fangihsiao / infogan-tensorflow Goto Github PK

I m not getting any results,when i run the test module its showing some error

Loading model checkpoint ./exp/InfoGan...
INFO:tensorflow:Restoring parameters from ./exp/InfoGan/infogan.model-36078
I0512 19:17:21.789937 140366779426688 saver.py:1284] Restoring parameters from ./exp/InfoGan/infogan.model-36078
2020-05-12 19:17:22.401451: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Out of range: Read less bytes than requested
Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.OutOfRangeError: 2 root error(s) found.
(0) Out of range: Read less bytes than requested
[[{{node save/RestoreV2}}]]
(1) Out of range: Read less bytes than requested
[[{{node save/RestoreV2}}]]
[[save/RestoreV2/_149]]
0 successful operations.
0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "main.py", line 32, in
tf.app.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "main.py", line 28, in main
model.train() if FLAGS.is_training else model.inference()
File "/content/drive/My Drive/InfoGAN-Tensorflow/model.py", line 179, in inference
self.saver.restore(self.sess, checkpoint)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/saver.py", line 1290, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.OutOfRangeError: 2 root error(s) found.
(0) Out of range: Read less bytes than requested
[[node save/RestoreV2 (defined at /tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]
(1) Out of range: Read less bytes than requested
[[node save/RestoreV2 (defined at /tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]
[[save/RestoreV2/_149]]
0 successful operations.
0 derived errors ignored.

Original stack trace for 'save/RestoreV2':
File "main.py", line 32, in
tf.app.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "main.py", line 26, in main
model = InfoGan(sess, FLAGS)
File "/content/drive/My Drive/InfoGAN-Tensorflow/model.py", line 120, in init
self.saver = tf.train.Saver()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/saver.py", line 828, in init
self.build()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/saver.py", line 840, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/saver.py", line 878, in _build
build_restore=build_restore)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/saver.py", line 508, in _build_internal
restore_sequentially, reshape)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/saver.py", line 328, in _AddRestoreOps
restore_sequentially)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/saver.py", line 575, in bulk_restore
return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/gen_io_ops.py", line 1696, in restore_v2
name=name)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 1748, in init
self._traceback = tf_stack.extract_stack()

Its showing this can u help?

Why do you have three noise placeholders for your network?

I understand that one noise vector is needed for z and the other noise vector for the code c Since the generator is G(z,c). However what is the third noise vector for?

with tf.name_scope('noise_sample'):
            self.z_cat = tf.placeholder(tf.int32, [None])
            self.z_cont = tf.placeholder(tf.float32, [None, args.num_cont])
            self.z_rand = tf.placeholder(tf.float32, [None, args.num_rand])

I don't understand the parameter fix_var, but I see, in the discriminator, q_net, there is a fully connected layer about fix_var, but we didn't train this layer in the training process, so how to load our checkpoint in the test process?
When I tried the test process, it will return some error:
`NotFoundError: Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

2 root error(s) found.
(0) Not found: Key discriminator/q/fully_connected_3/biases not found in checkpoint
[[node save/RestoreV2 (defined at /home/j/Info_GAN/Model.py:86) ]]
(1) Not found: Key discriminator/q/fully_connected_3/biases not found in checkpoint
[[node save/RestoreV2 (defined at /home/j/Info_GAN/Model.py:86) ]]
[[save/RestoreV2/_149]]`