tf.ragged.placeholder
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Creates a placeholder for a tf.RaggedTensor that will always be fed.
tf.ragged.placeholder(
dtype, ragged_rank, value_shape=None, name=None
)
@compatibility{eager} Placeholders are not compatible with eager execution.
Args |
|---|
dtype
|
The data type for the RaggedTensor.
|
ragged_rank
|
The ragged rank for the RaggedTensor
|
value_shape
|
The shape for individual flat values in the RaggedTensor.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A RaggedTensor that may be used as a handle for feeding a value, but
not evaluated directly.
|
Raises |
|---|
RuntimeError
|
if eager execution is enabled
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.ragged.placeholder\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/ops/ragged/ragged_factory_ops.py#L316-L349) |\n\nCreates a placeholder for a [`tf.RaggedTensor`](../../tf/RaggedTensor) that will always be fed.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.ragged.placeholder`](/api_docs/python/tf/compat/v1/ragged/placeholder)\n\n\u003cbr /\u003e\n\n tf.ragged.placeholder(\n dtype, ragged_rank, value_shape=None, name=None\n )\n\n| **Key Point:** This ragged tensor will produce an error if evaluated. Its value must be fed using the `feed_dict` optional argument to [`Session.run()`](../../tf/InteractiveSession#run), [`Tensor.eval()`](../../tf/Tensor#eval), or [`Operation.run()`](../../tf/Operation#run).\n\n@compatibility{eager} Placeholders are not compatible with eager execution.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|-------------------------------------------------------------|\n| `dtype` | The data type for the `RaggedTensor`. |\n| `ragged_rank` | The ragged rank for the `RaggedTensor` |\n| `value_shape` | The shape for individual flat values in the `RaggedTensor`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `RaggedTensor` that may be used as a handle for feeding a value, but not evaluated directly. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|----------------|-------------------------------|\n| `RuntimeError` | if eager execution is enabled |\n\n\u003cbr /\u003e"]]
View source on GitHub