Tensorflowlite 1.14: bazel windows build is broken #31118
Comments
rmothukuru
added
subtype:bazel
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I've tried that but it didn't help. Please note that I'm not doing windows => android cross-compilation. What I'm trying to get is windows build (dll or whatever). Also, not sure why, maybe due to the latest changes in 1.14 branch now I see this error: "D:\Test\tensorflow_1.14>bazel-0.20.0-windows-x86_64.exe --output_user_root D:\test\tensorflow_1.14-windows build --jobs 1 -c opt --cxxopt --std WARNING: The following rc files are no longer being read, please transfer their contents or import their path into one of the standard rc files: d:\test\tensorflow_1.14/.bazelrc Extracting Bazel installation... Starting local Bazel server and connecting to it... INFO: Invocation ID: 3928ae41-cf2a-4404-8fff-f3faa653acfd ERROR: D:/test/tensorflow_1.14-windows/sricgeud/external/io_bazel_rules_closure/closure/protobuf/closure_proto_library.bzl:66:21: name 'ProtoInfo' is not defined (did you mean 'protos'?) ERROR: error loading package '': in D:/test/tensorflow_1.14-windows/sricgeud/external/io_bazel_rules_closure/closure/defs.bzl: Extension 'closure/protobuf/closure_proto_library.bzl' has errors ERROR: error loading package '': in D:/test/tensorflow_1.14-windows/sricgeud/external/io_bazel_rules_closure/closure/defs.bzl: Extension 'closure/protobuf/closure_proto_library.bzl' has errors Is there any working guide on bazel build for tensorflowlite 1.14 for windows? |
rmothukuru
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the
stat:awaiting tensorflower
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@ElderOrb Have you implemented. / configure yet? |
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No, I stopped wasting time on this and still hope the issue will be fixed. |
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I think you're using a bazel that is too old |
tensorflowbutler
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the
stat:awaiting tensorflower
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@ElderOrb I mean to execute the “. / configure” instruction first and then continue compiling，and I didn't report this mistake after I implemented it. |
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@mihaimaruseac @Huangswust182 |
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See https://www.tensorflow.org/install/source_windows#tested_build_configurations for the exact configurations we have used when building. |
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@mihaimaruseac I followed link and found this:
... and then after couple lines:
So what is the right version? |
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Anyway, just tried with 0.24.1 and 'configure.py': D:\Test\tf_1.14>bazel --output_user_root=../tf_1.14-windows-build build --jobs 1 -c opt --cxxopt=--std=c++11 //tensorflow/lite:libtensorflowlite.so
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Also tried with bazel 0.25.2 (latest supported based on configure.py output) and got this: D:\Test\tf_1.14>configure.py Found possible Python library paths: Do you wish to build TensorFlow with XLA JIT support? [y/N]: Do you wish to build TensorFlow with ROCm support? [y/N]: Do you wish to build TensorFlow with CUDA support? [y/N]: Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is /arch:AVX]: Would you like to override eigen strong inline for some C++ compilation to reduce the compilation time? [Y/n]: Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details. D:\Test\tf_1.14>bazel --output_user_root=../tf_1.14-windows-build build --jobs 1 -c opt --cxxopt=--std=c++11 //tensorflow/lite:libtensorflowlite.so
[ERROR:typescript.bat] TypeScript was not added to PATH since a valid installation was not found [ERROR:typescript.bat] TypeScript was not added to PATH since a valid installation was not found |
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any progress here? |
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Can you try with master instead of 1.14? Seems 1.14 is badly broken |
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On the latest master (c022a58) I see this: |
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Is it possible to add tensorflowlite for windows to CI? |
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No solution still? |
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I have same problem! |
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Please watch #31601, most likely after that PR is merged this issue can be solved. I estimate one more week at most until solution. |
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I constantly run accross the bug. It's really annoying. It has nothing to do with my code since usually after several docker restarting or code recompiling, it works again. |
