Train error (different shapes)

[efyphil]

Thanks for work, can you please help me with this issue During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "evaluation.py", line 325, in main() File "evaluation.py", line 276, in main pr_file = create_prediction_file(dataset, dataset_dir) File "evaluation.py", line 189, in create_prediction_file saver.restore(session,os.path.join(weights_dir,'snapshot-250000')) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1666, in restore {self.saver_def.filename_tensor_name: save_path}) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 889, in run run_metadata_ptr) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1120, in _run feed_dict_tensor, options, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1317, in _do_run options, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1336, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [128] rhs shape= [96] [[Node: save/Assign_22 = Assign[T=DT_FLOAT, _class=["loc:@netDM1/conv3y/bias"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](netDM1/conv3y/bias, save/RestoreV2_22)]]

Caused by op 'save/Assign_22', defined at: File "evaluation.py", line 325, in main() File "evaluation.py", line 276, in main pr_file = create_prediction_file(dataset, dataset_dir) File "evaluation.py", line 188, in create_prediction_file saver = tf.train.Saver() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1218, in init self.build() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1227, 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 1263, in _build build_save=build_save, build_restore=build_restore) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 751, in _build_internal restore_sequentially, reshape) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 439, in _AddRestoreOps assign_ops.append(saveable.restore(tensors, shapes)) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 160, in restore self.op.get_shape().is_fully_defined()) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/state_ops.py", line 276, in assign validate_shape=validate_shape) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_state_ops.py", line 57, 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 2956, in create_op op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1470, 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= [128] rhs shape= [96] [[Node: save/Assign_22 = Assign[T=DT_FLOAT, _class=["loc:@netDM1/conv3y/bias"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](netDM1/conv3y/bias, save/RestoreV2_22)]]

[ryanhyc2]

May I ask whether anyone solved this problem? I've created my own RGB-D data set and successfully trained on it but am running into this error.

[ryanhyc2]

For anyone curious, the answer was using example_v2.py and supplying the checkpoint.