"@local_xla//xla/service/cpu:cpu_compiler",
        "@local_xla//xla/service/cpu:cpu_transfer_manager",
        "@local_xla//xla/stream_executor",
        "@local_xla//xla/stream_executor/host:host_platform",
        "@local_xla//xla/stream_executor/host:host_platform_id",
    ],
    alwayslink = 1,
)

cc_library(
    name = "split_into_island_per_op_pass",

// OpKernelContext routines

// TF_GetStream returns the SP_Stream available in ctx.
// This function returns a stream only for devices registered using the
// StreamExecutor C API
// (tensorflow/c/experimental/stream_executor/stream_executor.h). It will return
// nullptr and set error status in all other cases.
// Experimental: this function doesn't have compatibility guarantees and subject
// to change at any time.

#include "tensorflow/compiler/tf2xla/xla_compiler.h"
#include "tensorflow/compiler/tf2xla/xla_helpers.h"
#include "xla/client/client_library.h"
#include "xla/shape.h"
#include "xla/stream_executor/platform.h"
#include "xla/stream_executor/platform_manager.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/lib/monitoring/cell_reader.h"

#include "tensorflow/compiler/jit/xla_device_compiler_client.h"
#include "xla/client/client_library.h"
#include "xla/client/local_client.h"
#include "xla/pjrt/pjrt_client.h"
#include "xla/service/compiler.h"
#include "xla/stream_executor/platform_manager.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/resource_mgr.h"
#include "tensorflow/core/framework/types.h"

#include "tensorflow/compiler/jit/xla_platform_info.h"
#include "tensorflow/compiler/tf2xla/layout_util.h"
#include "tensorflow/compiler/tf2xla/xla_op_registry.h"
#include "xla/stream_executor/gpu/gpu_init.h"
#include "xla/stream_executor/platform_manager.h"
#include "tensorflow/core/common_runtime/device_factory.h"
#include "tensorflow/core/lib/core/status.h"

namespace tensorflow {

    "//tensorflow/core:lib",
    "//tensorflow/core:state_ops_op_lib",
    "//tensorflow/core/platform:stream_executor_no_cuda",
    "//tensorflow/core/profiler/lib:traceme",
    "@local_xla//xla/stream_executor/integrations:tf_allocator_adapter",
    "@com_google_absl//absl/types:optional",
]

# Linked by tensorflow core, without registration of jit compilation passes.
cc_library(

#include "mlir/Pass/Pass.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf.h"
#include "xla/client/client_library.h"
#include "xla/shape.h"
#include "xla/stream_executor/platform.h"
#include "xla/stream_executor/platform_manager.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"

#include "absl/status/status.h"
#include "absl/strings/str_cat.h"
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/c_api_macros.h"
#include "tensorflow/c/experimental/stream_executor/stream_executor.h"
#include "tensorflow/c/tf_buffer.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_status_helper.h"

        "@local_xla//xla/mlir_hlo:convert_op_folder",
        "@local_xla//xla/mlir_hlo:mhlo_passes",
        "@local_xla//xla/mlir_hlo:type_conversion",
        "@local_xla//xla/stream_executor/tpu:c_api_conversions",
        "@local_xla//xla/stream_executor/tpu:tpu_api",
        "@local_xla//xla/translate/hlo_to_mhlo:attribute_importer",
        "@local_xla//xla/translate/mhlo_to_hlo:type_to_shape",
        "@stablehlo//:chlo_ops",

#include "xla/client/executable_build_options.h"
#include "xla/client/local_client.h"
#include "xla/service/hlo_graph_dumper.h"
#include "xla/status_macros.h"
#include "xla/stream_executor/host/host_platform_id.h"
#include "xla/stream_executor/platform.h"
#include "tensorflow/core/common_runtime/eager/tensor_handle.h"
#include "tensorflow/core/framework/device_base.h"
#include "tensorflow/core/framework/function.h"