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

cc_library(
    name = "embedding_pipelining",
    srcs = ["embedding_pipelining.cc"],
    hdrs = [
        "sparsecore_passes.h",
    ],
    deps = [
        ":sparsecore_passes_inc_gen",
        "//tensorflow/compiler/jit:flags_headers",

        # Restricting visibility for now
        "//tensorflow/c/experimental/saved_model/core:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "restore_ops",
    srcs = [
        "restore_ops.cc",
    ],
    hdrs = [
        "restore_ops.h",
    ],
    deps = [
        "//tensorflow/c:tensor_interface",
        "//tensorflow/c/eager:abstract_tensor_handle",

    implementation = _impl,
)

def junit_tests(name, srcs, **kwargs):
    s_name = name.replace("-", "_") + "TestSuite"
    _GenSuite(
        name = s_name,
        srcs = srcs,
        outname = s_name,
    )
    java_test(
        name = name,
        test_class = s_name,
        srcs = srcs + [":" + s_name],
        **kwargs
    )
    '''
    }

        fail("'src' %s conflicts with op Python wrapper. Rename it to be different from 'name'." % src)

    py_deps = [
        "//tensorflow/compiler/mlir/tfr:op_reg_gen",
        "//tensorflow/compiler/mlir/tfr:tfr_gen",
        "//tensorflow/compiler/mlir/tfr:composite",
    ] + deps

    gen_op_lib_exec = src[:-3]  # Strip off the .py
    py_strict_binary(
        name = gen_op_lib_exec,

)

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)
		}

    ],
    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 = [