* 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>
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