node {
  name: "cst0"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_FLOAT
        tensor_shape {
          dim {
            size: 4
          }
        }
        float_val: 1.0
        float_val: 2.0
        float_val: 3.0
        float_val: 4.0
      }
    }
  }
}
node {

node {
  name: "Prune"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_INT32
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_INT32
        tensor_shape {
        }
        int_val: 0
      }
    }
  }
}
node {
  name: "Add"
  op: "Add"
  input: "input0"
  input: "input1"
  attr {
    key: "T"
    value {
      type: DT_INT32

  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_QUINT8
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_QUINT8
        tensor_shape {
        }
        int_val: 7
      }
    }
  }
}
library {
}
versions {
  producer: 70
}

# CHECK: tf.Const

#include <variant>
#include <vector>

#include "absl/status/status.h"
#include "absl/types/variant.h"
#include "xla/client/compile_only_client.h"
#include "xla/pjrt/compile_options.pb.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/tpu/kernels/tpu_compile.pb.h"
#include "tensorflow/core/tpu/kernels/tpu_compile_op_support.h"

namespace tensorflow {
namespace tf2xla {
namespace v1 {

  op: "Const"
  input: "^input"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_FLOAT
        tensor_shape {
        }
        float_val: 1
      }
    }
  }
}
node {
  name: "output_node"
  op: "Identity"
  input: "variable_node"
  input: "^input"
  attr {
    key: "T"
    value {

==============================================================================*/

#include "tensorflow/c/tf_shape.h"

#include <stdint.h>

#include "tensorflow/c/tf_shape_internal.h"
#include "tensorflow/core/framework/tensor_shape.h"

extern "C" {

TF_Shape* TF_NewShape() {
  return tensorflow::wrap(new tensorflow::PartialTensorShape());
}

int TF_ShapeDims(const TF_Shape* shape) {
  return tensorflow::unwrap(shape)->dims();
}

==============================================================================*/

#include "tensorflow/c/experimental/saved_model/core/tensor_spec.h"

#include <initializer_list>

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

namespace tensorflow {

TensorSpec::TensorSpec()
    : shape_(std::initializer_list<int64_t>()), dtype_(DT_FLOAT) {}

  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_FLOAT
        tensor_shape {
          dim {
            size: 3
          }
          dim {
            size: 3
          }
          dim {
            size: 3
          }
          dim {
            size: 32
          }

        key: "dtype"
        value {
          type: DT_UINT8
        }
      }
      attr {
        key: "value"
        value {
          tensor {
            dtype: DT_UINT8
            tensor_shape {
            }
            int_val: 5
          }
        }
      }
    }
    node_def {
      name: "Identity"
      op: "Identity"
      input: "Const:output:0"
      attr {
        key: "T"

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

namespace tensorflow {
namespace mangling_util {
// The type of a mangled string.
enum class MangledKind { kUnknown, kDataType, kTensorShape, kTensor };

// Mangles an attribute name, marking the attribute as a TensorFlow attribute.