Shortcuts

Source code for pytorch_lightning.utilities.finite_checks

# Copyright The Lightning AI team.
#
# 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.
"""Helper functions to detect NaN/Inf values."""

import logging

import torch
import torch.nn as nn

log = logging.getLogger(__name__)





[docs]def detect_nan_parameters(model: nn.Module) -> None: """Iterates over model parameters and prints gradients if any parameter is not finite. Raises: ValueError: If ``NaN`` or ``inf`` values are found """ for name, param in model.named_parameters(): if not torch.isfinite(param).all(): print_nan_gradients(model) raise ValueError( f"Detected nan and/or inf values in `{name}`." " Check your forward pass for numerically unstable operations." )

© Copyright Copyright (c) 2018-2023, Lightning AI et al...

Built with Sphinx using a theme provided by Read the Docs.