text:
jaxlib build from sources fails with ld: 2 duplicate symbols for architecture x86_64

Hi! While installing jaxlib from sources on macos 11.2.2. by following docs the installation fails with ld: 2 duplicate symbols error that points to output in bazel-out/. The log below is taken from rerunning python3 build/build.py (fails with same error). Thank you for any tips what I can be missing!
Following the install from sources instructions:

git clone https://github.com/google/jax; cd jax
running installation (without cuda): python3 build/build.py

$ python3 build/build.py

     _   _  __  __
    | | / \ \ \/ /
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| |_| / ___ \/  \
 \___/_/   \/_/\_\

Bazel binary path: ./bazel-3.7.2-darwin-x86_64
Python binary path: /usr/local/opt/python@3.8/bin/python3.8
Python version: 3.8
MKL-DNN enabled: yes
Target CPU features: release
CUDA enabled: no
ROCm enabled: no

Building XLA and installing it in the jaxlib source tree...
./bazel-3.7.2-darwin-x86_64 run --verbose_failures=true --config=short_logs --config=avx_posix --config=mkl_open_source_only :build_wheel -- --output_path=/Users/mateusz/PycharmProjects/jax/dist
INFO: Options provided by the client:
  Inherited 'common' options: --isatty=0 --terminal_columns=80
INFO: Reading rc options for 'run' from /Users/mateusz/PycharmProjects/jax/.bazelrc:
  Inherited 'common' options: --experimental_repo_remote_exec
INFO: Reading rc options for 'run' from /Users/mateusz/PycharmProjects/jax/.bazelrc:
  Inherited 'build' options: --repo_env PYTHON_BIN_PATH=/usr/local/opt/python@3.8/bin/python3.8 --action_env=PYENV_ROOT --python_path=/usr/local/opt/python@3.8/bin/python3.8 --repo_env TF_NEED_CUDA=0 --action_env TF_CUDA_COMPUTE_CAPABILITIES=3.5,5.2,6.0,6.1,7.0 --repo_env TF_NEED_ROCM=0 --action_env TF_ROCM_AMDGPU_TARGETS=gfx803,gfx900,gfx906,gfx1010 --distinct_host_configuration=false -c opt --apple_platform_type=macos --macos_minimum_os=10.9 --announce_rc --define open_source_build=true --define=no_kafka_support=true --define=no_ignite_support=true --define=grpc_no_ares=true --spawn_strategy=standalone --strategy=Genrule=standalone --enable_platform_specific_config --define=with_tpu_support=true
INFO: Found applicable config definition build:short_logs in file /Users/mateusz/PycharmProjects/jax/.bazelrc: --output_filter=DONT_MATCH_ANYTHING
INFO: Found applicable config definition build:avx_posix in file /Users/mateusz/PycharmProjects/jax/.bazelrc: --copt=-mavx --host_copt=-mavx
INFO: Found applicable config definition build:mkl_open_source_only in file /Users/mateusz/PycharmProjects/jax/.bazelrc: --define=tensorflow_mkldnn_contraction_kernel=1
INFO: Found applicable config definition build:macos in file /Users/mateusz/PycharmProjects/jax/.bazelrc: --config=posix
INFO: Found applicable config definition build:posix in file /Users/mateusz/PycharmProjects/jax/.bazelrc: --copt=-Wno-sign-compare --define=no_aws_support=true --define=no_gcp_support=true --define=no_hdfs_support=true --cxxopt=-std=c++14 --host_cxxopt=-std=c++14
Loading:
Loading: 0 packages loaded
Analyzing: target //build:build_wheel (0 packages loaded, 0 targets configured)
INFO: Analyzed target //build:build_wheel (0 packages loaded, 0 targets configured).
INFO: Found 1 target...
[0 / 2] [Prepa] BazelWorkspaceStatusAction stable-status.txt
[1 / 2] Linking external/org_tensorflow/tensorflow/compiler/xla/python/xla_extension.so; 1s local
ERROR: /private/var/tmp/_bazel_mateusz/b6eb44f2f011bbc7a8c2a6afe83ceb88/external/org_tensorflow/tensorflow/compiler/xla/python/BUILD:496:17: Linking of rule '@org_tensorflow//tensorflow/compiler/xla/python:xla_extension.so' failed (Exit 1): cc_wrapper.sh failed: error executing command
  (cd /private/var/tmp/_bazel_mateusz/b6eb44f2f011bbc7a8c2a6afe83ceb88/execroot/__main__ && \
  exec env - \
    PATH=/usr/local/opt/python@3.8/bin:/Users/mateusz/.jenv/shims:/Users/mateusz/.jenv/bin:/usr/local/sbin:/usr/local/texlive/2016basic/bin/x86_64-darwin:/Users/mateusz/.cargo/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/Library/TeX/texbin \
    PWD=/proc/self/cwd \
    TF_CUDA_COMPUTE_CAPABILITIES=3.5,5.2,6.0,6.1,7.0 \
    TF_ROCM_AMDGPU_TARGETS=gfx803,gfx900,gfx906,gfx1010 \
  external/local_config_cc/cc_wrapper.sh -shared -o bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/python/xla_extension.so bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/python/_objs/xla_extension.so/xla.pic.o bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/python/libdlpack.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/python/libpmap_lib.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/python/libjax_jit.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/python/libops.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/client/lib/liblu_decomposition.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/client/lib/libqr.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/client/lib/libself_adjoint_eig.