You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
OS Platform and Distribution (e.g., Linux Ubuntu 16.04):Ubuntu 16.04 docker container
TensorFlow installed from (source or binary):
TensorFlow version (use command below):1.3.0
Python version: 3.5.2
Bazel version (if compiling from source):0.5.4
GCC/Compiler version (if compiling from source):5.4.0
CUDA/cuDNN version:NA
GPU model and memory:NA
Exact command to reproduce:
bazel build -c opt --jobs 1 --local_resources 5,2.0,2.0 --verbose_failures tensorflow_serving/...
== cat /etc/issue ===============================================
Linux 25b038d948eb 4.9.49-moby #1 SMP Wed Sep 27 23:17:17 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux
VERSION="16.04.3 LTS (Xenial Xerus)"
VERSION_ID="16.04"
VERSION_CODENAME=xenial
== are we in docker =============================================
Yes
== compiler =====================================================
c++ (Ubuntu 5.4.0-6ubuntu1~16.04.5) 5.4.0 20160609
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
== uname -a =====================================================
Linux 25b038d948eb 4.9.49-moby #1 SMP Wed Sep 27 23:17:17 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux
== are we in docker =============================================
Yes
== compiler =====================================================
c++ (Ubuntu 5.4.0-6ubuntu1~16.04.5) 5.4.0 20160609
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
== uname -a =====================================================
Linux 25b038d948eb 4.9.49-moby #1 SMP Wed Sep 27 23:17:17 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux
== env ==========================================================
LD_LIBRARY_PATH is unset
DYLD_LIBRARY_PATH is unset
== nvidia-smi ===================================================
bash: nvidia-smi: command not found
== cuda libs ===================================================
Describe the problem
Describe the problem clearly here. Be sure to convey here why it's a bug in TensorFlow or a feature request.
I am facing issues while running bazel build command in order to install tensorflow serving in the docker container.
COMMAND RAN:-
bazel build -c opt --jobs 1 --local_resources 5,2.0,2.0 --verbose_failures tensorflow_serving/...
I am trying to create a tensorflow serving container with python3 and tensorflow 1.3. I have successfully create tensorflow serving with python2 and tested mnist and inception models.
The text was updated successfully, but these errors were encountered:
System information
Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
OS Platform and Distribution (e.g., Linux Ubuntu 16.04):Ubuntu 16.04 docker container
TensorFlow installed from (source or binary):
TensorFlow version (use command below):1.3.0
Python version: 3.5.2
Bazel version (if compiling from source):0.5.4
GCC/Compiler version (if compiling from source):5.4.0
CUDA/cuDNN version:NA
GPU model and memory:NA
Exact command to reproduce:
bazel build -c opt --jobs 1 --local_resources 5,2.0,2.0 --verbose_failures tensorflow_serving/...
== cat /etc/issue ===============================================
Linux 25b038d948eb 4.9.49-moby #1 SMP Wed Sep 27 23:17:17 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux
VERSION="16.04.3 LTS (Xenial Xerus)"
VERSION_ID="16.04"
VERSION_CODENAME=xenial
== are we in docker =============================================
Yes
== compiler =====================================================
c++ (Ubuntu 5.4.0-6ubuntu1~16.04.5) 5.4.0 20160609
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
== uname -a =====================================================
Linux 25b038d948eb 4.9.49-moby #1 SMP Wed Sep 27 23:17:17 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux
== check pips ===================================================
numpy (1.13.3)
protobuf (3.4.0)
tensorflow (1.3.0)
tensorflow-tensorboard (0.1.8)
== check for virtualenv =========================================
False
== tensorflow import ============================================
tf.VERSION = 1.3.0
tf.GIT_VERSION = v1.3.0-rc2-20-g0787eee
tf.COMPILER_VERSION = v1.3.0-rc2-20-g0787eee
Sanity check: array([1], dtype=int32)
== env ==========================================================
LD_LIBRARY_PATH is unset
DYLD_LIBRARY_PATH is unset
== nvidia-smi ===================================================
env_collect.sh: line 105: nvidia-smi: command not found
== cuda libs ===================================================
== cat /etc/issue ===============================================
Linux 25b038d948eb 4.9.49-moby #1 SMP Wed Sep 27 23:17:17 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux
VERSION="16.04.3 LTS (Xenial Xerus)"
VERSION_ID="16.04"
VERSION_CODENAME=xenial
== are we in docker =============================================
Yes
== compiler =====================================================
c++ (Ubuntu 5.4.0-6ubuntu1~16.04.5) 5.4.0 20160609
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
== uname -a =====================================================
Linux 25b038d948eb 4.9.49-moby #1 SMP Wed Sep 27 23:17:17 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux
== check pips ===================================================
numpy (1.13.3)
protobuf (3.4.0)
tensorflow (1.3.0)
tensorflow-tensorboard (0.1.8)
== check for virtualenv =========================================
False
== tensorflow import ============================================
tf.VERSION = 1.3.0
tf.GIT_VERSION = v1.3.0-rc2-20-g0787eee
tf.COMPILER_VERSION = v1.3.0-rc2-20-g0787eee
Sanity check: array([1], dtype=int32)
== env ==========================================================
LD_LIBRARY_PATH is unset
DYLD_LIBRARY_PATH is unset
== nvidia-smi ===================================================
bash: nvidia-smi: command not found
== cuda libs ===================================================
Describe the problem
Describe the problem clearly here. Be sure to convey here why it's a bug in TensorFlow or a feature request.
I am facing issues while running bazel build command in order to install tensorflow serving in the docker container.
COMMAND RAN:-
bazel build -c opt --jobs 1 --local_resources 5,2.0,2.0 --verbose_failures tensorflow_serving/...
ERROR:-
/root/.cache/bazel/_bazel_root/f8d1071c69ea316497c31e40fe01608c/external/inception_model/inception/slim/BUILD:55:1: Converting to Python 3: external/inception_model/inception/slim/ops.py failed (Exit 1): 2to3 failed: error executing command
(cd /root/.cache/bazel/_bazel_root/f8d1071c69ea316497c31e40fe01608c/execroot/tf_serving &&
exec env -
bazel-out/host/bin/external/bazel_tools/tools/python/2to3 --no-diffs --nobackups --write --output-dir bazel-out/local-py3-opt/genfiles/python3/external/inception_model/inception/slim --write-unchanged-files external/inception_model/inception/slim/ops.py).
I am trying to create a tensorflow serving container with python3 and tensorflow 1.3. I have successfully create tensorflow serving with python2 and tested mnist and inception models.
The text was updated successfully, but these errors were encountered: