Issue with file reading when using TPU enabled colab machine
@arnava13,
Could you please try loading the file from local file when using TPU - read them as a normal python file.read() not with tf.io.

Also please have a look at this issue which is similar https://stackoverflow.com/questions/62870656/file-system-scheme-local-not-implemented-in-google-colab-tpu  

https://github.com/tensorflow/models/issues/8265#issuecomment-610535054

Thank you! Thank you. Reverting to numpy I/O. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/64117">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/64117">No</a>

### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

2.15.0

### Custom code

Yes

### OS platform and distribution

Google Colab 

### Mobile device

_No response_

### Python version

Python 3.10.12

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

I'm encountering an UnimplementedError related to the file system scheme '[local]' not being implemented when attempting to read files from the local filesystem in a Google Colab environment while using TPUs. The error occurs when trying to execute tf.io.read_file(file_path) within a data generator class, even when explicitly setting tf.device('/cpu:0') around the file reading operation.

This issue arises despite attempts to ensure file operations are directed to execute on the CPU within a TPU environment. The expected behavior is for TensorFlow to successfully read the local file when specified to do so on the CPU, even in a TPU context, without encountering a file system scheme error.

Full repository: https://github.com/arnava13/SeniorHonoursProject
(Training run in training_colab.ipynb on a colab machine)

### Standalone code to reproduce the issue

```shell
import tensorflow as tf

class DataGenerator(tf.compat.v2.keras.utils.Sequence):
    def __init__(self, data_root, norm_data_name):
        self.data_root = data_root
        self.norm_data_path = tf.io.gfile.join(self.data_root, norm_data_name)
        
        # Reading and processing the file
        self.all_ks = self.read_file(self.norm_data_path, column_indices=column_indices, dtype=dtype)
        self.all_ks = tf.cast(self.all_ks, dtype=tf.float32)
        self.original_k_len = tf.cast(tf.size(self.all_ks).numpy(), tf.int32)
    
    @tf.function
    def read_file(self, file_path, *, column_indices=None, dtype=tf.float32):
        with tf.device('/cpu:0'):
            file_content = tf.io.read_file(file_path)

        # Process file content
        file_content = tf.strings.regex_replace(file_content, "\r\n", "\n")
        file_content = tf.strings.regex_replace(file_content, "\r", "\n")
        lines = tf.strings.split([file_content], '\n').values
        lines = tf.cond(tf.equal(lines[-1], ""), lambda: lines[:-1], lambda: lines)

        def extract_columns(line):
            # Normalize spaces
            line = tf.strings.regex_replace(line, "\s+", " ")
            line = tf.strings.strip(line)  # Strip whitespace
            columns = tf.strings.split([line], ' ').values
            if column_indices is not None:
                selected_columns = tf.gather(columns, column_indices)
            else:
                selected_columns = columns
            return tf.strings.to_number(selected_columns, out_type=dtype)

        columns_values = tf.map_fn(extract_columns, lines, fn_output_signature=dtype)
        if isinstance(columns_values, tf.RaggedTensor):
            columns_values = columns_values.to_tensor()
        return columns_values


tpu_resolver = tf.distribute.cluster_resolver.TPUClusterResolver()
tf.config.experimental_connect_to_cluster(tpu_resolver)
tf.tpu.experimental.initialize_tpu_system(tpu_resolver) 
strategy = tf.distribute.TPUStrategy(tpu_resolver)
FLAGS.TPU = True
('/data)
   

if FLAGS.TPU:
    with tf.device('/cpu:0'):
        training_generator = DataGenerator('/data', 'planck.txt')
```


### Relevant log output

```shell
err: File "/content/SeniorHonoursProject/BaCoN-II/data_generator.py", line 824, in create_generators
err: training_generator = DataGenerator(partition['train'], labels, labels_dict, data_root = FLAGS.DIR, save_indexes=False, seed = seed, strategy=strategy, **params)
err: File "/content/SeniorHonoursProject/BaCoN-II/data_generator.py", line 170, in __init__
err: self.original_k_len = tf.cast(tf.size(self.all_ks).numpy(), tf.int32)
err: File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler
err: raise e.with_traceback(filtered_tb) from None
err: File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/ops/array_ops.py", line 861, in size_internal
err: num_elements = np.prod(input._shape_tuple(), dtype=np_out_type)  # pylint: disable=protected-access
err: tensorflow.python.framework.errors_impl.UnimplementedError: {{function_node __inference_read_file_213}} File system scheme '[local]' not implemented (file: 'data/ds_ee2_train_1k_equal_examples_rands/planck_ee2.txt')
err: [[{{node ReadFile}}]]
err: Exception ignored in atexit callback: <function async_wait at 0x7de5be890670>
err: Traceback (most recent call last):
err: File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/eager/context.py", line 2833, in async_wait
err: context().sync_executors()
err: File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/eager/context.py", line 749, in sync_executors
err: pywrap_tfe.TFE_ContextSyncExecutors(self._context_handle)
err: tensorflow.python.framework.errors_impl.UnimplementedError: {{function_node __inference_read_file_213}} File system scheme '[local]' not implemented (file: 'data/ds_ee2_train_1k_equal_examples_rands/planck_ee2.txt')
err: [[{{node ReadFile}}]]
```
