MiniTorch Module 3

Docs: https://minitorch.github.io/
Overview: https://minitorch.github.io/module3.html

You will need to modify tensor_functions.py slightly in this assignment.

Tests:

python run_tests.py

Note:

Several of the tests for this assignment will only run if you are on a GPU machine and will not run on github's test infrastructure. Please follow the instructions to setup up a colab machine to run these tests.

This assignment requires the following files from the previous assignments. You can get these by running

python sync_previous_module.py previous-module-dir current-module-dir

The files that will be synced are:

    minitorch/tensor_data.py minitorch/tensor_functions.py minitorch/tensor_ops.py minitorch/operators.py minitorch/module.py minitorch/autodiff.py minitorch/module.py project/run_manual.py project/run_scalar.py project/run_tensor.py

Parallel Check Script Output

Parallel Script Logs

CPU vs. GPU Graph & Logs

Training Output Logs

CPU = Apple M1 Pro 2021 (Sonoma 14.1)
GPU = Google Colab T4 GPU

CPU Logs

Dataset 1: Simple

Small Model (100 Hidden Layers)

CPU Simple Small Model Full Logs

Epoch: 490  time/epoch: 0.039  correct: 50 loss: 9.35136396147478e-05
Epoch: 491  time/epoch: 0.039  correct: 50 loss: 0.0041865385105562
Epoch: 492  time/epoch: 0.038  correct: 50 loss: 0.006429745821012849
Epoch: 493  time/epoch: 0.039  correct: 50 loss: 0.17032792178675937
Epoch: 494  time/epoch: 0.038  correct: 50 loss: 0.0326354427327606
Epoch: 495  time/epoch: 0.039  correct: 50 loss: 0.39587471246486666
Epoch: 496  time/epoch: 0.04  correct: 50 loss: 0.13469897805408265
Epoch: 497  time/epoch: 0.04  correct: 50 loss: 0.6213224608633433
Epoch: 498  time/epoch: 0.042  correct: 50 loss: 0.12548621566815693
Epoch: 499  time/epoch: 0.042  correct: 50 loss: 0.018896435750436577

Large Model (200 Hidden Layers)

CPU Simple Large Model Full Logs

Epoch: 490  time/epoch: 0.108  correct: 50 loss: 0.09784735623814257
Epoch: 491  time/epoch: 0.111  correct: 50 loss: 0.0011947367809209458
Epoch: 492  time/epoch: 0.111  correct: 50 loss: 0.031182582738508095
Epoch: 493  time/epoch: 0.11  correct: 50 loss: 0.10180049908004778
Epoch: 494  time/epoch: 0.111  correct: 50 loss: 0.033434525517599775
Epoch: 495  time/epoch: 0.11  correct: 50 loss: 0.022194202381972665
Epoch: 496  time/epoch: 0.108  correct: 50 loss: 0.058828618403537244
Epoch: 497  time/epoch: 0.106  correct: 50 loss: 0.005990732330378058
Epoch: 498  time/epoch: 0.111  correct: 50 loss: 0.001638181379733589
Epoch: 499  time/epoch: 0.137  correct: 50 loss: 0.24869153320376697

Dataset 2: Split

Small Model (100 Hidden Layers)

CPU Split Small Model Full Logs

Epoch: 490  time/epoch: 0.055  correct: 49 loss: 1.48960119515632
Epoch: 491  time/epoch: 0.05  correct: 49 loss: 0.5767885028951708
Epoch: 492  time/epoch: 0.052  correct: 49 loss: 0.2420677393429998
Epoch: 493  time/epoch: 0.041  correct: 49 loss: 0.16160638812859843
Epoch: 494  time/epoch: 0.041  correct: 49 loss: 0.34227825097964176
Epoch: 495  time/epoch: 0.047  correct: 49 loss: 1.1109076001726468
Epoch: 496  time/epoch: 0.04  correct: 50 loss: 0.1795246980579488
Epoch: 497  time/epoch: 0.044  correct: 49 loss: 0.7038291749059226
Epoch: 498  time/epoch: 0.039  correct: 49 loss: 0.1262845442416151
Epoch: 499  time/epoch: 0.041  correct: 50 loss: 0.2388534171875122

