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https://github.com/GoogleCloudPlatform/training-data-analyst/blob/master/self-paced-labs/tfx/tfx-vertex/vertex_pipelines_simple.ipynb
Running via https://partner.cloudskillsboost.google/course_templates/666
pip dependency resolution seems to have gone off the rails, leading to TF 1.15 being installed, and then the following error:
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) /tmp/ipykernel_12292/1194142330.py in <module> 1 import tensorflow as tf 2 print('TensorFlow version: {}'.format(tf.__version__)) ----> 3 from tfx import v1 as tfx 4 print('TFX version: {}'.format(tfx.__version__)) 5 import kfp /opt/conda/lib/python3.7/site-packages/tfx/v1/__init__.py in <module> 18 try: 19 # These modules may not be available in some environments. ---> 20 from tfx.v1 import components 21 from tfx.v1 import extensions 22 from tfx.v1 import orchestration /opt/conda/lib/python3.7/site-packages/tfx/v1/components/__init__.py in <module> 27 from tfx.components.statistics_gen.component import StatisticsGen 28 from tfx.components.trainer.component import Trainer ---> 29 from tfx.components.transform.component import Transform 30 from tfx.components.tuner.component import Tuner 31 /opt/conda/lib/python3.7/site-packages/tfx/components/transform/component.py in <module> 17 18 from tfx import types ---> 19 from tfx.components.transform import executor 20 from tfx.components.util import udf_utils 21 from tfx.dsl.components.base import base_beam_component /opt/conda/lib/python3.7/site-packages/tfx/components/transform/executor.py in <module> 23 import tensorflow as tf 24 import tensorflow_data_validation as tfdv ---> 25 import tensorflow_transform as tft 26 from tensorflow_transform import impl_helper 27 import tensorflow_transform.beam as tft_beam /opt/conda/lib/python3.7/site-packages/tensorflow_transform/__init__.py in <module> 34 # filesystem. 35 try: ---> 36 import tensorflow_io as _ # pytype: disable=import-error # pylint: disable=g-import-not-at-top 37 except ModuleNotFoundError: 38 pass /opt/conda/lib/python3.7/site-packages/tensorflow_io/__init__.py in <module> 15 """tensorflow_io""" 16 ---> 17 from tensorflow_io.python.api import * # pylint: disable=wildcard-import 18 from tensorflow_io.python.api.version import VERSION as __version__ /opt/conda/lib/python3.7/site-packages/tensorflow_io/python/api/__init__.py in <module> 17 18 # tensorflow_io.core.python.ops is implicitly imported (along with file system) ---> 19 from tensorflow_io.python.ops.io_dataset import IODataset 20 from tensorflow_io.python.ops.io_tensor import IOTensor 21 /opt/conda/lib/python3.7/site-packages/tensorflow_io/python/ops/__init__.py in <module> 94 core_ops = LazyLoader("core_ops", "libtensorflow_io.so") 95 try: ---> 96 plugin_ops = _load_library("libtensorflow_io_plugins.so", "fs") 97 except NotImplementedError as e: 98 warnings.warn("unable to load libtensorflow_io_plugins.so: {}".format(e)) /opt/conda/lib/python3.7/site-packages/tensorflow_io/python/ops/__init__.py in _load_library(filename, lib) 62 for f in filenames: 63 try: ---> 64 l = load_fn(f) 65 if l is not None: 66 return l /opt/conda/lib/python3.7/site-packages/tensorflow_io/python/ops/__init__.py in <lambda>(f) 54 load_fn = lambda f: ctypes.CDLL(f, mode=ctypes.RTLD_GLOBAL) 55 elif lib == "fs": ---> 56 load_fn = lambda f: tf.experimental.register_filesystem_plugin(f) is None 57 else: 58 load_fn = lambda f: tf.compat.v1.load_file_system_library(f) is None /opt/conda/lib/python3.7/site-packages/tensorflow_core/python/util/module_wrapper.py in __getattr__(self, name) 191 def __getattr__(self, name): 192 try: --> 193 attr = getattr(self._tfmw_wrapped_module, name) 194 except AttributeError: 195 if not self._tfmw_public_apis: AttributeError: module 'tensorflow._api.v1.experimental' has no attribute 'register_filesystem_plugin'
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https://github.com/GoogleCloudPlatform/training-data-analyst/blob/master/self-paced-labs/tfx/tfx-vertex/vertex_pipelines_simple.ipynb
Running via https://partner.cloudskillsboost.google/course_templates/666
pip dependency resolution seems to have gone off the rails, leading to TF 1.15 being installed, and then the following error:
The text was updated successfully, but these errors were encountered: