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carpedm20 / lstm-char-cnn-tensorflow

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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]. #26

Open Yaoming95 opened 6 years ago

Yaoming95 commented 6 years ago

After I did some modification following the guides given by https://github.com/carpedm20/lstm-char-cnn-tensorflow/issues/23 and https://github.com/carpedm20/lstm-char-cnn-tensorflow/issues/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 callcell = 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?