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/client/lib/libsorting.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/client/lib/libsvd.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/python/libprofiler.pic.a -Wl,-force_load,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/internal/cpu/libhost_tracer.pic.lo bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/internal/cpu/libhost_tracer_utils.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/utils/libparse_annotation.pic.a -Wl,-force_load,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/internal/tpu/libtpu_tracer.pic.lo -Wl,-force_load,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/tpu/libtpu_api_dlsym_initializer.pic.lo 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bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/utils/libxplane_schema.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/utils/libtf_op_utils.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/utils/libxplane_utils.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/utils/libxplane_builder.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/utils/libxplane_visitor.pic.a -Wl,-force_load,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/libprofiler_service_proto_cc_impl.pic.lo -Wl,-force_load,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/profiler/libprofiler_service_monitor_result_proto_cc_impl.pic.lo bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/python/libpytree.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/python/libpy_traceback.pic.a 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-Wl,-force_load,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libcpu_compiler.pic.lo bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libbuffer_info_util.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libconv_canonicalization.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libcpu_executable.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/libxla_debug_info_manager.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libcpu_instruction_fusion.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/libinstruction_fusion.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libcpu_layout_assignment.pic.a 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-Wl,-force_load,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/mlir/xla/libhlo_utils.pic.lo -Wl,-force_load,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/mlir/hlo/libhlo.pic.lo -Wl,-force_load,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/mlir/hlo/libinfer_fusibility_op_interface.pic.lo bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/mlir/hlo/libconvert_op_folder.pic.a -Wl,-force_load,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/mlir/hlo/liblhlo.pic.lo bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/mlir/hlo/libhlo_ops_base_enums.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/mlir/hlo/libhlo_ops_base_structs.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libTargetLLVMIR.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libLLVMAVX512ToLLVMIRTranslation.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libLLVMArmNeonToLLVMIRTranslation.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libLLVMArmSVEToLLVMIRTranslation.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libLLVMToLLVMIRTranslation.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libOpenMPToLLVMIRTranslation.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libROCDLToLLVMIRTranslation.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libTranslation.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libtiled_dot_emitter.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libir_emission_utils.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libshape_partition.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/llvm_ir/libdynamic_update_slice_util.pic.a 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bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/llvm_ir/libloop_emitter.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/llvm_ir/libllvm_loop.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/llvm_ir/libir_array.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libsimple_orc_jit.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libcompiler_functor.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libllvm_ir_runtime.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libvector_support_library.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/llvm_ir/libmath_ops.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/liborc_jit_memory_mapper.pic.a 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bazel-out/darwin-opt/bin/external/llvm-project/llvm/libRuntimeDyld.pic.a bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/service/cpu/libtarget_machine_features.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libAffineTransforms.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libAsyncTransforms.