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nvidia--tensorrt/plugin/groupNormalizationPlugin/GroupNormalizationPlugin_PluginConfig.yaml
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YAML

#
# SPDX-FileCopyrightText: Copyright (c) 2022-2025 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,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
---
name: GroupNormalizationPlugin
interface: "IPluginV2DynamicExt"
versions:
"1":
inputs:
- input
- scale
- bias
outputs:
- output
input_dims:
input: 4
scale: 1
bias: 1
input_dim_constraints:
- "input_1 MULTIPLE_OF num_groups_0"
- "scale_0 == input_1"
- "bias_0 == scale_0"
input_dim_range:
input:
min: "=1, =1, =1, =1"
max: "=pinf, =pinf, =pinf, =pinf"
scale:
min: "=1"
max: "=pinf"
bias:
min: "=1"
max: "=pinf"
supported_input_types:
- combination1:
input: float32
scale: float32
bias: float32
output_dims:
output: "input_0, input_1, input_2, input_3"
attributes:
- eps
- num_groups
attribute_types:
eps: float32
num_groups: int32
attribute_length:
eps: 1
num_groups: 1
attribute_dim_range:
eps:
min: "=1"
max: "=1"
num_groups:
min: "=1"
max: "=1"
attribute_options:
eps:
min: "0"
max: "=pinf"
num_groups:
min: "=1"
max: "=pinf"
attributes_required: []
abs_tol: 1e-2
rel_tol: 1e-2
golden_reference_script: "plugin/GroupNormalizationPlugin_PluginReference.py"
configs:
config1:
input_types:
input: float32
scale: float32
bias: float32
attribute_options:
eps:
value: 0.0001
num_groups:
value: 1
config2:
input_types:
input: float32
scale: float32
bias: float32
attribute_options:
eps:
value: 0.001
num_groups:
value: 2
config3:
input_types:
input: float32
scale: float32
bias: float32
attribute_options:
eps:
value: 0.01
num_groups:
value: 3
...