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