ValueError: Negative dimension size caused by subtracting 2 from 1 for 'MaxPool_1' (op: 'MaxPool') w

我在运行keras代码的时候，出现了以下的错误：

Traceback (most recent call last):  File "vgg_feature.py", line 85, in <module>    model = VGG_16('vgg16_weights_th_dim_ordering_th_kernels_notop.h5')  File "vgg_feature.py", line 41, in VGG_16    model.add(MaxPooling2D((2, 2), strides=(2, 2)))  File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 332, in add    output_tensor = layer(self.outputs[0])  File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 572, 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 635, 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 166, 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/pooling.py", line 160, in call    dim_ordering=self.dim_ordering)  File "/usr/local/lib/python2.7/dist-packages/keras/layers/pooling.py", line 210, in _pooling_function    pool_mode='max')  File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 2866, in pool2d    x = tf.nn.max_pool(x, pool_size, strides, padding=padding)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/nn_ops.py", line 1958, in max_pool    name=name)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 2806, in _max_pool    data_format=data_format, name=name)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper    op_def=op_def)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2958, in create_op    set_shapes_for_outputs(ret)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2209, in set_shapes_for_outputs    shapes = shape_func(op)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2159, 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 627, in call_cpp_shape_fn    require_shape_fn)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 691, in _call_cpp_shape_fn_impl    raise ValueError(err.message)ValueError: Negative dimension size caused by subtracting 2 from 1 for 'MaxPool_1' (op: 'MaxPool') with input shapes: [?,1,112,128].idc@idc-Hi-Fi-Z77X:~/Downloads/Experiments/IJCAI2017$ rzidc@idc-Hi-Fi-Z77X:~/Downloads/Experiments/IJCAI2017$ python vgg_feature.py ../ijcai2017_multimodal_hashtag_data/test.txt Train_feat.h error_log data/testUsing TensorFlow backend.../ijcai2017_multimodal_hashtag_data/test.txtTrain_feat.hTraceback (most recent call last):  File "vgg_feature.py", line 85, in <module>    model = VGG_16('vgg16_weights_th_dim_ordering_th_kernels_notop.h5')  File "vgg_feature.py", line 41, in VGG_16    model.add(MaxPooling2D((2, 2), strides=(2, 2)))  File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 332, in add    output_tensor = layer(self.outputs[0])  File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 572, 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 635, 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 166, 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/pooling.py", line 160, in call    dim_ordering=self.dim_ordering)  File "/usr/local/lib/python2.7/dist-packages/keras/layers/pooling.py", line 210, in _pooling_function    pool_mode='max')  File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 2866, in pool2d    x = tf.nn.max_pool(x, pool_size, strides, padding=padding)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/nn_ops.py", line 1958, in max_pool    name=name)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 2806, in _max_pool    data_format=data_format, name=name)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper    op_def=op_def)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2958, in create_op    set_shapes_for_outputs(ret)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2209, in set_shapes_for_outputs    shapes = shape_func(op)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2159, 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 627, in call_cpp_shape_fn    require_shape_fn)  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 691, in _call_cpp_shape_fn_impl    raise ValueError(err.message)ValueError: Negative dimension size caused by subtracting 2 from 1 for 'MaxPool_1' (op: 'MaxPool') with input shapes: [?,1,112,128].

我的keras版本是keras 1.2.2， theano

解决办法是直接在python代码里面加入：

from keras import backend as KK.set_image_dim_ordering('th')

然后就不报错了。

参考文献

[1].Keras MaxPooling2D gives ValueError: Negative dimension size caused by subtracting 2 from 1 for 'MaxPool_x'.https://github.com/fchollet/keras/issues/3945