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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 | # 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)
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