Closed adamluo1995 closed 7 years ago
You may need to change image_dim_ordering
to th
instead of tf
Keras backend mentions two ways to achieve it.
It works ! Thank you theFool32 !There are still some other problems but i can handle them:)
Could you either post the errors or close the issue?
I had the same issue. Adding "image_dim_ordering": "th"
to ~/.keras/keras.json
fixed it!
Hi , i am a student who have a lot interesting in Deep Learning. I try to run mnist_gan.py in project but trigger an assertion in keras/layers/core.py. here is the details:
Traceback (most recent call last): File "/home/hadoop/GAN_test/KerasGAN/mnist_gan.py", line 113, in
gan_V = discriminator(H)
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/engine/topology.py", line 2240, in call
output_tensors, output_masks, output_shapes = self.run_internal_graph(inputs, masks)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2413, in run_internal_graph
shapes = to_list(layer.get_output_shape_for(computed_tensors[0]._keras_shape))
File "/usr/local/lib/python2.7/dist-packages/keras/layers/core.py", line 775, in get_output_shape_for
assert input_shape[-1] and input_shape[-1] == self.input_dim
AssertionError
Would you tell me how can i fix it? Thanks:)