I am training a custom ssd_mobilenet_v2_quantized_300x300 TensorFlow model for object detection using Google Colab with the downgraded version of TensorFlow 1.15.2 because I use to train my model on previous version of TensorFlow i.e. 1.14.0 but due to the latest update to version 2.2.0, I get the strange errors and therefore I can't use the latest version.
Using 1.15.2 version and selection even batch size of 8 I successfully starts the training process but after some time, the training process stops with the following errors.
TypeError: 'numpy.float64' object cannot be interpreted as an integer
self._traceback = tf_stack.extract_stack()
My complete training log is as follows;
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/evaluation.py", line 272, in _evaluate_once
session.run(eval_ops, feed_dict)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1360, in run
raise six.reraise(*original_exc_info)
File "/usr/local/lib/python3.6/dist-packages/six.py", line 693, in reraise
raise value
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1418, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1176, in run
return self._sess.run(*args, **kwargs)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.OutOfRangeError: 2 root error(s) found.
(0) Out of range: End of sequence
[[node IteratorGetNext (defined at tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]
(1) Out of range: End of sequence
[[node IteratorGetNext (defined at tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]
[[Postprocessor/BatchMultiClassNonMaxSuppression/MultiClassNonMaxSuppression/non_max_suppression_with_scores_1/NonMaxSuppressionV5/_4683]]
0 successful operations.
0 derived errors ignored.
Original stack trace for 'IteratorGetNext':
File "content/models/research/object_detection/model_main.py", line 114, in <module>
tf.app.run()
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "content/models/research/object_detection/model_main.py", line 110, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1494, in _train_with_estimator_spec
_, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1426, in run
run_metadata=run_metadata))
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 594, in after_run
if self._save(run_context.session, global_step):
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 504, in _evaluate
self._evaluate_build_graph(input_fn, hooks, checkpoint_path))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1511, in _evaluate_build_graph
self._call_model_fn_eval(input_fn, self.config))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1544, in _call_model_fn_eval
input_fn, ModeKeys.EVAL)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1025, in _get_features_and_labels_from_input_fn
self._call_input_fn(input_fn, mode))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/util.py", line 65, in parse_input_fn_result
result = iterator.get_next()
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/data/ops/iterator_ops.py", line 426, in get_next
name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/gen_dataset_ops.py", line 2518, in iterator_get_next
output_shapes=output_shapes, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 1748, in __init__
self._traceback = tf_stack.extract_stack()
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)
TypeError: 'numpy.float64' object cannot be interpreted as an integer
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 416, in first_value_func
self._metrics = self.evaluate()
File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 247, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)
File "/content/models/research/object_detection/metrics/coco_tools.py", line 178, in __init__
cocoeval.COCOeval.__init__(self, groundtruth, detections, iouType=iou_type)
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in __init__
self.params = Params(iouType=iouType) # parameters
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in __init__
self.setDetParams()
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)
File "<__array_function__ internals>", line 6, in linspace
File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))
TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
[[{{node PyFunc_3}}]]
[[cond/Detections_Left_Groundtruth_Right/0/_4927]]
(1) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)
TypeError: 'numpy.float64' object cannot be interpreted as an integer
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 416, in first_value_func
self._metrics = self.evaluate()
File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 247, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)
File "/content/models/research/object_detection/metrics/coco_tools.py", line 178, in __init__
cocoeval.COCOeval.__init__(self, groundtruth, detections, iouType=iou_type)
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in __init__
self.params = Params(iouType=iouType) # parameters
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in __init__
self.setDetParams()
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)
File "<__array_function__ internals>", line 6, in linspace
File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))
TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
[[{{node PyFunc_3}}]]
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/content/models/research/object_detection/model_main.py", line 114, in <module>
tf.app.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "/content/models/research/object_detection/model_main.py", line 110, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1494, in _train_with_estimator_spec
_, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1360, in run
raise six.reraise(*original_exc_info)
File "/usr/local/lib/python3.6/dist-packages/six.py", line 693, in reraise
raise value
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1426, in run
run_metadata=run_metadata))
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 594, in after_run
if self._save(run_context.session, global_step):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 511, in _evaluate
output_dir=self.eval_dir(name))
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1619, in _evaluate_run
config=self._session_config)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/evaluation.py", line 272, in _evaluate_once
session.run(eval_ops, feed_dict)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 861, in __exit__
self._close_internal(exception_type)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 894, in _close_internal
h.end(self._coordinated_creator.tf_sess)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 951, in end
self._final_ops, feed_dict=self._final_ops_feed_dict)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)
TypeError: 'numpy.float64' object cannot be interpreted as an integer
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 416, in first_value_func
self._metrics = self.evaluate()
File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 247, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)
File "/content/models/research/object_detection/metrics/coco_tools.py", line 178, in __init__
cocoeval.COCOeval.__init__(self, groundtruth, detections, iouType=iou_type)
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in __init__
self.params = Params(iouType=iouType) # parameters
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in __init__
self.setDetParams()
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)
File "<__array_function__ internals>", line 6, in linspace
File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))
TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
[[node PyFunc_3 (defined at tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]
[[cond/Detections_Left_Groundtruth_Right/0/_4927]]
(1) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)
TypeError: 'numpy.float64' object cannot be interpreted as an integer
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 416, in first_value_func
self._metrics = self.evaluate()
File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 247, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)
File "/content/models/research/object_detection/metrics/coco_tools.py", line 178, in __init__
cocoeval.COCOeval.__init__(self, groundtruth, detections, iouType=iou_type)
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in __init__
self.params = Params(iouType=iouType) # parameters
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in __init__
self.setDetParams()
File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)
File "<__array_function__ internals>", line 6, in linspace
File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))
TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
[[node PyFunc_3 (defined at tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]
0 successful operations.
0 derived errors ignored.
Original stack trace for 'PyFunc_3':
File "content/models/research/object_detection/model_main.py", line 114, in <module>
tf.app.run()
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "content/models/research/object_detection/model_main.py", line 110, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1494, in _train_with_estimator_spec
_, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1426, in run
run_metadata=run_metadata))
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 594, in after_run
if self._save(run_context.session, global_step):
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 504, in _evaluate
self._evaluate_build_graph(input_fn, hooks, checkpoint_path))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1511, in _evaluate_build_graph
self._call_model_fn_eval(input_fn, self.config))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1547, in _call_model_fn_eval
features, labels, ModeKeys.EVAL, config)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1149, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "content/models/research/object_detection/model_lib.py", line 570, in model_fn
eval_config, list(category_index.values()), eval_dict)
File "content/models/research/object_detection/eval_util.py", line 1045, in get_eval_metric_ops_for_evaluators
eval_dict))
File "content/models/research/object_detection/metrics/coco_evaluation.py", line 426, in get_estimator_eval_metric_ops
first_value_op = tf.py_func(first_value_func, [], tf.float32)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 513, in py_func
return py_func_common(func, inp, Tout, stateful, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 495, in py_func_common
func=func, inp=inp, Tout=Tout, stateful=stateful, eager=False, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 318, in _internal_py_func
input=inp, token=token, Tout=Tout, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/gen_script_ops.py", line 170, in py_func
"PyFunc", input=input, token=token, Tout=Tout, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 1748, in __init__
self._traceback = tf_stack.extract_stack()
What are the possibilites of getting over this issue, any kind of recommendations?
Try adding these lines of code immediately after importing Tensorflow in your train.py
from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession
config = ConfigProto()
config.gpu_options.allow_growth = True
session = InteractiveSession(config=config)
Related
I want to find the optimal number of neurons and layers for a LSTM model and I have created the following:
def build_model(n_hidden=1, n_neurons=30, learning_rate=3e-3, input_shape=[20,11]):
model = keras.models.Sequential()
options = {"input_shape": input_shape}
for layer in range(n_hidden):
model.add(keras.layers.Dense(n_neurons, activation="swish", **options))
options = {}
model.add(keras.layers.Dense(10, **options))
#optimizer = keras.optimizers.SGD(learning_rate)
model.compile(loss="mse", optimizer='adam')
return model
keras_reg = keras.wrappers.scikit_learn.KerasRegressor(build_model)
from scipy.stats import reciprocal
from sklearn.model_selection import RandomizedSearchCV
param_distribs = {
"n_hidden": [0, 1, 2, 3],
"n_neurons": np.arange(1, 100),
#"learning_rate": reciprocal(3e-4, 3e-2),
}
rnd_search_cv = RandomizedSearchCV(keras_reg, param_distribs, n_iter=10)
rnd_search_cv.fit(x_tr, y_tr , epochs=100,
callbacks=[keras.callbacks.EarlyStopping(patience=10)])
The dataset used is composed of 11 features and in this model it looks for the 20-in previous times steps and aims to predict the following 10 time steps. When I run the following code I have the following error:
> /home/use/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:372: FitFailedWarning:
50 fits failed out of a total of 50.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.
