# 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. """ constant values used by PhysicsNeMo """ import numpy as np import torch # string used to determine derivatives diff_str: str = "__" def diff(y: str, x: str, degree: int = 1) -> str: """Function to apply diff string""" return diff_str.join([y] + degree * [x]) # for changing to float16 or float64 tf_dt = torch.float32 np_dt = np.float32 # tensorboard naming TF_SUMMARY = False # Pytorch Version for which JIT will be default on # Torch version of NGC container 22.08 JIT_PYTORCH_VERSION = "1.13.0a0+d321be6" # No scaling is needed if using NO_OP_SCALE NO_OP_SCALE = (0.0, 1.0) # If using NO_OP_NORM, it is effectively doing no normalization NO_OP_NORM = (-1.0, 1.0)