Python Own dataset ValueError:Tensor转换为dtype float32的Tensor请求了dtype字符串

我正在尝试使用我自己的数据集来训练一个GAN网络。我在以.jpg格式加载自己的数据集时遇到问题。我有可用的jpg数据集，我看不出工作数据集和不工作数据集之间jpg编码的区别

这些照片使用windows机器转换，并重命名为001.jpg 002.jpg等。为了进行培训，我正在使用linux机器

我正在使用的python程序使用以下代码加载图像并将其转换为张量：

def _image_batch(image_paths,
                 batch_size,
                 load_size=286,
                 crop_size=256,
                 channels=3,
                 prefetch_batch=2,
                 drop_remainder=True,
                 num_threads=16,
                 shuffle=True,
                 buffer_size=4096,
                 repeat=-1):
    def _parse_func(path):
        img = tf.read_file(path)
        img = tf.image.decode_jpeg(img, channels=channels)
        img = tf.image.random_flip_left_right(img)
        img = tf.image.resize_images(img, [load_size, load_size])
        img = (img - tf.reduce_min(img)) / (tf.reduce_max(img) - tf.reduce_min(img))
        img = tf.random_crop(img, [crop_size, crop_size, channels])
        img = img * 2 - 1
        return img

完全错误是：

Traceback (most recent call last):
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 510, in _apply_op_helper
    preferred_dtype=default_dtype)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1040, in internal_convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 883, in _TensorTensorConversionFunction
    (dtype.name, t.dtype.name, str(t)))
ValueError: Tensor conversion requested dtype string for Tensor with dtype float32: 'Tensor("arg0:0", shape=(), dtype=float32)'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "train.py", line 112, in <module>
    a_test_pool = data.ImageData(sess, a_test_img_paths, batch_size, load_size=load_size, crop_size=crop_size)
  File "/mnt/storage/scratch/ag17634/CycleGAN-Tensorflow-Pytorch/data.py", line 35, in __init__
    repeat)
  File "/mnt/storage/scratch/ag17634/CycleGAN-Tensorflow-Pytorch/data.py", line 68, in _image_batch
    dataset = dataset.map(_parse_func, num_parallel_calls=num_threads)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 840, in map
    return ParallelMapDataset(self, map_func, num_parallel_calls)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 1857, in __init__
    super(ParallelMapDataset, self).__init__(input_dataset, map_func)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 1826, in __init__
    self._map_func.add_to_graph(ops.get_default_graph())
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 488, in add_to_graph
    self._create_definition_if_needed()
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 321, in _create_definition_if_needed
    self._create_definition_if_needed_impl()
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 338, in _create_definition_if_needed_impl
    outputs = self._func(*inputs)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 1791, in tf_map_func
    ret = map_func(nested_args)
  File "/mnt/storage/scratch/ag17634/CycleGAN-Tensorflow-Pytorch/data.py", line 57, in _parse_func
    img = tf.read_file(path)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/ops/gen_io_ops.py", line 527, in read_file
    "ReadFile", filename=filename, name=name)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 533, in _apply_op_helper
    (prefix, dtypes.as_dtype(input_arg.type).name))
TypeError: Input 'filename' of 'ReadFile' Op has type float32 that does not match expected type of string.

回溯（最近一次呼叫最后一次）：
文件“/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/framework/op_def_library.py”，第510行，在“应用”和“操作”助手中
首选类型（默认类型）
文件“/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/framework/ops.py”，第1040行，内部格式为转换为张量
ret=conversion\u func（值，dtype=dtype，name=name，as\u ref=as\u ref）
文件“/mnt/storage/software/languages/anaconda/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/framework/ops.py”，第883行，位于_tensortensortensortransitionfunction函数中
（dtype.name，t.dtype.name，str（t）））
ValueError:Tensor转换为dtype float32的Tensor请求了dtype字符串：“Tensor（“arg0:0”，shape=（），dtype=float32）”
在处理上述异常期间，发生了另一个异常：
回溯（最近一次呼叫最后一次）：
文件“train.py”，第112行，在
a\u测试\u池=数据。图像数据（sess、a\u测试\u图像\u路径、批次大小、加载大小=加载大小、裁剪大小=裁剪大小）
文件“/mnt/storage/scratch/ag17634/CycleGAN Tensorflow Pytorch/data.py”，第35行，在__
重复）
文件“/mnt/storage/scratch/ag17634/CycleGAN Tensorflow Pytorch/data.py”，第68行，在批处理中
dataset=dataset.map（\u parse\u func，num\u parallel\u calls=num\u threads）
文件“/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/data/ops/dataset_ops.py”，地图第840行
返回ParallelMapDataset（self、map\u func、num\u parallel\u调用）
文件“/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/data/ops/dataset_ops.py”，第1857行，在__
超级（ParallelMapDataset，self）。\uuuuu init\uuuuuuuuuuuuu（输入数据集，映射函数）
文件“/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/data/ops/dataset_ops.py”，第1826行，在__
self.\u map\u func.add\u to\u graph（ops.get\u default\u graph（））
文件“/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/framework/function.py”，第488行，添加到图中
self.\u创建\u定义\u如果需要（）
文件“/mnt/storage/software/languages/anaconda/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/framework/function.py”，第321行，在“创建定义”中，如果需要
self.\u创建\u定义\u如果需要\u impl（）
文件“/mnt/storage/software/languages/anaconda/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/framework/function.py”，第338行，在“创建定义”中（如果需要）
输出=自身功能（*输入）
文件“/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/data/ops/dataset_ops.py”，第1791行，在tf_map_func中
ret=映射函数（嵌套参数）
文件“/mnt/storage/scratch/ag17634/CycleGAN Tensorflow Pytorch/data.py”，第57行，在解析函数中
img=tf.read\u文件（路径）
文件“/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/ops/gen_io_ops.py”，第527行，在read_文件中
“ReadFile”，文件名=文件名，名称=名称）
文件“/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site packages/tensorflow/python/framework/op_def_library.py”，第533行，在“应用”和“操作”助手中
（前缀，dtypes.as\u dtype（输入参数类型）.name））
TypeError:“ReadFile”Op的输入“filename”的类型float32与预期的字符串类型不匹配。

这听起来像是一个转换问题。 我想你可能得打个电话

str（输入）

---

在作为文件名传递的输入上

我跟你犯了同样的错误

我解决它：正确更改路径名

我想在你的情况下，你应该在代码中检查你的“路径”名称

img = tf.read_file(path)