[schedule][mlir] consumer fusion - #112
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Great work, thanks for doing this! See the requested changes above
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Motivation
Adds consumer fusion to the mlir backend.
Description
Implements fuse_consumer_at() for the mlir backend, the main use case being fusing relus that come after matmuls or conv2ds. It makes use of the new xtc-mlir python bindings, and a new xtc-mlir transform op FuseConsumerOp.
It only works when using the tensor dialect, the same as producer fusion.
Originally it took the name of the consumer as input, but I modified it to only fuse the first output to match how the tvm fuse_consumer_at is being implemented.