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fix filename typos in readme#38

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Commits on Mar 8, 2024

• fix readme typo

  pcintara

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• Merge pull request #1 from pclittle/fix-readme-typo

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  kpinchoco

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• fix README typos evals/ and k400 yaml filename

  

  Kathleena Inchoco

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• fix README typos evals/ and k400 yaml filename

  

  Kathleena Inchoco

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• fix typos

  

  Kathleena Inchoco

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Commits on Mar 11, 2024

• added jepa. in from jepa.evals.scaffold

  

  Kathleena Inchoco

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Commits on Mar 28, 2024

• updated vitl16_k400 yaml and main_distributed files

  

  Kathleena Inchoco

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Commits on Mar 29, 2024

• edited config data paths and main_distributed parameters for child job

  

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Commits on Apr 4, 2024

• add files

  

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• add files modified

  

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Commits on Apr 9, 2024

• test eval directory rather than csv

  pcintara

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• Merge pull request #2 from pclittle/main

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Commits on Apr 11, 2024

• changes from 4-9-24

  

  Kathleena Inchoco

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Commits on Apr 21, 2024

• troubleshoot pegs_eval and linear probe

  

  Kathleena Inchoco

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• update get_item for pendulum csv

  kpinchoco

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• add p_mini csvs

  

  Kathleena Inchoco

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• update p_mini_train.csv

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• update p_mini_test.csv

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• update num_classes to 165

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• remove extra dimension in label_tensor

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• label to label_tensor in squeeze

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• function for plotting model outputs

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Commits on Apr 22, 2024

• Merge pull request #3 from pclittle/kp_utils

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• print encoder output shape

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• update filepath to reference border png

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Commits on Apr 23, 2024

• update filepath to reference border png

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• update filepath to reference border png

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• absolute filepath reference border png

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• output_filename as parameter

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• update filepaths for plot imgs

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• update path from kp_utils

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• update filepath to kp_utils again

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• change to relative filepath

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• rearrange nondefault and default arguments

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• comment out outputs png

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• add third video to p_mini_train.csv

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• print pos_embed shape x

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• mp4 to npy

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• add print statements

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• flattened_x

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• what is outputs

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• convert type label tensor

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• update loss

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• update slicing of outputs

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• return loss not top1_meter.avg

  kpinchoco

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• fix sum_softmax and top1_acc

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• change loop to top1_acc

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• comment out acc

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• comment out print outputs

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• avg loss and remove % from train and test print

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Commits on Apr 24, 2024

• 5 videos

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• 2 one-peg videos

  kpinchoco

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• comment print statements in run_one_epoch

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• 20 epochs

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• take out extra space before labels filepath

  kpinchoco

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• decrease num_workers to 8 from 12

  kpinchoco

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• 128G from 55G slurm mem

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• gpus_per_node = 2 rather than tasks_per_node

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• sum across dim=1 instead of flatten

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• add print statements back

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• comment out pos embed print statement

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• uncomment final shape prints

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• update nn.linear

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• import torch

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Commits on Jun 18, 2024

• add yaml and pegs_eval.py files - stil getting Nans for loss

  

  Kathleena Inchoco

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• add pegs_eval2.py

  

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• Update pegs_eval2.py

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• change criterion back to cross-entropy loss

  kpinchoco

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• check gradient norm after loss.backward()

  kpinchoco

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• add debug print statements

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• change back to pegs_eval.py

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Commits on Jun 27, 2024

• Update vitl16_k400_16x8x3.yaml

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• print min/max of encoder output

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• print min/max after sum and after linear

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• comment out print label

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• apply softmax before linear

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• edit softmax syntax

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Commits on Jul 1, 2024

• add avgpool(10, stride = 2)

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• avgpool1d

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• fix nn.linear

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• AvgPool1d(20, stride=2)

  kpinchoco

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• nn.AvgPool1d(50, stride=10)

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• nn.AvgPool1d(50, stride=10)

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• 508 to 98 in nn.linear

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• 10 epochs

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• adaptivepool 1x330

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• comment out plot_img for now

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• labels[i].unsqueeze(0)

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Commits on Jul 30, 2024

• comment out print statements

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• comment out print statements

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• 500 epochs

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Commits on Jul 31, 2024

• 1 gpu, 8:00:00 timeout, slurm_additional_options='--gres=gpu:a100:1'

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• timeout="8:00:00"

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• gres='gpu:a100:1'

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• slurm_gres='gpu:a100:1'

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• additional_parameters={"gres": "gpu:v100:1"}

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• slurm_additional_parameters={"gres": "gpu:v100:1"}

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• gres='gpu:v100:1' and partition='gpu'

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• slurm_additional_parameters={"--gres": "gpu:v100:1"}

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• remove specify gpu type

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• timeout="48:00:00"

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• partition='a100_2',

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• slurm_additional_parameters={'gres': 'gpu:a100:1'}

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• slurm_additional_parameters={'--gres': 'gpu:a100:1'})

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• slurm_additional_parameters={'gres': 'gpu:a100:1'})

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• slurm_additional_parameters={'gres': 'gpu:a100:1(S:0-1)'})

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• Update main_distributed.py

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• comment out partition

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Commits on Aug 1, 2024

• sigmoid_outputs

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• save in checkpoint-models folder instead of ki2130/video_classification_frozen

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• save to plots folder

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• 10 epochs

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• change tag to pegs-probe

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• comment out gpu a100 specification for now

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• Create a sigmoid activation function object

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• sigmoid_outputs on tensor part not list

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• 3 epochs

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• print sigmoid outputs shape

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• print sigmoid_outputs

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• input_tensor[0,idx]

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• import os

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• input_tensor[idx]

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• sigmoid_outputs.squeeze(0)

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• scale=500 instead of 150

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• scale=1000

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• scale=2000

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• comment out min/max of encoded tensor

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• comment out print sigmoid_outputs

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• 500 epochs

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• pegs-probe-500

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• epochs 300, pegs-probe-300

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• add subfolder plots-300

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• plots-300/

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Commits on Aug 2, 2024

• take out code you don't need from run_one_epoch

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• add code to track train/test loss

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