在Mac OS上使用Tensorflow版本1.15.2在Jupiter中执行python项目时，出现以下错误消息。
ValueError：尝试将“输入”转换为张量，但失败。错误：不支持任何值。
ValueError Traceback (most recent call last)
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
527 as_ref=input_arg.is_ref,
--> 528 preferred_dtype=default_dtype)
529 except TypeError as err:
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx, accepted_result_types)
1296 if ret is None:
-> 1297 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
1298
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in _constant_tensor_conversion_function(v, dtype, name, as_ref)
285 _ = as_ref
--> 286 return constant(v, dtype=dtype, name=name)
287
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in constant(value, dtype, shape, name)
226 return _constant_impl(value, dtype, shape, name, verify_shape=False,
--> 227 allow_broadcast=True)
228
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in _constant_impl(value, dtype, shape, name, verify_shape, allow_broadcast)
264 value, dtype=dtype, shape=shape, verify_shape=verify_shape,
--> 265 allow_broadcast=allow_broadcast))
266 dtype_value = attr_value_pb2.AttrValue(type=tensor_value.tensor.dtype)
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape, allow_broadcast)
436 if values is None:
--> 437 raise ValueError("None values not supported.")
438 # if dtype is provided, forces numpy array to be the type
ValueError: None values not supported.
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
541 observed = ops.internal_convert_to_tensor(
--> 542 values, as_ref=input_arg.is_ref).dtype.name
543 except ValueError as err:
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx, accepted_result_types)
1296 if ret is None:
-> 1297 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
1298
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in _constant_tensor_conversion_function(v, dtype, name, as_ref)
285 _ = as_ref
--> 286 return constant(v, dtype=dtype, name=name)
287
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in constant(value, dtype, shape, name)
226 return _constant_impl(value, dtype, shape, name, verify_shape=False,
--> 227 allow_broadcast=True)
228
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in _constant_impl(value, dtype, shape, name, verify_shape, allow_broadcast)
264 value, dtype=dtype, shape=shape, verify_shape=verify_shape,
--> 265 allow_broadcast=allow_broadcast))
266 dtype_value = attr_value_pb2.AttrValue(type=tensor_value.tensor.dtype)
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape, allow_broadcast)
436 if values is None:
--> 437 raise ValueError("None values not supported.")
438 # if dtype is provided, forces numpy array to be the type
ValueError: None values not supported.
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
<ipython-input-2-d7aae24cec46> in <module>
24
25 if __name__ == "__main__":
---> 26 main()
<ipython-input-2-d7aae24cec46> in main()
11 mkdir(config.ckpt_dir)
12
---> 13 reg = DIRNet(sess, config, "DIRNet", is_train=True)
14 dh = MNISTDataHandler("MNIST_data", is_train=True)
15
~/Documents/DIRNet-tensorflow 4.5.1/models.py in __init__(self, sess, config, name, is_train)
63
64 if self.is_train :
---> 65 self.loss = ncc(self.y, self.z)
66 #self.loss = mse(self.y, self.z)
67
~/Documents/DIRNet-tensorflow 4.5.1/ops.py in ncc(x, y)
33 def ncc(x, y):
34 mean_x = tf.reduce_mean(x, [1,2,3], keep_dims=True)
---> 35 mean_y = tf.reduce_mean(y, [1,2,3], keep_dims=True)
36 mean_x2 = tf.reduce_mean(tf.square(x), [1,2,3], keep_dims=True)
37 mean_y2 = tf.reduce_mean(tf.square(y), [1,2,3], keep_dims=True)
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/math_ops.py in reduce_mean_v1(input_tensor, axis, keepdims, name, reduction_indices, keep_dims)
1810 keepdims = deprecation.deprecated_argument_lookup("keepdims", keepdims,
1811 "keep_dims", keep_dims)
-> 1812 return reduce_mean(input_tensor, axis, keepdims, name)
1813
1814
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/util/dispatch.py in wrapper(*args, **kwargs)
178 """Call target, and fall back on dispatchers if there is a TypeError."""
179 try:
--> 180 return target(*args, **kwargs)
181 except (TypeError, ValueError):
182 # Note: convert_to_eager_tensor currently raises a ValueError, not a
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/math_ops.py in reduce_mean(input_tensor, axis, keepdims, name)
1868 gen_math_ops.mean(
1869 input_tensor, _ReductionDims(input_tensor, axis), keepdims,
-> 1870 name=name))
1871
1872
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/gen_math_ops.py in mean(input, axis, keep_dims, name)
6389 _, _, _op = _op_def_lib._apply_op_helper(
6390 "Mean", input=input, reduction_indices=axis, keep_dims=keep_dims,
-> 6391 name=name)
6392 _result = _op.outputs[:]
6393 _inputs_flat = _op.inputs
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
544 raise ValueError(
545 "Tried to convert '%s' to a tensor and failed. Error: %s" %
--> 546 (input_name, err))
547 prefix = ("Input '%s' of '%s' Op has type %s that does not match" %
548 (input_name, op_type_name, observed))