alphafold: SymbolAlreadyExposedError
Running Alphafold on Colab with all default settings including the default sequence_1
Step 4 “Search against genetic database” results in the following fatal error:
SymbolAlreadyExposedError Traceback (most recent call last)
[<ipython-input-14-f1fdee26350e>](https://localhost:8080/#) in <cell line: 27>()
25 import py3Dmol
26
---> 27 from alphafold.model import model
28 from alphafold.model import config
29 from alphafold.model import data
22 frames
[/opt/conda/lib/python3.10/site-packages/alphafold/model/model.py](https://localhost:8080/#) in <module>
18 from absl import logging
19 from alphafold.common import confidence
---> 20 from alphafold.model import features
21 from alphafold.model import modules
22 from alphafold.model import modules_multimer
[/opt/conda/lib/python3.10/site-packages/alphafold/model/features.py](https://localhost:8080/#) in <module>
17 from typing import List, Mapping, Tuple
18
---> 19 from alphafold.model.tf import input_pipeline
20 from alphafold.model.tf import proteins_dataset
21
[/opt/conda/lib/python3.10/site-packages/alphafold/model/tf/input_pipeline.py](https://localhost:8080/#) in <module>
15 """Feature pre-processing input pipeline for AlphaFold."""
16
---> 17 from alphafold.model.tf import data_transforms
18 from alphafold.model.tf import shape_placeholders
19 import tensorflow.compat.v1 as tf
[/opt/conda/lib/python3.10/site-packages/alphafold/model/tf/data_transforms.py](https://localhost:8080/#) in <module>
16
17 from alphafold.common import residue_constants
---> 18 from alphafold.model.tf import shape_helpers
19 from alphafold.model.tf import shape_placeholders
20 from alphafold.model.tf import utils
[/opt/conda/lib/python3.10/site-packages/alphafold/model/tf/shape_helpers.py](https://localhost:8080/#) in <module>
14
15 """Utilities for dealing with shapes of TensorFlow tensors."""
---> 16 import tensorflow.compat.v1 as tf
17
18
[/opt/conda/lib/python3.10/site-packages/tensorflow/__init__.py](https://localhost:8080/#) in <module>
476 # See b/196254385 for more details.
477 try:
--> 478 importlib.import_module("keras.optimizers")
479 except (ImportError, AttributeError):
480 pass
[/usr/lib/python3.10/importlib/__init__.py](https://localhost:8080/#) in import_module(name, package)
124 break
125 level += 1
--> 126 return _bootstrap._gcd_import(name[level:], package, level)
127
128
[/usr/local/lib/python3.10/dist-packages/keras/__init__.py](https://localhost:8080/#) in <module>
1 """AUTOGENERATED. DO NOT EDIT."""
2
----> 3 from keras import __internal__
4 from keras import activations
5 from keras import applications
[/usr/local/lib/python3.10/dist-packages/keras/__internal__/__init__.py](https://localhost:8080/#) in <module>
1 """AUTOGENERATED. DO NOT EDIT."""
2
----> 3 from keras.__internal__ import backend
4 from keras.__internal__ import layers
5 from keras.__internal__ import losses
[/usr/local/lib/python3.10/dist-packages/keras/__internal__/backend/__init__.py](https://localhost:8080/#) in <module>
1 """AUTOGENERATED. DO NOT EDIT."""
2
----> 3 from keras.src.backend import _initialize_variables as initialize_variables
4 from keras.src.backend import track_variable
[/usr/local/lib/python3.10/dist-packages/keras/src/__init__.py](https://localhost:8080/#) in <module>
19 """
20
---> 21 from keras.src import applications
22 from keras.src import distribute
23 from keras.src import models
[/usr/local/lib/python3.10/dist-packages/keras/src/applications/__init__.py](https://localhost:8080/#) in <module>
16
17
---> 18 from keras.src.applications.convnext import ConvNeXtBase
19 from keras.src.applications.convnext import ConvNeXtLarge
20 from keras.src.applications.convnext import ConvNeXtSmall
[/usr/local/lib/python3.10/dist-packages/keras/src/applications/convnext.py](https://localhost:8080/#) in <module>
26 import tensorflow.compat.v2 as tf
27
---> 28 from keras.src import backend
29 from keras.src import initializers
30 from keras.src import layers
[/usr/local/lib/python3.10/dist-packages/keras/src/backend.py](https://localhost:8080/#) in <module>
33 from keras.src.distribute import distribute_coordinator_utils as dc
34 from keras.src.dtensor import dtensor_api as dtensor
---> 35 from keras.src.engine import keras_tensor
36 from keras.src.utils import control_flow_util
37 from keras.src.utils import object_identity
[/usr/local/lib/python3.10/dist-packages/keras/src/engine/keras_tensor.py](https://localhost:8080/#) in <module>
17 import tensorflow.compat.v2 as tf
18
---> 19 from keras.src.utils import object_identity
20
21 # isort: off
[/usr/local/lib/python3.10/dist-packages/keras/src/utils/__init__.py](https://localhost:8080/#) in <module>
18
19 # Serialization related
---> 20 from keras.src.saving.serialization_lib import deserialize_keras_object
21 from keras.src.saving.serialization_lib import serialize_keras_object
22 from keras.src.saving.object_registration import CustomObjectScope
[/usr/local/lib/python3.10/dist-packages/keras/src/saving/serialization_lib.py](https://localhost:8080/#) in <module>
26 from keras.src.saving import object_registration
27 from keras.src.saving.legacy import serialization as legacy_serialization
---> 28 from keras.src.saving.legacy.saved_model.utils import in_tf_saved_model_scope
29 from keras.src.utils import generic_utils
30
[/usr/local/lib/python3.10/dist-packages/keras/src/saving/legacy/saved_model/utils.py](https://localhost:8080/#) in <module>
28 from keras.src.utils import tf_contextlib
29 from keras.src.utils.generic_utils import LazyLoader
---> 30 from keras.src.utils.layer_utils import CallFunctionSpec
31
32 training_lib = LazyLoader("training_lib", globals(), "keras.src.engine.training")
[/usr/local/lib/python3.10/dist-packages/keras/src/utils/layer_utils.py](https://localhost:8080/#) in <module>
24 import tensorflow.compat.v2 as tf
25
---> 26 from keras.src import initializers
27 from keras.src.utils import io_utils
28
[/usr/local/lib/python3.10/dist-packages/keras/src/initializers/__init__.py](https://localhost:8080/#) in <module>
21
22 from keras.src.initializers import initializers
---> 23 from keras.src.initializers import initializers_v1
24 from keras.src.saving import serialization_lib
25 from keras.src.saving.legacy import serialization as legacy_serialization
[/usr/local/lib/python3.10/dist-packages/keras/src/initializers/initializers_v1.py](https://localhost:8080/#) in <module>
30 _v1_glorot_normal_initializer = tf.compat.v1.glorot_normal_initializer
31
---> 32 keras_export(v1=["keras.initializers.Zeros", "keras.initializers.zeros"])(
33 _v1_zeros_initializer
34 )
[/opt/conda/lib/python3.10/site-packages/tensorflow/python/util/tf_export.py](https://localhost:8080/#) in __call__(self, func)
346
347 _, undecorated_func = tf_decorator.unwrap(func)
--> 348 self.set_attr(undecorated_func, api_names_attr, self._names)
349 self.set_attr(undecorated_func, api_names_attr_v1, self._names_v1)
350
[/opt/conda/lib/python3.10/site-packages/tensorflow/python/util/tf_export.py](https://localhost:8080/#) in set_attr(self, func, api_names_attr, names)
362 if api_names_attr in func.__dict__:
363 if not self._allow_multiple_exports:
--> 364 raise SymbolAlreadyExposedError(
365 'Symbol %s is already exposed as %s.' %
366 (func.__name__, getattr(func, api_names_attr))) # pylint: disable=protected-access
SymbolAlreadyExposedError: Symbol Zeros is already exposed as ().`
About this issue
- Original URL
- State: closed
- Created 7 months ago
- Comments: 16
Thank you!! Have been trying to figure this out for a week! I did have to sudo in order to do this properly. Without sudo it appeared to work, but threw a warning, so i ran again to make sure it didn’t find the package which it did not, but when I ran as sudo it found it again and then did not give a warning. and Step 4 is now running, so we will see.
%shell sudo python -m pip uninstall keras -yIt appears that the problem is being caused by Keras, which is not a strict dependency, but is installed automatically with the necessary Tensorflow. Therefore, once AlphaFold with the required dependencies is installed (step 2), you can resolve the issue by uninstalling Keras using a command like
%shell python -m pip uninstall keras -y.Thanks to @omikhailovskii for suggesting uninstalling keras. Colab should now be working after https://github.com/google-deepmind/alphafold/commit/632ef575c64eff9eb5ed96c8c7b055bf675421ac