Hi,
I'm trying to get mxnet to work on Google Colab. I'm using the `bert-embedding` library which uses mxnet, just in case that's of help. I have ran `!pip instet-cu102all mxn` explicitly too, even though bert-embeddings installs it, on Colab and had it imported using `import mxnet as [name]`. But, to no avail, I keep getting this error message: ``` MXNetError: [21:52:28] src/ndarray/ndarray.cc:1279: GPU is not enabled ``` Here is where I 'call' the gpu: ``` from bert_embedding import BertEmbedding import mxnet as mx ctx = mx.gpu() bert_emb = BertEmbedding(dataset_name='wiki_multilingual_cased', ctx=ctx) # This is the line that throws the error ``` Like mentioned above, the line that throws the error is when I create a BertEmbedding object, but it's ultimately a `MXNetError`. I've tried installing CUDA 10.0 or downgrading the MXNet version to `mxnet-cu101` or `...-cu100` but I get the same error over and over again. Some details: ``` Platform: Google Colab w/ GPU MXNet Version: Bert installs v1.4.0, I then explicitly tried mxnet-cu100 to -cu102 CUDA version: Tried v10.1 and v10.0 ``` All help is appreciated --- [Visit Topic](https://discuss.mxnet.io/t/gpu-is-not-enabled-error-google-colab/6527/1) or reply to this email to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.mxnet.io/email/unsubscribe/1d35be4acef5ab4c491a228c2faa0d9402601c391574fae5696463131345d555).
