# Copyright 2025 Arm Limited and/or its affiliates.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

# pyre-unsafe
from typing import Any, List

import torch.fx

from executorch.backends.arm.operators.node_visitor import (
    NodeVisitor,
    register_node_visitor,
)
from executorch.backends.arm.operators.operator_validation_utils import (
    validate_num_inputs,
    validate_same_dtype,
)

from executorch.backends.arm.tosa_mapping import TosaArg


def unary_operator_factory_0_80(unary_target: str, tosa_op):
    "Creates and registers NodeVisitors for operations that have one input and map directly into a TOSA op."

    # Some TOSA unary operators only support float
    fp_only_ops = ["aten.floor.default"]

    class UnaryOperator_0_80(NodeVisitor):
        target = unary_target
        tosa_specs = NodeVisitor.tosa_specs_0_80

        def __init__(self, *args):
            super().__init__(*args)

        def define_node(
            self,
            node: torch.fx.Node,
            tosa_graph: Any,
            inputs: List[TosaArg],
            output: TosaArg,
        ) -> None:
            import tosa_tools.v0_80.serializer.tosa_serializer as ts  # type: ignore  # noqa: F401

            validate_num_inputs(self.target, inputs, 1)
            validate_same_dtype(self.target, [*inputs, output])

            if self.target in fp_only_ops and not (inputs[0].dtype == ts.DType.FP32):
                raise ValueError(
                    "All inputs need to be FP32." f"Got {inputs[0].dtype=}"
                )

            tosa_graph.addOperator(tosa_op, [inputs[0].name], [output.name])

    register_node_visitor(UnaryOperator_0_80)


def unary_operator_factory(unary_target: str, tosa_op):
    "Creates and registers NodeVisitors for operations that have one input and map directly into a TOSA op."

    # Some TOSA unary operators only support float
    fp_only_ops = ["aten.floor.default"]

    class UnaryOperator(NodeVisitor):
        target = unary_target
        tosa_specs = NodeVisitor.tosa_specs_1_00

        def __init__(self, *args):
            super().__init__(*args)

        def define_node(
            self,
            node: torch.fx.Node,
            tosa_graph: Any,
            inputs: List[TosaArg],
            output: TosaArg,
        ) -> None:
            import serializer.tosa_serializer as ts  # type: ignore  # noqa: F401

            validate_num_inputs(self.target, inputs, 1)
            validate_same_dtype(self.target, [*inputs, output])

            if self.target in fp_only_ops and not (inputs[0].dtype == ts.DType.FP32):
                raise ValueError(
                    "All inputs need to be FP32." f"Got {inputs[0].dtype=}"
                )

            tosa_graph.addOperator(tosa_op, [inputs[0].name], [output.name])

    register_node_visitor(UnaryOperator)


import tosa_tools.v0_80.serializer.tosa_serializer as ts  # type: ignore

unary_operator_factory_0_80("aten.ceil.default", ts.TosaOp.Op().CEIL)
unary_operator_factory_0_80("aten.floor.default", ts.TosaOp.Op().FLOOR)
unary_operator_factory_0_80("aten.logical_not.default", ts.TosaOp.Op().LOGICAL_NOT)

import serializer.tosa_serializer as ts  # type: ignore

unary_operator_factory("aten.ceil.default", ts.TosaOp.Op().CEIL)
unary_operator_factory("aten.floor.default", ts.TosaOp.Op().FLOOR)
unary_operator_factory("aten.logical_not.default", ts.TosaOp.Op().LOGICAL_NOT)