Operator,Compute DType,Quantization,Constraints
_to_dim_order_copy,"fp16, fp32",,no dtype conversion
abs,"fp16, fp32",,
add,"fp16, fp32",PT2E: static int8,alpha=1
avg_pool2d,"fp16, fp32",PT2E: static int8,"ceil_mode=False, count_include_pad=False, divisor_override=pooling_region"
bmm,"fp16, fp32",,
cat,"fp16, fp32",PT2E: static int8,
ceil,"fp16, fp32",,
clamp,"fp16, fp32",,
constant_pad_nd,"fp16, fp32",,no negative padding values
conv1d,"fp16, fp32","PT2E: static or dynamic int8 activations
8-bit weights, symmetric per-tensor or per-channel",constant weights
conv2d,"fp16, fp32","PT2E: static or dynamic int8 activations
8-bit weights, symmetric per-tensor or per-channel",constant weights
dequantize_per_tensor,"fp16, fp32",,
div,"fp16, fp32",,
elu,"fp16, fp32",,
exp,"fp16, fp32",,
floor,"fp16, fp32",,
gelu,"fp16, fp32",,
hardswish,"fp16, fp32",,
hardtanh,"fp16, fp32",,
leaky_relu,"fp16, fp32",,
linear,"fp16, fp32","PT2E: static or dynamic int8 activations
8-bit weights, symmetric per-tensor or per-channel

quantize\_: 8-bit dynamic activations
4-bit groupwise weights",constant weights
log,"fp16, fp32",,
max_pool2d,"fp16, fp32",,"stride ≤ kernel_size, ceil_mode only for static shapes"
maximum,"fp16, fp32",,
mean,"fp16, fp32",,"4D tensors only; dims=[-2,-1] or [-1,-2]"
minimum,"fp16, fp32",,
mul,"fp16, fp32",PT2E: static int8,
neg,"fp16, fp32",,
permute_copy,"fp16, fp32",,
pow,"fp16, fp32",,power=2 only
quantize_per_tensor,"fp16, fp32",,
relu,"fp16, fp32",,
rsqrt,"fp16, fp32",,
sigmoid,"fp16, fp32",,
slice_copy,"fp16, fp32",,"no zero-dim tensors, no dynamic shapes"
softmax,"fp16, fp32",,dim must be last dimension
sqrt,"fp16, fp32",,
sub,"fp16, fp32",,alpha=1
tanh,"fp16, fp32",,
upsample_bilinear2d,"fp16, fp32",,no dynamic output sizes