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libComplexToLLVM.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libSCFToOpenMP.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libTosaToLinalg.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libGPUToGPURuntimeTransforms.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libAsyncToLLVM.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libNVVMToLLVMIRTranslation.pic.a bazel-out/darwin-opt/bin/external/llvm-project/llvm/libNVPTXCodeGen.pic.a bazel-out/darwin-opt/bin/external/llvm-project/llvm/libIPO.pic.a bazel-out/darwin-opt/bin/external/llvm-project/llvm/libIRReader.pic.a bazel-out/darwin-opt/bin/external/llvm-project/llvm/libLinker.pic.a bazel-out/darwin-opt/bin/external/llvm-project/llvm/libNVPTXDesc.pic.a bazel-out/darwin-opt/bin/external/llvm-project/llvm/libNVPTXInfo.pic.a bazel-out/darwin-opt/bin/external/llvm-project/llvm/libVectorize.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libGPUToNVVMTransforms.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libGPUToROCDLTransforms.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libGPUCommonTransforms.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libGPUToSPIRV.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libSCFToSPIRV.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libGPUToVulkanTransforms.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libSPIRVSerialization.pic.a bazel-out/darwin-opt/bin/external/llvm-project/mlir/libSPIRVBinaryUtils.pic.a 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bazel-out/darwin-opt/bin/external/com_google_absl/absl/strings/libstr_format_internal.pic.a bazel-out/darwin-opt/bin/external/com_google_absl/absl/strings/libstrings.pic.a bazel-out/darwin-opt/bin/external/com_google_absl/absl/strings/libinternal.pic.a bazel-out/darwin-opt/bin/external/com_google_absl/absl/base/libbase.pic.a bazel-out/darwin-opt/bin/external/com_google_absl/absl/base/libdynamic_annotations.pic.a bazel-out/darwin-opt/bin/external/com_google_absl/absl/base/libspinlock_wait.pic.a bazel-out/darwin-opt/bin/external/com_google_absl/absl/base/libthrow_delegate.pic.a bazel-out/darwin-opt/bin/external/com_google_absl/absl/base/libraw_logging_internal.pic.a bazel-out/darwin-opt/bin/external/com_google_absl/absl/base/liblog_severity.pic.a bazel-out/darwin-opt/bin/external/com_google_absl/absl/numeric/libint128.pic.a -Wl,-rpath,@loader_path/,-rpath,@loader_path/..,-rpath,@loader_path/../..,-rpath,@loader_path/../../.. -Wl,-rename_section,__TEXT,text_env,__TEXT,__text -Wl,-w -Wl,-exported_symbols_list,bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/compiler/xla/python/xla_extension-exported-symbols.lds -lm -lpthread -framework IOKit -ldl -ldl -lm -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -framework CoreFoundation -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -pthread -ldl -lpthread -lm -pthread -pthread -lm -lpthread -lm -lpthread -lm -pthread -undefined dynamic_lookup -headerpad_max_install_names -lstdc++ -lm)
Execution platform: @local_execution_config_platform//:platform
duplicate symbol 'tensorflow::tpu::InitializeTpuLibrary(void*)' in:
    bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/tpu/libtpu_api_dlsym_initializer.pic.lo(tpu_api_dlsym_initializer.pic.o)
    bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/tpu/libtpu_executor_dlsym_initializer.pic.lo(tpu_executor_dlsym_initializer.pic.o)
duplicate symbol 'tensorflow::tpu::FindAndLoadTpuLibrary()' in:
    bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/tpu/libtpu_api_dlsym_initializer.pic.lo(tpu_api_dlsym_initializer.pic.o)
    bazel-out/darwin-opt/bin/external/org_tensorflow/tensorflow/core/tpu/libtpu_executor_dlsym_initializer.pic.lo(tpu_executor_dlsym_initializer.pic.o)
ld: 2 duplicate symbols for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
Target //build:build_wheel failed to build
INFO: Elapsed time: 3.424s, Critical Path: 2.82s
INFO: 2 processes: 2 internal.
FAILED: Build did NOT complete successfully
ERROR: Build failed. Not running target
FAILED: Build did NOT complete successfully
Traceback (most recent call last):
  File "build/build.py", line 516, in <module>
    main()
  File "build/build.py", line 511, in main
    shell(command)
  File "build/build.py", line 51, in shell
    output = subprocess.check_output(cmd)
  File "/usr/local/Cellar/python@3.8/3.8.8/Frameworks/Python.framework/Versions/3.8/lib/python3.8/subprocess.py", line 415, in check_output
    return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
  File "/usr/local/Cellar/python@3.8/3.8.8/Frameworks/Python.framework/Versions/3.8/lib/python3.8/subprocess.py", line 516, in run
    raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['./bazel-3.7.2-darwin-x86_64', 'run', '--verbose_failures=true', '--config=short_logs', '--config=avx_posix', '--config=mkl_open_source_only', ':build_wheel', '--', '--output_path=/Users/mateusz/PycharmProjects/jax/dist']' returned non-zero exit status 1.

