Traceback (most recent call last):


 "/home/mdalvi/miniconda3/lib/python3.7/runpy.py", line 193, in _run_module_as_main

"__main__", mod_spec)


 "/home/mdalvi/miniconda3/lib/python3.7/runpy.py", line 85, in _run_code

exec(code, run_globals)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/garage/experiment/experiment_wrapper.py", line 251, in <module>

run_experiment(sys.argv)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/garage/experiment/experiment_wrapper.py", line 166, in run_experiment

args.resume_from_epoch)


 "/home/mdalvi/Documents/poker-assistant/engine/simulator.py", line 61, in run_task

policy = CategoricalMLPPolicy(name='policy', env_spec=env.spec, hidden_sizes=(32, 32))


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/garage/tf/policies/categorical_mlp_policy.py", line 75, in __init__

self._initialize()


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/garage/tf/policies/categorical_mlp_policy.py", line 83, in _initialize

self.model.build(state_input)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/garage/tf/models/base.py", line 198, in build

network._outputs = self._build(*inputs, name)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/garage/tf/models/mlp_model.py", line 75, in _build

layer_normalization=self._layer_normalization)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/garage/tf/models/mlp.py", line 83, in mlp

name='hidden_{}'.format(idx))


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 324, in new_func

return func(*args, **kwargs)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/layers/core.py", line 187, in dense

return layer.apply(inputs)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 324, in new_func

return func(*args, **kwargs)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 1700, in apply

return self.__call__(inputs, *args, **kwargs)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/layers/base.py", line 548, in __call__

outputs = super(Layer, self).__call__(inputs, *args, **kwargs)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 824, in __call__

self._maybe_build(inputs)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 2146, in _maybe_build

self.build(input_shapes)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/layers/core.py", line 1021, in build

trainable=True)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/layers/base.py", line 461, in add_weight

**kwargs)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 529, in add_weight

aggregation=aggregation)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/training/tracking/base.py", line 712, in _add_variable_with_custom_getter

**kwargs_for_getter)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/variable_scope.py", line 1500, in get_variable

aggregation=aggregation)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/variable_scope.py", line 1243, in get_variable

aggregation=aggregation)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/variable_scope.py", line 567, in get_variable

aggregation=aggregation)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/variable_scope.py", line 519, in _true_getter

aggregation=aggregation)


 "/home/mdalvi/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/variable_scope.py", line 868, in _get_single_variable

(err_msg, "".join(traceback.format_list(tb))))
ValueError: Variable policy/MLPModel/mlp/hidden_0/kernel already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope? Originally defined at:

Traceback (most recent call last):


 "/usr/lib/python3.4/asyncio/tasks.py", line 237, in _step

result = next(coro)


 "/usr/local/lib/python3.4/dist-packages/homeassistant/helpers/entity.py", line 220, in async_update_ha_state

attr = self.state_attributes or {}


 "/usr/local/lib/python3.4/dist-packages/homeassistant/components/climate/__init__.py", line 417, in state_attributes

ATTR_MIN_TEMP: self._convert_for_display(self.min_temp),


 "/usr/local/lib/python3.4/dist-packages/homeassistant/components/climate/__init__.py", line 676, in min_temp

return convert_temperature(7, TEMP_CELSIUS, self.temperature_unit)


 "/usr/local/lib/python3.4/dist-packages/homeassistant/util/temperature.py", line 27, in convert

TEMPERATURE))
ValueError: None is not a recognized temperature unit.
