// This file extends/implements core graph optimizer base classes in terms of
// the C API defined in grappler.h. A class "CSomething" represents a
// "Something" that can be manipulated via calls in the C interface and a C
// struct called "TP_Something".

#include "tensorflow/c/experimental/grappler/grappler.h"

#include <algorithm>
#include <cstddef>
#include <cstring>
#include <string>
#include <unordered_map>

TensorFlower Gardener <******@****.***> 1659550123 -0700

)

cc_library(
    name = "grappler_hdrs",
    hdrs = ["grappler.h"],
    visibility = ["//tensorflow:internal"],
    deps = [
        "//tensorflow/c:c_api",
        "//tensorflow/c:c_api_macros",
        "//tensorflow/c:tf_status_headers",
    ],
)

cc_library(
    name = "grappler",
    srcs = ["grappler.cc"],
    hdrs = [
        "grappler.h",
        "grappler_internal.h",
    ],

#include "tensorflow/c/experimental/grappler/grappler.h"

#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/experimental/grappler/grappler_internal.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/grappler/clusters/single_machine.h"
#include "tensorflow/core/grappler/costs/graph_properties.h"

#include "tensorflow/c/experimental/grappler/grappler.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/grappler/optimizers/custom_graph_optimizer.h"
#include "tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/protobuf/rewriter_config.pb.h"

namespace tensorflow {
namespace grappler {

#include "tensorflow/core/common_runtime/device_factory.h"
#include "tensorflow/core/common_runtime/device_mgr.h"
#include "tensorflow/core/grappler/clusters/virtual_cluster.h"
#include "tensorflow/core/grappler/grappler_item.h"
#include "tensorflow/core/grappler/grappler_item_builder.h"
#include "tensorflow/core/grappler/optimizers/meta_optimizer.h"
#include "tensorflow/core/protobuf/meta_graph.pb.h"

namespace tensorflow {
namespace {

        "//tensorflow/core/grappler:grappler_item",
        "//tensorflow/core/grappler:grappler_item_builder",
        "//tensorflow/core/grappler/clusters:virtual_cluster",
        "//tensorflow/core/grappler/optimizers:meta_optimizer",
        "//tensorflow/core/protobuf:for_core_protos_cc",
        "@llvm-project//llvm:Support",
    ],

#include <string>

#include "tensorflow/compiler/mlir/mlir_graph_optimization_pass.h"

namespace mlir {
namespace TF {

// Bundle generic MLIR graph optimization passes (some derived from TF Grappler
// graph optimizers) into a single MLIR optimization pass.
class MlirGraphOptimizationPass : public ::tensorflow::MlirOptimizationPass {
 public:
  llvm::StringRef name() const override { return "graph_optimization"; }

    }
    for (const auto& input : specs.inputs) {
      terminal_nodes.push_back(input.first);
    }
    TF_RETURN_IF_ERROR(tensorflow::grappler::SetTransitiveFaninGraph(
        graphdef, &pruned_graph_def, terminal_nodes));
    // TODO(ashwinm): Add a separate utility in grappler utils that abstracts
    // both SetTransitiveFaninGraph and restoring the missing contents from the

        "//tensorflow/core/grappler/clusters:cluster",
        "//tensorflow/core/grappler/clusters:single_machine",
        "//tensorflow/core/grappler/clusters:virtual_cluster",
        "//tensorflow/core/grappler/costs:graph_memory",
        "//tensorflow/core/grappler/graph_analyzer:graph_analyzer_tool",
        "//tensorflow/core/grappler/optimizers:meta_optimizer",