mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-01-25 14:58:46 -05:00
cea5853cfa
* working I think * where are my onnx scatter tests?? * forward_only for now * try if nan hack fix NV * looks like issue is different... CUDA WHY * oops that was wrong. Try if this fixes CUDA * simpler multiply * actually finish this up tmrw morning :x * fix tests? * improve tests * improve test and implementation * fix ruff * complete but lots of expected failure... * reviewed tests * add onnx tests * is this a processing op? * add return type to indicate that it's not in-place * final cleanups * use or and improve tests a little * add masked_index_select * call it masked_setitem instead * try * FIXED --------- Co-authored-by: chenyu <chenyu@fastmail.com>
50 lines
1.2 KiB
Markdown
50 lines
1.2 KiB
Markdown
## Reduce
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::: tinygrad.Tensor.sum
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::: tinygrad.Tensor.prod
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::: tinygrad.Tensor.max
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::: tinygrad.Tensor.min
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::: tinygrad.Tensor.any
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::: tinygrad.Tensor.all
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::: tinygrad.Tensor.mean
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::: tinygrad.Tensor.var
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::: tinygrad.Tensor.std
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::: tinygrad.Tensor.std_mean
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::: tinygrad.Tensor.softmax
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::: tinygrad.Tensor.log_softmax
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::: tinygrad.Tensor.logsumexp
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::: tinygrad.Tensor.logcumsumexp
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::: tinygrad.Tensor.argmax
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::: tinygrad.Tensor.argmin
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## Processing
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::: tinygrad.Tensor.avg_pool2d
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::: tinygrad.Tensor.max_pool2d
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::: tinygrad.Tensor.conv2d
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::: tinygrad.Tensor.conv_transpose2d
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::: tinygrad.Tensor.dot
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::: tinygrad.Tensor.matmul
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::: tinygrad.Tensor.einsum
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::: tinygrad.Tensor.cumsum
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::: tinygrad.Tensor.cummax
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::: tinygrad.Tensor.triu
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::: tinygrad.Tensor.tril
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::: tinygrad.Tensor.interpolate
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::: tinygrad.Tensor.scatter
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## Neural Network (functional)
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::: tinygrad.Tensor.linear
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::: tinygrad.Tensor.sequential
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::: tinygrad.Tensor.layernorm
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::: tinygrad.Tensor.batchnorm
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::: tinygrad.Tensor.dropout
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::: tinygrad.Tensor.one_hot
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::: tinygrad.Tensor.scaled_dot_product_attention
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::: tinygrad.Tensor.binary_crossentropy
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::: tinygrad.Tensor.binary_crossentropy_logits
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::: tinygrad.Tensor.sparse_categorical_crossentropy
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::: tinygrad.Tensor.cross_entropy
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::: tinygrad.Tensor.nll_loss
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