Below are more details about the failures:
> --------------------------------------------------------------------------------
1 fits failed with the following error:
Traceback (most recent call last):
File "/home/use/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 680, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/wrappers/scikit_learn.py", line 175, in fit
history = self.model.fit(x, y, **fit_args)
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/use/anaconda3/lib/python3.9/site-packages/tensorflow/python/eager/execute.py", line 52, in quick_execute
tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: Graph execution error:
Detected at node 'gradient_tape/mean_squared_error/BroadcastGradientArgs' defined at (most recent call last):
File "/home/use/anaconda3/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/use/anaconda3/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/use/anaconda3/lib/python3.9/site-packages/ipykernel_launcher.py", line 17, in <module>
app.launch_new_instance()
File "/home/use/anaconda3/lib/python3.9/site-packages/traitlets/config/application.py", line 846, in launch_instance
app.start()
File "/home/use/anaconda3/lib/python3.9/site-packages/ipykernel/kernelapp.py", line 712, in start
self.io_loop.start()
File "/home/use/anaconda3/lib/python3.9/site-packages/tornado/platform/asyncio.py", line 199, in start
self.asyncio_loop.run_forever()
File "/home/use/anaconda3/lib/python3.9/asyncio/base_events.py", line 601, in run_forever
self._run_once()
File "/home/use/anaconda3/lib/python3.9/asyncio/base_events.py", line 1905, in _run_once
handle._run()
File "/home/use/anaconda3/lib/python3.9/asyncio/events.py", line 80, in _run
self._context.run(self._callback, *self._args)
File "/home/use/anaconda3/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 510, in dispatch_queue
await self.process_one()
File "/home/use/anaconda3/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 499, in process_one
await dispatch(*args)
File "/home/use/anaconda3/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 406, in dispatch_shell
await result
File "/home/use/anaconda3/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 730, in execute_request
reply_content = await reply_content
File "/home/use/anaconda3/lib/python3.9/site-packages/ipykernel/ipkernel.py", line 390, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/home/use/anaconda3/lib/python3.9/site-packages/ipykernel/zmqshell.py", line 528, in run_cell
return super().run_cell(*args, **kwargs)
File "/home/use/anaconda3/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 2914, in run_cell
result = self._run_cell(
File "/home/use/anaconda3/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 2960, in _run_cell
return runner(coro)
File "/home/use/anaconda3/lib/python3.9/site-packages/IPython/core/async_helpers.py", line 78, in _pseudo_sync_runner
coro.send(None)
File "/home/use/anaconda3/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3185, in run_cell_async
has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
File "/home/use/anaconda3/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3377, in run_ast_nodes
if (await self.run_code(code, result, async_=asy)):
File "/home/use/anaconda3/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3457, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "/tmp/ipykernel_10055/1251208469.py", line 9, in <module>
rnd_search_cv.fit(x_tr, y_tr , epochs=100,
File "/home/use/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_search.py", line 891, in fit
self._run_search(evaluate_candidates)
File "/home/use/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_search.py", line 1766, in _run_search
evaluate_candidates(
File "/home/use/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_search.py", line 838, in evaluate_candidates
out = parallel(
File "/home/use/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__
if self.dispatch_one_batch(iterator):
File "/home/use/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch
self._dispatch(tasks)
File "/home/use/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch
job = self._backend.apply_async(batch, callback=cb)
File "/home/use/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 208, in apply_async
result = ImmediateResult(func)
File "/home/use/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 572, in __init__
self.results = batch()
File "/home/use/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 262, in __call__
return [func(*args, **kwargs)
File "/home/use/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 262, in <listcomp>
return [func(*args, **kwargs)
File "/home/use/anaconda3/lib/python3.9/site-packages/sklearn/utils/fixes.py", line 216, in __call__
return self.function(*args, **kwargs)
File "/home/use/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 680, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/wrappers/scikit_learn.py", line 175, in fit
history = self.model.fit(x, y, **fit_args)
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/engine/training.py", line 1650, in fit
tmp_logs = self.train_function(iterator)
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/engine/training.py", line 1249, in train_function
return step_function(self, iterator)
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/engine/training.py", line 1233, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/engine/training.py", line 1222, in run_step
outputs = model.train_step(data)
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/engine/training.py", line 1027, in train_step
self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 526, in minimize
grads_and_vars = self.compute_gradients(loss, var_list, tape)
File "/home/use/anaconda3/lib/python3.9/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 259, in compute_gradients
grads = tape.gradient(loss, var_list)
Node: 'gradient_tape/mean_squared_error/BroadcastGradientArgs'
Incompatible shapes: [32,20,10] vs. [32,10]
[[{{node gradient_tape/mean_squared_error/BroadcastGradientArgs}}]] [Op:__inference_train_function_1033752]
I am trying to run GradientExplainer method of SHAP on a trained Inception V3 model. I could do it without a problem on a VGG16 and MobileNet. The difference between Inception and those two models is the input dimension shape being 299 instead of 224.
