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paarthneekhara / text-to-image

Text to image synthesis using thought vectors
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Error: d_bn1/d_bn1_2/moments/Squeeze/ExponentialMovingAverage/ does not exist #42

Open 314rated opened 6 years ago

314rated commented 6 years ago

On running generate_images script, following are errors received. Could be please suggest a fix for this? Thanks

==================================================== python generate_images.py --model_path=Data/Models/latest_model_flowers_temp.ckpt --n_images=8

Traceback (most recent call last): File "generate_images.py", line 106, in main() File "generateimages.py", line 64, in main , , , , = gan.build_model() File "repo/model.py", line 40, in build_model disc_wrong_image, disc_wrong_image_logits = self.discriminator(t_wrong_image, t_real_caption, reuse = True) File "repo/model.py", line 161, in discriminator h1 = ops.lrelu( self.d_bn1(ops.conv2d(h0, self.options['df_dim']*2, name = 'd_h1_conv'))) #16 File "repo/Utils/ops.py", line 34, in call ema_apply_op = self.ema.apply([batch_mean, batch_var]) File "path/anaconda3/envs/py27/lib/python2.7/site-packages/tensorflow/python/training/moving_averages.py", line 403, in apply colocate_with_primary=(var.op.type in ["Variable", "VariableV2"])) File "path/anaconda3/envs/py27/lib/python2.7/site-packages/tensorflow/python/training/slot_creator.py", line 174, in create_zeros_slot colocate_with_primary=colocate_with_primary) File "path/anaconda3/envs/py27/lib/python2.7/site-packages/tensorflow/python/training/slot_creator.py", line 151, in create_slot_with_initializer dtype) File "path/anaconda3/envs/py27/lib/python2.7/site-packages/tensorflow/python/training/slot_creator.py", line 67, in _create_slot_var validate_shape=validate_shape) File "path/anaconda3/envs/py27/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 1297, in get_variable constraint=constraint) File "path/anaconda3/envs/py27/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 1093, in get_variable constraint=constraint) File "path/anaconda3/envs/py27/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 439, in get_variable constraint=constraint) File "path/anaconda3/envs/py27/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 408, in _true_getter use_resource=use_resource, constraint=constraint) File "path/anaconda3/envs/py27/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 765, in _get_single_variable "reuse=tf.AUTO_REUSE in VarScope?" % name) ValueError: Variable d_bn1/d_bn1_2/moments/Squeeze/ExponentialMovingAverage/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?

namrathadeepthi commented 6 years ago

I am struggling with the same error, is there any fix?

ravindra82 commented 6 years ago

Try adding the below line before ema.apply in ops.py with tf.variable_scope(tf.get_variable_scope(), reuse=tf.AUTO_REUSE):

This resolved this error for me.

Wentong-DST commented 6 years ago

I'm using TensorFlow v0.12. This works for me: add with tf.variable_scope(tf.get_variable_scope(), reuse=False): before ema.apply

gentlebreeze1 commented 5 years ago

where should with tf.variable_scope(tf.get_variable_scope(), reuse=tf.AUTO_REUSE): add? before ema_apply_op = self.ema.apply([batch_mean, batch_var])? but it does not work. @ravindra82

gentlebreeze1 commented 5 years ago

i use with tf.variable_scope(tf.get_variable_scope(), reuse=False): replace with tf.variable_scope(self.name,reuse=tf.AUTO_REUSE) as scope: in ops.py. but i get ValueError: Trying to share variable beta, but specified shape (256,) and found shape (512,). what is wrong?

gentlebreeze1 commented 5 years ago

i use with tf.variable_scope(tf.get_variable_scope(), reuse=False): replace with tf.variable_scope(self.name,reuse=tf.AUTO_REUSE) as scope: in ops.py. but i get ValueError: Trying to share variable beta, but specified shape (256,) and found shape (512,). what is wrong? @ravindra82

anastasiagkou commented 5 years ago

@gentlebreeze1 did you find solution ? because i have the same problem.

remyavijeesh22 commented 5 years ago

i use with tf.variable_scope(self.name,reuse=tf.AUTO_REUSE) as scope: in ops.py. but an occured like this

WARNING:tensorflow:From /home/hp/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. Traceback (most recent call last): File "train.py", line 238, in main() File "train.py", line 76, in main input_tensors, variables, loss, outputs, checks = gan.build_model() File "/home/hp/Gan_project_main/text_image_gan/model.py", line 43, in build_model g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(disc_fake_image_logits, tf.ones_like(disc_fake_image))) File "/home/hp/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/nn_impl.py", line 157, in sigmoid_cross_entropy_with_logits labels, logits) File "/home/hp/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/nn_ops.py", line 2315, in _ensure_xent_args "named arguments (labels=..., logits=..., ...)" % name) ValueError: Only call sigmoid_cross_entropy_with_logits with named arguments (labels=..., logits=..., ...) how can i solve this pls reply as soon as possible

siddas27 commented 5 years ago

@remyavijeesh22 Use g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits = disc_fake_image_logits, labels = tf.ones_like(disc_fake_image))) instead of g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(disc_fake_image_logits, tf.ones_like(disc_fake_image)))

kckenneth commented 5 years ago

@remyavijeesh22 Use g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits = disc_fake_image_logits, labels = tf.ones_like(disc_fake_image))) instead of g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(disc_fake_image_logits, tf.ones_like(disc_fake_image)))

I changed that. The error then goes on to show that d_loss1 bla bla bla, so I added logits= and labels= the same style in g_loss. I made changes for d_loss2 and d_loss3 as well.

