Como implantar um modelo de classificação de imagens explicável usando a Vertex Explainable AI avaliações

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PermissionDeniedError Traceback (most recent call last) Cell In[4], line 6 3 VALIDATION_SPLIT = 0.2 5 # Split data files between training and validation ----> 6 filenames = tf.io.gfile.glob(GCS_PATTERN) 7 random.shuffle(filenames) 8 split = int(len(filenames) * VALIDATION_SPLIT) File ~/.local/lib/python3.10/site-packages/tensorflow/python/lib/io/file_io.py:441, in get_matching_files_v2(pattern) 387 r"""Returns a list of files that match the given pattern(s). 388 389 The patterns are defined as strings. Supported patterns are defined (...) 435 errors.NotFoundError: If pattern to be matched is an invalid directory. 436 """ 437 if isinstance(pattern, six.string_types): 438 return [ 439 # Convert the filenames to string from bytes. 440 compat.as_str_any(matching_filename) --> 441 for matching_filename in _pywrap_file_io.GetMatchingFiles( 442 compat.as_bytes(pattern)) 443 ] 444 else: 445 return [ 446 # Convert the filenames to string from bytes. 447 compat.as_str_any(matching_filename) # pylint: disable=g-complex-comprehension (...) 450 compat.as_bytes(single_filename)) 451 ] PermissionDeniedError: Error executing an HTTP request: HTTP response code 403 with body '{ "error": { "code": 403, "message": "768845220057-compute@developer.gserviceaccount.com does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist).", "errors": [ { "message": "768845220057-compute@developer.gserviceaccount.com does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exis' when reading gs://flowers-public/tfrecords-jpeg-192x192-2

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