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【报错：ValueError: None values not supported.】在使用 cnnhistory=model.fit(x_traincnn, y_train, batch_size=16, epochs=1000, validation_data=(x_testcnn, y_test)) 时出现如下错误： /usr/local/lib/python3.6/dist-packages/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs) 1211 else: 1212 fit_inputs = x + y + sample_weights-> 1213 self._make_train_function() 1214 fit_function = self.train_function 1215 /usr/local/lib/python3.6/dist-packages/keras/engine/training.py in _make_train_function(self) 314 training_updates = self.optimizer.get_updates( 315 params=self._collected_trainable_weights,--> 316 loss=self.total_loss) 317 updates = self.updates + training_updates 318 /usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs) 89 warnings.warn('Update your `' + object_name + '` call to the ' + 90 'Keras 2 API: ' + signature, stacklevel=2)---> 91 return func(*args, **kwargs) 92 wrapper._original_function = func 93 return wrapper/usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py in symbolic_fn_wrapper(*args, **kwargs) 73 if _SYMBOLIC_SCOPE.value: 74 with get_graph().as_default():---> 75 return func(*args, **kwargs) 76 else: 77 return func(*args, **kwargs)/usr/local/lib/python3.6/dist-packages/keras/optimizers.py in get_updates(self, loss, params) 274 new_a = self.rho * a + (1. - self.rho) * K.square(g) 275 self.updates.append(K.update(a, new_a))--> 276 new_p = p - lr * g / (K.sqrt(new_a) + self.epsilon) 277 278 # Apply constraints./usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py in binary_op_wrapper(x, y) 986 try: 987 y = ops.convert_to_tensor_v2(--> 988 y, dtype_hint=x.dtype.base_dtype, name="y") 989 except TypeError: 990 # If the RHS is not a tensor, it might be a tensor aware object/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in convert_to_tensor_v2(value, dtype, dtype_hint, name) 1281 name=name, 1282 preferred_dtype=dtype_hint,-> 1283 as_ref=False) 1284 1285 /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, dtype_hint, ctx, accepted_result_types) 1339 1340 if ret is None:-> 1341 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) 1342 1343 if ret is NotImplemented:/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py in _constant_tensor_conversion_function(v, dtype, name, as_ref) 319 as_ref=False): 320 _ = as_ref--> 321 return constant(v, dtype=dtype, name=name) 322 323 /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py in constant(value, dtype, shape, name) 260 """ 261 return _constant_impl(value, dtype, shape, name, verify_shape=False,--> 262 allow_broadcast=True) 263 264 /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/constant_op.py in _constant_impl(value, dtype, shape, name, verify_shape, allow_broadcast) 298 tensor_util.make_tensor_proto( 299 value, dtype=dtype, shape=shape, verify_shape=verify_shape,--> 300 allow_broadcast=allow_broadcast)) 301 dtype_value = attr_value_pb2.AttrValue(type=tensor_value.tensor.dtype) 302 const_tensor = g._create_op_internal( # pylint: disable=protected-access/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape, allow_broadcast) 437 else: 438 if values is None:--> 439 raise ValueError("None values not supported.") 440 # if dtype is provided, forces numpy array to be the type 441 # provided if possible.ValueError: None values not supported. 大佬们能不能来解答一下呢！！！

【小白求助】tensorflow2.0使用ResNet50预训练遇到的问题前几天尝试使用ResNet50进行预训练训练自己的数据集，用到了keras.applications.resnet.ResNet50(include_top=False, weights='imagenet', input_tensor=None, input_shape=None, pooling=None, classes=6) 最开始是程序需要从网站上下载一个.h5文件，但是下载太慢，根本下不下来。然后我就把网上找到该.h5文件的资源，下载到本地，放在了.keras\.models 文件夹下，但是此时程序显示A local file was found, but it seems to be incomplete or outdated because the auto file hash does not match the original value of 4d473c1dd8becc155b73f8504c6f6626 so we will re-download，又开始重新下载了。。。。有没有大佬救救孩子，孩子太惨了

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