I also managed to reproduce it in google colab:
https://colab.research.google.com/drive/1R4ANPLeHgCnOi2AjoPU_sLKmcmCcRkb1?usp=sharing

I'm also able to repro this (on linux). Now just to find the root cause... Thanks for reporting. If it helps in the meantime, the tag jaxlib-v0.1.61 should build correctly.

Well I didn't root cause it, because it appears to have fixed itself :) I just updated our WORKSPACE to a more recent TF commit and it works for me now. Give it a shot?

I tried it once again with the latest version and it worked (correctly imports and works 🎉). Thank you for your help!

authors: mtsokol skye


text:
Implement jnp.from* array creation functions

Fixes #10045
Note that np.fromregex is not compatible with JAX because it can only create structured arrays, which JAX does not support.

Thanks Roy - I removed fromfile and fromiter based on https://github.com/google/jax/issues/10045#issuecomment-1082153407. PTAL!

source: gharchive/pull-request

repo: google/jax

license_type: permissive

license_source: github-api


text:
[jax2tf] Document the handling of custom JAX pytrees

Add a test also.

@rxsang PTAL


text:
Add custom interpreter notebook

Adds a guide that walks through how to create a custom interpreter. Goes over Jaxprs and builds a simple inverse transformation from scratch.

Thanks for the detailed review Matt! I've updated the notebook to include your suggestions.

Thanks for putting up with all my nits :D

authors: mattjj sharadmv


text:
jax.make_jaxpr: fix name & related attributes

I noticed that the logic for the __name__ attribute in make_jaxpr was incorrect.
Before:
In [1]: import jax
   ...: def foo(x, y, z):
   ...:   return x + y + z
   ...:

In [2]: jax.make_jaxpr(foo).__name__
Out[2]: 'make_jaxpr(make_jaxpr)'

In [3]: jax.make_jaxpr(foo)
Out[3]: <function __main__.foo(x, y, z)>

After:
In [1]: import jax
   ...: def foo(x, y, z):
   ...:   return x + y + z
   ...:

In [2]: jax.make_jaxpr(foo).__name__
Out[2]: 'make_jaxpr(foo)'

In [3]: jax.make_jaxpr(foo)
Out[3]: <function jax.make_jaxpr(foo)(x, y, z)>

Add a test please

Done


text:
Fix argument names for jnp.arctan2/jnp.atan2

Since these arguments are positional-only, this is not a breaking change for typical usage.
Fixes #23151

Note @pearu 's comment on the issue.

authors: hawkinsp jakevdp


text:
Go indexer: Add anchors & references for imports & imported packages. [phab:D1237]

Created by fromberger at 2017-01-09 04:31:03:
Imports are references (ref/imports) to their imported packages.
Uses of the package name on the LHS of a selector expr (pkg.Name) are plain
references (ref) to the imported package.  We do not currently record a
relationship between the ref anchor and the import site, as Kythe does not have
a separate node type for the import event itself.
Related:

Add a unit test for import associations.
Add ref/imports edge kind to the schema library.
Add writeRef method to the emitter.

Cosmetic fixes:

Remove a completed TODO comment.
Rename parentFunc to stackFunc.

shahms accepted this revision at 2017-01-09 17:11:48

fromberger closed via commit 8f13121264f59586dc7cd7927e1c2120901b3cfc at 2017-01-09 17:17:10

source: gharchive/issue

repo: google/kythe


text:
build failed with MSVC

MSVC does not support VLA（Variable Length Array ）, can you make compatibility please？

Done.

authors: asoulier leytou

license_source: bigquery


text:
Hotspot container floating on iOS

Hi, I have a question regarding hotspot container.
I've noticed that in iOS Safari (iPhone) hotspot container doesn't stay perfectly in place and it "floats" while user is moving the scene.
Is there any fix to this issue ?
https://www.marzipano.net/demos/embedded-hotspots/
Thanks

I second this, I have experienced the same issue!

