feat: _do_annotate_conv_bn + _annotate_softmax #1
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Motivation
Fix some torch limitations
_get_aten_graph_module_for_pattern
receives this_conv_bn
fn and call torchcapture_pre_autograd_graph
with it, but inside this torch function it has this following assert (torch/_export/__init__.py:147
):This PR encapsulates the callable as a torch.nn.Module so that it does no raises this problem.
Add softmax quantized op
There is no softmax included in the static op in ai-edge-torch nowadays, therefore we are adding
_annotate_softmax
so that we can convert a full int8 model that included a softmax as output layer.