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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
} def TF_TPURoundRobinOp : TF_Op<"TPURoundRobin", []> { let summary = "Round-robin load balancing on TPU cores."; let description = [{ A load balancing op that round-robins among TPU cores. This op round-robins between the integers in [0, NumTPUCoresVisiblePerHost]. It is useful for interfacing with TensorFlow ops that take as input a TPU core on
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
RELEASE.md
## Major Features and Improvements * Support for Python3.9 has been added. * `tf.data`: * `tf.data` service now supports strict round-robin reads, which is useful for synchronous training workloads where example sizes vary. With strict round robin reads, users can guarantee that consumers get similar-sized examples in the same step.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)