TypeError Traceback (most recent call last) [/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/util/structure.py](https://localhost:8080/#) in normalize_element(element, element_signature) 104 if spec is None: --> 105 spec = type_spec_from_value(t, use_fallback=False) 106 except TypeError: [/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/util/structure.py](https://localhost:8080/#) in type_spec_from_value(element, use_fallback) 513 --> 514 raise TypeError("Could not build a `TypeSpec` for {} with type {}".format( 515 element, TypeError: Could not build a `TypeSpec` for ['gs://tfds-data/datasets/mnist/3.0.1/mnist-test.tfrecord-00000-of-00001'] with type list During handling of the above exception, another exception occurred: FailedPreconditionError Traceback (most recent call last) [<ipython-input-16-6a5f245a8c89>](https://localhost:8080/#) in <cell line: 1>() ----> 1 mnist_data, info = tfds.load(name="mnist", batch_size=-1, with_info=True, try_gcs=True) 2 mnist_data = tfds.as_numpy(mnist_data) 3 data_train, data_test = mnist_data['train'], mnist_data['test'] [/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/logging/__init__.py](https://localhost:8080/#) in __call__(self, function, instance, args, kwargs) 174 metadata = self._start_call() 175 try: --> 176 return function(*args, **kwargs) 177 except Exception: 178 metadata.mark_error() [/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/load.py](https://localhost:8080/#) 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) 671 as_dataset_kwargs.setdefault('read_config', read_config) 672 --> 673 ds = dbuilder.as_dataset(**as_dataset_kwargs) 674 if with_info: 675 return ds, dbuilder.info [/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/logging/__init__.py](https://localhost:8080/#) in __call__(self, function, instance, args, kwargs) 174 metadata = self._start_call() 175 try: --> 176 return function(*args, **kwargs) 177 except Exception: 178 metadata.mark_error() [/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/dataset_builder.py](https://localhost:8080/#) in as_dataset(self, split, batch_size, shuffle_files, decoders, read_config, as_supervised) 1024 as_supervised=as_supervised, 1025 ) -> 1026 all_ds = tree.map_structure(build_single_dataset, split) 1027 return all_ds 1028 [/usr/local/lib/python3.10/dist-packages/tree/__init__.py](https://localhost:8080/#) in map_structure(func, *structures, **kwargs) 433 assert_same_structure(structures[0], other, check_types=check_types) 434 return unflatten_as(structures[0], --> 435 [func(*args) for args in zip(*map(flatten, structures))]) 436 437 [/usr/local/lib/python3.10/dist-packages/tree/__init__.py](https://localhost:8080/#) in <listcomp>(.0) 433 assert_same_structure(structures[0], other, check_types=check_types) 434 return unflatten_as(structures[0], --> 435 [func(*args) for args in zip(*map(flatten, structures))]) 436 437 [/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/dataset_builder.py](https://localhost:8080/#) in _build_single_dataset(self, split, batch_size, shuffle_files, decoders, read_config, as_supervised) 1042 1043 # Build base dataset -> 1044 ds = self._as_dataset( 1045 split=split, 1046 shuffle_files=shuffle_files, [/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/dataset_builder.py](https://localhost:8080/#) in _as_dataset(self, split, decoders, read_config, shuffle_files) 1496 ) 1497 decode_fn = functools.partial(features.decode_example, decoders=decoders) -> 1498 return reader.read( 1499 instructions=split, 1500 split_infos=self.info.splits.values(), [/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/reader.py](https://localhost:8080/#) in read(self, instructions, split_infos, read_config, shuffle_files, disable_shuffling, decode_fn) 428 ) 429 --> 430 return tree.map_structure(_read_instruction_to_ds, instructions) 431 432 def read_files( [/usr/local/lib/python3.10/dist-packages/tree/__init__.py](https://localhost:8080/#) in map_structure(func, *structures, **kwargs) 433 assert_same_structure(structures[0], other, check_types=check_types) 434 return unflatten_as(structures[0], --> 435 [func(*args) for args in zip(*map(flatten, structures))]) 436 437 [/usr/local/lib/python3.10/dist-packages/tree/__init__.py](https://localhost:8080/#) in <listcomp>(.0) 433 assert_same_structure(structures[0], other, check_types=check_types) 434 return unflatten_as(structures[0], --> 435 [func(*args) for args in zip(*map(flatten, structures))]) 436 437 [/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/reader.py](https://localhost:8080/#) in _read_instruction_to_ds(instruction) 420 def _read_instruction_to_ds(instruction): 421 file_instructions = splits_dict[instruction].file_instructions --> 422 return self.read_files( 423 file_instructions, 424 read_config=read_config, [/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/reader.py](https://localhost:8080/#) in read_files(self, file_instructions, read_config, shuffle_files, disable_shuffling, decode_fn) 460 461 # Read serialized example (eventually with `tfds_id`) --> 462 ds = _read_files( 463 file_instructions=file_instructions, 464 read_config=read_config, [/usr/local/lib/python3.10/dist-packages/tensorflow_datasets/core/reader.py](https://localhost:8080/#) in _read_files(file_instructions, read_config, shuffle_files, disable_shuffling, file_format) 265 ) 266 --> 267 instruction_ds = tf.data.Dataset.from_tensor_slices(tensor_inputs) 268 269 # On distributed environments, we can shard per-file if a [/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/ops/dataset_ops.py](https://localhost:8080/#) in from_tensor_slices(tensors, name) 823 # pylint: disable=g-import-not-at-top,protected-access 824 from tensorflow.python.data.ops import from_tensor_slices_op --> 825 return from_tensor_slices_op._from_tensor_slices(tensors, name) 826 # pylint: enable=g-import-not-at-top,protected-access 827 [/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/ops/from_tensor_slices_op.py](https://localhost:8080/#) in _from_tensor_slices(tensors, name) 23 24 def _from_tensor_slices(tensors, name=None): ---> 25 return _TensorSliceDataset(tensors, name=name) 26 27 [/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/ops/from_tensor_slices_op.py](https://localhost:8080/#) in __init__(self, element, is_files, name) 31 def __init__(self, element, is_files=False, name=None): 32 """See `Dataset.from_tensor_slices` for details.""" ---> 33 element = structure.normalize_element(element) 34 batched_spec = structure.type_spec_from_value(element) 35 self._tensors = structure.to_batched_tensor_list(batched_spec, element) [/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/util/structure.py](https://localhost:8080/#) in normalize_element(element, element_signature) 108 # the value. As a fallback try converting the value to a tensor. 109 normalized_components.append( --> 110 ops.convert_to_tensor(t, name="component_%d" % i)) 111 else: 112 # To avoid a circular dependency between dataset_ops and structure, [/usr/local/lib/python3.10/dist-packages/tensorflow/python/profiler/trace.py](https://localhost:8080/#) in wrapped(*args, **kwargs) 181 with Trace(trace_name, **trace_kwargs): 182 return func(*args, **kwargs) --> 183 return func(*args, **kwargs) 184 185 return wrapped [/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/ops.py](https://localhost:8080/#) in convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, dtype_hint, ctx, accepted_result_types) 694 # TODO(b/142518781): Fix all call-sites and remove redundant arg 695 preferred_dtype = preferred_dtype or dtype_hint --> 696 return tensor_conversion_registry.convert( 697 value, dtype, name, as_ref, preferred_dtype, accepted_result_types 698 ) [/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/tensor_conversion_registry.py](https://localhost:8080/#) in convert(value, dtype, name, as_ref, preferred_dtype, accepted_result_types) 232 233 if ret is None: --> 234 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) 235 236 if ret is NotImplemented: [/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/constant_op.py](https://localhost:8080/#) in _constant_tensor_conversion_function(v, dtype, name, as_ref) 333 as_ref=False): 334 _ = as_ref --> 335 return constant(v, dtype=dtype, name=name) 336 337 # Register the conversion function for the "unconvertible" types [/usr/local/lib/python3.10/dist-packages/tensorflow/python/ops/weak_tensor_ops.py](https://localhost:8080/#) in wrapper(*args, **kwargs) 140 def wrapper(*args, **kwargs): 141 if not ops.is_auto_dtype_conversion_enabled(): --> 142 return op(*args, **kwargs) 143 bound_arguments = signature.bind(*args, **kwargs) 144 bound_arguments.apply_defaults() [/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/constant_op.py](https://localhost:8080/#) in constant(value, dtype, shape, name) 269 ValueError: if called on a symbolic tensor. 270 """ --> 271 return _constant_impl(value, dtype, shape, name, verify_shape=False, 272 allow_broadcast=True) 273 [/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/constant_op.py](https://localhost:8080/#) in _constant_impl(value, dtype, shape, name, verify_shape, allow_broadcast) 282 with trace.Trace("tf.constant"): 283 return _constant_eager_impl(ctx, value, dtype, shape, verify_shape) --> 284 return _constant_eager_impl(ctx, value, dtype, shape, verify_shape) 285 286 const_tensor = ops._create_graph_constant( # pylint: disable=protected-access [/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/constant_op.py](https://localhost:8080/#) in _constant_eager_impl(ctx, value, dtype, shape, verify_shape) 294 ) -> ops._EagerTensorBase: 295 """Creates a constant on the current device.""" --> 296 t = convert_to_eager_tensor(value, ctx, dtype) 297 if shape is None: 298 return t [/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/constant_op.py](https://localhost:8080/#) in convert_to_eager_tensor(value, ctx, dtype) 100 except AttributeError: 101 dtype = dtypes.as_dtype(dtype).as_datatype_enum --> 102 ctx.ensure_initialized() 103 return ops.EagerTensor(value, ctx.device_name, dtype) 104 [/usr/local/lib/python3.10/dist-packages/tensorflow/python/eager/context.py](https://localhost:8080/#) in ensure_initialized(self) 601 pywrap_tfe.TFE_ContextOptionsSetJitCompileRewrite( 602 opts, self._jit_compile_rewrite) --> 603 context_handle = pywrap_tfe.TFE_NewContext(opts) 604 finally: 605 pywrap_tfe.TFE_DeleteContextOptions(opts) FailedPreconditionError: ioctl failed; [0000:00:06.0 PE0 C2 MC-1 TN0] Failed to set number of simple DMA addresses