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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let description = [{ This operation holds a replicated output from a `tpu.replicate()` computation subgraph. Each replicated output has the same shape and type alongside the input. For example: ``` %computation = "tf.Computation"() %replicated_output:2 = "tf.TPUReplicatedOutput"(%computation) ```
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
* Introducing `tf.types.experimental.AtomicFunction` as the fastest way to perform TF computations in Python. * Can be accessed through `inference_fn` property of `ConcreteFunction`s * Does not support gradients. * See `tf.types.experimental.AtomicFunction` documentation for how to call and use it.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
src/testdata/Isaac.Newton-Opticks.txt
foregoing Theorem by Computation. For in the least refrangible Rays the Sines I and R (as was found above) are 108 and 81, and thence by Computation the greatest Angle AXR will be found 42 Degrees and 2 Minutes, and the least Angle AYS, 50 Degrees and 57 Minutes. And in the most refrangible Rays the Sines I and R are 109 and 81, and thence by Computation the greatest Angle AXR will be found
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Oct 01 16:16:21 UTC 2018 - 553.9K bytes - Viewed (0)