CUDA error: CUBLAS_STATUS_ALLOC_FAILED when calling `cublasCreate(handle)`
I got the following error when I ran my pytorch deep learning model in colab

/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py in linear(input, weight, bias)
   1370         ret = torch.addmm(bias, input, weight.t())
   1371     else:
-&gt; 1372         output = input.matmul(weight.t())
   1373         if bias is not None:
   1374             output += bias

RuntimeError: CUDA error: CUBLAS_STATUS_ALLOC_FAILED when calling `cublasCreate(handle)`


I even reduced batch size from 128 to 64 i.e., reduced to half,  but still, I got this error. Earlier, I ran the same code with a batch size of 128 but didn't get any error like this.

No, batch size does not matter in this case
The most likely reason is that there is an inconsistency between number of labels and number of output units.

Try printing the size of the final output in the forward pass and check the size of the output


print(model.fc1(x).size())
Here fc1 would be replaced by the name of your model's last linear layer before returning


Make sure that label.size()  is equal to prediction.size() before calculating the loss

And even after fixing that problem, you'll have to restart the GPU runtime (I needed to do this in my case when using a colab GPU)
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