for example, if we use `ctx=cuda`,
both input datas are run correctly. I saw that default tvm.nd.array context is cpu(0), >input = tvm.nd.array(shape) but, I designate context "cuda" > input = tvm.nd.array(shape, ctx) both inputs are run correctly, but it have small performance diffs. **Can we get better perfs with designated context like second one?** I want to know about principle of tvm data context --- [Visit Topic](https://discuss.tvm.apache.org/t/do-we-have-to-identify-tvm-nd-array-context/8218/1) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/cab56d5977fdc19599b9c383c35ea5c6ba3ceb4514bcf9981db9e56a779fc4d9).
