我是 tensorflow 和 tflearn 的新手，在训练模型时遇到此错误。
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"]()]]
这是我的偏好代码。
X = np.array([i[0] for i in train]).reshape(-1, IMG_SIZE, IMG_SIZE, 1)
Y = np.array([i[1] for i in train])
test_x = np.array([i[0] for i in test]).reshape(-1, IMG_SIZE, IMG_SIZE, 1)
test_y = np.array([i[1] for i in test])
其中 train 和 test 是 numpy 数组，第一个元素作为图像，第二个元素作为标签。我正在尝试通过这条线来拟合我的模型。
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)
这是我得到的完整错误:
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"]()]]
最佳答案
添加 dtype=np.float32(或 float64) 以将类型声明为 float。
X = np.array([i[0] for i in train], dtype=np.float32 ).reshape(-1, IMG_SIZE, IMG_SIZE, 1)
Y = np.array([i[1] for i in train], dtype=np.float32 )
test_x = np.array([i[0] for i in test], dtype=np.float32 ).reshape(-1, IMG_SIZE, IMG_SIZE, 1)
test_y = np.array([i[1] for i in test], dtype=np.float32 )
关于python-2.7 - 无效参数错误 : You must feed a value for placeholder tensor 'input_1/X' with dtype float，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/43817501/