Mark aten ops as canonical (#86215)
This is the first batch of canonical aten ops. 87 in total. More to come in the future PRs.
native_dropout
abs
add.Tensor
add.Scalar
arange.start_step
bitwise_not
bmm
cat
clamp
constant_pad_nd
convolution
convolution_backward
div.Tensor
div.Scalar
embedding_dense_backward
erf
exp
expand
fill.Scalar
grid_sampler_2d
native_group_norm
native_group_norm_backward
native_layer_norm
native_layer_norm_backward
log
_log_softmax
max.dim
amax
mean.dim
min.dim
amin
mm
mul.Tensor
mul.Scalar
native_batch_norm
permute
scalar_tensor
reciprocal
neg
repeat
relu
gelu
rsqrt
sigmoid
slice.Tensor
slice_scatter
_softmax
squeeze.dim
sum.dim_IntList
sqrt
tanh
unsqueeze
var.dim
where.self
clone
sub.Tensor
sub.Scalar
addmm
_to_copy
view
scatter_add
bitwise_and.Tensor
bitwise_or.Tensor
eq.Scalar
ge.Scalar
le.Scalar
gt.Scalar
lt.Scalar
index_select
nonzero
gather
maximum
minimum
pow.Tensor_Scalar
hardtanh
leaky_relu
_adaptive_avg_pool2d
_adaptive_avg_pool2d_backward
avg_pool2d
avg_pool2d_backward
max_pool2d_with_indices
max_pool2d_with_indices_backward
upsample_bilinear2d.vec
upsample_bilinear2d_backward.vec
upsample_nearest2d.vec
upsample_nearest2d_backward.vec
col2im
Pull Request resolved: https://github.com/pytorch/pytorch/pull/86215
Approved by: https://github.com/suo, https://github.com/anjali411
