mirror of
https://github.com/tinygrad/tinygrad.git
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6480a1a180* add disk_tensor * fix jit * new baseline before whitening * whitening through torch * whiting done currently at 91.65% * 91.99% * clean up mixup and 92.3% * clean up 92.30% * 92.49% before searching for new hyper-parameters * fix CI * fix white space * add whitening init in test * refactor, update hyperpara, 92.72% * converting whiting to tinygrad operation * update CI kernels count for CIFAR * add pad reflect * add random crop 92.53% * update hyperpara 93% * 93.15% on docker container, need to refactor the assignment for hyper param * print out weights and bias to be separated * bias/non-bias params separated * fix whitespace * clean up * refactor hyper-param with dict * refactor lr schedular params * fix whitespace * fix cross entropy loss * fix whitespace * move opt hyp to hyp dict * minor fixup * adjust model, loss scaling * 92.74% while using half of compute as before * update hyp for cutmix * random shuffle during batches * clean up * updating the model * update ConvGroup * disable gradients for batchnorm layer weights * whitespace * 93.92% * clean up * finally 94%git add .! * rewrite whitening to remove dependency on torch * whitespace * remove dependency on torch, 93.91% * back to 94.03% * clean up * update test_real_world |
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| .. | ||
| external | ||
| extra | ||
| models | ||
| unit | ||
| __init__.py | ||
| Dockerfile | ||
| test_assign.py | ||
| test_conv.py | ||
| test_conv_shapetracker.py | ||
| test_custom_function.py | ||
| test_dtype.py | ||
| test_gc.py | ||
| test_helpers.py | ||
| test_jit.py | ||
| test_lazybuffer.py | ||
| test_linearizer.py | ||
| test_net_speed.py | ||
| test_nn.py | ||
| test_ops.py | ||
| test_optim.py | ||
| test_randomness.py | ||
| test_specific_conv.py | ||
| test_speed_v_torch.py | ||
| test_symbolic_shapetracker.py | ||
| test_tensor.py | ||
| test_uops.py | ||
| test_webgpu.js | ||