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Mapping from logical cores in a computation to the physical TPU topology.
tf.tpu.experimental.DeviceAssignment( topology, core_assignment )
Prefer to use the DeviceAssignment.build()
helper to construct a DeviceAssignment
; it is easier if less flexible than constructing a DeviceAssignment
directly.
Args | |
---|---|
topology | A Topology object that describes the physical TPU topology. |
core_assignment | A logical to physical core mapping, represented as a rank 3 numpy array. See the description of the core_assignment property for more details. |
Raises | |
---|---|
ValueError | If topology is not Topology object. |
ValueError | If core_assignment is not a rank 3 numpy array. |
Attributes | |
---|---|
core_assignment | The logical to physical core mapping. |
num_cores_per_replica | The number of cores per replica. |
num_replicas | The number of replicas of the computation. |
topology | A Topology that describes the TPU topology. |
build
@staticmethod build( topology, computation_shape=None, computation_stride=None, num_replicas=1 )
coordinates
coordinates( replica, logical_core )
Returns the physical topology coordinates of a logical core.
host_device
host_device( replica=0, logical_core=0, job=None )
Returns the CPU device attached to a logical core.
lookup_replicas
lookup_replicas( task_id, logical_core )
Lookup replica ids by task number and logical core.
Args | |
---|---|
task_id | TensorFlow task number. |
logical_core | An integer, identifying a logical core. |
Returns | |
---|---|
A sorted list of the replicas that are attached to that task and logical_core. |
Raises | |
---|---|
ValueError | If no replica exists in the task which contains the logical core. |
tpu_device
tpu_device( replica=0, logical_core=0, job=None )
Returns the name of the TPU device assigned to a logical core.
tpu_ordinal
tpu_ordinal( replica=0, logical_core=0 )
Returns the ordinal of the TPU device assigned to a logical core.
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/tpu/experimental/DeviceAssignment