Closed cybert79 closed 6 years ago
when you change to other VM (other Metasploit version), you don't use old trained file (your Deep Exploit's path/trained_data/*
).
because, if number of payloads changes, structure of neural network changes within the Deep Exploit.
this is my important task. i'll upcoming improve.
This is on another VM (VMWorkstation) Kali linux, I get this error
Traceback (most recent call last): File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1322, in _do_call return fn(*args) File "/home/drwho/.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/drwho/.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: Assign requires shapes of both tensors to match. lhs shape= [200,539] rhs shape= [200,504] [[Node: save/Assign_9 = Assign[T=DT_FLOAT, _class=["loc:@local_thread1/dense_9/kernel"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](local_thread1/dense_9/kernel, save/RestoreV2:9)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "DeepExploit.py", line 1994, in
saver.restore(SESS, env.save_file)
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1802, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 900, in run
run_metadata_ptr)
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1135, in _run
feed_dict_tensor, options, run_metadata)
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1316, in _do_run
run_metadata)
File "/home/drwho/.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: Assign requires shapes of both tensors to match. lhs shape= [200,539] rhs shape= [200,504]
[[Node: save/Assign_9 = Assign[T=DT_FLOAT, _class=["loc:@local_thread1/dense_9/kernel"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](local_thread1/dense_9/kernel, save/RestoreV2:9)]]
Caused by op 'save/Assign_9', defined at: File "DeepExploit.py", line 1971, in
saver = tf.train.Saver()
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1338, in init
self.build()
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1347, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1384, in _build
build_save=build_save, build_restore=build_restore)
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 835, in _build_internal
restore_sequentially, reshape)
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 494, in _AddRestoreOps
assign_ops.append(saveable.restore(saveable_tensors, shapes))
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 185, in restore
self.op.get_shape().is_fully_defined())
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/ops/state_ops.py", line 283, in assign
validate_shape=validate_shape)
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/ops/gen_state_ops.py", line 60, in assign
use_locking=use_locking, name=name)
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/drwho/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op
op_def=op_def)
File "/home/drwho/.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): Assign requires shapes of both tensors to match. lhs shape= [200,539] rhs shape= [200,504] [[Node: save/Assign_9 = Assign[T=DT_FLOAT, _class=["loc:@local_thread1/dense_9/kernel"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](local_thread1/dense_9/kernel, save/RestoreV2:9)]]