chore: import upstream snapshot with attribution
Docker Image CI / build-ubuntu2004 (push) Has been cancelled
Docker Image CI / build-ubuntu2004 (push) Has been cancelled
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wehub-resource-sync
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#
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# SPDX-FileCopyrightText: Copyright (c) 2022-2025 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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#
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---
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name: CustomEmbLayerNormPluginDynamic
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interface: "IPluginV3"
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versions:
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"6":
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inputs:
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- token_id
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- segment_id
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- input_mask
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outputs:
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- embedded_input
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- maskIdx
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input_dims:
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token_id: 2
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segment_id: 2
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input_mask: 2
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input_dim_constraints:
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- "token_id_0 == bert_embeddings_position_embeddings_0"
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- "segment_id_0 == bert_embeddings_position_embeddings_0"
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- "segment_id_1 == token_id_1"
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- "input_mask_0 == bert_embeddings_position_embeddings_0"
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- "input_mask_1 == token_id_1"
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input_dim_range:
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token_id:
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min: "=1, =1"
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max: "=pinf, =pinf"
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segment_id:
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min: "=1, =1"
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max: "=pinf, =pinf"
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input_mask:
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min: "=1, =1"
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max: "=pinf, =pinf"
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supported_input_types:
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combination1:
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token_id: int32
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segment_id: int32
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input_mask: int32
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output_dims:
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embedded_input: "token_id_0, token_id_1, bert_embeddings_layernorm_beta_0, 1, 1"
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maskIdx: "token_id_1, 1"
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attributes:
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- output_fp16
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- full_mask
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- mha_type_id
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- bert_embeddings_layernorm_beta
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- bert_embeddings_layernorm_gamma
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- bert_embeddings_word_embeddings
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- bert_embeddings_token_type_embeddings
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- bert_embeddings_position_embeddings
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attribute_types:
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output_fp16: int32
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full_mask: int32
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mha_type_id: int32
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bert_embeddings_layernorm_beta: float32
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bert_embeddings_layernorm_gamma: float32
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bert_embeddings_word_embeddings: float32
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bert_embeddings_token_type_embeddings: float32
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bert_embeddings_position_embeddings: float32
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attribute_dims:
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output_fp16: 1
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full_mask: 1
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mha_type_id: 1
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bert_embeddings_layernorm_beta: 1
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bert_embeddings_layernorm_gamma: 1
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bert_embeddings_word_embeddings: 2
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bert_embeddings_token_type_embeddings: 2
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bert_embeddings_position_embeddings: 2
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attribute_dim_range:
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output_fp16:
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- min: "=1"
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- max: "=1"
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full_mask:
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- min: "=1"
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- max: "=1"
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mha_type_id:
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- min: "=1"
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- max: "=1"
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bert_embeddings_layernorm_beta:
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- min: "=1"
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- max: "=pinf"
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bert_embeddings_layernorm_gamma:
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- min: "=1"
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- max: "=pinf"
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bert_embeddings_word_embedding:
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- min: "=1, =1"
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- max: "=pinf, =pinf"
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bert_embeddings_token_type_embeddings:
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- min: "=1, =1"
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- max: "=pinf, =pinf"
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bert_embeddings_position_embeddings:
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- min: "=1, =1"
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- max: "=pinf, =pinf"
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attribute_options:
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output_fp16:
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- 0
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- 1
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full_mask:
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- 0
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- 1
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mha_type_id:
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- 0
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- 1
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- 2
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bert_embeddings_layernorm_beta:
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min: "=ninf"
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max: "=pinf"
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bert_embeddings_layernorm_gamma:
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min: "=ninf"
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max: "=pinf"
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bert_embeddings_word_embeddings:
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min: "=ninf"
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max: "=pinf"
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bert_embeddings_token_type_embeddings:
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min: "=ninf"
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max: "=pinf"
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bert_embeddings_position_embeddings:
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min: "=ninf"
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max: "=pinf"
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attributes_required:
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- bert_embeddings_layernorm_beta
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- bert_embeddings_layernorm_gamma
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- bert_embeddings_word_embeddings
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- bert_embeddings_token_type_embeddings
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- bert_embeddings_position_embeddings
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golden_reference_script: "plugin/CustomEmbLayerNormPluginDynamic_PluginReference.py"
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abs_tol: 1e-5
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rel_tol: 1e-5
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configs:
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config1:
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input_types:
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token_id: int32
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segment_id: int32
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input_mask: int32
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attribute_options:
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output_fp16:
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value: 0
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shape: "1"
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full_mask:
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value: 0
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shape: "1"
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mha_type_id:
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value: 0
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shape: "1"
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bert_embeddings_layernorm_beta:
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shape: "128"
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bert_embeddings_layernorm_gamma:
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shape: "128"
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bert_embeddings_word_embeddings:
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shape: "100, 128"
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bert_embeddings_token_type_embeddings:
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shape: "2, 128"
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bert_embeddings_position_embeddings:
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shape: "20, 128"
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...
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