1

在 OSX(10.9.5) 、 Bazel:0.2.2-b、CUDA:7.5、cuDNN:v5 python:2.7之后在 TensorFlow 中安装再训练器时

$bazel build tensorflow/examples/image_retraining:retrain

我遇到了以下错误。有任何想法吗?

错误:/Users/hoshinotoshihiko/tensorflow/google/protobuf/BUILD:272:1:规则'//google/protobuf:protoc'的C++编译失败:osx_cc_wrapper.sh失败:

执行命令时出错(cd/private/var/tmp/_bazel_hoshinotoshihiko/ff5db7423b3afa0d045a736d77207f89/tensorflow && \exec env - \PATH='/usr/local/lib:/usr/lib:/Users/hoshinotoshihiko/exec -l /bin/bash /google-cloud-sdk/bin:/usr/local/cuda/bin:/Library/Frameworks/Python.framework/Versions/3.4/bin:/usr/bin:/bin:/usr/sbin:/sbin:/ usr/local/bin:/Users/hoshinotoshihiko/bin'TMPDIR=/var/folders/y6/78v3zz4j1bj6nq7bl82c3cj80000gn/T/\external/local_config_cc/osx_cc_wrapper.sh -U_FORTIFY_SOURCE '-D_FORTIFY_SOURCE=1' -fstack-protector -Wall -Wthread -safety -Wself-assign -Wunused-but-set-parameter -Wno-free-nonheap-object -fcolor-diagnostics -fno-omit-frame-pointer -g0 -O2 -DNDEBUG -ffunction-sections -fdata-sections -g0 '-std=c++0x' -iquote 。-iquote bazel-out/host/genfiles -iquote external/bazel_tools -iquote bazel-out/host/genfiles/external/bazel_tools -isystem google/protobuf/src -isystem bazel-out/host/genfiles/google/protobuf/src - isystem external/bazel_tools/tools/cpp/gcc3 -no-canonical-prefixes -fno-canonical-system-headers -Wno-builtin-macro-redefined '-D__DATE__="redacted"' '-D__TIMESTAMP__="redacted"' '- D__TIME__="redacted"' '-frandom-seed=bazel-out/host/bin/google/protobuf/_objs/protoc/google/protobuf/src/google/protobuf/compiler/main.o' -MD -MF bazel- out/host/bin/google/protobuf/_objs/protoc/google/protobuf/src/google/protobuf/compiler/main.d -c google/protobuf/src/google/protobuf/compiler/main。cc -o bazel-out/host/bin/google/protobuf/_objs/protoc/google/protobuf/src/google/protobuf/compiler/main.o):

com.google.devtools.build.lib.shell.BadExitStatusException:进程以状态 126 退出。

external/local_config_cc/osx_cc_wrapper.sh: line 56: /usr/local/lib/gcc: 是一个目录

目标 //tensorflow/examples/image_retraining:retrain 构建失败

INFO:经过时间:20.672s,关键路径:20.22s

4

2 回答 2

1

这是因为机器的性能。
通过更改机器(MacBook Air(2012 年中)(4GB 内存)→MacBook Pro(2014 年中)(16GB 内存),我能够构建。

于 2016-05-14T01:34:27.830 回答
0

尝试从 google 的 dockerfile 开始用于张量流:

https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/tools/docker/Dockerfile.devel

如果您在该环境中遇到问题,请重新发布。

于 2016-05-03T05:42:28.013 回答