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pythontensorflow2.0tensorflow-probabilitytensorflow-agents

AttributeError: module 'tensorflow.python.ops.linalg.linear_operator_util' has no attribute 'matmul_with_broadcast'


I am trying to create my own PyEnvironment for TF-Agents. However, this error keeps showing up:

AttributeError: module 'tensorflow.python.ops.linalg.linear_operator_util' has no attribute 'matmul_with_broadcast'

I have found out that this seems to be an issue with tensorflow-probability, but I have installed the version tensorflow-probability=0.7.0 recommended at https://github.com/tensorflow/agents/issues/91

I have tried reinstalling and updating

tensorflow-gpu=2.0.0-beta1 tf-agents-nightly tensorflow-probability=0.7.0

Here is a minimal code example:

from tf_agents.environments import py_environment


class myEnv(py_environment.PyEnvironment):
    def __init__(self):
        pass

    def _reset(self):
        pass

    def _step(self, action):
        pass

This is the full error message when running this minimum example:

Traceback (most recent call last):   File ".\env_mwe.py", line 1, in <module>
    from tf_agents.environments import py_environment   File "C:\Python37\lib\site-packages\tf_agents\environments\__init__.py", line 18, in <module>
    from tf_agents.environments import batched_py_environment   File "C:\Python37\lib\site-packages\tf_agents\environments\batched_py_environment.py", line 33, in <module>
    from tf_agents.environments import py_environment   File "C:\Python37\lib\site-packages\tf_agents\environments\py_environment.py", line 29, in <module>
    from tf_agents.trajectories import time_step as ts   File "C:\Python37\lib\site-packages\tf_agents\trajectories\__init__.py", line 19, in <module>
    from tf_agents.trajectories import time_step   File "C:\Python37\lib\site-packages\tf_agents\trajectories\time_step.py", line 28, in <module>
    from tf_agents.specs import array_spec   File "C:\Python37\lib\site-packages\tf_agents\specs\__init__.py", line 20, in <module>
    from tf_agents.specs.distribution_spec import DistributionSpec   File "C:\Python37\lib\site-packages\tf_agents\specs\distribution_spec.py", line 22, in <module>
    import tensorflow_probability as tfp   File "E:\Users\tmp\AppData\Roaming\Python\Python37\site-packages\tensorflow_probability\__init__.py", line 78, in <module>
    from tensorflow_probability.python import *  # pylint: disable=wildcard-import   File "E:\Users\tmp\AppData\Roaming\Python\Python37\site-packages\tensorflow_probability\python\__init__.py", line 22, in <module>
    from tensorflow_probability.python import distributions   File "E:\Users\tmp\AppData\Roaming\Python\Python37\site-packages\tensorflow_probability\python\distributions\__init__.py", line 64, in <module>
    from tensorflow_probability.python.distributions.linear_gaussian_ssm import LinearGaussianStateSpaceModel   File "E:\Users\tmp\AppData\Roaming\Python\Python37\site-packages\tensorflow_probability\python\distributions\linear_gaussian_ssm.py", line 41, in <module>
    _matmul = linear_operator_util.matmul_with_broadcast AttributeError: module 'tensorflow.python.ops.linalg.linear_operator_util' has no attribute 'matmul_with_broadcast'

Solution

  • Found it!

    In order to use tensorflow-gpu with tensorflow-probability, one needs to install tfp-nightly

    So pip3 install --upgrade tfp-nightly did the trick