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Results 1 - 2 of 2 for Change (0.23 sec)

  1. tensorflow/compiler/mlir/lite/ir/tfl_ops.td

      let hasFolder = 1;
    }
    
    def TFL_RangeOp: TFL_Op<"range", [
        Pure,
        TFL_OperandHasRank<0, 0>,
        TFL_OperandHasRank<1, 0>,
        TFL_OperandHasRank<2, 0>,
        PredOpTrait<"operands and output must have same element type",
          And<[TCresVTEtIsSameAsOp<0, 0>, TCresVTEtIsSameAsOp<0, 1>,
               TCresVTEtIsSameAsOp<0, 2>]>>]> {
      let summary = "Range operator";
    
      let description = [{
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 186K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td

      let description = [{
        A pass that propagates device assignment of resources on a module. It
        performs in-function propagation, as well as cross-function propagation from
        callers to callees.
    
        This pass changes the module by adding "tf.device" attribute to function
        arguments and adding "device" attribute to TF ops.
    
        For example, given the function
    
        ```mlir
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 21:18:05 UTC 2024
    - 99.6K bytes
    - Viewed (0)
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