tf.distribute.experimental.TPUStrategy

TensorFlow 1 version

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Converts the given type_value to a DType.

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Main aliases

tf.as_dtype

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.as_dtype, tf.compat.v1.dtypes.as_dtype

tf.dtypes.as_dtype(
    type_value
)

Args
`type_value`	A value that can be converted to a `tf.DType` object. This may currently be a `tf.DType` object, a `DataType` enum, a string type name, or a `numpy.dtype`.

Returns
A `DType` corresponding to `type_value`.

Raises
`TypeError`	If `type_value` cannot be converted to a `DType`.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.distribute / experimental / experimental.TPUStrategy

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Args

Returns

Raises