[quote="comaniac, post:9, topic:6844"] I like the idea of composite target and believe it would be useful for BYOC. We could ask the developers to first register a target ID and create a specialized tag to specify the desire usage of the customized codegen (e.g., 1) offload to DNNL and fallback to LLVM if not suppport; 2) offload to TensorRT and fallback to CUDA if not support; 3) offload to an accelerator, fallback to DNNL or LLVM if not support.) [/quote]
I'm interested to understand how would the JSON would look like for case 3 (above). Also, could you expand a little on how you see this working, specifically who would oversee the graph partitioning process (and call the expected passes in the expected order) ? --- [Visit Topic](https://discuss.tvm.ai/t/rfc-tvm-target-specification/6844/52) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/5fed1ff78dd8af0a62e732b6cedfc0a49eba6c6d745bb8d4de75909c20cc3de2).
