content: # Apache Software License 2.0
  #
  # Copyright (c) ZenML GmbH 2025. All rights reserved.
  #
  # 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 typing import Any
  
  from zenml.logger import get_logger
  
  logger = get_logger(__name__)
  
  
  def print_trainable_parameters(model: Any):
      """Prints the number of trainable parameters in the model."""
      trainable_params = 0
      all_param = 0
      for _, param in model.named_parameters():
          all_param += param.numel()
          if param.requires_grad:
              trainable_params += param.numel()
      logger.info(
          f"trainable params: {trainable_params} || all params: {all_param} || trainable%: {100 * trainable_params / all_param}"
      )
  