hub / github.com/alibaba/nann / trainable_variables

Method trainable_variables

tensorflow/tensorflow/python/module/module.py:158–170 · view source on GitHub ↗

Sequence of variables owned by this module and it's submodules. Note: this method uses reflection to find variables on the current instance and submodules. For performance reasons you may wish to cache the result of calling this method if you don't expect the return value to change.

(self)

Source from the content-addressed store, hash-verified

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Callers 15

testVariableRestoreWithArgScopeNestedMethod · 0.45

_CreateRnnGraphMethod · 0.45

_RunRnnMethod · 0.45

trainMethod · 0.45

lossMethod · 0.45

testMultivariateNormalDiagNegLogLikelihoodMethod · 0.45

trainFunction · 0.45

_testRevBlockMethod · 0.45

testReuseMethod · 0.45

testRecomputeMethod · 0.45

testDoubleCallInSameScopeFailsMethod · 0.45

testDoubleCallInUniqueScopeMethod · 0.45

Calls 2

_flattenMethod · 0.95

tupleFunction · 0.85

Tested by 15

testVariableRestoreWithArgScopeNestedMethod · 0.36

_CreateRnnGraphMethod · 0.36

_RunRnnMethod · 0.36

testMultivariateNormalDiagNegLogLikelihoodMethod · 0.36

_testRevBlockMethod · 0.36

testReuseMethod · 0.36

testRecomputeMethod · 0.36

testDoubleCallInSameScopeFailsMethod · 0.36

testDoubleCallInUniqueScopeMethod · 0.36

testWithIsRecomputeKwargMethod · 0.36

testInputLayerWithTrainableArgForDNNMethod · 0.36

testInputLayerWithNonTrainableEmbeddingForDNNMethod · 0.36