Not only on iOS but also with the latest Chrome (78.0.3904.97)
Try loading the "Google Map" sample and drag around can repopulate the issue.
Thanks

This seems to be browser-specific: Firefox and desktop Safari look fine.
It also seems to be related to the use of an iframe. If the embedded iframe is replaced with a plain div with the same dimensions and a solid color, the issue is gone.
I haven't found a workaround so far.

authors: jordyno mpvlc newhope tjgq

repo: google/marzipano


text:
Header does not follow drawer when the latest gets hidden

You can reproduce the bug here http://www.getmdl.io/templates/dashboard/index.html
If you reside the browser you will see that drawer is hidden when you reach 1024px because it respects $layout-screen-size-threshold on https://github.com/google/material-design-lite/blob/master/src/_variables.scss#L363
while header does not follow it until on 850px which is as a result of https://github.com/google/material-design-lite/blob/master/src/layout/layout.js#L39

Oh good find! Mismatch in breakpoints. Thanks for the issue, @lBilali, I’ll get right on that.

authors: lBilali surma

repo: google/material-design-lite


text:
No way to get the list of checked rows in a data table

How can we get the list of checked rows in a data-table if this one is selectable?
Would it be possible to get a event when a row is checked/unchecked, or maybe a new getter?

An event sounds reasonable. I don't see where a getter would really be useful to add in. It saves only a few lines of code in the end.

Arguably you can already do this by adding an event on each checkbox no? Like that:
  var checkboxes = document.getElementById('myTableId').querySelector('tbody').querySelectorAll('.mdl-checkbox__input');
  for (var i = 0; i < checkboxes.length; i++) {
    checkboxes[i].addEventListener('change', listener);
  }

The above should be enough, especially after #1170 lands.
I could add the following to the DataTable's proto but is it really worth it since we're trying to stay "light"? :)
/**
 * Adds an event listener on the table's checkboxes.
 */
MaterialDataTable.prototype.addEventListener = function(type, listener,
                                                        useCapture) {
  'use strict';

  var checkboxes = this.element_.querySelectorAll('.mdl-checkbox__input');
  for (var i = 0; i < checkboxes.length; i++) {
    checkboxes[i].addEventListener(type, listener, useCapture);
  }
};

For sure there's a way to get that information.. But I still think it's something that should be included in the library.
What's the point of having a feature to add checkboxes in the datatable if there's no way of getting the result of them with the library?

How add name and value for checkbox, @tleunen  , have u find solution?

@thanhmabo To do this easily you have to wait until #1170 is merged and for the next release which should be v1.1.
In the mean time you can do this programmatically: give an ID to your <tr> and get the checkbox with a selector like that:
document.getElementById('myTRId').querySelector('.mdl-checkbox__input').name = 'myCheckboxInputName';

@tleunen I discussed with the rest of the team and we decided to add the event on data-table. I'll get started on that. Probably this will make it into 1.1 too :)

Thanks @nicolasgarnier :) :raised_hands:

We are officially deprecating the automatic checkbox generation for data tables. Please see the wiki page for instructions on how this should be replaced in your current code. The new method allows developers more control over the checkboxes in every way, as well as more intuitive removing and adding new rows.
Due to this deprecation we will not be adding this or any other new functionality for this component's JS.

Just a heads up for anyone that cares.  If dynamically adding, even after you do componentHandler.upgradeElement(whatever)   The ripple effect that is on the label will not respond like the ripple on static labels.  I don't know if the timing is quicker or what, but it is visually faster or at least different.

authors: Garbee nicolasgarnier slippyC thanhmabo tleunen


text:
Nav drawer (menu) icon is cut in half; icon font weirdness if you have icon font installed on your machine

This seems to be affecting several of the demos and the customizer tool. In this screenshot:

The menu icon is cut in half.
If you add this CSS to the page as a test:
.mdl-layout__drawer-button i {
  position: relative;
  left: -20px;
}

you'll see the full icon as it was intended to be shown:

I'm unable to replicate this with the customizer or any templates.
What kind of system are you seeing this on? Have you tested in a clean browser profile (no extensions) to make sure they aren't conflicting? Any device using Device Mode in the Chrome DevTools able to consistently replicate this for you?

Mine stayed full size no matter how small I shrunk the window.

Oh interesting. I'll experiment shortly and reply back. I'm seeing this on Chrome/Mac (don't have versions readily available)

@romannurik should you share what version of Chrome you're seeing this on? I'd test using my walkthrough in https://developer.chrome.com/devtools/docs/clean-testing-environment to make sure there aren't any extensions impacting how this renders.

Version 43.0.2357.132. Will test w/ extensions off.

