[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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