tensorflow / tensorflow/models

Finetuning Error with PNASNet-5_Large_331

Open
#8,643 0 comments 0 reactions 2 assignees View on GitHub

@marksandler2 is already working on this.

Since Jun 8, 2020.

models:research type:bug
Dominant language
Python
Stars
77.7k
Forks
44.8k
PR merge metrics
No merged PRs in 30d

Description

Prerequisites

Please answer the following questions for yourself before submitting an issue.

  • [v] I am using the latest TensorFlow Model Garden release and TensorFlow 2.
  • [v] I am reporting the issue to the correct repository. (Model Garden official or research directory)
  • [v] I checked to make sure that this issue has not already been filed.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/tree/master/research/slim

2. Describe the bug

Tried to finetune the pre-trained model, PNASNet-5_Large_331 with flowers dataset.
Got the following error,
"Key aux_7/aux_logits/aux_bn0/beta not found in checkpoint"

3. Steps to reproduce

As explained in https://github.com/tensorflow/models/tree/master/research/slim#fine-tuning-a-model-from-an-existing-checkpoint,

python3 train_image_classifier.py
--train_dir=${TRAIN_DIR}
--dataset_dir=${DATASET_DIR}
--dataset_name=flowers
--dataset_split_name=train
--model_name=${MODEL_NAME}
--checkpoint_path=${CHECKPOINT_PATH}
--checkpoint_exclude_scopes=aux_7/aux_logits/FC,final_layer/FC
--trainable_scopes=aux_7/aux_logits/FC,final_layer/FC

4. Expected behavior

May get the following error,
"Key aux_7/aux_logits/aux_bn0/beta not found in checkpoint"

5. Additional context

None

6. System information

  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 18.04
  • Mobile device name if the issue happens on a mobile device:
  • TensorFlow installed from (source or binary): source
  • TensorFlow version (use command below): 1.15
  • Python version: Python 3.6
  • Bazel version (if compiling from source): 0.24.1
  • GCC/Compiler version (if compiling from source):
  • CUDA/cuDNN version: 7.5.0, using rocm
  • GPU model and memory: Vega 10 XTX [Radeon Vega Frontier Edition], 16GB

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.