| message | InvalidEnvironment:
[...]InvalidEnvironment:
Traceback (most recent call last):
File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 242, in main
robot_ci.write_topic_and_expect_zero("seed", config.seed)
File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego1" aborted with the following error:
error in ego1 |Unexpected error:
|
|| Traceback (most recent call last):
|| File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 320, in loop
|| call_if_fun_exists(node, "init", context=context_data)
|| File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
|| f(**kwargs)
|| File "solution.py", line 44, in init
|| self.model = FrankNet.build(200, 150)
|| File "/submission/frankModel.py", line 76, in build
|| linearVelocity = FrankNet.build_linear_branch(inputs)
|| File "/submission/frankModel.py", line 31, in build_linear_branch
|| x = Dense(1164, kernel_initializer='normal', activation='relu')(x)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 897, in __call__
|| self._maybe_build(inputs)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 2416, in _maybe_build
|| self.build(input_shapes) # pylint:disable=not-callable
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/core.py", line 1158, in build
|| self.kernel = self.add_weight(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 560, in add_weight
|| variable = self._add_variable_with_custom_getter(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 738, in _add_variable_with_custom_getter
|| new_variable = getter(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 129, in make_variable
|| return tf_variables.VariableV1(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 259, in __call__
|| return cls._variable_v1_call(*args, **kwargs)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 205, in _variable_v1_call
|| return previous_getter(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 198, in <lambda>
|| previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py", line 2584, in default_variable_creator
|| return resource_variable_ops.ResourceVariable(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 263, in __call__
|| return super(VariableMetaclass, cls).__call__(*args, **kwargs)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1423, in __init__
|| self._init_from_args(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1567, in _init_from_args
|| initial_value() if init_from_fn else initial_value,
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 121, in <lambda>
|| init_val = lambda: initializer(shape, dtype=dtype)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops_v2.py", line 381, in __call__
|| return self._random_generator.random_normal(shape, self.mean, self.stddev,
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops_v2.py", line 1058, in random_normal
|| return op(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/random_ops.py", line 91, in random_normal
|| rnd = gen_random_ops.random_standard_normal(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_random_ops.py", line 641, in random_standard_normal
|| _ops.raise_from_not_ok_status(e, name)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 6653, in raise_from_not_ok_status
|| six.raise_from(core._status_to_exception(e.code, message), None)
|| File "<string>", line 3, in raise_from
|| tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[13824,1164] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [Op:RandomStandardNormal]
||
|| The above exception was the direct cause of the following exception:
||
|| Traceback (most recent call last):
|| File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 329, in loop
|| raise Exception(msg) from e
|| Exception: Exception while calling the node's init() function.
||
|| | Traceback (most recent call last):
|| | File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 320, in loop
|| | call_if_fun_exists(node, "init", context=context_data)
|| | File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
|| | f(**kwargs)
|| | File "solution.py", line 44, in init
|| | self.model = FrankNet.build(200, 150)
|| | File "/submission/frankModel.py", line 76, in build
|| | linearVelocity = FrankNet.build_linear_branch(inputs)
|| | File "/submission/frankModel.py", line 31, in build_linear_branch
|| | x = Dense(1164, kernel_initializer='normal', activation='relu')(x)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 897, in __call__
|| | self._maybe_build(inputs)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 2416, in _maybe_build
|| | self.build(input_shapes) # pylint:disable=not-callable
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/core.py", line 1158, in build
|| | self.kernel = self.add_weight(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 560, in add_weight
|| | variable = self._add_variable_with_custom_getter(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 738, in _add_variable_with_custom_getter
|| | new_variable = getter(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 129, in make_variable
|| | return tf_variables.VariableV1(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 259, in __call__
|| | return cls._variable_v1_call(*args, **kwargs)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 205, in _variable_v1_call
|| | return previous_getter(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 198, in <lambda>
|| | previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py", line 2584, in default_variable_creator
|| | return resource_variable_ops.ResourceVariable(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 263, in __call__
|| | return super(VariableMetaclass, cls).__call__(*args, **kwargs)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1423, in __init__
|| | self._init_from_args(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1567, in _init_from_args
|| | initial_value() if init_from_fn else initial_value,
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 121, in <lambda>
|| | init_val = lambda: initializer(shape, dtype=dtype)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops_v2.py", line 381, in __call__
|| | return self._random_generator.random_normal(shape, self.mean, self.stddev,
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops_v2.py", line 1058, in random_normal
|| | return op(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/random_ops.py", line 91, in random_normal
|| | rnd = gen_random_ops.random_standard_normal(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_random_ops.py", line 641, in random_standard_normal
|| | _ops.raise_from_not_ok_status(e, name)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 6653, in raise_from_not_ok_status
|| | six.raise_from(core._status_to_exception(e.code, message), None)
|| | File "<string>", line 3, in raise_from
|| | tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[13824,1164] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [Op:RandomStandardNormal]
|| |
||
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.8/site-packages/duckietown_challenges/cie_concrete.py", line 681, in scoring_context
yield cie
File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/experiment_manager.py", line 68, in go
wrap(cie)
File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/experiment_manager.py", line 34, in wrap
asyncio.run(main(cie, logdir, attempts), debug=True)
File "/usr/local/lib/python3.8/asyncio/runners.py", line 44, in run
return loop.run_until_complete(main)
File "/usr/local/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
