Comments (2)
Notes on two of the models:
nasnet_large_pytorch -600G RAM Used
slurmstepd: error: Detected 1 oom-kill event(s) in StepId=36556096.batch. Some of your processes may have been killed by the cgroup out-of-memory handler.
inception_v4_pytorch
File "<array_function internals>", line 6, in concatenate
numpy.core._exceptions.MemoryError: Unable to allocate 340. GiB for an array with shape (1000, 91216808) and data type float32
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Have files for:
- resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234
- antialias-resnet152
- resnet50-VITO-8deg-cc
- resnet-50_v2
- antialiased-rnext101_32x8d
- AdvProp_efficientnet-b6
Will be validating these and hopefully queueing them up on OM today for a first pass through on MajajHong2015.IT-pls.
from vision.
Related Issues (20)
- Allow uploading pre-computed feature .nc files to s3 buckets using similar functionality as for DataAssemblies/StimulusSets HOT 1
- StimulusSet data types may clash with DataAssembly data types after s3 upload HOT 1
- Add a message to dataset/stimulus upload to say whether the uploaded files are private or public access
- rename `number_of_trials` -> `number_of_repetitions`
- "Create Benchmark" tutorial incorrect import
- Run top 25 models on Sanghavi HOT 2
- Remove trailing >> from benchmark Init files
- Merge Matching Models HOT 1
- Improve efficiency of test_look_at_neural_V1
- Merge and Deploy Baker 2022 Benchmark
- Score Models on Baker2022 Benchmark
- This is a sample issue
- Disallow nonconverted models to be scored HOT 1
- MicrosaccadeHelper not re-initializing self._number_of_trials
- Installation error HOT 1
- Requirements missing for temporal_model_videomae HOT 2
- Unable to access some model weights
- Marques score assertion errors
- Kar2019 testing score assertion errors
- Builds fail due to package mismatch HOT 2
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