comaniac commented on a change in pull request #8672:
URL: https://github.com/apache/tvm/pull/8672#discussion_r684371572
##########
File path: tests/python/relay/test_op_level6.py
##########
@@ -25,15 +25,14 @@
@tvm.testing.uses_gpu
def test_sort():
- def verify_sort(shape, axis, is_ascend, is_dyn=False):
-
+ def verify_sort(shape, axis, is_ascend, is_dyn=False, in_dtype="float32"):
Review comment:
We could also do a small refactoring for this file:
- Use `@pytest.mark.parametrize("in_dtype", ["float32", "float16"])` in each
unit test.
- Let pytest collect tests in the main function:
```python
if __name__ == "__main__":
pytest.main([__file__])
```
##########
File path: src/runtime/contrib/sort/sort.cc
##########
@@ -153,27 +174,29 @@ void sort_impl(DLTensor* input, DLTensor* output, int32_t
axis, bool is_ascend,
} else {
std::stable_sort(sorter.begin(), sorter.end(),
CompareDescend<DataType>);
}
- if (is_argsort) {
- for (int64_t k = 0; k < input->shape[axis]; ++k) {
- out_ptr[base_idx + k * axis_mul_after] =
static_cast<OutType>(sorter[k].first);
- }
- } else {
- for (int64_t k = 0; k < input->shape[axis]; ++k) {
- out_ptr[base_idx + k * axis_mul_after] =
static_cast<OutType>(sorter[k].second);
- }
+ for (int64_t k = 0; k < input->shape[axis]; ++k) {
+ epilogue(out_ptr, base_idx + k * axis_mul_after, sorter[k]);
Review comment:
Thanks for the explanation. Make sense to me.
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