return future.result()
File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 248, in main
raise InvalidEnvironment(msg) from e
duckietown_challenges.exceptions.InvalidEnvironment: Detected out of CUDA memory:
Traceback (most recent call last):
File "/usr/local/lib/python3.8/site-packages/duckietown_experiment_manager/code.py", line 242, in main
robot_ci.write_topic_and_expect_zero("seed", config.seed)
File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 143, in write_topic_and_expect_zero
msgs = read_reply(self.fpout, timeout=timeout, nickname=self.nickname)
File "/usr/local/lib/python3.8/site-packages/zuper_nodes_wrapper/wrapper_outside.py", line 309, in read_reply
raise RemoteNodeAborted(msg)
zuper_nodes.structures.RemoteNodeAborted: The remote node "ego1" aborted with the following error:
error in ego1 |Unexpected error:
|
|| Traceback (most recent call last):
|| File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 320, in loop
|| call_if_fun_exists(node, "init", context=context_data)
|| File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
|| f(**kwargs)
|| File "solution.py", line 44, in init
|| self.model = FrankNet.build(200, 150)
|| File "/submission/frankModel.py", line 76, in build
|| linearVelocity = FrankNet.build_linear_branch(inputs)
|| File "/submission/frankModel.py", line 31, in build_linear_branch
|| x = Dense(1164, kernel_initializer='normal', activation='relu')(x)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 897, in __call__
|| self._maybe_build(inputs)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 2416, in _maybe_build
|| self.build(input_shapes) # pylint:disable=not-callable
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/core.py", line 1158, in build
|| self.kernel = self.add_weight(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 560, in add_weight
|| variable = self._add_variable_with_custom_getter(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 738, in _add_variable_with_custom_getter
|| new_variable = getter(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 129, in make_variable
|| return tf_variables.VariableV1(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 259, in __call__
|| return cls._variable_v1_call(*args, **kwargs)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 205, in _variable_v1_call
|| return previous_getter(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 198, in <lambda>
|| previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py", line 2584, in default_variable_creator
|| return resource_variable_ops.ResourceVariable(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 263, in __call__
|| return super(VariableMetaclass, cls).__call__(*args, **kwargs)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1423, in __init__
|| self._init_from_args(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1567, in _init_from_args
|| initial_value() if init_from_fn else initial_value,
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 121, in <lambda>
|| init_val = lambda: initializer(shape, dtype=dtype)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops_v2.py", line 381, in __call__
|| return self._random_generator.random_normal(shape, self.mean, self.stddev,
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops_v2.py", line 1058, in random_normal
|| return op(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/random_ops.py", line 91, in random_normal
|| rnd = gen_random_ops.random_standard_normal(
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_random_ops.py", line 641, in random_standard_normal
|| _ops.raise_from_not_ok_status(e, name)
|| File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 6653, in raise_from_not_ok_status
|| six.raise_from(core._status_to_exception(e.code, message), None)
|| File "<string>", line 3, in raise_from
|| tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[13824,1164] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [Op:RandomStandardNormal]
||
|| The above exception was the direct cause of the following exception:
||
|| Traceback (most recent call last):
|| File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 329, in loop
|| raise Exception(msg) from e
|| Exception: Exception while calling the node's init() function.
||
|| | Traceback (most recent call last):
|| | File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 320, in loop
|| | call_if_fun_exists(node, "init", context=context_data)
|| | File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
|| | f(**kwargs)
|| | File "solution.py", line 44, in init
|| | self.model = FrankNet.build(200, 150)
|| | File "/submission/frankModel.py", line 76, in build
|| | linearVelocity = FrankNet.build_linear_branch(inputs)
|| | File "/submission/frankModel.py", line 31, in build_linear_branch
|| | x = Dense(1164, kernel_initializer='normal', activation='relu')(x)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 897, in __call__
|| | self._maybe_build(inputs)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 2416, in _maybe_build
|| | self.build(input_shapes) # pylint:disable=not-callable
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/core.py", line 1158, in build
|| | self.kernel = self.add_weight(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 560, in add_weight
|| | variable = self._add_variable_with_custom_getter(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py", line 738, in _add_variable_with_custom_getter
|| | new_variable = getter(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 129, in make_variable
|| | return tf_variables.VariableV1(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 259, in __call__
|| | return cls._variable_v1_call(*args, **kwargs)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 205, in _variable_v1_call
|| | return previous_getter(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 198, in <lambda>
|| | previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py", line 2584, in default_variable_creator
|| | return resource_variable_ops.ResourceVariable(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py", line 263, in __call__
|| | return super(VariableMetaclass, cls).__call__(*args, **kwargs)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1423, in __init__
|| | self._init_from_args(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py", line 1567, in _init_from_args
|| | initial_value() if init_from_fn else initial_value,
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py", line 121, in <lambda>
|| | init_val = lambda: initializer(shape, dtype=dtype)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops_v2.py", line 381, in __call__
|| | return self._random_generator.random_normal(shape, self.mean, self.stddev,
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops_v2.py", line 1058, in random_normal
|| | return op(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/random_ops.py", line 91, in random_normal
|| | rnd = gen_random_ops.random_standard_normal(
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_random_ops.py", line 641, in random_standard_normal
|| | _ops.raise_from_not_ok_status(e, name)
|| | File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 6653, in raise_from_not_ok_status
|| | six.raise_from(core._status_to_exception(e.code, message), None)
|| | File "<string>", line 3, in raise_from
|| | tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[13824,1164] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [Op:RandomStandardNormal]
|| |
||
|
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