tf.raw_ops.TPUCopyWithDynamicShape
Stay organized with collections
Save and categorize content based on your preferences.
Op that copies host tensor to device with dynamic shape support.
tf.raw_ops.TPUCopyWithDynamicShape(
tensors, unpadded_sizes, name=None
)
For internal use only.
Args:
tensors: A list of Tensor
objects.
unpadded_sizes: A list of Tensor
objects with type int32
.
name: A name for the operation (optional).
Returns:
A list of Tensor
objects. Has the same type as tensors
.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.TPUCopyWithDynamicShape\n\n\u003cbr /\u003e\n\nOp that copies host tensor to device with dynamic shape support.\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.raw_ops.TPUCopyWithDynamicShape`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/TPUCopyWithDynamicShape)\n\n\u003cbr /\u003e\n\n tf.raw_ops.TPUCopyWithDynamicShape(\n tensors, unpadded_sizes, name=None\n )\n\nFor internal use only.\n\nArgs:\ntensors: A list of `Tensor` objects.\nunpadded_sizes: A list of `Tensor` objects with type `int32`.\nname: A name for the operation (optional).\n\nReturns:\nA list of `Tensor` objects. Has the same type as `tensors`."]]