Describe the bug
I am using tensorflow and tensorflow-compression to train a new model in keras. However, when the code runs to model.fit, the following error occurs:
Epoch 1/100
*** tensorflow.python.framework.errors_impl.FailedPreconditionError: 2 root error(s) found.
(0) FAILED_PRECONDITION: Could not find variable conv1/gdn_0/reparam_gamma. This could mean that the variable has been deleted. In TF1, it can
also mean the variable is uninitialized. Debug info: container=localhost, status error message=Resource localhost/conv1/gdn_0/reparam_gamma/N10tensorflow3VarE does not exist.
[[{{node conv1/gdn_0/gamma/lower_bound_1/ReadVariableOp}}]]
[[loss/mul/_97]]
(1) FAILED_PRECONDITION: Could not find variable conv1/gdn_0/reparam_gamma. This could mean that the variable has been deleted. In TF1, it can
also mean the variable is uninitialized. Debug info: container=localhost, status error message=Resource localhost/conv1/gdn_0/reparam_gamma/N10tensorflow3VarE does not exist.
[[{{node conv1/gdn_0/gamma/lower_bound_1/ReadVariableOp}}]]
0 successful operations.
0 derived errors ignored.
This is my model:
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Conv2D
from tensorflow.keras.layers import LeakyReLU
from tensorflow.keras.layers import Input
from tensorflow_compression import GDN
def my_model:
def __init__(self,input_shape,filter_num):
self.input_shape = input_shape
self.filter_num = filter_num
def create_model(self):
input = Input(shape=self.input_shape, name="input_1")
conv1 = Conv2D(filters=self.filter_num, kernel_size=3, padding="same", name="conv1", activation=GDN(name="gdn_0"))
x = conv1(input)
# layer_gdn = GDN(name="gdn_0")
# x = layer_gdn(x)
output = LeakyReLU(alpha=self.alpha, name="hidden_activation")(x)
model = Model(inputs=input, outputs=output)
if self.training:
opt = keras.optimizers.Adam()
model.compile(
optimizer=opt,
loss=MSELoss,
experimental_run_tf_function=False,
)
return model
Besides, if I remove the activation=GDN(name="gdn_0") or replace it with others, the training goes well, so maybe it is a bug.
What should I do to solve it?
Describe the bug I am using tensorflow and tensorflow-compression to train a new model in keras. However, when the code runs to
model.fit, the following error occurs:This is my model:
Besides, if I remove the
activation=GDN(name="gdn_0")or replace it with others, the training goes well, so maybe it is a bug. What should I do to solve it?Thanks.
System: