hdf5 | Official HDF5® Library Repository

So I have this dataloader that loads data from hdf5 but exits unexpectedly when I am using num_workers>0 (it works ok when 0). More strangely, it works okay with more workers on google colab, but not on my computer. On my computer I have the following error:

Traceback (most recent call last): File "C:\Users\Flavio Maia\AppData\Roaming\Python\Python37\site-packages\torch\utils\data\dataloader.py", line 986, in _try_get_data data = self._data_queue.get(timeout=timeout) File "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python37_64\lib\multiprocessing\queues.py", line 105, in get raise Empty _queue.Empty

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "", line 2, in File "C:\Users\Flavio Maia\AppData\Roaming\Python\Python37\site-packages\torch\utils\data\dataloader.py", line 517, in next data = self._next_data() File "C:\Users\Flavio Maia\AppData\Roaming\Python\Python37\site-packages\torch\utils\data\dataloader.py", line 1182, in _next_data idx, data = self._get_data() File "C:\Users\Flavio Maia\AppData\Roaming\Python\Python37\site-packages\torch\utils\data\dataloader.py", line 1148, in _get_data success, data = self._try_get_data() File "C:\Users\Flavio Maia\AppData\Roaming\Python\Python37\site-packages\torch\utils\data\dataloader.py", line 999, in _try_get_data raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) from e RuntimeError: DataLoader worker (pid(s) 12332) exited unexpectedly

Also, my getitem function is:

I have a Tensorflow model already trained in my notebook, and I want to plot accuracy and loss after that.

Here is my code:

So I'm trying to access entries in subdirectories in a HDF5 file. Below is my code

I want to create a scatter plot with the X-Axis as the longitude coordinates in the healpix file https://wwwmpa.mpa-garching.mpg.de/~ensslin/research/data/faraday2020.html (Healpix)

and the Y-Axis as the mean values in hdf5 file https://wwwmpa.mpa-garching.mpg.de/~ensslin/research/data/faraday2020.html (Faraday sky 2020)

Code until now:

I'm working on converting a large database for storage in an HDF5 file. To get familiar with H5Py (version 3.2.1) and HDF5, I read the docs for H5Py and wrote a small script that stores random data in an HDF5 file, shown below.

So I used Bert model trained it and saved it as hdf5 file, but when I try to predict , it shows this error :

IndexError: list index out of range

here is the code

I would like to get the byte contents of a pandas dataframe exported as hdf5, ideally without actually saving the file (i.e., in-memory).

On python>=3.6, < 3.9 (and pandas==1.2.4, pytables==3.6.1) the following used to work:

I have a bunch of images (of cats) and want to plot one of them. The values image are in the format UInt8 and contain 3 bands. When I try to plot using plots I get the following error, ERROR: StackOverflowError.

I made a simple HDF5 reader class to avoid loading entire dataset in memory. I used sequence class to do so, but I'm not sure if on_epoch_end() function will trigger correctly.

I put a single print inside it, but it never appear! So I think there is something wrong in my code: