【发布时间】：2019-04-16 17:58:05
【问题描述】：
我想将数据提供给基本的 keras 模型。输入具有以下形状和类型。不知道是不是我在模型层设置错了，但是出现如下错误。
我的环境是 Windows 10（64 位）、Python 3.6.7 (Anaconda)、TensorFlow 1.12.0、Keras 2.2.4、PyCharm 2018.3.3。
输入：
x 输入形状：(23714, 160)，y 输入形状：(23714, 7)
In: x
Out:
array([[ 7, 19, 6, ..., 0, 0, 0],
[11, 1, 16, ..., 0, 0, 0],
[ 6, 13, 10, ..., 0, 0, 0],
...,
[ 6, 13, 7, ..., 0, 0, 0],
[11, 13, 9, ..., 10, 0, 0],
[ 9, 13, 9, ..., 0, 0, 0]])
In: y
Out:
array([[0, 1, 0, ..., 0, 0, 0],
[0, 1, 0, ..., 0, 0, 0],
[0, 1, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 1],
[0, 0, 0, ..., 0, 0, 1],
[0, 0, 0, ..., 0, 0, 1]], dtype=int8)
型号：
model = Sequential()
model.add(Dense(64, input_dim=(160, ), activation='relu'))
model.add(Dense(7, activation="softmax"))
model.summary()
model.compile(loss="categorical_crossentropy", optimizer="adam", metrics=["accuracy"])
performance_test = model.evaluate(x_test, y_test, batch_size=100)
print(model.summary())
print('Test Loss and Accuracy ->', performance_test)
错误：
Traceback (most recent call last):
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\eager\execute.py", line 141, in make_shape
shape = tensor_shape.as_shape(v)
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\tensor_shape.py", line 947, in as_shape
return TensorShape(shape)
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\tensor_shape.py", line 542, in __init__
self._dims = [as_dimension(d) for d in dims_iter]
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\tensor_shape.py", line 542, in <listcomp>
self._dims = [as_dimension(d) for d in dims_iter]
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\tensor_shape.py", line 482, in as_dimension
return Dimension(value)
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\tensor_shape.py", line 37, in __init__
self._value = int(value)
TypeError: int() argument must be a string, a bytes-like object or a number, not 'tuple'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 3267, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-2-721312fb06f9>", line 1, in <module>
runfile('C:/Users/terry/Desktop/Project/Test/Test.py', wdir='C:/Users/terry/Desktop/Project/Test')
File "C:\Program Files\JetBrains\PyCharm 2018.3.3\helpers\pydev\_pydev_bundle\pydev_umd.py", line 197, in runfile
pydev_imports.execfile(filename, global_vars, local_vars) # execute the script
File "C:\Program Files\JetBrains\PyCharm 2018.3.3\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "C:/Users/terry/Desktop/Project/Test/Test.py", line 187, in <module>
model.add(Dense(64, input_dim=(160, ), activation='relu'))
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\keras\engine\sequential.py", line 161, in add
name=layer.name + '_input')
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\keras\engine\input_layer.py", line 178, in Input
input_tensor=tensor)
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\keras\engine\input_layer.py", line 87, in __init__
name=self.name)
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\keras\backend\tensorflow_backend.py", line 517, in placeholder
x = tf.placeholder(dtype, shape=shape, name=name)
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\array_ops.py", line 1747, in placeholder
return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name)
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 6250, in placeholder
shape = _execute.make_shape(shape, "shape")
File "C:\Users\terry\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\eager\execute.py", line 143, in make_shape
raise TypeError("Error converting %s to a TensorShape: %s." % (arg_name, e))
TypeError: Error converting shape to a TensorShape: int() argument must be a string, a bytes-like object or a number, not 'tuple'.
我读过有关 keras input_shape、input_dim、tensorflow tensorshape、python tuple、list、numpy ndarray 的信息，但我找不到解决方案。非常感谢您的帮助。
【问题讨论】：
标签： python-3.x tensorflow input keras numpy-ndarray