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私は、マルチラベルの写真セットにcloudml-samples/flowers /のチュートリアルコードを適用しようとしています。環境はGoogle Cloud Shellです。 "前処理"はすべての訓練と評価セットを終了しました。トレーニングタスクを開始したときにエラーが発生しました。複数ラベルの写真分類のためのtf.parse_example.features
私はtrainer.taskをpythonで呼び出し、以下のエラーメッセージを返します。 gcloud beta mlコマンドを実行するなどのログ情報（一般的な情報のみ）があれば教えてください。
ありがとうございます。
python -m trainer.task \
--output_path gs://yelp_restaurant_photo_classification/yelp_restaurant_photo_classification/training \
--eval_data_paths gs://yelp_restaurant_photo_classification/yelp_restaurant_photo_classification/preproc/eval* \
--train_data_paths gs://yelp_restaurant_photo_classification/yelp_restaurant_photo_classification/preproc/train*
INFO:root:Original job data: {}
INFO:root:setting eval batch size to 100
INFO:tensorflow:global_step/sec: 0
INFO:tensorflow:global_step/sec: 0
W tensorflow/core/framework/op_kernel.cc:968] Invalid argument: Name: <unknown>, Key: label, Index: 0. Number of int64 values != expected. Values size: 5 but output shape: [1]
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors.InvalidArgumentError'>, Name: <unknown>, Key: label, Index: 0. Number of int64 values != expected. Values size: 5 but output shape: [1]
[[Node: inputs/ParseExample/ParseExample = ParseExample[Ndense=3, Nsparse=0, Tdense=[DT_FLOAT, DT_STRING, DT_INT64], dense_shapes=[[2048], [], [1]], sparse_types=[], _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch:1, inputs/ParseExample/ParseExample/names, inputs/ParseExample/ParseExample/dense_keys_0, inputs/ParseExample/ParseExample/dense_keys_1, inputs/ParseExample/ParseExample/dense_keys_2, inputs/ParseExample/Const, inputs/ParseExample/Reshape, inputs/ParseExample/Reshape_1)]]
Caused by op u'inputs/ParseExample/ParseExample', defined at:
File "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main
"__main__", fname, loader, pkg_name)
File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 559, in <module>
tf.app.run()
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 322, in main
run(model, argv)
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 453, in run
dispatch(args, model, cluster, task)
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 494, in dispatch
Trainer(args, model, cluster, task).run_training()
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 193, in run_training
self.args.batch_size)
File "trainer/model.py", line 278, in build_train_graph
return self.build_graph(data_paths, batch_size, GraphMod.TRAIN)
File "trainer/model.py", line 232, in build_graph
parsed = tf.parse_example(tensors.examples, features=feature_map)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/ops/parsing_ops.py", line 307, in parse_example
dense_types, dense_defaults, dense_shapes, name)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/ops/parsing_ops.py", line 405, in _parse_example_raw
name=name)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/ops/gen_parsing_ops.py", line 165, in _parse_example
dense_shapes=dense_shapes, name=name)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 749, in apply_op
op_def=op_def)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2380, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1298, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Name: <unknown>, Key: label, Index: 0. Number of int64 values != expected. Values size: 5 but output shape: [1]
[[Node: inputs/ParseExample/ParseExample = ParseExample[Ndense=3, Nsparse=0, Tdense=[DT_FLOAT, DT_STRING, DT_INT64], dense_shapes=[[2048], [], [1]], sparse_types=[], _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch:1, inputs/ParseExample/ParseExample/names, inputs/ParseExample/ParseExample/dense_keys_0, inputs/ParseExample/ParseExample/dense_keys_1, inputs/ParseExample/ParseExample/dense_keys_2, inputs/ParseExample/Const, inputs/ParseExample/Reshape, inputs/ParseExample/Reshape_1)]]
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors.InvalidArgumentError'>, Name: <unknown>, Key: label, Index: 0. Number of int64 values != expected. Values size: 5 but output shape: [1]
[[Node: inputs/ParseExample/ParseExample = ParseExample[Ndense=3, Nsparse=0, Tdense=[DT_FLOAT, DT_STRING, DT_INT64], dense_shapes=[[2048], [], [1]], sparse_types=[], _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch:1, inputs/ParseExample/ParseExample/names, inputs/ParseExample/ParseExample/dense_keys_0, inputs/ParseExample/ParseExample/dense_keys_1, inputs/ParseExample/ParseExample/dense_keys_2, inputs/ParseExample/Const, inputs/ParseExample/Reshape, inputs/ParseExample/Reshape_1)]]
Caused by op u'inputs/ParseExample/ParseExample', defined at:
File "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main
"__main__", fname, loader, pkg_name)
File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 559, in <module>
tf.app.run()
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 322, in main
run(model, argv)
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 453, in run
dispatch(args, model, cluster, task)
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 494, in dispatch
Trainer(args, model, cluster, task).run_training()
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 193, in run_training
self.args.batch_size)
File "trainer/model.py", line 278, in build_train_graph
return self.build_graph(data_paths, batch_size, GraphMod.TRAIN)
File "trainer/model.py", line 232, in build_graph
