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# Source code for brevitas.core.scaling.int_scaling

    # Copyright (C) 2023, Advanced Micro Devices, Inc. All rights reserved.
    # SPDX-License-Identifier: BSD-3-Clause

    from torch import Tensor

    import brevitas
    from brevitas.function.ops import max_int
    from brevitas.function.ops import min_int

    class IntScaling(brevitas.jit.ScriptModule):
        __constants__ = ['signed', 'narrow_range']

        def __init__(self, signed: bool, narrow_range: bool):
            super(IntScaling, self).__init__()
            self.signed = signed
            self.narrow_range = narrow_range

        @brevitas.jit.script_method
        def forward(self, bit_width: Tensor) -> Tensor:
            if self.signed:
                return -min_int(self.signed, self.narrow_range, bit_width)
            else:
                return max_int(self.signed, self.narrow_range, bit_width)

    class PowerOfTwoIntScaling(brevitas.jit.ScriptModule):
        __constants__ = ['signed']

        def __init__(self, signed: bool):
            super(PowerOfTwoIntScaling, self).__init__()
            self.signed = signed

        @brevitas.jit.script_method
        def forward(self, bit_width: Tensor) -> Tensor:
            return max_int(self.signed, False, bit_width) + 1