TEST ASSET FILE CONTENTS...

asset-file-contents...

asset-file-contents...

        }

        @Override
        public boolean contains(Object o) {
            return asSet.contains(o);
        }

        @Override
        public boolean containsAll(Collection<?> c) {
            return asSet.containsAll(c);
        }

        @Override
        public int size() {
            return size;
        }
    }

// the value `checkpoint_path`.
// Also adds SessionInitializer op.
absl::Status AddSessionInitializerAndInlineCheckpoint(
    ModuleOp module, absl::string_view checkpoint_path);

// Creates a pass that sinks SavedModel asset filenames to constants.
std::unique_ptr<mlir::OperationPass<mlir::ModuleOp>> CreateAssetSinkingPass(
    llvm::StringRef saved_model_dir);

}  // namespace tf_saved_model
}  // namespace mlir

  "tf_saved_model.session_initializer"() {initializers = [@legacy_init_op]} : () -> ()
  "tf_saved_model.asset"() {filename = "assets/foo.txt", sym_name = "asset"} : () -> ()
  // CHECK: @legacy_init_op
  func.func @legacy_init_op(%arg0: tensor<!tf_type.string> {tf_saved_model.bound_input = @asset}) attributes {tf_saved_model.exported_names = ["f"]} {

#include <memory>
#include <unordered_map>

#include "absl/container/flat_hash_map.h"
#include "tensorflow/c/experimental/saved_model/core/revived_types/asset.h"
#include "tensorflow/c/experimental/saved_model/core/revived_types/constant.h"
#include "tensorflow/c/experimental/saved_model/core/revived_types/restored_resource.h"

        this.capabilities = capabilities;
    }

    @Override
    public List<? extends Capability> getCapabilities() {
        return capabilities.asSet().asList();
    }

// Sets up and runs the passes for exporting `module_op`. The behavior of the
// exporting passes is controlled by `export_opts`. Returns `AssetFileDef`s that
// associate the input arguments of @main and the asset file names. Asset file
// names will be used to feed the corresponding tensors during initialization
// upon model loading.
// TODO: b/329206105 - Add unit tests after decomposing post processing passes.

  "tf_saved_model.global_tensor"() {is_mutable, sym_name = "y", type = tensor<3x1xi32>, value = dense<[[1], [2], [3]]> : tensor<3x1xi32>} : () -> ()
  "tf_saved_model.asset"() {sym_name = "z", filename = "file"} : () -> ()
  func.func @serving_default(
      %arg0: tensor<1x3xi32> {tf_saved_model.index_path = ["x"]},
      %arg1: tensor<!tf_type.resource<tensor<3x1xi32>>> {tf_saved_model.bound_input = @y},