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@mihaimaruseac I guess the issue still here? Any ETA on fixing it finally? |
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I have same problem!I'm so tired!!! |
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As TF 1.14 is in a very bad state, I would recommend trying 1.15 or 2.0 or 2.1 |
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D:\test\tensorflow-r1.15>bazel --output_user_root=..\tensorflow_1.15.windows build --jobs 1 -c opt --cxxopt=--std=c++11 //tensorflow/lite:libtensorflowlite.so Extracting Bazel installation... Starting local Bazel server and connecting to it... INFO: Options provided by the client: Inherited 'common' options: --isatty=1 --terminal_columns=211 INFO: Options provided by the client: 'build' options: --python_path=C:/Python27/python.exe INFO: Reading rc options for 'build' from d:\test\tensorflow-r1.15.bazelrc: 'build' options: --apple_platform_type=macos --define framework_shared_object=true --define open_source_build=true --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --spawn_strategy=standalone --strategy=Genrule=standalone -c opt --announce_rc --define=grpc_no_ares=true --define=PREFIX=/usr --define=LIBDIR=$(PREFIX)/lib --define=INCLUDEDIR=$(PREFIX)/include ERROR: error loading package '': Encountered error while reading extension file 'repositories/repositories.bzl': no such package '@io_bazel_rules_docker//repositories': Traceback (most recent call last): File "D:/test/tensorflow_1.15.windows/pmsk6zot/external/bazel_tools/tools/build_defs/repo/git.bzl", line 164 _clone_or_update(ctx) File "D:/test/tensorflow_1.15.windows/pmsk6zot/external/bazel_tools/tools/build_defs/repo/git.bzl", line 74, in _clone_or_update fail(("error cloning %s:\n%s" % (ctx....))) error cloning io_bazel_rules_docker: + cd D:/test/tensorflow_1.15.windows/pmsk6zot/external + rm -rf D:/test/tensorflow_1.15.windows/pmsk6zot/external/io_bazel_rules_docker D:/test/tensorflow_1.15.windows/pmsk6zot/external/io_bazel_rules_docker /usr/bin/bash: line 5: rm: command not found ERROR: error loading package '': Encountered error while reading extension file 'repositories/repositories.bzl': no such package '@io_bazel_rules_docker//repositories': Traceback (most recent call last): File "D:/test/tensorflow_1.15.windows/pmsk6zot/external/bazel_tools/tools/build_defs/repo/git.bzl", line 164 _clone_or_update(ctx) File "D:/test/tensorflow_1.15.windows/pmsk6zot/external/bazel_tools/tools/build_defs/repo/git.bzl", line 74, in _clone_or_update fail(("error cloning %s:\n%s" % (ctx....))) error cloning io_bazel_rules_docker: + cd D:/test/tensorflow_1.15.windows/pmsk6zot/external + rm -rf D:/test/tensorflow_1.15.windows/pmsk6zot/external/io_bazel_rules_docker D:/test/tensorflow_1.15.windows/pmsk6zot/external/io_bazel_rules_docker /usr/bin/bash: line 5: rm: command not found INFO: Elapsed time: 16.173s INFO: 0 processes. FAILED: Build did NOT complete successfully (0 packages loaded) |
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Error is Din you run Also, please use |
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Run configure.cmd (which calls configure.py), the error is pretty the same: |
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Does it mean I should you wsl for building for windows? |
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Or MSYS2. See https://www.tensorflow.org/install/source_windows |
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Hi There, We are checking to see if you still need help on this, as you are using an older version of tensorflow which is officially considered end of life . We recommend that you upgrade to the latest 2.x version and let us know if the issue still persists in newer versions. Please open a new issue for any help you need against 2.x, and we will get you the right help. This issue will be closed automatically 7 days from now. If you still need help with this issue, please provide us with more information. |
Please make sure that this is a build/installation issue. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:build_template
System information
OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
Windows 10
Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
n/a
TensorFlow installed from (source or binary):
Build from source
TensorFlow version:
r1.14, 456fbc0
Python version:
2.7.15
Installed using virtualenv? pip? conda?:
n/a
Bazel version (if compiling from source):
0.21.0
GCC/Compiler version (if compiling from source):
MSVC 2017
CUDA/cuDNN version:
n/a
GPU model and memory:
n/a
Describe the problem
Windows build of tensorflow lite fails.
Provide the exact sequence of commands / steps that you executed before running into the problem
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