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Unverified Commit 84b9579d authored by Matt's avatar Matt Committed by GitHub
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Remove unneeded `to_tensor()` in TF inline example (#14140)

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docs/source/training.rst
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...@@ -240,11 +240,11 @@ Then we convert everything in big tensors and use the :obj:`tf.data.Dataset.from ...@@ -240,11 +240,11 @@ Then we convert everything in big tensors and use the :obj:`tf.data.Dataset.from
.. code-block:: python .. code-block:: python
train_features = {x: tf_train_dataset[x].to_tensor() for x in tokenizer.model_input_names} train_features = {x: tf_train_dataset[x] for x in tokenizer.model_input_names}
train_tf_dataset = tf.data.Dataset.from_tensor_slices((train_features, tf_train_dataset["label"])) train_tf_dataset = tf.data.Dataset.from_tensor_slices((train_features, tf_train_dataset["label"]))
train_tf_dataset = train_tf_dataset.shuffle(len(tf_train_dataset)).batch(8) train_tf_dataset = train_tf_dataset.shuffle(len(tf_train_dataset)).batch(8)
eval_features = {x: tf_eval_dataset[x].to_tensor() for x in tokenizer.model_input_names} eval_features = {x: tf_eval_dataset[x] for x in tokenizer.model_input_names}
eval_tf_dataset = tf.data.Dataset.from_tensor_slices((eval_features, tf_eval_dataset["label"])) eval_tf_dataset = tf.data.Dataset.from_tensor_slices((eval_features, tf_eval_dataset["label"]))
eval_tf_dataset = eval_tf_dataset.batch(8) eval_tf_dataset = eval_tf_dataset.batch(8)
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