parsed = tf.parse_example(tensors.examples, features=feature_map)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/ops/parsing_ops.py", line 307, in parse_example
dense_types, dense_defaults, dense_shapes, name)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/ops/parsing_ops.py", line 405, in _parse_example_raw
name=name)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/ops/gen_parsing_ops.py", line 165, in _parse_example
dense_shapes=dense_shapes, name=name)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 749, in apply_op
op_def=op_def)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2380, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1298, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Name: <unknown>, Key: label, Index: 0. Number of int64 values != expected. Values size: 5 but output shape: [1]
[[Node: inputs/ParseExample/ParseExample = ParseExample[Ndense=3, Nsparse=0, Tdense=[DT_FLOAT, DT_STRING, DT_INT64], dense_shapes=[[2048], [], [1]], sparse_types=[], _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch:1, inputs/ParseExample/ParseExample/names, inputs/ParseExample/ParseExample/dense_keys_0, inputs/ParseExample/ParseExample/dense_keys_1, inputs/ParseExample/ParseExample/dense_keys_2, inputs/ParseExample/Const, inputs/ParseExample/Reshape, inputs/ParseExample/Reshape_1)]]
Traceback (most recent call last):
File "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main
"__main__", fname, loader, pkg_name)
File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 559, in <module>
tf.app.run()
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 322, in main
run(model, argv)
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 453, in run
dispatch(args, model, cluster, task)
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 494, in dispatch
Trainer(args, model, cluster, task).run_training()
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 245, in run_training
self.global_step = session.run(to_run)[0]
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 717, in run
run_metadata_ptr)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 915, in _run
feed_dict_string, options, run_metadata)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 965, in _do_run
target_list, options, run_metadata)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 985, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors.InvalidArgumentError: Name: <unknown>, Key: label, Index: 0. Number of int64 values != expected. Values size: 5 but output shape: [1]
[[Node: inputs/ParseExample/ParseExample = ParseExample[Ndense=3, Nsparse=0, Tdense=[DT_FLOAT, DT_STRING, DT_INT64], dense_shapes=[[2048], [], [1]], sparse_types=[], _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch:1, inputs/ParseExample/ParseExample/names, inputs/ParseExample/ParseExample/dense_keys_0, inputs/ParseExample/ParseExample/dense_keys_1, inputs/ParseExample/ParseExample/dense_keys_2, inputs/ParseExample/Const, inputs/ParseExample/Reshape, inputs/ParseExample/Reshape_1)]]
Caused by op u'inputs/ParseExample/ParseExample', defined at:
File "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main
"__main__", fname, loader, pkg_name)
File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 559, in <module>
tf.app.run()
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 322, in main
run(model, argv)
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 453, in run
dispatch(args, model, cluster, task)
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 494, in dispatch
Trainer(args, model, cluster, task).run_training()
File "/home/slalomconsultingsf/git/cloudml-samples/yelp_restaurant_photo_classification/trainer/task.py", line 193, in run_training
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors.InvalidArgumentError'>, Name: <unknown>, Key: label, Index:
self.args.batch_size)
File "trainer/model.py", line 278, in build_train_graph
return self.build_graph(data_paths, batch_size, GraphMod.TRAIN)
File "trainer/model.py", line 232, in build_graph
parsed = tf.parse_example(tensors.examples, features=feature_map)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/ops/parsing_ops.py", line 307, in parse_example
dense_types, dense_defaults, dense_shapes, name)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/ops/parsing_ops.py", line 405, in _parse_example_raw
name=name)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/ops/gen_parsing_ops.py", line 165, in _parse_example
dense_shapes=dense_shapes, name=name)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 749, in apply_op
op_def=op_def)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2380, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/slalomconsultingsf/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1298, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Name: <unknown>, Key: label, Index: 0. Number of int64 values != expected. Values size: 5 but outpu
t shape: [1]
[[Node: inputs/ParseExample/ParseExample = ParseExample[Ndense=3, Nsparse=0, Tdense=[DT_FLOAT, DT_STRING, DT_INT64], dense_shapes=[[2048], [
], [1]], sparse_types=[], _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch:1, inputs/ParseExample/ParseExample/names, inputs/ParseExamp
le/ParseExample/dense_keys_0, inputs/ParseExample/ParseExample/dense_keys_1, inputs/ParseExample/ParseExample/dense_keys_2, inputs/ParseExample/Const
, inputs/ParseExample/Reshape, inputs/ParseExample/Reshape_1)]]