Large Model (200 Hidden Layers)

CPU Split Large Model Full Logs

Epoch: 490  time/epoch: 0.104  correct: 50 loss: 0.18963312177357697
Epoch: 491  time/epoch: 0.104  correct: 50 loss: 0.23899689371147
Epoch: 492  time/epoch: 0.105  correct: 50 loss: 0.025903794158032085
Epoch: 493  time/epoch: 0.108  correct: 50 loss: 0.14221251265388776
Epoch: 494  time/epoch: 0.107  correct: 50 loss: 0.08181385391653838
Epoch: 495  time/epoch: 0.107  correct: 50 loss: 0.22122123099039764
Epoch: 496  time/epoch: 0.106  correct: 50 loss: 0.20162109659809796
Epoch: 497  time/epoch: 0.107  correct: 50 loss: 0.3243252551023929
Epoch: 498  time/epoch: 0.103  correct: 50 loss: 0.03586016343753507
Epoch: 499  time/epoch: 0.105  correct: 50 loss: 0.0632512times_cpu5095207

Dataset 3: XOR

Small Model (100 Hidden Layers)

CPU XOR Small Model Full Logs

Epoch: 490  time/epoch: 0.048  correct: 50 loss: 0.353932476131671
Epoch: 491  time/epoch: 0.043  correct: 50 loss: 0.4346249030450587
Epoch: 492  time/epoch: 0.044  correct: 50 loss: 0.20982407570994352
Epoch: 493  time/epoch: 0.041  correct: 50 loss: 0.5670210685055194
Epoch: 494  time/epoch: 0.041  correct: 50 loss: 0.08192992909261898
Epoch: 495  time/epoch: 0.044  correct: 50 loss: 0.7079373795372923
Epoch: 496  time/epoch: 0.04  correct: 50 loss: 0.3324921233251884
Epoch: 497  time/epoch: 0.048  correct: 50 loss: 0.2515805944338293
Epoch: 498  time/epoch: 0.052  correct: 50 loss: 0.587985910569525
Epoch: 499  time/epoch: 0.057  correct: 50 loss: 0.24512795711797666

Large Model (200 Hidden Layers)

CPU XOR Large Model Full Logs

Epoch: 490  time/epoch: 0.122  correct: 50 loss: 0.5499636749810255
Epoch: 491  time/epoch: 0.111  correct: 50 loss: 0.4412281049084891
Epoch: 492  time/epoch: 0.109  correct: 50 loss: 0.3001558608446644
Epoch: 493  time/epoch: 0.107  correct: 50 loss: 0.5466758546715463
Epoch: 494  time/epoch: 0.109  correct: 50 loss: 0.9098846998562004
Epoch: 495  time/epoch: 0.106  correct: 49 loss: 0.4579630306186758
Epoch: 496  time/epoch: 0.108  correct: 50 loss: 0.36159400644326195
Epoch: 497  time/epoch: 0.109  correct: 50 loss: 0.3004750894542475
Epoch: 498  time/epoch: 0.113  correct: 50 loss: 0.06292743283668693
Epoch: 499  time/epoch: 0.109  correct: 50 loss: 0.36189260097331766

GPU Logs

Dataset 1: Simple

Small Model (100 Hidden Layers)

GPU Simple Small Model Full Logs

Epoch: 490  time/epoch: 2.258  correct: 50 loss: 0.669243913269936
Epoch: 491  time/epoch: 2.635  correct: 47 loss: 0.012752511048284948
Epoch: 492  time/epoch: 1.858  correct: 50 loss: 0.4773855286498626
Epoch: 493  time/epoch: 1.969  correct: 50 loss: 0.3179427853413576
Epoch: 494  time/epoch: 1.869  correct: 49 loss: 0.8192009528365494
Epoch: 495  time/epoch: 1.916  correct: 50 loss: 0.9707794059629369
Epoch: 496  time/epoch: 2.021  correct: 49 loss: 0.26315440897402803
Epoch: 497  time/epoch: 2.217  correct: 49 loss: 0.8223024843602151
Epoch: 498  time/epoch: 1.834  correct: 50 loss: 0.3544859270705081
Epoch: 499  time/epoch: 1.923  correct: 50 loss: 0.1382104278653334

Large Model (200 Hidden Layers)

GPU Simple Large Model Full Logs

Epoch: 490  time/epoch: 2.649  correct: 50 loss: 0.0898665854453213
Epoch: 491  time/epoch: 2.186  correct: 50 loss: 0.010849949155493753
Epoch: 492  time/epoch: 2.444  correct: 50 loss: 0.0001535534359212782
Epoch: 493  time/epoch: 2.496  correct: 50 loss: 0.0016656000439290778
Epoch: 494  time/epoch: 2.537  correct: 50 loss: 0.0213044954611823
Epoch: 495  time/epoch: 1.997  correct: 50 loss: 0.0366721437665844
Epoch: 496  time/epoch: 1.99  correct: 50 loss: 0.0041036867730939565
Epoch: 497  time/epoch: 2.054  correct: 50 loss: 0.023411332145378463
Epoch: 498  time/epoch: 1.996  correct: 50 loss: 0.05201037043627177
Epoch: 499  time/epoch: 2.143  correct: 50 loss: 0.10436034954534351

Dataset 2: Split

Small Model (100 Hidden Layers)

GPU Split Small Model Full Logs

Epoch: 490  time/epoch: 1.891  correct: 50 loss: 0.2925929603951757
Epoch: 491  time/epoch: 1.862  correct: 50 loss: 0.2437077484149956
Epoch: 492  time/epoch: 1.888  correct: 50 loss: 0.26714149507198537
Epoch: 493  time/epoch: 2.377  correct: 50 loss: 0.22061432385473745
Epoch: 494  time/epoch: 1.88  correct: 50 loss: 0.4241978701407801
Epoch: 495  time/epoch: 2.234  correct: 50 loss: 0.20624496627865826
Epoch: 496  time/epoch: 2.309  correct: 50 loss: 0.10114756412748278
Epoch: 497  time/epoch: 1.975  correct: 50 loss: 0.42677082415403933
Epoch: 498  time/epoch: 1.854  correct: 50 loss: 0.20135839673846015
Epoch: 499  time/epoch: 1.845  correct: 50 loss: 0.28199865131379154

GPU Split Large Model Full Logs

Epoch: 490  time/epoch: 1.994  correct: 50 loss: 0.0460216830815995
Epoch: 491  time/epoch: 2.29  correct: 50 loss: 0.17172398291768307
Epoch: 492  time/epoch: 2.495  correct: 50 loss: 0.006852126788436738
Epoch: 493  time/epoch: 2.461  correct: 50 loss: 0.07905437550800748
Epoch: 494  time/epoch: 2.03  correct: 50 loss: 0.006275140148132662
Epoch: 495  time/epoch: 1.946  correct: 50 loss: 0.01641350003145869
Epoch: 496  time/epoch: 1.961  correct: 50 loss: 0.04182278020659123
Epoch: 497  time/epoch: 2.017  correct: 50 loss: 0.16695578691649957
Epoch: 498  time/epoch: 2.006  correct: 50 loss: 0.0789306618295536
Epoch: 499  time/epoch: 1.955  correct: 50 loss: 0.031103915554165702

Dataset 3: XOR

Small Model (100 Hidden Layers)

