load model error

[AIRobotZhang]

Initialized Tacotron model. Dimensions: embedding: 256 prenet out: 128 encoder out: 256 attention out: 256 concat attn & out: 512 decoder cell out: 256 decoder out (5 frames): 400 decoder out (1 frame): 80 postnet out: 256 linear out: 1025 Loading checkpoint: tacotron-20170720/model.ckpt Traceback (most recent call last): File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1327, in _do_call return fn(*args) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1306, in _run_fn status, run_metadata) File "/home/interns/zhangxinghua/y/lib/python3.6/contextlib.py", line 88, in exit next(self.gen) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status pywrap_tensorflow.TF_GetCode(status)) tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [75,256] rhs shape= [149,256] [[Node: save/Assign_24 = Assign[T=DT_FLOAT, _class=["loc:@model/inference/embedding"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/gpu:0"](model/inference/embedding, save/RestoreV2_24/_495)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "demo_server.py", line 91, in synthesizer.load(args.checkpoint) File "/home/interns/zhangxinghua/tacotron/synthesizer.py", line 25, in load saver.restore(self.session, checkpoint_path) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1560, in restore {self.saver_def.filename_tensor_name: save_path}) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 895, in run run_metadata_ptr) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1124, in _run feed_dict_tensor, options, run_metadata) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1321, in _do_run options, run_metadata) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1340, 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= [75,256] rhs shape= [149,256] [[Node: save/Assign_24 = Assign[T=DT_FLOAT, _class=["loc:@model/inference/embedding"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/gpu:0"](model/inference/embedding, save/RestoreV2_24/_495)]]

Caused by op 'save/Assign_24', defined at: File "demo_server.py", line 91, in synthesizer.load(args.checkpoint) File "/home/interns/zhangxinghua/tacotron/synthesizer.py", line 24, in load saver = tf.train.Saver() File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1140, in init self.build() File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1172, in build filename=self._filename) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 688, in build restore_sequentially, reshape) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 419, in _AddRestoreOps assign_ops.append(saveable.restore(tensors, shapes)) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 155, in restore self.op.get_shape().is_fully_defined()) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/ops/state_ops.py", line 274, in assign validate_shape=validate_shape) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/ops/gen_state_ops.py", line 43, in assign use_locking=use_locking, name=name) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op op_def=op_def) File "/home/interns/zhangxinghua/y/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2630, in create_op original_op=self._default_original_op, op_def=op_def) File "/home/interns/zhangxinghua/y/lib/python3.6/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): Assign requires shapes of both tensors to match. lhs shape= [75,256] rhs shape= [149,256] [[Node: save/Assign_24 = Assign[T=DT_FLOAT, _class=["loc:@model/inference/embedding"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/gpu:0"](model/inference/embedding, save/RestoreV2_24/_495)]]

[AIRobotZhang]

OK，I have solved that problem!