我在MNIST数据集的tensorflow中使用GAN方法。我想用GAN标记生成样本。但是，训练GAN时出错。
这是代码。
for j in range(10000):
print(j)
sample_label = []
input_Z_label= []
X_batch = []
for i in range(10):
sample_label.append([])
input_Z_label.append([])
X_batch.append([])
input_Z = random_Z(500, dim_Z)
length_label = []
samples = sess.run(sample_gen, feed_dict={Z: input_Z})
pred_vals = sess.run(prob_pre, feed_dict={X_ : samples})
pred_labels = []
for i in range(500):
pred_labels.append(np.argmax(pred_vals[i]))
for i in range(500):
for j in range(10):
if pred_labels[i] == j:
sample_label[j].append(samples[i])
input_Z_label[j].append(input_Z[i])
for i in range (10):
length_label.append(len(sample_label[i]))
for j in range(length_label[i]):
X_batch[i].append(random.choice(label[i]))
for i in range(10):
if length_label[i] == 0:
continue
elif length_label[i] != 0:
sess.run([solver_dis2[i], loss_dis2[i]], feed_dict={X2: (X_batch[i]), Z: (input_Z_label[i])})
sess.run([solver_gen2[i], loss_gen2[i]], feed_dict={Z: (input_Z_label[i])})
这是错误代码。
InvalidArgumentError Traceback (most recent call last)
/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1326 try:
-> 1327 return fn(*args)
1328 except errors.OpError as e:
/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1305 feed_dict, fetch_list, target_list,
-> 1306 status, run_metadata)
1307
/home/shr/anaconda3/lib/python3.5/contextlib.py in __exit__(self, type, value, traceback)
65 try:
---> 66 next(self.gen)
67 except StopIteration:
/home/shr/anaconda3/lib/python3.5/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: slice index 6 of dimension 0 out of bounds.
[[Node: strided_slice_36 = StridedSlice[Index=DT_INT32, T=DT_FLOAT, begin_mask=0, ellipsis_mask=0, end_mask=0, new_axis_mask=0, shrink_axis_mask=1, _device="/job:localhost/replica:0/task:0/gpu:0"](add_9, strided_slice_36/stack, strided_slice_36/stack_1, strided_slice_36/stack_2)]]
[[Node: add_19/_333 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_578_add_19", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
in（） 39继续 40 elif length_label [i]！= 0： ---＆GT; 41 sess.run（[solver_dis2 [i]，loss_dis2 [i]]，feed_dict = {X2：（X_batch [i]），Z：（input_Z_label [i]）}） 42 sess.run（[solver_gen2 [i]，loss_gen2 [i]]，feed_dict = {Z：（input_Z_label [i]）}）
/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
893 try:
894 result = self._run(None, fetches, feed_dict, options_ptr,
--> 895 run_metadata_ptr)
896 if run_metadata:
897 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1122 if final_fetches or final_targets or (handle and feed_dict_tensor):
1123 results = self._do_run(handle, final_targets, final_fetches,
-> 1124 feed_dict_tensor, options, run_metadata)
1125 else:
1126 results = []
/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1319 if handle is None:
1320 return self._do_call(_run_fn, self._session, feeds, fetches, targets,
-> 1321 options, run_metadata)
1322 else:
1323 return self._do_call(_prun_fn, self._session, handle, feeds, fetches)
/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1338 except KeyError:
1339 pass
-> 1340 raise type(e)(node_def, op, message)
1341
1342 def _extend_graph(self):
InvalidArgumentError: slice index 6 of dimension 0 out of bounds.
[[Node: strided_slice_36 = StridedSlice[Index=DT_INT32, T=DT_FLOAT, begin_mask=0, ellipsis_mask=0, end_mask=0, new_axis_mask=0, shrink_axis_mask=1, _device="/job:localhost/replica:0/task:0/gpu:0"](add_9, strided_slice_36/stack, strided_slice_36/stack_1, strided_slice_36/stack_2)]]
[[Node: add_19/_333 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_578_add_19", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Caused by op 'strided_slice_36', defined at:
File "/home/shr/anaconda3/lib/python3.5/runpy.py", line 184, in _run_module_as_main
"__main__", mod_spec)
File "/home/shr/anaconda3/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/shr/anaconda3/lib/python3.5/site-packages/ipykernel/__main__.py", line 3, in <module>
app.launch_new_instance()
File "/home/shr/anaconda3/lib/python3.5/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/home/shr/anaconda3/lib/python3.5/site-packages/ipykernel/kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "/home/shr/anaconda3/lib/python3.5/site-packages/zmq/eventloop/ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "/home/shr/anaconda3/lib/python3.5/site-packages/tornado/ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "/home/shr/anaconda3/lib/python3.5/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/home/shr/anaconda3/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/home/shr/anaconda3/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/home/shr/anaconda3/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/home/shr/anaconda3/lib/python3.5/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/home/shr/anaconda3/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 276, in dispatcher
return self.dispatch_shell(stream, msg)
File "/home/shr/anaconda3/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 228, in dispatch_shell
handler(stream, idents, msg)
File "/home/shr/anaconda3/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 390, in execute_request
user_expressions, allow_stdin)
File "/home/shr/anaconda3/lib/python3.5/site-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/home/shr/anaconda3/lib/python3.5/site-packages/ipykernel/zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/home/shr/anaconda3/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/home/shr/anaconda3/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2821, in run_ast_nodes
if self.run_code(code, result):
File "/home/shr/anaconda3/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-25-36b538be529b>", line 5, in <module>
a = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=logit_real_dis2[i], labels=tf.ones_like(logit_real_dis2[i])))
File "/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/array_ops.py", line 509, in _SliceHelper
name=name)
File "/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/array_ops.py", line 677, in strided_slice
shrink_axis_mask=shrink_axis_mask)
File "/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/gen_array_ops.py", line 3744, in strided_slice
shrink_axis_mask=shrink_axis_mask, name=name)
File "/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2630, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/shr/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1204, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): slice index 6 of dimension 0 out of bounds.
[[Node: strided_slice_36 = StridedSlice[Index=DT_INT32, T=DT_FLOAT, begin_mask=0, ellipsis_mask=0, end_mask=0, new_axis_mask=0, shrink_axis_mask=1, _device="/job:localhost/replica:0/task:0/gpu:0"](add_9, strided_slice_36/stack, strided_slice_36/stack_1, strided_slice_36/stack_2)]]
[[Node: add_19/_333 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_578_add_19", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
这个InvalidArgumentError应该引用什么以及出了什么问题？
Best，Wonho