I am trying to follow along with the book Applied Deep Learning and Computer Vision for Self-Driving Cars. I am running into issues with keras while running some of the example code. When trying to grab a file using the get_file() function, I am getting a type error.
System: Windows 10 | Python 3.9.19 | Tensorflow 2.10.1
Code snippet: dataset_path = keras.utils.get_file("auto-mpg.data", "https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data")
Desired Behavior: Gets file
Resulting error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 2
1 # Datapath to import auto-mpg data
----> 2 dataset_path = keras.utils.get_file("auto-mpg.data", "https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data")
File ~\anaconda3\envs\AVTech\lib\site-packages\keras\utils\data_utils.py:296, in get_file(fname, origin, untar, md5_hash, file_hash, cache_subdir, hash_algorithm, extract, archive_format, cache_dir)
294 try:
295 try:
--> 296 urlretrieve(origin, fpath, DLProgbar())
297 except urllib.error.HTTPError as e:
298 raise Exception(error_msg.format(origin, e.code, e.msg))
File ~\anaconda3\envs\AVTech\lib\site-packages\keras\utils\data_utils.py:86, in urlretrieve(url, filename, reporthook, data)
84 response = urlopen(url, data)
85 with open(filename, "wb") as fd:
---> 86 for chunk in chunk_read(response, reporthook=reporthook):
87 fd.write(chunk)
File ~\anaconda3\envs\AVTech\lib\site-packages\keras\utils\data_utils.py:78, in urlretrieve.<locals>.chunk_read(response, chunk_size, reporthook)
76 count += 1
77 if reporthook is not None:
---> 78 reporthook(count, chunk_size, total_size)
79 if chunk:
80 yield chunk
File ~\anaconda3\envs\AVTech\lib\site-packages\keras\utils\data_utils.py:287, in get_file.<locals>.DLProgbar.__call__(self, block_num, block_size, total_size)
285 self.progbar = Progbar(total_size)
286 current = block_num * block_size
--> 287 if current < total_size:
288 self.progbar.update(current)
289 elif not self.finished:
TypeError: '<' not supported between instances of 'int' and 'NoneType'
The only other post I could see related to this only had the answer "It works for me".
I can reproduce the error on colab with TF 2.10. Seems that this was fixed in the next version where the following lines were implemented:
if total_size is None:
self.progbar.update(current)
I'm not exactly sure why total_size cannot be determined but it seemed to be a recognised bug.
As TF 2.10 was the last version for native Windows, I'd say you have 2 options: