Method emitTupleSlice

source/python.js:17888–17908

(loc, tuple_val, tuple_args)

                throw new python.Error(`Tuple slice indices must be integer constants at '${loc}'.`);
            }
            emitTupleSlice(loc, tuple_val, tuple_args) {
                const tuple_type = tuple_val.value(this.graph).type().expect(torch.TupleType);
                const tuple_len = tuple_type.elements().length;
                const [beg_val, end_val, step] = tuple_args;
                let step_size = 1;
                if (step) {
                    const val = torch._C.toIValue(step.value(this.graph));
                    torch._C.TORCH_CHECK(val.isInt());
                    step_size = val.toInt();
                }
                let beg = { _: Number.MAX_SAFE_INTEGER }; // std::numeric_limits<int64_t>::max();
                if (beg_val) {
                    beg = { _: this.getAdjTupleIndex(loc, tuple_type, this.getSliceInd(beg_val.value(this.graph), loc), true) };
                }
                let end = { _: Number.MAX_SAFE_INTEGER }; // std::numeric_limits<int64_t>::max();
                if (end_val) {
                    end = { _: this.getAdjTupleIndex(loc, tuple_type, this.getSliceInd(end_val.value(this.graph), loc), true) };
                }
                const num_values = torch._C.slice_indices_adjust(tuple_len, beg, end, step_size);
                return this.graph.insertNode(this.graph.createTupleSlice(tuple_val.value(this.graph), beg._, step_size, num_values)).output();
            }
            emitSliceOp(loc, sliceable, dim, start, end, step) {
                const args = [];
                args.push(new torch._C.NamedValue(loc, 'self', sliceable));