When I run $ python2 generate_images.py --model_path=Data/Models/latest_model_flowers_temp.ckpt --n_images=8

Another error 

Tensor name "d_bn1_1/moments/Squeeze/ExponentialMovingAverage" not found in checkpoint files Data/Models/latest_model_flowers_temp.ckpt
     [[node save/RestoreV2 (defined at generate_images.py:66) ]]

Any suggestion?

urushi3 commented 5 years ago

I tried all of the above. Then you will see the following error. Could be please suggest a fix for this?

===================================================================Traceback (most recent call last): File "train.py", line 238, in main() File "train.py", line 78, in main d_optim = tf.train.AdamOptimizer(args.learning_rate, beta1 = args.beta1).minimize(loss['d_loss'], var_list=variables['d_vars']) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\optimizer.py", line 413, in minimize name=name) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\optimizer.py", line 597, in apply_gradients self._create_slots(var_list) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\adam.py", line 131, in _create_slots self._zeros_slot(v, "m", self._name) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\optimizer.py", line 1155, in _zeros_slot new_slot_variable = slot_creator.create_zeros_slot(var, op_name) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\slot_creator.py", line 190, in create_zeros_slot colocate_with_primary=colocate_with_primary) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\slot_creator.py", line 164, in create_slot_with_initializer dtype) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\slot_creator.py", line 74, in _create_slot_var validate_shape=validate_shape) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 1496, in get_variable aggregation=aggregation) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 1239, in get_variable aggregation=aggregation) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 562, in get_variable aggregation=aggregation) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 514, in _true_getter aggregation=aggregation) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 882, in _get_single_variable "reuse=tf.AUTO_REUSE in VarScope?" % name) ValueError: Variable d_h0_conv/w/Adam/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?

silverlilin commented 5 years ago

I tried all of the above. Then you will see the following error. Could be please suggest a fix for this?

===================================================================Traceback (most recent call last): File "train.py", line 238, in main() File "train.py", line 78, in main d_optim = tf.train.AdamOptimizer(args.learning_rate, beta1 = args.beta1).minimize(loss['d_loss'], var_list=variables['d_vars']) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\optimizer.py", line 413, in minimize name=name) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\optimizer.py", line 597, in apply_gradients self._create_slots(var_list) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\adam.py", line 131, in _create_slots self._zeros_slot(v, "m", self._name) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\optimizer.py", line 1155, in _zeros_slot new_slot_variable = slot_creator.create_zeros_slot(var, op_name) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\slot_creator.py", line 190, in create_zeros_slot colocate_with_primary=colocate_with_primary) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\slot_creator.py", line 164, in create_slot_with_initializer dtype) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\training\slot_creator.py", line 74, in _create_slot_var validate_shape=validate_shape) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 1496, in get_variable aggregation=aggregation) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 1239, in get_variable aggregation=aggregation) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 562, in get_variable aggregation=aggregation) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 514, in _true_getter aggregation=aggregation) File "C:\Users\c0116\Anaconda3\envs\py36\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 882, in _get_single_variable "reuse=tf.AUTO_REUSE in VarScope?" % name) ValueError: Variable d_h0_conv/w/Adam/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?

did you solve this problem? i also meet the same error that i have no way to solve it, can you give me some suggestion?

18398639574 commented 4 years ago

@remyavijeesh22 Use g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits = disc_fake_image_logits, labels = tf.ones_like(disc_fake_image))) instead of g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(disc_fake_image_logits, tf.ones_like(disc_fake_image)))

I changed that. The error then goes on to show that d_loss1 bla bla bla, so I added logits= and labels= the same style in g_loss. I made changes for d_loss2 and d_loss3 as well.

When I run $ python2 generate_images.py --model_path=Data/Models/latest_model_flowers_temp.ckpt --n_images=8

Another error

Tensor name "d_bn1_1/moments/Squeeze/ExponentialMovingAverage" not found in checkpoint files Data/Models/latest_model_flowers_temp.ckpt
   [[node save/RestoreV2 (defined at generate_images.py:66) ]]

Any suggestion?

hello,have you solved this problem?

RohanBolusani commented 4 years ago

@remyavijeesh22 Use g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits = disc_fake_image_logits, labels = tf.ones_like(disc_fake_image))) instead of g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(disc_fake_image_logits, tf.ones_like(disc_fake_image)))

I changed that. The error then goes on to show that d_loss1 bla bla bla, so I added logits= and labels= the same style in g_loss. I made changes for d_loss2 and d_loss3 as well. When I run $ python2 generate_images.py --model_path=Data/Models/latest_model_flowers_temp.ckpt --n_images=8 Another error

Tensor name "d_bn1_1/moments/Squeeze/ExponentialMovingAverage" not found in checkpoint files Data/Models/latest_model_flowers_temp.ckpt
     [[node save/RestoreV2 (defined at generate_images.py:66) ]]

Any suggestion?

hello,have you solved this problem?

hey were you able to fix this?

liumarcus70s commented 4 years ago

same problem T_T