[quote="MarisaKirisame, post:6, topic:3595"]
upstream
[/quote]
Awesome！！！
Thanks very much！！！:+1:
---
[Visit
Topic](https://discuss.tvm.ai/t/relay-concatenate-downcast-from-relay-reftype-to-relay-tensortype-failed/3595/8)
to respond.
You are receiving this because you enabled mailing lis
TVMError:
Error(s) have occurred. The program has been annotated with them:
In `main`:
v0.0.3
fn (%input: Tensor[(2, 3), float32], %input1: Tensor[(3, 3), float32]) ->
(Tensor[(5, 3), float32], (Tensor[(2, 3), float32], Tensor[(3, 3), float32])) {
%0 = fn () -> () {
There are some differences. I try to implement the gradient of
relay.concatenate， but it seems that TVM don't know how to downcast Tuple type
data. The error log shows that: " Downcast from relay.RefType to
relay.TensorType failed."
---
[Visit
Topic](https://discuss.tvm.ai/t/relay-conca
i pulled the newest code, and i can get the data now.
But it still has the same problem,
" Downcast from relay.RefType to relay.TensorType failed."
---
[Visit
Topic](https://discuss.tvm.ai/t/relay-concatenate-missing-data-when-development-the-gradient-of-relay-concatenate/3595/2)
to respo
I try to register a api to implement the gradient of relay.concatenate, Below
is the code I implemented. but i think there is missing some data.
The following code is the c++ code I implemented for concatenate grad
namespace tvm {
namespace relay {
//concatenate split
bo
