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Results 1 - 5 of 5 for _XlaRun (0.13 sec)

  1. tensorflow/compiler/jit/variable_info.h

      VariableInfo(const VariableInfo&) = delete;
      VariableInfo& operator=(const VariableInfo&) = delete;
    
      // The index of the DT_RESOURCE input to the _XlaCompile/_XlaRun operator.
      // Note that the indices can be different between _XlaCompile and _XlaRun.
      int index() const { return index_; }
    
      // A pointer to the resource variable.  May be null if this VariableInfo is
      // "empty", i.e. it does not track a resource variable.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Feb 14 21:57:02 UTC 2023
    - 3.3K bytes
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  2. tensorflow/compiler/jit/ops/xla_ops.cc

       `compilation_successful` is always true.
    )");
    
    REGISTER_OP("_XlaRun")
        .Input("args: Targs")
        .Attr("Targs: list(type) >= 0")
        .Output("results: Tresults")
        .Attr("Tresults: list(type) >= 0")
        .Input("key: string")
        // XLA random-number generation ops are stateful.
        // TODO(phawkins): create stateful and non-stateful variants of _XlaRun.
        .SetIsStateful()
        .Doc(R"(XLA Run Op. For use by the XLA JIT only.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 09:08:06 UTC 2024
    - 4.5K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/ir/tf_side_effects.h

        : public ::mlir::SideEffects::Resource::Base<WriteTrainingPredictions> {
      StringRef getName() final { return "WriteTrainingPredictions"; }
    };
    
    struct _XlaRun : public ::mlir::SideEffects::Resource::Base<_XlaRun> {
      StringRef getName() final { return "_XlaRun"; }
    };
    
    // Returns true iff resource type with given ID is only self-dependent, i.e.,
    // there are no dependencies to other resource types (including unknown resource
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Dec 26 18:45:40 UTC 2023
    - 4.7K bytes
    - Viewed (0)
  4. tensorflow/compiler/jit/xla_platform_info.h

     private:
      DeviceType device_type_;
      se::Platform::Id platform_id_;
    
      // xla_device_metadata_ lives in the tensorflow::DeviceBase in which the
      // XlaLaunch/_XlaCompile/_XlaRun op is placed and thus does not die before the
      // XlaLaunch/_XlaCompile/_XlaRun OpKernel.
      const XlaDevice::Metadata* xla_device_metadata_;
    
      // pjrt_device_metadata_ lives in tensorflow::PjRtBaseDevice in which the
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 09:53:30 UTC 2024
    - 7.2K bytes
    - Viewed (0)
  5. tensorflow/compiler/jit/build_xla_ops_pass.h

    #include "tensorflow/core/common_runtime/optimization_registry.h"
    #include "tensorflow/core/lib/core/status.h"
    
    namespace tensorflow {
    
    // Replaces TF function calls marked with `_XlaCompiledKernel` with _XlaCompile
    // and _XlaRun nodes (which compile and launch, respectively, the corresponding
    // HLO module).
    class BuildXlaOpsPass : public GraphOptimizationPass {
     public:
      // If enable_lazy_compilation is not nullopt then *enable_lazy_compilation
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jun 03 16:15:20 UTC 2022
    - 1.7K bytes
    - Viewed (0)
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