## 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.var_mean
::: 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.max_unpool2d
::: 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.masked_select
::: tinygrad.Tensor.masked_fill
::: tinygrad.Tensor.sort
::: tinygrad.Tensor.topk
::: tinygrad.Tensor.multinomial

## 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
