mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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76 lines
2.3 KiB
Python
Executable File
76 lines
2.3 KiB
Python
Executable File
# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from .activation import Mish
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from .attention import (Attention, AttentionMaskParams, AttentionMaskType,
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AttentionParams, BertAttention, BlockSparseAttnParams,
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CogVLMAttention, DeepseekV2Attention,
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KeyValueCacheParams, MropeParams, PositionEmbeddingType,
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SpecDecodingParams)
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from .cast import Cast
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from .conv import Conv1d, Conv2d, ConvTranspose2d
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from .embedding import Embedding, PromptTuningEmbedding
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from .linear import ColumnLinear, Linear, RowLinear
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from .lora import Lora, LoraParams, LoraRuntimeParams
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from .mlp import MLP, FusedGatedMLP, GatedMLP
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from .moe import MOE, MoeConfig, SharedMoE
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from .normalization import GroupNorm, LayerNorm, RmsNorm
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from .pooling import AvgPool2d
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from .recurrent import FusedRgLru, GroupedLinear, Recurrent, RgLru
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from .ssm import Mamba, Mamba2
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__all__ = [
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'LayerNorm',
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'RmsNorm',
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'ColumnLinear',
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'Linear',
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'RowLinear',
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'AttentionMaskType',
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'PositionEmbeddingType',
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'Attention',
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'BertAttention',
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'CogVLMAttention',
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'DeepseekV2Attention',
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'GroupNorm',
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'Embedding',
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'PromptTuningEmbedding',
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'Conv2d',
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'ConvTranspose2d',
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'Conv1d',
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'AvgPool2d',
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'Mish',
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'MLP',
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'GatedMLP',
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'FusedGatedMLP',
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'Cast',
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'AttentionParams',
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'AttentionMaskParams',
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'SpecDecodingParams',
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'MropeParams',
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'KeyValueCacheParams',
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'BlockSparseAttnParams',
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'Lora',
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'LoraParams',
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'LoraRuntimeParams',
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'MOE',
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'MoeConfig',
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'SharedMoE',
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'Mamba',
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'Mamba2',
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'Recurrent',
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'GroupedLinear',
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'RgLru',
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'FusedRgLru',
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]
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