In [1]: import matplotlib.pyplot as plt
   ...: import numpy as np
   ...: import tensorflow as tf
   ...: 
   ...: import tensorflow_datasets as tfds
   ...: 
   ...: ds = tfds.load('celeb_a', split='train', shuffle_files=True)
   ...: assert isinstance(ds, tf.data.Dataset)
   ...: print(ds)
2021-04-08 21:12:31.178377: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1
2021-04-08 21:12:32.546738: W tensorflow/core/platform/cloud/google_auth_provider.cc:184] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Failed precondition: Error executing an HTTP request: libcurl code 6 meaning 'Couldn't resolve host name', error details: Couldn't resolve host 'metadata'".
Downloading and preparing dataset Unknown size (download: Unknown size, generated: Unknown size, total: Unknown size) to /home/ashvith/tensorflow_datasets/celeb_a/2.0.1...
Dl Size...: 0 MiB [00:02, ? MiB/s]████████████████████████████████████████████████████████████████████████████████████████████████                                    | 3/4 [00:02<00:00,  1.44 url/s]
Dl Completed...:  75%|████████████████████████████████████████████████████████████████████████████████████████████████████████████                                    | 3/4 [00:02<00:00,  1.26 url/s]
---------------------------------------------------------------------------
NonMatchingChecksumError                  Traceback (most recent call last)
<ipython-input-1-a9209b5c03a5> in <module>
      5 import tensorflow_datasets as tfds
      6 
----> 7 ds = tfds.load('celeb_a', split='train', shuffle_files=True)
      8 assert isinstance(ds, tf.data.Dataset)
      9 print(ds)

~/anaconda3/lib/python3.8/site-packages/tensorflow_datasets/core/load.py in load(name, split, data_dir, batch_size, shuffle_files, download, as_supervised, decoders, read_config, with_info, builder_kwargs, download_and_prepare_kwargs, as_dataset_kwargs, try_gcs)
    326   if download:
    327     download_and_prepare_kwargs = download_and_prepare_kwargs or {}
--> 328     dbuilder.download_and_prepare(**download_and_prepare_kwargs)
    329 
    330   if as_dataset_kwargs is None:

~/anaconda3/lib/python3.8/site-packages/tensorflow_datasets/core/dataset_builder.py in download_and_prepare(self, download_dir, download_config)
    442           # Old version of TF are not os.PathLike compatible
    443           with tf_compat.mock_gfile_pathlike():
--> 444             self._download_and_prepare(
    445                 dl_manager=dl_manager,
    446                 download_config=download_config,

~/anaconda3/lib/python3.8/site-packages/tensorflow_datasets/core/dataset_builder.py in _download_and_prepare(self, dl_manager, download_config)
   1145       else:
   1146         optional_pipeline_kwargs = {}
-> 1147       split_generators = self._split_generators(  # pylint: disable=unexpected-keyword-arg
   1148           dl_manager, **optional_pipeline_kwargs
   1149       )

~/anaconda3/lib/python3.8/site-packages/tensorflow_datasets/image/celeba.py in _split_generators(self, dl_manager)
    126 
    127   def _split_generators(self, dl_manager):
--> 128     downloaded_dirs = dl_manager.download({
    129         "img_align_celeba": IMG_ALIGNED_DATA,
    130         "list_eval_partition": EVAL_LIST,

~/anaconda3/lib/python3.8/site-packages/tensorflow_datasets/core/download/download_manager.py in download(self, url_or_urls)
    547     # Add progress bar to follow the download state
    548     with self._downloader.tqdm():
--> 549       return _map_promise(self._download, url_or_urls)
    550 
    551   def iter_archive(

~/anaconda3/lib/python3.8/site-packages/tensorflow_datasets/core/download/download_manager.py in _map_promise(map_fn, all_inputs)
    775   """Map the function into each element and resolve the promise."""
    776   all_promises = tf.nest.map_structure(map_fn, all_inputs)  # Apply the function
--> 777   res = tf.nest.map_structure(lambda p: p.get(), all_promises)  # Wait promises
    778   return res

~/anaconda3/lib/python3.8/site-packages/tensorflow/python/util/nest.py in map_structure(func, *structure, **kwargs)
    657 
    658   return pack_sequence_as(
--> 659       structure[0], [func(*x) for x in entries],
    660       expand_composites=expand_composites)
    661 

