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Es gibt eine in-detaillierte Post auf keras blog.
Aber wenn Sie den Code kompiliert ich die Fehler wie folgt:
wenn ich dim_ordering='th' gesetzt Dieser Fehler gehtVisualisierung der Eingänge zu Faltung neuronalen Netzen mit Keras und Tensorflow als Backend
Using TensorFlow backend.
Traceback (most recent call last):
File "visulaize_cifar.py", line 24, in <module>
model.add(MaxPooling2D((2, 2), strides=(2, 2)))
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/keras/models.py", line 332, in add
output_tensor = layer(self.outputs[0])
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/keras/engine/topology.py", line 572, in __call__
self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/keras/engine/topology.py", line 635, in add_inbound_node
Node.create_node(self, inbound_layers, node_indices, tensor_indices)
File "/home/dude_perf3ct/.local/lib/python2.7/site-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 "/home/dude_perf3ct/.local/lib/python2.7/site-packages/keras/layers/pooling.py", line 160, in call
dim_ordering=self.dim_ordering)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/keras/layers/pooling.py", line 210, in _pooling_function
pool_mode='max')
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 2866, in pool2d
x = tf.nn.max_pool(x, pool_size, strides, padding=padding)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 1617, in max_pool
name=name)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 1598, in _max_pool
data_format=data_format, name=name)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 759, in apply_op
op_def=op_def)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2242, in create_op
set_shapes_for_outputs(ret)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1617, in set_shapes_for_outputs
shapes = shape_func(op)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1568, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
debug_python_shape_fn, require_shape_fn)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 675, 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: [1,1,64,128].
.
Aber wie ich Tensorflow Backend verwende, so sollte Dimension Bestellung dim_ordering='tf' sein.
Auch nach dim_ordering als 'th' Einstellung, ich Fehler beim loading weights von vgg16_weights.h5 wie folgt:
Traceback (most recent call last):
File "visulaize_cifar.py", line 67, in <module>
model.layers[k].set_weights(weights)
File "/home/dude_perf3ct/.local/lib/python2.7/site-packages/keras/engine/topology.py", line 985, in set_weights
'provided weight shape ' + str(w.shape))
ValueError: Layer weight shape (3, 3, 128, 64) not compatible with provided weight shape (64, 3, 3, 3).
Wie detailliert in this post zu 'th' und 'tf'.
Der obige Fehler impliziert, dass Layer-Gewichte in 'tf' sind (aber ich habe ihn auf 'th' gesetzt, um den ersten Fehler zu vermeiden) und die Gewichtsform in der 'Reihenfolge' bereitgestellt.
What seems to be the error?