],
)

cc_library(
    name = "tf_file_statistics",
    hdrs = ["tf_file_statistics.h"],
    visibility = ["//visibility:public"],
)

cc_library(
    name = "tensor_interface",
    hdrs = ["tensor_interface.h"],
    visibility = ["//tensorflow:internal"],
    deps = select({
        "//tensorflow:android": [

// a different Allocator as `arg`.
void deallocate_buffer(void* data, size_t len, void* arg);

class TensorInterface : public AbstractTensorInterface {
 public:
  TensorInterface() {}
  explicit TensorInterface(tensorflow::Tensor t) : tensor_(std::move(t)) {}
  ~TensorInterface() override {}

  void Release() override;

  DataType Type() const override;
  int NumDims() const override;

#include "absl/status/status.h"
#include "absl/strings/str_cat.h"
#include "tensorflow/c/eager/immediate_execution_context.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/cc/saved_model/constants.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/path.h"

namespace tensorflow {

Asset::Asset(ImmediateTensorHandlePtr handle)

#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_TENSOR_HANDLE_H_
#define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_TENSOR_HANDLE_H_

#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Abstract interface to a TensorHandle.
//

#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/c/experimental/saved_model/core/revived_types/tensorhandle_convertible.h"
#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/core/framework/tensor.pb.h"

namespace tensorflow {

// This class corresponds to python's tf.constant, which is effectively a
// TensorHandle explicitly initialized to some value.

#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/c/experimental/saved_model/core/test_utils.h"
#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/cc/saved_model/constants.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/platform/path.h"

#include "tensorflow/c/experimental/saved_model/core/saved_model_utils.h"
#include "tensorflow/c/experimental/saved_model/core/test_utils.h"
#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/core/common_runtime/device_mgr.h"
#include "tensorflow/core/common_runtime/eager/context.h"
#include "tensorflow/core/common_runtime/eager/tensor_handle.h"

#include <memory>

#include "absl/types/optional.h"
#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_operation.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/core/framework/cancellation.h"
#include "tensorflow/core/framework/device_attributes.pb.h"
#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/framework/types.pb.h"

#include <memory>
#include <vector>

#include "absl/types/span.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/core/common_runtime/device_mgr.h"
#include "tensorflow/core/common_runtime/eager/context.h"
#include "tensorflow/core/framework/numeric_types.h"
#include "tensorflow/core/framework/register_types.h"

  bool parse_result = tensor.FromProto(proto);
  if (!parse_result) {
    return errors::Internal("Failed to parse tensor from tensorproto");
  }

  TensorInterface tensor_interface(std::move(tensor));
  return Constant::Create(ctx, &tensor_interface, output);
}

// This follows the python variable restoration logic: