How to setup logging for cloud ml-engine during serving/inference
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After loading a checkpoint; I have exported the model and then copied the saved_model.pb file and all the variables to GCS bucket.
During inference/serving, I get this error:
{
"error": "Prediction failed: Error during model execution: AbortionError(code=StatusCode.FAILED_PRECONDITION, details="Attempting to use uninitialized value shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/biasnt [[Node: shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias/read = Identity[T=DT_FLOAT, _output_shapes=[[2048]], _device="/job:localhost/replica:0/task:0/device:CPU:0"](shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias)]]")"
}
Please suggest me how to setup the logging at test/inference time in cloud ml-engine.
tensorflow tensorflow-serving stackdriver google-cloud-stackdriver
edited Nov 10 at 5:49
spicyramen
3,16023367
asked Aug 28 at 18:39
Giri Bhushan Ch
62
add a comment |
up vote
1
down vote
favorite
After loading a checkpoint; I have exported the model and then copied the saved_model.pb file and all the variables to GCS bucket.
During inference/serving, I get this error:
{
"error": "Prediction failed: Error during model execution: AbortionError(code=StatusCode.FAILED_PRECONDITION, details="Attempting to use uninitialized value shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/biasnt [[Node: shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias/read = Identity[T=DT_FLOAT, _output_shapes=[[2048]], _device="/job:localhost/replica:0/task:0/device:CPU:0"](shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias)]]")"
}
Please suggest me how to setup the logging at test/inference time in cloud ml-engine.
tensorflow tensorflow-serving stackdriver google-cloud-stackdriver
edited Nov 10 at 5:49
spicyramen
3,16023367
asked Aug 28 at 18:39
Giri Bhushan Ch
62
1. What is your TF version. 2. What method did you use to export and save your model during training? 3. Are you usingtf.global_variables_initializer()?
– spicyramen
Nov 11 at 5:51
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
After loading a checkpoint; I have exported the model and then copied the saved_model.pb file and all the variables to GCS bucket.
During inference/serving, I get this error:
{
"error": "Prediction failed: Error during model execution: AbortionError(code=StatusCode.FAILED_PRECONDITION, details="Attempting to use uninitialized value shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/biasnt [[Node: shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias/read = Identity[T=DT_FLOAT, _output_shapes=[[2048]], _device="/job:localhost/replica:0/task:0/device:CPU:0"](shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias)]]")"
}
Please suggest me how to setup the logging at test/inference time in cloud ml-engine.
tensorflow tensorflow-serving stackdriver google-cloud-stackdriver
edited Nov 10 at 5:49
spicyramen
3,16023367
asked Aug 28 at 18:39
Giri Bhushan Ch
62
After loading a checkpoint; I have exported the model and then copied the saved_model.pb file and all the variables to GCS bucket.
During inference/serving, I get this error:
{
"error": "Prediction failed: Error during model execution: AbortionError(code=StatusCode.FAILED_PRECONDITION, details="Attempting to use uninitialized value shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/biasnt [[Node: shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias/read = Identity[T=DT_FLOAT, _output_shapes=[[2048]], _device="/job:localhost/replica:0/task:0/device:CPU:0"](shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/basic_lstm_cell/bias)]]")"
}
Please suggest me how to setup the logging at test/inference time in cloud ml-engine.
tensorflow tensorflow-serving stackdriver google-cloud-stackdriver
tensorflow tensorflow-serving stackdriver google-cloud-stackdriver
edited Nov 10 at 5:49
spicyramen
3,16023367
asked Aug 28 at 18:39
Giri Bhushan Ch
62
edited Nov 10 at 5:49
spicyramen
3,16023367
asked Aug 28 at 18:39
Giri Bhushan Ch
62
edited Nov 10 at 5:49
spicyramen
3,16023367
edited Nov 10 at 5:49
spicyramen
3,16023367
edited Nov 10 at 5:49
spicyramen
3,16023367
3,16023367
asked Aug 28 at 18:39
Giri Bhushan Ch
62
asked Aug 28 at 18:39
Giri Bhushan Ch
62
asked Aug 28 at 18:39
Giri Bhushan Ch
62
62
1. What is your TF version. 2. What method did you use to export and save your model during training? 3. Are you usingtf.global_variables_initializer()?
– spicyramen
Nov 11 at 5:51
add a comment |
1. What is your TF version. 2. What method did you use to export and save your model during training? 3. Are you usingtf.global_variables_initializer()?
– spicyramen
Nov 11 at 5:51
1. What is your TF version. 2. What method did you use to export and save your model during training? 3. Are you using
tf.global_variables_initializer()?– spicyramen
Nov 11 at 5:51
1. What is your TF version. 2. What method did you use to export and save your model during training? 3. Are you using
tf.global_variables_initializer()?– spicyramen
Nov 11 at 5:51
add a comment |
1 Answer
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If you've set up a GCP project, you can write messages to the log using the StackDriver Logging API. Then you can access log messages from the command line (gcloud logging) or from the developer console.
answered Aug 28 at 19:52
MatthewScarpino
1,713511
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
If you've set up a GCP project, you can write messages to the log using the StackDriver Logging API. Then you can access log messages from the command line (gcloud logging) or from the developer console.
answered Aug 28 at 19:52
MatthewScarpino
1,713511
add a comment |
up vote
1
down vote
If you've set up a GCP project, you can write messages to the log using the StackDriver Logging API. Then you can access log messages from the command line (gcloud logging) or from the developer console.
answered Aug 28 at 19:52
MatthewScarpino
1,713511
add a comment |
up vote
1
down vote
up vote
1
down vote
If you've set up a GCP project, you can write messages to the log using the StackDriver Logging API. Then you can access log messages from the command line (gcloud logging) or from the developer console.
answered Aug 28 at 19:52
MatthewScarpino
1,713511
If you've set up a GCP project, you can write messages to the log using the StackDriver Logging API. Then you can access log messages from the command line (gcloud logging) or from the developer console.
answered Aug 28 at 19:52
MatthewScarpino
1,713511
answered Aug 28 at 19:52
MatthewScarpino
1,713511
answered Aug 28 at 19:52
MatthewScarpino
1,713511
answered Aug 28 at 19:52
MatthewScarpino
1,713511
1,713511
add a comment |
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1. What is your TF version. 2. What method did you use to export and save your model during training? 3. Are you using
tf.global_variables_initializer()?– spicyramen
Nov 11 at 5:51