函数，我无法找出问题所在。 先谢谢你**Tensorflow模型未在GPU（Windows）上运行,windows,tensorflow,gpu,python-3.8,Windows,Tensorflow,Gpu,Python 3.8,因此，我一直在使用tensorflow和python创建一些运行模型。 使用CPU，这些型号运行没有问题。此后，我激活了CUDA和CUDnn软件包，使模型能够通过GPU运行。但是，我在执行模型时遇到了这个持续的错误： 为了测试GPU，代码从sentdex youtube频道复制 错误来自model=keras.Sequential（）函数，我无法找出问题所在。 先谢谢你** from tensorflow.keras.datasets import fashion_mnist import ma
from tensorflow.keras.datasets import fashion_mnist
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.layers import Dense, Conv2D, Activation, Flatten,
MaxPooling2D
(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()
x_train = x_train.reshape(-1, 28, 28, 1)
x_test = x_test.reshape(-1, 28, 28, 1)
def build_model():
model = keras.Sequential()
model.add(Conv2D(32, (3, 3), input_shape=x_train.shape[1:]))
model.add(Activation("relu"))
model.add(MaxPooling2D(pool_size=(2,2)))
model.add(Conv2D(32, (3, 3)))
model.add(Activation("relu"))
model.add(MaxPooling2D(pool_size=(2,2)))
model.add(Flatten())
model.add(Dense(10))
model.add(Activation("softmax"))
model.compile(optimizer="adam",
loss="sparse_categorical_crossentropy",
metrics=["accuracy"])
return model
model = build_model()
model.summary()
model.fit(x_train, y_train, batch_size=64, epochs=5, validation_data=
(x_test, y_test))
回溯（最近一次呼叫最后一次）：
文件“C:\Users\inder\Desktop\Fashion\Mnist.py”，第36行，在
模型=构建模型（）
文件“C:\Users\inder\Desktop\Fashion\Mnist.py”，第13行，内置模型
模型=keras.Sequential（）
文件“C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site packages\tensorflow\Python\training\tracking\base.py”，第457行，在方法包装中
结果=方法（自身、*args、**kwargs）
文件“C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site packages\tensorflow\Python\keras\engine\sequential.py”，第116行，在uu init中__
super（functional.functional，self）。uuu init_uuu（#pylint:disable=错误的超级调用
文件“C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site packa
Traceback (most recent call last):
File "C:\Users\inder\Desktop\Fashion_Mnist.py", line 36, in <module>
model = build_model()
File "C:\Users\inder\Desktop\Fashion_Mnist.py", line 13, in build_model
model = keras.Sequential()
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\training\tracking\base.py", line 457, in _method_wrapper
result = method(self, *args, **kwargs)
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\engine\sequential.py", line 116, in __init__
super(functional.Functional, self).__init__( # pylint: disable=bad-super-call
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\training\tracking\base.py", line 457, in _method_wrapper
result = method(self, *args, **kwargs)
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\engine\training.py", line 308, in __init__
self._init_batch_counters()
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\training\tracking\base.py", line 457, in _method_wrapper
result = method(self, *args, **kwargs)
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\engine\training.py", line 317, in _init_batch_counters
self._train_counter = variables.Variable(0, dtype='int64', aggregation=agg)
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\variables.py", line 262, in __call__
return cls._variable_v2_call(*args, **kwargs)
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\variables.py", line 244, in _variable_v2_call
return previous_getter(
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\variables.py", line 237, in <lambda>
previous_getter = lambda **kws: default_variable_creator_v2(None, **kws)
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 2633, in default_variable_creator_v2
return resource_variable_ops.ResourceVariable(
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\variables.py", line 264, in __call__
return super(VariableMetaclass, cls).__call__(*args, **kwargs)
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 1507, in __init__
self._init_from_args(
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 1661, in _init_from_args
handle = eager_safe_variable_handle(
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 242, in eager_safe_variable_handle
return _variable_handle_from_shape_and_dtype(
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 174, in _variable_handle_from_shape_and_dtype
gen_logging_ops._assert( # pylint: disable=protected-access
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\gen_logging_ops.py", line 49, in _assert
_ops.raise_from_not_ok_status(e, name)
File "C:\Users\inder\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\framework\ops.py", line 6843, in raise_from_not_ok_status
six.raise_from(core._status_to_exception(e.code, message), None)
File "<string>", line 3, in raise_from
tensorflow.python.framework.errors_impl.InvalidArgumentError: assertion failed: [0] [Op:Assert] name: EagerVariableNameReuse
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