String[] c = coords.split(":");
        return Plugin.newBuilder()
                .groupId(c[0])
                .artifactId(c[1])
                .version(c[2])
                .executions(Collections.singletonList(PluginExecution.newBuilder()
                        .id("default-" + c[3])
                        .phase(phase)
                        .goals(Collections.singletonList(c[3]))

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.
Eager mode lets users write imperative-style statements that can be easily
inspected and debugged and it is intended to be used during the development
phase.

                        .location("groupId", location)
                        .location("artifactId", location)
                        .location("version", location)
                        .executions(execs)
                        .dependencies(deps)
                        .build();

                plugins.put(key, plugin);
            }
        }
    }

        echo Finished downloading %WRAPPER_JAR%
    )
)
@REM End of extension

@REM Provide a "standardized" way to retrieve the CLI args that will
@REM work with both Windows and non-Windows executions.
set MAVEN_CMD_LINE_ARGS=%*

%MAVEN_JAVA_EXE% %JVM_CONFIG_MAVEN_PROPS% %MAVEN_OPTS% %MAVEN_DEBUG_OPTS% -classpath %WRAPPER_JAR% "-Dmaven.multiModuleProjectDirectory=%MAVEN_PROJECTBASEDIR%" %WRAPPER_LAUNCHER% %MAVEN_CONFIG% %*

       "  exit 1;"^
       "}"^
       "}"
    if ERRORLEVEL 1 goto error
)

@REM Provide a "standardized" way to retrieve the CLI args that will
@REM work with both Windows and non-Windows executions.
set MAVEN_CMD_LINE_ARGS=%*

%MAVEN_JAVA_EXE% ^
  %JVM_CONFIG_MAVEN_PROPS% ^
  %MAVEN_OPTS% ^
  %MAVEN_DEBUG_OPTS% ^
  -classpath %WRAPPER_JAR% ^

    MAVEN_PROJECTBASEDIR=`cygpath --path --windows "$MAVEN_PROJECTBASEDIR"`
fi

# Provide a "standardized" way to retrieve the CLI args that will
# work with both Windows and non-Windows executions.
MAVEN_CMD_LINE_ARGS="$MAVEN_CONFIG $@"
export MAVEN_CMD_LINE_ARGS

WRAPPER_LAUNCHER=org.apache.maven.wrapper.MavenWrapperMain

exec "$JAVACMD" \
  $MAVEN_OPTS \

#   which mounts your TensorFlow directory into the container.
#
#   Important: because the container is persistent, you cannot change TFCI
#   variables in between script executions. To forcibly remove the
#   container and start fresh, run "docker rm -f tf". Removing the container
#   destroys some temporary bazel data and causes longer builds.
#

// Causes the calling thread to block till all ops dispatched in this executor
// have been executed. Note that "execution" here refers to kernel execution /
// scheduling of copies, etc. Similar to sync execution, it doesn't guarantee
// that lower level device queues (like GPU streams) have been flushed.
//
// This call may not block for execution of ops enqueued concurrently with this
// call.

    && MAVEN_PROJECTBASEDIR=$(cygpath --path --windows "$MAVEN_PROJECTBASEDIR")
fi

# Provide a "standardized" way to retrieve the CLI args that will
# work with both Windows and non-Windows executions.
MAVEN_CMD_LINE_ARGS="$MAVEN_CONFIG $*"
export MAVEN_CMD_LINE_ARGS

WRAPPER_LAUNCHER=org.apache.maven.wrapper.MavenWrapperMain

# shellcheck disable=SC2086 # safe args
exec "$JAVACMD" \
  $MAVEN_OPTS \

    }
    if (TF_GetCode(status_.get()) != TF_OK) {
      TF_SetStatus(status, TF_GetCode(status_.get()),
                   TF_Message(status_.get()));
      // Reset the member `status_` so future op executions (after recovery from
      // the bad `status`) start with an OK status.
      TF_SetStatus(status_.get(), TF_OK, "");
    }
    cancellation_manager_ = nullptr;
    execution_state_ = ExecutionState::kIdle;