# Copyright 2024 Microsoft Research & University of Wisconsin-Madison and the HuggingFace Inc. team. All rights reserved.
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#
#     http://www.apache.org/licenses/LICENSE-2.0
#
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"""Qwen2Audio model configuration"""

from huggingface_hub.dataclasses import strict

from ...configuration_utils import PreTrainedConfig, SubConfigSpec
from ...utils import auto_docstring
from ..auto import AutoConfig


@auto_docstring(checkpoint="Qwen/Qwen2-Audio-7B")
@strict
class Qwen2AudioEncoderConfig(PreTrainedConfig):
    r"""
    max_source_positions (`int`, *optional*, defaults to 1500):
        The maximum sequence length of log-mel filter-bank features that this model might ever be used with.

    Example:

    ```python
    >>> from transformers import Qwen2AudioEncoderConfig, Qwen2AudioEncoder

    >>> # Initializing a Qwen2AudioEncoderConfig
    >>> configuration = Qwen2AudioEncoderConfig()

    >>> # Initializing a Qwen2AudioEncoder (with random weights)
    >>> model = Qwen2AudioEncoder(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```"""

    model_type = "qwen2_audio_encoder"
    attribute_map = {
        "num_hidden_layers": "encoder_layers",
        "hidden_size": "d_model",
        "num_attention_heads": "encoder_attention_heads",
        "intermediate_size": "encoder_ffn_dim",
    }

    num_mel_bins: int = 128
    encoder_layers: int = 32
    encoder_attention_heads: int = 20
    encoder_ffn_dim: int = 5120
    encoder_layerdrop: float | int = 0.0
    d_model: int = 1280
    dropout: float | int = 0.0
    attention_dropout: float | int = 0.0
    activation_function: str = "gelu"
    activation_dropout: float | int = 0.0
    scale_embedding: bool = False
    initializer_range: float = 0.02
    max_source_positions: int = 1500


@auto_docstring(checkpoint="Qwen/Qwen2-Audio-7B")
@strict
class Qwen2AudioConfig(PreTrainedConfig):
    r"""
    Example:

    ```python
    >>> from transformers import Qwen2AudioForConditionalGeneration, Qwen2AudioConfig, Qwen2AudioEncoderConfig, Qwen2Config

    >>> # Initializing a Qwen2AudioEncoder config
    >>> audio_config = Qwen2AudioEncoderConfig()

    >>> # Initializing a Qwen2 config
    >>> text_config = Qwen2Config()

    >>> # Initializing a Qwen2Audio configuration
    >>> configuration = Qwen2AudioConfig(audio_config, text_config)

    >>> # Initializing a model from the qwen2-audio style configuration
    >>> model = Qwen2AudioForConditionalGeneration(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```"""

    model_type = "qwen2_audio"
    attribute_map = {"audio_token_id": "audio_token_index"}
    sub_configs_defaults = {
        "text_config": SubConfigSpec(config_class=AutoConfig, model_type="qwen2"),
        "audio_config": SubConfigSpec(
            config_class=AutoConfig,
            model_type="qwen2_audio_encoder",
            init_kwargs={
                "d_model": 1280,
                "encoder_attention_heads": 20,
                "encoder_ffn_dim": 5120,
                "encoder_layerdrop": 0.0,
                "encoder_layers": 32,
                "num_mel_bins": 128,
                "max_source_positions": 1500,
                "scale_embedding": False,
                "activation_function": "gelu",
            },
        ),
    }

    audio_config: dict | PreTrainedConfig | None = None
    text_config: dict | PreTrainedConfig | None = None
    audio_token_index: int = 151646


__all__ = ["Qwen2AudioConfig", "Qwen2AudioEncoderConfig"]