#include "tensorflow/cc/experimental/libtf/impl/scalars.h"
#include "tensorflow/cc/experimental/libtf/impl/string.h"
#include "tensorflow/cc/experimental/libtf/impl/tensor_spec.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/test.h"

namespace tf {
namespace libtf {
namespace impl {

TEST(OStreamTest, TestInt64) {
  Int64 x(42);

#include "absl/strings/match.h"
#include "absl/strings/str_cat.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/parse_text_proto.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/ir/importexport/mangling.h"
#include "tensorflow/core/lib/core/errors.h"
#include "tensorflow/core/platform/protobuf.h"

node {
  name: "const"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_FLOAT
        tensor_shape {
        }
        float_val: 0.0
      }
    }
  }
}
node {
  name: "test_fn_call"
  op: "StatefulPartitionedCall"
  input: "const"
  attr {
    key: "Tin"
    value {
      list {

    ShapedType tensor_shape, const bool is_lhs,
    SmallVector<int64_t> &opponent_shape) {
  int opponent_required_dim = xladot_output_rank;
  int used_rank = tensor_shape.getRank();

  if (is_lhs) {
    used_rank -= dnums.lhs_contracting_dimensions_size();
    for (int64_t v : dnums.lhs_contracting_dimensions()) {
      opponent_shape.push_back(tensor_shape.getDimSize(v));
    }
  } else {

// CHECK-NEXT:       }
// CHECK-NEXT:       attr {
// CHECK-NEXT:         key: "value"
// CHECK-NEXT:         value {
// CHECK-NEXT:           tensor {
// CHECK-NEXT:             dtype: DT_INT32
// CHECK-NEXT:             tensor_shape {
// CHECK-NEXT:             }
// CHECK-NEXT:             int_val: 1
// CHECK-NEXT:           }
// CHECK-NEXT:         }
// CHECK-NEXT:       }
// CHECK:          }
// CHECK:          node_def {

#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.h"
#include "tsl/platform/statusor.h"

namespace tensorflow {

static size_t GetTensorSize(const TensorShape& shape, const DataType dtype) {
  return shape.num_elements() * DataTypeSize(dtype);
}

absl::StatusOr<Tensor> MakeTensorFromPjRtBuffer(
    const DataType dtype, const TensorShape& shape,

#ifndef TENSORFLOW_CC_EXPERIMENTAL_LIBTF_IMPL_TENSOR_SPEC_H_
#define TENSORFLOW_CC_EXPERIMENTAL_LIBTF_IMPL_TENSOR_SPEC_H_

#include <iosfwd>

#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"

namespace tf {
namespace libtf {
namespace impl {
/// @brief The TensorSpec struct.
///
/// The TensorSpec describes the shape and dtype of a Tensor.

#ifndef TENSORFLOW_C_EXPERIMENTAL_SAVED_MODEL_CORE_TENSOR_SPEC_H_
#define TENSORFLOW_C_EXPERIMENTAL_SAVED_MODEL_CORE_TENSOR_SPEC_H_

#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/protobuf/struct.pb.h"

namespace tensorflow {

// Note(bmzhao): TensorSpec deliberately does not store the "name" from a

#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project
#include "mlir/IR/Operation.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"
#include "tfrt/bef/bef_buffer.h"  // from @tf_runtime
#include "tfrt/core_runtime/tensor_handle.h"  // from @tf_runtime

#include "tensorflow/c/eager/immediate_execution_operation.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"
#include "tensorflow/core/framework/resource_handle.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/lib/gtl/inlined_vector.h"
#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h"
#include "tensorflow/core/platform/errors.h"