TPU related configuration required by
iterations_per_loop: This is the number of train steps running in TPU system before returning to CPU host for each
Session.run. This means global step is increased
iterations_per_looptimes in one
Session.run. It is recommended to be set as number of global steps for next checkpoint.
num_shards: (Deprecated, ignored by TPUEstimator). The number of model replicas in the system. For non-model-parallelism case, this number equals the total number of TPU cores. For model-parallelism, the total number of TPU cores equals product(computation_shape) * num_shards.
computation_shape: Defaults to
None, which disables model parallelism. A list of size 3 which describes the shape of a model replica's block of cores. This is required by model-parallelism which enables partitioning the model to multiple cores. For example, [2, 2, 1] means the model is partitioned across 4 cores which span two cores in both x and y coordinates. Please refer to
tf.contrib.tpu.Topologyfor the geometry of a TPU mesh.
input_fnis invoked per-host rather than per-core. With per-host input pipeline configuration,
input_fnis invoked once on each host. With the per-core input pipeline configuration, it is invoked once for each core. With a global batch size
TPUEstimatorconstructor, the batch size for each shard is
train_batch_size// #hosts in the
PER_HOST_V2mode, it is
train_batch_size// #cores. With the per-core input pipeline configuration, the shard batch size is also
Note: per_host_input_for_training==PER_SHARD_V1 only supports mode.TRAIN.
tpu_job_name: The name of the TPU job. Typically, this name is auto-inferred within TPUEstimator, however when using ClusterSpec propagation in more esoteric cluster configurations, you may need to specify the job name as a string.
initial_infeed_sleep_secs: The number of seconds the infeed thread should wait before enqueueing the first batch. This helps avoid timeouts for models that require a long compilation time.
Alias for field number 2
Alias for field number 5
Alias for field number 0
Alias for field number 1
Alias for field number 3
Alias for field number 4
@staticmethod __new__( cls, iterations_per_loop=2, num_shards=None, computation_shape=None, per_host_input_for_training=True, tpu_job_name=None, initial_infeed_sleep_secs=None )