tqchen commented on a change in pull request #9023:
URL: https://github.com/apache/tvm/pull/9023#discussion_r709643444
##########
File path: src/te/tensor.cc
##########
@@ -39,15 +39,26 @@ IterVar reduce_axis(Range dom, std::string name) { return
IterVar(dom, Var(name)
Var var(std::string name_hint, DataType t) { return Var(name_hint, t); }
// Tensor
-PrimExpr Tensor::operator()(Array<Var> indices) const {
+PrimExpr Tensor::operator()(Array<Var> indices, bool support_negative_indices
= false) const {
Array<PrimExpr> arr(indices.begin(), indices.end());
- return operator()(arr);
+ return operator()(arr, support_negative_indices);
}
-PrimExpr Tensor::operator()(Array<PrimExpr> indices) const {
- if (ndim() != 0) {
- ICHECK_EQ(ndim(), indices.size()) << "Tensor dimension mismatch in read "
- << "ndim = " << ndim() << ",
indices.size=" << indices.size();
+PrimExpr Tensor::operator()(Array<PrimExpr> indices, bool
support_negative_indices = false) const {
+ Array<PrimExpr> shape = (*this)->shape;
+
+ if (shape.size() != 0) {
+ ICHECK_EQ(shape.size(), indices.size())
+ << "Tensor dimension mismatch in read "
+ << "ndim = " << ndim() << ", indices.size=" << indices.size();
+ }
+
+ if (support_negative_indices) {
+ for (size_t i = 0; i < shape.size(); i++) {
+ PrimExpr new_index = if_then_else(indices[i] <
make_const(indices[i]->dtype, 0),
Review comment:
you want to use select here, because it does not involves a memory
operation(thus can evaluate both sides)
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