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Results 21 - 30 of 37 for Implementation (0.2 sec)

  1. tensorflow/compiler/mlir/quantization/common/ir/UniformSupport.h

      // Will be nullptr if conversion is not supported.
      const Type expressed_type;
    };
    
    // Reference implementation of converting between real numbers and values
    // represented by a UniformQuantizedType.
    // Note that this is not expected to be speedy and may be superseded eventually
    // by a more optimal implementation.
    // Also, the interface assumes that quantization is done per-layer and will
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 08 02:10:16 UTC 2024
    - 9.8K bytes
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  2. tensorflow/compiler/mlir/lite/quantization/stablehlo/quantization.h

    // access the assets of the original model. `saved_model_tags` uniquely
    // identifies the `MetaGraphDef`. `quantization_config` determines the behavior
    // of StableHLO Quantizer. `quantization_py_function_lib` contains python
    // implementations of certain APIs that are required for calibration.
    // `module_op` is the input graph to be quantized and it should contain
    // StableHLO ops.
    //
    // Returns a quantized `ModuleOp` in StableHLO, potentially wrapped inside a
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 19 02:44:03 UTC 2024
    - 2.7K bytes
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  3. testing/performance/src/templates/native-dependents-resources/googleTest/libs/googleTest/1.7.0/include/gtest/gtest-spi.h

    //     non-static members of the current object.
    //   - 'statement' cannot return a value.
    //   - You cannot stream a failure message to this macro.
    //
    // Note that even though the implementations of the following two
    // macros are much alike, we cannot refactor them to use a common
    // helper macro, due to some peculiarity in how the preprocessor
    // works.  The AcceptsMacroThatExpandsToUnprotectedComma test in
    Registered: Wed Jun 12 18:38:38 UTC 2024
    - Last Modified: Thu Apr 04 07:21:38 UTC 2024
    - 9.7K bytes
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  4. tensorflow/compiler/mlir/quantization/tensorflow/python/py_function_lib.h

    #include "tensorflow/core/protobuf/meta_graph.pb.h"
    
    namespace tensorflow::quantization {
    
    // Declares pure virtual member functions for a python-side derived class to
    // override. This allows calling python implementations from the C++ layer.
    // Member functions should be pure not stateful; they should not access or rely
    // on member fields.
    class PyFunctionLibrary {
     public:
      virtual ~PyFunctionLibrary() = default;
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 09 06:33:29 UTC 2024
    - 5.2K bytes
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  5. testing/performance/src/templates/native-dependents-resources/googleTest/libs/googleTest/1.7.0/include/gtest/internal/gtest-string.h

      //
      // Unlike wcscasecmp(), this function can handle NULL argument(s).
      // A NULL C string is considered different to any non-NULL wide C string,
      // including the empty string.
      // NB: The implementations on different platforms slightly differ.
      // On windows, this method uses _wcsicmp which compares according to LC_CTYPE
      // environment variable. On GNU platform this method uses wcscasecmp
    Registered: Wed Jun 12 18:38:38 UTC 2024
    - Last Modified: Thu Apr 04 07:21:38 UTC 2024
    - 6.8K bytes
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  6. tensorflow/compiler/jit/deadness_analysis.h

          return other.pred_ != pred_;
        }
    
       private:
        explicit DeadnessPredicate(void* pred) : pred_(pred) {}
    
        // This is really a Predicate*, but we don't want to expose that
        // implementation detail to our clients.  `pred_` has pointer equality so we
        // can just compare the pointer in operator== and operator!=.
        void* pred_;
    
        friend class DeadnessAnalysis;
      };
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 22 06:59:07 UTC 2024
    - 3.3K bytes
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  7. tensorflow/compiler/mlir/quantization/stablehlo/cc/io.h

    // `tsl::Env::Default` is used to generate the name.
    absl::StatusOr<std::string> GetLocalTmpFileName();
    
    // Creates a temporary directory on an environment defined by the implementation
    // of `tsl::Env` and returns its path. Returns an InternalError status if
    // failed.
    absl::StatusOr<std::string> CreateTmpDir(tsl::Env* env);
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 24 03:28:15 UTC 2024
    - 3.1K bytes
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  8. tensorflow/compiler/mlir/tensorflow/ir/tf_traits.h

    template <typename ConcreteType>
    class LayoutAgnostic : public TraitBase<ConcreteType, LayoutAgnostic> {};
    
    // Trait to indicate operations that cannot be duplicated as they might carry
    // certain state around within their implementations.
    template <typename ConcreteType>
    class CannotDuplicate : public TraitBase<ConcreteType, CannotDuplicate> {
     public:
      static LogicalResult verifyTrait(Operation* op) {
        if (isMemoryEffectFree(op))
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 12.7K bytes
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  9. testing/performance/src/templates/native-dependents-resources/googleTest/libs/googleTest/1.7.0/include/gtest/gtest-test-part.h

    // current test part result reporter. Besides checking if fatal failures were
    // reported, it only delegates the reporting to the former result reporter.
    // The original result reporter is restored in the destructor.
    // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM.
    class GTEST_API_ HasNewFatalFailureHelper
        : public TestPartResultReporterInterface {
     public:
      HasNewFatalFailureHelper();
      virtual ~HasNewFatalFailureHelper();
    Registered: Wed Jun 12 18:38:38 UTC 2024
    - Last Modified: Thu Apr 04 07:21:38 UTC 2024
    - 6.4K bytes
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  10. tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h

            // The default nudging implementation of mlir quant library might cause
            // clamping during inference if the calibration range isn't wide enough.
            // So here we adjust the range to include 0.0.
            rmin = std::min(rmin, 0.0);
            rmax = std::max(rmax, 0.0);
            if (num_bits == 16) {
              // TODO: b/266536261 - Since the kernel implementation assumes that
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 24 20:30:06 UTC 2024
    - 41.7K bytes
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