Repository: tensorflow/serving

Issue #266: No versions of servable <model> found under base path
Created: 2016-12-06T00:29:16Z
I'm currently trying to use tensorflow serving to serve a trained "textsum" model. I am using TF 0.11, which after some reading, it seems now automatically calls export_meta_graph which creates the exported files ckpt and ckpt.meta files.
Under the textsum/log_root directory, I have multiple files. One being model.ckpt-230381 and the other model.ckpt-230381.meta.
So it is my understanding that this is the location I should be able to point when trying to setup the model for serving. I have issued the below commands:

bazel build //tensorflow_serving/model_servers:tensorflow_model_server
bazel-bin/tensorflow_serving/model_servers/tensorflow_model_server --port=9000 --model_name=model  --model_base_path=tf_models/textsum/log_root/

It isn't an issue with regards to the relative path as when I first attempted, I did use the wrong path accidentally and got the error: "FileSystemStoragePathSource encountered a file-system access error" because it was an incorrect path. It now finds the valid path but I get the error in the title.
I can't seem t figure out what I am doing wrong here and was wondering if anyone has been running into this issue with any 0.11 models exported or not.  Anyone see what I might be doing wrong?
Upon running the above command I get the below message:

W tensorflow_serving/sources/storage_path/file_system_storage_path_source.cc:204] No versions of servable model found under base path tf_models/textsum/log_root/

Upon running inspect_checkpoint on the checkpoint file I see this:

I tensorflow/stream_executor/dso_loader.cc:111] successfully opened
CUDA library libcublas.so locally I
tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA
library libcudnn.so locally I
tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA
library libcufft.so locally I
tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA
library libcuda.so.1 locally I
tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA
library libcurand.so locally seq2seq/output_projection/w (DT_FLOAT)
[256,335906] seq2seq/output_projection/v (DT_FLOAT) [335906]
seq2seq/encoder3/BiRNN/FW/LSTMCell/B (DT_FLOAT) [1024]
seq2seq/encoder3/BiRNN/BW/LSTMCell/W_0 (DT_FLOAT) [768,1024]
seq2seq/encoder3/BiRNN/BW/LSTMCell/B (DT_FLOAT) [1024]
seq2seq/encoder2/BiRNN/FW/LSTMCell/B (DT_FLOAT) [1024]
seq2seq/decoder/attention_decoder/Linear/Bias (DT_FLOAT) [128]
seq2seq/decoder/attention_decoder/AttnW_0 (DT_FLOAT) [1,1,512,512]
seq2seq/decoder/attention_decoder/AttnV_0 (DT_FLOAT) [512]
seq2seq/encoder0/BiRNN/FW/LSTMCell/W_0 (DT_FLOAT) [384,1024]
seq2seq/decoder/attention_decoder/LSTMCell/W_0 (DT_FLOAT) [384,1024]
seq2seq/encoder1/BiRNN/BW/LSTMCell/W_0 (DT_FLOAT) [768,1024]
global_step (DT_INT32) [] seq2seq/encoder1/BiRNN/BW/LSTMCell/B
(DT_FLOAT) [1024]
seq2seq/decoder/attention_decoder/AttnOutputProjection/Linear/Bias
(DT_FLOAT) [256]
seq2seq/decoder/attention_decoder/Attention_0/Linear/Matrix (DT_FLOAT)
[512,512] seq2seq/decoder/attention_decoder/Attention_0/Linear/Bias
(DT_FLOAT) [512] seq2seq/encoder2/BiRNN/BW/LSTMCell/B (DT_FLOAT)
[1024] seq2seq/decoder/attention_decoder/Linear/Matrix (DT_FLOAT)
[640,128]
seq2seq/decoder/attention_decoder/AttnOutputProjection/Linear/Matrix
(DT_FLOAT) [768,256] seq2seq/embedding/embedding (DT_FLOAT)
[335906,128] seq2seq/encoder0/BiRNN/BW/LSTMCell/B (DT_FLOAT) [1024]
seq2seq/encoder3/BiRNN/FW/LSTMCell/W_0 (DT_FLOAT) [768,1024]
seq2seq/encoder0/BiRNN/BW/LSTMCell/W_0 (DT_FLOAT) [384,1024]
seq2seq/encoder0/BiRNN/FW/LSTMCell/B (DT_FLOAT) [1024]
seq2seq/decoder/attention_decoder/LSTMCell/B (DT_FLOAT) [1024]
seq2seq/encoder1/BiRNN/FW/LSTMCell/B (DT_FLOAT) [1024]
seq2seq/encoder2/BiRNN/FW/LSTMCell/W_0 (DT_FLOAT) [768,1024]
seq2seq/encoder1/BiRNN/FW/LSTMCell/W_0 (DT_FLOAT) [768,1024]
seq2seq/encoder2/BiRNN/BW/LSTMCell/W_0 (DT_FLOAT) [768,1024]

Duplicate issue #1250: version names issue: No versions of servable found under base path
Created: 2019-02-04T11:52:17Z
Hi,
I am trying to build a production environment for our company where we can export keras/pythorch, etc models to savedmodels and deploy them with tensorflow serving.
I faced a problem of No versions of servable testv found under base path s3://
when i check s3 i can find the version. then i tried to export the same model with a diffirent version name which is 1 and it is working.
so any version name like 0.1 or v0.1 wont work. Does anybody has any information about this. How should we name our versions.
Thank you very much

Closing comment (2019-02-04T20:22:41Z): Duplicate of #266
A similar issue is addressed in StackOverflow and here is the link for the same. Please note that any support related questions are to be posted in StackOverflow as we encourage users to post a bug or a feature request here. Thanks !