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  1. tensorflow/c/eager/c_api_experimental.h

                                void* device_info) = nullptr;
    
      // Pins the op to `device` based on inputs to `op`. Returns true
      // signifying to pin to the current custom device. Returns false
      // to pin to the physical device.
      //
      // This function is guaranteed to be called only when all of the custom-device
      // inputs are on this device.
      bool (*shall_pin_to_this_device)(const TFE_Op* op, TF_Status* s) = nullptr;
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Wed Feb 21 22:37:46 GMT 2024
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  2. tensorflow/c/eager/tape.h

      //
      // This is a no-op if the tensor is already being watched either from an
      // earlier call to `GradientTape::Watch` or being an output of an op with
      // watched inputs.
      void Watch(int64_t tensor_id);
    
      // Records an operation with inputs `input_tensor_id` and outputs
      // `output_tensors` on the tape and marks all its outputs as watched if at
      // least one input of the op is watched and has trainable dtype.
      //
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 02 12:40:29 GMT 2024
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  3. tensorflow/c/eager/unified_api_testutil.h

    // Creates parameters (placeholders) in the tracing `ctx` using the shape and
    // dtype of `inputs`.
    Status CreateParamsForInputs(AbstractContext* ctx,
                                 absl::Span<AbstractTensorHandle* const> inputs,
                                 std::vector<AbstractTensorHandle*>* params);
    
    // A callable that takes tensor inputs and returns zero or more tensor outputs.
    using Model = std::function<Status(AbstractContext*,
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Feb 27 13:57:45 GMT 2024
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