But when I try SHAP on Inception I receive a long, confusing error that I cannot figure out and wasn't able to find an answer for here or elsewhere. Here is the error. Has someone here been able to visualize Inception V3 results using SHAP's GradientExplainer?
'''
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1376 try:
-> 1377 return fn(*args)
1378 except errors.OpError as e:
9 frames
InvalidArgumentError: 2 root error(s) found.
(0) INVALID_ARGUMENT: You must feed a value for placeholder tensor 'input_1' with dtype float and shape [?,299,299,3]
[[{{node input_1}}]]
[[dense_2/Softmax/_34069]]
(1) INVALID_ARGUMENT: You must feed a value for placeholder tensor 'input_1' with dtype float and shape [?,299,299,3]
[[{{node input_1}}]]
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
/usr/local/lib/python3.8/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1394 '\nsession_config.graph_options.rewrite_options.'
1395 'disable_meta_optimizer = True')
-> 1396 raise type(e)(node_def, op, message) # pylint: disable=no-value-for-parameter
1397
1398 def _extend_graph(self):
InvalidArgumentError: Graph execution error:
Detected at node 'input_1' defined at (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.8/dist-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/usr/local/lib/python3.8/dist-packages/traitlets/config/application.py", line 992, in launch_instance
app.start()
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelapp.py", line 612, in start
self.io_loop.start()
File "/usr/local/lib/python3.8/dist-packages/tornado/platform/asyncio.py", line 149, in start
self.asyncio_loop.run_forever()
File "/usr/lib/python3.8/asyncio/base_events.py", line 570, in run_forever
self._run_once()
File "/usr/lib/python3.8/asyncio/base_events.py", line 1859, in _run_once
handle._run()
File "/usr/lib/python3.8/asyncio/events.py", line 81, in _run
self._context.run(self._callback, *self._args)
File "/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py", line 690, in <lambda>
lambda f: self._run_callback(functools.partial(callback, future))
File "/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py", line 743, in _run_callback
ret = callback()
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 787, in inner
self.run()
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 748, in run
yielded = self.gen.send(value)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py", line 365, in process_one
yield gen.maybe_future(dispatch(*args))
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py", line 268, in dispatch_shell
yield gen.maybe_future(handler(stream, idents, msg))
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py", line 543, in execute_request
self.do_execute(
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/ipkernel.py", line 306, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/zmqshell.py", line 536, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 2854, in run_cell
result = self._run_cell(
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 2881, in _run_cell
return runner(coro)
File "/usr/local/lib/python3.8/dist-packages/IPython/core/async_helpers.py", line 68, in _pseudo_sync_runner
coro.send(None)
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 3057, in run_cell_async
has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 3249, in run_ast_nodes
if (await self.run_code(code, result, async_=asy)):
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 3326, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-28-2966d0b0f166>", line 2, in <module>
model = tf.keras.models.load_model(f'/content/drive/MyDrive/Colab Notebooks/models/{model_name}')
File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler
return fn(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/save.py", line 209, in load_model
return saved_model_load.load(filepath_str, compile, options)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 135, in load
keras_loader.load_layers(compile=compile)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 399, in load_layers
self.loaded_nodes[node_metadata.node_id] = self._load_layer(
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 441, in _load_layer
obj, setter = self._revive_from_config(identifier, metadata, node_id)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 459, in _revive_from_config
self._revive_layer_or_model_from_config(metadata, node_id))
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 523, in _revive_layer_or_model_from_config
obj = layers_module.deserialize(
File "/usr/local/lib/python3.8/dist-packages/keras/layers/serialization.py", line 205, in deserialize
return generic_utils.deserialize_keras_object(
File "/usr/local/lib/python3.8/dist-packages/keras/utils/generic_utils.py", line 686, in deserialize_keras_object
deserialized_obj = cls.from_config(cls_config)
File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer_v1.py", line 515, in from_config
return cls(**config)
File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler
return fn(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/keras/engine/input_layer.py", line 200, in __init__
input_tensor = backend.placeholder(
File "/usr/local/lib/python3.8/dist-packages/keras/backend.py", line 1386, in placeholder
x = tf.compat.v1.placeholder(dtype, shape=shape, name=name)
Node: 'input_1'
Detected at node 'input_1' defined at (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.8/dist-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/usr/local/lib/python3.8/dist-packages/traitlets/config/application.py", line 992, in launch_instance
app.start()
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelapp.py", line 612, in start
