Method as_dict

tensorflow/tensorflow/python/training/server_lib.py:335–360 · view source on GitHub ↗

Returns a dictionary from job names to their tasks. For each job, if the task index space is dense, the corresponding value will be a list of network addresses; otherwise it will be a dictionary mapping (sparse) task indices to the corresponding addresses. Returns: A dict

(self)

Source from the content-addressed store, hash-verified

source not stored for this graph (policy: none)

Callers 15

testProtoDictDefEquivalencesMethod · 0.95

testProtoDictDefEquivalencesWithZeroWorkerMethod · 0.95

testClusterSpecAccessorsMethod · 0.95

__str__Method · 0.95

get_num_workersFunction · 0.45

_test_simple_incrementMethod · 0.45

_test_minimize_loss_graphMethod · 0.45

uidMethod · 0.45

_count_psFunction · 0.45

_count_workerFunction · 0.45

test_values_from_tf_configMethod · 0.45

test_uid_for_deepcopyMethod · 0.45

Calls 4

task_indicesMethod · 0.95

job_tasksMethod · 0.95

task_addressMethod · 0.95

maxFunction · 0.50

Tested by 15

testProtoDictDefEquivalencesMethod · 0.76

testProtoDictDefEquivalencesWithZeroWorkerMethod · 0.76

testClusterSpecAccessorsMethod · 0.76

get_num_workersFunction · 0.36

_test_simple_incrementMethod · 0.36

_test_minimize_loss_graphMethod · 0.36

test_values_from_tf_configMethod · 0.36

test_uid_for_deepcopyMethod · 0.36

testPS2TasksWithClusterSpecDictMethod · 0.36

assert_same_clusterMethod · 0.36

_mock_run_std_serverMethod · 0.36

_test_simple_incrementMethod · 0.36