Question

我有一个关于这个导入的问题 tensorflow / tensorflow / python / summary / summary.py第53行：

gen_logging_ops

当我进入目录 tensorflow / python / ops 时，没有名为D:\Python\Anaconda3\envs\tensorflow\python.exe D:/Python/pycharm_project/test/mnist_chuji 2017-08-15 14:07:37.587932: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations. 2017-08-15 14:07:37.588611: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-15 14:07:37.589142: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-15 14:07:37.589598: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-15 14:07:37.590038: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-15 14:07:37.590437: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. Traceback (most recent call last): File "D:/Python/pycharm_project/test/mnist_chuji", line 52, in <module> DisplayArray(u_init, rng=[-0.1, 0.1]) File "D:/Python/pycharm_project/test/mnist_chuji", line 15, in DisplayArray Image.fromarray(a).save(f, fmt) AttributeError: type object 'Image' has no attribute 'fromarray' Process finished with exit code 1的文件。

我想知道这是怎么产生的？顺便说一句，我正在跟踪r1.3版本。

任何建议都非常感谢！

Answer 1

我有一个类似的question。 gen _ 文件是由bazel在构建时生成的文件，如果您自己构建TensorFlow，可以在 bazel-genfiles / 目录中找到它们。

tf_op_gen_wrapper_py bazel规则是生成 gen _ 文件的规则。如上所述，在此answer中，此规则生成此library中定义的操作的所有python包装器：

py_library(
    name = "logging_ops",
    srcs = ["ops/logging_ops.py"],
    srcs_version = "PY2AND3",
    deps = [
        ":framework_for_generated_wrappers",
        ":logging_ops_gen",
        ":util",
    ],
)

在logging_ops案例中存在间接：tf_op_gen_wrapper_py中隐藏了对tf_gen_op_wrapper_private_py的调用：

 tf_gen_op_wrapper_private_py(
    name = "logging_ops_gen",
    visibility = [
        "//learning/brain/python/ops:__pkg__",
        "//tensorflow/python/kernel_tests:__pkg__",
    ],
)

Tensorflow：gen_logging_ops源代码在哪里？

1 个答案: