I am trying to run this code on my own dataset of greyscale images (sample attached).
I replaced the images in facade/train and set input_c_dim=1, output_c_dim=1
But I get the following error message below. I suspect it has something to do with the greyscale because at the bottom of the error message it says "Assign requires shapes of both tensors to match. lhs shape= [1] rhs shape= [3]"
Any ideas?
It works when I run it on the original dataset by the way (with input_c_dim=3, output_c_dim=3)
Thanks,
Maria
~/git/pix2pix-tensorflow$ python main.py --phase train
[*] Reading checkpoint...
Traceback (most recent call last):
File "main.py", line 58, in
tf.app.run()
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "main.py", line 53, in main
model.train(args)
File "/home/hiro/git/pix2pix-tensorflow/model.py", line 150, in train
if self.load(self.checkpoint_dir):
File "/home/hiro/git/pix2pix-tensorflow/model.py", line 388, in load
self.saver.restore(self.sess, os.path.join(checkpoint_dir, ckpt_name))
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1802, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 900, in run
run_metadata_ptr)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1135, in _run
feed_dict_tensor, options, run_metadata)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1316, in _do_run
run_metadata)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1335, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [1] rhs shape= [3]
[[Node: save/Assign_92 = Assign[T=DT_FLOAT, _class=["loc:@generator/g_d8/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](generator/g_d8/biases, save/RestoreV2:92)]]
Caused by op u'save/Assign_92', defined at:
File "main.py", line 58, in
tf.app.run()
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "main.py", line 50, in main
checkpoint_dir=args.checkpoint_dir, sample_dir=args.sample_dir)
File "/home/hiro/git/pix2pix-tensorflow/model.py", line 67, in init
self.build_model()
File "/home/hiro/git/pix2pix-tensorflow/model.py", line 109, in build_model
self.saver = tf.train.Saver()
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1338, in init
self.build()
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1347, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1384, in _build
build_save=build_save, build_restore=build_restore)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 835, in _build_internal
restore_sequentially, reshape)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 494, in _AddRestoreOps
assign_ops.append(saveable.restore(saveable_tensors, shapes))
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 185, in restore
self.op.get_shape().is_fully_defined())
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/state_ops.py", line 283, in assign
validate_shape=validate_shape)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_state_ops.py", line 60, in assign
use_locking=use_locking, name=name)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op
op_def=op_def)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1718, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [1] rhs shape= [3]
[[Node: save/Assign_92 = Assign[T=DT_FLOAT, _class=["loc:@generator/g_d8/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](generator/g_d8/biases, save/RestoreV2:92)]]
Hi,
I am trying to run this code on my own dataset of greyscale images (sample attached). I replaced the images in facade/train and set input_c_dim=1, output_c_dim=1
But I get the following error message below. I suspect it has something to do with the greyscale because at the bottom of the error message it says "Assign requires shapes of both tensors to match. lhs shape= [1] rhs shape= [3]"
Any ideas?
It works when I run it on the original dataset by the way (with input_c_dim=3, output_c_dim=3)
Thanks, Maria
~/git/pix2pix-tensorflow$ python main.py --phase train [*] Reading checkpoint... Traceback (most recent call last): File "main.py", line 58, in
tf.app.run()
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "main.py", line 53, in main
model.train(args)
File "/home/hiro/git/pix2pix-tensorflow/model.py", line 150, in train
if self.load(self.checkpoint_dir):
File "/home/hiro/git/pix2pix-tensorflow/model.py", line 388, in load
self.saver.restore(self.sess, os.path.join(checkpoint_dir, ckpt_name))
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1802, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 900, in run
run_metadata_ptr)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1135, in _run
feed_dict_tensor, options, run_metadata)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1316, in _do_run
run_metadata)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1335, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [1] rhs shape= [3]
[[Node: save/Assign_92 = Assign[T=DT_FLOAT, _class=["loc:@generator/g_d8/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](generator/g_d8/biases, save/RestoreV2:92)]]
Caused by op u'save/Assign_92', defined at: File "main.py", line 58, in
tf.app.run()
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "main.py", line 50, in main
checkpoint_dir=args.checkpoint_dir, sample_dir=args.sample_dir)
File "/home/hiro/git/pix2pix-tensorflow/model.py", line 67, in init
self.build_model()
File "/home/hiro/git/pix2pix-tensorflow/model.py", line 109, in build_model
self.saver = tf.train.Saver()
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1338, in init
self.build()
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1347, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1384, in _build
build_save=build_save, build_restore=build_restore)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 835, in _build_internal
restore_sequentially, reshape)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 494, in _AddRestoreOps
assign_ops.append(saveable.restore(saveable_tensors, shapes))
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 185, in restore
self.op.get_shape().is_fully_defined())
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/state_ops.py", line 283, in assign
validate_shape=validate_shape)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_state_ops.py", line 60, in assign
use_locking=use_locking, name=name)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op
op_def=op_def)
File "/home/hiro/git/pix2pix-tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1718, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [1] rhs shape= [3] [[Node: save/Assign_92 = Assign[T=DT_FLOAT, _class=["loc:@generator/g_d8/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](generator/g_d8/biases, save/RestoreV2:92)]]