tfr.data.parse_from_tf_example
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Parse function to convert tf.train.Example to feature maps.
tfr.data.parse_from_tf_example(
serialized,
context_feature_spec=None,
example_feature_spec=None,
size_feature_name=None,
mask_feature_name=None
)
Args |
|---|
serialized
|
(tf.train.Example) A serialized proto object containing
context and example features.
|
context_feature_spec
|
(dict) A mapping from feature keys to
FixedLenFeature, VarLenFeature or RaggedFeature values for context
in tf.train.Example proto.
|
example_feature_spec
|
(dict) A mapping from feature keys to
FixedLenFeature, VarLenFeature or RaggedFeature values for examples
in tf.train.Example proto.
|
size_feature_name
|
(str) Name of feature for example list sizes. Populates
the feature dictionary with a tf.int32 Tensor of shape [batch_size] for
this feature name. If None, which is default, this feature is not
generated.
|
mask_feature_name
|
(str) Name of feature for example list masks. Populates
the feature dictionary with a tf.bool Tensor of shape [batch_size,
list_size] for this feature name. If None, which is default, this feature
is not generated.
|
Returns |
|---|
A mapping from feature keys to Tensor, SparseTensor or RaggedTensor.
|
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Last updated 2023-08-18 UTC.
[null,null,["Last updated 2023-08-18 UTC."],[],[],null,["# tfr.data.parse_from_tf_example\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/ranking/blob/v0.5.3/tensorflow_ranking/python/data.py#L1348-L1395) |\n\nParse function to convert [`tf.train.Example`](https://www.tensorflow.org/api_docs/python/tf/train/Example) to feature maps. \n\n tfr.data.parse_from_tf_example(\n serialized,\n context_feature_spec=None,\n example_feature_spec=None,\n size_feature_name=None,\n mask_feature_name=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `serialized` | ([`tf.train.Example`](https://www.tensorflow.org/api_docs/python/tf/train/Example)) A serialized proto object containing context and example features. |\n| `context_feature_spec` | (dict) A mapping from feature keys to `FixedLenFeature`, `VarLenFeature` or `RaggedFeature` values for context in [`tf.train.Example`](https://www.tensorflow.org/api_docs/python/tf/train/Example) proto. |\n| `example_feature_spec` | (dict) A mapping from feature keys to `FixedLenFeature`, `VarLenFeature` or `RaggedFeature` values for examples in [`tf.train.Example`](https://www.tensorflow.org/api_docs/python/tf/train/Example) proto. |\n| `size_feature_name` | (str) Name of feature for example list sizes. Populates the feature dictionary with a [`tf.int32`](https://www.tensorflow.org/api_docs/python/tf#int32) Tensor of shape \\[batch_size\\] for this feature name. If None, which is default, this feature is not generated. |\n| `mask_feature_name` | (str) Name of feature for example list masks. Populates the feature dictionary with a [`tf.bool`](https://www.tensorflow.org/api_docs/python/tf#bool) Tensor of shape \\[batch_size, list_size\\] for this feature name. If None, which is default, this feature is not generated. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A mapping from feature keys to `Tensor`, `SparseTensor` or `RaggedTensor`. ||\n\n\u003cbr /\u003e"]]
View source on GitHub