I get the unexpected error "You must feed a value for placeholder tensor 'input_1' with dtype float" when training the discriminator of a GAN
here the error:
W tensorflow/core/framework/op_kernel.cc:975] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/framework/op_kernel.cc:975] Invalid argument: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
Traceback (most recent call last):
File "new_model.py", line 204, in <module>
main()
File "new_model.py", line 201, in main
train(nb_epoch=10, BATCH_SIZE=5)
File "new_model.py", line 176, in train
d_loss = discriminator.train_on_batch(image_to_dis, label_to_dis)
File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 766, in train_on_batch
class_weight=class_weight)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1320, in train_on_batch
outputs = self.train_function(ins)
File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 1943, in __call__
feed_dict=feed_dict)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 766, in run
run_metadata_ptr)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 964, in _run
feed_dict_string, options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1014, in _do_run
target_list, options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1034, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
[[Node: moments_4/sufficient_statistics/Shape/_217 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_1267_moments_4/sufficient_statistics/Shape", tensor_type=DT_INT32, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Caused by op u'input_1', defined at:
File "new_model.py", line 204, in <module>
main()
File "new_model.py", line 201, in main
train(nb_epoch=10, BATCH_SIZE=5)
File "new_model.py", line 134, in train
transformer0 = transform_model()
File "new_model.py", line 22, in transform_model
inputs = Input(shape=( 128, 128, 3))
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 1198, in Input
input_tensor=tensor)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 1116, in __init__
name=self.name)
File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 321, in placeholder
x = tf.placeholder(dtype, shape=shape, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1587, in placeholder
name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 2043, in _placeholder
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 2240, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1128, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
[[Node: moments_4/sufficient_statistics/Shape/_217 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_1267_moments_4/sufficient_statistics/Shape", tensor_type=DT_INT32, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
it seems the error happens at
d_loss = discriminator.train_on_batch(image_to_dis, label_to_dis)
I'm sure image_to_dis and label_to_dis fit the input of dicriminator however, the error message here
Caused by op u'input_1', defined at:
File "new_model.py", line 204, in <module>
main()
File "new_model.py", line 201, in main
train(nb_epoch=10, BATCH_SIZE=5)
File "new_model.py", line 134, in train
transformer0 = transform_model()
File "new_model.py", line 22, in transform_model
inputs = Input(shape=( 128, 128, 3))
it says the error is caused by the input tensor of 'transformer'(it is the generator in this GAN).
my code contains something like 'transformer_with_discriminator = discriminator(transformer)', but the discriminator is compiled without the transformer. I think training the discriminator has nothing to do with the input of 'transformer0'
the whole script is a little long, may I put the link of my model here?
https://github.com/wkcw/keras-face-attribute/blob/master/model%26train.py
image_to_dis.dtype and label_to_dis.dtype are both float32, and I've tried to convert label_to_dis.dtype to int
I really have no idea about this......
