tf.compat.v1.ragged.placeholder

Creates a placeholder for a tf.RaggedTensor that will always be fed.

tf.compat.v1.ragged.placeholder(
    dtype, ragged_rank, value_shape=None, name=None
)

Migrate to TF2

This API is not compatible with eager execution and tf.function. To migrate to TF2, rewrite the code to be compatible with eager execution. Check the migration guide on replacing Session.run calls. In TF2, you can just pass tensors directly into ops and layers. If you want to explicitly set up your inputs, also see Keras functional API on how to use tf.keras.Input to replace tf.compat.v1.ragged.placeholder. tf.function arguments also do the job of tf.compat.v1.ragged.placeholder. For more details please read Better performance with tf.function.

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 2023-10-06 UTC.