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Results 1 - 6 of 6 for SingleBlockImplicitTerminator (0.58 sec)

  1. tensorflow/compiler/mlir/tensorflow/ir/tf_device_ops.td

    // Base class for the operation in this dialect.
    class TfDevice_Op<string mnemonic, list<Trait> traits = []> :
        Op<TfDevice_Dialect, mnemonic, traits> { }
    
    def TfDevice_LaunchOp : TfDevice_Op<"launch",
        [SingleBlockImplicitTerminator<"ReturnOp">]> {
      let summary = [{
    The `tf_device.launch` op launches containing operations on target device.
      }];
    
      let description = [{
    This op captures all needed live-in values.
      }];
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 23 23:53:20 UTC 2024
    - 14.8K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/ir/tf_executor_ops.td

        Op<TfExecutor_Dialect, mnemonic, traits> {
    
      let hasVerifier = 1;
      let hasCustomAssemblyFormat = 1;
    }
    
    def TfExecutor_GraphOp : TfExecutor_Op<"graph",
        [SingleBlockImplicitTerminator<"FetchOp">]> {
      let summary = [{The `tf_executor.graph` operation contains a region with a
        single block that lists the operations in a TensorFlow graph.}];
    
    
      let description = [{
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 23 19:35:12 UTC 2023
    - 22K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.td

    // derived from other ports by the target specification of the kernel.
    def quantfork_QuantizeRegionOp : quantfork_Op<"region", [
        Pure,
        IsolatedFromAbove,
        SingleBlockImplicitTerminator<"ReturnOp">]> {
      let summary = [{
        The `region` operation wraps high-precision ops as a logical low-precision
        quantized kernel.
      }];
    
      let arguments = (ins Variadic<AnyType>:$inputs,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Oct 13 12:46:08 UTC 2022
    - 10.2K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/common/ir/QuantOps.td

    // derived from other ports by the target specification of the kernel.
    def Quantization_QuantizeRegionOp : Quantization_Op<"region", [
        Pure,
        IsolatedFromAbove,
        SingleBlockImplicitTerminator<"ReturnOp">]> {
      let summary = [{
        The `region` operation wraps high-precision ops as a logical low-precision
        quantized kernel.
      }];
    
      let arguments = (ins Variadic<AnyType>:$inputs,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 09 03:10:59 UTC 2024
    - 10.2K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td

        void get_branch_functions(SmallVectorImpl<func::FuncOp> &functions) {
          return ResolveBranchFunctions(nullptr, functions);
        }
      }];
    }
    
    def TF_CaseRegionOp : TF_Op<"CaseRegion",
          [SingleBlockImplicitTerminator<"YieldOp">, NoRegionArguments]> {
      let summary = [{
    An n-way switch statement which calls a single branch function.
      }];
    
      let description = [{
    An n-way switch statement, implementing the following:
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 24 04:08:35 UTC 2024
    - 90.5K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/ir/tfl_ops.td

      let hasOptions = 1;
    
      let hasFolder = 1;
    }
    
    def TFL_PolyCallOp : Op<TFL_Dialect, "poly_call", [
        DeclareOpInterfaceMethods<RegionBranchOpInterface>,
        SingleBlockImplicitTerminator<"YieldOp">]> {
      let summary = [{Poly call}];
    
      let description = [{
        Have multiple function bodies for the same computation. This allows a
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 186K bytes
    - Viewed (0)
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