tf.data.experimental.copy_to_device
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A transformation that copies dataset elements to the given target_device.
tf.data.experimental.copy_to_device(
target_device, source_device='/cpu:0'
)
Args |
|---|
target_device
|
The name of a device to which elements will be copied.
|
source_device
|
The original device on which input_dataset will be placed.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.data.experimental.copy_to_device\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/data/experimental/copy_to_device) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/data/experimental/ops/prefetching_ops.py#L59-L80) |\n\nA transformation that copies dataset elements to the given `target_device`.\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.data.experimental.copy_to_device`](/api_docs/python/tf/data/experimental/copy_to_device), \\`tf.compat.v2.data.experimental.copy_to_device\\`\n\n\u003cbr /\u003e\n\n tf.data.experimental.copy_to_device(\n target_device, source_device='/cpu:0'\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------------|--------------------------------------------------------------|\n| `target_device` | The name of a device to which elements will be copied. |\n| `source_device` | The original device on which `input_dataset` will be placed. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Dataset` transformation function, which can be passed to [`tf.data.Dataset.apply`](../../../tf/data/Dataset#apply). ||\n\n\u003cbr /\u003e"]]
TensorFlow 2 version
View source on GitHub