checkpoint files while generating image

[markphilip2018]

when run command --> python generate_images.py --model_path=Data/Models/latest_model_flowers_temp.ckpt --n_images=8

using a Pre-trained Models.
I got this error :
`2018-02-01 05:17:12.967163: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX
Traceback (most recent call last):
File "generate_images.py", line 109, in
main()
File "generate_images.py", line 70, in main
saver.restore(sess, args.model_path)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1686, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 895, in run
run_metadata_ptr)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1128, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1344, in _do_run
options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1363, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Tensor name "d_bn1/moving_variance" not found in checkpoint files Data/Models/latest_model_flowers_temp.ckpt
[[Node: save/RestoreV2_3 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_3/tensor_names, save/RestoreV2_3/shape_and_slices)]]

Caused by op u'save/RestoreV2_3', defined at:
File "generate_images.py", line 109, in
main()
File "generate_images.py", line 68, in main
saver = tf.train.Saver()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1239, in init
self.build()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1248, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1284, in _build
build_save=build_save, build_restore=build_restore)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 765, in _build_internal
restore_sequentially, reshape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 428, in _AddRestoreOps
tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 268, in restore_op
[spec.tensor.dtype])[0])
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_io_ops.py", line 1031, in restore_v2
shape_and_slices=shape_and_slices, dtypes=dtypes, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 3160, in create_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1625, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

NotFoundError (see above for traceback): Tensor name "d_bn1/moving_variance" not found in checkpoint files Data/Models/latest_model_flowers_temp.ckpt
[[Node: save/RestoreV2_3 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_3/tensor_names, save/RestoreV2_3/shape_and_slices)]]`

My os : ubuntu 16.04
TF : 1.5

[HassanAzzam]

Same here!

[HassanAzzam]

I think we must download some files with latest_model_flowers_temp.ckpt like checkpoint, .meta or .index, maybe.. I'm just guessing.

[rajmphasis]

Hi guys, I tried reproducing results from this repo. Following are the variables that got created for mean and varaince.
(<tf.Tensor 'g_bn0_1/g_bn0/moments/Squeeze:0' shape=(512,) dtype=float32>, <tf.Tensor 'g_bn0_1/g_bn0/moments/Squeeze_1:0' shape=(512,) dtype=float32>) (<tf.Tensor 'g_bn1_1/g_bn1/moments/Squeeze:0' shape=(256,) dtype=float32>, <tf.Tensor 'g_bn1_1/g_bn1/moments/Squeeze_1:0' shape=(256,) dtype=float32>) (<tf.Tensor 'g_bn2_1/g_bn2/moments/Squeeze:0' shape=(128,) dtype=float32>, <tf.Tensor 'g_bn2_1/g_bn2/moments/Squeeze_1:0' shape=(128,) dtype=float32>) (<tf.Tensor 'g_bn3_1/g_bn3/moments/Squeeze:0' shape=(64,) dtype=float32>, <tf.Tensor 'g_bn3_1/g_bn3/moments/Squeeze_1:0' shape=(64,) dtype=float32>) (<tf.Tensor 'd_bn1_1/d_bn1/moments/Squeeze:0' shape=(128,) dtype=float32>, <tf.Tensor 'd_bn1_1/d_bn1/moments/Squeeze_1:0' shape=(128,) dtype=float32>) (<tf.Tensor 'd_bn2_1/d_bn2/moments/Squeeze:0' shape=(256,) dtype=float32>, <tf.Tensor 'd_bn2_1/d_bn2/moments/Squeeze_1:0' shape=(256,) dtype=float32>) (<tf.Tensor 'd_bn3_1/d_bn3/moments/Squeeze:0' shape=(512,) dtype=float32>, <tf.Tensor 'd_bn3_1/d_bn3/moments/Squeeze_1:0' shape=(512,) dtype=float32>) (<tf.Tensor 'd_bn4_1/d_bn4/moments/Squeeze:0' shape=(512,) dtype=float32>, <tf.Tensor 'd_bn4_1/d_bn4/moments/Squeeze_1:0' shape=(512,) dtype=float32>) (<tf.Tensor 'd_bn1_2/d_bn1/moments/Squeeze:0' shape=(128,) dtype=float32>, <tf.Tensor 'd_bn1_2/d_bn1/moments/Squeeze_1:0' shape=(128,) dtype=float32>) (<tf.Tensor 'd_bn2_2/d_bn2/moments/Squeeze:0' shape=(256,) dtype=float32>, <tf.Tensor 'd_bn2_2/d_bn2/moments/Squeeze_1:0' shape=(256,) dtype=float32>) (<tf.Tensor 'd_bn3_2/d_bn3/moments/Squeeze:0' shape=(512,) dtype=float32>, <tf.Tensor 'd_bn3_2/d_bn3/moments/Squeeze_1:0' shape=(512,) dtype=float32>) (<tf.Tensor 'd_bn4_2/d_bn4/moments/Squeeze:0' shape=(512,) dtype=float32>, <tf.Tensor 'd_bn4_2/d_bn4/moments/Squeeze_1:0' shape=(512,) dtype=float32>) (<tf.Tensor 'd_bn1_3/d_bn1/moments/Squeeze:0' shape=(128,) dtype=float32>, <tf.Tensor 'd_bn1_3/d_bn1/moments/Squeeze_1:0' shape=(128,) dtype=float32>) (<tf.Tensor 'd_bn2_3/d_bn2/moments/Squeeze:0' shape=(256,) dtype=float32>, <tf.Tensor 'd_bn2_3/d_bn2/moments/Squeeze_1:0' shape=(256,) dtype=float32>) (<tf.Tensor 'd_bn3_3/d_bn3/moments/Squeeze:0' shape=(512,) dtype=float32>, <tf.Tensor 'd_bn3_3/d_bn3/moments/Squeeze_1:0' shape=(512,) dtype=float32>) (<tf.Tensor 'd_bn4_3/d_bn4/moments/Squeeze:0' shape=(512,) dtype=float32>, <tf.Tensor 'd_bn4_3/d_bn4/moments/Squeeze_1:0' shape=(512,) dtype=float32>)

I am getting this error:
Tensor name "d_bn1/d_bn1_1/d_bn1/moments/Squeeze/ExponentialMovingAverage" not found in checkpoint files Data/Models/latest_model_flowers_temp.ckpt

As I can see, "d_bn1_1/d_bn1/moments/Squeeze/ExponentialMovingAverage" is already available, but this is not available in checkpoint file.

Kindly let me know where I am going wrong.

Tensorflow : 1.6

[zhaojw219]

Is there a solution already?

[RohanBolusani]

Is there a solution already?

hey did you find any solution??