데이터를 제대로 feed하지 못하여 발생한 어처구니없는 'InvalidArgumentError'
trainMLP->CrossEntropy->targetClass,predictClass->Layer->inputData
즉, 입력으로 feed해야할 데이터는 inputData, targetClass의 placeholder에 할당되어야 한다.
inputData = tf.placeholder('float')#, shape = (1,numFeatures))
predictClass = tf.placeholder('float')#, shape = (1,numClass))
targetClass = tf.placeholder('float')#, shape = (1,numClass))
print(targetClass)
Tensor("Placeholder_17:0", dtype=float32)
...
Layer = tf.add(tf.matmul(inputData, W), b)
predictClass = tf.nn.softmax(Layer)
crossEntropy = -tf.reduce_sum(targetClass * tf.log(predictClass))
optimizer = tf.train.GradientDescentOptimizer(learning_rate = 0.01)
trainMLP = optimizer.minimize(crossEntropy)
...
while True:
sess.run(trainMLP, feed_dict={inputData: Features, predictClass: Classes})
if (step+1) % 10 == 0:
print(step+1, sess.run(crossEntropy, feed_dict={inputData: Features, predictClass: Classes}))
if step > maxIteration:
break
step += 1
--------------------------------------------------------------------------- InvalidArgumentError Traceback (most recent call last) ~\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args) 1138 try: -> 1139 return fn(*args) 1140 except errors.OpError as e: ~\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\client\session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata) 1120 feed_dict, fetch_list, target_list, -> 1121 status, run_metadata) 1122 ~\Anaconda3\envs\tf35\lib\contextlib.py in __exit__(self, type, value, traceback) 87 try: ---> 88 next(self.gen) 89 except StopIteration: ~\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\framework\errors_impl.py in raise_exception_on_not_ok_status() 465 compat.as_text(pywrap_tensorflow.TF_Message(status)), --> 466 pywrap_tensorflow.TF_GetCode(status)) 467 finally: InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder_17' with dtype float [[Node: Placeholder_17 = Placeholder[dtype=DT_FLOAT, shape=<unknown>, _device="/job:localhost/replica:0/task:0/cpu:0"]()]] During handling of the above exception, another exception occurred: InvalidArgumentError Traceback (most recent call last) <ipython-input-41-a95816e42cf9> in <module>() 1 while True: ----> 2 sess.run(trainMLP, feed_dict={inputData: Features, predictClass: Classes}) 3 if (step+1) % 10 == 0: 4 print(step+1, sess.run(crossEntropy, feed_dict={inputData: Features, targetClass: Classes})) 5 if step > maxIteration: ~\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata) 787 try: 788 result = self._run(None, fetches, feed_dict, options_ptr, --> 789 run_metadata_ptr) 790 if run_metadata: 791 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr) ~\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata) 995 if final_fetches or final_targets: 996 results = self._do_run(handle, final_targets, final_fetches, --> 997 feed_dict_string, options, run_metadata) 998 else: 999 results = [] ~\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata) 1130 if handle is None: 1131 return self._do_call(_run_fn, self._session, feed_dict, fetch_list, -> 1132 target_list, options, run_metadata) 1133 else: 1134 return self._do_call(_prun_fn, self._session, handle, feed_dict, ~\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args) 1150 except KeyError: 1151 pass -> 1152 raise type(e)(node_def, op, message) 1153 1154 def _extend_graph(self): InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder_17' with dtype float [[Node: Placeholder_17 = Placeholder[dtype=DT_FLOAT, shape=<unknown>, _device="/job:localhost/replica:0/task:0/cpu:0"]()]] Caused by op 'Placeholder_17', defined at: File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\ipykernel_launcher.py", line 16, in <module> app.launch_new_instance() File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance app.start() File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\ipykernel\kernelapp.py", line 477, in start ioloop.IOLoop.instance().start() File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start super(ZMQIOLoop, self).start() File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\tornado\ioloop.py", line 888, in start handler_func(fd_obj, events) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper return fn(*args, **kwargs) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events self._handle_recv() File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv self._run_callback(callback, msg) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback callback(*args, **kwargs) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper return fn(*args, **kwargs) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher return self.dispatch_shell(stream, msg) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\ipykernel\kernelbase.py", line 235, in dispatch_shell handler(stream, idents, msg) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request user_expressions, allow_stdin) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\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\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\ipykernel\zmqshell.py", line 533, in run_cell return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\IPython\core\interactiveshell.py", line 2728, in run_cell interactivity=interactivity, compiler=compiler, result=result) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\IPython\core\interactiveshell.py", line 2850, in run_ast_nodes if self.run_code(code, result): File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\IPython\core\interactiveshell.py", line 2910, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "<ipython-input-32-6f3ef8777c4a>", line 3, in <module> targetClass = tf.placeholder('float')#, shape = (1,numClass)) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\ops\array_ops.py", line 1530, in placeholder return gen_array_ops._placeholder(dtype=dtype, shape=shape, name=name) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 1954, in _placeholder name=name) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 767, in apply_op op_def=op_def) File "C:\Users\Sangjin Cho\Anaconda3\envs\tf35\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\Sangjin Cho\Anaconda3\envs\tf35\lib\site-packages\tensorflow\python\framework\ops.py", line 1269, in __init__ self._traceback = _extract_stack() InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Placeholder_17' with dtype float [[Node: Placeholder_17 = Placeholder[dtype=DT_FLOAT, shape=<unknown>, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
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