minigpt4/models/policies/mixed_precision.py

# Copyright (c) Meta Platforms, Inc. and affiliates.
# This software may be used and distributed according to the terms of the Llama 2 Community License Agreement.

import torch

from torch.distributed.fsdp import (
    # FullyShardedDataParallel as FSDP,
    # CPUOffload,
    MixedPrecision,
    # BackwardPrefetch,
    # ShardingStrategy,
)

# requires grad scaler in main loop
fpSixteen = MixedPrecision(
    param_dtype=torch.float16,
    # Gradient communication precision.
    reduce_dtype=torch.float16,
    # Buffer precision.
    buffer_dtype=torch.float16,
)

bfSixteen = MixedPrecision(
    param_dtype=torch.bfloat16,
    # Gradient communication precision.
    reduce_dtype=torch.bfloat16,
    # Buffer precision.
    buffer_dtype=torch.bfloat16,
    cast_forward_inputs=True,
)

bfSixteen_mixed = MixedPrecision(
    param_dtype=torch.float32,
    reduce_dtype=torch.bfloat16,
    buffer_dtype=torch.bfloat16,
)

fp32_policy = MixedPrecision(
    param_dtype=torch.float32,
    reduce_dtype=torch.float32,
    buffer_dtype=torch.float32,
)