fix(aten::slice): Allow slicing of pytorch tensors

We could in the future allow evaluator / converter overwriting to
do the slicing at compile time, but for now we are just going to freeze
the tensor

Signed-off-by: Naren Dasan <naren@narendasan.com>
Signed-off-by: Naren Dasan <narens@nvidia.com>

Author: narendasan

core/conversion/converters/impl/select.cpp

@@ -199,7 +199,7 @@ auto select_registrations TRTORCH_UNUSED =
         .pattern(
             {"aten::slice.Tensor(Tensor(a) self, int dim=0, int start=0, int end=9223372036854775807, int step=1) -> Tensor(a)",
              [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
-               auto in = args[0].ITensor();
+               auto in = args[0].ITensorOrFreeze(ctx);
                auto axis = args[1].unwrapToInt();
                auto maxDim = static_cast<int64_t>(in->getDimensions().d[axis]);
                // Handle case when given tensor index is negative