🚀 Feature request

Make CLIPFeatureExtractor (or any FeatureExtractor in general) accept batch of images as torch.Tensor.

Motivation

Currently batch of images as torch.Tensor are not treated as a batch, it has to be a List[torch.Tensor] but it is not the case when using native Pytorch DataLoader. Can we update this line so that it accepts batches as torch.Tensor. Maybe we ca

In gensim/models/fasttext.py:

    model = FastText(
        vector_size=m.dim,
        vector_size=m.dim,
        window=m.ws,
        window=m.ws,
        epochs=m.epoch,
        epochs=m.epoch,
        negative=m.neg,
        negative=m.neg,
        # FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
        # or model=3 supervi

ENV

Python 3.9
jina 2.5.0

Describe the bug

If i try to dump an image blob to a io.bytesio object an error is thrown

from jina import Document
import io
d =  Document(uri='steam_data/image_store/8c/5b/8c5b265b9c533636.png')
output = io.BytesIO() 

(
    d
    .load_uri_to_image_blob()
    .dump_ima

Motivated by huggingface/transformers#12789 in Transformers, one welcoming change would be replacing assertions with proper exceptions. The only type of assertions we should keep are those used as sanity checks.

Currently, there is a total of 87 files with the assert statements (located under datasets and src/datasets), so when working on this, to manage the PR s

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.

cf nltk/nltk#2856 (comment)