self.io_loop.start()
File "/usr/local/lib/python3.8/dist-packages/tornado/platform/asyncio.py", line 149, in start
self.asyncio_loop.run_forever()
File "/usr/lib/python3.8/asyncio/base_events.py", line 570, in run_forever
self._run_once()
File "/usr/lib/python3.8/asyncio/base_events.py", line 1859, in _run_once
handle._run()
File "/usr/lib/python3.8/asyncio/events.py", line 81, in _run
self._context.run(self._callback, *self._args)
File "/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py", line 690, in <lambda>
lambda f: self._run_callback(functools.partial(callback, future))
File "/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py", line 743, in _run_callback
ret = callback()
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 787, in inner
self.run()
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 748, in run
yielded = self.gen.send(value)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py", line 365, in process_one
yield gen.maybe_future(dispatch(*args))
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py", line 268, in dispatch_shell
yield gen.maybe_future(handler(stream, idents, msg))
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py", line 543, in execute_request
self.do_execute(
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/ipkernel.py", line 306, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/zmqshell.py", line 536, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 2854, in run_cell
result = self._run_cell(
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 2881, in _run_cell
return runner(coro)
File "/usr/local/lib/python3.8/dist-packages/IPython/core/async_helpers.py", line 68, in _pseudo_sync_runner
coro.send(None)
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 3057, in run_cell_async
has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 3249, in run_ast_nodes
if (await self.run_code(code, result, async_=asy)):
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 3326, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-28-2966d0b0f166>", line 2, in <module>
model = tf.keras.models.load_model(f'/content/drive/MyDrive/Colab Notebooks/models/{model_name}')
File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler
return fn(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/save.py", line 209, in load_model
return saved_model_load.load(filepath_str, compile, options)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 135, in load
keras_loader.load_layers(compile=compile)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 399, in load_layers
self.loaded_nodes[node_metadata.node_id] = self._load_layer(
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 441, in _load_layer
obj, setter = self._revive_from_config(identifier, metadata, node_id)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 459, in _revive_from_config
self._revive_layer_or_model_from_config(metadata, node_id))
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 523, in _revive_layer_or_model_from_config
obj = layers_module.deserialize(
File "/usr/local/lib/python3.8/dist-packages/keras/layers/serialization.py", line 205, in deserialize
return generic_utils.deserialize_keras_object(
File "/usr/local/lib/python3.8/dist-packages/keras/utils/generic_utils.py", line 686, in deserialize_keras_object
deserialized_obj = cls.from_config(cls_config)
File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer_v1.py", line 515, in from_config
return cls(**config)
File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler
return fn(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/keras/engine/input_layer.py", line 200, in __init__
input_tensor = backend.placeholder(
File "/usr/local/lib/python3.8/dist-packages/keras/backend.py", line 1386, in placeholder
x = tf.compat.v1.placeholder(dtype, shape=shape, name=name)
Node: 'input_1'
2 root error(s) found.
(0) INVALID_ARGUMENT: You must feed a value for placeholder tensor 'input_1' with dtype float and shape [?,299,299,3]
[[{{node input_1}}]]
[[dense_2/Softmax/_34069]]
(1) INVALID_ARGUMENT: You must feed a value for placeholder tensor 'input_1' with dtype float and shape [?,299,299,3]
[[{{node input_1}}]]
0 successful operations.
0 derived errors ignored.
Original stack trace for 'input_1':
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.8/dist-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/usr/local/lib/python3.8/dist-packages/traitlets/config/application.py", line 992, in launch_instance
app.start()
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelapp.py", line 612, in start
self.io_loop.start()
File "/usr/local/lib/python3.8/dist-packages/tornado/platform/asyncio.py", line 149, in start
self.asyncio_loop.run_forever()
File "/usr/lib/python3.8/asyncio/base_events.py", line 570, in run_forever
self._run_once()
File "/usr/lib/python3.8/asyncio/base_events.py", line 1859, in _run_once
handle._run()
File "/usr/lib/python3.8/asyncio/events.py", line 81, in _run
self._context.run(self._callback, *self._args)
File "/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py", line 690, in <lambda>
lambda f: self._run_callback(functools.partial(callback, future))
File "/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py", line 743, in _run_callback
ret = callback()
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 787, in inner
self.run()
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 748, in run
yielded = self.gen.send(value)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py", line 365, in process_one
yield gen.maybe_future(dispatch(*args))
