# 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