tf.config.experimental.get_memory_growth
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Get if memory growth is enabled for a PhysicalDevice.
tf.config.experimental.get_memory_growth(
device
)
A PhysicalDevice with memory growth set will not allocate all memory on the
device upfront.
For example:
physical_devices = config.experimental.list_physical_devices('GPU')
assert len(physical_devices) > 0, "Not enough GPU hardware devices available"
tf.config.experimental.set_memory_growth(physical_devices[0], True)
assert tf.config.experimental.get_memory_growth(physical_devices[0]) == True
Args |
|---|
device
|
PhysicalDevice to query
|
Returns |
|---|
|
Current memory growth setting.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.config.experimental.get_memory_growth\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/config/experimental/get_memory_growth) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/framework/config.py#L409-L431) |\n\nGet if memory growth is enabled for a PhysicalDevice.\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.config.experimental.get_memory_growth`](/api_docs/python/tf/config/experimental/get_memory_growth), \\`tf.compat.v2.config.experimental.get_memory_growth\\`\n\n\u003cbr /\u003e\n\n tf.config.experimental.get_memory_growth(\n device\n )\n\nA PhysicalDevice with memory growth set will not allocate all memory on the\ndevice upfront.\n\n#### For example:\n\n physical_devices = config.experimental.list_physical_devices('GPU')\n assert len(physical_devices) \u003e 0, \"Not enough GPU hardware devices available\"\n tf.config.experimental.set_memory_growth(physical_devices[0], True)\n assert tf.config.experimental.get_memory_growth(physical_devices[0]) == True\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|-------------------------|\n| `device` | PhysicalDevice to query |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Current memory growth setting. ||\n\n\u003cbr /\u003e"]]
TensorFlow 2 version
View source on GitHub