ValueError: Dimensions must be equal, but are 1300 and 1750 for 'LSTMTDNN/LSTM/rnn/rnn/multi_rnn_cell/cell_0/cell_0/basic_lstm_cell/MatMul_1' (op: 'MatMul') with input shapes: [100,1300], [1750,2600].

[Yaoming95]

After I did some modification following the guides given by
#23 and #20,
there is still some errors when running the program.

Traceback (most recent call last):
File "/home/ymzhu/pycharm-2017.2.3/helpers/pydev/pydevd.py", line 1599, in
globals = debugger.run(setup['file'], None, None, is_module)
File "/home/ymzhu/pycharm-2017.2.3/helpers/pydev/pydevd.py", line 1026, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "/home/ymzhu/Desktop/code/lstm-char-cnn-tensorflow/main.py", line 66, in
tf.app.run()
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(sys.argv[:1] + flags_passthrough))
File "/home/ymzhu/Desktop/code/lstm-char-cnn-tensorflow/main.py", line 57, in main
data_dir=FLAGS.data_dir)
File "/home/ymzhu/Desktop/code/lstm-char-cnn-tensorflow/models/LSTMTDNN.py", line 87, in init
self.prepare_model()
File "/home/ymzhu/Desktop/code/lstm-char-cnn-tensorflow/models/LSTMTDNN.py", line 155, in prepare_model
dtype=tf.float32)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/rnn.py", line 1253, in static_rnn
(output, state) = call_cell()
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/rnn.py", line 1240, in
call_cell = lambda: cell(input, state)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 183, in call
return super(RNNCell, self).call(inputs, state)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/layers/base.py", line 575, in call
outputs = self.call(inputs, *args, **kwargs)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 1066, in call
cur_inp, new_state = cell(cur_inp, cur_state)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 183, in call
return super(RNNCell, self).call(inputs, state)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/layers/base.py", line 575, in call
outputs = self.call(inputs, *args, **kwargs)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 441, in call
value=self._linear([inputs, h]), num_or_size_splits=4, axis=1)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/rnn_cell_impl.py", line 1189, in call
res = math_ops.matmul(array_ops.concat(args, 1), self._weights)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/math_ops.py", line 1891, in matmul
a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/ops/gen_math_ops.py", line 2437, in _mat_mul
name=name)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2958, in create_op
set_shapes_for_outputs(ret)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2209, in set_shapes_for_outputs
shapes = shape_func(op)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2159, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 627, in call_cpp_shape_fn
require_shape_fn)
File "/home/ymzhu/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 691, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimensions must be equal, but are 1300 and 1750 for 'LSTMTDNN/LSTM/rnn/rnn/multi_rnn_cell/cell_0/cell_0/basic_lstm_cell/MatMul_1' (op: 'MatMul') with input shapes: [100,1300], [1750,2600].

Why did this happen? Could anyone help?