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Results 1 - 3 of 3 for computations (0.32 sec)

  1. 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
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  2. 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
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  3. 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
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