lib.linux-x86_64-cpython-310/tensorrt_llm/layers/__init__.py

# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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from .activation import Mish
from .attention import (Attention, AttentionMaskType, AttentionParams,
                        BertAttention, BlockSparseAttnParams, CogVLMAttention,
                        KeyValueCacheParams, PositionEmbeddingType,
                        SpecDecodingParams)
from .cast import Cast
from .conv import Conv1d, Conv2d, ConvTranspose2d
from .embedding import Embedding, PromptTuningEmbedding
from .linear import (ColumnLinear, Linear, ParallelLMHead, QKVColumnLinear,
                     RowLinear)
from .lora import Lora, LoraParams, LoraRuntimeParams
from .mlp import MLP, FusedGatedMLP, GatedMLP
from .moe import MOE, MoeConfig
from .normalization import GroupNorm, LayerNorm, RmsNorm
from .pooling import AvgPool2d
from .recurrent import FusedRgLru, GroupedLinear, Recurrent, RgLru
from .ssm import Mamba, Mamba2

__all__ = [
    'LayerNorm',
    'RmsNorm',
    'ColumnLinear',
    'Linear',
    'RowLinear',
    'QKVColumnLinear',
    'ParallelLMHead',
    'AttentionMaskType',
    'PositionEmbeddingType',
    'Attention',
    'BertAttention',
    'CogVLMAttention',
    'GroupNorm',
    'Embedding',
    'PromptTuningEmbedding',
    'Conv2d',
    'ConvTranspose2d',
    'Conv1d',
    'AvgPool2d',
    'Mish',
    'MLP',
    'GatedMLP',
    'FusedGatedMLP',
    'Cast',
    'AttentionParams',
    'SpecDecodingParams',
    'KeyValueCacheParams',
    'BlockSparseAttnParams',
    'Lora',
    'LoraParams',
    'LoraRuntimeParams',
    'MOE',
    'MoeConfig',
    'Mamba',
    'Mamba2',
    'Recurrent',
    'GroupedLinear',
    'RgLru',
    'FusedRgLru',
]