Created
April 17, 2020 19:41
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Stacktrace for caltech_birds.py
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AssertionError Traceback (most recent call last) | |
<ipython-input-1-0cac24b5abed> in <module> | |
1 import tensorflow_datasets as tfds | |
2 | |
----> 3 ds, ds_info = tfds.load("caltech_birds2011", with_info=True) | |
4 print(ds_info) | |
~\Desktop\TF_TFDS\datasets\tensorflow_datasets\core\api_utils.py in disallow_positional_args_dec(fn, instance, args, kwargs) | |
51 _check_no_positional(fn, args, ismethod, allowed=allowed) | |
52 _check_required(fn, kwargs) | |
---> 53 return fn(*args, **kwargs) | |
54 | |
55 return disallow_positional_args_dec(wrapped) # pylint: disable=no-value-for-parameter | |
~\Desktop\TF_TFDS\datasets\tensorflow_datasets\core\registered.py in load(name, split, data_dir, batch_size, in_memory, shuffle_files, download, as_supervised, decoders, read_config, with_info, builder_kwargs, download_and_prepare_kwargs, as_dataset_kwargs, try_gcs) | |
307 if download: | |
308 download_and_prepare_kwargs = download_and_prepare_kwargs or {} | |
--> 309 dbuilder.download_and_prepare(**download_and_prepare_kwargs) | |
310 | |
311 if as_dataset_kwargs is None: | |
~\Desktop\TF_TFDS\datasets\tensorflow_datasets\core\api_utils.py in disallow_positional_args_dec(fn, instance, args, kwargs) | |
51 _check_no_positional(fn, args, ismethod, allowed=allowed) | |
52 _check_required(fn, kwargs) | |
---> 53 return fn(*args, **kwargs) | |
54 | |
55 return disallow_positional_args_dec(wrapped) # pylint: disable=no-value-for-parameter | |
~\Desktop\TF_TFDS\datasets\tensorflow_datasets\core\dataset_builder.py in download_and_prepare(self, download_dir, download_config) | |
339 self._download_and_prepare( | |
340 dl_manager=dl_manager, | |
--> 341 download_config=download_config) | |
342 | |
343 # NOTE: If modifying the lines below to put additional information in | |
~\Desktop\TF_TFDS\datasets\tensorflow_datasets\core\dataset_builder.py in _download_and_prepare(self, dl_manager, download_config) | |
1077 super(GeneratorBasedBuilder, self)._download_and_prepare( | |
1078 dl_manager=dl_manager, | |
-> 1079 max_examples_per_split=download_config.max_examples_per_split, | |
1080 ) | |
1081 | |
~\Desktop\TF_TFDS\datasets\tensorflow_datasets\core\dataset_builder.py in _download_and_prepare(self, dl_manager, **prepare_split_kwargs) | |
930 | |
931 # Prepare split will record examples associated to the split | |
--> 932 self._prepare_split(split_generator, **prepare_split_kwargs) | |
933 | |
934 # Update the info object with the splits. | |
~\Desktop\TF_TFDS\datasets\tensorflow_datasets\core\dataset_builder.py in _prepare_split(self, split_generator, max_examples_per_split) | |
1105 example = self.info.features.encode_example(record) | |
1106 writer.write(key, example) | |
-> 1107 shard_lengths, total_size = writer.finalize() | |
1108 split_generator.split_info.shard_lengths.extend(shard_lengths) | |
1109 split_generator.split_info.num_bytes = total_size | |
~\Desktop\TF_TFDS\datasets\tensorflow_datasets\core\tfrecords_writer.py in finalize(self) | |
210 print("Shuffling and writing examples to %s" % self._path) | |
211 shard_specs = _get_shard_specs(self._num_examples, self._shuffler.size, | |
--> 212 self._shuffler.bucket_lengths, self._path) | |
213 # Here we just loop over the examples, and don't use the instructions, just | |
214 # the final number of examples in every shard. Instructions could be used to | |
~\Desktop\TF_TFDS\datasets\tensorflow_datasets\core\tfrecords_writer.py in _get_shard_specs(num_examples, total_size, bucket_lengths, path) | |
87 """ | |
88 num_shards = _get_number_shards(total_size, num_examples) | |
---> 89 shard_boundaries = _get_shard_boundaries(num_examples, num_shards) | |
90 shard_specs = [] | |
91 bucket_indexes = list(range(len(bucket_lengths))) | |
~\Desktop\TF_TFDS\datasets\tensorflow_datasets\core\tfrecords_writer.py in _get_shard_boundaries(num_examples, number_of_shards) | |
106 def _get_shard_boundaries(num_examples, number_of_shards): | |
107 if num_examples == 0: | |
--> 108 raise AssertionError("No examples were yielded.") | |
109 if num_examples < number_of_shards: | |
110 raise AssertionError("num_examples ({}) < number_of_shards ({})".format( | |
AssertionError: No examples were yielded. |
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