# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

from dataclasses import dataclass, field

from torch import nn

from torchtitan.experiments.flux.model.autoencoder import AutoEncoderParams

from torchtitan.protocols.train_spec import BaseModelArgs
from torchtitan.tools.logging import logger


@dataclass
class FluxModelArgs(BaseModelArgs):
    in_channels: int = 64
    out_channels: int = 64
    vec_in_dim: int = 768
    context_in_dim: int = 512
    hidden_size: int = 3072
    mlp_ratio: float = 4.0
    num_heads: int = 24
    depth: int = 19
    depth_single_blocks: int = 38
    axes_dim: tuple = (16, 56, 56)
    theta: int = 10_000
    qkv_bias: bool = True
    autoencoder_params: AutoEncoderParams = field(default_factory=AutoEncoderParams)

    def get_nparams_and_flops(self, model: nn.Module, seq_len: int) -> tuple[int, int]:
        # TODO(jianiw): Add the number of flops for the autoencoder
        nparams = sum(p.numel() for p in model.parameters())
        logger.warning("FLUX model haven't implement get_nparams_and_flops() function")
        return nparams, 1
