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#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
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from contextlib import contextmanager

import torch


@contextmanager
def fp32_precision():
    """
    Workaround for precision related issues when training with bf16-true PyTorch Lightning precision setting.
    In bf16-true, PTL changes PyTorch's default dtype, which may break implicit assumptions for some models.
    This context manager restores default float32 precision and runs the computation in float32 autocast context.
    """
    default_dtype = torch.get_default_dtype()
    torch.set_default_dtype(torch.float32)
    try:
        with torch.amp.autocast(device_type="cuda" if torch.cuda.is_available() else "cpu", dtype=torch.float32):
            yield
    finally:
        torch.set_default_dtype(default_dtype)