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c3d0544 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | # SPDX-FileCopyrightText: Copyright (c) 2023 - 2025 NVIDIA CORPORATION & AFFILIATES.
# SPDX-FileCopyrightText: 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.
from dataclasses import dataclass
@dataclass
class ModelMetaData:
"""Data class for storing essential meta data needed for all PhysicsNeMo Models"""
# Model info
name: str = "PhysicsNeMoModule"
# Optimization
jit: bool = False
cuda_graphs: bool = False
amp: bool = False
amp_cpu: bool = None
amp_gpu: bool = None
torch_fx: bool = False
# Data type
bf16: bool = False
# Inference
onnx: bool = False
onnx_gpu: bool = None
onnx_cpu: bool = None
onnx_runtime: bool = False
trt: bool = False
# Physics informed
var_dim: int = -1
func_torch: bool = False
auto_grad: bool = False
def __post_init__(self):
self.amp_cpu = self.amp if self.amp_cpu is None else self.amp_cpu
self.amp_gpu = self.amp if self.amp_gpu is None else self.amp_gpu
self.onnx_cpu = self.onnx if self.onnx_cpu is None else self.onnx_cpu
self.onnx_gpu = self.onnx if self.onnx_gpu is None else self.onnx_gpu
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