Method unbatch

tensorflow/tensorflow/python/data/ops/dataset_ops.py:1548–1590 · view source on GitHub ↗

Splits elements of a dataset into multiple elements. For example, if elements of the dataset are shaped `[B, a0, a1, ...]`, where `B` may vary for each input element, then for each element in the dataset, the unbatched dataset will contain `B` consecutive elements of shape `[a0, a1,

(self)

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Callers 15

_BatchGradFunction · 0.80

decoratedFunction · 0.80

testUnbatchGradMethod · 0.80

unbatchFunction · 0.80

StreamingFilesDatasetFunction · 0.80

testBasicUnbatchMethod · 0.80

testUnbatchTimeoutMethod · 0.80

testUnbatchWithUnknownRankInputMethod · 0.80

testUnbatchScalarDatasetMethod · 0.80

testUnbatchNestedDatasetMethod · 0.80

testUnbatchDatasetWithStringsMethod · 0.80

testUnbatchDatasetWithSparseTensorMethod · 0.80

Calls 3

mapMethod · 0.95

_UnbatchDatasetClass · 0.85

_RestructuredDatasetClass · 0.70

Tested by 15

testUnbatchGradMethod · 0.64

testBasicUnbatchMethod · 0.64

testUnbatchTimeoutMethod · 0.64

testUnbatchWithUnknownRankInputMethod · 0.64

testUnbatchScalarDatasetMethod · 0.64

testUnbatchNestedDatasetMethod · 0.64

testUnbatchDatasetWithStringsMethod · 0.64

testUnbatchDatasetWithSparseTensorMethod · 0.64

testUnbatchDatasetWithDenseSparseAndRaggedTensorMethod · 0.64

testUnbatchDatasetWithRaggedTensorMethod · 0.64

testUnbatchSingleElementTupleDatasetMethod · 0.64

testUnbatchMultiElementTupleDatasetMethod · 0.64