hub / github.com/alibaba/nann / control_dependencies

Method control_dependencies

tensorflow/tensorflow/python/framework/ops.py:4585–4696 · view source on GitHub ↗

Returns a context manager that specifies control dependencies. Use with the `with` keyword to specify that all operations constructed within the context should have control dependencies on `control_inputs`. For example: ```python with g.control_dependencies([a, b, c]): #

(self, control_inputs)

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Callers 15

testBasicMethod · 0.95

testEagerMethod · 0.95

testBasicWithConversionMethod · 0.95

testNestedMethod · 0.95

testClearMethod · 0.95

testComplexMethod · 0.95

testRepeatedDependencyMethod · 0.95

testNoControlDependencyWithDataDependencyMethod · 0.95

testClearsControlDependenciesMethod · 0.95

step_fnFunction · 0.45

build_modelFunction · 0.45

tf_printFunction · 0.45

Calls 5

_current_control_dependenciesMethod · 0.95

as_graph_elementMethod · 0.95

TypeErrorFunction · 0.85

appendMethod · 0.45

addMethod · 0.45

Tested by 15

testBasicMethod · 0.76

testEagerMethod · 0.76

testBasicWithConversionMethod · 0.76

testNestedMethod · 0.76

testClearMethod · 0.76

testComplexMethod · 0.76

testRepeatedDependencyMethod · 0.76

testNoControlDependencyWithDataDependencyMethod · 0.76

testClearsControlDependenciesMethod · 0.76

bodyMethod · 0.36

create_test_network_7Function · 0.36

_init_qMethod · 0.36