)

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

cc_library(
    name = "cpp",
    srcs = glob(
        ["*.cc"],
        exclude = ["*_test.cc"],
    ),
    hdrs = glob(["*.h"]),
    visibility = ["//tensorflow/c/experimental/ops/gen:__pkg__"],
    deps = [

        "//learning/brain/mlir/quantization:__subpackages__",
        "//tensorflow/compiler/mlir/quantization:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "save_variables",
    srcs = ["save_variables.cc"],
    hdrs = ["save_variables.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/core:framework",

)

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

cc_library(
    name = "renderers",
    srcs = glob(
        ["*.cc"],
        exclude = ["*_test.cc"],
    ),
    hdrs = glob(["*.h"]),
    visibility = ["//tensorflow/c/experimental/ops/gen/cpp:__pkg__"],
    deps = [

        "//tensorflow/python:__pkg__",
    ],
    licenses = ["notice"],
)

# copybara:uncomment_begin(google-only)
# tf_py_strict_test(
#     name = "tensorflow_to_stablehlo_test",
#     testonly = 1,
#     srcs = ["integration_test/tensorflow_to_stablehlo_test.py"],
#     deps = [
#         ":pywrap_tensorflow_to_stablehlo",
#         "//testing/pymocks:matchers",
#         "//third_party/py/mlir",

	dst0 := image.NewRGBA(image.Rect(0, 0, 100, 100))
	src0 := image.NewRGBA(image.Rect(0, 0, 100, 100))
	mask0 := image.NewRGBA(image.Rect(0, 0, 100, 100))
	for _, c := range clipTests {
		dst := dst0.SubImage(c.dr).(*image.RGBA)
		src := src0.SubImage(c.sr).(*image.RGBA)
		r, sp, mp := c.r, c.sp, c.mp
		if c.nilMask {
			clip(dst, &r, src, &sp, nil, nil)
		} else {
			clip(dst, &r, src, &sp, mask0.SubImage(c.mr), &mp)
		}

    ]) + 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",

    ],
    licenses = ["notice"],
)

cc_library(
    name = "min_max_value",
    srcs = [],
    hdrs = ["min_max_value.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [],
)

cc_library(
    name = "statistics",
    srcs = ["statistics.cc"],
    hdrs = ["statistics.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [

    ],
)

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

cc_library(
    name = "tf_to_uniform_attribute_utils",
    srcs = ["tf_to_uniform_attribute_utils.cc"],

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

cc_library(
    name = "array_ops",
    srcs = [
        "array_ops.cc",
    ],
    hdrs = [
        "array_ops.h",
    ],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/c/eager:abstract_context",

tf_cc_binary(
    name = "tfl_quantizer",
    srcs = [
        "tfl_quantizer.cc",
    ],
    deps = [
        ":quantize_model",
        "//tensorflow/compiler/mlir/lite/schema:schema_fbs",
        "//tensorflow/lite:framework",
        "//tensorflow/lite/c:c_api_types",
        "@llvm-project//llvm:Support",
    ],
)

tf_cc_test(
    name = "quantize_model_test",
    srcs = ["quantize_model_test.cc"],
    args = [