],
    cmd = "$(location gen_quantized_function_library) --output_file $(RULEDIR)/passes/quantized_function_library.h --src '$(SRCS)'",
    compatible_with = get_compatible_with_portable(),
    tools = ["gen_quantized_function_library"],
)

cc_library(
    name = "manipulate_model_attr",
    srcs = [
        "passes/manipulate_model_attr.cc",
    ],
    hdrs = [
        "passes/manipulate_model_attr.h",
    ],

				drawPaletted(dst0, r, src, sp, false)
				return
			}
		}
	case *image.NRGBA:
		if op == Src && mask == nil {
			if src0, ok := src.(*image.NRGBA); ok {
				d0 := dst0.PixOffset(r.Min.X, r.Min.Y)
				s0 := src0.PixOffset(sp.X, sp.Y)
				drawCopySrc(
					dst0.Pix[d0:], dst0.Stride, r, src0.Pix[s0:], src0.Stride, sp, 4*r.Dx())
				return
			}
		}
	case *image.NRGBA64:

    ],
)

cc_library(
    name = "legalize_utils",
    srcs = ["utils.cc"],
    hdrs = ["utils.h"],
    deps = [
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@local_xla//xla/mlir_hlo",
    ],
)

cc_library(
    name = "test_utils",
    testonly = True,
    srcs = ["test_utils.cc"],
    hdrs = ["test_utils.h"],
    deps = [

        ":xla_cluster_formation",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Pass",
    ],
)

cc_library(
    name = "verify_clustering_pass",
    srcs = [
        "verify_clustering_pass.cc",
    ],
    deps = [
        ":clustering_passes_inc_gen",
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/compiler/mlir/tensorflow:attribute_utils",

tf_py_strict_test(
    name = "pywrap_quantize_model_test",
    srcs = [
        "pywrap_quantize_model_test.py",
    ],
    deps = [
        ":py_function_lib_py",
        ":pywrap_quantize_model",
        "//tensorflow:tensorflow_py",
        "//tensorflow/python/platform:client_testlib",
    ],
)

pytype_strict_library(
    name = "save_model",
    srcs = [
        "save_model.py",
    ],
    deps = [

		Start:                  src.Start,
		Limit:                  src.Limit,
		Offset:                 src.Offset,
		File:                   src.File,
		KernelRelocationSymbol: src.KernelRelocationSymbol,
		BuildID:                src.BuildID,
		HasFunctions:           src.HasFunctions,
		HasFilenames:           src.HasFilenames,
		HasLineNumbers:         src.HasLineNumbers,
		HasInlineFrames:        src.HasInlineFrames,
	}

)

cc_library(
    name = "utils",
    srcs = [
        "utils/utils.cc",
    ],
    hdrs = [
        "utils/utils.h",
    ],
    deps = [
        ":tfr",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Support",
    ],
)

cc_library(
    name = "passes",
    srcs = [
        "passes/canonicalize.cc",

    ]) + if_google([
        "//tensorflow/core/platform/default/build_config:test_main",
    ]),
)

filegroup(
    name = "quantize_header",
    srcs = ["quantize.h"],
    visibility = ["//visibility:public"],
)

cc_library(
    name = "tfcompile_lib",
    srcs = [
        "codegen.cc",
        "compile.cc",
        "flags.cc",
    ],
    hdrs = [
        "codegen.h",
        "compile.h",

        "@llvm-project//mlir:Support",
    ],
)

cc_library(
    name = "math_utils",
    srcs = ["utils/math_utils.cc"],
    hdrs = ["utils/math_utils.h"],
    compatible_with = get_compatible_with_portable(),
    deps = ["@llvm-project//mlir:Support"],
)

tf_cc_test(
    name = "math_utils_test",
    srcs = ["utils/math_utils_test.cc"],
    deps = [
        ":math_utils",

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

cc_library(
    name = "concrete_function",
    srcs = [
        "concrete_function.cc",
    ],
    hdrs = [
        "//tensorflow/c/experimental/saved_model/public:concrete_function.h",
    ],
    copts = tf_copts(),
    visibility = [