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py", line 268, in dispatch_shell
yield gen.maybe_future(handler(stream, idents, msg))
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/kernelbase.py", line 543, in execute_request
self.do_execute(
File "/usr/local/lib/python3.8/dist-packages/tornado/gen.py", line 209, in wrapper
yielded = next(result)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/ipkernel.py", line 306, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/usr/local/lib/python3.8/dist-packages/ipykernel/zmqshell.py", line 536, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 2854, in run_cell
result = self._run_cell(
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 2881, in _run_cell
return runner(coro)
File "/usr/local/lib/python3.8/dist-packages/IPython/core/async_helpers.py", line 68, in _pseudo_sync_runner
coro.send(None)
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 3057, in run_cell_async
has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 3249, in run_ast_nodes
if (await self.run_code(code, result, async_=asy)):
File "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py", line 3326, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-28-2966d0b0f166>", line 2, in <module>
model = tf.keras.models.load_model(f'/content/drive/MyDrive/Colab Notebooks/models/{model_name}')
File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler
return fn(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/save.py", line 209, in load_model
return saved_model_load.load(filepath_str, compile, options)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 135, in load
keras_loader.load_layers(compile=compile)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 399, in load_layers
self.loaded_nodes[node_metadata.node_id] = self._load_layer(
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 441, in _load_layer
obj, setter = self._revive_from_config(identifier, metadata, node_id)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 459, in _revive_from_config
self._revive_layer_or_model_from_config(metadata, node_id))
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 523, in _revive_layer_or_model_from_config
obj = layers_module.deserialize(
File "/usr/local/lib/python3.8/dist-packages/keras/layers/serialization.py", line 205, in deserialize
return generic_utils.deserialize_keras_object(
File "/usr/local/lib/python3.8/dist-packages/keras/utils/generic_utils.py", line 686, in deserialize_keras_object
deserialized_obj = cls.from_config(cls_config)
File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer_v1.py", line 515, in from_config
return cls(**config)
File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler
return fn(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/keras/engine/input_layer.py", line 200, in __init__
input_tensor = backend.placeholder(
File "/usr/local/lib/python3.8/dist-packages/keras/backend.py", line 1386, in placeholder
x = tf.compat.v1.placeholder(dtype, shape=shape, name=name)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/array_ops.py", line 3346, in placeholder
return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 6893, in placeholder
_, _, _op, _outputs = _op_def_library._apply_op_helper(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 797, in _apply_op_helper
op = g._create_op_internal(op_type_name, inputs, dtypes=None,
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3754, in _create_op_internal
ret = Operation(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 2133, in __init__
self._traceback = tf_stack.extract_stack_for_node(self._c_op)
'''
I am converting the MTCNN tensorflow into tensorflow tensorRT
When I run camera_test.py
I get this error FailedPreconditionError: Attempting to use uninitialized in Tensorflow
Traceback (most recent call last): File
"/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py",
line 1334, in _do_call
return fn(*args) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py",
line 1319, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py",
line 1407, in _call_tf_sessionrun
run_metadata) tensorflow.python.framework.errors_impl.FailedPreconditionError:
Attempting to use uninitialized value conv4_2/biases [[{{node
conv4_2/biases/read}}]] [[{{node Squeeze_1}}]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "camera_test_trrt.py", line
48, in
boxes_c,landmarks = mtcnn_detector.detect(image) File "../Detection/MtcnnDetector.py", line 371, in detect
boxes, boxes_c, _ = self.detect_pnet(img) File "../Detection/MtcnnDetector.py", line 221, in detect_pnet
cls_cls_map, reg = self.pnet_detector.predict(im_resized) File "../Detection/fcn_detector_trrt.py", line 56, in predict
self.height_op: height}) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py",
line 929, in run
run_metadata_ptr) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py",
line 1152, in _run
feed_dict_tensor, options, run_metadata) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py",
line 1328, in _do_run
run_metadata) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py",
line 1348, in _do_call
raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.FailedPreconditionError:
Attempting to use uninitialized value conv4_2/biases [[node
conv4_2/biases/read (defined at ../train_models/mtcnn_model.py:208) ]]
[[node Squeeze_1 (defined at ../train_models/mtcnn_model.py:245) ]]
Caused by op 'conv4_2/biases/read', defined at: File
"camera_test_trrt.py", line 23, in
PNet = FcnDetector(P_Net, '/home/jetsonnano/Downloads/MTCNN-Tensorflow-master/test/p_output_graph_FP16.pb')
File "../Detection/fcn_detector_trrt.py", line 23, in init
