Assorted Issues
See original GitHub issue** Environment **
- OS: Ubuntu 22.04 LTS
- GPU:
*-display
description: VGA compatible controller
product: GP102 [GeForce GTX 1080 Ti]
vendor: NVIDIA Corporation
physical id: 0
bus info: pci@0000:01:00.0
version: a1
width: 64 bits
clock: 33MHz
capabilities: pm msi pciexpress vga_controller bus_master cap_list rom
configuration: driver=nvidia latency=0
resources: irq:58 memory:fa000000-faffffff memory:c0000000-cfffffff memory:d0000000-d1ffffff ioport:e000(size=128) memory:c0000-dffff
*-graphics
product: EFI VGA
physical id: 2
logical name: /dev/fb0
capabilities: fb
configuration: depth=32 resolution=1024,768
- Cuda: 11.7
- Composer: 0.8.2
loss
should specify micro_batch instead of batch- Cannot log multiple losses, allow me to return dictionary of losses
- Cannot log things at batch level (not micro-batch level) inside of
loss
method - (Bug)
grad_accum
fails with CUDA OOM even thoughbatch_size=1
w/ nograd_accum
works - (Bug) Nothing is printed indicated that composer is restarting the forward method when
grad_accum="auto"
is set toTrue
Issue Analytics
- State:
- Created a year ago
- Comments:13 (8 by maintainers)
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@mvpatel2000 for the Auto grad accum issue, it may be that we need to do a cuda cache clear after the grad accum adjustment, otherwise the repeated restarts can cause memory fragmentation on the GPU. This can be triggered by increasing the image resolution such as a known small batch size fits into memory, then greatly increasing the batch size to force multiple grad accum adjustments.
Hey @vedantroy , I’m having a bit of trouble reproducing the LR issue. Could you try running it again and printing the logs to console via
ProgressBarLogger(progress_bar=False, log_to_console=True, log_level='BATCH')
and report back what the raw float values forlr
are?I’m trying to figure out if there is something missing in my testing, or if it’s just WandB’s logging of float values that is truncated… Like in the early stage of a cosine decay, the true value might be 0.9999912… but then maybe it’s just getting displayed as 1.0.