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Results 101 - 102 of 102 for result_types (0.28 sec)

  1. RELEASE.md

        *   Add ellipsis (...) support for `tf.einsum()`.
        *   Add expand_composites argument to all `nest.*` methods.
        *   Added `strings.byte_split`.
        *   Add a new "result_type" parameter to `tf.strings.split`.
        *   Add name argument to `tf.string_split` and `tf.strings_split`.
        *   Extend `tf.strings.split` to support inputs with any rank.
        *   Added `tf.random.binomial`.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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  2. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

      );
    
      let results = (outs
        Variadic<TF_Tensor>:$results
      );
    
      TF_DerivedOperandTypeListAttr operand_dtypes = TF_DerivedOperandTypeListAttr<0>;
      TF_DerivedResultTypeListAttr result_dtypes = TF_DerivedResultTypeListAttr<0>;
    }
    
    def TF_XlaDotOp : TF_Op<"XlaDot", [Pure, TF_NoConstantFold]> {
      let summary = "Wraps the XLA DotGeneral operator, documented at";
    
      let description = [{
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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