mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-06-24 02:14:17 +00:00
53d6f1e1bb* poc * repeated values fail, sigh * is this being timed out? * fix up down names * bitonic v2, does this run? * bitonic v3, faster * bitonic v3.1, faster * bitonic v3.1.1, same speed unlucky * support dim and indices * bitonic v3.2, simpler code, TODO repeated indices * bruv gimme green for once cmon * cat (stack) implementation, slow but maybe one day when cat is fast meow * revert to v3.2 * bitonic v4, who let the cats out edition * clean up variable names * figured out repeated indices :D * ruff check --fix * use sort for topk * add Tensor.sort everywhere * fix docs and add some types * slightly better variable names * am I doing torch inplace correctly? * delegate sort to values_stable * add a contig, faster first sort * maybe don't test_inplace --------- Co-authored-by: chenyu <chenyu@fastmail.com>
53 lines
1.4 KiB
Markdown
53 lines
1.4 KiB
Markdown
## Reduce
|
|
|
|
::: tinygrad.Tensor.sum
|
|
::: tinygrad.Tensor.prod
|
|
::: tinygrad.Tensor.max
|
|
::: tinygrad.Tensor.min
|
|
::: tinygrad.Tensor.any
|
|
::: tinygrad.Tensor.all
|
|
::: tinygrad.Tensor.isclose
|
|
::: tinygrad.Tensor.mean
|
|
::: tinygrad.Tensor.var
|
|
::: tinygrad.Tensor.std
|
|
::: tinygrad.Tensor.std_mean
|
|
::: tinygrad.Tensor.softmax
|
|
::: tinygrad.Tensor.log_softmax
|
|
::: tinygrad.Tensor.logsumexp
|
|
::: tinygrad.Tensor.logcumsumexp
|
|
::: tinygrad.Tensor.argmax
|
|
::: tinygrad.Tensor.argmin
|
|
|
|
## Processing
|
|
|
|
::: tinygrad.Tensor.avg_pool2d
|
|
::: tinygrad.Tensor.max_pool2d
|
|
::: tinygrad.Tensor.conv2d
|
|
::: tinygrad.Tensor.conv_transpose2d
|
|
::: tinygrad.Tensor.dot
|
|
::: tinygrad.Tensor.matmul
|
|
::: tinygrad.Tensor.einsum
|
|
::: tinygrad.Tensor.cumsum
|
|
::: tinygrad.Tensor.cummax
|
|
::: tinygrad.Tensor.triu
|
|
::: tinygrad.Tensor.tril
|
|
::: tinygrad.Tensor.interpolate
|
|
::: tinygrad.Tensor.scatter
|
|
::: tinygrad.Tensor.scatter_reduce
|
|
::: tinygrad.Tensor.sort
|
|
::: tinygrad.Tensor.topk
|
|
|
|
## Neural Network (functional)
|
|
|
|
::: tinygrad.Tensor.linear
|
|
::: tinygrad.Tensor.sequential
|
|
::: tinygrad.Tensor.layernorm
|
|
::: tinygrad.Tensor.batchnorm
|
|
::: tinygrad.Tensor.dropout
|
|
::: tinygrad.Tensor.one_hot
|
|
::: tinygrad.Tensor.scaled_dot_product_attention
|
|
::: tinygrad.Tensor.binary_crossentropy
|
|
::: tinygrad.Tensor.binary_crossentropy_logits
|
|
::: tinygrad.Tensor.sparse_categorical_crossentropy
|
|
::: tinygrad.Tensor.cross_entropy
|
|
::: tinygrad.Tensor.nll_loss
|