# A shared object which includes registration mechanisms for ops and
# kernels. Does not include the implementations of any ops or kernels. Instead,
# the library which loads libtensorflow_framework.so
# (e.g. _pywrap_tensorflow_internal.so for Python, libtensorflow.so for the C
# API) is responsible for registering ops with libtensorflow_framework.so. In
# addition to this core set of ops, user libraries which are loaded (via

# nothing in a bazelrc will default to a monolithic build. The following line
# opts in to modular op registration support by default.
common --define framework_shared_object=true
common --define tsl_protobuf_header_only=true

common --define=allow_oversize_protos=true

common --spawn_strategy=standalone
common -c opt

common --repo_env=USE_PYWRAP_RULES=True
common --copt=-DGRPC_BAZEL_BUILD

    private static class OptionComparator implements Comparator<Option> {
        @Override
        public int compare(Option opt1, Option opt2) {
            String s1 = opt1.getOpt() != null ? opt1.getOpt() : opt1.getLongOpt();
            String s2 = opt2.getOpt() != null ? opt2.getOpt() : opt2.getLongOpt();
            return s1.compareToIgnoreCase(s2);
        }
    }

        "//tensorflow/core/platform:abi",
    ]),
    alwayslink = 1,
)

tf_cuda_library(
    name = "ops",
    srcs = [
        "ops.cc",
    ],
    hdrs = [
        "ops.h",
    ],
    copts = tf_copts(),
    visibility = ["//visibility:public"],
    deps = [
        ":c_api_macros_hdrs",
        ":tf_datatype",
        ":tf_status_helper",

"percent","eased","duration","pos","step","fx","scrollTop","scrollLeft","linear","p","swing","cos","PI","fxNow","inProgress","opt","rfxtypes","rrun","schedule","hidden","requestAnimationFrame","interval","tick","createFxNow","genFx","includeWidth","createTween","animation","Animation","tweeners","properties","stopped","prefilters","currentTime","startTime","tweens","opts","specialEasing","originalProperties","originalOptions","gotoEnd","propFilter","bind","complete","timer","anim","*","tweener",...

Klaus Post <******@****.***> 1756435188 +0200

//// tab | Linux, macOS

Let's say you install Python and it ends up in a directory `/opt/custompython/bin`.

If you say yes to update the `PATH` environment variable, then the installer will add `/opt/custompython/bin` to the `PATH` environment variable.

It could look like this:

```plaintext
/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/custompython/bin
```

* Add ops to `tensorflow.raw_ops` that were missing.

* `tf.CheckpointOptions`

//// tab | Linux, macOS

Digamos que instalas Python y termina en un directorio `/opt/custompython/bin`.

Si dices que sí para actualizar la variable de entorno `PATH`, entonces el instalador añadirá `/opt/custompython/bin` a la variable de entorno `PATH`.

Podría verse así:

```plaintext
/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/custompython/bin
```

                else -> {
                    profilerParam("async-profiler")
                    param("env.FG_HOME_DIR", "/opt/FlameGraph")
                    param("env.PATH", "%env.PATH%:/opt/swift/4.2.3/usr/bin:/opt/swift/4.2.4-RELEASE-ubuntu18.04/usr/bin")
                    param("env.HP_HOME_DIR", "/opt/honest-profiler")
                }
            }