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Flappy-Birdプロジェクト（https://github.com/yanpanlau/Keras-FlappyBird）をクローズしました。これはreinforcement learningです。私は、依存関係をインストールしたのですが、私は（python qlearn.py -m "Run"）、それを実行したときに、私は次のエラー受信：デフォルトではPython Keras ValueError NeuralNetwork FlappyBirdゲーム
/usr/local/lib/python2.7/dist-packages/skimage/viewer/__init__.py:6: UserWarning: Viewer requires Qt
warn('Viewer requires Qt')
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
libpng warning: iCCP: known incorrect sRGB profile
Using TensorFlow backend.
Now we build the model
We finish building the model
Now we load weight
Traceback (most recent call last):
File "qlearn.py", line 198, in <module>
main()
File "qlearn.py", line 195, in main
playGame(args)
File "qlearn.py", line 189, in playGame
trainNetwork(model,args)
File "qlearn.py", line 85, in trainNetwork
model.load_weights("model.h5")
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2701, in load_weights
self.load_weights_from_hdf5_group(f)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2787, in load_weights_from_hdf5_group
K.batch_set_value(weight_value_tuples)
File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 1544, in batch_set_value
assign_op = x.assign(assign_placeholder)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variables.py", line 575, in assign
return state_ops.assign(self._variable, value, use_locking=use_locking)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_state_ops.py", line 47, in assign
use_locking=use_locking, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 759, in apply_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2242, in create_op
set_shapes_for_outputs(ret)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1617, in set_shapes_for_outputs
shapes = shape_func(op)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1568, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
debug_python_shape_fn, require_shape_fn)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 675, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimension 0 in both shapes must be equal, but are 8 and 32 for 'Assign' (op: 'Assign') with input shapes: [8,8,80,32], [32,4,8,8].
を、Kerasは、バックエンドとしてtensorflowを使用しています、ので、多分偶然にの順序は、このエラーを意味することができますが、私はcouldnそれを把握していない。