self.cls_prob, self.bbox_pred, _ = net_factory(image_reshape, training=False) File "../train_models/mtcnn_model.py", line 208, in
P_Net
bbox_pred = slim.conv2d(net,num_outputs=4,kernel_size=[1,1],stride=1,scope='conv4_2',activation_fn=None)
File
"/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py",
line 182, in func_with_args
return func(*args, **current_args) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/layers/python/layers/layers.py",
line 1158, in convolution2d
conv_dims=2) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py",
line 182, in func_with_args
return func(*args, **current_args) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/layers/python/layers/layers.py",
line 1061, in convolution
outputs = layer.apply(inputs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py",
line 1227, in apply
return self.call(inputs, *args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/layers/base.py",
line 530, in call
outputs = super(Layer, self).call(inputs, *args, **kwargs) File
"/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py",
line 538, in call
self._maybe_build(inputs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py",
line 1603, in _maybe_build
self.build(input_shapes) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/keras/layers/convolutional.py",
line 174, in build
dtype=self.dtype) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/layers/base.py",
line 435, in add_weight
getter=vs.get_variable) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py",
line 349, in add_weight
aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/training/checkpointable/base.py",
line 607, in _add_variable_with_custom_getter
**kwargs_for_getter) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py",
line 1479, in get_variable
aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py",
line 1220, in get_variable
aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py",
line 530, in get_variable
return custom_getter(**custom_getter_kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/layers/python/layers/layers.py",
line 1753, in layer_variable_getter
return _model_variable_getter(getter, *args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/layers/python/layers/layers.py",
line 1744, in _model_variable_getter
aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py",
line 182, in func_with_args
return func(*args, **current_args) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/variables.py",
line 350, in model_variable
aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py",
line 182, in func_with_args
return func(*args, **current_args) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/variables.py",
line 277, in variable
aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py",
line 499, in _true_getter
aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py",
line 911, in _get_single_variable
aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py",
line 213, in call
return cls._variable_v1_call(*args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py",
line 176, in _variable_v1_call
aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py",
line 155, in
previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py",
line 2495, in default_variable_creator
expected_shape=expected_shape, import_scope=import_scope) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py",
line 217, in call
return super(VariableMetaclass, cls).call(*args, **kwargs) File
"/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py",
line 1395, in init
constraint=constraint) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py",
line 1557, in _init_from_args
self._snapshot = array_ops.identity(self._variable, name="read") File
"/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/util/dispatch.py",
line 180, in wrapper
return target(*args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py",
line 81, in identity
ret = gen_array_ops.identity(input, name=name) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py",
line 3890, in identity
"Identity", input=input, name=name) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py",
line 788, in _apply_op_helper
op_def=op_def) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py",
line 507, in new_func
return func(*args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/framework/ops.py",
line 3300, in create_op
op_def=op_def) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/framework/ops.py",
line 1801, in init
self._traceback = tf_stack.extract_stack()
FailedPreconditionError (see above for traceback): Attempting to use
uninitialized value conv4_2/biases [[node conv4_2/biases/read
(defined at ../train_models/mtcnn_model.py:208) ]] [[node Squeeze_1
(defined at ../train_models/mtcnn_model.py:245) ]]
how do i tf.global_variables_initializer will sess.run
init_op = tf.initialize_all_variables()
sess = tf.Session()
sess.run(init_op)
When I have output parameters and feed_dict in sess.run
cls_prob, bbox_pred,landmark_pred = self.sess.run([self.cls_prob, self.bbox_pred,self.landmark_pred], feed_dict={self.image_op: data})
in detector.py
and
cls_prob, bbox_pred = self.sess.run([self.cls_prob, self.bbox_pred],feed_dict={self.image_op: databatch, self.width_op: width,self.height_op: height})
in fcn_detector.py
can anyone help out here?
Just after the following line
self.sess = tf.Session( config=tf.ConfigProto(allow_soft_placement=True, gpu_options=tf.GPUOptions(allow_growth=True)))
declare
init_op = tf.global_variables_initializer()
and do
self.sess.run(init_op)
I cannot run my code in Google Colaboratory twice without restarting runtime. Is there a way to run it without restarting runtime.