~/anaconda3/lib/python3.8/site-packages/tensorflow/python/util/nest.py in <listcomp>(.0)
    657 
    658   return pack_sequence_as(
--> 659       structure[0], [func(*x) for x in entries],
    660       expand_composites=expand_composites)
    661 

~/anaconda3/lib/python3.8/site-packages/tensorflow_datasets/core/download/download_manager.py in <lambda>(p)
    775   """Map the function into each element and resolve the promise."""
    776   all_promises = tf.nest.map_structure(map_fn, all_inputs)  # Apply the function
--> 777   res = tf.nest.map_structure(lambda p: p.get(), all_promises)  # Wait promises
    778   return res

~/anaconda3/lib/python3.8/site-packages/promise/promise.py in get(self, timeout)
    510         target = self._target()
    511         self._wait(timeout or DEFAULT_TIMEOUT)
--> 512         return self._target_settled_value(_raise=True)
    513 
    514     def _target_settled_value(self, _raise=False):

~/anaconda3/lib/python3.8/site-packages/promise/promise.py in _target_settled_value(self, _raise)
    514     def _target_settled_value(self, _raise=False):
    515         # type: (bool) -> Any
--> 516         return self._target()._settled_value(_raise)
    517 
    518     _value = _reason = _target_settled_value

~/anaconda3/lib/python3.8/site-packages/promise/promise.py in _settled_value(self, _raise)
    224             if _raise:
    225                 raise_val = self._fulfillment_handler0
--> 226                 reraise(type(raise_val), raise_val, self._traceback)
    227             return self._fulfillment_handler0
    228 

~/anaconda3/lib/python3.8/site-packages/six.py in reraise(tp, value, tb)
    701             if value.__traceback__ is not tb:
    702                 raise value.with_traceback(tb)
--> 703             raise value
    704         finally:
    705             value = None

~/anaconda3/lib/python3.8/site-packages/promise/promise.py in try_catch(handler, *args, **kwargs)
     85     # type: (Callable, Any, Any) -> Union[Tuple[Any, None], Tuple[None, Tuple[Exception, Optional[TracebackType]]]]
     86     try:
---> 87         return (handler(*args, **kwargs), None)
     88     except Exception as e:
     89         tb = exc_info()[2]

~/anaconda3/lib/python3.8/site-packages/tensorflow_datasets/core/download/download_manager.py in <lambda>(dl_result)
    358 
    359     # Post-process the result
--> 360     return future.then(lambda dl_result: self._register_or_validate_checksums(  # pylint: disable=g-long-lambda
    361         url=url,
    362         path=dl_result.path,

~/anaconda3/lib/python3.8/site-packages/tensorflow_datasets/core/download/download_manager.py in _register_or_validate_checksums(self, path, url, expected_url_info, computed_url_info, checksum_path, url_path)
    414       #   download). This is expected as it might mean the downloaded file
    415       #   was corrupted. Note: The tmp file isn't deleted to allow inspection.
--> 416       _validate_checksums(
    417           url=url,
    418           path=path,

~/anaconda3/lib/python3.8/site-packages/tensorflow_datasets/core/download/download_manager.py in _validate_checksums(url, path, computed_url_info, expected_url_info, force_checksums_validation)
    755         'https://www.tensorflow.org/datasets/overview#fixing_nonmatchingchecksumerror'
    756     )
--> 757     raise NonMatchingChecksumError(msg)
    758 
    759 

NonMatchingChecksumError: Artifact https://drive.google.com/uc?export=download&id=0B7EVK8r0v71pZjFTYXZWM3FlRnM, downloaded to /home/ashvith/tensorflow_datasets/downloads/ucexport_download_id_0B7EVK8r0v71pZjFTYXZWM3FlDDaXUAQO8EGH_a7VqGNLRtW52mva1LzDrb-V723OQN8.tmp.547e948087c644bf954aae797ea3a7f9/uc, has wrong checksum. Expected: UrlInfo(size=1.34 GiB, checksum='46fb89443c578308acf364d7d379fe1b9efb793042c0af734b6112e4fd3a8c74', filename='img_align_celeba.zip'). Got: UrlInfo(size=3.05 KiB, checksum='bcb287b2de2b4acb68642752c393b4b360640119a3dd45f92d25b324c4cba074', filename='uc').To debug, see: https://www.tensorflow.org/datasets/overview#fixing_nonmatchingchecksumerror