BTW, I think it has something to do with the icon font, specifically ligatures and text measurement perhaps

I feel like you might be on to something, then again you are the only one so far with that issue. Keep us posted, very interesting.

OK, I had the icon font TTF installed. Uninstalling it fixed the problem.
Note that not all icons are affected, per the two screenshots.
Bad:

Good:

Just installed the same TTF on my machine (Linux) and it isn't causing a problem. Maybe platform-dependent?

Possibly... I'm on a Mac (Yosemite, 10.10.4). Also note it doesn't affect Safari; only Chrome.

I think the solution might be for Google Fonts to remove local('Material Icons'), local('MaterialIcons-Regular') from the @font-face src… doesn't seem like a great idea for local system fonts to start messing with site iconography.

This seems to be fixed in latest releases?

Right! Thanks for reminding us! I Either the font fixed it upstream or we pulled in the necessary CSS into MDL. Don’t quite remember. But closing this :)

authors: Garbee addyosmani innerpeace0 romannurik surma


text:
attend_dtype not used

Here it seems that the hard-coded bfloat16 is used instead of attend_dtype. Also query is not cast. I guess the correct behavior should be casting both query and self.embedding to attend_dtype?

yes weird. @khatwanimohit can you take a look? I'm not sure what this is meant to represent? And the upstream flag is also kind of weird given that it is orphaned?
https://github.com/google/maxtext/blob/5353a957594bd6cf316747cd5a327c163caca74f/MaxText/layers/models.py#L341
I think we should figure out if
(a) does doing the dot in f32 help convergence (using the 1B runs)?
(b) does @ZhiyuLi-goog/MLPerf care?
(c) what does Anselm Levskaya think
We should make the code consistent and as simple as possible. Also, why is our pylint/pytype not raising alarms on this, unused vars are bad?

authors: rwitten zhixuan-lin

repo: google/maxtext


text:
Error execute app Hand Detection

10/30 21:02:28: Launching 'handdetectiongpu'.
$ adb shell am start -n "com.google.mediapipe.apps.handdetectiongpu/com.google.mediapipe.apps.handdetectiongpu.MainActivity" -a android.intent.action.MAIN -c android.intent.category.LAUNCHER
Waiting for process to come online...
Connected to process 6142 on device 'Nexus_5X_API_29_x86 [emulator-5554]'.
Process 6142 terminated.
hand tracking has stopped, hand detection not open!

Are you able to launch the app directly from the mobile device (i.e. without using adb shell) ?

repo: google/mediapipe


text:
Process multiple images in one run instead of using for loop

stock script from Mediapipe for now:
Linux:
MediaPipe 0.8.9.1(https://github.com/google/mediapipe/releases):
Face Mesh:
Python):

I want to know if it is possible to send in multiple frames and have it processed in one run of the neural net instead of using a for loop and passing one image at a time

Hi @sid0913 ,
Could you please elaborate w.r.t above issue to investigate further.

Currently, to process a set of landmarks for a set of images we use :
for idx, file in enumerate(IMAGE_FILES)
Where IMAGE_FILES is an array of the image file paths
in the code presented on the instruction page for mediapipe: tutorial
Instead of this I want to import all the images as np arrays and cluster them as a tensor- (N,L,W,3) shape where L is the length of the image and W is the width and N is the number of images I want to pass to the neural net.
I want to know how I can pass this whole tensor directly through mediapipe's neural net to get a tensor with all the N images' landmarks in one go. This avoids the for loop and is much more efficient for my use case.

Any updates on this?

Hi @sid0913 ,
Could you provide your code changes to investigate further on this issue.

Also interested in some method of processing multiple images at once, instead of looping through the images one at a time like this:
import cv2
import mediapipe as mp

mp_face_detection = mp.solutions.face_detection
face_detection = mp_face_detection.FaceDetection(model_selection=1, min_detection_confidence=0.5)

for image in directory:
  img = cv2.imread(image)
  rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

  result = face_detection.process(rgb)

  if result.detections:
    print('face')
  else:
    print('no face')

+1

Any updates on this? It would be really useful a way to do a batch inference instead of doing a for loop