GPU XOR Small Model Full Logs

Epoch: 490  time/epoch: 3.153  correct: 48 loss: 0.6854577289726315
Epoch: 491  time/epoch: 3.192  correct: 48 loss: 0.9608469681394641
Epoch: 492  time/epoch: 3.227  correct: 48 loss: 1.407126798488358
Epoch: 493  time/epoch: 2.424  correct: 48 loss: 1.2213035793072395
Epoch: 494  time/epoch: 1.865  correct: 48 loss: 0.7307279646732243
Epoch: 495  time/epoch: 1.884  correct: 48 loss: 0.38702393484002423
Epoch: 496  time/epoch: 1.869  correct: 48 loss: 2.0102763513713238
Epoch: 497  time/epoch: 1.912  correct: 49 loss: 0.5965750579864846
Epoch: 498  time/epoch: 2.355  correct: 49 loss: 1.6328201795392707
Epoch: 499  time/epoch: 2.884  correct: 49 loss: 1.4304389312716437

GPU XOR Large Model Full Logs

Epoch: 490  time/epoch: 2.121  correct: 50 loss: 0.07158161310515006
Epoch: 491  time/epoch: 2.457  correct: 50 loss: 0.06938989938088509
Epoch: 492  time/epoch: 2.42  correct: 50 loss: 0.22446716220895815
Epoch: 493  time/epoch: 2.151  correct: 50 loss: 0.06363693661777009
Epoch: 494  time/epoch: 1.973  correct: 50 loss: 0.04353911295999932
Epoch: 495  time/epoch: 1.964  correct: 50 loss: 0.08008182948310376
Epoch: 496  time/epoch: 1.963  correct: 50 loss: 0.0835195617911093
Epoch: 497  time/epoch: 2.066  correct: 50 loss: 0.027788276858056394
Epoch: 498  time/epoch: 2.384  correct: 50 loss: 0.10232473587463337
Epoch: 499  time/epoch: 2.077  correct: 50 loss: 0.03639259978485761

Name		Name	Last commit message	Last commit date
Latest commit History 75 Commits
.github		.github
.vscode		.vscode
logs		logs
minitorch		minitorch
project		project
tests		tests
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
README.md		README.md
files_to_sync.txt		files_to_sync.txt
requirements.extra.txt		requirements.extra.txt
requirements.txt		requirements.txt
setup.cfg		setup.cfg
setup.py		setup.py
sync_previous_module.py		sync_previous_module.py

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MiniTorch Module 3

Parallel Check Script Output

CPU vs. GPU Graph & Logs

Training Output Logs

CPU Logs

Dataset 1: Simple

Small Model (100 Hidden Layers)

Large Model (200 Hidden Layers)

Dataset 2: Split

Small Model (100 Hidden Layers)

Large Model (200 Hidden Layers)

Dataset 3: XOR

Small Model (100 Hidden Layers)

Large Model (200 Hidden Layers)

GPU Logs

Dataset 1: Simple

Small Model (100 Hidden Layers)

Large Model (200 Hidden Layers)

Dataset 2: Split

Small Model (100 Hidden Layers)

Dataset 3: XOR

Small Model (100 Hidden Layers)

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MiniTorch Module 3

Parallel Check Script Output

CPU vs. GPU Graph & Logs

Training Output Logs

CPU Logs

Dataset 1: Simple

Small Model (100 Hidden Layers)

Large Model (200 Hidden Layers)

Dataset 2: Split

Small Model (100 Hidden Layers)

Large Model (200 Hidden Layers)

Dataset 3: XOR

Small Model (100 Hidden Layers)

Large Model (200 Hidden Layers)

GPU Logs

Dataset 1: Simple

Small Model (100 Hidden Layers)

Large Model (200 Hidden Layers)

Dataset 2: Split

Small Model (100 Hidden Layers)

Dataset 3: XOR

Small Model (100 Hidden Layers)

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