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ai_drive works just fine for other models like glm and Ann but has errors when ran from cnn trained models.
the error is:
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder' with dtype float
[[Node: Placeholder = Placeholderdtype=DT_FLOAT, shape=, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
i think the error lies here.
in glm and ann:
x = tf.placeholder(tf.float32, shape=[None, 240, 320, 3], name='x')
y_ = tf.placeholder(tf.float32, shape=[None, 3], name='y_')
x_shaped = tf.reshape(x, [-1, 240 * 320 * 3])
but in cnn:
x = tf.placeholder(tf.float32, shape=[None, 240, 320, 3], name='x')
y_ = tf.placeholder(tf.float32, shape=[None, 3], name='y_')
why do you only reshape for glm and ann.
full error in console:
2018-07-21 11:39:54.144693: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
2018-07-21 11:40:04.581812: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
2018-07-21 11:40:14.998577: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
2018-07-21 11:40:25.908618: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
2018-07-21 11:40:25.908639: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
2018-07-21 11:40:25.908857: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
Exception in thread Prediction thread:
Traceback (most recent call last):
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1322, in _do_call
return fn(*args)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1307, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1409, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder' with dtype float
[[Node: Placeholder = Placeholderdtype=DT_FLOAT, shape=, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/lib/python3.6/threading.py", line 916, in _bootstrap_inner
self.run()
File "/usr/lib/python3.6/threading.py", line 864, in run
self._target(*self._args, **self._kwargs)
File "/home/the_pradeep/PycharmProjects/untitled/CommandCenter.py", line 113, in predict_from_queue
command_index = self.prediction.eval(feed_dict={self.x: normalized_images}, session=self.sess)[0]
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 710, in eval
return _eval_using_default_session(self, feed_dict, self.graph, session)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 5180, in _eval_using_default_session
return session.run(tensors, feed_dict)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 900, in run
run_metadata_ptr)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1135, in _run
feed_dict_tensor, options, run_metadata)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1316, in _do_run
run_metadata)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1335, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder' with dtype float
[[Node: Placeholder = Placeholderdtype=DT_FLOAT, shape=, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
Caused by op 'Placeholder', defined at:
File "/home/the_pradeep/PycharmProjects/untitled/ai_drive.py", line 18, in
command_center = CommandCenter(checkpoint_dir_path=checkpoint_dir_path, ip=ip)
File "/home/the_pradeep/PycharmProjects/untitled/CommandCenter.py", line 32, in init
saver = tf.train.import_meta_graph(checkpoint_dir_path + "/" + graph_name + ".meta")
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1955, in import_meta_graph
**kwargs)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/meta_graph.py", line 743, in import_scoped_meta_graph
producer_op_list=producer_op_list)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 432, in new_func
return func(*args, **kwargs)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 513, in import_graph_def
_ProcessNewOps(graph)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 303, in _ProcessNewOps
for new_op in graph._add_new_tf_operations(compute_devices=False): # pylint: disable=protected-access
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3540, in _add_new_tf_operations
for c_op in c_api_util.new_tf_operations(self)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3540, in
for c_op in c_api_util.new_tf_operations(self)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3428, in _create_op_from_tf_operation
ret = Operation(c_op, self)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1718, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
ai_drive works just fine for other models like glm and Ann but has errors when ran from cnn trained models.
the error is:
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder' with dtype float
[[Node: Placeholder = Placeholderdtype=DT_FLOAT, shape=, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
i think the error lies here.
in glm and ann:
x = tf.placeholder(tf.float32, shape=[None, 240, 320, 3], name='x')
y_ = tf.placeholder(tf.float32, shape=[None, 3], name='y_')
x_shaped = tf.reshape(x, [-1, 240 * 320 * 3])
but in cnn:
x = tf.placeholder(tf.float32, shape=[None, 240, 320, 3], name='x')
y_ = tf.placeholder(tf.float32, shape=[None, 3], name='y_')
why do you only reshape for glm and ann.
full error in console:
2018-07-21 11:39:54.144693: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
2018-07-21 11:40:04.581812: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
2018-07-21 11:40:14.998577: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
2018-07-21 11:40:25.908618: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
2018-07-21 11:40:25.908639: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
2018-07-21 11:40:25.908857: W tensorflow/core/framework/allocator.cc:101] Allocation of 629145600 exceeds 10% of system memory.
Exception in thread Prediction thread:
Traceback (most recent call last):
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1322, in _do_call
return fn(*args)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1307, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1409, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder' with dtype float
[[Node: Placeholder = Placeholderdtype=DT_FLOAT, shape=, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/lib/python3.6/threading.py", line 916, in _bootstrap_inner
self.run()
File "/usr/lib/python3.6/threading.py", line 864, in run
self._target(*self._args, **self._kwargs)
File "/home/the_pradeep/PycharmProjects/untitled/CommandCenter.py", line 113, in predict_from_queue
command_index = self.prediction.eval(feed_dict={self.x: normalized_images}, session=self.sess)[0]
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 710, in eval
return _eval_using_default_session(self, feed_dict, self.graph, session)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 5180, in _eval_using_default_session
return session.run(tensors, feed_dict)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 900, in run
run_metadata_ptr)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1135, in _run
feed_dict_tensor, options, run_metadata)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1316, in _do_run
run_metadata)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1335, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder' with dtype float
[[Node: Placeholder = Placeholderdtype=DT_FLOAT, shape=, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
Caused by op 'Placeholder', defined at:
File "/home/the_pradeep/PycharmProjects/untitled/ai_drive.py", line 18, in
command_center = CommandCenter(checkpoint_dir_path=checkpoint_dir_path, ip=ip)
File "/home/the_pradeep/PycharmProjects/untitled/CommandCenter.py", line 32, in init
saver = tf.train.import_meta_graph(checkpoint_dir_path + "/" + graph_name + ".meta")
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1955, in import_meta_graph
**kwargs)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/meta_graph.py", line 743, in import_scoped_meta_graph
producer_op_list=producer_op_list)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 432, in new_func
return func(*args, **kwargs)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 513, in import_graph_def
_ProcessNewOps(graph)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 303, in _ProcessNewOps
for new_op in graph._add_new_tf_operations(compute_devices=False): # pylint: disable=protected-access
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3540, in _add_new_tf_operations
for c_op in c_api_util.new_tf_operations(self)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3540, in
for c_op in c_api_util.new_tf_operations(self)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3428, in _create_op_from_tf_operation
ret = Operation(c_op, self)
File "/home/the_pradeep/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1718, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Placeholder' with dtype float
[[Node: Placeholder = Placeholderdtype=DT_FLOAT, shape=, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
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