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Results 31 - 33 of 33 for Implementation (0.1 sec)

  1. tensorflow/compiler/jit/xla_device.h

        // their declared shapes for computations. Must be non-empty.
        std::vector<XlaShapeLayoutHelpers::ShapeDeterminationFns>
            shape_determination_fns;
    
        // If padded_shape_fn is empty, a default implementation that returns
        // the logical on-device shape without padding is used.
        PaddedShapeFn padded_shape_fn;
    
        // Set of devices to use. This controls which of the devices on the given
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 09:53:30 UTC 2024
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  2. tensorflow/cc/experimental/libtf/value.h

    ///
    /// Hashable TaggedValues overload `AbslHashValue`. Non-hashable structures
    /// return 0.
    template <>
    struct TaggedValueHash<TaggedValue> {
      size_t operator()(const TaggedValue& v) const;
    };
    
    /// @brief Hash implementation for TaggedValue Tuples.
    template <>
    struct TaggedValueHash<Tuple> {
      size_t operator()(const Tuple& t) const;
    };
    
    /// @brief The basic `TaggedValue` tagged union type.
    ///
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 13 05:23:45 UTC 2024
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  3. tensorflow/c/eager/c_api_experimental.h

    TF_CAPI_EXPORT extern void TFE_HostAddressSpace(TFE_Context* ctx,
                                                    TF_Buffer* buf);
    
    // APIs for generically dealing with op attributes (e.g. when forwarding them
    // through custom device implementations).
    //
    // TODO(allenl): Currently these are black boxes, but we should have some way to
    // inspect values. This would let people e.g. copy over most attributes and then
    // modify some based on their values.
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 22:37:46 UTC 2024
    - 39.5K bytes
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