line 596 in call_cpp_shape_fn ValueError（err.message）ValueError：1から3を引いた負の次元サイズ

Question

例でKerasを習得しようとしていて、このコードがKaggleで見つかりました。 TensorFlowバックエンドを使用してKerasでこの作業を行うにはどうすればよいですか？

mona@pascal:~/computer_vision/kaggle_distracted_driver$ python run_keras_simple.py 
/usr/local/lib/python2.7/dist-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20. 
    "This module will be removed in 0.20.", DeprecationWarning) 
Using TensorFlow backend. 
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcublas.so.8.0 locally 
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcudnn.so.5.0 locally 
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcufft.so.8.0 locally 
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcuda.so.1 locally 
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcurand.so.8.0 locally 
Read train images 
Load folder c0 
Load folder c1 
Load folder c2 
Load folder c3 
Load folder c4 
Load folder c5 
Load folder c6 
Load folder c7 
Load folder c8 
Load folder c9 
Directory doesnt exists 
('Train shape:', (0, 1, 96, 128)) 
(0, 'train samples') 
('Split train: ', 0) 
('Split valid: ', 0) 
('Split holdout: ', 0) 
Traceback (most recent call last): 
    File "run_keras_simple.py", line 189, in <module> 
    input_shape=(1, img_rows, img_cols))) 
    File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 294, in add 
    layer.create_input_layer(batch_input_shape, input_dtype) 
    File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 398, in create_input_layer 
    self(x) 
    File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 569, in __call__ 
    self.add_inbound_node(inbound_layers, node_indices, tensor_indices) 
    File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 632, in add_inbound_node 
    Node.create_node(self, inbound_layers, node_indices, tensor_indices) 
    File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 164, in create_node 
    output_tensors = to_list(outbound_layer.call(input_tensors[0], mask=input_masks[0])) 
    File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 442, in call 
    filter_shape=self.W_shape) 
    File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 2206, in conv2d 
    x = tf.nn.conv2d(x, kernel, strides, padding=padding) 
    File "/home/mona/tensorflow/_python_build/tensorflow/python/ops/gen_nn_ops.py", line 394, in conv2d 
    data_format=data_format, name=name) 
    File "/home/mona/tensorflow/_python_build/tensorflow/python/framework/op_def_library.py", line 749, in apply_op 
    op_def=op_def) 
    File "/home/mona/tensorflow/_python_build/tensorflow/python/framework/ops.py", line 2390, in create_op 
    set_shapes_for_outputs(ret) 
    File "/home/mona/tensorflow/_python_build/tensorflow/python/framework/ops.py", line 1785, in set_shapes_for_outputs 
    shapes = shape_func(op) 
    File "/home/mona/tensorflow/_python_build/tensorflow/python/framework/common_shapes.py", line 596, in call_cpp_shape_fn 
    raise ValueError(err.message) 
ValueError: Negative dimension size caused by subtracting 3 from 1 

Answer 1

あなたの問題はここにある：

input_shape=(1, img_rows, img_cols) 

この入力形状はtheano形式であり、Tensorflowにチャンネル寸法が最後になります。

input_shape=(img_rows, img_cols, 1) 

し、また、入力データ（電車と検証が）形状タプルの最後にチャンネル寸法と、同じ形式であることを確認してください：あなたはに入力形状を変更する必要があります。