[mlir][bufferization] Support custom types (1/N) (#142986) Following the addition of TensorLike and BufferLike type interfaces (see 00eaff3e9c897c263a879416d0f151d7ca7eeaff), introduce minimal changes required to bufferize a custom tensor operation into a custom buffer operation. To achieve this, new interface methods are added to TensorLike type interface that abstract away the differences between existing (tensor -> memref) and custom conversions. The scope of the changes is intentionally limited (for example, BufferizableOpInterface is untouched) in order to first understand the basics and reach consensus design-wise. --- Notable changes: * mlir::bufferization::getBufferType() returns BufferLikeType (instead of BaseMemRefType) * ToTensorOp / ToBufferOp operate on TensorLikeType / BufferLikeType. Operation argument "memref" renamed to "buffer" * ToTensorOp's tensor type inferring builder is dropped (users now need to provide the tensor type explicitly)
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