# Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from typing import Any, Literal

import torch
from lightning_utilities.core.apply_func import apply_to_collection
from torch import Tensor

from lightning.fabric.plugins.precision import XLAPrecision
from lightning.fabric.plugins.precision.utils import _convert_fp_tensor


class XLABf16Precision(XLAPrecision):
    """Plugin that enables mixed bf16 with XLA."""

    precision: Literal["bf16-mixed"] = "bf16-mixed"

    def __init__(self) -> None:
        super().__init__()
        os.environ["XLA_USE_BF16"] = "1"

    def convert_input(self, data: Any) -> Any:
        return apply_to_collection(data, function=_convert_fp_tensor, dtype=Tensor, dst_type=torch.bfloat16)

    def convert_output(self, data: Any) -> Any:
        return apply_to_collection(data, function=_convert_fp_tensor, dtype=Tensor, dst_type=torch.get_default_dtype())

    def teardown(self) -> None:
        os.environ.pop("XLA_USE_BF16", None)
