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.typings/mflux/models/flux/model/flux_transformer/joint_transformer_block.pyi

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"""
This type stub file was generated by pyright.
"""

import mlx.core as mx
from mlx import nn
from typing import Any
from mflux.models.flux.model.flux_transformer.joint_attention import JointAttention
from mflux.models.flux.model.flux_transformer.ada_layer_norm_zero import (
    AdaLayerNormZero,
)

class JointTransformerBlock(nn.Module):
    attn: JointAttention
    norm1: AdaLayerNormZero
    norm1_context: AdaLayerNormZero
    norm2: nn.Module
    norm2_context: nn.Module
    ff: nn.Module
    ff_context: nn.Module

    def __init__(self, layer: Any) -> None: ...
    def __call__(
        self,
        hidden_states: mx.array,
        encoder_hidden_states: mx.array,
        text_embeddings: mx.array,
        rotary_embeddings: mx.array,
    ) -> tuple[mx.array, mx.array]: ...
    @staticmethod
    def apply_norm_and_feed_forward(
        hidden_states: mx.array,
        attn_output: mx.array,
        gate_mlp: mx.array,
        gate_msa: mx.array,
        scale_mlp: mx.array,
        shift_mlp: mx.array,
        norm_layer: nn.Module,
        ff_layer: nn.Module,
    ) -> mx.array: ...