Hey, I managed to come up with something using the multiprocessing module, here is a simplified version of it:
from multiprocessing import get_context, TimeoutError

def image_processor_function(photo):
    # Process photo and return prediction
    return str(photo) + ' > 1/0'

def multiprocess_photos(photos: list, pool_size: int):
    # Create nested lists, each list is N long
    photos_nested = [list(i) for i in zip(*(iter(photos),) * pool_size)]
    photos_nested.append(photos[-(len( photos ) % pool_size):])

    predictions = []

    with get_context("spawn").Pool(processes=pool_size) as pool:
        for photo_list in photos_nested:
            multiple_results = [pool.apply_async( image_processor_function, (photo,)) for photo in photo_list]

            try:
                for result in multiple_results:
                    # Do something with the results
                    predictions.extend( [result.get(timeout=(5*pool_size))] )
            except TimeoutError:
                # Handle timeout errors
                print('timeout')

    return predictions

if __name__ == '__main__':
    print( multiprocess_photos(['photo1', 'photo2', 'photo3', 'photo4', 'photo5'], 2) )


text:
Bazel build helloworld with a '404 Not Found' error

Please help me.when i tried to bazel run helloworld,I wait a long time to download some dependencies.And then,it makes error.
So i hope someone can give me some advice.
bazel build -c opt mediapipe/examples/desktop/hello_world:hello_world
INFO: Call stack for the definition of repository 'org_tensorflow' which is a http_archive (rule definition at /home/yu/.cache/bazel/_bazel_yu/04f3bfb84c6a6907e978f30a60ac4394/external/bazel_tools/tools/build_defs/repo/http.bzl:292:16):

/home/yu/mediapipe/WORKSPACE:124:1
WARNING: Download from https://mirror.bazel.build/github.com/tensorflow/tensorflow/archive/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz failed: class com.google.devtools.build.lib.bazel.repository.downloader.UnrecoverableHttpException GET returned 404 Not Found
WARNING: Download from https://github.com/tensorflow/tensorflow/archive/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz failed: class java.io.IOException Tried to reconnect at offset 6,681,882 but server didn't support it
ERROR: An error occurred during the fetch of repository 'org_tensorflow':
java.io.IOException: Error downloading [https://mirror.bazel.build/github.com/tensorflow/tensorflow/archive/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz, https://github.com/tensorflow/tensorflow/archive/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz] to /home/yu/.cache/bazel/_bazel_yu/04f3bfb84c6a6907e978f30a60ac4394/external/org_tensorflow/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz: Tried to reconnect at offset 6,681,882 but server didn't support it
ERROR: no such package '@org_tensorflow//tensorflow': java.io.IOException: Error downloading [https://mirror.bazel.build/github.com/tensorflow/tensorflow/archive/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz, https://github.com/tensorflow/tensorflow/archive/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz] to /home/yu/.cache/bazel/_bazel_yu/04f3bfb84c6a6907e978f30a60ac4394/external/org_tensorflow/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz: Tried to reconnect at offset 6,681,882 but server didn't support it
ERROR: no such package '@org_tensorflow//tensorflow': java.io.IOException: Error downloading [https://mirror.bazel.build/github.com/tensorflow/tensorflow/archive/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz, https://github.com/tensorflow/tensorflow/archive/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz] to /home/yu/.cache/bazel/_bazel_yu/04f3bfb84c6a6907e978f30a60ac4394/external/org_tensorflow/77e9ffb9b2bfb1a4f7056e62d84039626923e328.tar.gz: Tried to reconnect at offset 6,681,882 but server didn't support it
INFO: Elapsed time: 538.786s
INFO: 0 processes.
FAILED: Build did NOT complete successfully (0 packages loaded)

class com.google.devtools.build.lib.bazel.repository.downloader.UnrecoverableHttpException GET returned 404 Not Found

The error is a 404 Not Found issue during downloading the external dependencies. Please check your network conntection and retry. VPN is preferred if you are in mainland China. See https://github.com/google/mediapipe/issues/3 for more detail.

class com.google.devtools.build.lib.bazel.repository.downloader.UnrecoverableHttpException GET returned 404 Not Found

该错误是下载外部依赖项时出现的404 Not Found问题。请检查您的网络连接，然后重试。如果您在中国大陆，则首选VPN。有关更多详细信息，请参见＃3。

ok i will try it again

class com.google.devtools.build.lib.bazel.repository.downloader.UnrecoverableHttpException GET returned 404 Not Found

The error is a 404 Not Found issue during downloading the external dependencies. Please check your network conntection and retry. VPN is preferred if you are in mainland China. See #3 for more detail.

ok i will try it again

authors: jiuqiant teafff