大写字母后报错，图片格式仍为100*60，新模型训练

[reporter-law]

求大佬指定：
报错内容

-->使用测试集为 sample/train/
-->使验证集为 sample/test/

Start model test
input batch images shape: (100, 6000)
input batch labels shape: (100, 372)
input x: Tensor("Reshape:0", shape=(?, 60, 100, 1), dtype=float32)
Instructions for updating:
Use the retry module or similar alternatives.
convolution 3: (?, 8, 13, 128)
input batch predict shape: (?, 372)
End model test
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1327, in _do_call
return fn(*args)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py", line 516, in exit
c_api.TF_GetCode(self.status.status))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train_model.py", line 276, in
main()
File "train_model.py", line 271, in main
tm.train_cnn() # 开始训练模型
File "train_model.py", line 165, in train_cnn
saver.restore(sess, self.model_save_dir)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1775, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 905, in run
run_metadata_ptr)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1140, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1321, in _do_run
run_metadata)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1340, in _do_call
raise type(e)(node_def, op, message)

Caused by op 'save/Assign_14', defined at:
File "train_model.py", line 271, in main
tm.train_cnn() # 开始训练模型
File "train_model.py", line 158, in train_cnn
saver = tf.train.Saver()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1311, in init
self.build()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1320, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1357, in _build
build_save=build_save, build_restore=build_restore)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 809, in _build_internal
restore_sequentially, reshape)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 470, in _AddRestoreOps
assign_ops.append(saveable.restore(saveable_tensors, shapes))
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 162, in restore
self.op.get_shape().is_fully_defined())
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/state_ops.py", line 281, in assign
validate_shape=validate_shape)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_state_ops.py", line 61, in assign
use_locking=use_locking, name=name)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 3290, in create_op
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1654, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [372] rhs shape= [216]
[[Node: save/Assign_14 = Assign[T=DT_FLOAT, _class=["loc:@Variable_4"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Variable_4/Adam_1, save/RestoreV2:14)]]

[EvilCY]

解决了么