My code takes TensorD libraries and compute aproximation of a random 2x4x4 tensor using CP ALS algorithm. (this is an example taken from https://github.com/Large-Scale-Tensor-Decomposition/tensorD)
!git clone https://github.com/Large-Scale-Tensor-Decomposition/tensorD.git
import sys
import time
sys.path.append("/content/tensorD")
from tensorD.factorization.env import Environment
from tensorD.dataproc.provider import Provider
from tensorD.demo.DataGenerator import *
from tensorD.factorization.cp import CP_ALS
# generate a random tensor with shape 3x4x4
t = time.time()
X = synthetic_data_cp([3, 4, 4], 7)
data_provider = Provider()
data_provider.full_tensor = lambda: X
env = Environment(data_provider, summary_path='/tmp/cp_' + '7')
cp = CP_ALS(env)
args = CP_ALS.CP_Args(rank=7, validation_internal=1)
# build CP model with arguments
cp.build_model(args)
# train CP model with the maximum iteration of 100
cp.train(50)
# obtain factor matrices from trained model
factor_matrices = cp.factors
# obtain scaling vector from trained model
lambdas = cp.lambdas
for matrix in factor_matrices:
print(matrix)
elapsed = time.time() - t
print(elapsed)
when I run it first time I have no problem. When I run it again (without restart of runtime) I obtain:
CP model initial finish
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1333 try:
-> 1334 return fn(*args)
1335 except errors.OpError as e:
7 frames
InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder' with dtype float and shape [3,4,4]
[[{{node Placeholder}}]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1346 pass
1347 message = error_interpolation.interpolate(message, self._graph)
-> 1348 raise type(e)(node_def, op, message)
1349
1350 def _extend_graph(self):
InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder' with dtype float and shape [3,4,4]
[[node Placeholder (defined at /content/tensorD/tensorD/factorization/cp.py:69) ]]
Caused by op 'Placeholder', defined at:
File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/usr/local/lib/python3.6/dist-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "/usr/local/lib/python3.6/dist-packages/tornado/ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "/usr/local/lib/python3.6/dist-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/zmq/eventloop/zmqstream.py", line 450, in _handle_events
self._handle_recv()
File "/usr/local/lib/python3.6/dist-packages/zmq/eventloop/zmqstream.py", line 480, in _handle_recv
self._run_callback(callback, msg)
File "/usr/local/lib/python3.6/dist-packages/zmq/eventloop/zmqstream.py", line 432, in _run_callback
callback(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/usr/local/lib/python3.6/dist-packages/ipykernel/zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py", line 2718, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py", line 2822, in run_ast_nodes
if self.run_code(code, result):
File "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py", line 2882, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-4-4d2250ec007b>", line 21, in <module>
cp.build_model(args)
File "/content/tensorD/tensorD/factorization/cp.py", line 69, in build_model
input_data = tf.placeholder(tf.float32, shape=self._env.full_shape())
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_ops.py", line 2077, in placeholder
return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 5791, in placeholder
"Placeholder", dtype=dtype, shape=shape, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3300, in create_op
op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1801, in __init__
self._traceback = tf_stack.extract_stack()
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Placeholder' with dtype float and shape [3,4,4]
[[node Placeholder (defined at /content/tensorD/tensorD/factorization/cp.py:69) ]]
Any help will be appreciated!
This seems to mostly be a question about TensorFlow. Do you get what you want outside of Colab? I'm not totally clear about what you are expecting, but import tensorflow as tf; tf.reset_default_graph() at the top of your snippet seems sensible and squelches the error.
I'm using python 3.6(Anaconda) on windows-64bit PC. TensorFlow version that I'm using is TensorFlow-1.2.1. I'm running following simple code in my PC.
import tensorflow as tf
sess = tf.Session()
x1 = tf.constant(5)
x2 = tf.constant(6)
# runs result
print(sess.run(x1))
It is giving me following error.:
Traceback (most recent call last):
File "<ipython-input-64-f7e8ea564f81>", line 7, in <module>
print(sess.run(x1))
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 789, in run
run_metadata_ptr)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 997, in _run
feed_dict_string, options, run_metadata)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1132, in _do_run
target_list, options, run_metadata)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1152, in _do_call
raise type(e)(node_def, op, message)
InvalidArgumentError: Cannot assign a device for operation 'MatMul': Operation was explicitly assigned to /device:GPU:1 but available devices are [ /job:localhost/replica:0/task:0/cpu:0 ]. Make sure the device specification refers to a valid device.
[[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/device:GPU:1"](Const_2, Const_3)]]
Caused by op 'MatMul', defined at:
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 227, in <module>
main()
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 223, in main
kernel.start()
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 474, in start
ioloop.IOLoop.instance().start()
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tornado\ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 276, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 228, in dispatch_shell
handler(stream, idents, msg)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 390, in execute_request
user_expressions, allow_stdin)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 501, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2821, in run_ast_nodes
if self.run_code(code, result):
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-18-02c5e13ac58a>", line 5, in <module>
product = tf.matmul(matrix1, matrix2)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1816, in matmul
a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 1217, in _mat_mul
transpose_b=transpose_b, name=name)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 767, in apply_op
op_def=op_def)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 2506, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:\Users\POPEYE.SAILOR\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1269, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Cannot assign a device for operation 'MatMul': Operation was explicitly assigned to /device:GPU:1 but available devices are [ /job:localhost/replica:0/task:0/cpu:0 ]. Make sure the device specification refers to a valid device.
[[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/device:GPU:1"](Const_2, Const_3)]]
Prior to this it was running just fine. I could run these codes but suddenly is has started showing the above error. I have not made any changes in anaconda environment nor have installed any other package.