🐛 Describe the bug The batched GEMM has a poor performance for bigger batch size(12*7*120*64*129) with smaller matrix size(3x3, 3x1): import torch import time points = torch.randn(12, 7, 120, 64, 120, 3).cuda() bda = torch.randn(12, 3, 3...
The Batch processor can send a bigger batch than it is configured. For examplesend_batch_sizeis sed to500but the returned batches are~800. Steps to reproduce Configuresend_batch_size= N and send either bigger batches to the receiver or smaller but in very high frequency. What did you expec...
(example: imaging if we set the batch size to just one) I agree that that would mean more noise but shouldn’t it also mean slower convergence. And on the other hand, wouldn’t making the batches bigger mean more examples are lumped together in a parallel computing setting, and the...
- Can make images both smaller and bigger; - beep after each photo is resized; - Will copy (not replace) your photos to ensure the safety of your original; - Destination folder opens automatically after conversion; - Supported formats: TGA, tiff, BMP, png, PSD, jpg, jpeg, jp2, gif(fi...
–Capable of altering your images’ aspect ratio to 4:3, 16:9, or your custom setting; –Can make images both smaller and bigger; –beep after each photo is resized; –Will copy (not replace) your photos to ensure the safety of your original; ...
The Gradient descent has a parameter calledlearning rate.As you can see above (left), initially the steps are bigger that means the learning rate is higher and as the point goes down the learning rate becomes more smaller by the shorter size of steps. Also,theCostFunction is decreasing or ...
Finally, selectResize to Fit, and type in your preferred file size! Note that the dimensions you dial in aremaximums. So if you type in 300 for the width and 300 for the height, the files will be resized so that the longest side of every image is 300 pixels. ...
That the new layer will be smaller then or larger then or the same size as the destination documents canvas size. I wrote most of the time because Place by default make an exception to this when the new layer would extend outside the canvas Place will scale the so...
For these cases you can either send requests in smaller batches that result in smaller responses or use no batching at all. Note this will apply to all libraries on this repo, not just Gmail, as the batching mechanism is shared. I'll be closing this issue now, as there's not much ...
If we have larger batches, the compressed table might not be processable using TAM (or we could not build an index). If we make the batch size configurable, the migration path would be to recompress all chunks with the smaller batch size. Probalby we're going to apply TAM per-chunk, ...