Files
tinygrad/docs/tensor/ops.md
geohotstan cea5853cfa add Tensor.scatter (#7737)
* 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>
2024-11-27 10:52:04 -05:00

1.2 KiB

Reduce

::: tinygrad.Tensor.sum ::: tinygrad.Tensor.prod ::: tinygrad.Tensor.max ::: tinygrad.Tensor.min ::: tinygrad.Tensor.any ::: tinygrad.Tensor.all ::: 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

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