Python tensorflow ValueError:仅使用逻辑调用'sparse\u softmax\u cross\u entropy\u`

是基于旧版本的TensorFlow编写的。 我正在试着运行它。然而，由于Tensorflow版本，它给出了错误。我得到以下错误

据我所知，我不可能安装旧版本的Opencv

我该如何解决这个问题

/home/user/PycharmProjects/untitled/venv/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:458: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/user/PycharmProjects/untitled/venv/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:459: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/user/PycharmProjects/untitled/venv/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:460: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/user/PycharmProjects/untitled/venv/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:461: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/user/PycharmProjects/untitled/venv/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:462: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/user/PycharmProjects/untitled/venv/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:465: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
Extracting MNIST_data/train-images-idx3-ubyte.gz
Extracting MNIST_data/train-labels-idx1-ubyte.gz
Extracting MNIST_data/t10k-images-idx3-ubyte.gz
Extracting MNIST_data/t10k-labels-idx1-ubyte.gz
Traceback (most recent call last):
  File "/home/user/Videos/Chapter-three/2 - MNIST Logistic Regression L2 Regularization.py", line 63, in <module>
    labels, loss_op = loss(logits)
  File "/home/user/Videos/Chapter-three/2 - MNIST Logistic Regression L2 Regularization.py", line 38, in loss
    logits, tf.argmax(batch_labels, dimension=1), name='xentropy')
  File "/home/user/PycharmProjects/untitled/venv/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 1661, in sparse_softmax_cross_entropy_with_logits
    labels, logits)
  File "/home/user/PycharmProjects/untitled/venv/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 1510, in _ensure_xent_args
    "named arguments (labels=..., logits=..., ...)" % name)
ValueError: Only call `sparse_softmax_cross_entropy_with_logits` with named arguments (labels=..., logits=..., ...)

Process finished with exit code 1

/home/user/PycharmProjects/untitled/venv/lib/python3.6/site packages/tensorflow/python/framework/dtypes.py:458:FutureWarning:Passing（type，1）或'1type'作为type的同义词不推荐使用；在numpy的未来版本中，它将被理解为（type，（1，）/“（1，）type”。
_np_qint8=np.dtype（[（“qint8”，np.int8，1）]）
/home/user/PycharmProjects/untitled/venv/lib/python3.6/site packages/tensorflow/python/framework/dtypes.py:459:FutureWarning:Passing（type，1）或“1type”作为type的同义词不推荐使用；在numpy的未来版本中，它将被理解为（type，（1，）/“（1，）type”。
_np_quint8=np.dtype（[（“quint8”，np.uint8，1）]）
/home/user/PycharmProjects/untitled/venv/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:460:FutureWarning:Passing（type，1）或'1type'作为type的同义词不推荐使用；在numpy的未来版本中，它将被理解为（type，（1，）/“（1，）type”。
_np_qint16=np.dtype（[（“qint16”，np.int16，1）]）
/home/user/PycharmProjects/untitled/venv/lib/python3.6/site packages/tensorflow/python/framework/dtypes.py:461:FutureWarning:Passing（type，1）或'1type'作为type的同义词不推荐使用；在numpy的未来版本中，它将被理解为（type，（1，）/“（1，）type”。
_np_quint16=np.dtype（[（“quint16”，np.uint16，1）]）
/home/user/PycharmProjects/untitled/venv/lib/python3.6/site packages/tensorflow/python/framework/dtypes.py:462:FutureWarning:Passing（type，1）或'1type'作为type的同义词不推荐使用；在numpy的未来版本中，它将被理解为（type，（1，）/“（1，）type”。
_np_qint32=np.dtype（[（“qint32”，np.int32，1）]）
/home/user/PycharmProjects/untitled/venv/lib/python3.6/site packages/tensorflow/python/framework/dtypes.py:465:FutureWarning:Passing（type，1）或'1type'作为type的同义词不推荐使用；在numpy的未来版本中，它将被理解为（type，（1，）/“（1，）type”。
np_resource=np.dtype（[（“resource”，np.ubyte，1）]）
提取MNIST_数据/train-images-idx3-ubyte.gz
提取MNIST_数据/train-labels-idx1-ubyte.gz
提取MNIST_数据/t10k-images-idx3-ubyte.gz
提取MNIST_数据/t10k-labels-idx1-ubyte.gz
回溯（最近一次呼叫最后一次）：
文件“/home/user/Videos/Chapter three/2-MNIST Logistic回归L2 regulation.py”，第63行，在
标签，损失\u op=损失（logits）
文件“/home/user/Videos/Chapter three/2-MNIST Logistic回归L2 regulation.py”，第38行，丢失
logits，tf.argmax（批次标签，维度=1），name='xentropy'）
文件“/home/user/PycharmProjects/untitled/venv/lib/python3.6/site packages/tensorflow/python/ops/nn_ops.py”，第1661行，以稀疏形式显示，带有登录名
标签、登录）
文件“/home/user/PycharmProjects/untitled/venv/lib/python3.6/site packages/tensorflow/python/ops/nn_ops.py”，第1510行，在参数中
命名参数（标签=…，逻辑项=…，…）%name）
ValueError:仅调用带有命名参数（labels=…，logits=…，…）的'sparse\u softmax\u cross\u entropy\u with_logits'）
进程已完成，退出代码为1

将

交叉熵=tf.nn.sparse\u-softmax\u-cross\u-entropy\u替换为logits（logits，tf.argmax（批次标签，维度=1），name='xentropy'）

替换为

交叉熵=tf.nn.sparse\u-softmax\u-cross\u-entropy\u-logits（logits=logits，标签=tf.argmax（批次标签，维度=1），name='xentropy'）

这是因为该方法希望传递的参数命名