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Je suis nouveau sur tensorflow et tflearn et j'obtiens cette erreur lors de l'apprentissage du modèle.InvalidArgumentError: Vous devez alimenter une valeur pour le tenseur d'espace réservé 'input_1/X' avec dtype float
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input_1/X' with dtype float
[[Node: input_1/X = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Voici mon code de préférence. Où train et test sont des tableaux numpy ayant un premier élément comme image et un second élément comme étiquette. J'essaye d'adapter mon modèle par cette ligne.
model.fit({'input': X}, {'targets': Y}, n_epoch=5, validation_set=({'input': test_x}, {'targets': test_y}), snapshot_step=500, show_metric=True, run_id=MODEL_NAME)
Ceci est l'erreur complète que je reçois:
InvalidArgumentError Traceback (most recent call last)
<ipython-input-34-cf830d06009d> in <module>()
----> 1 model.fit({'input': X}, {'targets': Y}, n_epoch=5, validation_set=({'input': test_x}, {'targets': test_y}), snapshot_step=500, show_metric=True, run_id=MODEL_NAME)
/usr/local/lib/python2.7/dist-packages/tflearn/models/dnn.pyc in fit(self, X_inputs, Y_targets, n_epoch, validation_set, show_metric, batch_size, shuffle, snapshot_epoch, snapshot_step, excl_trainops, validation_batch_size, run_id, callbacks)
213 excl_trainops=excl_trainops,
214 run_id=run_id,
--> 215 callbacks=callbacks)
216
217 def predict(self, X):
/usr/local/lib/python2.7/dist-packages/tflearn/helpers/trainer.pyc in fit(self, feed_dicts, n_epoch, val_feed_dicts, show_metric, snapshot_step, snapshot_epoch, shuffle_all, dprep_dict, daug_dict, excl_trainops, run_id, callbacks)
331 (bool(self.best_checkpoint_path) | snapshot_epoch),
332 snapshot_step,
--> 333 show_metric)
334
335 # Update training state
/usr/local/lib/python2.7/dist-packages/tflearn/helpers/trainer.pyc in _train(self, training_step, snapshot_epoch, snapshot_step, show_metric)
772 tflearn.is_training(True, session=self.session)
773 _, train_summ_str = self.session.run([self.train, self.summ_op],
--> 774 feed_batch)
775
776 # Retrieve loss value from summary string
/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in run(self, fetches, feed_dict, options, run_metadata)
776 try:
777 result = self._run(None, fetches, feed_dict, options_ptr,
--> 778 run_metadata_ptr)
779 if run_metadata:
780 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _run(self, handle, fetches, feed_dict, options, run_metadata)
980 if final_fetches or final_targets:
981 results = self._do_run(handle, final_targets, final_fetches,
--> 982 feed_dict_string, options, run_metadata)
983 else:
984 results = []
/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1030 if handle is None:
1031 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1032 target_list, options, run_metadata)
1033 else:
1034 return self._do_call(_prun_fn, self._session, handle, feed_dict,
/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_call(self, fn, *args)
1050 except KeyError:
1051 pass
-> 1052 raise type(e)(node_def, op, message)
1053
1054 def _extend_graph(self):
InvalidArgumentError: You must feed a value for placeholder tensor 'input_1/X' with dtype float
[[Node: input_1/X = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Caused by op u'input_1/X', defined at:
File "<string>", line 1, in <module>
File "/usr/lib/python2.7/dist-packages/IPython/kernel/zmq/kernelapp.py", line 469, in main
app.start()
File "/usr/lib/python2.7/dist-packages/IPython/kernel/zmq/kernelapp.py", line 459, in start
ioloop.IOLoop.instance().start()
File "/usr/lib/python2.7/dist-packages/zmq/eventloop/ioloop.py", line 162, in start
super(ZMQIOLoop, self).start()
File "/usr/lib/python2.7/dist-packages/tornado/ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "/usr/lib/python2.7/dist-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/usr/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/usr/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/usr/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/usr/lib/python2.7/dist-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/usr/lib/python2.7/dist-packages/IPython/kernel/zmq/ipkernel.py", line 281, in dispatcher
return self.dispatch_shell(stream, msg)
File "/usr/lib/python2.7/dist-packages/IPython/kernel/zmq/ipkernel.py", line 245, in dispatch_shell
handler(stream, idents, msg)
File "/usr/lib/python2.7/dist-packages/IPython/kernel/zmq/ipkernel.py", line 389, in execute_request
shell.run_cell(code, store_history=store_history, silent=silent)
File "/usr/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2741, in run_cell
interactivity=interactivity, compiler=compiler)
File "/usr/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2827, in run_ast_nodes
if self.run_code(code):
File "/usr/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2883, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-14-fe1453e052a7>", line 6, in <module>
convnet = input_data(shape=[None, IMG_SIZE, IMG_SIZE, 1], name='input')
File "/usr/local/lib/python2.7/dist-packages/tflearn/layers/core.py", line 81, in input_data
placeholder = tf.placeholder(shape=shape, dtype=dtype, name="X")
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1507, in placeholder
name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1997, in _placeholder
name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2336, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1228, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input_1/X' with dtype float
[[Node: input_1/X = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]