Inference from saved checkpoint in tensorflow eager execution
Hi I am using tesnorflow eager execution for training my model and saving the checkpoint after the epochs finish.
I would like to know how can i use the saved checkpoint for inference with test data.
Is the below method correct:
def restore_model(self):
""" Function to restore trained model.
"""
with tf.device(self.device):
# Run the model once to initialize variables
dummy_input = tf.constant(tf.zeros((1,256,256,3)))
dummy_pred = self.predict(dummy_input, training=False)
# Restore the variables of the model
saver = tfe.Saver(self.variables)
saver.restore(tf.train.latest_checkpoint
(r"C:path-tocheckpoint-foldertrain_chkpt")
self.restore_model()
But i am getting error as :
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:
Key conv2d_90/bias not found in checkpoint [Op:RestoreV2]
how this can be resolved in eager execution tensorflow?
python tensorflow
asked Nov 15 '18 at 5:09
Vishal GhorpadeVishal Ghorpade
457
add a comment |
Hi I am using tesnorflow eager execution for training my model and saving the checkpoint after the epochs finish.
I would like to know how can i use the saved checkpoint for inference with test data.
Is the below method correct:
def restore_model(self):
""" Function to restore trained model.
"""
with tf.device(self.device):
# Run the model once to initialize variables
dummy_input = tf.constant(tf.zeros((1,256,256,3)))
dummy_pred = self.predict(dummy_input, training=False)
# Restore the variables of the model
saver = tfe.Saver(self.variables)
saver.restore(tf.train.latest_checkpoint
(r"C:path-tocheckpoint-foldertrain_chkpt")
self.restore_model()
But i am getting error as :
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:
Key conv2d_90/bias not found in checkpoint [Op:RestoreV2]
how this can be resolved in eager execution tensorflow?
python tensorflow
asked Nov 15 '18 at 5:09
Vishal GhorpadeVishal Ghorpade
457
add a comment |
Hi I am using tesnorflow eager execution for training my model and saving the checkpoint after the epochs finish.
I would like to know how can i use the saved checkpoint for inference with test data.
Is the below method correct:
def restore_model(self):
""" Function to restore trained model.
"""
with tf.device(self.device):
# Run the model once to initialize variables
dummy_input = tf.constant(tf.zeros((1,256,256,3)))
dummy_pred = self.predict(dummy_input, training=False)
# Restore the variables of the model
saver = tfe.Saver(self.variables)
saver.restore(tf.train.latest_checkpoint
(r"C:path-tocheckpoint-foldertrain_chkpt")
self.restore_model()
But i am getting error as :
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:
Key conv2d_90/bias not found in checkpoint [Op:RestoreV2]
how this can be resolved in eager execution tensorflow?
python tensorflow
asked Nov 15 '18 at 5:09
Vishal GhorpadeVishal Ghorpade
457
Hi I am using tesnorflow eager execution for training my model and saving the checkpoint after the epochs finish.
I would like to know how can i use the saved checkpoint for inference with test data.
Is the below method correct:
def restore_model(self):
""" Function to restore trained model.
"""
with tf.device(self.device):
# Run the model once to initialize variables
dummy_input = tf.constant(tf.zeros((1,256,256,3)))
dummy_pred = self.predict(dummy_input, training=False)
# Restore the variables of the model
saver = tfe.Saver(self.variables)
saver.restore(tf.train.latest_checkpoint
(r"C:path-tocheckpoint-foldertrain_chkpt")
self.restore_model()
But i am getting error as :
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:
Key conv2d_90/bias not found in checkpoint [Op:RestoreV2]
how this can be resolved in eager execution tensorflow?
python tensorflow
python tensorflow
asked Nov 15 '18 at 5:09
Vishal GhorpadeVishal Ghorpade
457
asked Nov 15 '18 at 5:09
Vishal GhorpadeVishal Ghorpade
457
asked Nov 15 '18 at 5:09
Vishal GhorpadeVishal Ghorpade
457
asked Nov 15 '18 at 5:09
Vishal GhorpadeVishal Ghorpade
457
asked Nov 15 '18 at 5:09
Vishal GhorpadeVishal Ghorpade
457
457
add a comment |
add a comment |
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