"//tensorflow/compiler/mlir/lite/quantization/lite:quantize_model",
        "//tensorflow/compiler/mlir/quantization/common/quantization_lib:quantization_config",
        "//tensorflow/compiler/mlir/lite/sparsity:sparsify_model",
        "//tensorflow/compiler/mlir/quantization/stablehlo/python:pywrap_quantization_lib_impl",

        `tf.math.zeta`.
    *   New endpoints in `tf.quantization` namespace:
        `tf.quantization.dequantize`,
        `tf.quantization.fake_quant_with_min_max_args`,
        `tf.quantization.fake_quant_with_min_max_args_gradient`,
        `tf.quantization.fake_quant_with_min_max_vars`,
        `tf.quantization.fake_quant_with_min_max_vars_gradient`,
        `tf.quantization.fake_quant_with_min_max_vars_per_channel`,

# CROSS-COMPILE ARM64 PYCPP
build:cross_compile_linux_arm64_pycpp_test --config=linux_arm64_pycpp_test
# Tests that fail only when cross-compiled
build:cross_compile_linux_arm64_pycpp_test -//tensorflow/compiler/mlir/quantization/stablehlo:convert_tf_quant_to_mhlo_int_test
# MACOS ARM64 PYCPP